def main():
import glob
from aksetup_helper import (hack_distutils, get_config, setup, \
NumpyExtension, Extension, set_up_shipped_boost_if_requested)
hack_distutils()
conf = get_config(get_config_schema())
EXTRA_SOURCES, EXTRA_DEFINES = set_up_shipped_boost_if_requested(conf)
EXTRA_DEFINES["PYGPU_PACKAGE"] = "pycuda"
EXTRA_DEFINES["PYGPU_PYCUDA"] = "1"
LIBRARY_DIRS = conf["BOOST_LIB_DIR"]
LIBRARIES = conf["BOOST_PYTHON_LIBNAME"] + conf["BOOST_THREAD_LIBNAME"]
from os.path import dirname, join, normpath
if conf["CUDA_ROOT"] is None:
nvcc_path = search_on_path(["nvcc", "nvcc.exe"])
if nvcc_path is None:
print("*** CUDA_ROOT not set, and nvcc not in path. Giving up.")
import sys
sys.exit(1)
conf["CUDA_ROOT"] = normpath(join(dirname(nvcc_path), ".."))
if conf["CUDA_INC_DIR"] is None:
conf["CUDA_INC_DIR"] = [join(conf["CUDA_ROOT"], "include")]
if not conf["CUDADRV_LIB_DIR"]:
conf["CUDADRV_LIB_DIR"] = [join(conf["CUDA_ROOT"], "lib")]
verify_siteconfig(conf)
EXTRA_INCLUDE_DIRS = []
EXTRA_LIBRARY_DIRS = []
EXTRA_LIBRARIES = []
if conf["CUDA_TRACE"]:
EXTRA_DEFINES["CUDAPP_TRACE_CUDA"] = 1
if conf["CUDA_PRETEND_VERSION"]:
EXTRA_DEFINES["CUDAPP_PRETEND_CUDA_VERSION"] = conf[
"CUDA_PRETEND_VERSION"]
INCLUDE_DIRS = ['src/cpp'] + conf["BOOST_INC_DIR"] + conf["CUDA_INC_DIR"]
conf["USE_CUDA"] = True
import sys
if 'darwin' in sys.platform and sys.maxsize == 2147483647:
# The Python interpreter is running in 32 bit mode on OS X
if "-arch" not in conf["CXXFLAGS"]:
conf["CXXFLAGS"].extend(['-arch', 'i386', '-m32'])
if "-arch" not in conf["LDFLAGS"]:
conf["LDFLAGS"].extend(['-arch', 'i386', '-m32'])
ext_kwargs = dict()
if conf["CUDA_ENABLE_GL"]:
EXTRA_SOURCES.append("src/wrapper/wrap_cudagl.cpp")
EXTRA_DEFINES["HAVE_GL"] = 1
ver_dic = {}
exec(
compile(
open("pycuda/__init__.py").read(), "pycuda/__init__.py", 'exec'),
ver_dic)
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
setup(
name="pycuda",
# metadata
version=ver_dic["VERSION_TEXT"],
description="Python wrapper for Nvidia CUDA",
long_description="""
PyCUDA lets you access `Nvidia <http://nvidia.com>`_'s `CUDA
<http://nvidia.com/cuda/>`_ parallel computation API from Python.
Several wrappers of the CUDA API already exist-so what's so special
about PyCUDA?
* Object cleanup tied to lifetime of objects. This idiom, often
called
`RAII <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
in C++, makes it much easier to write correct, leak- and
crash-free code. PyCUDA knows about dependencies, too, so (for
example) it won't detach from a context before all memory
allocated in it is also freed.
* Convenience. Abstractions like pycuda.driver.SourceModule and
pycuda.gpuarray.GPUArray make CUDA programming even more
convenient than with Nvidia's C-based runtime.
* Completeness. PyCUDA puts the full power of CUDA's driver API at
your disposal, if you wish. It also includes code for
interoperability with OpenGL.
* Automatic Error Checking. All CUDA errors are automatically
translated into Python exceptions.
* Speed. PyCUDA's base layer is written in C++, so all the niceties
above are virtually free.
* Helpful `Documentation <http://documen.tician.de/pycuda>`_ and a
`Wiki <http://wiki.tiker.net/PyCuda>`_.
Relatedly, like-minded computing goodness for `OpenCL <http://khronos.org>`_
is provided by PyCUDA's sister project `PyOpenCL <http://pypi.python.org/pypi/pyopencl>`_.
