static void Main(string[] args)
{
Random rand = new Random();
RobustSolitonDistribution distribution = new RobustSolitonDistribution(segmentsCount, 0.2, 0.05);
FileHandler handler = new FileHandler("results.txt", segmentsCount);
for (int i = 0; i < 100; i++)
{
int nextWeight = distribution.NextWeight(rand.NextDouble());
List<FileSegment> segments = handler.GetRandomSegments(nextWeight);
Coder coder = new Coder(segments);
CodedPiece codedPiece = coder.CodeSegments();
foreach (bool bit in codedPiece.CodedWord)
{
Debug.Write((bit ? 1 : 0));
}
Debug.WriteLine("");
}
//RobustSolitonDistribution distribution = new RobustSolitonDistribution(30, 0.2, 0.05);
//List<WeightProbability> zones = new List<WeightProbability>();
//Dictionary<int, int> howMuch = new Dictionary<int, int>();
//double random;
//for (int i = 1; i <= 100; i++)
//{
// double value = distribution.GetValue(i);
// WeightProbability prop = new WeightProbability(i, value);
// zones.Add(prop);
//}
//var cumulated = zones.Select(p => p.Probability).CumulativeSum().Select((i, index) => new { i, index });
//for (int j = 0; j < 5000; j++)
//{
// int weight = distribution.NextWeight(rand.NextDouble());
// if (howMuch.Keys.Contains(weight))
// {
// howMuch[weight]++;
// }
// else
// {
// howMuch[weight] = 1;
// }
//}
//StreamWriter writer = new StreamWriter("results2.txt");
//foreach (KeyValuePair<int, int> pair in howMuch.OrderBy(k => k.Key))
//{
// writer.WriteLine("{0},{1}", pair.Key, pair.Value);
//}
//writer.Close();
}
static void Main(string[] args)
{
Random rand = new Random();
RobustSolitonDistribution distribution = new RobustSolitonDistribution(segmentsCount, 0.2, 0.05);
FileHandler handler = new FileHandler("results.txt", segmentsCount);
for (int i = 0; i < 100; i++)
{
int nextWeight = distribution.NextWeight(rand.NextDouble());
List <FileSegment> segments = handler.GetRandomSegments(nextWeight);
Coder coder = new Coder(segments);
CodedPiece codedPiece = coder.CodeSegments();
foreach (bool bit in codedPiece.CodedWord)
{
Debug.Write((bit ? 1 : 0));
}
Debug.WriteLine("");
}
//RobustSolitonDistribution distribution = new RobustSolitonDistribution(30, 0.2, 0.05);
//List<WeightProbability> zones = new List<WeightProbability>();
//Dictionary<int, int> howMuch = new Dictionary<int, int>();
//double random;
//for (int i = 1; i <= 100; i++)
//{
// double value = distribution.GetValue(i);
// WeightProbability prop = new WeightProbability(i, value);
// zones.Add(prop);
//}
//var cumulated = zones.Select(p => p.Probability).CumulativeSum().Select((i, index) => new { i, index });
//for (int j = 0; j < 5000; j++)
//{
// int weight = distribution.NextWeight(rand.NextDouble());
// if (howMuch.Keys.Contains(weight))
// {
// howMuch[weight]++;
// }
// else
// {
// howMuch[weight] = 1;
// }
//}
//StreamWriter writer = new StreamWriter("results2.txt");
//foreach (KeyValuePair<int, int> pair in howMuch.OrderBy(k => k.Key))
//{
// writer.WriteLine("{0},{1}", pair.Key, pair.Value);
//}
//writer.Close();
}
