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	Initial commit of open source Workload Automation.
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								wlauto/workloads/caffeinemark/__init__.py
									
									
									
									
									
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								wlauto/workloads/caffeinemark/__init__.py
									
									
									
									
									
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| #    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 | ||||
| # | ||||
| # 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 re | ||||
|  | ||||
| from wlauto import AndroidUiAutoBenchmark | ||||
|  | ||||
|  | ||||
| class Caffeinemark(AndroidUiAutoBenchmark): | ||||
|  | ||||
|     name = 'caffeinemark' | ||||
|     description = """ | ||||
|     CaffeineMark is a series of tests that measure the speed of Java | ||||
|     programs running in various hardware and software configurations. | ||||
|  | ||||
|     http://www.benchmarkhq.ru/cm30/info.html | ||||
|  | ||||
|     From the website: | ||||
|  | ||||
|     CaffeineMark scores roughly correlate with the number of Java instructions | ||||
|     executed per second, and do not depend significantly on the the amount of | ||||
|     memory in the system or on the speed of a computers disk drives or internet | ||||
|     connection. | ||||
|  | ||||
|     The following is a brief description of what each test does: | ||||
|  | ||||
|         - Sieve: The classic sieve of eratosthenes finds prime numbers. | ||||
|         - Loop: The loop test uses sorting and sequence generation as to measure | ||||
|                 compiler optimization of loops. | ||||
|         - Logic: Tests the speed with which the virtual machine executes | ||||
|                  decision-making instructions. | ||||
|         - Method: The Method test executes recursive function calls to see how | ||||
|                   well the VM handles method calls. | ||||
|         - Float: Simulates a 3D rotation of objects around a point. | ||||
|         - Graphics: Draws random rectangles and lines. | ||||
|         - Image: Draws a sequence of three graphics repeatedly. | ||||
|         - Dialog: Writes a set of values into labels and editboxes on a form. | ||||
|  | ||||
|     The overall CaffeineMark score is the geometric mean of the individual | ||||
|     scores, i.e., it is the 9th root of the product of all the scores. | ||||
|     """ | ||||
|     package = "com.flexycore.caffeinemark" | ||||
|     activity = ".Application" | ||||
|     summary_metrics = ['OverallScore'] | ||||
|  | ||||
|     regex = re.compile(r'CAFFEINEMARK RESULT: (?P<type>\w+) (?P<value>\S+)') | ||||
|  | ||||
|     def update_result(self, context): | ||||
|         super(Caffeinemark, self).update_result(context) | ||||
|         with open(self.logcat_log) as fh: | ||||
|             for line in fh: | ||||
|                 match = self.regex.search(line) | ||||
|                 if match: | ||||
|                     metric = match.group('type') | ||||
|                     value = float(match.group('value')) | ||||
|                     context.result.add_metric(metric, value) | ||||
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