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#!/usr/bin/env python
# Setup script for PyPI; use CMakeFile.txt to build extension modules
from setuptools import setup from pybind11 import __version__ import os
# Prevent installation of pybind11 headers by setting # PYBIND11_USE_CMAKE. if os.environ.get('PYBIND11_USE_CMAKE'): headers = [] else: headers = [ 'include/pybind11/attr.h', 'include/pybind11/buffer_info.h', 'include/pybind11/cast.h', 'include/pybind11/chrono.h', 'include/pybind11/class_support.h', 'include/pybind11/common.h', 'include/pybind11/complex.h', 'include/pybind11/descr.h', 'include/pybind11/eigen.h', 'include/pybind11/embed.h', 'include/pybind11/eval.h', 'include/pybind11/functional.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', 'include/pybind11/typeid.h' ]
setup( name='pybind11', version=__version__, description='Seamless operability between C++11 and Python', author='Wenzel Jakob', author_email='wenzel.jakob@epfl.ch', url='https://github.com/wjakob/pybind11', download_url='https://github.com/wjakob/pybind11/tarball/v' + __version__, packages=['pybind11'], license='BSD', headers=headers, 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', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'License :: OSI Approved :: BSD License' ], keywords='C++11, Python bindings', long_description="""pybind11 is a lightweight header-only library that
exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code. Its goals and syntax are similar to the excellent Boost.Python by David Abrahams: to minimize boilerplate code in traditional extension modules by inferring type information using compile-time introspection.
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 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 everything stripped away that isn't relevant for binding generation. Without 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.""")
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