add max coverage value to the print

deconvolution/d2graph/path_optimization.py

@@ -60,9 +60,10 @@ class Optimizer:
                 best_score = len(coverage)
                 last_increase_node = current_node
                 if verbose:
-                    print(f"New best: {len(best_path)} {best_score}")
+                    print(f"New best: {len(best_path)} {best_score} / {max_cov}")
 
                 if len(coverage) == max_cov:
+                    print("Max coverage")
                     return best_path
             else:
                 nb_steps_since_last_score_up += 1