""",
author="Andreas Kloeckner",
author_email="*****@*****.**",
license="MIT",
url="http://mathema.tician.de/software/pycuda",
classifiers=[
'Environment :: Console',
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: C++',
'Programming Language :: Python',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
'Topic :: Scientific/Engineering :: Visualization',
],
# build info
packages=["pycuda", "pycuda.gl", "pycuda.sparse"],
install_requires=["pytools>=2011.2", "pytest>=2", "decorator>=3.2.0"],
ext_package="pycuda",
ext_modules=[
NumpyExtension(
"_driver",
[
"src/cpp/cuda.cpp",
"src/cpp/bitlog.cpp",
"src/wrapper/wrap_cudadrv.cpp",
"src/wrapper/mempool.cpp",
] + EXTRA_SOURCES,
include_dirs=INCLUDE_DIRS + EXTRA_INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS + conf["CUDADRV_LIB_DIR"],
libraries=LIBRARIES + conf["CUDADRV_LIBNAME"],
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
Extension(
"_pvt_struct",
["src/wrapper/_pycuda_struct.c"],
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
)
],
data_files=[("include/pycuda", glob.glob("src/cuda/*.hpp"))],
# 2to3 invocation
cmdclass={'build_py': build_py})
def main():
from aksetup_helper import (hack_distutils, get_config, setup,
NumpyExtension,
set_up_shipped_boost_if_requested,
check_git_submodules)
check_git_submodules()
hack_distutils()
conf = get_config(get_config_schema(), warn_about_no_config=False)
EXTRA_OBJECTS, EXTRA_DEFINES = \
set_up_shipped_boost_if_requested("pyopencl", conf)
LIBRARY_DIRS = conf["BOOST_LIB_DIR"]
LIBRARIES = conf["BOOST_PYTHON_LIBNAME"]
EXTRA_INCLUDE_DIRS = []
EXTRA_DEFINES["PYGPU_PACKAGE"] = "pyopencl"
EXTRA_DEFINES["PYGPU_PYOPENCL"] = "1"
if conf["CL_TRACE"]:
EXTRA_DEFINES["PYOPENCL_TRACE"] = 1
INCLUDE_DIRS = conf["BOOST_INC_DIR"] + conf["CL_INC_DIR"]
if conf["CL_ENABLE_GL"]:
EXTRA_DEFINES["HAVE_GL"] = 1
if conf["CL_ENABLE_DEVICE_FISSION"]:
EXTRA_DEFINES["PYOPENCL_USE_DEVICE_FISSION"] = 1
if conf["CL_PRETEND_VERSION"]:
try:
major, minor = [
int(x) for x in conf["CL_PRETEND_VERSION"].split(".")
]
EXTRA_DEFINES["PYOPENCL_PRETEND_CL_VERSION"] = \
0x1000*major + 0x10 * minor
except:
print("CL_PRETEND_VERSION must be of the form M.N, "
"with two integers M and N")
raise
ver_dic = {}
version_file = open("pyopencl/version.py")
try:
version_file_contents = version_file.read()
finally:
version_file.close()
exec(compile(version_file_contents, "pyopencl/version.py", 'exec'),
ver_dic)
SEPARATOR = "-" * 75
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
try:
import mako # noqa
except ImportError:
print(SEPARATOR)
print("Mako is not installed.")
print(SEPARATOR)
print("That is not a problem, as most of PyOpenCL will be just fine ")
print("without it.Some higher-level parts of pyopencl (such as ")
print(
"pyopencl.reduction) will not function without the templating engine "
)
print(
"Mako [1] being installed. If you would like this functionality to "
)
print("work, you might want to install Mako after you finish ")
print("installing PyOpenCL.")
print("")
print("[1] http://www.makotemplates.org/")
print(SEPARATOR)
print("Hit Ctrl-C now if you'd like to think about the situation.")
print(SEPARATOR)
from aksetup_helper import count_down_delay
count_down_delay(delay=5)
might_be_cuda = False
for inc_dir in conf["CL_INC_DIR"]:
inc_dir = inc_dir.lower()
if "nv" in inc_dir or "cuda" in inc_dir:
might_be_cuda = True
if might_be_cuda and conf["CL_ENABLE_DEVICE_FISSION"]:
print(SEPARATOR)
print("You might be compiling against Nvidia CUDA with device "
"fission enabled.")
print(SEPARATOR)
print("That is not a problem on CUDA 4.0 and newer. If you are "
"using CUDA 3.2,")
print(
"your build will break, because Nvidia shipped a broken CL header in"
)
print(
"in your version. The fix is to set CL_ENABLE_DEVICE_FISSION to False"
)
print("in your PyOpenCL configuration.")
print(SEPARATOR)
print("Hit Ctrl-C now if you'd like to think about the situation.")
print(SEPARATOR)
from aksetup_helper import count_down_delay
count_down_delay(delay=5)
import sys
if sys.version_info >= (3, ):
pvt_struct_source = "src/wrapper/_pvt_struct_v3.cpp"
else:
pvt_struct_source = "src/wrapper/_pvt_struct_v2.cpp"
setup(
name="pyopencl",
# metadata
version=ver_dic["VERSION_TEXT"],
description="Python wrapper for OpenCL",
long_description=open("README.rst", "rt").read(),
author="Andreas Kloeckner",
author_email="*****@*****.**",
license="MIT",
url="http://mathema.tician.de/software/pyopencl",
classifiers=[
'Environment :: Console',
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: C++',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.4',
'Programming Language :: Python :: 2.5',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
],
# build info
packages=["pyopencl", "pyopencl.characterize", "pyopencl.compyte"],
install_requires=[
"pytools>=2013.5.2",
"pytest>=2",
"decorator>=3.2.0",
# "Mako>=0.3.6",
],
ext_package="pyopencl",
ext_modules=[
NumpyExtension(
"_cl",
[
"src/wrapper/wrap_cl.cpp",
"src/wrapper/wrap_cl_part_1.cpp",
"src/wrapper/wrap_cl_part_2.cpp",
"src/wrapper/wrap_constants.cpp",
"src/wrapper/wrap_mempool.cpp",
"src/wrapper/bitlog.cpp",
] + EXTRA_OBJECTS,
