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What happens if I push all of nixpkgs
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1.6 kB · 88 lines
Nix
at llvm-cleanup
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889{ lib, buildPythonPackage, pythonOlder, fetchFromGitHub, setuptools, wheel, google-cloud-storage, gymnasium, h5py, numpy, packaging, portion, rich, tqdm, typer, typing-extensions, imageio, nbmake, pytest, pytest-markdown-docs, pytestCheckHook,}:
buildPythonPackage rec { pname = "minari"; version = "0.4.3"; pyproject = true;
disabled = pythonOlder "3.8";
src = fetchFromGitHub { owner = "Farama-Foundation"; repo = "Minari"; rev = "refs/tags/v${version}"; hash = "sha256-DwuANo0PCb2pPTVST8EwuJHe5HKRV8JIpFBpSqoJNh8="; };
build-system = [ setuptools wheel ];
dependencies = [ google-cloud-storage gymnasium h5py numpy packaging portion rich tqdm typer typing-extensions ];
passthru.optional-dependencies = { testing = [ # gymnasium-robotics imageio nbmake pytest pytest-markdown-docs ]; };
pythonImportsCheck = [ "minari" ];
nativeCheckInputs = [ pytestCheckHook ];
disabledTestPaths = [ # Require internet access "tests/dataset/test_dataset_download.py" "tests/test_cli.py" ];
meta = with lib; { description = "A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities"; homepage = "https://github.com/Farama-Foundation/Minari"; changelog = "https://github.com/Farama-Foundation/Minari/releases/tag/v${version}"; license = with licenses; [ asl20 mit ]; maintainers = with maintainers; [ GaetanLepage ]; mainProgram = "minari"; };}