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normalization of methods

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This commit is contained in:
Miha Kralj
2026-02-10 21:33:16 -08:00
parent 915d7a007b
commit 6d6259a47d
527 changed files with 10525 additions and 2123 deletions
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lib/trends_IIR/kama/Kama.Tests.cs
+5 -5
View File
@@ -86,7 +86,7 @@ public class KamaTests
var instanceResults = new Kama(10).Update(series);
var staticResults = new double[series.Count];
Kama.Calculate(series.Values.ToArray().AsSpan(), staticResults.AsSpan(), 10);
Kama.Batch(series.Values.ToArray().AsSpan(), staticResults.AsSpan(), 10);
for (int i = 0; i < instanceResults.Count; i++)
{
@@ -214,8 +214,8 @@ public class KamaTests
double[] output = new double[5];
double[] wrongSizeOutput = new double[3];
Assert.Throws<ArgumentException>(() => Kama.Calculate(source.AsSpan(), output.AsSpan(), 0));
Assert.Throws<ArgumentException>(() => Kama.Calculate(source.AsSpan(), wrongSizeOutput.AsSpan(), 3));
Assert.Throws<ArgumentException>(() => Kama.Batch(source.AsSpan(), output.AsSpan(), 0));
Assert.Throws<ArgumentException>(() => Kama.Batch(source.AsSpan(), wrongSizeOutput.AsSpan(), 3));
}
[Fact]
@@ -224,7 +224,7 @@ public class KamaTests
double[] source = [100, 110, double.NaN, 120, 130];
double[] output = new double[5];
Kama.Calculate(source.AsSpan(), output.AsSpan(), 3);
Kama.Batch(source.AsSpan(), output.AsSpan(), 3);
foreach (var val in output)
{
@@ -249,7 +249,7 @@ public class KamaTests
var tValues = series.Values.ToArray();
var spanInput = new ReadOnlySpan<double>(tValues);
var spanOutput = new double[tValues.Length];
Kama.Calculate(spanInput, spanOutput, period);
Kama.Batch(spanInput, spanOutput, period);
double spanResult = spanOutput[^1];
// 3. Streaming Mode
lib/trends_IIR/kama/Kama.Validation.Tests.cs
+1 -1
View File
@@ -97,7 +97,7 @@ public sealed class KamaValidationTests : IDisposable
{
// Calculate QuanTAlib KAMA (Span API)
double[] qOutput = new double[_testData.RawData.Length];
global::QuanTAlib.Kama.Calculate(_testData.RawData.Span, qOutput.AsSpan(), period, fastPeriod, slowPeriod);
global::QuanTAlib.Kama.Batch(_testData.RawData.Span, qOutput.AsSpan(), period, fastPeriod, slowPeriod);
// Calculate Skender KAMA
var sResult = _testData.SkenderQuotes.GetKama(period, fastPeriod, slowPeriod).ToList();
lib/trends_IIR/kama/Kama.cs
+9 -2
View File
@@ -239,7 +239,7 @@ public sealed class Kama : AbstractBase
return kama.Update(source);
}
public static void Calculate(ReadOnlySpan<double> source, Span<double> output, int period, int fastPeriod = 2, int slowPeriod = 30)
public static void Batch(ReadOnlySpan<double> source, Span<double> output, int period, int fastPeriod = 2, int slowPeriod = 30)
{
if (period <= 0)
{
@@ -363,6 +363,13 @@ public sealed class Kama : AbstractBase
}
}
public static (TSeries Results, Kama Indicator) Calculate(TSeries source, int period, int fastPeriod = 2, int slowPeriod = 30)
{
var indicator = new Kama(period, fastPeriod, slowPeriod);
TSeries results = indicator.Update(source);
return (results, indicator);
}
public override void Reset()
{
_buffer.Clear();
@@ -372,4 +379,4 @@ public sealed class Kama : AbstractBase
_p_state = _state;
Last = default;
}
}
}