def test_get_lowest_landscape_boundary_for_watersheds_small():
# Note: This is not a realistic example. The heights used in the test would not have resulted in these watersheds.
nx = 4
ny = 4
watersheds = [np.array([0, 4, 8, 12, 13, 14, 15]),
np.array([1, 2]),
np.array([3, 7, 11]),
np.array([5, 6]),
np.array([9, 10])]
heights = np.array([0, 2, 3, 4, 4, 3, 2, 1, 5, 6, 7, 8, 8, 7, 6, 5])
result_lowest_landscape_boundary = np.array([0, 2, 1, -1, -1])
lowest_landscape_boundary = trap_analysis.get_lowest_landscape_boundary_for_watersheds(watersheds, heights, nx, ny)
are_equal = np.array_equal(lowest_landscape_boundary, result_lowest_landscape_boundary)
assert are_equal
def test_get_lowest_landscape_boundary_for_watersheds():
# This is a modified version of the 7x7 where two of the boundary nodes have heights not equal to 10
nx = 7
ny = 7
watersheds = [np.array([0, 1, 2, 7, 8, 9, 14, 15, 16, 21, 22]),
np.array([3, 4, 5, 6, 10, 11, 12, 13, 17, 18, 19, 20, 23, 24, 25, 26, 27,
32, 33, 34, 39, 40, 41, 46, 47, 48]),
np.array([28, 29, 30, 31, 35, 36, 37, 38, 42, 43, 44, 45])]
heights = np.array([1, 10, 10, 10, 10, 10, 10, 10, 1, 8, 7, 7, 7, 10, 10, 6, 8, 5, 5, 5, 10,
10, 8, 8, 4, 2, 4, 10, 10, 9, 9, 3, 3, 3, 10, 10, 0, 1, 5, 5, 5, 10, 9,
10, 10, 10, 10, 10, 10])
result_lowest_boundary = np.array([1, 10, 9])
lowest_boundary = trap_analysis.get_lowest_landscape_boundary_for_watersheds(watersheds, heights, nx, ny)
are_equal = np.array_equal(lowest_boundary, result_lowest_boundary)
assert are_equal
