mjlab/pyproject.toml at main · ThelilinNB/mjlab · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
[build-system]
requires = ["uv_build>=0.8.19,<0.9.0"]
build-backend = "uv_build"

[project]
name = "mjlab"
version = "0.1.0"
license = "Apache-2.0"
license-files = ["LICENSE", "src/mjlab/third_party/isaaclab/LICENSE"]
readme = { file = "README.md", content-type = "text/markdown" }
authors = [
    {name = "The MjLab Developers"},
]
keywords = ["mujoco",  "mujoco-warp", "simulation", "reinforcement-learning", "robotics"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3 :: Only",
    "Typing :: Typed",
    "Environment :: GPU :: NVIDIA CUDA",
    "Topic :: Scientific/Engineering",
    "Natural Language :: English",
]
description = "Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research."
requires-python = ">=3.10,<3.14"
dependencies = [
    "prettytable",
    "tqdm",
    "tyro>=0.10.0a6",
    "torch>=2.7.0",
    "torchrunx>=0.3.4",
    "warp-lang",
    "mujoco-warp",
    "mujoco<=3.3.8",
    "trimesh>=4.8.3",
    "viser>=1.0.16",
    "moviepy",
    "tensordict",
    "rsl-rl-lib",
    "tensorboard>=2.20.0",
    "onnxscript>=0.5.4",
    "wandb>=0.22.3",
]

[project.urls]
  "Bug Reports" = "https://github.com/mujocolab/mjlab/issues"
  "Source" = "https://github.com/mujocolab/mjlab"

[project.scripts]
train = "mjlab.scripts.train:main"
play = "mjlab.scripts.play:main"
demo = "mjlab.scripts.demo:main"
list_envs = "mjlab.scripts.list_envs:main"
viz-nan = "mjlab.scripts.nan_viz:main"

[dependency-groups]
dev = [
  "ipdb>=0.13.13",
  "pre-commit>=4.3.0",
  "pyright>=1.1.407",
  "pytest>=8.4.2",
  "ruff>=0.14.3",
  "ty>=0.0.1a23",
]

[project.optional-dependencies]
cu128 = ["torch>=2.7.0"]

[tool.uv]
required-environments = [
  "sys_platform == 'darwin' and platform_machine == 'arm64'",
  "sys_platform == 'linux' and platform_machine == 'x86_64'",
]

[[tool.uv.index]]
url = "https://pypi.org/simple"

[[tool.uv.index]]
name = "nvidia"
url = "https://pypi.nvidia.com/"
explicit = true

[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[[tool.uv.index]]
name = "mujoco"
url = "https://py.mujoco.org"
explicit = true

[tool.uv.sources]
mujoco-warp = { git = "https://github.com/google-deepmind/mujoco_warp", rev = "e605c406363805d949b75d50dd5ffb3d79bc3f70"}
warp-lang = { index = "nvidia", marker = "sys_platform != 'darwin'" }
mujoco = { index = "mujoco" }
torch = { index = "pytorch-cu128", extra = "cu128", marker = "sys_platform != 'darwin'" }

[tool.ruff]
src = ["src"]  # Helpful for recognizing first-party imports.
indent-width = 2
exclude = [
  "src/mjlab/third_party",
  "typings",
]

[tool.ruff.lint]
select = ["E4", "E7", "E9", "F", "I", "B"]
ignore = ["B011"]

[tool.pyright]
pythonVersion = "3.10"
ignore = ["./typings", "./src/mjlab/third_party"]
stubPath = "typings"

[tool.ty.environment]
extra-paths = ["typings"]

[tool.ty.src]
include = ["src", "tests"]
exclude = ["src/mjlab/third_party", "typings"]

[tool.pytest.ini_options]
markers = [
  "slow: marks tests as slow (deselect with '-m \"not slow\"')",
]
addopts = "--strict-markers"