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What happens if I push all of nixpkgs
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3.3 kB · 133 lines
Nix
at master
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# build-system setuptools,
# dependencies cloudpickle, numpy, gym-notices, importlib-metadata, pythonOlder,
# tests moviepy, pybox2d, pygame, pytestCheckHook, opencv-python,}:
buildPythonPackage rec { pname = "gym"; version = "0.26.2"; pyproject = true;
src = fetchFromGitHub { owner = "openai"; repo = "gym"; tag = version; hash = "sha256-uJgm8l1SxIRC5PV6BIH/ht/1ucGT5UaUhkFMdusejgA="; };
# Fix numpy2 compatibility postPatch = '' substituteInPlace gym/envs/classic_control/acrobot.py \ --replace-fail "np.float_" "np.float64"
substituteInPlace gym/utils/passive_env_checker.py \ --replace-fail "np.bool8" "np.bool"
substituteInPlace tests/envs/test_action_dim_check.py \ --replace-fail "np.cast[dtype](OOB_VALUE)" "np.asarray(OOB_VALUE, dtype=dtype)" \ --replace-fail "np.alltrue" "np.all"
substituteInPlace tests/spaces/test_box.py \ --replace-fail "np.bool8" "np.bool" \ --replace-fail "np.complex_" "np.complex128"
substituteInPlace tests/wrappers/test_record_episode_statistics.py \ --replace-fail "np.alltrue" "np.all" '';
build-system = [ setuptools ];
dependencies = [ cloudpickle numpy gym-notices ] ++ lib.optionals (pythonOlder "3.10") [ importlib-metadata ];
pythonImportsCheck = [ "gym" ];
nativeCheckInputs = [ moviepy opencv-python pybox2d pygame pytestCheckHook ];
preCheck = '' export SDL_VIDEODRIVER=dummy '';
disabledTests = [ # TypeError: Converting from sequence to b2Vec2, expected int/float arguments index 0 "test_box_actions_out_of_bound" "test_env_determinism_rollout" "test_envs_pass_env_checker" "test_frame_stack" "test_make_autoreset_true" "test_passive_checker_wrapper_warnings" "test_pickle_env" "test_render_modes"
# TypeError: in method 'b2RevoluteJoint___SetMotorSpeed', argument 2 of type 'float32' "test_box_actions_out_of_bound"
# TypeError: exceptions must be derived from Warning, not <class 'NoneType'> "test_dict_init"
# ValueError: setting an array element with a sequence. # The requested array has an inhomogeneous shape after 1 dimensions. # The detected shape was (2,) + inhomogeneous part "test_sample_contains" ] ++ lib.optionals stdenv.hostPlatform.isDarwin [ # Fatal Python error: Aborted # gym/envs/classic_control/cartpole.py", line 227 in render "test_autoclose" "test_call_async_vector_env" "test_call_sync_vector_env" "test_human_rendering" "test_make_render_mode" "test_order_enforcing" "test_record_simple" "test_record_video_reset" "test_record_video_step_trigger" "test_record_video_using_default_trigger" "test_record_video_within_vecto" "test_text_envs" ];
disabledTestPaths = lib.optionals stdenv.hostPlatform.isDarwin [ # Fatal Python error: Aborted # gym/utils/play.py", line 62 in __init__ "tests/utils/test_play.py" ];
meta = { description = "Toolkit for developing and comparing your reinforcement learning agents"; homepage = "https://www.gymlibrary.dev/"; license = lib.licenses.mit; maintainers = with lib.maintainers; [ GaetanLepage ]; };}