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setup.py 8.87 KB
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BDonnot 提交于 2021-04-09 14:53 . fixing tag version, was wrong
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
import sys
import setuptools
import os
import warnings
__version__ = "0.5.1"
KLU_SOLVER_AVAILABLE = False
# courtesy to
# https://github.com/pybind/python_example/blob/master/setup.py
class get_pybind_include(object):
"""Helper class to determine the pybind11 include path
The purpose of this class is to postpone importing pybind11
until it is actually installed, so that the ``get_include()``
method can be invoked.
@author: Sylvain Corlay
"""
def __init__(self, user=False):
self.user = user
def __str__(self):
import pybind11
return pybind11.get_include(self.user)
# As of Python 3.6, CCompiler has a `has_flag` method.
# cf http://bugs.python.org/issue26689
def has_flag(compiler, flagname):
"""Return a boolean indicating whether a flag name is supported on
the specified compiler.
@author: Sylvain Corlay
"""
import tempfile
with tempfile.NamedTemporaryFile('w', suffix='.cpp') as f:
f.write('int main (int argc, char **argv) { return 0; }')
try:
compiler.compile([f.name], extra_postargs=[flagname])
except setuptools.distutils.errors.CompileError:
return False
return True
def cpp_flag(compiler):
"""Return the -std=c++[11/14/17] compiler flag.
The newer version is preferred over c++11 (when it is available).
@author: Sylvain Corlay
"""
flags = ['-std=c++17', '-std=c++14', '-std=c++11']
for flag in flags:
if has_flag(compiler, flag):
return flag
raise RuntimeError('Unsupported compiler -- at least C++11 support '
'is needed!')
class BuildExt(build_ext):
"""
A custom build extension for adding compiler-specific options.
@author: Sylvain Corlay
"""
c_opts = {
'msvc': ['/EHsc'],
'unix': [],
}
l_opts = {
'msvc': [],
'unix': [],
}
if sys.platform == 'darwin':
darwin_opts = ['-stdlib=libc++', '-mmacosx-version-min=10.7']
c_opts['unix'] += darwin_opts
l_opts['unix'] += darwin_opts
def build_extensions(self):
ct = self.compiler.compiler_type
# for debug option
if hasattr(self.compiler, "compiler"):
print()
print("Compiler options used:")
print(self.compiler.compiler)
print()
opts = self.c_opts.get(ct, [])
link_opts = self.l_opts.get(ct, [])
if ct == 'unix':
opts.append("-DVERSION_INFO=\"%s\"" % self.distribution.get_version())
opts.append(cpp_flag(self.compiler))
if has_flag(self.compiler, '-fvisibility=hidden'):
opts.append('-fvisibility=hidden')
elif ct == 'msvc':
opts.append('/DVERSION_INFO=\\"%s\\"' % self.distribution.get_version())
for ext in self.extensions:
ext.extra_compile_args += opts
ext.extra_link_args += link_opts
build_ext.build_extensions(self)
# Try to link against SuiteSparse (if available)
# check that they exist
suitesparse_path = os.path.abspath("./SuiteSparse")
eigen_path = os.path.abspath(".")
LIBS = ["{}/KLU/Lib/libklu.a",
"{}/BTF/Lib/libbtf.a",
"{}/AMD/Lib/libamd.a",
"{}/COLAMD/Lib/libcolamd.a",
"{}/CXSparse/Lib/libcxsparse.a",
"{}/SuiteSparse_config/libsuitesparseconfig.a"
]
LIBS = [el.format(suitesparse_path) for el in LIBS]
exists_libs = True
for el in LIBS:
if not os.path.exists(el):
exists_libs = False
if exists_libs:
# you will be able to use "SuiteSparse" and the faster "KLU" linear solver
KLU_SOLVER_AVAILABLE = True
# include directory
INCLUDE_suitesparse = ["{}/SuiteSparse_config",
"{}/CXSparse/Include",
"{}/AMD/Include",
"{}/BTF/Include",
"{}/COLAMD/Include",
"{}/KLU/Include"
]
INCLUDE_suitesparse = [el.format(suitesparse_path) for el in INCLUDE_suitesparse]
else:
# suitesparse, and in particular the KLU linear solver is not available.
# we'll use a default solver (a bit slower)
LIBS = []
INCLUDE_suitesparse = []
warnings.warn("SuiteSparse is not available on your system, or has not been compiled. The faster "
"\"KLU\" linear algebra solver will not be available. The \"SparseLU\" solver will however "
"be available, which is maybe ~30% slower than \"KLU\". If you are using grid2op there "
"will still be a huge benefit.")
