vla / pyproject.toml
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Initial commit: DoVLA-CIL codebase (h=16 breakthrough)
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[build-system]
requires = ["hatchling>=1.21"]
build-backend = "hatchling.build"
[project]
name = "dovla-cil"
version = "0.1.0"
description = "Interventional VLA pretraining from Counterfactual Intervention Lattices."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [{ name = "DoVLA-CIL Contributors" }]
dependencies = [
"pydantic>=2.0",
"pyyaml>=6.0",
"numpy>=1.23",
"torch>=2.0",
"tqdm>=4.65",
"rich>=13.0",
"pytest>=7.4",
"httpx>=0.24",
"openai>=1.0",
"pandas>=2.0",
"matplotlib>=3.7",
]
[project.optional-dependencies]
dev = [
"pytest>=7.4",
"ruff>=0.6",
"mypy>=1.8",
]
webdataset = ["webdataset>=0.2"]
parquet = ["pyarrow>=12.0"]
wandb = ["wandb>=0.16"]
ray = ["ray>=2.8"]
visual = ["h5py>=3.8", "pillow>=10.0"]
vlm = ["transformers>=4.46,<6", "h5py>=3.8", "pillow>=10.0"]
maniskill = ["mani_skill==3.0.1", "h5py>=3.8", "pillow>=10.0"]
all = [
"pyarrow>=12.0",
"webdataset>=0.2",
"wandb>=0.16",
"ray>=2.8",
"h5py>=3.8",
"pillow>=10.0",
"transformers>=4.46,<6",
]
[tool.hatch.build.targets.wheel]
packages = ["dovla_cil"]
[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["."]
[tool.ruff]
line-length = 110
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B"]
[tool.ruff.lint.per-file-ignores]
"scripts/*.py" = ["E402"]
"tests/test_dovla_model.py" = ["E402"]
"tests/test_openvla_adapter.py" = ["E402"]
[tool.mypy]
python_version = "3.10"
strict = false
warn_unused_ignores = true
warn_redundant_casts = true