google3/third_party/grte/v5_src/glibc-2.27/benchtests/scripts/compare_strings.py

#!/usr/bin/python
# Copyright (C) 2017-2018 Free Software Foundation, Inc.
# This file is part of the GNU C Library.
#
# The GNU C Library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# The GNU C Library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with the GNU C Library; if not, see
# <http://www.gnu.org/licenses/>.
"""Compare results of string functions

Given a string benchmark result file, print a table with comparisons with a
baseline.  The baseline is the first function, which typically is the builtin
function.
"""
import matplotlib as mpl
mpl.use('Agg')

import sys
import os
import json
import pylab
import argparse

try:
    import jsonschema as validator
except ImportError:
    print('Could not find jsonschema module.')
    raise


def parse_file(filename, schema_filename):
    with open(schema_filename, 'r') as schemafile:
        schema = json.load(schemafile)
        with open(filename, 'r') as benchfile:
            bench = json.load(benchfile)
            validator.validate(bench, schema)
            return bench


def draw_graph(f, v, ifuncs, results):
    """Plot graphs for functions

    Plot line graphs for each of the ifuncs

    Args:
        f: Function name
        v: Benchmark variant for the function.
        ifuncs: List of ifunc names
        results: Dictionary of results for each test criterion
    """
    print('Generating graph for %s, variant \'%s\'' % (f, v))
    xkeys = results.keys()

    pylab.clf()
    fig = pylab.figure(frameon=False)
    fig.set_size_inches(32, 18)
    pylab.ylabel('Performance improvement from base')
    X = range(len(xkeys))
    pylab.xticks(X, xkeys)

    i = 0

    while i < len(ifuncs):
        Y = [results[k][i] for k in xkeys]
        lines = pylab.plot(X, Y, label=':'+ifuncs[i])
        i = i + 1

    pylab.legend()
    pylab.grid()
    pylab.savefig('%s-%s.png' % (f, v), bbox_inches='tight')


def process_results(results, attrs, base_func, graph):
    """ Process results and print them

    Args:
        results: JSON dictionary of results
        attrs: Attributes that form the test criteria
    """

    for f in results['functions'].keys():
        print('Function: %s' % f)
        v = results['functions'][f]['bench-variant']
        print('Variant: %s' % v)

        base_index = 0
        if base_func:
            base_index = results['functions'][f]['ifuncs'].index(base_func)

        print("%36s%s" % (' ', '\t'.join(results['functions'][f]['ifuncs'])))
        print("=" * 120)
        graph_res = {}
        for res in results['functions'][f]['results']:
            attr_list = ['%s=%s' % (a, res[a]) for a in attrs]
            i = 0
            key = ', '.join(attr_list)
            sys.stdout.write('%36s: ' % key)
            graph_res[key] = res['timings']
            for t in res['timings']:
                sys.stdout.write ('%12.2f' % t)
                if i != base_index:
                    base = res['timings'][base_index]
                    diff = (base - t) * 100 / base
                    sys.stdout.write (' (%6.2f%%)' % diff)
                sys.stdout.write('\t')
                i = i + 1
            print('')

        if graph:
            draw_graph(f, v, results['functions'][f]['ifuncs'], graph_res)


def main(args):
    """Program Entry Point

    Take a string benchmark output file and compare timings.
    """

    base_func = None
    filename = args.input
    schema_filename = args.schema
    base_func = args.base
    attrs = args.attributes.split(',')

    results = parse_file(args.input, args.schema)
    process_results(results, attrs, base_func, args.graph)


if __name__ == '__main__':
    parser = argparse.ArgumentParser()

    # The required arguments.
    req = parser.add_argument_group(title='required arguments')
    req.add_argument('-a', '--attributes', required=True,
                        help='Comma separated list of benchmark attributes.')
    req.add_argument('-i', '--input', required=True,
                        help='Input JSON benchmark result file.')
    req.add_argument('-s', '--schema', required=True,
                        help='Schema file to validate the result file.')

    # Optional arguments.
    parser.add_argument('-b', '--base',
                        help='IFUNC variant to set as baseline.')
    parser.add_argument('-g', '--graph', action='store_true',
                        help='Generate a graph from results.')

    args = parser.parse_args()
    main(args)