private void button1_Click(object sender, EventArgs e)
{
d = new DayTypeDistribution();
for (int i = 0; i < Enum.GetNames(typeof(Enums.DayType)).Length; i++)
{
if (comboBox1.SelectedItem.ToString() == ((Enums.DayType)i).ToString())
{
d.DayType = (Enums.DayType)i;
}
}
d.Probability = double.Parse(Probability.Text.ToString());
if (cnt == 0)
{
d.MinRange = 1;
d.CummProbability = d.Probability;
}
else
{
d.CummProbability = DaysDistributions[cnt - 1].CummProbability + d.Probability;
d.MinRange = DaysDistributions[cnt - 1].MaxRange + 1;
}
d.MaxRange = (int)(d.CummProbability * 100);
cnt++;
comboBox1.Text = "";
comboBox1.Items.Remove(comboBox1.SelectedItem);
Probability.Text = "";
DaysDistributions.Add(d);
cumPro += d.Probability;
if (cumPro >= 1)
{
this.Close();
}
}
private void button2_Click(object sender, EventArgs e)
{
DemandDistribution d = new DemandDistribution();
DayTypeDistribution dd = new DayTypeDistribution();
int cnt = 0;
for (int i = 0; i < dataGridView1.RowCount - 1; i++)
{
d = new DemandDistribution();
mySystem.DemandDistributions.Add(d);
mySystem.DemandDistributions[i].Demand = int.Parse(dataGridView1[0, i].Value.ToString());
for (int j = 1; j < mySystem.DayTypeDistributions.Count + 1; j++)
{
dd = new DayTypeDistribution();
dd.DayType = (Enums.DayType)(j - 1);
if (i == 0)
{
dd.Probability = double.Parse(dataGridView1[j, i].Value.ToString());
dd.CummProbability = double.Parse(dataGridView1[j, i].Value.ToString());
dd.MinRange = 1;
dd.MaxRange = (int)(dd.CummProbability * 100);
}
else
{
dd.Probability = double.Parse(dataGridView1[j, i].Value.ToString());
dd.CummProbability =
dd.Probability + mySystem.DemandDistributions[i - 1].DayTypeDistributions[Math.Abs(j - 1)].CummProbability;
dd.MinRange =
(mySystem.DemandDistributions[i - 1].DayTypeDistributions[j - 1].MaxRange) + 1;
dd.MaxRange = (int)(dd.CummProbability * 100);
}
mySystem.DemandDistributions[i].DayTypeDistributions.Add(dd);
cnt++;
}
}
}
/// <summary>
/// Calculates a single row in the distribution table
/// </summary>
/// <param name="Current">The current row</param>
/// <param name="Previous">The previous row</param>
/// <param name="RandomNumber">The random number that selects a row in the distribution</param>
/// <returns>True if random number falls in range of Current row, false otherwise</returns>
static private bool CalculateSingleRowDistribution(DayTypeDistribution Current, DayTypeDistribution Previous, int RandomNumber)
{
if (!Current.IsCalculated)
{
if (Previous == null)
{
Current.CummProbability = Current.Probability;
Current.MinRange = 1;
}
else
{
Current.CummProbability = Current.Probability + Previous.CummProbability;
Current.MinRange = Previous.MaxRange + 1;
}
Current.MaxRange = (int)(Current.CummProbability * 100);
Current.IsCalculated = true;
}
if (RandomNumber <= Current.MaxRange && RandomNumber >= Current.MinRange)
{
return(true);
}
return(false);
}
private void read_data_Click(object sender, EventArgs e)
{
string test = "", filename = "";
test = testcase.Text.ToString();
filename = @"C:\Users\Mahmoud\Desktop\Task2\Template\NewspaperSellerSimulation\TestCases\TestCase" + test[0] + ".txt";
if (File.Exists(filename))
{
string text = System.IO.File.ReadAllText(filename);
DayTypeDistribution D = new DayTypeDistribution();
string[] lines = System.IO.File.ReadAllLines(filename);
for (int i = 0; i < lines.Length; i++)
{
if (lines[i] == "NumOfNewspapers")
{
i++;
simulationSystem.NumOfNewspapers = Convert.ToInt32(lines[i]);
}
if (lines[i] == "NumOfRecords")
{
i++;
simulationSystem.NumOfRecords = Convert.ToInt32(lines[i]);
}
if (lines[i] == "PurchasePrice")
{
i++;
simulationSystem.PurchasePrice = Convert.ToDecimal(lines[i]);
}
if (lines[i] == "ScrapPrice")
{
i++;
simulationSystem.ScrapPrice = Convert.ToDecimal(lines[i]);
}
if (lines[i] == "SellingPrice")
{
i++;
simulationSystem.SellingPrice = Convert.ToDecimal(lines[i]);
}
if (lines[i] == "DayTypeDistributions")
{
i++;
string[] DayTypeD;
DayTypeD = lines[i].Split(',');
DayTypeD[1] = DayTypeD[1].Remove(0, 1);
DayTypeD[2] = DayTypeD[2].Remove(0, 1);
D = new DayTypeDistribution();
D.DayType = Enums.DayType.Good;
D.Probability = Convert.ToDecimal(DayTypeD[0]);
simulationSystem.DayTypeDistributions.Add(D);
D = new DayTypeDistribution();
D.DayType = Enums.DayType.Fair;
D.Probability = Convert.ToDecimal(DayTypeD[1]);
simulationSystem.DayTypeDistributions.Add(D);
D = new DayTypeDistribution();
D.DayType = Enums.DayType.Poor;
D.Probability = Convert.ToDecimal(DayTypeD[2]);
simulationSystem.DayTypeDistributions.Add(D);
}
