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[build-system]

requires = ["uv_build>=0.12.1,<0.13"]

build-backend = "uv_build"

# NOTE: the requested distribution name `uni-rl` is unregistrable on PyPI

# (ultranormalized collision with the existing `unirl` project).

# Distribution name is therefore `unilab-rl`; the import namespace stays `uni_rl`.

[project]

name = "unilab-rl"

version = "1.4.15"

description = "Reinforcement learning algorithms and async runtimes extracted from UniLab (APPO/SAC/FlashSAC)"

readme = "README.md"

requires-python = ">=3.10,<3.14"

license = "Apache-2.0"

license-files = ["LICENSE"]

authors = [{ name = "UniLab contributors" }]

keywords = ["reinforcement-learning", "robotics", "gpu-simulation"]

classifiers = [

"Programming Language :: Python :: 3",

"Programming Language :: Python :: 3.10",

"Programming Language :: Python :: 3.11",

"Programming Language :: Python :: 3.12",

"Programming Language :: Python :: 3.13",

]

dependencies = [

"numpy",

"torch>=2.7.0",

"tensordict",

"omegaconf",

"hydra-core",

"rsl-rl-lib>=5.0.0",

"tensorboard",

"wandb>=0.22.3",

"packaging",

"rich",

]

[project.urls]

Repository = "https://github.com/unilabsim/unilab_rl"

[tool.uv.build-backend]

module-name = "uni_rl"

[dependency-groups]

dev = [

"pytest>=8.0",

"pytest-cov",

"ruff",

"mypy",

# Pinned: 1.1.411+ raises false positives against torch 2.8 stubs

# (reportPrivateImportUsage on torch._foreach_*) that UniLab's gate avoids

# by staying on 1.1.408.

"pyright==1.1.408",

]

[tool.ruff]

line-length = 100

target-version = "py310"

src = ["src"]

[tool.ruff.lint]

select = ["E", "F", "I", "N", "W"]

ignore = [

"E501",

"N806",

"E402",

"F401",

"N801",

"F821",

"E741",

"N802",

"N803",

"N812",

]

[tool.mypy]

mypy_path = "src"

explicit_package_bases = true

python_version = "3.10"

warn_return_any = true

warn_unused_configs = true

ignore_missing_imports = true

no_site_packages = true

[tool.pyright]

pythonVersion = "3.10"

venvPath = "."

venv = ".venv"

include = ["src/uni_rl"]

reportMissingImports = "warning"

reportMissingModuleSource = "none"

[tool.pytest.ini_options]

testpaths = ["tests"]

markers = [

"slow: long-running training or smoke tests",

]

addopts = "--tb=short -m 'not slow'"