Code:
using System;
using System.IO;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.String;
namespace JWGenetics
{
// instance Class
public class Prog
{
// public static void Main(string[] args)
static void Main()
{
Genetics jw = new Genetics();
jw.prog();
} // end main
} // end class prog
public class Genetics
{
//create list for sire data
public List<int> siregtype = new List<int>();
//create list for dam data
public List<int> damgtype = new List<int>();
public const int rows = 128;
public const int columns = 7;
// create lists for dictionaries
public List<int> colorslist = new List<int>();
public List<int> gtypelist = new List<int>();
// create sire & dam data 2D arrays
public int[,] siredata = new int[rows, columns];
public int[,] damdata = new int[rows, columns];
//create offspring 1D array
public int[] offspring = new int[14];
// create sire && dam 1D arrays
public int[] sire = new int[14];
public int[] dam = new int[14];
// create child 4D array
public int[, , ,] child = new int[color_counter, 4];
public Dictionary<string, int> colors = new Dictionary<string, int>();
public string color; //name
Dictionary<string, string> geneo = new Dictionary<string, string>();
public string gtype; //geneotype
// gene groups
public int Broken, Agouti, Brown, Colour, Dilute, Ext, Vienna;
// Vienna types flags
bool vienna = false; bool vm = false; bool vc = false;
//color flags
bool dilute = false; bool charlie = false; bool broken = false; bool rew = false;
// data holders
public int sen1, sen2, sa1, sa2, sb1, sb2, sc1, sc2, sd1, sd2, se1, se2, sv1, sv2;
public int den1, den2, da1, da2, db1, db2, dc1, dc2, dd1, dd2, de1, de2, dv1, dv2;
public char colorpct;
// declare counters //
public int sirecounter = 0;
public int damcounter = 0;
public int offspringcounter = 0;
public int totalcount = 0;
public int color_count = 0;
public static bool e_trap;
// main function
// start program run
public void program()
{
//housekeeping
// array setup variables for parseing combinations into the correct fields
Broken = (rows / 2);
Agouti = (Broken / 2);
Brown = (Agouti / 2);
Colour = (Brown / 2);
Dilute = (Colour / 2);
Ext = (Dilute / 2);
Vienna = (Ext / 2);
setup_sire();
setup_dam();
child_setup();
// child_calc(); // determine % of each pheneotype && output to screen
return;
}
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