A bit rewording on the user interfaces.

Author: pengyunie

roosterize/interface/CommandLineInterface.py

@@ -241,15 +241,15 @@ def report_predictions(self, data: ProcessedFile, candidates_logprobs: List[List
         # Print suggestions
         total = len(good_names) + len(bad_names_and_suggestions) + len(bad_names_no_suggestion)
         print(f"== Analyzed {total} lemma names, "
-              f"{len(good_names)} ({len(good_names)/total:.1%}) look good.")
+              f"{len(good_names)} ({len(good_names)/total:.1%}) conform to the learned naming conventions.")
         if len(bad_names_and_suggestions) > 0:
             print(f"==========")
             print(f"== {len(bad_names_and_suggestions)} can be improved and here are Roosterize's suggestions:")
             for lemma, suggestion, score in sorted(bad_names_and_suggestions, key=lambda x: x[2], reverse=True):
                 print(f"Line {lemma.vernac_command[0].lineno}: {lemma.name} => {suggestion} (likelihood: {score:.2f})")
         if len(bad_names_no_suggestion) > 0:
             print(f"==========")
-            print(f"== {len(bad_names_no_suggestion)} can be improved but Roosterize cannot provide good suggestion (please consider improve_project_model):")
+            print(f"== {len(bad_names_no_suggestion)} can be improved but Roosterize cannot provide good suggestion:")
             for lemma, suggestion, score in sorted(bad_names_no_suggestion, key=lambda x: x[2], reverse=True):
                 print(f"Line {lemma.vernac_command[0].lineno}: {lemma.name} (best guess: {suggestion}; likelihood: {score:.2f})")
 

roosterize/interface/VSCodeInterface.py

@@ -56,7 +56,7 @@ def report_predictions(self, data: ProcessedFile, candidates_logprobs: List[List
 
         total = len(good_names) + len(bad_names_and_suggestions) + len(bad_names_no_suggestion)
         self.show_message(f"{data.path}: Analyzed {total} lemma names, "
-                          f"{len(good_names)} ({len(good_names)/total:.1%}) look good. "
+                          f"{len(good_names)} ({len(good_names)/total:.1%}) conform to the learned naming conventions. "
                           f"Roosterize made {len(bad_names_and_suggestions)} suggestions.")
 
         # Publish suggestions as diagnostics