chore: import upstream snapshot with attribution

examples/flows/evaluation/eval-summarization/average_scores.py

@@ -0,0 +1,40 @@
+from typing import Dict, List
+
+from promptflow.core import log_metric, tool
+
+
+@tool
+def aggregate(
+    fluency_list: List[float],
+    consistency_list: List[float],
+    relevance_list: List[float],
+    coherence_list: List[float],
+) -> Dict[str, float]:
+    """
+    Takes list of scores for 4 dims and outputs average for them.
+
+    Args:
+        fluency_list (List(float)): list of fluency scores
+        consistency_list (List(float)): list of consistency scores
+        relevance_list (List(float)): list of relevance scores
+        coherence_list (List(float)): list of coherence scores
+
+    Returns:
+        Dict[str, float]: Returns average scores
+    """
+    average_fluency = sum(fluency_list) / len(fluency_list)
+    average_consistency = sum(consistency_list) / len(consistency_list)
+    average_relevance = sum(relevance_list) / len(relevance_list)
+    average_coherence = sum(coherence_list) / len(coherence_list)
+
+    log_metric("average_fluency", average_fluency)
+    log_metric("average_consistency", average_consistency)
+    log_metric("average_relevance", average_relevance)
+    log_metric("average_coherence", average_coherence)
+
+    return {
+        "average_fluency": average_fluency,
+        "average_consistency": average_consistency,
+        "average_relevance": average_relevance,
+        "average_coherence": average_coherence,
+    }