INCLUDE = INCLUDE_suitesparse
INCLUDE.append("{}/eigen".format(eigen_path))
include_dirs = [
# Path to pybind11 headers
get_pybind_include(),
get_pybind_include(user=True)
]
include_dirs += INCLUDE
# compiler options
extra_compile_args_tmp = ["-DNDEBUG"]
if sys.platform.startswith('linux'):
# extra_compile_args_tmp = ["-fext-numeric-literals"]
# -fext-numeric-literals is used for definition of complex number by some version of gcc
extra_compile_args_tmp += []
elif sys.platform.startswith("darwin"):
# extra_compile_args_tmp = ["-fsized-deallocation"]
extra_compile_args_tmp += []
# fix a bug in pybind11
# https://github.com/pybind/pybind11/issues/1604
elif sys.platform.startswith("win32"):
extra_compile_args_tmp += ["-D_USE_MATH_DEFINES"]
# otherwise windows compiler does not import "M_PI" from the math header
# for even greater speed, you can add the "-march=native" flag. It does not work on all platform, that is
# why we deactivated it by default
# extra_compile_args_tmp += ["-march=native"]
# if you have installed some BLAS or LAPACKE libraries (on ubuntu sudo apt-get install libblas-dev liblapacke-dev)
# you can also trigger their use when using eigen.
# extra_compile_args_tmp += ["-DEIGEN_USE_BLAS", "-DEIGEN_USE_LAPACKE"]
extra_compile_args = extra_compile_args_tmp
src_files = ['src/main.cpp',
"src/SparseLUSolver.cpp",
"src/BaseConstants.cpp",
"src/GridModel.cpp",
"src/DataConverter.cpp",
"src/DataLine.cpp",
"src/DataGeneric.cpp",
"src/DataShunt.cpp",
"src/DataTrafo.cpp",
"src/DataLoad.cpp",
"src/DataGen.cpp",
"src/DataSGen.cpp",
"src/BaseNRSolver.cpp",
"src/ChooseSolver.cpp",
"src/GaussSeidelSolver.cpp",
"src/GaussSeidelSynchSolver.cpp",
"src/BaseSolver.cpp",
"src/DCSolver.cpp"]
if KLU_SOLVER_AVAILABLE:
src_files.append("src/KLUSolver.cpp")
extra_compile_args_tmp.append("-DKLU_SOLVER_AVAILABLE")
ext_modules = [
Extension(
'lightsim2grid_cpp',
src_files,
include_dirs=include_dirs,
language='c++',
extra_objects=LIBS,
extra_compile_args=extra_compile_args
)
]
pkgs = {
"required": [
'pybind11>=2.4',
"pandapower",
"numpy",
"scipy",
"grid2op"
],
"extras": {
"docs": [
"numpydoc>=0.9.2",
"sphinx>=2.4.4",
"sphinx-rtd-theme>=0.4.3",
"sphinxcontrib-trio>=1.1.0",
"autodocsumm>=0.1.13",
# "m2r"
"recommonmark",
],
"benchmark": [
"tabulate"
],
"recommended": [
"grid2op>=1.5.0"
],
"test": [
"grid2op>=1.5.0"
]
}
}
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(name='LightSim2Grid',
version=__version__,
author='Benjamin Donnot',
author_email='benjamin.donnot@rte-france.com',
url='https://github.com/BDonnot/lightsim2grid/',
description='LightSim2Grid implements a c++ backend targeting the Grid2Op platform.',
long_description=long_description,
long_description_content_type='text/markdown',
ext_modules=ext_modules,
install_requires=pkgs["required"],
extras_require=pkgs["extras"],
setup_requires=['pybind11>=2.4'],
cmdclass={'build_ext': BuildExt},
zip_safe=False,
packages=setuptools.find_packages(),
keywords='pandapower powergrid simulator KLU Eigen c++',
classifiers=[
'Development Status :: 4 - Beta',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
"License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Natural Language :: English"
]
)
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