Add --max_per_format X argument to find_regressions_from_logs.py

from pathlib import Path

import pandas as pd

def main(logs_dir, output_filename, measure, days, all_results, diff_thr, ratio_thr, curr_value_thr):

def main(logs_dir, output_filename, measure, days, all_results, diff_thr, ratio_thr, curr_value_thr, max_per_format):

    input_path = Path(logs_dir)

    logs = [f for f in input_path.iterdir() if f.is_dir()]

    # Sort by format and then ratio

    result = result.sort_values(by=["format", "ratio"], ascending=[True, False])

    if max_per_format is not None:

        result = result.groupby("format").head(max_per_format)

    result["min_sha"] = "'" + result["min_sha"] # Add apostrophy to prevent Excel reading this as a number

    result.to_csv(output_filename, sep=";", index=False)

        help="Include test cases with curr_value above curr_value_thr, (default: 0.0)",

        default=0.0,

    )

    parser.add_argument(

        "--max_per_format",

        type=int,

        help="Max number of listed regressions per format (default: no limit)",

        default=None,

    )

    args = parser.parse_args()

    main(args.logs_dir, args.output_filename, args.measure, args.days, args.all_results, args.diff_thr, args.ratio_thr, args.curr_value_thr)

    main(args.logs_dir, args.output_filename, args.measure, args.days, args.all_results, args.diff_thr, args.ratio_thr, args.curr_value_thr, args.max_per_format)