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{
lib,
buildPythonPackage,
fetchFromGitHub,
gym,
gym-notices,
gymnasium,
matplotlib,
moviepy,
numpy,
opencv4,
pyglet,
pytestCheckHook,
pythonOlder,
pyyaml,
setuptools,
shimmy,
six,
torch,
tqdm,
}:
buildPythonPackage rec {
pname = "vmas";
version = "1.5.2";
pyproject = true;
# dependency "gym" broken
disabled = pythonOlder "3.12";
src = fetchFromGitHub {
owner = "proroklab";
repo = "VectorizedMultiAgentSimulator";
tag = version;
hash = "sha256-i1dr65IPIOGAH/1jXS7+PnxJzl986+fGB7M4ydisIrs=";
};
build-system = [ setuptools ];
dependencies = [
gym
gym-notices
numpy
pyglet
six
torch
];
optional-dependencies = {
gymnasium = [
gymnasium
shimmy
];
render = [
matplotlib
moviepy
opencv4
];
};
pythonRelaxDeps = [
"gym-notices"
"pyglet"
];
disabledTests = [
# pyglet.display.xlib.NoSuchDisplayException: Cannot connect to "None"
"test_use_vmas_env"
# Missing python3Packages.cvxpylayers
"test_heuristic"
];
nativeCheckInputs = [
pytestCheckHook
pyyaml
tqdm
]
++ optional-dependencies.gymnasium;
pythonImportsCheck = [ "vmas" ];
meta = {
description = "A vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking";
homepage = "https://github.com/proroklab/VectorizedMultiAgentSimulator";
license = lib.licenses.gpl3Only;
maintainers = with lib.maintainers; [ derdennisop ];
};
}
|
