[PATCH v2 10/13] RecipeCommon.Perf.Evaluators.BaselineFlowAverageEvaluator: override group_results

[Jan Tluka]

This will ensure that BaselineFlowAverageEvaluator evaluates the aggregated
flow data instead of individual flow data when parallel flows are used.

Signed-off-by: Jan Tluka <jtluka(a)redhat.com&gt;
---
 .../Perf/Evaluators/BaselineFlowAverageEvaluator.py    | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/lnst/RecipeCommon/Perf/Evaluators/BaselineFlowAverageEvaluator.py
b/lnst/RecipeCommon/Perf/Evaluators/BaselineFlowAverageEvaluator.py
index 5d2c014d..26b6f740 100644
--- a/lnst/RecipeCommon/Perf/Evaluators/BaselineFlowAverageEvaluator.py
+++ b/lnst/RecipeCommon/Perf/Evaluators/BaselineFlowAverageEvaluator.py
@@ -30,6 +30,16 @@ class BaselineFlowAverageEvaluator(BaselineEvaluator):
                 "receiver_cpu_stats",
             ]
 
+    def group_results(
+        self,
+        recipe: BaseRecipe,
+        recipe_conf: PerfRecipeConf,
+        results: List[PerfMeasurementResults],
+    ) -> List[List[PerfMeasurementResults]]:
+        new_results = results[0].measurement.aggregate_multi_flow_results(results)
+
+        return [new_results]
+
     def describe_group_results(
         self,
         recipe: BaseRecipe,
-- 
2.26.2