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setup.py
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62 lines (58 loc) · 1.88 KB
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from setuptools import find_packages, setup
def readme():
with open("README.md") as f:
return f.read()
setup(
name="larq-zoo",
version="2.3.3",
author="Plumerai",
author_email="opensource@plumerai.com",
description="Reference implementations of popular Binarized Neural Networks",
long_description=readme(),
long_description_content_type="text/markdown",
url="https://github.com/plumerai/larq-zoo",
packages=find_packages(),
license="Apache 2.0",
install_requires=[
"numpy>=1.15.0",
"packaging>=19",
"larq>=0.9.2,<0.13.2",
"zookeeper>=1.0.0",
"typeguard<3.0.0",
"protobuf<3.21",
],
extras_require={
"tensorflow": ["tensorflow>=2.8.4"],
"tensorflow_gpu": ["tensorflow-gpu>=2.8.4"],
"test": [
"dill==0.4.1",
"pytype==2024.10.11",
"ruff==0.11.4",
"pytest==9.0.2",
"pytest-cov==7.1.0",
"pytest-mock==3.15.1",
"pytest-xdist==3.8.0",
"Pillow==12.2.0",
"tensorflow_datasets>=3.1.0",
],
},
entry_points="""
[console_scripts]
lqz=larq_zoo.training.main:cli
""",
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
],
)