include_dirs=INCLUDE_DIRS + EXTRA_INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS + conf["CL_LIB_DIR"],
libraries=LIBRARIES + conf["CL_LIBNAME"],
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
NumpyExtension(
"_pvt_struct",
[pvt_struct_source],
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
],
include_package_data=True,
package_data={"pyopencl": [
"cl/*.cl",
"cl/*.h",
]},
# 2to3 invocation
cmdclass={'build_py': build_py},
zip_safe=False)
def main():
import sys
from aksetup_helper import (hack_distutils, get_config, setup,
NumpyExtension,
set_up_shipped_boost_if_requested,
check_git_submodules)
check_git_submodules()
hack_distutils()
conf = get_config(get_config_schema())
EXTRA_SOURCES, EXTRA_DEFINES = set_up_shipped_boost_if_requested(
"pycuda", conf)
EXTRA_DEFINES["PYGPU_PACKAGE"] = "pycuda"
EXTRA_DEFINES["PYGPU_PYCUDA"] = "1"
LIBRARY_DIRS = conf["BOOST_LIB_DIR"] + conf["CUDADRV_LIB_DIR"]
LIBRARIES = (conf["BOOST_PYTHON_LIBNAME"] + conf["BOOST_THREAD_LIBNAME"] +
conf["CUDADRV_LIBNAME"])
if not conf["CUDA_INC_DIR"] and conf["CUDA_ROOT"]:
conf["CUDA_INC_DIR"] = [join(conf["CUDA_ROOT"], "include")]
if conf["CUDA_TRACE"]:
EXTRA_DEFINES["CUDAPP_TRACE_CUDA"] = 1
if conf["CUDA_PRETEND_VERSION"]:
EXTRA_DEFINES["CUDAPP_PRETEND_CUDA_VERSION"] = conf[
"CUDA_PRETEND_VERSION"]
INCLUDE_DIRS = ['src/cpp'] + conf["BOOST_INC_DIR"]
if conf["CUDA_INC_DIR"]:
INCLUDE_DIRS += conf["CUDA_INC_DIR"]
conf["USE_CUDA"] = True
if 'darwin' in sys.platform and sys.maxsize == 2147483647:
# The Python interpreter is running in 32 bit mode on OS X
if "-arch" not in conf["CXXFLAGS"]:
conf["CXXFLAGS"].extend(['-arch', 'i386', '-m32'])
if "-arch" not in conf["LDFLAGS"]:
conf["LDFLAGS"].extend(['-arch', 'i386', '-m32'])
if 'darwin' in sys.platform:
# set path to Cuda dynamic libraries,
# as a safe substitute for DYLD_LIBRARY_PATH
for lib_dir in conf["CUDADRV_LIB_DIR"]:
conf["LDFLAGS"].extend(["-Xlinker", "-rpath", "-Xlinker", lib_dir])
if conf["CUDA_ENABLE_GL"]:
EXTRA_SOURCES.append("src/wrapper/wrap_cudagl.cpp")
EXTRA_DEFINES["HAVE_GL"] = 1
if conf["CUDA_ENABLE_CURAND"]:
EXTRA_DEFINES["HAVE_CURAND"] = 1
EXTRA_SOURCES.extend(["src/wrapper/wrap_curand.cpp"])
LIBRARIES.extend(conf["CURAND_LIBNAME"])
LIBRARY_DIRS.extend(conf["CURAND_LIB_DIR"])
ver_dic = {}
exec(
compile(
open("pycuda/__init__.py").read(), "pycuda/__init__.py", 'exec'),
ver_dic)
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
import sys
if sys.version_info >= (3, ):
pvt_struct_source = "src/wrapper/_pvt_struct_v3.cpp"
else:
pvt_struct_source = "src/wrapper/_pvt_struct_v2.cpp"
setup(
name="pycuda",
# metadata
version=ver_dic["VERSION_TEXT"],
description="Python wrapper for Nvidia CUDA",
long_description=open("README.rst", "rt").read(),
author="Andreas Kloeckner",
author_email="*****@*****.**",
license="MIT",
url="http://mathema.tician.de/software/pycuda",
classifiers=[
'Environment :: Console',
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: C++',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
'Topic :: Scientific/Engineering :: Visualization',
],
# build info
packages=["pycuda", "pycuda.gl", "pycuda.sparse", "pycuda.compyte"],
install_requires=[
"pytools>=2011.2", "pytest>=2", "decorator>=3.2.0",
"appdirs>=1.4.0"
],
ext_package="pycuda",
ext_modules=[
NumpyExtension(
"_driver",
[
"src/cpp/cuda.cpp",
"src/cpp/bitlog.cpp",
"src/wrapper/wrap_cudadrv.cpp",
"src/wrapper/mempool.cpp",
] + EXTRA_SOURCES,
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS,
libraries=LIBRARIES,
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
NumpyExtension(
"_pvt_struct",
[pvt_struct_source],
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
],
include_package_data=True,
package_data={"pycuda": [
"cuda/*.hpp",
]},
zip_safe=False,
# 2to3 invocation
cmdclass={'build_py': build_py})
def main():
from aksetup_helper import hack_distutils, get_config, setup, \
NumpyExtension
hack_distutils()
conf = get_config(get_config_schema())
INCLUDE_DIRS = ["pyublas/include"] + conf["BOOST_INC_DIR"]
LIBRARY_DIRS = conf["BOOST_LIB_DIR"]
LIBRARIES = conf["BOOST_PYTHON_LIBNAME"]
EXTRA_DEFINES = {}
if conf["USE_ITERATORS"]:
EXTRA_DEFINES["BOOST_UBLAS_USE_ITERATING"] = 1
ext_src = [
"src/wrapper/main.cpp",
"src/wrapper/converters.cpp",
]
if conf["WITH_SPARSE_WRAPPERS"]:
ext_src += [
"src/wrapper/sparse_build.cpp",
"src/wrapper/sparse_execute.cpp",
]
EXTRA_DEFINES["HAVE_SPARSE_WRAPPERS"] = 1
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
setup(
name="PyUblas",
version="2013.1",
description="Seamless Numpy-UBlas interoperability",
long_description=open("README.rst", "rt").read(),
author="Andreas Kloeckner",
author_email="*****@*****.**",
license="BSD",
url="http://mathema.tician.de/software/pyublas",
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Console',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Operating System :: MacOS :: MacOS X',
'Operating System :: POSIX',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.4',
'Programming Language :: Python :: 2.5',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: C++',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Office/Business',
