fathom-code / pyproject.toml
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[project]
name = "fathom"
version = "0.1.0"
description = "FATHOM — First RL-Trained Recursive Language Model"
requires-python = ">=3.11,<3.12"
dependencies = [
"openenv-core[core]>=0.2.3,<0.3",
"fastapi>=0.115,<0.120",
"uvicorn[standard]>=0.32,<1.0",
"pydantic>=2.9,<3.0",
"RestrictedPython>=7.4,<8.0",
"tiktoken>=0.7,<1.0",
"httpx>=0.27,<1.0",
]
[project.optional-dependencies]
train = [
"torch==2.6.0",
"transformers==4.49.0",
"accelerate==1.5.2",
"peft==0.14.0",
"bitsandbytes==0.45.1",
"trl==1.2.0",
"unsloth==2026.4.8",
"unsloth-zoo",
"vllm==0.7.3",
"datasets==3.3.2",
"huggingface_hub>=0.28,<1.0",
"wandb>=0.18,<1.0",
"hydra-core>=1.3,<2.0",
"omegaconf>=2.3,<3.0",
]
viz = [
"streamlit>=1.39,<2.0",
"plotly>=5.24,<6.0",
"matplotlib>=3.9,<4.0",
]
data = [
"anthropic>=0.40,<1.0",
]
dev = [
"pytest>=8.0,<9.0",
"hydra-core>=1.3,<2.0",
"omegaconf>=2.3,<3.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.pytest.ini_options]
markers = [
"slow: marks tests that regenerate data or download models",
"reward_audit: REW-06 automated anti-reward-hacking audits",
]
[tool.hatch.build.targets.wheel]
packages = ["env", "train", "rewards", "data"]