minor modifications for the sake of testing

fairpyx/algorithms/heterogeneous_matroid_constraints_algorithms.py

@@ -87,7 +87,6 @@ def per_category_round_robin(alloc: AllocationBuilder, item_categories: dict[str
         logger.info(f'Envy graph before RR -> {envy_graph.nodes}, edges -> in {envy_graph.edges}')
         helper_categorization_friendly_picking_sequence(alloc, current_order, item_categories[category], agent_category_capacities, category)
         helper_update_envy_graph(alloc.bundles, valuation_func, envy_graph, item_categories, agent_category_capacities,callback)
-        callback(helper_generate_directed_graph_base64(envy_graph))#TODO remove
         logger.info(f'Envy graph after  RR -> {envy_graph.nodes}, edges -> in {envy_graph.edges}')
         if not nx.is_directed_acyclic_graph(envy_graph):
             logger.info("Cycle removal started ")
@@ -765,8 +764,8 @@ def helper_update_envy_graph(curr_bundles: dict, valuation_func: callable, envy_
                     #print(f"{agent1} envies {agent2}")  # works great .
                     # we need to add edge from the envier to the envyee
                     envy_graph.add_edge(agent1, agent2)
-                    if callback:
-                        callback(helper_generate_directed_graph_base64(envy_graph))
+                    #if callback:
+                    callback(helper_generate_directed_graph_base64(envy_graph))
     logger.info(f"envy_graph.edges after update -> {envy_graph.edges}")
 
 # def visualize_graph(envy_graph):