Loading scripts/basop_check_for_changes_in_testcases.py +2 −2 Original line number Diff line number Diff line Loading @@ -120,7 +120,7 @@ def main(args): df_crashes_fixed = pd.merge( df_crashes_fixed, cmdlines_crashes_fixed, on="testcase" ) df_crashes_fixed.to_csv(OUTFILE_CRASHES_FIXED, mode="a", sep=";") df_crashes_fixed.to_csv(OUTFILE_CRASHES_FIXED, sep=";") # remove columns with ERRORs in any of the csv files before comparing the numerical columns mask_no_errors = (df_merged[col_curr] != "ERROR") & (df_merged[col_prev] != "ERROR") Loading Loading @@ -174,7 +174,7 @@ def main(args): outfile_improvements = OUTFILE_SCORES_IMPROVEMENTS.format( col.replace(" ", "_") ) df_better.to_csv(outfile_improvements, mode="a", sep=";") df_better.to_csv(outfile_improvements, sep=";") return int(regressions_found) Loading Loading
scripts/basop_check_for_changes_in_testcases.py +2 −2 Original line number Diff line number Diff line Loading @@ -120,7 +120,7 @@ def main(args): df_crashes_fixed = pd.merge( df_crashes_fixed, cmdlines_crashes_fixed, on="testcase" ) df_crashes_fixed.to_csv(OUTFILE_CRASHES_FIXED, mode="a", sep=";") df_crashes_fixed.to_csv(OUTFILE_CRASHES_FIXED, sep=";") # remove columns with ERRORs in any of the csv files before comparing the numerical columns mask_no_errors = (df_merged[col_curr] != "ERROR") & (df_merged[col_prev] != "ERROR") Loading Loading @@ -174,7 +174,7 @@ def main(args): outfile_improvements = OUTFILE_SCORES_IMPROVEMENTS.format( col.replace(" ", "_") ) df_better.to_csv(outfile_improvements, mode="a", sep=";") df_better.to_csv(outfile_improvements, sep=";") return int(regressions_found) Loading