| import io | |
| import os | |
| import re | |
| from os import path | |
| from setuptools import find_packages | |
| from setuptools import setup | |
| this_directory = path.abspath(path.dirname(__file__)) | |
| with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f: | |
| long_description = f.read() | |
| setup( | |
| name="jax_nca", | |
| version="0.1.2", | |
| url="https://github.com/shyamsn97/jax-nca", | |
| license='MIT', | |
| author="Shyam Sudhakaran", | |
| author_email="shyamsnair@protonmail.com", | |
| description="Neural Cellular Automata (https://distill.pub/2020/growing-ca/ -- Mordvintsev, et al., \"Growing Neural Cellular Automata\", Distill, 2020) implemented in JAX", | |
| long_description=long_description, | |
| long_description_content_type="text/markdown", | |
| packages=find_packages(exclude=('tests',)), | |
| install_requires=[ | |
| 'numpy', | |
| 'jax', | |
| 'flax', | |
| 'matplotlib', | |
| 'einops', | |
| 'tensorflow', | |
| 'tensorboardX', | |
| 'optax', | |
| 'tqdm', | |
| 'pandas', | |
| 'pillow', | |
| 'ipycanvas', | |
| 'orjson', | |
| 'opencv-python' | |
| ], | |
| classifiers=[ | |
| 'Development Status :: 2 - Pre-Alpha', | |
| 'License :: OSI Approved :: MIT License', | |
| 'Programming Language :: Python :: 3.9', | |
| ], | |
| ) | |