115 lines
3.7 KiB
Python
115 lines
3.7 KiB
Python
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# Copyright 2017 The Chromium OS Authors. All rights reserved.
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# Use of this source code is governed by a BSD-style license that can be
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# found in the LICENSE file.
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"""Helper functions to parse result collected from device"""
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from __future__ import print_function
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from fix_skia_results import _TransformBenchmarks
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import json
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def normalize(bench, dict_list):
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bench_base = {
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'Panorama': 1,
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'Dex2oat': 1,
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'Hwui': 10000,
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'Skia': 1,
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'Synthmark': 1,
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'Binder': 0.001
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}
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result_dict = dict_list[0]
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for key in result_dict:
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result_dict[key] = result_dict[key] / bench_base[bench]
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return [result_dict]
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# Functions to parse benchmark result for data collection.
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def parse_Panorama(bench, fin):
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result_dict = {}
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for line in fin:
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words = line.split()
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if 'elapsed' in words:
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#TODO: Need to restructure the embedded word counts.
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result_dict['total_time_s'] = float(words[3])
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result_dict['retval'] = 0
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return normalize(bench, [result_dict])
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raise ValueError('You passed the right type of thing, '
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'but it didn\'t have the expected contents.')
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def parse_Synthmark(bench, fin):
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result_dict = {}
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accum = 0
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cnt = 0
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for line in fin:
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words = line.split()
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if 'normalized' in words:
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#TODO: Need to restructure the embedded word counts.
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accum += float(words[-1])
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cnt += 1
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if accum != 0:
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result_dict['total_voices'] = accum / cnt
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result_dict['retval'] = 0
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return normalize(bench, [result_dict])
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raise ValueError('You passed the right type of thing, '
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'but it didn\'t have the expected contents.')
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def parse_Binder(bench, fin):
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result_dict = {}
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accum = 0
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cnt = 0
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for line in fin:
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words = line.split()
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for word in words:
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if 'average' in word:
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#TODO: Need to restructure the embedded word counts.
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accum += float(word[8:-2])
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cnt += 1
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if accum != 0:
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result_dict['avg_time_ms'] = accum / cnt
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result_dict['retval'] = 0
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return normalize(bench, [result_dict])
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raise ValueError('You passed the right type of thing, '
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'but it didn\'t have the expected contents.')
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def parse_Dex2oat(bench, fin):
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result_dict = {}
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cnt = 0
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for line in fin:
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words = line.split()
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if 'elapsed' in words:
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cnt += 1
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#TODO: Need to restructure the embedded word counts.
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if cnt == 1:
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# First 'elapsed' time is for microbench 'Chrome'
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result_dict['chrome_s'] = float(words[3])
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elif cnt == 2:
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# Second 'elapsed' time is for microbench 'Camera'
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result_dict['camera_s'] = float(words[3])
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result_dict['retval'] = 0
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# Two results found, return
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return normalize(bench, [result_dict])
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raise ValueError('You passed the right type of thing, '
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'but it didn\'t have the expected contents.')
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def parse_Hwui(bench, fin):
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result_dict = {}
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for line in fin:
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words = line.split()
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if 'elapsed' in words:
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#TODO: Need to restructure the embedded word counts.
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result_dict['total_time_s'] = float(words[3])
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result_dict['retval'] = 0
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return normalize(bench, [result_dict])
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raise ValueError('You passed the right type of thing, '
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'but it didn\'t have the expected contents.')
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def parse_Skia(bench, fin):
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obj = json.load(fin)
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return normalize(bench, _TransformBenchmarks(obj))
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