public void LoadData()
{
BinaryHelpers.ExecuteReader(this, (reader) =>
{
var matrix = new EmmeMatrix(reader);
if (matrix.Dimensions != 2)
{
throw new XTMFRuntimeException(this, "In '" + Name + "' the matrix loaded in from '" + MatrixFile + "' was not an OD binary matrix!");
}
Data = SparseTwinIndex <float> .CreateSquareTwinIndex(matrix.Indexes[0], matrix.Indexes[1], matrix.FloatData);
Loaded = true;
}, MatrixFile);
}
public void LoadData()
{
var zoneSystem = LoadZoneSystem(ZoneSystem);
var data = SparseTwinIndex <float> .CreateSquareTwinIndex(zoneSystem, zoneSystem);
if (ThirdNormalized)
{
LoadThirdNormalized(data);
}
else
{
LoadSquareCSV(data);
}
_data = data;
Loaded = true;
}
public void LoadData()
{
var zoneSystem = LoadZoneSystem(ZoneSystem);
var data = SparseTwinIndex <float> .CreateSquareTwinIndex(zoneSystem, zoneSystem);
TMG.Functions.BinaryHelpers.ExecuteReader(this, (reader) =>
{
var matrix = new Emme.EmmeMatrix(reader);
var flatData = data.GetFlatData();
int srcIndex = 0;
for (int i = 0; i < flatData.Length; i++)
{
Array.Copy(matrix.FloatData, srcIndex, flatData[i], 0, flatData.Length);
srcIndex += flatData.Length;
}
}, LoadFrom);
_data = data;
Loaded = true;
}
public void LoadData()
{
var originalZones = LoadZoneSystem(OriginalZoneSystem);
var convertToZones = LoadZoneSystem(ConvertToZoneSystem);
var ret = SparseTwinIndex <float> .CreateSquareTwinIndex(convertToZones, convertToZones);
var original = GetData(Original);
var flat = ret.GetFlatData();
var map = ColumnNormalize(BuildMapping(originalZones, convertToZones), originalZones.Length);
switch (Aggregation)
{
case Aggregations.Sum:
ApplySum(map, flat, original);
break;
case Aggregations.Average:
ApplyAverage(map, flat, original);
break;
}
_data = ret;
Loaded = true;
}