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Numpy Benchmark 1.0.2
pts/numpy-1.0.2
- 13 May 2016 -
Set TimesToRun to 1
downloads.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v6.4.0m2--> <PhoronixTestSuite> <Downloads> <Package> <URL>http://www.phoronix-test-suite.com/benchmark-files/numpy-benchmarks-20160218.tar.gz</URL> <MD5>825d2ea40e75aa3ba13b8bb9eb01ed78</MD5> <SHA256>5ad3ad591cbe9415deaedc2bc5c29472dda40c14bc668ce8f119c6bdc0df3d34</SHA256> <FileSize>13090</FileSize> </Package> </Downloads> </PhoronixTestSuite>
install.sh
#!/bin/sh tar -xvf numpy-benchmarks-20160218.tar.gz echo $? > ~/install-exit-status echo "#!/bin/sh cd numpy-benchmarks-master/ python run.py -t python > numpy_log echo 'Test name : Avg time ( nanoseconds )' cat numpy_log | awk 'BEGIN{total_avg_time=0} {print \$1\":\"\$4;total_avg_time+=\$4;} END{printf(\"\n\n-------------------\nTotal avg time (nanoseconds): %.02f\n\", total_avg_time);}' \$@ > \$LOG_FILE echo \$? > ~/test-exit-status " > numpy chmod +x numpy
results-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v6.4.0m2--> <PhoronixTestSuite> <ResultsParser> <OutputTemplate>Total avg time (nanoseconds): #_RESULT_#</OutputTemplate> <ResultPrecision>4</ResultPrecision> </ResultsParser> </PhoronixTestSuite>
test-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v6.4.0m2--> <PhoronixTestSuite> <TestInformation> <Title>Numpy Benchmark</Title> <Description>This is a test to obtain the general Numpy performance.</Description> <ResultScale>Nanoseconds</ResultScale> <Proportion>LIB</Proportion> <TimesToRun>1</TimesToRun> </TestInformation> <TestProfile> <Version>1.0.2</Version> <SupportedPlatforms>Linux, BSD</SupportedPlatforms> <SoftwareType>Utility</SoftwareType> <TestType>Processor</TestType> <License>Free</License> <Status>Verified</Status> <ExternalDependencies>python</ExternalDependencies> <EnvironmentSize>12.4</EnvironmentSize> <ProjectURL>http://github.com/serge-sans-paille/</ProjectURL> <Maintainer>Victor Rodriguez Bahena</Maintainer> </TestProfile> </PhoronixTestSuite>