def test_generate_empty_possibles_matrix_returns_proper_matrix_in_shape_0():
# WHEN
possibles_matrix = generate_empty_possibles_matrix()
# THEN
for number in range(9):
assert np.all(possibles_matrix[:, :, number] == np.zeros((9, 9)) +
number + 1)
def test_generate_empty_possibles_matrix_retuns_proper_shaped_matrix():
# GIVEN
expected_shape = (9, 9, 9)
# WHEN
possibles_matrix = generate_empty_possibles_matrix()
# THEN
assert possibles_matrix.shape == expected_shape
def test_generate_empty_possibles_matrix_returns_array_with_proper_dtype():
# GIVEN
expected_dtype = np.uint8
# WHEN
dtype = generate_empty_possibles_matrix().dtype
# THEN
assert dtype == expected_dtype
def test_generate_empty_possibles_matrix_returns_proper_matrix_in_shape_2():
# GIVEN
expected_values = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
# WHEN
possibles_matrix = generate_empty_possibles_matrix()
# THEN
for row in range(9):
for col in range(9):
assert np.all(possibles_matrix[row, col] == expected_values)