Files
QuanTAlib/lib/averages/wma/Wma.Coverage.Tests.cs
T
Miha Kralj 875998b288 Add eventing support to WMA indicator and implement unit tests for various indicators
- Enhanced WMA indicator with event-driven capabilities using ITValuePublisher interface.
- Created a new TODO file listing various indicators and their corresponding libraries.
- Added unit tests for DEMA, HMA, TEMA, and WMA indicators to ensure proper functionality.
- Implemented tests for handling new bars, ticks, and historical data updates across indicators.
- Verified that indicators correctly compute values and handle different source types.
2025-12-07 16:46:38 -08:00

277 lines
8.5 KiB
C#

using System;
using Xunit;
namespace QuanTAlib.Tests;
public class WmaCoverageTests
{
[Fact]
public void Wma_ResyncLogic_IsTriggeredAndCorrect()
{
// ResyncInterval is 1000. We need more than that to trigger it.
int count = 2500;
int period = 10;
var wma = new Wma(period);
// Use a constant value to make verification easy
// WMA of constant X is X
double constantValue = 100.0;
for (int i = 0; i < count; i++)
{
wma.Update(new TValue(DateTime.UtcNow, constantValue));
// After warmup, value should always be constantValue
if (i >= period)
{
Assert.Equal(constantValue, wma.Last.Value, 1e-9);
}
}
}
[Fact]
public void Wma_SpanCalc_LargeDataset_TriggersResync()
{
// ResyncInterval is 1000.
int count = 5000;
int period = 10;
double[] source = new double[count];
double[] output = new double[count];
// Fill with constant value
for (int i = 0; i < count; i++)
{
source[i] = 100.0;
}
Wma.Calculate(source.AsSpan(), output.AsSpan(), period);
// Verify all outputs after warmup are correct
for (int i = period; i < count; i++)
{
Assert.Equal(100.0, output[i], 1e-9);
}
}
[Fact]
public void Wma_SpanCalc_SimdThreshold_Boundary()
{
// SimdThreshold is 256.
// Test just below and just above to ensure both paths work
int[] lengths = { 250, 256, 260 };
int period = 10;
foreach (int len in lengths)
{
double[] source = new double[len];
double[] output = new double[len];
for (int i = 0; i < len; i++) source[i] = 100.0;
Wma.Calculate(source.AsSpan(), output.AsSpan(), period);
Assert.Equal(100.0, output[^1], 1e-9);
}
}
[Fact]
public void Wma_SpanCalc_Simd_WithResync()
{
// This targets the SIMD loop with resync
// Need length > SimdThreshold (256) and enough data to hit ResyncInterval (1000)
// But wait, the SIMD loop in CalculateSimdCore handles resync internally.
// The loop structure is:
// while (idx < simdEnd)
// nextSync = Math.Min(simdEnd, idx + ResyncInterval)
// ... process blocks ...
int count = 3000;
int period = 5;
double[] source = new double[count];
double[] output = new double[count];
// Use a pattern that isn't constant to verify calculation accuracy
// Linear increase: 0, 1, 2, ...
for (int i = 0; i < count; i++) source[i] = i;
Wma.Calculate(source.AsSpan(), output.AsSpan(), period);
// Verify a few points
// WMA(5) of x-4, x-3, x-2, x-1, x
// = (1*(x-4) + 2*(x-3) + 3*(x-2) + 4*(x-1) + 5*x) / 15
// = (x-4 + 2x-6 + 3x-6 + 4x-4 + 5x) / 15
// = (15x - 20) / 15
// = x - 20/15 = x - 1.333...
for (int i = period; i < count; i++)
{
double expected = i - (20.0 / 15.0);
Assert.Equal(expected, output[i], 1e-9);
}
}
[Fact]
public void Wma_Update_Resync_WithFloatingPointDrift()
{
// This test tries to accumulate error and see if resync fixes it (or at least doesn't break it)
// It's hard to deterministically cause drift, but we can ensure the code path is executed.
