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name = "forgeenv"
version = "0.1.0"
description = "Self-improving RL environment for HuggingFace ecosystem repair under library drift"
requires-python = ">=3.10"
authors = [{name = "akhiilll"}]
license = {text = "Apache-2.0"}
readme = "README.md"
keywords = ["openenv", "reinforcement-learning", "self-play", "code-repair", "huggingface"]
dependencies = [
"fastapi>=0.110.0",
"uvicorn>=0.27.0",
"pydantic>=2.6.0",
"pyyaml>=6.0",
"rich>=13.7.0",
"nltk>=3.8.0",
"scikit-learn>=1.4.0",
"numpy>=1.26.0",
]
[project.optional-dependencies]
openenv = [
"openenv-core>=0.2.0",
]
training = [
"torch>=2.1.0",
"transformers>=4.40.0",
"datasets>=2.18.0",
"trl>=0.10.0",
"peft>=0.10.0",
"accelerate>=0.30.0",
"wandb>=0.16.0",
]
unsloth = [
"unsloth>=2024.4",
]
sandbox = [
"docker>=7.0.0",
]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"matplotlib>=3.8.0",
]
[project.urls]
Homepage = "https://huggingface.co/spaces/akhiilll/forgeenv"
Model = "https://huggingface.co/akhiilll/forgeenv-repair-agent"
[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
include = ["forgeenv*"]
exclude = ["tests*", "notebooks*", "artifacts*", "warmstart*", "forgeenv-space*"]
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
addopts = "-v --tb=short"
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