def test_large_power(cls):
"""Test power for a 9 factor model."""
factor_count = 9
factor_data = []
# generate a 2^9 factorial
for run in itertools.product([-1, 1], repeat=factor_count):
factor_data.append(list(run))
factor_data = pd.DataFrame(factor_data, columns=design.get_factor_names(factor_count))
model = "(X1+X2+X3+X4+X5+X6+X7+X8+X9)**4" # will generate a 4fi model
power_result = power.f_power(model, factor_data, 0.2, 0.05)
answer = np.ndarray(256)
answer.fill(0.61574355066172015)
answer[0] = 0.99459040972676238
np.testing.assert_allclose(power_result, answer, rtol=1e-4)
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