'Topic :: Utilities',
],
# numpy is often under the setuptools radar.
#setup_requires=[
#"numpy>=1.0.4",
#],
install_requires=[
#"numpy>=1.0.4",
"pytest>=2",
],
packages=["pyublas"],
ext_package="pyublas",
ext_modules=[
NumpyExtension(
"_internal",
ext_src,
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS,
libraries=LIBRARIES,
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
NumpyExtension(
"testhelp_ext",
["src/test/testhelp_ext.cpp"],
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS,
libraries=LIBRARIES,
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
)
],
include_package_data=True,
package_data={"pyublas": [
"include/pyublas/*.hpp",
]},
zip_safe=False,
# 2to3 invocation
cmdclass={'build_py': build_py})
def main():
import glob
from aksetup_helper import hack_distutils, get_config, setup, \
NumpyExtension
hack_distutils()
conf = get_config(get_config_schema())
INCLUDE_DIRS = ["src/cpp"] + conf["BOOST_INC_DIR"]
LIBRARY_DIRS = conf["BOOST_LIB_DIR"]
LIBRARIES = conf["BOOST_PYTHON_LIBNAME"]
EXTRA_DEFINES = { }
if conf["USE_ITERATORS"]:
EXTRA_DEFINES["BOOST_UBLAS_USE_ITERATING"] = 1
ext_src = [
"src/wrapper/main.cpp",
"src/wrapper/converters.cpp",
]
if conf["WITH_SPARSE_WRAPPERS"]:
ext_src += [
"src/wrapper/sparse_build.cpp",
"src/wrapper/sparse_execute.cpp",
]
EXTRA_DEFINES["HAVE_SPARSE_WRAPPERS"] = 1
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
setup(
name="PyUblas",
version="2011.1",
description="Seamless Numpy-UBlas interoperability",
long_description="""
PyUblas provides a seamless glue layer between
`Numpy <http://www.numpy.org>`_ and
`Boost.Ublas <http://www.boost.org/doc/libs/1_35_0/libs/numeric/ublas/doc/index.htm>`_
for use with
`Boost.Python <http://www.boost.org/doc/libs/1_35_0/libs/python/doc/index.html>`_.
What does that mean? When writing
`hybrid scientific code <http://mathema.tician.de/node/455>`_,
one of the main problems is that abstractions that
exist in the high-level language go away or become unwieldy in the
low-level language. Sometimes libraries exist in both languages for
these abstractions, but they refuse to talk to each other. PyUblas is
a bridge between two such libraries, for some of the main
abstractions used in scientific codes, namely vectors and matrices.
Documentation
=============
See the
`PyUblas Documentation <http://tiker.net/doc/pyublas>`_
page.
PyUblasExt
==========
PyUblasExt is a companion to PyUblas and exposes a variety of useful
additions to PyUblas, such as an "operator" class, matrix-free linear
system solvers and eigensolvers. Interested? Head over to the
`PyUblasExt <http://mathema.tician.de/software/pyublas/pyublasext>`_
page.
""",
author="Andreas Kloeckner",
author_email="*****@*****.**",
license = "BSD",
url="http://mathema.tician.de/software/pyublas",
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Console',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Operating System :: MacOS :: MacOS X',
'Operating System :: POSIX',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: C++',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Office/Business',
