Python best_response_2p Examples

Example #1

File: test_normal_form_game.py Project: qiaoqiaozhu/QuantEcon.py

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)

Example #2

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)