def test_get_boundary_nodes_in_watersheds_advanced():
num_of_cols = 9
num_of_rows = 9
watersheds = [np.array([79, 41, 42, 43, 69, 51, 52, 53, 71, 70, 60, 61, 62, 78, 44, 40, 34,
6, 7, 8, 14, 15, 16, 35, 23, 24, 25, 17, 80, 33, 32, 31, 26]),
np.array([0, 36, 39, 30, 29, 28, 27, 22, 21, 20, 37, 18, 13, 19, 38,
1, 2, 11, 10, 9, 3, 4, 12, 5]),
np.array([77, 76, 75, 74, 73, 72, 68, 67, 50, 49, 64, 63, 45, 46,
47, 59, 58, 57, 56, 55, 54, 48, 65, 66])]
result_boundary_nodes = [np.array([6, 7, 8, 14, 15, 17, 23, 26, 31, 32, 35, 40, 41, 42, 44, 51,
53, 60, 62, 69, 71, 78, 79, 80]),
np.array([0, 1, 2, 3, 4, 5, 9, 13, 18, 21, 22, 27, 30, 36, 37, 38, 39]),
np.array([45, 46, 47, 48, 49, 50, 54, 59, 63, 68, 72, 73, 74, 75, 76, 77])]
boundary_nodes = trap_analysis.get_boundary_nodes_in_watersheds(watersheds, num_of_cols, num_of_rows)
# Sort the elements of each boundary as the compare method is more conservative.
for i in range(len(boundary_nodes)):
boundary_nodes[i] = np.sort(boundary_nodes[i])
print boundary_nodes
are_equal = compare_methods.compare_two_lists_of_arrays(boundary_nodes, result_boundary_nodes)
assert are_equal
def test_get_boundary_nodes_in_watersheds():
num_of_cols = 6
num_of_rows = 5
watersheds = [np.array([3, 4, 5, 10, 11]),
np.array([0, 1, 2, 6, 7, 8, 12, 13, 14, 18, 19, 20, 24, 25, 26]),
np.array([9, 15, 16, 17, 21, 22, 23, 27, 28, 29])]
result_boundary_nodes = [np.array([3, 4, 5, 10, 11]),
np.array([0, 1, 2, 6, 8, 12, 14, 18, 20, 24, 25, 26]),
np.array([9, 15, 16, 17, 21, 23, 27, 28, 29])]
boundary_nodes = trap_analysis.get_boundary_nodes_in_watersheds(watersheds, num_of_cols, num_of_rows)
# Sort the elements of each boundary as the compare method is more conservative.
for i in range(len(boundary_nodes)):
boundary_nodes[i] = np.sort(boundary_nodes[i])
are_equal = compare_methods.compare_two_lists_of_arrays(boundary_nodes, result_boundary_nodes)
assert are_equal
