public void FindClusterEstimatorResult_Success_TwoClusters()
{
const string webServiceId = "first";
const bool byRow = true;
const bool fromFile = true;
const string filePath = "";
var expectedResult = new List <ClusterEstimation>()
{
new ClusterEstimation()
{
Center = new List <double>()
{
0.008, 8, 0, 1.29132
},
Density = 0.48838259233869064,
Potential = 2.9956271341667708,
Spread = 0.5
},
new ClusterEstimation()
{
Center = new List <double>()
{
31.994375, 18, 0, 15.43064
},
Density = 0.51655634484497237,
Potential = 2.7640230334912923,
Spread = 0.5
}
};
_loadTestDataManager
.Setup(testDataManager => testDataManager.ReadTestData(webServiceId, fromFile, filePath))
.Returns(_twoClustersMetricsData.ToString());
_loadTestDataPreprocessor
.Setup(loadTestDataPreprocessor => loadTestDataPreprocessor.PreprocessMetricsData(_oneClusterMetricsData.ToString(), webServiceId, byRow, fromFile, true))
.Returns(_twoClustersMetricsData);
var clusterEstimator = new ClusterEstimator(_loadTestDataManager.Object, _loadTestDataPreprocessor.Object);
clusterEstimator.GetMetricsData(webServiceId, fromFile, byRow);
var result = clusterEstimator.FindClusterEstimatorResult();
Assert.IsType <List <ClusterEstimation> >(result);
Assert.Equal(expectedResult, result);
}
public void GetMetricsData_Success_TwoClusters()
{
const string webServiceId = "first";
const bool byRow = true;
const bool fromFile = true;
const string filePath = "";
_loadTestDataManager
.Setup(testDataManager => testDataManager.ReadTestData(webServiceId, fromFile, filePath))
.Returns(_twoClustersMetricsData.ToString());
_loadTestDataPreprocessor
.Setup(loadTestDataPreprocessor => loadTestDataPreprocessor.PreprocessMetricsData(_oneClusterMetricsData.ToString(), webServiceId, byRow, fromFile, true))
.Returns(_twoClustersMetricsData);
var clusterEstimator = new ClusterEstimator(_loadTestDataManager.Object, _loadTestDataPreprocessor.Object);
clusterEstimator.GetMetricsData(webServiceId, fromFile, byRow);
var result = clusterEstimator.MetricsData;
Assert.IsType <List <string[]> >(result);
Assert.Equal(_twoClustersMetricsData, result);
}
public void FindClusterEstimatorResult_Success_OneCluster()
{
const string webServiceId = "first";
const bool byRow = true;
const bool fromFile = true;
const string filePath = "";
var expectedResult = new List <ClusterEstimation>()
{
new ClusterEstimation()
{
Center = new List <double>()
{
0.7731667, 1.2, 0, 3.025
},
Density = 0.066917659056544315,
Potential = 3.5435429288924456,
Spread = 1
}
};
_loadTestDataManager
.Setup(testDataManager => testDataManager.ReadTestData(webServiceId, fromFile, filePath))
.Returns(_oneClusterMetricsData.ToString());
_loadTestDataPreprocessor
.Setup(loadTestDataPreprocessor => loadTestDataPreprocessor.PreprocessMetricsData(_oneClusterMetricsData.ToString(), webServiceId, byRow, fromFile, true))
.Returns(_oneClusterMetricsData);
var clusterEstimator = new ClusterEstimator(_loadTestDataManager.Object, _loadTestDataPreprocessor.Object);
clusterEstimator.GetMetricsData(webServiceId, fromFile, byRow);
var result = clusterEstimator.FindClusterEstimatorResult();
Assert.IsType <List <ClusterEstimation> >(result);
Assert.Equal(expectedResult, result);
}
