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9 changes: 5 additions & 4 deletions monai/transforms/utility/dictionary.py
Original file line number Diff line number Diff line change
Expand Up @@ -730,10 +730,11 @@ def __call__(self, data):

"""
d = dict(data)
for new_key in self.names:
if new_key in d:
raise KeyError(f"Key {new_key} already exists in data.")
for key in self.key_iterator(d):
key_len = len(self.keys)
for i in range(self.times):
for key, new_key in self.key_iterator(d, self.names[i * key_len : (i + 1) * key_len]):
if new_key in d:
raise KeyError(f"Key {new_key} already exists in data.")
if isinstance(d[key], torch.Tensor):
d[new_key] = d[key].detach().clone()
else:
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6 changes: 3 additions & 3 deletions tests/test_copy_itemsd.py
Original file line number Diff line number Diff line change
Expand Up @@ -31,12 +31,12 @@
class TestCopyItemsd(unittest.TestCase):
@parameterized.expand([TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4])
def test_numpy_values(self, keys, times, names):
input_data = {"img": np.array([[0, 1], [1, 2]]), "seg": np.array([[0, 1], [1, 2]])}
input_data = {"img": np.array([[0, 1], [1, 2]]), "seg": np.array([[3, 4], [4, 5]])}
result = CopyItemsd(keys=keys, times=times, names=names)(input_data)
for name in ensure_tuple(names):
self.assertTrue(name in result)
result[name] += 1
np.testing.assert_allclose(result[name], np.array([[1, 2], [2, 3]]))
result["img_1"] += 1
np.testing.assert_allclose(result["img_1"], np.array([[1, 2], [2, 3]]))
np.testing.assert_allclose(result["img"], np.array([[0, 1], [1, 2]]))

def test_tensor_values(self):
Expand Down