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Co-authored-by: Eric Kerfoot <[email protected]>
Signed-off-by: Rafael Garcia-Dias <[email protected]>

Author: garciadias

tests/transforms/test_gibbs_noise.py

@@ -27,7 +27,7 @@
 
 shapes = ((128, 64), (64, 48, 80))
 input_types = TEST_NDARRAYS if has_torch_fft else [np.array]
-TEST_CASES = [[p_dict["shape"], p_dict["input_type"]] for p_dict in dict_product(shape=shapes, input_type=input_types)]
+TEST_CASES = list(map(list, product(shape=shapes, input_type=input_types)))
 
 
 class TestGibbsNoise(unittest.TestCase):