'Topic :: Utilities',
],
# numpy is often under the setuptools radar.
#setup_requires=[
#"numpy>=1.0.4",
#],
#install_requires=[
#"numpy>=1.0.4",
#],
packages=["pyublas"],
ext_package="pyublas",
ext_modules=[
NumpyExtension("_internal",
ext_src,
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS,
libraries=LIBRARIES,
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
NumpyExtension("testhelp_ext",
["src/test/testhelp_ext.cpp"],
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS,
libraries=LIBRARIES,
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
)
],
data_files=[("include/pyublas", glob.glob("src/cpp/pyublas/*.hpp"))],
# 2to3 invocation
cmdclass={'build_py': build_py})
def main():
import os
from aksetup_helper import (hack_distutils, get_config, setup,
NumpyExtension,
set_up_shipped_boost_if_requested,
check_git_submodules)
check_git_submodules()
hack_distutils()
conf = get_config(get_config_schema(), warn_about_no_config=False)
EXTRA_OBJECTS, EXTRA_DEFINES = \
set_up_shipped_boost_if_requested(
"pyviennacl", conf,
source_path="external/boost-python-ublas-subset/boost_subset")
INCLUDE_DIRS = conf["BOOST_INC_DIR"] + ["external/boost_numpy/"]
if conf["USE_SHIPPED_VIENNACL"]:
INCLUDE_DIRS += ["external/viennacl-dev/"]
LIBRARY_DIRS = conf["BOOST_LIB_DIR"]
LIBRARIES = conf["BOOST_PYTHON_LIBNAME"]
# {{{ get version number
ver_dic = {}
version_file = open("pyviennacl/version.py")
try:
version_file_contents = version_file.read()
finally:
version_file.close()
exec(compile(version_file_contents, "pyviennacl/version.py", 'exec'),
ver_dic)
# }}}
if conf["USE_OPENCL"]:
EXTRA_DEFINES["VIENNACL_WITH_OPENCL"] = None
EXTRA_DEFINES["VIENNACL_WITH_UBLAS"] = None
platform_cflags["msvc"] = ["/EHsc"]
platform_cflags["mingw32"] = ["-Wno-unused-function"]
platform_cflags["unix"] = ["-Wno-unused-function"]
if EXTRA_OBJECTS:
platform_cflags['mingw32'] += ["-Wno-unused-local-typedefs"]
if not sys.platform.startswith("darwin"):
platform_cflags['unix'] += ["-Wno-unused-local-typedefs"]
source_files = [
"core", "vector_float", "vector_double", "vector_int", "vector_long",
"vector_uint", "vector_ulong", "dense_matrix_float",
"dense_matrix_double", "dense_matrix_int", "dense_matrix_long",
"dense_matrix_uint", "dense_matrix_ulong", "compressed_matrix",
"coordinate_matrix", "ell_matrix", "hyb_matrix", "direct_solvers",
"iterative_solvers", "eig", "extra_functions", "scheduler",
"opencl_support"
]
from glob import glob
setup(
name="pyviennacl",
version=ver_dic["VERSION_TEXT"],
description="Sparse/dense linear algebra on GPUs and CPUs using OpenCL",
long_description=open("README.rst", "rt").read(),
author='Toby St Clere Smithe',
author_email='*****@*****.**',
url="http://viennacl.sourceforge.net/pyviennacl.html",
classifiers=[
'Environment :: Console',
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: C++',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
],
packages=["pyviennacl"],
ext_package="pyviennacl",
ext_modules=[
NumpyExtension(
"_viennacl",
[
os.path.join("src", "_viennacl", sf + ".cpp")
for sf in source_files
] + glob("external/boost_numpy/libs/numpy/src/*.cpp") +
EXTRA_OBJECTS,
depends=[os.path.join("src", "_viennacl", "viennacl.h")],
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
define_macros=list(EXTRA_DEFINES.items()),
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS + conf["CL_LIB_DIR"],
libraries=LIBRARIES + conf["CL_LIBNAME"],
)
],
cmdclass={'build_ext': build_ext_subclass})
def main():
import glob
from aksetup_helper import (hack_distutils, get_config, setup,
NumpyExtension, set_up_shipped_boost_if_requested)
hack_distutils()
conf = get_config(get_config_schema(),
warn_about_no_config=False)
EXTRA_OBJECTS, EXTRA_DEFINES = set_up_shipped_boost_if_requested(conf)
LIBRARY_DIRS = conf["BOOST_LIB_DIR"]
LIBRARIES = conf["BOOST_PYTHON_LIBNAME"]
from os.path import dirname, join, normpath
EXTRA_INCLUDE_DIRS = []
EXTRA_LIBRARY_DIRS = []
EXTRA_LIBRARIES = []
if conf["CL_TRACE"]:
EXTRA_DEFINES["PYOPENCL_TRACE"] = 1
INCLUDE_DIRS = ['src/cpp'] + conf["BOOST_INC_DIR"] + conf["CL_INC_DIR"]
ext_kwargs = dict()
if conf["CL_ENABLE_GL"]:
EXTRA_DEFINES["HAVE_GL"] = 1
ver_dic = {}
execfile("pyopencl/version.py", ver_dic)
setup(name="pyopencl",
# metadata
version=ver_dic["VERSION_TEXT"],
description="Python wrapper for OpenCL",
long_description="""
PyOpenCL lets you access GPUs and other massively parallel compute
devices from Python. It tries to offer computing goodness in the
spirit of its sister project `PyCUDA <http://mathema.tician.de/software/pycuda>`_:
* Object cleanup tied to lifetime of objects. This idiom, often
called
`RAII <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL's API at
your disposal, if you wish. Every obscure `get_info()` query and
all CL calls are accessible.
* Automatic Error Checking. All CL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL's base layer is written in C++, so all the niceties
above are virtually free.
* Helpful and complete `Documentation <http://documen.tician.de/pyopencl>`_
as well as a `Wiki <http://wiki.tiker.net/PyOpenCL>`_.
* Liberal license. PyOpenCL is open-source under the
`MIT license <http://en.wikipedia.org/wiki/MIT_License>`_
and free for commercial, academic, and private use.
* Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's
CL implementations.
