Not a Dup words...

dedup.py

@@ -42,7 +42,7 @@ signal.signal(signal.SIGINT, exit_handler)
 
 def exit_timer(level):
 	end = time.perf_counter()
-	print(f"Execution took {end - start:.4f} seconds")
+	print(f"⏱ Execution took {end - start:.4f} seconds")
 	exit(level)
 	
 class Timer:
@@ -74,7 +74,7 @@ class Timer:
     
     def print_result(self):
         elapsed = self.elapsed()
-        print(f"{self.name}: {elapsed:.6f} seconds")	
+        print(f"{self.name}: ⏱ {elapsed:.6f} seconds")	
 
 def align_with_downscaling(img1, img2, downscale_factor=4, try_common_rotations=True):
     """
@@ -442,7 +442,7 @@ if __name__ == "__main__":
     
     if (hash1 == hash2):
         print("xxHash found duplicates")
-        print("✅ Perfect match - images are identical")
+        print("❌ Perfect match - images are identical - Duplicate Found!")
         print("No transformation needed")
         exit_timer(1)
     else:
@@ -456,14 +456,16 @@ if __name__ == "__main__":
     w, h = get_image_dimensions_cv(large_img1)
     w2, h2 = get_image_dimensions_cv(large_img2)
     if w == None or w2 == None or h == None or h2 == None:
-        print("Aborting...Invalid Image!")
+        print("❌Aborting❌...Invalid Image!")
         exit_timer(8)
     if w != w2 and w != h2:
         print("Diffent Resolutions")
+        print("👌Not a Duplicate")
         exit_timer(0)
     
     if h != h2 and h != w2:
         print("Diffent Resolutions")
+        print("👌Not a Duplicate")
         exit_timer(0)
 
     print("Done loading images...")
@@ -491,10 +493,10 @@ if __name__ == "__main__":
 	    is_score = ""
 			
     if matrix_score == 1.0 and is_score != "scores":
-        print("✅ Perfect Matrix score, should be identical")
+        print("❌ Perfect match score, images should be identical - Duplicate Found!")
         exit_timer(1)
     if matrix_score < 0.3 and is_score != "scores":
-        print("❌ Significant transformation required")
+        print("👌Not a Duplicate, best guess!")
         exit_timer(0)
     if is_score == "scores":
 	    score = find_duplicate_with_rotation(large_img1, aligned)
@@ -505,14 +507,14 @@ if __name__ == "__main__":
     
     # Check for perfect alignment
     if matrix_score == 1.0 and decomposed_score == 1.0 and combined_score == 1.0:
-        print("✅ Perfect match - images are identical")
+        print("❌ Perfect match - images are identical - Duplicate Found!")
         print("No transformation needed")
         exit_code = 1
     elif matrix_score > 0.9 and decomposed_score > 0.9 and combined_score > 0.7:
-	    print("⚠️ Near-perfect alignment - minor differences detected")
+	    print("✅ Near-perfect alignment - minor differences detected")
 	    exit_code = 2
     else:
-        print("❌ Significant transformation required")
+        print("👌Not a Duplicate")
         exit_code = 0
     
     print(f"Matrix deviation score: {matrix_score:.4f}")