def test_find_longest_distance_all(self):
imX, imY = 100, 100
x_array, y_array = np.mgrid[0:10, 0:10]
for x, y in zip(x_array.flatten(), y_array.flatten()):
distance = int(((imX - x) ** 2 + (imY - y) ** 2) ** 0.5)
dist = pst._find_longest_distance(imX, imY, x, y, x, y)
assert dist == distance
x_array, y_array = np.mgrid[90:100, 90:100]
for x, y in zip(x_array.flatten(), y_array.flatten()):
distance = int((x ** 2 + y ** 2) ** 0.5)
dist = pst._find_longest_distance(imX, imY, x, y, x, y)
assert dist == distance
x_array, y_array = np.mgrid[0:10, 90:100]
for x, y in zip(x_array.flatten(), y_array.flatten()):
distance = int(((imX - x) ** 2 + y ** 2) ** 0.5)
dist = pst._find_longest_distance(imX, imY, x, y, x, y)
assert dist == distance
x_array, y_array = np.mgrid[90:100, 0:10]
for x, y in zip(x_array.flatten(), y_array.flatten()):
distance = int((x ** 2 + (imY - y) ** 2) ** 0.5)
dist = pst._find_longest_distance(imX, imY, x, y, x, y)
assert dist == distance
def test_find_longest_distance_manual(self):
# These values are tested manually, against knowns results,
# to make sure everything works fine.
imX, imY = 10, 10
centre_list = ((0, 0), (imX, 0), (0, imY), (imX, imY))
distance = 14
for cX, cY in centre_list:
dist = pst._find_longest_distance(imX, imY, cX, cY, cX, cY)
assert dist == distance
centre_list = ((1, 1), (imX - 1, 1), (1, imY - 1), (imX - 1, imY - 1))
distance = 12
for cX, cY in centre_list:
dist = pst._find_longest_distance(imX, imY, cX, cY, cX, cY)
assert dist == distance
imX, imY = 10, 5
centre_list = ((0, 0), (imX, 0), (0, imY), (imX, imY))
distance = 11
for cX, cY in centre_list:
dist = pst._find_longest_distance(imX, imY, cX, cY, cX, cY)
assert dist == distance
imX, imY = 10, 10
cX_min, cX_max, cY_min, cY_max = 1, 2, 2, 3
distance = 12
dist = pst._find_longest_distance(imX, imY, cX_min, cX_max, cY_min, cY_max)
assert dist == distance