pyproject.toml

[build-system]
requires = ["setuptools>=40.8.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "stap"
version = "0.0.1"
authors = [
  { name = "Christopher Agia", email = "cagia@cs.stanford.edu" },
  { name = "Toki Migimatsu", email = "takatoki@cs.stanford.edu" }
]
description = "Learning compositional policies for long-horizon planning."
license = { file = "LICENSE" }
readme = "README.md"
requires-python = ">=3.8"
classifiers = [
  "Programming Language :: Python :: 3",
  "License :: OSI Approved :: MIT License",
  "Operating System :: OS Independent",
]
dependencies = [
  # Computing
  "numpy",
  "scipy",
  "torch>=1.11",
  # Image processing
  "imageio",
  "pillow",
  "scikit-image",
  # IO
  "pyyaml",
  "tensorboard",
  "tqdm",
  # Env
  "box2d-py",
  "gym>=0.25",
  "pybullet",
  # Ours
  "ctrlutils==1.4.1",
  "pysymbolic @ git+https://github.com/kevin-thankyou-lin/symbolic",
  "spatialdyn==1.4.4",
]

[tool.setuptools.packages.find]
include = ["stap*"]

[[tool.mypy.overrides]]
module = [
  "Box2D",
  "ctrlutils",
  "matplotlib.*",
  "pandas",
  "PIL",
  "pybullet",
  "redis.*",
  "scipy.*",
  "scod_regression",
  "seaborn",
  "skimage",
  "shapely.*",
  "spatialdyn",
  "symbolic",
  "tqdm"
]
ignore_missing_imports = true