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use setup.cfg instead of setup.py
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README.md

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We have released a challenging [OpenAI Gym](https://gym.openai.com/) compatible environment. The best strategy for this environment is to have both episodic and semantic memory systems. See the paper for more information.
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This env is added to the PyPI server:
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```sh
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pip install room-env
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```
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## Data collection
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Data is collected from querying ConceptNet APIs. For simplicity, we only collect triples
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1. Push to the Branch (`git push origin feature/AmazingFeature`)
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1. Open a Pull Request
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## Cite our work
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[![DOI](https://zenodo.org/badge/477781069.svg)](https://zenodo.org/badge/latestdoi/477781069)
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## Authors
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- [Taewoon Kim](https://taewoon.kim/)

setup.cfg

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[metadata]
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description-file=README.md
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license_files=LICENSE
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name = room_env
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version = 0.1.2
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author = Taewoon Kim
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author_email = tae898@gmail.com
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description = The Room environment
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long_description = file: README.md
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long_description_content_type = text/markdown
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url = https://github.com/tae898/room-env
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project_urls =
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Bug Tracker = https://github.com/tae898/room-env/issues
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classifiers =
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Programming Language :: Python :: 3
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License :: OSI Approved :: MIT License
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Operating System :: OS Independent
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[options]
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packages = find:
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python_requires = >=3.7
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install_requires=
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gym>="0.23.1"
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numpy>="1.21"
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PyYAML>="6.0"
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requests>="2.27.1"
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tqdm>="4.64.0"
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[options.package_data]
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* = data/*

setup.py

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from setuptools import find_packages, setup
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from setuptools import setup
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setup(
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name="room_env",
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version="0.0.1",
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license="MIT",
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author="Taewoon Kim",
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author_email="tae898@gmail.com",
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packages=find_packages(),
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# packages=find_packages("room_env"),
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# package_dir={"": "room_env"},
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url="https://github.com/tae898/room-env",
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install_requires=[
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"gym>=0.23.1",
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"numpy>=1.22.3",
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"PyYAML>=6.0",
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"requests>=2.27.1",
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"tqdm>=4.64.0",
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],
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package_data={"": ["data/*"]},
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)
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if __name__ == "__main__":
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setup()

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