private void inputs(string filename)
{
string[] lines = File.ReadAllLines(filename);
OrderUpTo = Int32.Parse(lines[1]);
ReviewPeriod = Int32.Parse(lines[4]);
StartInventoryQuantity = Int32.Parse(lines[7]);
StartLeadDays = Int32.Parse(lines[10]);
StartOrderQuantity = Int32.Parse(lines[13]);
NumberOfDays = Int32.Parse(lines[16]);
string[] temp;
for (int i = 19; i < 24; i++)
{
temp = lines[i].Split(',');
DemandDistribution.Add(new Distribution());
DemandDistribution[i - 19].Value = Int32.Parse(temp[0]);
DemandDistribution[i - 19].Probability = Decimal.Parse(temp[1]);
}
for (int i = 26; i < 29; i++)
{
temp = lines[i].Split(',');
LeadDaysDistribution.Add(new Distribution());
LeadDaysDistribution[i - 26].Value = Int32.Parse(temp[0]);
LeadDaysDistribution[i - 26].Probability = Decimal.Parse(temp[1]);
}
}
public void readfile(string fna)
{
FileStream fs = new FileStream(fna, FileMode.Open);
StreamReader sr = new StreamReader(fs);
while (sr.Peek() != -1)
{
string fineline = sr.ReadLine();
if (fineline == "")
{
continue;
}
else if (fineline.Contains("OrderUpTo"))
{
OrderUpTo = int.Parse(sr.ReadLine());
}
else if (fineline.Contains("ReviewPeriod"))
{
ReviewPeriod = int.Parse(sr.ReadLine());
}
else if (fineline.Contains("StartInventoryQuantity"))
{
StartInventoryQuantity = int.Parse(sr.ReadLine());
}
else if (fineline.Contains("StartLeadDays"))
{
StartLeadDays = int.Parse(sr.ReadLine());
}
else if (fineline.Contains("StartOrderQuantity"))
{
StartOrderQuantity = int.Parse(sr.ReadLine());
}
else if (fineline.Contains("NumberOfDays"))
{
NumberOfDays = int.Parse(sr.ReadLine());
}
else if (fineline.Contains("DemandDistribution"))
{
int cp = 0;
while (true)
{
string td = sr.ReadLine();
if (td == "")
{
break;
}
string[] l = td.Split(',');
Distribution x = new Distribution();
x.Value = int.Parse(l[0]);
int pro = Convert.ToInt32(float.Parse(l[1]) * 100);
x.Probability = pro;
x.CummProbability = cp + pro;
x.MinRange = cp + 1;
cp += pro;
x.MaxRange = cp;
DemandDistribution.Add(x);
}
}
else if (fineline.Contains("LeadDaysDistribution"))
{
int cp = 0;
while (true)
{
string td = sr.ReadLine();
if (td == "" || td == null)
{
break;
}
string[] l = td.Split(',');
Distribution x = new Distribution();
x.Value = int.Parse(l[0]);
int pro = Convert.ToInt32(float.Parse(l[1]) * 100);
x.Probability = pro;
x.CummProbability = cp + pro;
x.MinRange = cp + 1;
cp += pro;
x.MaxRange = cp;
LeadDaysDistribution.Add(x);
}
}
}
fs.Close();
}
public void ReadInput(string filepath)
{
string str;
FileStream fs = new FileStream(filepath, FileMode.Open);
StreamReader SR = new StreamReader(fs);
// char s = (char)SR.Read();
while (SR.Peek() != -1)
{
str = SR.ReadLine();
if (str == "OrderUpTo")
{
OrderUpTo = int.Parse(SR.ReadLine());
SR.ReadLine();
continue;
}
else if (str == "ReviewPeriod")
{
ReviewPeriod = int.Parse(SR.ReadLine());
SR.ReadLine();
continue;
}
else if (str == "StartLeadDays")
{
StartLeadDays = int.Parse(SR.ReadLine());
SR.ReadLine();
continue;
}
else if (str == "StartInventoryQuantity")
{
StartInventoryQuantity = int.Parse(SR.ReadLine());
SR.ReadLine();
continue;
}
else if (str == "StartOrderQuantity")
{
StartOrderQuantity = int.Parse(SR.ReadLine());
SR.ReadLine();
continue;
}
else if (str == "NumberOfDays")
{
NumberOfDays = int.Parse(SR.ReadLine());
SR.ReadLine();
continue;
}
else if (str == "DemandDistribution")
{
str = SR.ReadLine();
while (str != "")
{
string[] substrings = str.Split(new char[] { ',' }, StringSplitOptions.RemoveEmptyEntries);
Distribution DD = new Distribution();
DD.Value = int.Parse(substrings[0]);
DD.Probability = decimal.Parse(substrings[1]);
str = SR.ReadLine();
DemandDistribution.Add(DD);
}
generate_cumulative_range(DemandDistribution);
continue;
}
else if (str == "LeadDaysDistribution")
{
str = SR.ReadLine();
while (str != "" && str != null)
{
string[] substrings = str.Split(new char[] { ',' }, StringSplitOptions.RemoveEmptyEntries);
Distribution LTD = new Distribution();
LTD.Value = int.Parse(substrings[0]);
LTD.Probability = decimal.Parse(substrings[1]);
str = SR.ReadLine();
LeadDaysDistribution.Add(LTD);
}
generate_cumulative_range(LeadDaysDistribution);
continue;
}
}
SR.Close();
}
///////////// My Methods /////////////
public void ReadFromFile(string path)
{
Distribution distribution;
List <string> fileLines = new List <string>();
StreamReader sr = new StreamReader(path);
while (!sr.EndOfStream)
{
fileLines.Add(sr.ReadLine());
}
sr.Close();
int idx0 = fileLines.IndexOf("OrderUpTo");
OrderUpTo = Convert.ToInt32(fileLines[idx0 + 1]);
int idx1 = fileLines.IndexOf("ReviewPeriod");
ReviewPeriod = Convert.ToInt32(fileLines[idx1 + 1]);
int idx2 = fileLines.IndexOf("StartInventoryQuantity");
StartInventoryQuantity = Convert.ToInt32(fileLines[idx2 + 1]);
int idx3 = fileLines.IndexOf("StartLeadDays");
StartLeadDays = Convert.ToInt32(fileLines[idx3 + 1]);
int idx4 = fileLines.IndexOf("StartOrderQuantity");
StartOrderQuantity = Convert.ToInt32(fileLines[idx4 + 1]);
int idx5 = fileLines.IndexOf("NumberOfDays");
NumberOfDays = Convert.ToInt32(fileLines[idx5 + 1]);
int idx6 = fileLines.IndexOf("DemandDistribution");
for (int i = idx6 + 1; i < fileLines.Count(); ++i)
{
if (string.IsNullOrEmpty(fileLines[i]))
{
break;
}
distribution = new Distribution();
string[] numbers = fileLines[i].Split(new string[] { ", " }, StringSplitOptions.None);
distribution.Value = Convert.ToInt32(numbers[0]);
distribution.Probability = Convert.ToDecimal(numbers[1]);
DemandDistribution.Add(distribution);
}
int idx7 = fileLines.IndexOf("LeadDaysDistribution");
for (int i = idx7 + 1; i < fileLines.Count(); ++i)
{
if (string.IsNullOrEmpty(fileLines[i]))
{
break;
}
distribution = new Distribution();
string[] numbers = fileLines[i].Split(new string[] { ", " }, StringSplitOptions.None);
distribution.Value = Convert.ToInt32(numbers[0]);
distribution.Probability = Convert.ToDecimal(numbers[1]);
LeadDaysDistribution.Add(distribution);
}
}