blob: b7612057374c02b7da6d5b6d25ee1c3f30e06045 [file] [log] [blame]
#!/usr/bin/env python
# Setup script for PyPI; use CMakeFile.txt to build extension modules
from setuptools import setup
from distutils.command.install_headers import install_headers
from pybind11 import __version__
import os
# Prevent installation of pybind11 headers by setting
if os.environ.get('PYBIND11_USE_CMAKE'):
headers = []
headers = [
class InstallHeaders(install_headers):
"""Use custom header installer because the default one flattens subdirectories"""
def run(self):
if not self.distribution.headers:
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)
(out, _) = self.copy_file(header, install_dir)
description='Seamless operability between C++11 and Python',
author='Wenzel Jakob',
download_url='' + __version__,
'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
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.""")