⚡️ Speed up function funcA by 15%

code_to_optimize/code_directories/simple_tracer_e2e/workload.py

@@ -4,10 +4,7 @@
 
 def funcA(number):
     number = min(1000, number)
-    # j is not used (retained for parity)
-    j = number * (number - 1) // 2
-
-    # Use cached version for repeated calls
+    # j is not used (retained for parity in logic, but removed for speed)
     return _cached_joined(number)
 
 
@@ -39,8 +36,9 @@ def _extract_features(self, x):
         return result
 
     def _classify(self, features):
-        total = sum(features)
-        return [total % self.num_classes for _ in features]
+        # Compute the sum and modulo just once, then construct the result list efficiently
+        mod_val = sum(features) % self.num_classes
+        return [mod_val] * len(features)
 
 
 class SimpleModel:
@@ -62,9 +60,10 @@ def test_models():
     prediction = model2.predict(input_data)
 
 
-@lru_cache(maxsize=1001)  # One possible input per [0, 1000]
+@lru_cache(maxsize=1001)
 def _cached_joined(number):
-    return " ".join(str(i) for i in range(number))
+    # Use map(str, ...) instead of comprehension for better speed
+    return " ".join(map(str, range(number)))
 
 
 if __name__ == "__main__":