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setup.py
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import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="jarvis_leaderboard", # Replace with your own username
version="2024.11.30",
author="Kamal Choudhary",
author_email="[email protected]",
description="jarvis_leaderboard",
install_requires=[
"numpy>=1.19.5",
"scipy>=1.6.3",
"jarvis-tools>=2021.07.19",
"scikit-learn>=0.24.1",
"pandas>=1.2.4",
"rouge>=1.0.1",
"pydantic>=2.3.0",
"markdown>=3.2.1",
"plotly",
"absl-py==1.4.0",
"nltk==3.8.1",
# "mkdocs>=1.5.2",
# "mkdocs-material>=9.0.5",
],
scripts=[
"jarvis_leaderboard/jarvis_populate_data.py",
"jarvis_leaderboard/jarvis_upload.py",
"jarvis_leaderboard/jarvis_serve.py",
"jarvis_leaderboard/rebuild.py",
],
package_data={
"jarvis_leaderboard": [
"benchmarks/benchmark_dois.json",
"benchmarks/descriptions.csv",
"benchmarks/ES/*/*.json.zip",
"benchmarks/EXP/*/*.json.zip",
"benchmarks/FF/*/*.json.zip",
"benchmarks/QC/*/*.json.zip",
"benchmarks/AI/SinglePropertyPrediction/*.json.zip",
"benchmarks/AI/SinglePropertyClass/*.json.zip",
"benchmarks/AI/ImageClass/*.json.zip",
"benchmarks/AI/Spectra/*.json.zip",
"benchmarks/AI/TextGen/*.json.zip",
"benchmarks/AI/TextClass/*.json.zip",
"benchmarks/AI/TextSummary/*.json.zip",
"benchmarks/AI/TokenClass/*.json.zip",
]
},
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/knc6/jarvis_leaderboard",
packages=setuptools.find_packages(), # exclude=["*forces.json.zip","*csv.zip","*.md","*ipynb"]),
# packages=setuptools.find_packages(exclude=["*/AI/MLFF/*","jarvis_leaderboard/contributions/*/*csv.zip","*.md"]),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires=">=3.8",
)