Update critic.py

Author: KRRT7

codeflash/result/critic.py

@@ -73,28 +73,26 @@ def speedup_critic(
     # Check runtime comparison with best so far
     runtime_is_best = best_runtime_until_now is None or candidate_result.best_test_runtime < best_runtime_until_now
 
-    # Async throughput evaluation (if throughput data is available)
     throughput_improved = True  # Default to True if no throughput data
     throughput_is_best = True  # Default to True if no throughput data
 
     if original_async_throughput is not None and candidate_result.async_throughput is not None:
-        if original_async_throughput > 0:  # Avoid division by zero
+        if original_async_throughput > 0:
             throughput_gain_value = throughput_gain(
                 original_throughput=original_async_throughput, optimized_throughput=candidate_result.async_throughput
             )
             throughput_improved = throughput_gain_value > MIN_THROUGHPUT_IMPROVEMENT_THRESHOLD
-            logger.debug(
+            logger.info(
                 f"Async throughput gain: {throughput_gain_value * 100:.1f}% (original: {original_async_throughput}, optimized: {candidate_result.async_throughput})"
             )
 
         throughput_is_best = (
             best_throughput_until_now is None or candidate_result.async_throughput > best_throughput_until_now
         )
 
-    # For async functions with throughput data, both runtime and throughput should improve
-    # For sync functions or when throughput data is unavailable, only runtime matters
     if original_async_throughput is not None and candidate_result.async_throughput is not None:
-        return runtime_improved and runtime_is_best and throughput_improved and throughput_is_best
+        # prioritize throughput improvement
+        return (throughput_improved and throughput_is_best) and (runtime_improved or runtime_is_best)
     return runtime_improved and runtime_is_best