mirror of
https://github.com/mihakralj/QuanTAlib.git
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deepsource-autofix[bot]
85b9d9217a
This commit fixes the style issues introduced in 931bbdb according to the output
from dotnet-format.
Details: https://github.com/mihakralj/QuanTAlib/pull/30
75 lines
2.8 KiB
C#
75 lines
2.8 KiB
C#
using Xunit;
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namespace QuanTAlib;
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public class EventingTests
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{
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[Fact]
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public void VerifyEventBasedCalculations()
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{
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// Create a random number generator with a fixed seed for reproducibility
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var random = new Random(42);
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// Create an input series to hold our random values
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var input = new TSeries();
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int p = 10;
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// Create a list of indicator pairs (direct calculation and event-based)
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var indicators = new List<(AbstractBase Direct, AbstractBase EventBased)>
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{
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(new Afirma(p,p,Afirma.WindowType.BlackmanHarris), new Afirma(input, p,p,Afirma.WindowType.BlackmanHarris)),
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(new Alma(p), new Alma(input, p)),
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(new Convolution([1,2,3,2,1]), new Convolution(input, [1,2,3,2,1])),
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(new Dema(p), new Dema(input, p)),
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(new Dsma(p), new Dsma(input, p)),
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(new Dwma(p), new Dwma(input, p)),
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(new Ema(p), new Ema(input, p)),
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(new Epma(p), new Epma(input, p)),
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(new Frama(p), new Frama(input, p)),
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(new Fwma(p), new Fwma(input, p)),
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(new Gma(p), new Gma(input, p)),
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(new Hma(p), new Hma(input, p)),
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(new Htit(), new Htit(input)),
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(new Hwma(p), new Hwma(input, p)),
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(new Jma(p), new Jma(input, p)),
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(new Kama(p), new Kama(input, p)),
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(new Ltma(gamma: 0.2), new Ltma(input, gamma: 0.2)),
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(new Maaf(p), new Maaf(input, p)),
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(new Mama(p), new Mama(input, p)),
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(new Mgdi(p), new Mgdi(input, p)),
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(new Mma(p), new Mma(input, p)),
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(new Qema(k1: 0.2, k2: 0.2, k3: 0.2, k4: 0.2), new Qema(input, k1: 0.2, k2: 0.2, k3: 0.2, k4: 0.2)),
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(new Rema(p), new Rema(input, p)),
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(new Rma(p), new Rma(input, p)),
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(new Sma(p), new Sma(input, p)),
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(new Wma(p), new Wma(input, p)),
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(new Rma(p), new Rma(input, p)),
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(new Tema(p), new Tema(input, p)),
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(new Kama(2, 30, 6), new Kama(input, 2, 30, 6)),
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(new Zlema(p), new Zlema(input, p))
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};
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// Generate 200 random values and feed them to both direct and event-based indicators
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for (int i = 0; i< 200; i++)
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{
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double randomValue = random.NextDouble() * 100;
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input.Add(randomValue);
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// Calculate direct indicators
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foreach (var (direct, _) in indicators)
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{
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direct.Calc(randomValue);
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}
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}
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// Compare the results of direct and event-based calculations
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foreach (var (direct, eventBased) in indicators)
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{
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Assert.Equal(direct.Value, eventBased.Value, 9);
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}
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}
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}
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