def test_del(self):
t = RandomDict()
t['a'] = 1
t['b'] = 2
del t['a']
self.assertEqual(2, t['b'])
self.assertEqual(1, len(t))
self.assertEqual(2, t.pop('b'))
self.assertEqual(0, len(t))
matches_list = {}
max_n_try = 500000
n = 0
count_match = 0
while (n < min(max_n_try, possible_n_matches)):
if len(matches_list) >= N_matches:
break
rand_point3D_id, rand_pair_choices = matches.random_item()
assert (rand_point3D_id not in invalid_points3D_id)
assert (len(rand_pair_choices) > 0)
rand_pair_key, rand_pair = rand_pair_choices.random_item()
rand_pair_choices.pop(rand_pair_key)
if len(rand_pair_choices) == 0:
matches.pop(rand_point3D_id)
n += 1
image_id1 = rand_pair[0]
image_id2 = rand_pair[1]
patch_id1 = point3D_id_image_id_to_patch_id[(rand_point3D_id, image_id1)]
patch_id2 = point3D_id_image_id_to_patch_id[(rand_point3D_id, image_id2)]
print('%d/%d %d (img:%d[patch:%d] img:%d[patch:%d])' %
(n, possible_n_matches, rand_point3D_id, image_id1, patch_id1,
image_id2, patch_id2))
key = (patch_id1, patch_id2)
matches_list[key] = (rand_point3D_id, rand_point3D_id)
# visualize the matchings
# if len(matches_list) % 900 == 0:
# img = np.zeros(shape=(input_sz, input_sz*2), dtype=np.uint8)
# patch1 = extract_patch_from_grid(patch_id1)
