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										108
									
								
								wlauto/workloads/hwuitest/__init__.py
									
									
									
									
									
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										108
									
								
								wlauto/workloads/hwuitest/__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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#pylint: disable=E1101,W0201
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import os
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import re
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from collections import defaultdict
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from wlauto import Workload, Parameter, Executable
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from wlauto.utils.types import caseless_string
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BINARY = "hwuitest"
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IGNORED_METRICS = ["Stats since", "Total frames rendered"]
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class HWUITest(Workload):
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    name = 'hwuitest'
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    description = """
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    Tests UI rendering latency on android devices
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    """
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    supported_platforms = ['android']
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    parameters = [
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        Parameter('test', kind=caseless_string, default="shadowgrid",
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                  allowed_values=["shadowgrid", "rectgrid", "oval"],
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                  description="""
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                  The test to run:
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                     - ``'shadowgrid'``: creates a grid of rounded rects that
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                       cast shadows, high CPU & GPU load
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                     - ``'rectgrid'``: creates a grid of 1x1 rects
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                     - ``'oval'``: draws 1 oval
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                  """),
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        Parameter('loops', kind=int, default=3,
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                  description="The number of test iterations."),
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        Parameter('frames', kind=int, default=150,
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                  description="The number of frames to run the test over."),
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    ]
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    def setup(self, context):
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        host_exe = context.resolver.get(Executable(self,
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                                                   self.device.abi,
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                                                   BINARY))
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        self.device.install(host_exe)
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    def run(self, context):
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        self.output = self.device.execute("{} {} {} {}".format(BINARY,
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                                                               self.test.lower(),
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                                                               self.loops,
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                                                               self.frames))
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    def update_result(self, context):
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        outfile = os.path.join(context.output_directory, 'hwuitest.output')
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        with open(outfile, 'w') as wfh:
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            wfh.write(self.output)
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        context.add_artifact('hwuitest', outfile, kind='raw')
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        normal = re.compile(r'(?P<value>\d*)(?P<unit>\w*)')
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        with_pct = re.compile(r'(?P<value>\d*) \((?P<percent>.*)%\)')
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        count = 0
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        for line in self.output.splitlines():
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            #Filters out "Success!" and blank lines
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            try:
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                metric, value_string = [p.strip() for p in line.split(':', 1)]
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            except ValueError:
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                continue
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            # Filters out unwanted lines
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            if metric in IGNORED_METRICS:
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                continue
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            if metric == "Janky frames":
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                count += 1
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                match = with_pct.match(value_string).groupdict()
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                context.result.add_metric(metric,
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                                          match['value'],
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                                          None,
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                                          classifiers={"loop": count,
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                                                       "frames": self.frames})
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                context.result.add_metric(metric + "_pct",
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                                          match['value'],
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                                          "%",
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                                          classifiers={"loop": count,
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                                                       "frames": self.frames})
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            else:
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                match = normal.match(value_string).groupdict()
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                context.result.add_metric(metric,
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                                          match['value'],
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                                          match['unit'],
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                                          classifiers={"loop": count,
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                                                       "frames": self.frames})
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    def teardown(self, context):
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        self.device.uninstall_executable(BINARY)
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