modelverse/performance/perf_max.py

"""Computes the maximal value for a given selection of quantities, optimization levels
   and test names."""

import sys
import argparse
from collections import defaultdict
import utils


def main():
    arg_parser = argparse.ArgumentParser()
    arg_parser.add_argument(
        'input', help='The performance data file.', nargs='?', default=None)
    arg_parser.add_argument(
        '-q',
        '--quantity',
        type=str,
        help="The quantity to filter on. Defaults to '%s'" %
        utils.TOTAL_TIME_QUANTITY,
        default=utils.TOTAL_TIME_QUANTITY)
    arg_parser.add_argument(
        '-O',
        '--opt',
        type=str,
        nargs='*',
        help="Filters on optimization levels.")
    arg_parser.add_argument(
        '-t', '--test', type=str, nargs='*', help="Filters on tests.")

    args = arg_parser.parse_args()

    perf_data = utils.parse_perf_data(args.input)[args.quantity]

    if args.opt:
        optimization_set = set(args.opt)
        perf_data = [(optimization_level, measurements)
                     for optimization_level, measurements in perf_data
                     if optimization_level in optimization_set]

    if args.test:
        test_set = set(args.test)
        new_perf_data = []
        for optimization_level, measurements in perf_data:
            new_measurements = []
            for test_name, data_point in measurements:
                if test_name in test_set:
                    new_measurements.append((test_name, data_point))

            if len(new_measurements) > 0:
                new_perf_data.append((optimization_level, new_measurements))
        perf_data = new_perf_data

    print(max(
        max(data_point for _, data_point in measurements)
        for _, measurements in perf_data))


if __name__ == '__main__':
    main()