本文整理汇总了C#中SparseArray类的典型用法代码示例。如果您正苦于以下问题：C# SparseArray类的具体用法？C# SparseArray怎么用？C# SparseArray使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
SparseArray类属于命名空间，在下文中一共展示了SparseArray类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: SparseArraySimpleTest
public void SparseArraySimpleTest()
{
var stringArrayRef = new string[1000];
var stringArray = new SparseArray<string>(1000);
var randomGenerator = new RandomGenerator(66707770); // make this deterministic
for (int idx = 0; idx < 1000; idx++)
{
if (randomGenerator.Generate(2.0) > 1)
{ // add data.
stringArrayRef[idx] = idx.ToString();
stringArray[idx] = idx.ToString();
}
else
{
stringArrayRef[idx] = null;
stringArray[idx] = null;
}
}
for (int idx = 0; idx < 1000; idx++)
{
Assert.AreEqual(stringArrayRef[idx], stringArray[idx]);
}
}示例2: Generate
public void Generate(SparseArray<float> production, SparseArray<float> attractions)
{
var ages = this.Root.Demographics.AgeRates;
var studentRates = this.Root.Demographics.SchoolRates.GetFlatData();
var zones = this.Root.ZoneSystem.ZoneArray.GetFlatData();
var prod = production.GetFlatData();
for ( int i = 0; i < zones.Length; i++ )
{
// this is only null for externals
var studentRatesForZone = studentRates[i];
if ( studentRatesForZone == null )
{
// if it is an external ignore
prod[i] = 0f;
}
else
{
// otherwise compute the production
var pd = zones[i].PlanningDistrict;
prod[i] = zones[i].Population * ages[zones[i].ZoneNumber, this.Age] * studentRatesForZone[this.Age, 0] *
StudentDailyRates[pd, 0, this.Age] * StudentTimeOfDayRates[pd, 0, this.Age];
}
}
SaveProductionToDisk( zones, prod );
}示例3: Generate
public override void Generate(SparseArray<float> production, SparseArray<float> attractions)
{
if(LoadData)
{
LoadExternalWorkerRates.LoadData();
LoadWorkAtHomeRates.LoadData();
LoadExternalJobsRates.LoadData();
ExternalRates = LoadExternalWorkerRates.GiveData();
WorkAtHomeRates = LoadWorkAtHomeRates.GiveData();
ExternalRates = LoadExternalJobsRates.GiveData();
}
var flatProduction = production.GetFlatData();
var flatWah = new float[flatProduction.Length];
var totalProduction = ComputeProduction(flatProduction, flatWah);
var totalAttraction = ComputeAttraction(attractions.GetFlatData());
Normalize(production.GetFlatData(), attractions.GetFlatData(), totalProduction, totalAttraction);
totalAttraction = RemoveWAHFromAttraction(attractions.GetFlatData(), flatWah);
StoreProductionData(production);
WriteGenerationFile(totalProduction, totalAttraction);
WriteAttractionFile(attractions);
if(LoadData)
{
LoadExternalWorkerRates.UnloadData();
LoadWorkAtHomeRates.UnloadData();
LoadExternalJobsRates.UnloadData();
WorkAtHomeRates = null;
ExternalRates = null;
ExternalJobs = null;
}
}示例4: Generate
public override void Generate(SparseArray<float> production, SparseArray<float> attractions)
{
if ( LoadData )
{
if ( DailyRates == null )
{
this.LoadDailyRates.LoadData();
this.DailyRates = this.LoadDailyRates.GiveData();
}
if ( TimeOfDayRates == null )
{
this.LoadTimeOfDayRates.LoadData();
this.TimeOfDayRates = this.LoadTimeOfDayRates.GiveData();
}
}
var flatProduction = production.GetFlatData();
var numberOfIndexes = flatProduction.Length;
// Compute the Production
ComputeProduction( flatProduction, numberOfIndexes );
float totalProduction = flatProduction.Sum();
WriteGenerationCSV( totalProduction );
//The PoRPoS Model does NOT include having an attraction component. The distribution will handle this case.
