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pyproject.toml
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78 lines (71 loc) · 1.77 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "wheelbot-dataset"
version = "0.1.2"
description = "The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning"
readme = "README.md"
requires-python = ">=3.11"
license = "MIT"
authors = [
{name = "Henrik Hose", email = "henrik.hose@rwth-aachen.de"},
{name = "Paul Brunzema", email = "brunzema@dsme.rwth-aachen.de"},
]
maintainers = [
{name = "Henrik Hose", email = "henrik.hose@rwth-aachen.de"},
]
keywords = [
"robotics",
"dataset",
"wheelbot",
"self-balancing",
"machine-learning",
"dynamics",
"control",
"motion-capture",
"imu",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Operating System :: OS Independent",
]
dependencies = [
"numpy",
"pandas",
"matplotlib",
"paramiko",
"fire",
"requests",
]
[project.optional-dependencies]
dev = [
"pytest",
"scipy",
]
all = [
"scipy",
"jax",
"jaxlib",
"equinox",
"optax",
]
[project.scripts]
wheelbot-record = "wheelbot_dataset.__main__:main"
[project.urls]
Homepage = "https://github.com/wheelbot/dataset"
Repository = "https://github.com/wheelbot/dataset"
[tool.setuptools.packages.find]
where = ["."]
include = ["wheelbot_dataset*"]
[tool.setuptools.package-data]
"*" = ["*.json"]