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#4683 clang-format on all files in ApplicationCode

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Magne Sjaastad
2019-09-06 10:40:57 +02:00
parent 3a317504bb
commit fe9e567825
2092 changed files with 117952 additions and 111846 deletions
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58
ApplicationCode/UnitTests/RimSummaryCaseCollection-Test.cpp
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@@ -6,54 +6,54 @@
#include <QDebug>
TEST(RimSummaryCaseCollection, EnsembleParameter)
TEST( RimSummaryCaseCollection, EnsembleParameter )
{
std::random_device rd;
std::mt19937 gen(rd());
std::uniform_real_distribution<double> meanDistribution(-10000.0, 10000.0);
std::uniform_real_distribution<double> variationDistribution(0.0, 5000.0);
std::uniform_int_distribution<size_t> countDistribution(1u, 1000u);
size_t N = 1000;
std::random_device rd;
std::mt19937 gen( rd() );
std::uniform_real_distribution<double> meanDistribution( -10000.0, 10000.0 );
std::uniform_real_distribution<double> variationDistribution( 0.0, 5000.0 );
std::uniform_int_distribution<size_t> countDistribution( 1u, 1000u );
size_t N = 1000;
std::vector<EnsembleParameter::NameParameterPair> parameters;
for (size_t i = 0; i < N; ++i)
for ( size_t i = 0; i < N; ++i )
{
EnsembleParameter param;
param.type = EnsembleParameter::TYPE_NUMERIC;
size_t valueCount = countDistribution(gen);
double meanValue = meanDistribution(gen);
double range = variationDistribution(gen);
std::uniform_real_distribution<double> valueDistribution(meanValue - range, meanValue + range);
double maxValue = -std::numeric_limits<double>::max();
double minValue = std::numeric_limits<double>::max();
for (size_t j = 0; j < valueCount; ++j)
size_t valueCount = countDistribution( gen );
double meanValue = meanDistribution( gen );
double range = variationDistribution( gen );
std::uniform_real_distribution<double> valueDistribution( meanValue - range, meanValue + range );
double maxValue = -std::numeric_limits<double>::max();
double minValue = std::numeric_limits<double>::max();
for ( size_t j = 0; j < valueCount; ++j )
{
double value = valueDistribution(gen);
maxValue = std::max(maxValue, value);
minValue = std::min(minValue, value);
param.values.push_back(QVariant(value));
double value = valueDistribution( gen );
maxValue = std::max( maxValue, value );
minValue = std::min( minValue, value );
param.values.push_back( QVariant( value ) );
}
param.minValue = minValue;
param.maxValue = maxValue;
double normStdDev = param.normalizedStdDeviation();
EXPECT_GE(normStdDev, 0.0);
EXPECT_LE(normStdDev, std::sqrt(2.0));
parameters.push_back(std::make_pair(QString("%1").arg(i), param));
EXPECT_GE( normStdDev, 0.0 );
EXPECT_LE( normStdDev, std::sqrt( 2.0 ) );
parameters.push_back( std::make_pair( QString( "%1" ).arg( i ), param ) );
}
size_t previousSize = parameters.size();
EnsembleParameter::sortByBinnedVariation(parameters);
EnsembleParameter::sortByBinnedVariation( parameters );
size_t currentSize = parameters.size();
EXPECT_EQ(previousSize, currentSize);
EXPECT_EQ( previousSize, currentSize );
int currentVariation = (int)EnsembleParameter::HIGH_VARIATION;
for (const EnsembleParameter::NameParameterPair& nameParamPair : parameters)
for ( const EnsembleParameter::NameParameterPair& nameParamPair : parameters )
{
EXPECT_GE(nameParamPair.second.variationBin, (int) EnsembleParameter::LOW_VARIATION);
EXPECT_LE(nameParamPair.second.variationBin, (int) EnsembleParameter::HIGH_VARIATION);
EXPECT_LE(nameParamPair.second.variationBin, currentVariation);
EXPECT_GE( nameParamPair.second.variationBin, (int)EnsembleParameter::LOW_VARIATION );
EXPECT_LE( nameParamPair.second.variationBin, (int)EnsembleParameter::HIGH_VARIATION );
EXPECT_LE( nameParamPair.second.variationBin, currentVariation );
currentVariation = nameParamPair.second.variationBin;
}
}