public bool Graph(bool genCustom = true)
{
var logN = new LogNormal();
var normal = new Normal();
var m = genCustom ? normal.GenCustomNormal(1000000, Environment.TickCount) : normal.GenNormal(10000);
var mas = new double[m.Count];
var i = 0;
var list = new List<double>();
foreach (var el in m)
{
list.Add(el);
mas[i] = logN.GenLogNormalNumber(1, 10, el);
i++;
}
var res = new CreateGraphicData();
res.Create(mas, 80);
var gg = new GetMuSigma(list.ToArray());
Console.WriteLine(gg.ResultMu + "\n" + gg.ResultSigma);
Console.WriteLine(list.Min());
Console.ReadLine();
return true;
}
public bool GenFiles(
int numberOfFolder,
string pathFCell,
string quanMaterial,
string sigma,
List<string> listMaterial,
bool useCustomGenerator = true)
{
var ci = new CultureInfo("en-US");
//// Get items contained .dat
var dir = new DirectoryInfo(pathFCell);
var allFileList = dir.GetFiles().Select(file => file.FullName).ToList();
var cellFList = allFileList.Where(cell => cell.Contains(".dat")).ToList();
var numberRandom = (from pathCell in cellFList
from str in File.ReadAllLines(pathCell, Encoding.Default)
from material in listMaterial
where str.Contains(" multiplier bin:") && material.Split(' ').All(word => str.Contains(word))
select str).Count();
var normal = new Normal();
var logNormal = new LogNormal();
List<double> normalMassive;
// Generate Normal Massive
normalMassive = useCustomGenerator
? normal.GenCustomNormal(numberRandom*numberOfFolder, Environment.TickCount)
: normal.GenNormal(numberRandom*numberOfFolder);
var k = 0;
for (var l = 0; l < numberOfFolder; l++)
{
Directory.CreateDirectory(Path.Combine(dir.FullName, l.ToString()));
foreach (var pathCell in cellFList)
{
var file = new FileInfo(pathCell);
var outputPath = Path.Combine(dir.FullName, l.ToString(), file.Name);
outputPath = outputPath.Remove(outputPath.Length - 4);
var readText = File.ReadAllLines(pathCell, Encoding.Default);
foreach (var material in listMaterial)
{
var i = 0;
foreach (var str in readText)
{
if (str.Contains(" multiplier bin:") && material.Split(' ').All(word => str.Contains(word)))
{
var value = Convert.ToDouble((readText[i + 1].Trim()).Remove(11), ci);
value = logNormal.GenLogNormalNumber(value, Convert.ToDouble(sigma, ci),
normalMassive[k]);
readText[i + 1] = "\t\t\t\t " + value.ToString("#.00000E+00", ci) +
(readText[i + 1].Trim()).Remove(0, 11);
k++;
}
i++;
}
}
File.WriteAllLines(outputPath + ".dat", readText);
}
}
return true;
}