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1{ 2 lib, 3 buildPythonPackage, 4 fetchFromGitHub, 5 setuptools, 6 wheel, 7 numpy, 8 pip, 9 termcolor, 10 pytestCheckHook, 11 torch, 12 pythonAtLeast, 13}: 14 15buildPythonPackage rec { 16 pname = "rlcard"; 17 version = "1.0.7"; 18 pyproject = true; 19 20 src = fetchFromGitHub { 21 owner = "datamllab"; 22 repo = "rlcard"; 23 rev = "refs/tags/${version}"; 24 hash = "sha256-SWj6DBItQzSM+nioV54a350Li7tbBaVXsQxNAqVgB0k="; 25 }; 26 27 build-system = [ 28 setuptools 29 wheel 30 ]; 31 32 dependencies = [ 33 numpy 34 # pip is required at runtime (https://github.com/datamllab/rlcard/blob/1.0.7/rlcard/utils/utils.py#L10) 35 pip 36 termcolor 37 ]; 38 39 pythonImportsCheck = [ "rlcard" ]; 40 41 nativeCheckInputs = [ 42 pytestCheckHook 43 torch 44 ]; 45 46 disabledTests = [ 47 # AttributeError: module 'numpy' has no attribute 'int'. 48 # https://github.com/datamllab/rlcard/issues/266 49 "test_decode_action" 50 "test_get_legal_actions" 51 "test_get_perfect_information" 52 "test_get_player_id" 53 "test_init_game" 54 "test_is_deterministic" 55 "test_proceed_game" 56 "test_reset_and_extract_state" 57 "test_run" 58 "test_step" 59 "test_step" 60 "test_step_back" 61 "test_step_back" 62 63 # ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 3 dimensions. The detected shape was (1, 1, 5) + inhomogeneous part. 64 "test_reorganize" 65 ]; 66 67 meta = with lib; { 68 description = "Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO"; 69 homepage = "https://github.com/datamllab/rlcard"; 70 changelog = "https://github.com/datamllab/rlcard/releases/tag/${version}"; 71 license = licenses.mit; 72 maintainers = with maintainers; [ GaetanLepage ]; 73 # Relies on deprecated distutils 74 broken = pythonAtLeast "3.12"; 75 }; 76}