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#!/usr/bin/python
# Copyright (C) 2017 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
"""
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):
""" 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)
base_index = 0
if base_func:
base_index = results['functions'][f]['ifuncs'].index(base_func)
print('\t'.join(results['functions'][f]['ifuncs']))
v = results['functions'][f]['bench-variant']
print('Variant: %s' % v)
print("=" * 80)
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('%s: \t' % key)
graph_res[key] = res['timings']
for t in res['timings']:
sys.stdout.write ('%.2f' % t)
if i != base_index:
diff = (res['timings'][base_index] - t) * 100 / res['timings'][base_index]
sys.stdout.write (' (%.2f%%)' % diff)
sys.stdout.write('\t')
i = i + 1
print('')
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)
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.')
args = parser.parse_args()
main(args)
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