def test_is_normal_tolerance():
atol = 0.25
# Pays attention to specified tolerance.
assert cirq.is_normal(np.array([[0, 0.5], [0, 0]]), atol=atol)
assert not cirq.is_normal(np.array([[0, 0.6], [0, 0]]), atol=atol)
# Error isn't accumulated across entries.
assert cirq.is_normal(np.array([[0, 0.5, 0], [0, 0, 0.5], [0, 0, 0]]), atol=atol)
assert not cirq.is_normal(np.array([[0, 0.5, 0], [0, 0, 0.6], [0, 0, 0]]), atol=atol)
def test_is_normal():
assert cirq.is_normal(np.array([[1]]))
assert cirq.is_normal(np.array([[3j]]))
assert cirq.is_normal(cirq.testing.random_density_matrix(4))
assert cirq.is_normal(cirq.testing.random_unitary(5))
assert not cirq.is_normal(np.array([[0, 1], [0, 0]]))
assert not cirq.is_normal(np.zeros((1, 0)))