123 lines
4.8 KiB
Python
123 lines
4.8 KiB
Python
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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 = [
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'include/pybind11/detail/class.h',
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'include/pybind11/detail/common.h',
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'include/pybind11/detail/descr.h',
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'include/pybind11/detail/init.h',
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'include/pybind11/detail/internals.h',
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'include/pybind11/detail/typeid.h',
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'include/pybind11/attr.h',
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'include/pybind11/buffer_info.h',
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'include/pybind11/cast.h',
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'include/pybind11/chrono.h',
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'include/pybind11/common.h',
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'include/pybind11/complex.h',
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'include/pybind11/eigen.h',
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'include/pybind11/embed.h',
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'include/pybind11/eval.h',
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'include/pybind11/functional.h',
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'include/pybind11/iostream.h',
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'include/pybind11/numpy.h',
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'include/pybind11/operators.h',
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'include/pybind11/options.h',
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'include/pybind11/pybind11.h',
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'include/pybind11/pytypes.h',
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'include/pybind11/stl.h',
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'include/pybind11/stl_bind.h',
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]
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# Prevent installation of pybind11 headers by setting
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# PYBIND11_USE_CMAKE.
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if os.environ.get('PYBIND11_USE_CMAKE'):
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headers = []
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else:
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headers = package_data
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class InstallHeaders(install_headers):
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"""Use custom header installer because the default one flattens subdirectories"""
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def run(self):
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if not self.distribution.headers:
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return
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for header in self.distribution.headers:
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subdir = os.path.dirname(os.path.relpath(header, 'include/pybind11'))
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install_dir = os.path.join(self.install_dir, subdir)
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self.mkpath(install_dir)
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(out, _) = self.copy_file(header, install_dir)
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self.outfiles.append(out)
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# Install the headers inside the package as well
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class BuildPy(build_py):
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def build_package_data(self):
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build_py.build_package_data(self)
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for header in package_data:
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target = os.path.join(self.build_lib, 'pybind11', header)
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self.mkpath(os.path.dirname(target))
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self.copy_file(header, target, preserve_mode=False)
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setup(
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name='pybind11',
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version=__version__,
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description='Seamless operability between C++11 and Python',
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author='Wenzel Jakob',
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author_email='wenzel.jakob@epfl.ch',
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url='https://github.com/pybind/pybind11',
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download_url='https://github.com/pybind/pybind11/tarball/v' + __version__,
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packages=['pybind11'],
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license='BSD',
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headers=headers,
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zip_safe=False,
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cmdclass=dict(install_headers=InstallHeaders, build_py=BuildPy),
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classifiers=[
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'Development Status :: 5 - Production/Stable',
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'Intended Audience :: Developers',
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'Topic :: Software Development :: Libraries :: Python Modules',
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'Topic :: Utilities',
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'Programming Language :: C++',
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'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.2',
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'Programming Language :: Python :: 3.3',
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'License :: OSI Approved :: BSD License'
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],
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keywords='C++11, Python bindings',
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long_description="""pybind11 is a lightweight header-only library that
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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
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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
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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
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compatibility has its cost: arcane template tricks and workarounds are
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necessary to support the oldest and buggiest of compiler specimens. Now that
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C++11-compatible compilers are widely available, this heavy machinery has
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become an excessively large and unnecessary dependency.
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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
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Python (2.7 or 3.x, or PyPy2.7 >= 5.7) and the C++ standard library. This
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compact implementation was possible thanks to some of the new C++11 language
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features (specifically: tuples, lambda functions and variadic templates). Since
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its creation, this library has grown beyond Boost.Python in many ways, leading
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to dramatically simpler binding code in many common situations.""")
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