if ( LoadData )
{
this.DailyRates = null;
this.TimeOfDayRates = null;
}
}示例5: Run
public override void Run()
{
var numberOfCategories = this.Categories.Count;
SparseArray<float>[] O = new SparseArray<float>[numberOfCategories];
SparseArray<float>[] D = new SparseArray<float>[numberOfCategories];
Generation = true;
for ( int i = 0; i < numberOfCategories; i++ )
{
O[i] = Root.ZoneSystem.ZoneArray.CreateSimilarArray<float>();
D[i] = Root.ZoneSystem.ZoneArray.CreateSimilarArray<float>();
this.Categories[i].Generate( O[i], D[i] );
}
Generation = false;
var modeSplit = this.ModeSplit.ModeSplit( this.Distribution.Distribute( O, D, this.Categories ), this.Categories.Count );
if ( this.Transpose )
{
TransposeMatrix( modeSplit );
}
if ( this.SaveOutput )
{
if ( !Directory.Exists( this.PurposeName ) )
{
Directory.CreateDirectory( this.PurposeName );
}
for ( int i = 0; i < modeSplit.Count; i++ )
{
this.WriteModeSplit( modeSplit[i], this.Root.Modes[i], this.PurposeName );
}
}
this.Flows = modeSplit;
}示例6: Run
public override void Run()
{
if ( !this.Execute ) return;
// we actually don't write our mode choice
var numberOfCategories = this.Categories.Count;
SparseArray<float>[] O = new SparseArray<float>[numberOfCategories];
SparseArray<float>[] D = new SparseArray<float>[numberOfCategories];
for ( int i = 0; i < O.Length; i++ )
{
O[i] = Root.ZoneSystem.ZoneArray.CreateSimilarArray<float>();
D[i] = Root.ZoneSystem.ZoneArray.CreateSimilarArray<float>();
this.Categories[i].Generate( O[i], D[i] );
}
// if we only need to run generation we are done
if ( this.OnlyDoGeneration ) return;
// we don't do mode choice
foreach ( var distributionData in this.Distribution.Distribute( O, D, this.Categories ) )
{
var interative = this.ModeSplit as IInteractiveModeSplit;
if ( interative != null )
{
interative.EndInterativeModeSplit();
}
if ( !String.IsNullOrWhiteSpace( this.SaveResultFileName ) )
{
SaveFriction( distributionData.GetFlatData() );
}
}
}示例7: Generate
public void Generate(SparseArray<float> production, SparseArray<float> attractions)
{
float totalProduction = 0;
float totalAttraction = 0;
foreach (var zone in production.ValidIndexies())
{
float prod, attr;
production[zone] = (prod = this.PopulationFactor * production[zone]);
attractions[zone] = (attr = this.EmploymentFactor * attractions[zone]);
totalProduction += prod;
totalAttraction += attr;
}
if (totalAttraction <= 0)
{
throw new XTMF.XTMFRuntimeException("There is no employment in the zone system!");
}
else if (totalProduction <= 0)
{
throw new XTMF.XTMFRuntimeException("There is no population in the zone system!");
}
// Normalize the attractions
var inverseTotalAttraction = 1 / totalAttraction; // inverse totalAttraction to save on divisions
foreach (var zone in Root.ZoneSystem.ZoneArray.ValidIndexies())
{
attractions[zone] = (attractions[zone] * inverseTotalAttraction) * totalProduction;
}
}示例8: Generate
public override void Generate(SparseArray<float> production, SparseArray<float> attractions)
{
if ( LoadData )
{
if ( DailyRates == null )
{
this.LoadDailyRates.LoadData();
this.DailyRates = this.LoadDailyRates.GiveData();
}
if ( TimeOfDayRates == null )
{
this.LoadTimeOfDayRates.LoadData();
this.TimeOfDayRates = this.LoadTimeOfDayRates.GiveData();
}
}
var flatProduction = production.GetFlatData();
var flatAttraction = attractions.GetFlatData();
var numberOfIndexes = flatAttraction.Length;
// Compute the Production and Attractions
ComputeProduction( flatProduction, flatAttraction, numberOfIndexes );
//We do not normalize the attraction
if ( LoadData )
{
this.LoadDailyRates.UnloadData();
this.LoadTimeOfDayRates.UnloadData();
DailyRates = null;
TimeOfDayRates = null;
}
}示例9: TestCSVODC
public void TestCSVODC()
