Source code for wlauto.workloads.nenamark

#    Copyright 2013-2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#


import os
import re

from wlauto import AndroidBenchmark, Parameter


[docs]class Nenamark(AndroidBenchmark): name = 'nenamark' description = """ NenaMark is an OpenGL-ES 2.0 graphics performance benchmark for Android devices. http://nena.se/nenamark_story From the website: The NenaMark2 benchmark scene averages about 45k triangles, with a span between 26k and 68k triangles. It averages 96 batches per frame and contains about 15 Mb of texture data (non-packed). """ package = 'se.nena.nenamark2' activity = 'se.nena.nenamark2.NenaMark2' parameters = [ Parameter('duration', kind=int, default=120, description=""" Number of seconds to wait before considering the benchmark finished """), ] regex = re.compile('.*NenaMark2.*Score.*?([0-9\.]*)fps')
[docs] def run(self, context): self.device.sleep(5) # wait for nenamark menu to show up self.device.execute('input keyevent 23') self.device.sleep(self.duration)
[docs] def update_result(self, context): super(Nenamark, self).update_result(context) with open(self.logcat_log) as fh: for line in fh: match = self.regex.search(line) if match: score = match.group(1) context.result.add_metric('nenamark score', score) break