static void Main(string[] args)
{
Console.WriteLine("Pi is: 3.14159265358979323846... according to Wikipedia");
// how many 'darts' do we throw at the circle/square
int darts = 1000000000;
// Let the JIT compilation kick in.
MonteCarloPi.Estimate(10000000);
MonteCarloPi.ParallelEstimate(10000000);
Console.WriteLine("Calculating pi using 1 core");
long start = DateTime.Now.Ticks;
double seqResult = MonteCarloPi.Estimate(darts, 1);
long t1 = DateTime.Now.Ticks - start;
Console.WriteLine(seqResult + " calculated in " + t1 / 1E4 + " ms");
Console.WriteLine("Calculating pi using " + Manager.ProcessorCount + " core(s)");
start = DateTime.Now.Ticks;
double parResult = MonteCarloPi.ParallelEstimate(darts);
long t2 = DateTime.Now.Ticks - start;
Console.WriteLine(parResult + " calculated in " + t2 / 1E4 + " ms");
Console.WriteLine("Speed up: " + (double)t1 / t2);
Console.Read();
}
public override Double Run()
{
// We use the reduce method to distribute work to 'procCount' tasks
// and combine the results.
// The grainSize parameter is 1 => one task for each iteration.
double sum = Parallel.Reduce <double>(0, procCount, 0.0, 1,
delegate(int i) { return(MonteCarloPi.Estimate(iterations, i)); },
delegate(double op1, double op2) { return(op1 + op2); });
return(sum / procCount);
}
public void IsPointInCircle_ReturnsTrueOrFalse(decimal x, decimal y, bool expectedInCircle)
{
var point = new MonteCarloPi.Point {
X = x, Y = y
};
var monteCarloPi = new MonteCarloPi();
var actualIsPointInCircle = monteCarloPi.IsPointInCircle(point);
actualIsPointInCircle.Should().Be(expectedInCircle);
}
public void GetRandomPoint_ReturnsPoint()
{
var randomPoint = new MonteCarloPi().GetRandomPoint();
randomPoint.Should().NotBeNull();
}
public void CalculatePi()
{
var pi = new MonteCarloPi().CalculatePi(100000);
_testOutputHelper.WriteLine("pi: " + pi.ToString("0.000"));
}
