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https://github.com/ARM-software/workload-automation.git
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Initial commit of open source Workload Automation.
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59
wlauto/workloads/smartbench/__init__.py
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59
wlauto/workloads/smartbench/__init__.py
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# Copyright 2013-2015 ARM Limited
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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import re
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import time
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from wlauto import AndroidUiAutoBenchmark
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class Smartbench(AndroidUiAutoBenchmark):
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name = 'smartbench'
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description = """
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Smartbench is a multi-core friendly benchmark application that measures the
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overall performance of an android device. It reports both Productivity and
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Gaming Index.
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https://play.google.com/store/apps/details?id=com.smartbench.twelve&hl=en
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From the website:
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It will be better prepared for the quad-core world. Unfortunately this also
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means it will run slower on older devices. It will also run slower on
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high-resolution tablet devices. All 3D tests are now rendered in full native
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resolutions so naturally it will stress hardware harder on these devices.
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This also applies to higher resolution hand-held devices.
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"""
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package = 'com.smartbench.twelve'
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activity = '.Smartbench2012'
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summary_metrics = ['Smartbench: valueGame', 'Smartbench: valueProd']
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run_timeout = 10 * 60
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prod_regex = re.compile('valueProd=(\d+)')
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game_regex = re.compile('valueGame=(\d+)')
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def update_result(self, context):
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super(Smartbench, self).update_result(context)
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with open(self.logcat_log) as fh:
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text = fh.read()
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match = self.prod_regex.search(text)
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prod = int(match.group(1))
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match = self.game_regex.search(text)
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game = int(match.group(1))
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context.result.add_metric('Smartbench: valueProd', prod)
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context.result.add_metric('Smartbench: valueGame', game)
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