draft PR anchor

Signed-off-by: Effi-S <effi.szt@gmail.com>

Author: Effi-S

cmd/benchmarking/bench_parse.py

@@ -89,3 +89,28 @@ def simple_parser(path: Path) -> pd.DataFrame:
         df['avg (ms)'] = df['workers'] * 1000 / df['tps']
 
     return df
+
+
+if __name__ == "__main__":
+    from pathlib import Path
+    from argparse import ArgumentParser
+    parser = ArgumentParser()
+    parser.add_argument("input", nargs="+", type=Path)
+    args = parser.parse_args()
+    print(args.input)
+    dfs = {str(path): simple_parser(path) for path in args.input}
+
+    from IPython import embed
+    embed(colors="Neutral")
+
+    # mains = {k:v for k, v in dfs.items() if "main" in k}
+    # for main_name, main_df in mains.items():
+    #     folding_name = main_name.replace("main", "folding")
+    #     folding_df = dfs[folding_name]
+    #     name = folding_name.replace('folding', '').strip(".txt")
+    #     name = name[0].upper() + name[1:]
+    #     m = main_df['tps'].mean()
+    #     f = folding_df['tps'].mean()
+    #     diff = f-m
+    #     per = (diff/f)*100
+    #     print(f"{name}:\n\tMain: {m:.2f} Folding: {f:.2f} Diff: {f-m:.2f}, Improvement: {per:.2f}%")