76 lines
1.8 KiB
Nix
76 lines
1.8 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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setuptools,
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wheel,
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numpy,
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pip,
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termcolor,
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pytestCheckHook,
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torch,
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pythonAtLeast,
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}:
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buildPythonPackage rec {
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pname = "rlcard";
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version = "1.0.7";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "datamllab";
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repo = "rlcard";
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rev = "refs/tags/${version}";
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hash = "sha256-SWj6DBItQzSM+nioV54a350Li7tbBaVXsQxNAqVgB0k=";
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};
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build-system = [
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setuptools
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wheel
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];
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dependencies = [
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numpy
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# pip is required at runtime (https://github.com/datamllab/rlcard/blob/1.0.7/rlcard/utils/utils.py#L10)
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pip
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termcolor
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];
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pythonImportsCheck = [ "rlcard" ];
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nativeCheckInputs = [
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pytestCheckHook
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torch
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];
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disabledTests = [
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# AttributeError: module 'numpy' has no attribute 'int'.
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# https://github.com/datamllab/rlcard/issues/266
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"test_decode_action"
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"test_get_legal_actions"
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"test_get_perfect_information"
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"test_get_player_id"
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"test_init_game"
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"test_is_deterministic"
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"test_proceed_game"
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"test_reset_and_extract_state"
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"test_run"
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"test_step"
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"test_step"
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"test_step_back"
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"test_step_back"
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# 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.
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"test_reorganize"
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];
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meta = with lib; {
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description = "Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO";
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homepage = "https://github.com/datamllab/rlcard";
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changelog = "https://github.com/datamllab/rlcard/releases/tag/${version}";
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license = licenses.mit;
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maintainers = with maintainers; [ GaetanLepage ];
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# Relies on deprecated distutils
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broken = pythonAtLeast "3.12";
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};
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}
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