public void TestBlockSelecter(int freqency, int iFrequency)
{
BlockSelecter selecter = new BlockSelecter(freqency, iFrequency);
var sResult = selecter.Sample();
sResult.Should().NotBeNull();
selecter.BlockState.Should().NotBeEmpty();
}
protected void ValidateBlockSelecter(BlockSelecter selecter, int freq, int iFreq, int numSamples, int blockMarginOfError = BLOCK_SAMPLING_MARGIN_OF_ERROR)
{
int[] results = new int[numSamples];
int totalSamples = 0;
int totalISamples = 0;
for (int i = 0; i < numSamples; i++)
{
var result = selecter.Sample();
if (result == SampleResult.M)
{
results[i] = 1;
totalSamples++;
}
else if (result == SampleResult.I)
{
results[i] = 2;
totalISamples++;
}
else
{
results[i] = 0;
}
}
selecter.ITreeFrequency.ShouldBeEquivalentTo(iFreq);
//this.TestContext.WriteLine(" numsamples = {0}", numSamples.ToString());
//this.TestContext.WriteLine("total samples = {0}", totalSamples.ToString());
//this.TestContext.WriteLine("total Isamples = {0}", totalISamples.ToString());
decimal observedFreq = (totalSamples / (decimal)numSamples);
decimal observediFreq = (totalISamples / (decimal)numSamples);
var expectedSamples = numSamples / freq;
// if we are sampleing insurance trees then some regualr samples will get converted
// into insurance samples, so we need to ajust expected samples to account for insuance trees
var expectedITrees = (iFreq > 0) ? numSamples / (iFreq * freq) : 0;
Math.Abs(expectedSamples - totalSamples)
.Should().BeLessOrEqualTo(blockMarginOfError, $"expected samples:{expectedSamples} actual samples {totalSamples}"); // difference between actual samples and expected should be less than 1, allowing for rounding errors
if (iFreq > 0)
{
var iSampleMarginOfError = Math.Max(blockMarginOfError / iFreq, 1);
Math.Abs(expectedITrees - totalISamples)
.Should().BeLessOrEqualTo(iSampleMarginOfError, $"expected i samples:{expectedITrees} actual i samples:{totalISamples}");
}
}
public void BlockSelecter_Rehidrate_AfterSample(int freqency, int iFrequency)
{
BlockSelecter selecter = new BlockSelecter(freqency, iFrequency);
selecter.Sample();
var selecterAgian = new BlockSelecter(selecter.Frequency,
selecter.ITreeFrequency,
selecter.BlockState,
selecter.Count,
selecter.InsuranceIndex,
selecter.InsuranceCounter);
}
public SampleResult Sample()
{
return(BlockSelecter.Sample());
}
