try to adapt python

ci/process_benchmark_data.py

@@ -29,7 +29,13 @@ def print_metric(v):
 
 print("# BENCHMARK RESULTS (AUTOGENERATED)")
 
+optimization_off_suffix = " (Optimizations disabled)"
+optimization_off_title = f"rpp{optimization_off_suffix}"
 for platform, results in new_data.items():
+    is_optimization = platform.endswith(optimization_off_suffix)
+    if is_optimization:
+        platform = platform[:-len(optimization_off_suffix)]
+        results = [{**r, "source": optimization_off_title} for r in results if r["source"] == 'rpp']
     for r in results:
         r["commit"] = git_commit
         r["commit_message"] = commit_message
@@ -45,8 +51,8 @@ def print_metric(v):
     print(f"<details>\n<summary>\n\n## {platform}\n</summary>")
     for title, title_data in group_by(platformResults, lambda x:x["title"]):
         print(f"<details>\n<summary>\n\n### {title} \n</summary>\n\n")
-        print("name | rxcpp | rpp | prev rpp | ratio")
-        print("--- | --- | --- | --- | --- ")
+        print("name | rxcpp | rpp | prev rpp | ratio | rpp no optimization")
+        print("--- | --- | --- | --- | --- | ---")
         for name, name_data in group_by(title_data, lambda x: x["name"]):
             last_2_commits = [list(v) for _, v in group_by(name_data, lambda x: x["commit"])][-2:]
 
@@ -57,12 +63,13 @@ def print_metric(v):
             cur_vals = {k: list(v)[0] for k, v in group_by(last_2_commits[-1], lambda x: x["source"])}
             rpp_value = cur_vals.get('rpp', {}).get('median(elapsed)')
             rxcpp_value = cur_vals.get('rxcpp', {}).get('median(elapsed)')
+            no_optimization_value = cur_vals.get(optimization_off_title, {}).get('median(elapsed)')
 
             ratio = None
             if prev_value and rpp_value:
                 ratio = rpp_value/prev_value
 
-            print(f"{name} | {print_metric(rxcpp_value)} | {print_metric(rpp_value)}| {print_metric(prev_value)} | {ratio if ratio else 0:.2f}")
+            print(f"{name} | {print_metric(rxcpp_value)} | {print_metric(rpp_value)}| {print_metric(prev_value)} | {ratio if ratio else 0:.2f} | {print_metric(no_optimization_value)}")
         print("\n</details>")
     print(f"</details>")