Avoid duplicate TP accounting in P0 padding summary

scripts/collectivespec/summarize_p0_phase_trace.py

@@ -328,11 +328,29 @@ def target_execution_agreement(worker_events: list[dict[str, Any]]) -> dict[str,
         }
 
     metadata_valid_count = 0
+    anchor_local_ranks: dict[int, int] = {}
+    for event in target_events:
+        dp_rank = integer(event.get("data_parallel_rank"))
+        local_rank = integer(event.get("local_rank"))
+        if dp_rank is None or local_rank is None:
+            continue
+        previous = anchor_local_ranks.get(dp_rank)
+        if previous is None or local_rank < previous:
+            anchor_local_ranks[dp_rank] = local_rank
+    anchor_events = [
+        event
+        for event in target_events
+        if integer(event.get("data_parallel_rank")) in anchor_local_ranks
+        and integer(event.get("local_rank"))
+        == anchor_local_ranks[integer(event.get("data_parallel_rank"))]
+    ]
     metadata_padding: list[int] = []
     raw_unequal_count = 0
     for event in target_events:
-        valid, padding, raw_unequal = _target_metadata_check(event)
+        valid, _, _ = _target_metadata_check(event)
         metadata_valid_count += valid
+    for event in anchor_events:
+        _, padding, raw_unequal = _target_metadata_check(event)
         if padding is not None:
             metadata_padding.append(padding)
         raw_unequal_count += bool(raw_unequal)
@@ -352,8 +370,9 @@ def target_execution_agreement(worker_events: list[dict[str, Any]]) -> dict[str,
             "valid_record_count": metadata_valid_count,
             "all_records_valid": len(target_events) > 0
             and metadata_valid_count == len(target_events),
-            "raw_dp_counts_unequal_record_count": raw_unequal_count,
-            "post_coordinate_minus_local_raw_rows": {
+            "anchor_record_count": len(anchor_events),
+            "raw_dp_counts_unequal_anchor_record_count": raw_unequal_count,
+            "per_dp_replica_anchor_post_coordinate_minus_local_raw_rows": {
                 "n": len(metadata_padding),
                 "min": min(metadata_padding) if metadata_padding else None,
                 "max": max(metadata_padding) if metadata_padding else None,