[FIX] assertion that shapes do not match

break code run if this is raised for debugging purposes.

src/scportrait/pipeline/segmentation/segmentation.py

@@ -758,12 +758,11 @@ def _resolve_sharding(self, sharding_plan):
             if orig_input.shape != shifted_map.shape:
                 Warning("Shapes do not match")
                 self.log("Shapes do not match")
-                self.log("window", window[0], window[1])
-                self.log("shifted_map shape:", shifted_map.shape)
-                self.log("orig_input shape:", orig_input.shape)
+                self.log(f"window: {(window[0], window[1])}")
+                self.log("shifted_map shape: {shifted_map.shape}")
+                self.log("orig_input shape: {orig_input.shape}")
 
-                # dirty fix to get this to run until we can implement a better solution
-                shifted_map = np.zeros(orig_input.shape)
+                raise ValueError("Shapes do not match. Please send this example to the developers for troubleshooting.")
 
             # since shards are computed with overlap there potentially already exist segmentations in the selected area that we wish to keep
             # if orig_input has a value that is not 0 (i.e. background) and the new map would replace this with 0 then we should keep the original value, in all other cases we should overwrite the values with the
@@ -779,7 +778,7 @@ def _resolve_sharding(self, sharding_plan):
                 np.unique(orig_input[np.where((orig_input != 0) & (shifted_map != 0))])
             )  # gets all ids that potentially need to be discarded over both masks
 
-            # we dont want to discard any ideas that touch the edge of the image
+            # we dont want to discard any id's' that touch the edge of the image
             # for these ids we can not ensure when processing this shard that the entire cell is present in the shard
             # if we would delete these ids we would potentially be deleting half of a cell
             edge_labels = set(_return_edge_labels(orig_input))