@@ -57,7 +57,7 @@ def test_crop_function_values_2d(make_napari_viewer, shape, shape_type,
5757 viewer = make_napari_viewer ()
5858 img_layer = viewer .add_image (arr_2d )
5959 shapes_layer = viewer .add_shapes (shape , shape_type = shape_type )
60- cropped_actual = crop_region (viewer , img_layer , shapes_layer )
60+ cropped_actual = crop_region (img_layer , shapes_layer )
6161 cropped_actual_arrays = [cropped [0 ] for cropped in cropped_actual ][0 ]
6262 assert np .array_equal (crop_expected , cropped_actual_arrays )
6363
@@ -68,7 +68,7 @@ def test_crop_multiple_shapes(make_napari_viewer):
6868 viewer = make_napari_viewer ()
6969 img_layer = viewer .add_image (arr_2d )
7070 shapes_layer = viewer .add_shapes (shapes , shape_type = shape_types )
71- cropped_actual = crop_region (viewer , img_layer , shapes_layer )
71+ cropped_actual = crop_region (img_layer , shapes_layer , viewer = viewer )
7272
7373 assert len (shapes ) == len (cropped_actual )
7474
@@ -115,7 +115,7 @@ def test_crop_function_nd(layer_data, rgb, layer_type, shape_data, shape_type,
115115 nlayers = len (viewer .layers )
116116
117117 # Get first tuple element (data) of first list element (LayerDataTuple)
118- cropped_data = crop_region (viewer , layer , shapes_layer )[0 ][0 ]
118+ cropped_data = crop_region (layer , shapes_layer )[0 ][0 ]
119119 viewer .add_image (cropped_data )
120120
121121 assert len (viewer .layers ) == nlayers + 1
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