def test_best_response_2p(): test_case0 = { "payoff_array": np.array([[4, 0], [3, 2], [0, 3]]), "mixed_actions": [np.array([1, 0]), np.array([0.5, 0.5]), np.array([0, 1])], "brs_expected": [0, 1, 2], } test_case1 = { "payoff_array": np.zeros((2, 3)), "mixed_actions": [np.array([1, 0, 0]), np.array([1 / 3, 1 / 3, 1 / 3])], "brs_expected": [0, 0], } for test_case in [test_case0, test_case1]: for mixed_action, br_expected in zip(test_case["mixed_actions"], test_case["brs_expected"]): br_computed = best_response_2p(test_case["payoff_array"], mixed_action) eq_(br_computed, br_expected)
def test_best_response_2p(): test_case0 = { 'payoff_array': np.array([[4, 0], [3, 2], [0, 3]]), 'mixed_actions': [np.array([1, 0]), np.array([0.5, 0.5]), np.array([0, 1])], 'brs_expected': [0, 1, 2] } test_case1 = { 'payoff_array': np.zeros((2, 3)), 'mixed_actions': [np.array([1, 0, 0]), np.array([1/3, 1/3, 1/3])], 'brs_expected': [0, 0] } for test_case in [test_case0, test_case1]: for mixed_action, br_expected in zip(test_case['mixed_actions'], test_case['brs_expected']): br_computed = \ best_response_2p(test_case['payoff_array'], mixed_action) eq_(br_computed, br_expected)