stage_times_df = pd.DataFrame(stage_times).sort_values("start") if args.pass_times: pass_times_df = pd.DataFrame(pass_times).sort_values("start") if args.sum_level: - pass_times_df["pass"] = pass_times_df["pass"].apply(lambda x: ".".join(x.split(".")[:args.sum_level])) + pass_times_df["pass"] = pass_times_df["pass"].apply(lambda x: ".".join(x.split(".")[: args.sum_level])) pass_times_df = pass_times_df.groupby("pass", as_index=False).agg({"start": "min", "end": "max"}) pass_times_df["time_s"] = pass_times_df["end"] - pass_times_df["start"] pass_times_df.sort_values("start", inplace=True) times_df = pd.concat([stage_times_df, pass_times_df]) else:

data_["n_skipped"] = len(data_["skipped"]) del data_["skipped"] data_["n_failed"] = len(data_["failed"]) del data_["failed"] data_["n_total"] = data_["n_failed"] + data_["n_skipped"] + data_["n_success"] + def helper(success, skipped, failed): if failed: return "bad" if skipped: return "ok" if success: return "good" return "unknown" + data_["status"] = helper(data_["n_success"], data_["n_skipped"], data_["n_failed"]) status_data.append(data_) status_df = pd.DataFrame(status_data) fmt = args.fmt if fmt == "auto":

for group, group_df in results_df.groupby(["model", "set", "xlen", "instr"], dropna=False): n_tests = len(group_df) counts = group_df["result"].value_counts() n_pass = counts.get("PASS", 0) n_fail = counts.get("FAIL", 0) + def helper(n_tests, n_pass, n_fail): if n_fail: return "bad" if n_pass: return "good"

Expected 1 blank line before a nested definition, found 0 (E306)

Expected 1 blank line before a nested definition, found 0 (E306)

Line too long (131 > 120 characters) (E501)

Line too long (132 > 120 characters) (E501)