public void CanDoDistributionArithmetic()
{
var facts1 = new FingerprintDistribution(new Dictionary <Fingerprint, int>()
{
{ Fingerprint.V1, 9 },
{ Fingerprint.V2, 10 },
{ (Fingerprint.V1 | Fingerprint.SpendFromP2WPKH), 11 },
});
var facts2 = new FingerprintDistribution(new Dictionary <Fingerprint, int>()
{
{ Fingerprint.V1, 19 },
{ Fingerprint.V2, 11 },
{ (Fingerprint.V1 | Fingerprint.SpendFromP2WPKH), 41 },
});
var fact3 = facts1 + facts2;
Assert.Equal(9 + 10 + 11 + 19 + 11 + 41, fact3.TotalCount);
Assert.Equal(9 + 19, fact3.GetFingerprintCount(Fingerprint.V1));
Assert.Equal(10 + 11, fact3.GetFingerprintCount(Fingerprint.V2));
Assert.Equal(11 + 41, fact3.GetFingerprintCount(Fingerprint.V1 | Fingerprint.SpendFromP2WPKH));
Assert.Equal(0, fact3.GetFingerprintCount(Fingerprint.RBF));
fact3 = fact3 - facts1;
Assert.Equal(19 + 11 + 41, fact3.TotalCount);
Assert.Equal(19, fact3.GetFingerprintCount(Fingerprint.V1));
Assert.Equal(11, fact3.GetFingerprintCount(Fingerprint.V2));
Assert.Equal(41, fact3.GetFingerprintCount(Fingerprint.V1 | Fingerprint.SpendFromP2WPKH));
Assert.Equal(0, fact3.GetFingerprintCount(Fingerprint.RBF));
}
public async Task GenerateDefaultDistribution()
{
var block = await GetBlock("0000000000000000000a5296b687eb7edadeb95952fc37c564418a189e16a3f0");
var facts = FingerprintDistribution.Calculate(block);
var maxSizeLabel = facts.RawDistribution.Select(f => f.Key.ToString().Length).Max();
foreach (var kv in facts.RawDistribution.OrderByDescending(k => k.Value))
{
Log.WriteLine($"{{ Fingerprint.{kv.Key.ToString().Replace(", ", " | Fingerprint.")}, {kv.Value} }},");
}
}
public async Task CanCalculateBlockStats()
{
var block = await GetBlock("0000000000000000000a5296b687eb7edadeb95952fc37c564418a189e16a3f0");
var facts = FingerprintDistribution.Calculate(block);
var maxSizeLabel = facts.RawDistribution.Select(f => f.Key.ToString().Length).Max();
foreach (var kv in facts.RawDistribution.OrderByDescending(k => k.Value))
{
Log.WriteLine(kv.Key.ToString().PadRight(maxSizeLabel) + "|" + $"{kv.Value}".PadRight(5) + "".PadRight(kv.Value, '*'));
}
}
public void CheckConsistent()
{
var facts = new FingerprintDistribution(new Dictionary <Fingerprint, int>()
{
{ Fingerprint.V1, 9 },
{ Fingerprint.V2, 10 },
{ (Fingerprint.V1 | Fingerprint.SpendFromP2WPKH), 11 },
});
Assert.Equal(30, facts.TotalCount);
Assert.Equal(20.0 / 30.0, facts.GetProbabilityOf((Fingerprint.V1, true)));
Assert.Equal(11.0 / 30.0, facts.GetProbabilityOf((Fingerprint.V1, true), (Fingerprint.SpendFromP2WPKH, true)));
Assert.Equal(9.0 / 30.0, facts.GetProbabilityOf((Fingerprint.V1, true), (Fingerprint.SpendFromP2WPKH, false)));
var originalFacts = facts;
facts = facts.KnowingThat((Fingerprint.V1, true));
Assert.Equal(20, facts.TotalCount);
Assert.Equal(1.0, facts.GetProbabilityOf((Fingerprint.V1, true)));
Assert.Equal(11.0 / 20.0, facts.GetProbabilityOf((Fingerprint.SpendFromP2WPKH, true)));
facts = originalFacts;
facts = facts.KnowingThat((Fingerprint.V2, false));
Assert.Equal(20, facts.TotalCount);
Assert.Equal(1.0, facts.GetProbabilityOf((Fingerprint.V1, true)));
Assert.Equal(11.0 / 20.0, facts.GetProbabilityOf((Fingerprint.SpendFromP2WPKH, true)));
facts = new FingerprintDistribution(new Dictionary <Fingerprint, int>()
{
{ Fingerprint.V1, 9 },
{ Fingerprint.V2, 10 },
{ (Fingerprint.V1 | Fingerprint.SpendFromP2WPKH), 111 },
});
Random r = new Random();
var randomPicks = Enumerable
.Range(0, 100_000)
.Select(_ => facts.PickFingerprint(r))
.GroupBy(f => f)
.ToDictionary(f => f.Key, f => f.Count());
Assert.Equal(9.0 / 130.0, (double)randomPicks[Fingerprint.V1] / 100_000, 1);
Assert.Equal(10.0 / 130.0, (double)randomPicks[Fingerprint.V2] / 100_000, 1);
Assert.Equal(111.0 / 130.0, (double)randomPicks[(Fingerprint.V1 | Fingerprint.SpendFromP2WPKH)] / 100_000, 1);
}
