def __call__(self, data):
d = dict(data)
for key in self.keys:
try:
points = get_extreme_points(d[key])
if d.get(self.result) is None:
d[self.result] = dict()
d[self.result][self.points] = np.array(points).astype(
int).tolist()
except ValueError:
pass
return d
def test_type_shape(self, input_data, expected):
result = get_extreme_points(**input_data)
self.assertEqual(result, expected)
def randomize(self, label: np.ndarray) -> None:
self.points = get_extreme_points(label,
rand_state=self.R,
background=self.background,
pert=self.pert)