""",
author=u"Andreas Kloeckner",
author_email="*****@*****.**",
license = "MIT",
url="http://mathema.tician.de/software/pyopencl",
classifiers=[
'Environment :: Console',
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Natural Language :: English',
'Programming Language :: C++',
'Programming Language :: Python',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
],
# build info
packages=["pyopencl"],
install_requires=[
"pytools>=7",
"py>=1.0.2",
"decorator>=3.2.0",
],
ext_package="pyopencl",
ext_modules=[
NumpyExtension("_cl",
[
"src/wrapper/wrap_cl.cpp",
"src/wrapper/wrap_cl_part_1.cpp",
"src/wrapper/wrap_cl_part_2.cpp",
"src/wrapper/wrap_constants.cpp",
]+EXTRA_OBJECTS,
include_dirs=INCLUDE_DIRS + EXTRA_INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS + conf["CL_LIB_DIR"],
libraries=LIBRARIES + conf["CL_LIBNAME"],
define_macros=list(EXTRA_DEFINES.iteritems()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
])
def main():
from setuptools import find_packages
from aksetup_helper import (hack_distutils, get_config, setup,
check_pybind11, check_git_submodules, NumpyExtension)
check_pybind11()
check_git_submodules()
hack_distutils()
conf = get_config(get_config_schema(),
warn_about_no_config=False)
extra_defines = {}
extra_defines["PYGPU_PACKAGE"] = "pyopencl"
extra_defines["PYGPU_PYOPENCL"] = "1"
if conf["CL_TRACE"]:
extra_defines["PYOPENCL_TRACE"] = 1
if conf["CL_ENABLE_GL"]:
extra_defines["HAVE_GL"] = 1
if conf["CL_USE_SHIPPED_EXT"]:
extra_defines["PYOPENCL_USE_SHIPPED_EXT"] = 1
if conf["CL_PRETEND_VERSION"]:
try:
major, minor = [int(x) for x in conf["CL_PRETEND_VERSION"].split(".")]
extra_defines["PYOPENCL_PRETEND_CL_VERSION"] = \
0x1000*major + 0x10 * minor
except Exception:
print("CL_PRETEND_VERSION must be of the form M.N, "
"with two integers M and N")
raise
conf["EXTRA_DEFINES"] = extra_defines
INCLUDE_DIRS = conf["CL_INC_DIR"] + ["pybind11/include"] # noqa: N806
ver_dic = {}
version_file = open("pyopencl/version.py")
try:
version_file_contents = version_file.read()
finally:
version_file.close()
exec(compile(version_file_contents, "pyopencl/version.py", 'exec'), ver_dic)
try:
import mako # noqa
except ImportError:
print(SEPARATOR)
print("Mako is not installed.")
print(SEPARATOR)
print("That is not a problem, as most of PyOpenCL will be just fine ")
print("without it. Some higher-level parts of pyopencl (such as ")
print("pyopencl.reduction) will not function without the templating engine ")
print("Mako [1] being installed. If you would like this functionality to ")
print("work, you might want to install Mako after you finish ")
print("installing PyOpenCL.")
print("")
print("Simply type")
print("python -m pip install mako")
print("either now or after the installation completes to fix this.")
print("")
print("[1] http://www.makotemplates.org/")
print(SEPARATOR)
print("Hit Ctrl-C now if you'd like to think about the situation.")
print(SEPARATOR)
from aksetup_helper import count_down_delay
count_down_delay(delay=5)
if not exists("pyopencl/compyte/dtypes.py"):
print(75 * "-")
print("You are missing important files from the pyopencl distribution.")
print(75 * "-")
print("You may have downloaded a zip or tar file from Github.")
print("Those do not work, and I am unable to prevent Github from showing")
print("them. Delete that file, and get an actual release file from the")
print("Python package index:")
print()
print("https://pypi.python.org/pypi/pyopencl")
sys.exit(1)
setup(name="pyopencl",
# metadata
version=ver_dic["VERSION_TEXT"],
description="Python wrapper for OpenCL",
long_description=open("README.rst", "rt").read(),
author="Andreas Kloeckner",
author_email="*****@*****.**",
license="MIT",
url="http://mathema.tician.de/software/pyopencl",
classifiers=[
'Environment :: Console',
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: C++',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
],
# build info
packages=find_packages(),
ext_modules=[
NumpyExtension("pyopencl._cl",
[
"src/wrap_constants.cpp",
"src/wrap_cl.cpp",
"src/wrap_cl_part_1.cpp",
"src/wrap_cl_part_2.cpp",
"src/wrap_mempool.cpp",
"src/bitlog.cpp",
],
include_dirs=INCLUDE_DIRS + [
get_pybind_include(),
get_pybind_include(user=True)
],
library_dirs=conf["CL_LIB_DIR"],
libraries=conf["CL_LIBNAME"],
define_macros=list(conf["EXTRA_DEFINES"].items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
language='c++',
),
],
setup_requires=[
"pybind11",
"numpy",
],
install_requires=[
"numpy",
"pytools>=2017.6",
"decorator>=3.2.0",
"appdirs>=1.4.0",
"six>=1.9.0",
# "Mako>=0.3.6",
],
include_package_data=True,
package_data={
"pyopencl": [
"cl/*.cl",
"cl/*.h",
"cl/pyopencl-random123/*.cl",
"cl/pyopencl-random123/*.h",
]
},
cmdclass={'build_ext': BuildExt},
zip_safe=False)
def main():
from aksetup_helper import hack_distutils, setup, NumpyExtension
hack_distutils()
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
# INCLUDE_DIRS = ['../pyublas/pyublas/include']
# INCLUDE_DIRS = ["/usr/local/lib/python2.7/dist-packages/PyUblas-2013.1-py2.7-linux-i686.egg/pyublas/include"]
INCLUDE_DIRS = [os.path.join(os.environ.get("HOME"), "pool", "include")]
LIBRARY_DIRS = []
LIBRARY_DIRS = [os.path.join(os.environ.get("HOME"), "pool", "lib")]
# LIBRARIES = ['boost_python-py27']
LIBRARIES = ['boost_python3']
EXTRA_DEFINES = {}
conf = {}
conf["CXXFLAGS"] = ['-Wno-sign-compare']
conf["LDFLAGS"] = []
