Fix black formatting for test assertions

Apply black code formatter's preferred style for multi-line assertions
with continuation. This addresses the pre-commit CI failure.

Co-authored-by: thewtex <25432+thewtex@users.noreply.github.com>

Author: Copilot

Wrapping/Generators/Python/Tests/extras.py

@@ -423,19 +423,24 @@ def custom_callback(name, progress):
 image_from_arr = itk.image_from_array(test_arr)
 image_from_transpose = itk.image_from_array(test_arr.T)
 image_from_transpose_copy = itk.image_from_array(test_arr.T.copy())
-assert np.array_equal(image_from_arr.shape, test_arr.shape), \
-    f"Expected shape {test_arr.shape}, got {image_from_arr.shape}"
-assert np.array_equal(image_from_transpose.shape, test_arr.T.shape), \
-    f"Expected shape {test_arr.T.shape}, got {image_from_transpose.shape}"
-assert np.array_equal(image_from_transpose_copy.shape, test_arr.T.shape), \
-    f"Expected shape {test_arr.T.shape}, got {image_from_transpose_copy.shape}"
+assert np.array_equal(
+    image_from_arr.shape, test_arr.shape
+), f"Expected shape {test_arr.shape}, got {image_from_arr.shape}"
+assert np.array_equal(
+    image_from_transpose.shape, test_arr.T.shape
+), f"Expected shape {test_arr.T.shape}, got {image_from_transpose.shape}"
+assert np.array_equal(
+    image_from_transpose_copy.shape, test_arr.T.shape
+), f"Expected shape {test_arr.T.shape}, got {image_from_transpose_copy.shape}"
 # Also verify with image_view_from_array for consistency
 image_view_from_arr = itk.image_view_from_array(test_arr)
 image_view_from_transpose = itk.image_view_from_array(test_arr.T)
-assert np.array_equal(image_view_from_arr.shape, test_arr.shape), \
-    f"Expected shape {test_arr.shape}, got {image_view_from_arr.shape}"
-assert np.array_equal(image_view_from_transpose.shape, test_arr.T.shape), \
-    f"Expected shape {test_arr.T.shape}, got {image_view_from_transpose.shape}"
+assert np.array_equal(
+    image_view_from_arr.shape, test_arr.shape
+), f"Expected shape {test_arr.shape}, got {image_view_from_arr.shape}"
+assert np.array_equal(
+    image_view_from_transpose.shape, test_arr.T.shape
+), f"Expected shape {test_arr.T.shape}, got {image_view_from_transpose.shape}"
 image = itk.image_from_array(arr, is_vector=True)
 assert image.GetImageDimension() == 2
 image = itk.GetImageViewFromArray(arr, is_vector=True)