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pyproject.toml
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49 lines (45 loc) · 1.05 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "learned-qd"
version = "0.1.0"
dependencies = [
"numpy",
"jax[cuda]",
"flax",
"optax",
"evosax",
"qdax",
"scikit-learn",
"keras",
"brax",
"gymnax",
"hydra-core",
"wandb",
"mediapy",
"ipykernel",
"ipywidgets",
"ruff",
"mypy"
]
requires-python = ">=3.13"
authors = [{name = "Maxence Faldor", email = "maxencefaldor@gmail.com"}]
description = "Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization"
readme = "README.md"
license = "MIT"
keywords = ["Quality-Diversity", "Open-endedness", "Meta-Learning"]
[tool.ruff]
src = ["src", "tests"]
target-version = "py312"
line-length = 100
[tool.ruff.lint]
select = ["E", "F", "I", "N", "SIM", "UP", "W"]
ignore = [
"W191", # Indentation contains tabs
"N801", # Argument name should be lowercase
"N803", # Argument name should be lowercase
"N806", # Variable in function should be lowercase
]
[tool.ruff.format]
indent-style = "tab"