if (lines[i] == "DemandDistributions")
{
i++;
string[] DemandDist;
DemandDistribution demDist;
bool firstTime = true;
while (i < lines.Length)
{
demDist = new DemandDistribution();
DemandDist = lines[i].Split(',');
demDist.Demand = Convert.ToInt32(DemandDist[0]);
for (int j = 1; j < DemandDist.Length; j++)
{
D = new DayTypeDistribution();
DemandDist[j].Remove(0, 1);
if (j == 1)
{
D.DayType = Enums.DayType.Good;
}
else if (j == 2)
{
D.DayType = Enums.DayType.Fair;
}
else
{
D.DayType = Enums.DayType.Poor;
}
D.Probability = Convert.ToDecimal(DemandDist[j]);
demDist.DayTypeDistributions.Add(D);
}
simulationSystem.DemandDistributions.Add(demDist);
i++;
}
}
}
MessageBox.Show("file has been read successfully");
}
else
{
MessageBox.Show("error in reading file");
}
}
private void button1_Click(object sender, EventArgs e)
{
sys = new SimulationSystem();
// pass inputs to the system object
sys.NumOfNewspapers = Convert.ToInt32(numOfNewspapers_txt.Text);
sys.NumOfRecords = Convert.ToInt32(numOfRecords_txt.Text);
sys.PurchasePrice = Convert.ToDecimal(purchasePrice_txt.Text);
sys.SellingPrice = Convert.ToDecimal(sellingPrice_txt.Text);
sys.ScrapPrice = Convert.ToDecimal(scrapPrice_txt.Text);
DayTypeDistribution goodDist, fairDist, poorDist;
goodDist = new DayTypeDistribution {
DayType = Enums.DayType.Good,
Probability = Convert.ToDecimal(good_txt.Text)
};
sys.DayTypeDistributions.Add(goodDist);
fairDist = new DayTypeDistribution
{
DayType = Enums.DayType.Fair,
Probability = Convert.ToDecimal(fair_txt.Text)
};
sys.DayTypeDistributions.Add(fairDist);
poorDist = new DayTypeDistribution
{
DayType = Enums.DayType.Poor,
Probability = Convert.ToDecimal(poor_txt.Text)
};
sys.DayTypeDistributions.Add(poorDist);
int numOfdemandDists = demandDists_dgv.Rows.Count - 1;
DemandDistribution demandDist;
DayTypeDistribution dayDist;
for (int i = 0; i < numOfdemandDists; i++)
{
demandDist = new DemandDistribution();
demandDist.Demand = Convert.ToInt32(demandDists_dgv.Rows[i].Cells[0].Value);
for (int j = 0; j < sys.DayTypeDistributions.Count; j++)
{
dayDist = new DayTypeDistribution();
dayDist.DayType = sys.DayTypeDistributions[j].DayType;
dayDist.Probability = Convert.ToDecimal(demandDists_dgv.Rows[i].Cells[j + 1].Value);
demandDist.DayTypeDistributions.Add(dayDist);
}
sys.DemandDistributions.Add(demandDist);
}
// call process functions
sys.Initialize_Inputs();
sys.Start_Process();
// fill gui with result data
results_dgv.Rows.Clear();
foreach (var record in sys.SimulationTable)
{
results_dgv.Rows.Add(record.DayNo, record.RandomNewsDayType, record.NewsDayType.ToString(), record.RandomDemand, record.Demand, record.SalesProfit, record.LostProfit, record.ScrapProfit, record.DailyNetProfit);
}
}
public PredefinedNewsDayDistributionForm()
{
InitializeComponent();
d = new DayTypeDistribution();
DaysDistributions = new List <DayTypeDistribution>();
}
public void fillSimSysObj(string[] sysData)
{
simSys.NumOfNewspapers = Convert.ToInt32(sysData[1]);
simSys.NumOfRecords = Convert.ToInt32(sysData[4]);
simSys.PurchasePrice = Convert.ToDecimal(sysData[7]);
simSys.ScrapPrice = Convert.ToDecimal(sysData[10]);
simSys.SellingPrice = Convert.ToDecimal(sysData[13]);
//DayTypeDistributionTable
string[] Day_line = sysData[16].Split(new string[] { ", " }, StringSplitOptions.None);
for (int j = 0; j < 3; j++)
{
DayTypeDistribution dayTypeDistributionRow = new DayTypeDistribution();
if (j == 0)
{
dayTypeDistributionRow.DayType = Enums.DayType.Good;
}
else if (j == 1)
{
dayTypeDistributionRow.DayType = Enums.DayType.Fair;
}
else if (j == 2)
{
dayTypeDistributionRow.DayType = Enums.DayType.Poor;
}
dayTypeDistributionRow.Probability = Convert.ToDecimal(Day_line[j]);
simSys.DayTypeDistributions.Add(dayTypeDistributionRow);
//lsaaa
}
int i = 19;
while (i < sysData.Count())
{
string[] Demand_line = sysData[i].Split(new string[] { ", " }, StringSplitOptions.None);
DemandDistribution demandDistributionRow = new DemandDistribution();
demandDistributionRow.Demand = Convert.ToInt32(Demand_line[0]);
for (int j = 1; j <= 3; j++)
{
DayTypeDistribution dayTypeDistributionRow = new DayTypeDistribution();
if (j == 1)
{
dayTypeDistributionRow.DayType = Enums.DayType.Good;
}
if (j == 2)
{
dayTypeDistributionRow.DayType = Enums.DayType.Fair;
}
if (j == 3)
{
dayTypeDistributionRow.DayType = Enums.DayType.Poor;
}
dayTypeDistributionRow.Probability = Convert.ToDecimal(Demand_line[j]);
demandDistributionRow.DayTypeDistributions.Add(dayTypeDistributionRow);
}
simSys.DemandDistributions.Add(demandDistributionRow);
i++;
}
}
