def test_covariance_game():
nums_actions = (2, 3, 4)
N = len(nums_actions)
rho = 0.5
g = covariance_game(nums_actions, rho=rho)
eq_(g.nums_actions, nums_actions)
rho = 1
g = covariance_game(nums_actions, rho=rho)
for a in np.ndindex(*nums_actions):
for i in range(N - 1):
payoff_profile = g.payoff_profile_array[a]
assert_allclose(payoff_profile[i], payoff_profile[-1], atol=1e-8)
rho = -1 / (N - 1)
g = covariance_game(nums_actions, rho=rho)
for a in np.ndindex(*nums_actions):
assert_allclose(g.payoff_profile_array.sum(axis=-1),
np.zeros(nums_actions),
atol=1e-10)
def test_covariance_game():
nums_actions = (2, 3, 4)
N = len(nums_actions)
rho = 0.5
g = covariance_game(nums_actions, rho=rho)
eq_(g.nums_actions, nums_actions)
rho = 1
g = covariance_game(nums_actions, rho=rho)
for a in np.ndindex(*nums_actions):
for i in range(N-1):
payoff_profile = g.payoff_profile_array[a]
assert_allclose(payoff_profile[i], payoff_profile[-1])
rho = -1 / (N - 1)
g = covariance_game(nums_actions, rho=rho)
for a in np.ndindex(*nums_actions):
assert_allclose(g.payoff_profile_array.sum(axis=-1),
np.zeros(nums_actions),
atol=1e-10)