def test_sparse_values_even_order(self):
times = 2
order = 6
a_0_val = [1, 1, 2]
a_t_val = [1, 2, 1, 4, 4, 2, 8, 12, 12, 16, 32, 48, 32, 80, 160, 64,
192, 480]
expect = (a_0_val, a_t_val)
# Compare result and expected value
result = constraint.sparse_values(times, order)
assert(len(expect) == len(result))
for i in range(0, len(expect)):
np.testing.assert_array_equal(result[i], expect[i])
def test_sparse_values_zero(self):
np.testing.assert_equal(constraint.sparse_values(self.zero_times,
self.zero_order),
([], []))
def test_sparse_values_negative(self):
np.testing.assert_equal(constraint.sparse_values(self.negative_times,
self.negative_order),
([], []))