{
try
{
int[] zones = new int[] { 0, 1, 2, 3, 4, 5, 6 };
SparseArray<int> referenceArray = new SparseArray<int>( new SparseIndexing()
{
Indexes = new SparseSet[]
{
new SparseSet() { Start = 0, Stop = 6 }
}
} );
float[][][] allData = new float[1][][];
var data = CreateData( zones.Length );
CreateCSVFile( zones, data, "Test.csv" );
allData[0] = data;
var writer = new ODMatrixWriter<int>( referenceArray, 1, 1 );
writer.LoadCSVTimes( "Test.csv", false, 0, 0 );
writer.Save( "Test.odc", false );
var odcFloatData = ConvertData( allData, zones.Length, 1, 1 );
ValidateData( zones, odcFloatData, "Test.odc" );
}
finally
{
File.Delete( "Test.csv" );
File.Delete( "Test.odc" );
}
}示例10: EmmeMatrix
public EmmeMatrix(SparseArray<IZone> zoneSystem, float[][] data)
{
var zones = zoneSystem.GetFlatData();
MagicNumber = EmmeMagicNumber;
Version = 1;
Type = DataType.Float;
Dimensions = 2;
float[] temp = new float[zones.Length * zones.Length];
Indexes = new int[2][];
for(int i = 0; i < Indexes.Length; i++)
{
var row = Indexes[i] = new int[zones.Length];
for(int j = 0; j < row.Length; j++)
{
row[j] = zones[j].ZoneNumber;
}
}
for(int i = 0; i < data.Length; i++)
{
Array.Copy(data[i], 0, temp, i * zones.Length, zones.Length);
}
FloatData = temp;
DoubleData = null;
SignedIntData = null;
UnsignedIntData = null;
}示例11: GetRenderers
private SparseArray<DataRenderer> GetRenderers(IEntity entity) {
SparseArray<DataRenderer> renderers;
if (_renderers.TryGetValue(entity.UniqueId, out renderers) == false) {
renderers = new SparseArray<DataRenderer>();
_renderers[entity.UniqueId] = renderers;
}
return renderers;
}示例12: SetOneHundredElements
public void SetOneHundredElements()
{
SparseArray<int> array = new SparseArray<int>(10);
for (int k = 0; k < 100; k++)
array[(ulong)k] = k;
for (int k = 0; k < 100; k++)
Assert.AreEqual(k, array[(ulong)k]);
}示例13: GettingNonExistingReturnsNull
public void GettingNonExistingReturnsNull()
{
var array = new SparseArray<string>();
Assert.IsNull(array.GetValue(10000));
// We shouldn't have allocated items.
Assert.AreEqual("Values=20", array.ToString());
}示例14: GetNegativeShouldNotFail
public void GetNegativeShouldNotFail()
{
var array = new SparseArray<string>();
Assert.IsNull(array.GetValue(-10));
// We shouldn't have allocated items.
Assert.AreEqual("Values=20", array.ToString());
}示例15: ProcessFlow
public SparseTwinIndex<float> ProcessFlow(SparseArray<float> O, SparseArray<float> D, int[] validIndexes, SparseArray<float> attractionStar = null)
{
int length = validIndexes.Length;
Productions = O;
Attractions = D;
if(attractionStar == null)
{
AttractionsStar = D.CreateSimilarArray<float>();
}
else
{
AttractionsStar = attractionStar;
}
FlowMatrix = Productions.CreateSquareTwinArray<float>();
if(Friction == null)
{
InitializeFriction(length);
}
var flatAttractionStar = AttractionsStar.GetFlatData();
float[] oldTotal = new float[flatAttractionStar.Length];
var flatAttractions = Attractions.GetFlatData();
for(int i = 0; i < length; i++)
{
flatAttractionStar[i] = 1f;
oldTotal[i] = flatAttractions[i];
}
int iteration = 0;
float[] columnTotals = new float[length];
var balanced = false;
do
{
if(ProgressCallback != null)
{
// this doesn't go to 100%, but that is alright since when we end, the progress
// of the calling model should assume we hit 100%
ProgressCallback(iteration / (float)MaxIterations);
}
Array.Clear(columnTotals, 0, columnTotals.Length);
if(Vector.IsHardwareAccelerated)
{
VectorProcessFlow(columnTotals, FlowMatrix.GetFlatData());
}
else
{
ProcessFlow(columnTotals);
}
balanced = Balance(columnTotals, oldTotal);
} while((++iteration) < MaxIterations && !balanced);
if(ProgressCallback != null)
{
ProgressCallback(1f);
}
return FlowMatrix;
}