setup(
name="MSD_PYUBLAS",
version="1.0",
description="Mass-Spring-Damper Simulation",
author="Roger Stuckey",
author_email="*****@*****.**",
license="BSD",
url="http://rogerstuckey.com/",
# numpy is often under the setuptools radar.
#setup_requires=[
#"numpy>=1.0.4",
#],
# install_requires=[
#"numpy>=1.0.4",
# "pytest>=2",
# ],
# packages=["pyublas"],
# ext_package="pyublas",
ext_modules=[
# NumpyExtension(
# "_internal",
# ext_src,
# include_dirs=INCLUDE_DIRS,
# library_dirs=LIBRARY_DIRS,
# libraries=LIBRARIES,
# define_macros=list(EXTRA_DEFINES.items()),
# extra_compile_args=conf["CXXFLAGS"],
# extra_link_args=conf["LDFLAGS"],
# ),
NumpyExtension(
"msd.msdux",
["msdux.cpp"],
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS,
libraries=LIBRARIES,
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
)
],
# include_package_data=True,
# package_data={
# "pyublas": [
# "include/pyublas/*.hpp",
# ]
# },
zip_safe=False,
# 2to3 invocation
cmdclass={'build_py': build_py})
def get_additional_include_dirs(self):
return (NumpyExtension.get_additional_include_dirs(self) +
[self.get_module_include_path("pyublas")])
def main():
import glob
from aksetup_helper import (hack_distutils, get_config, setup,
NumpyExtension,
set_up_shipped_boost_if_requested,
check_git_submodules)
check_git_submodules()
hack_distutils()
conf = get_config(get_config_schema(), warn_about_no_config=False)
EXTRA_OBJECTS, EXTRA_DEFINES = set_up_shipped_boost_if_requested(
"pyopencl", conf)
LIBRARY_DIRS = conf["BOOST_LIB_DIR"]
LIBRARIES = conf["BOOST_PYTHON_LIBNAME"]
EXTRA_INCLUDE_DIRS = []
EXTRA_DEFINES["PYGPU_PACKAGE"] = "pyopencl"
EXTRA_DEFINES["PYGPU_PYOPENCL"] = "1"
if conf["CL_TRACE"]:
EXTRA_DEFINES["PYOPENCL_TRACE"] = 1
INCLUDE_DIRS = conf["BOOST_INC_DIR"] + conf["CL_INC_DIR"]
if conf["CL_ENABLE_GL"]:
EXTRA_DEFINES["HAVE_GL"] = 1
if conf["CL_ENABLE_DEVICE_FISSION"]:
EXTRA_DEFINES["PYOPENCL_USE_DEVICE_FISSION"] = 1
if conf["CL_PRETEND_VERSION"]:
try:
major, minor = [
int(x) for x in conf["CL_PRETEND_VERSION"].split(".")
]
EXTRA_DEFINES[
"PYOPENCL_PRETEND_CL_VERSION"] = 0x1000 * major + 0x10 * minor
except:
print(
"CL_PRETEND_VERSION must be of the form M.N, with two integers M and N"
)
raise
ver_dic = {}
version_file = open("pyopencl/version.py")
try:
version_file_contents = version_file.read()
finally:
version_file.close()
exec(compile(version_file_contents, "pyopencl/version.py", 'exec'),
ver_dic)
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
try:
import mako
except ImportError:
print(
"-------------------------------------------------------------------------"
)
print("Mako is not installed.")
print(
"-------------------------------------------------------------------------"
)
print(
"That is not a problem, as most of PyOpenCL will be just fine without it."
)
print(
"Some higher-level parts of pyopencl (such as pyopencl.reduction)")
print(
"will not function without the templating engine Mako [1] being installed."
)
print(
"If you would like this functionality to work, you might want to install"
)
print("Mako after you finish installing PyOpenCL.")
print("")
print("[1] http://www.makotemplates.org/")
print(
"-------------------------------------------------------------------------"
)
print("Hit Ctrl-C now if you'd like to think about the situation.")
print(
"-------------------------------------------------------------------------"
)
from aksetup_helper import count_down_delay
count_down_delay(delay=5)
might_be_cuda = False
for inc_dir in conf["CL_INC_DIR"]:
inc_dir = inc_dir.lower()
if "nv" in inc_dir or "cuda" in inc_dir:
might_be_cuda = True
if might_be_cuda and conf["CL_ENABLE_DEVICE_FISSION"]:
print(
"-------------------------------------------------------------------------"
)
print(
"You might be compiling against Nvidia CUDA with device fission enabled."
