Numpy Benchmark 1.1.0

pts/numpy-1.1.0 - 10 January 2020 - Updates per https://github.com/phoronix-test-suite/test-profiles/pull/116

downloads.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v9.2.1-->
<PhoronixTestSuite>
  <Downloads>
    <Package>
      <URL>http://www.phoronix-test-suite.com/benchmark-files/numpy-benchmarks-20190903.tar.gz</URL>
      <MD5>d7026b2b5aa41838eaf3c365ff676f08</MD5>
      <SHA256>5c8600646d9d34d48cb5c3c410d877fe85626d4b85eba9f09c4426ac330e5aa2</SHA256>
      <FileName>numpy-benchmarks-20190903.tar.gz</FileName>
      <FileSize>15023</FileSize>
    </Package>
  </Downloads>
</PhoronixTestSuite>

install.sh

#!/bin/sh

tar -xvf numpy-benchmarks-20190903.tar.gz
echo $? > ~/install-exit-status
echo "#!/bin/sh
cd numpy-benchmarks-master/
python3 run.py -t python -p python3 > numpy_log
echo \$? > ~/test-exit-status 
echo 'Test name :   Avg time ( nanoseconds )'
cat numpy_log > \$LOG_FILE" > numpy
chmod +x numpy

results-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v9.2.1-->
<PhoronixTestSuite>
  <SystemMonitor>
    <Sensor>sys.time</Sensor>
  </SystemMonitor>
</PhoronixTestSuite>

test-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v9.2.1-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>Numpy Benchmark</Title>
    <Description>This is a test to obtain the general Numpy performance.</Description>
    <ResultScale>Seconds</ResultScale>
    <Proportion>LIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.1.0</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>