X-Git-Url: https://gerrit.fd.io/r/gitweb?p=csit.git;a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_tables.py;h=a022c65e093471d222cbab03ceaf97254b4cec0b;hp=f4fe1be174b57647c10ac232ceabfb7541aa87f2;hb=8e75584f75d0e675f1fb050f25b80ee5caa5935d;hpb=6ef96e8c0a95dc9ccfaf51fe51b60b7934ed6e89

diff --git a/resources/tools/presentation/generator_tables.py b/resources/tools/presentation/generator_tables.py
index f4fe1be174..a022c65e09 100644
--- a/resources/tools/presentation/generator_tables.py
+++ b/resources/tools/presentation/generator_tables.py
@@ -22,7 +22,7 @@ import prettytable
 from string import replace
 
 from errors import PresentationError
-from utils import mean, stdev, relative_change
+from utils import mean, stdev, relative_change, find_outliers
 
 
 def generate_tables(spec, data):
@@ -401,21 +401,17 @@ def table_performance_comparison(table, input_data):
     for tst_name in tbl_dict.keys():
         item = [tbl_dict[tst_name]["name"], ]
         if tbl_dict[tst_name]["ref-data"]:
-            item.append(round(mean(remove_outliers(
-                tbl_dict[tst_name]["ref-data"],
-                table["outlier-const"])) / 1000000, 2))
-            item.append(round(stdev(remove_outliers(
-                tbl_dict[tst_name]["ref-data"],
-                table["outlier-const"])) / 1000000, 2))
+            data_t, _ = find_outliers(tbl_dict[tst_name]["ref-data"],
+                                      table["outlier-const"])
+            item.append(round(mean(data_t) / 1000000, 2))
+            item.append(round(stdev(data_t) / 1000000, 2))
         else:
             item.extend([None, None])
         if tbl_dict[tst_name]["cmp-data"]:
-            item.append(round(mean(remove_outliers(
-                tbl_dict[tst_name]["cmp-data"],
-                table["outlier-const"])) / 1000000, 2))
-            item.append(round(stdev(remove_outliers(
-                tbl_dict[tst_name]["cmp-data"],
-                table["outlier-const"])) / 1000000, 2))
+            data_t, _ = find_outliers(tbl_dict[tst_name]["cmp-data"],
+                                      table["outlier-const"])
+            item.append(round(mean(data_t) / 1000000, 2))
+            item.append(round(stdev(data_t) / 1000000, 2))
         else:
             item.extend([None, None])
         if item[1] is not None and item[3] is not None: