kimodo/pyproject.toml at main · RydlrCS/kimodo · GitHub

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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "kimodo"
version = "1.0.0"
description = "Kimodo motion generation model"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "Apache-2.0"}
dependencies = [
  "hydra-core>=1.3",
  "omegaconf>=2.3",
  "numpy>=1.23",
  "scipy>=1.10",
  "transformers==5.1.0",
  "urllib3>=2.6.3",
  "boto3",
  "peft>=0.18",
  "einops>=0.7",
  "tqdm>=4.0",
  "packaging>=21.0",
  "pydantic>=2.0",
  "filelock>=3.20.3",
  "gradio>=6.8.0",
  "gradio_client>=1.0",
  "trimesh>=3.21.7",
  "scenepic>=1.1.0",
  "pillow>=9.0",
  "av>=16.1.0",
  "bvhio",
]

[project.optional-dependencies]
demo = [
  "viser @ git+https://github.com/nv-tlabs/kimodo-viser.git",
]
soma = [
  "py-soma-x @ git+https://github.com/NVlabs/SOMA-X.git"
]
all = [
  "viser @ git+https://github.com/nv-tlabs/kimodo-viser.git",
  "py-soma-x @ git+https://github.com/NVlabs/SOMA-X.git"
]

[project.scripts]
kimodo_gen = "kimodo.scripts.generate:main"
kimodo_demo = "kimodo.demo:main"
kimodo_textencoder = "kimodo.scripts.run_text_encoder_server:main"
kimodo_convert = "kimodo.scripts.motion_convert:main"
kimodo_bones_seed = "kimodo.scripts.bones_seed:main"
kimodo_planner = "kimodo.scripts.qwen_planner:main"
kimodo_planner_contract_check = "kimodo.scripts.planner_contract_check:main"
kimodo_planner_baseline_eval = "kimodo.scripts.planner_baseline_eval:main"
kimodo_runtime_health = "kimodo.scripts.runtime_health:main"
kimodo_textencoder_health = "kimodo.scripts.text_encoder_health:main"
kimodo_textencoder_smoke = "kimodo.scripts.text_encoder_smoke:main"
kimodo_space = "kimodo.scripts.space_frontend:main"

[tool.setuptools]
include-package-data = true
zip-safe = false

[tool.setuptools.package-data]
kimodo = ["assets/**/*"]

[tool.flake8]
max-line-length = 120

[tool.ruff]
extend-select = ["I001"]  # Enable import sorting
line-length = 120

[tool.ruff.lint.isort]
known-first-party = ["kimodo"]
known-third-party = ["torch", "numpy", "pytorch_lightning", "wandb", "tqdm"]
force-sort-within-sections = false