cash: non_hashing tree exclusion

app.py

@@ -417,17 +417,12 @@ if submit_planning:
             #     route_score = round(tree.route_score(node_id), 3)
             #     st.image(get_route_svg(tree, node_id), caption=f"Route {node_id}; {num_steps} steps; Route score: {route_score}")
 
-        @st.cache_data
+        @st.cache_data(hash_funcs={Tree: lambda _: None})
         def prepare_clustering_data(tree):
-            """Pre-compute and cache the clustering data in chunks"""
             try:
-                # Free memory before starting
                 gc.collect()
-                
-                # Process in chunks
                 chunk_size = 10
                 super_cgrs_dict = {}
-                
                 for i in range(0, len(tree.winning_nodes), chunk_size):
                     chunk = list(tree.winning_nodes)[i:i+chunk_size]
                     temp_dict = {node: tree.synthesis_route(node) for node in chunk}
@@ -436,7 +431,6 @@ if submit_planning:
                     del temp_dict
                     gc.collect()
                 
-                # Process reduced CGRs in chunks
                 reduced_super_cgrs_dict = {}
                 for i in range(0, len(super_cgrs_dict), chunk_size):
                     keys = list(super_cgrs_dict.keys())[i:i+chunk_size]
@@ -448,7 +442,6 @@ if submit_planning:
                 
                 del super_cgrs_dict
                 gc.collect()
-                
                 return reduced_super_cgrs_dict
             except Exception as e:
                 st.error(f"Error in prepare_clustering_data: {str(e)}")