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setup.py
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setup.py
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import io
import os
import re
import setuptools
here = os.path.realpath(os.path.dirname(__file__))
name = 'torchcde'
# for simplicity we actually store the version in the __version__ attribute in the source
with io.open(os.path.join(here, name, '__init__.py')) as f:
meta_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", f.read(), re.M)
if meta_match:
version = meta_match.group(1)
else:
raise RuntimeError("Unable to find __version__ string.")
author = 'Patrick Kidger'
author_email = '[email protected]'
description = "Differentiable controlled differential equation solvers for PyTorch with GPU support and " \
"memory-efficient adjoint backpropagation."
with io.open(os.path.join(here, 'README.md'), 'r', encoding='utf-8') as f:
readme = f.read()
url = "https://github.com/patrick-kidger/torchcde"
license = "Apache-2.0"
classifiers = ["Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Financial and Insurance Industry",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Natural Language :: English",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: Unix",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: Implementation :: CPython",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Mathematics"]
python_requires = "~=3.6"
install_requires = ['torch>=1.7.0', 'torchdiffeq>=0.2.0', 'torchsde>=0.2.5']
setuptools.setup(name=name,
version=version,
author=author,
author_email=author_email,
maintainer=author,
maintainer_email=author_email,
description=description,
long_description=readme,
long_description_content_type="text/markdown",
url=url,
license=license,
classifiers=classifiers,
zip_safe=False,
python_requires=python_requires,
install_requires=install_requires,
packages=[name])