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#!/usr/bin/env python
# WebGym Visual MiniWoB environment registration script
# TensorFlow 2 Reinforcement Learning Cookbook | Praveen Palanisamy
from setuptools import setup, find_packages
import pathlib
parent_dir = pathlib.Path(__file__).parent.resolve()
# Get the long description from the README file
long_description = (parent_dir / "README.md").read_text(encoding="utf-8")
setup(
name="webgym", # Required
version="1.0.6", # Required
description="Reinforcement Learning Environments for 50+ web-based tasks", # Optional
long_description=long_description, # Optional
long_description_content_type="text/markdown", # Optional (see note above)
url="https://github.com/praveen-palanisamy/webgym", # Optional
author="Praveen Palanisamy", # Optional
author_email="praveen.palanisamy@outlook.com",
classifiers=[ # Optional
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3 :: Only",
],
keywords="webgym, rl web tasks, rl in browser, Gym environments", # Optional
package_dir={"": "src"}, # Optional
packages=find_packages(where="src"), # Required
include_package_data=True,
python_requires=">=3.6, <4",
install_requires=["gym"],
project_urls={ # Optional
"Source": "https://github.com/praveen-palanisamy/Tensorflow-2-Reinforcement-Learning-Cookbook",
"Author website": "https://praveenp.com",
},
)