int period = 10;
var wma = new Wma(period);
// 1200 updates to trigger resync (at 1000)
for (int i = 0; i < 1200; i++)
{
wma.Update(new TValue(DateTime.UtcNow, 1.0));
}
Assert.Equal(1.0, wma.Last.Value, 1e-9);
}
[Fact]
public void Wma_Constructor_ThrowsOnInvalidPeriod()
{
Assert.Throws<ArgumentException>(() => new Wma(0));
Assert.Throws<ArgumentException>(() => new Wma(-1));
}
[Fact]
public void Wma_StaticCalculate_ThrowsOnInvalidArgs()
{
double[] source = new double[10];
double[] output = new double[5]; // Mismatch
Assert.Throws<ArgumentException>(() => Wma.Calculate(source.AsSpan(), output.AsSpan(), 5));
double[] output2 = new double[10];
Assert.Throws<ArgumentException>(() => Wma.Calculate(source.AsSpan(), output2.AsSpan(), 0));
}
[Fact]
public void Wma_Calculate_EmptyInput_DoesNothing()
{
Wma.Calculate(ReadOnlySpan<double>.Empty, Span<double>.Empty, 5);
// Should not throw
}
[Fact]
public void Wma_Update_WithNaN_UsesLastValid()
{
var wma = new Wma(5);
wma.Update(new TValue(DateTime.UtcNow, 1.0));
wma.Update(new TValue(DateTime.UtcNow, 2.0));
wma.Update(new TValue(DateTime.UtcNow, double.NaN)); // Should use 2.0
// Buffer: 1, 2, 2
// WMA(3) = (1*1 + 2*2 + 3*2) / 6 = (1 + 4 + 6) / 6 = 11/6 = 1.8333...
// Wait, period is 5.
// Buffer: 1, 2, 2
// Sum = 5, WSum = 1*1 + 2*2 + 3*2 = 11
// Divisor = 3*4/2 = 6
// Result = 11/6
Assert.Equal(11.0/6.0, wma.Last.Value, 1e-9);
}
[Fact]
public void Wma_Update_IsNewFalse_UpdatesLastValue()
{
var wma = new Wma(3);
wma.Update(new TValue(DateTime.UtcNow, 1.0));
wma.Update(new TValue(DateTime.UtcNow, 2.0));
// Update existing with 3.0 (replaces 2.0)
wma.Update(new TValue(DateTime.UtcNow, 3.0), isNew: false);
// Buffer should be: 1, 3
// Sum = 4, WSum = 1*1 + 2*3 = 7
// Divisor = 2*3/2 = 3
// Result = 7/3 = 2.333...
Assert.Equal(7.0/3.0, wma.Last.Value, 1e-9);
}
[Fact]
public void Wma_TSeries_Empty_ReturnsEmpty()
{
var wma = new Wma(5);
var result = wma.Update(new TSeries());
Assert.Empty(result);
}
[Fact]
public void Wma_TSeries_WithNaN_RestoresStateCorrectly()
{
// This tests the state restoration logic in Update(TSeries)
// specifically the loop that looks for _lastValidValue
var wma = new Wma(3);
var series = new TSeries();
series.Add(new TValue(DateTime.UtcNow, 1.0));
series.Add(new TValue(DateTime.UtcNow, 2.0));
series.Add(new TValue(DateTime.UtcNow, double.NaN));
series.Add(new TValue(DateTime.UtcNow, 4.0));
wma.Update(series);
// After processing series, internal state should match having processed these sequentially
// Last value was 4.0. Previous valid was 2.0 (since NaN used 2.0).
// Buffer: 2.0, 2.0 (from NaN), 4.0
// Let's add one more value to verify state is correct
wma.Update(new TValue(DateTime.UtcNow, 5.0));
// Buffer: 2.0, 4.0, 5.0
// WMA(3) = (1*2 + 2*4 + 3*5) / 6 = (2 + 8 + 15) / 6 = 25/6 = 4.1666...
Assert.Equal(25.0/6.0, wma.Last.Value, 1e-9);
}
[Fact]
public void Wma_Reset_ClearsState()
{
var wma = new Wma(3);
wma.Update(new TValue(DateTime.UtcNow, 1.0));
wma.Update(new TValue(DateTime.UtcNow, 2.0));
wma.Update(new TValue(DateTime.UtcNow, 3.0));
wma.Reset();
Assert.Equal(0, wma.Last.Value);
// Start fresh
wma.Update(new TValue(DateTime.UtcNow, 10.0));
// Buffer: 10
// WMA = 10
Assert.Equal(10.0, wma.Last.Value);
}
[Fact]
public void Wma_Calculate_ScalarFallback_WithNaN()
{
// Force scalar path by including NaN, even with large dataset
int count = 1000;
double[] source = new double[count];
double[] output = new double[count];
for (int i = 0; i < count; i++) source[i] = 1.0;
source[500] = double.NaN; // This should trigger HasNonFiniteValues -> true
Wma.Calculate(source.AsSpan(), output.AsSpan(), 10);
// Check around the NaN
// Index 500 is NaN, so it uses previous valid (1.0)
// So effectively the stream is all 1.0s
Assert.Equal(1.0, output[500], 1e-9);
Assert.Equal(1.0, output[501], 1e-9);
}
[Fact]
public void Wma_Constructor_WithSource_Subscribes()
{
var source = new Wma(10); // Just using Wma as a publisher
var wma = new Wma(source, 5);
source.Update(new TValue(DateTime.UtcNow, 10.0));
Assert.Equal(10.0, wma.Last.Value);
}
}