)
print(
"-------------------------------------------------------------------------"
)
print(
"That is not a problem on CUDA 4.0 and newer. If you are using CUDA 3.2,"
)
print(
"your build will break, because Nvidia shipped a broken CL header in"
)
print(
"in your version. The fix is to set CL_ENABLE_DEVICE_FISSION to False"
)
print("in your PyOpenCL configuration.")
print(
"-------------------------------------------------------------------------"
)
print("Hit Ctrl-C now if you'd like to think about the situation.")
print(
"-------------------------------------------------------------------------"
)
from aksetup_helper import count_down_delay
count_down_delay(delay=5)
import sys
if sys.version_info >= (3, ):
pvt_struct_source = "src/wrapper/_pvt_struct_v3.cpp"
else:
pvt_struct_source = "src/wrapper/_pvt_struct_v2.cpp"
setup(
name="pyopencl",
# metadata
version=ver_dic["VERSION_TEXT"],
description="Python wrapper for OpenCL",
long_description="""
PyOpenCL lets you access GPUs and other massively parallel compute
devices from Python. It tries to offer computing goodness in the
spirit of its sister project `PyCUDA <http://mathema.tician.de/software/pycuda>`_:
* Object cleanup tied to lifetime of objects. This idiom, often
called
`RAII <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
in C++, makes it much easier to write correct, leak- and
crash-free code.
* Completeness. PyOpenCL puts the full power of OpenCL's API at
your disposal, if you wish. Every obscure `get_info()` query and
all CL calls are accessible.
* Automatic Error Checking. All CL errors are automatically
translated into Python exceptions.
* Speed. PyOpenCL's base layer is written in C++, so all the niceties
above are virtually free.
* Helpful and complete `Documentation <http://documen.tician.de/pyopencl>`_
as well as a `Wiki <http://wiki.tiker.net/PyOpenCL>`_.
* Liberal license. PyOpenCL is open-source under the
`MIT license <http://en.wikipedia.org/wiki/MIT_License>`_
and free for commercial, academic, and private use.
* Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's
CL implementations.
Like PyOpenCL? (And perhaps use it for `bitcoin
<http://bitcoin.org>`_ mining?) Leave a (bitcoin) tip:
1HGPQitv27CdENBcH1bstu5B3zeqXRDwtY
""",
author="Andreas Kloeckner",
author_email="*****@*****.**",
license="MIT",
url="http://mathema.tician.de/software/pyopencl",
classifiers=[
'Environment :: Console',
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: C++',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Physics',
],
# build info
packages=["pyopencl", "pyopencl.characterize", "pyopencl.compyte"],
install_requires=[
"pytools>=2011.2",
"pytest>=2",
"decorator>=3.2.0",
# "Mako>=0.3.6",
],
ext_package="pyopencl",
ext_modules=[
NumpyExtension(
"_cl",
[
"src/wrapper/wrap_cl.cpp",
"src/wrapper/wrap_cl_part_1.cpp",
"src/wrapper/wrap_cl_part_2.cpp",
"src/wrapper/wrap_constants.cpp",
"src/wrapper/wrap_mempool.cpp",
"src/wrapper/bitlog.cpp",
] + EXTRA_OBJECTS,
include_dirs=INCLUDE_DIRS + EXTRA_INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS + conf["CL_LIB_DIR"],
libraries=LIBRARIES + conf["CL_LIBNAME"],
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
NumpyExtension(
"_pvt_struct",
[pvt_struct_source],
extra_compile_args=conf["CXXFLAGS"],
extra_link_args=conf["LDFLAGS"],
),
],
data_files=[("include/pyopencl",
glob.glob("src/cl/*.cl") + glob.glob("src/cl/*.h"))],
# 2to3 invocation
cmdclass={'build_py': build_py})
def main():
from aksetup_helper import hack_distutils, get_config, setup, NumpyExtension
from setuptools import find_packages
hack_distutils()
conf = get_config(get_config_schema())
INCLUDE_DIRS = ['C++/myrrh'] + conf['BOOST_INC_DIR']
LIBRARY_DIRS = conf['BOOST_LIB_DIR']
LIBRARIES = conf['BOOST_PYTHON_LIBNAME']
EXTRA_DEFINES = {}
try:
from distutils.command.build_py import build_py_2to3 as build_py
except ImportError:
# 2.x
from distutils.command.build_py import build_py
#
# C++ extension
#
cNetwork = NumpyExtension(
'pybool.cNetwork',
[
'C++/module_network.cpp',
'C++/myrrh/src/python/multi_array_to_numpy.cpp',
],
include_dirs=INCLUDE_DIRS,
library_dirs=LIBRARY_DIRS,
libraries=LIBRARIES,
define_macros=list(EXTRA_DEFINES.items()),
extra_compile_args=conf['CXXFLAGS'],
extra_link_args=conf['LDFLAGS'],
)
#
# Main setup
#
setup(
name='pybool',
version=read('python', 'pybool', 'VERSION').strip().split('-')[0],
description='pybool: A package to infer Boolean networks.',
long_description=read('python', 'pybool', 'README'),
author='John Reid',
author_email='*****@*****.**',
license='BSD',
url=
'http://sysbio.mrc-bsu.cam.ac.uk/johns/pybool/docs/build/html/index.html',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Operating System :: MacOS :: MacOS X',
'Operating System :: POSIX',
'Operating System :: Microsoft :: Windows',
'Programming Language :: Python',
'Programming Language :: C++',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Topic :: Utilities',
],
packages=find_packages(where='python'),
package_dir={'': 'python'},
py_modules=['pybool.examples.tutorial'],
package_data={'pybool': ['README', 'LICENSE', 'VERSION']},
install_requires=[
'cookbook>=2.2',
'numpy>=1.6.1',
'matplotlib>=1.1.1',
'networkx>=1.6',
'pygraphviz>=1.1',
],
scripts=['python/scripts/pybool-find-consistent'],
ext_modules=[cNetwork],
# 2to3 invocation
cmdclass={'build_py': build_py},
include_package_data=False,
)
