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https://github.com/mihakralj/QuanTAlib.git
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157 lines
4.2 KiB
C#
157 lines
4.2 KiB
C#
using Xunit;
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namespace QuanTAlib.Tests;
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#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
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public class DemaTests
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{
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[Fact]
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public void Dema_Matches_ManualCalculation()
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{
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// Arrange
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int period = 10;
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var dema = new Dema(period);
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var ema1 = new Ema(period);
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var ema2 = new Ema(period);
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var r = new Random(123); // nosemgrep
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// Act & Assert
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for (int i = 0; i < 100; i++)
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{
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double val = r.NextDouble() * 100;
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var tVal = new TValue(DateTime.Now.AddMinutes(i), val);
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var dVal = dema.Update(tVal);
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var e1Val = ema1.Update(tVal);
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var e2Val = ema2.Update(e1Val);
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double expected = 2 * e1Val.Value - e2Val.Value;
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Assert.Equal(expected, dVal.Value, 1e-9);
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}
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}
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[Fact]
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public void StaticCalculate_Matches_ObjectUpdate()
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{
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// Arrange
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int period = 10;
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var source = new TSeries();
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var r = new Random(123); // nosemgrep
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for (int i = 0; i < 100; i++)
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{
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source.Add(new TValue(DateTime.Now.AddMinutes(i), r.NextDouble() * 100));
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}
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// Act
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var demaSeries = Dema.Calculate(source, period);
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var demaObj = new Dema(period);
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// Assert
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for (int i = 0; i < source.Count; i++)
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{
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var val = demaObj.Update(source[i]);
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Assert.Equal(val.Value, demaSeries[i].Value, 1e-9);
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}
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}
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[Fact]
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public void ZeroAllocCalculate_Matches_ObjectUpdate()
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{
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// Arrange
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int period = 10;
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int count = 100;
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var source = new double[count];
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var output = new double[count];
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var r = new Random(123); // nosemgrep
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for (int i = 0; i < count; i++)
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{
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source[i] = r.NextDouble() * 100;
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}
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// Act
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Dema.Calculate(source, output, period);
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var demaObj = new Dema(period);
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// Assert
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for (int i = 0; i < count; i++)
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{
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var val = demaObj.Update(new TValue(DateTime.Now, source[i]));
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Assert.Equal(val.Value, output[i], 1e-9);
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}
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}
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[Fact]
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public void Alpha_Constructor_Matches_Period_Constructor()
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{
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// Arrange
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int period = 10;
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double alpha = 2.0 / (period + 1);
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var demaPeriod = new Dema(period);
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var demaAlpha = new Dema(alpha);
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var r = new Random(123); // nosemgrep
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// Act & Assert
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for (int i = 0; i < 100; i++)
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{
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double val = r.NextDouble() * 100;
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var tVal = new TValue(DateTime.Now.AddMinutes(i), val);
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var pVal = demaPeriod.Update(tVal);
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var aVal = demaAlpha.Update(tVal);
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Assert.Equal(pVal.Value, aVal.Value, 1e-9);
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}
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}
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[Fact]
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public void StaticCalculate_Alpha_Matches_ObjectUpdate()
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{
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// Arrange
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double alpha = 0.15;
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var source = new TSeries();
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var r = new Random(123); // nosemgrep
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for (int i = 0; i < 100; i++)
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{
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source.Add(new TValue(DateTime.Now.AddMinutes(i), r.NextDouble() * 100));
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}
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// Act
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var demaSeries = Dema.Calculate(source, alpha);
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var demaObj = new Dema(alpha);
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// Assert
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for (int i = 0; i < source.Count; i++)
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{
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var val = demaObj.Update(source[i]);
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Assert.Equal(val.Value, demaSeries[i].Value, 1e-9);
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}
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}
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[Fact]
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public void ZeroAllocCalculate_Alpha_Matches_ObjectUpdate()
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{
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// Arrange
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double alpha = 0.15;
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int count = 100;
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var source = new double[count];
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var output = new double[count];
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var r = new Random(123); // nosemgrep
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for (int i = 0; i < count; i++)
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{
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source[i] = r.NextDouble() * 100;
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}
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// Act
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Dema.Calculate(source, output, alpha);
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var demaObj = new Dema(alpha);
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// Assert
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for (int i = 0; i < count; i++)
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{
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var val = demaObj.Update(new TValue(DateTime.Now, source[i]));
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Assert.Equal(val.Value, output[i], 1e-9);
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}
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}
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}
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