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([3/1, 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)
dataset/ETHPy150Open QuantEcon/QuantEcon.py/quantecon/game_theory/tests/test_normal_form_game.py/test_best_response_2p/swapped operands of `/`