mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-18 02:28:05 +00:00
- 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.
277 lines
8.5 KiB
C#
277 lines
8.5 KiB
C#
using System;
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using Xunit;
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namespace QuanTAlib.Tests;
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public class WmaCoverageTests
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{
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[Fact]
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public void Wma_ResyncLogic_IsTriggeredAndCorrect()
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{
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// ResyncInterval is 1000. We need more than that to trigger it.
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int count = 2500;
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int period = 10;
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var wma = new Wma(period);
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// Use a constant value to make verification easy
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// WMA of constant X is X
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double constantValue = 100.0;
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for (int i = 0; i < count; i++)
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{
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wma.Update(new TValue(DateTime.UtcNow, constantValue));
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// After warmup, value should always be constantValue
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if (i >= period)
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{
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Assert.Equal(constantValue, wma.Last.Value, 1e-9);
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}
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}
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}
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[Fact]
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public void Wma_SpanCalc_LargeDataset_TriggersResync()
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{
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// ResyncInterval is 1000.
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int count = 5000;
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int period = 10;
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double[] source = new double[count];
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double[] output = new double[count];
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// Fill with constant value
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for (int i = 0; i < count; i++)
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{
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source[i] = 100.0;
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}
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Wma.Calculate(source.AsSpan(), output.AsSpan(), period);
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// Verify all outputs after warmup are correct
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for (int i = period; i < count; i++)
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{
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Assert.Equal(100.0, output[i], 1e-9);
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}
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}
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[Fact]
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public void Wma_SpanCalc_SimdThreshold_Boundary()
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{
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// SimdThreshold is 256.
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// Test just below and just above to ensure both paths work
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int[] lengths = { 250, 256, 260 };
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int period = 10;
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foreach (int len in lengths)
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{
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double[] source = new double[len];
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double[] output = new double[len];
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for (int i = 0; i < len; i++) source[i] = 100.0;
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Wma.Calculate(source.AsSpan(), output.AsSpan(), period);
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Assert.Equal(100.0, output[^1], 1e-9);
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}
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}
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[Fact]
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public void Wma_SpanCalc_Simd_WithResync()
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{
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// This targets the SIMD loop with resync
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// Need length > SimdThreshold (256) and enough data to hit ResyncInterval (1000)
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// But wait, the SIMD loop in CalculateSimdCore handles resync internally.
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// The loop structure is:
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// while (idx < simdEnd)
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// nextSync = Math.Min(simdEnd, idx + ResyncInterval)
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// ... process blocks ...
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int count = 3000;
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int period = 5;
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double[] source = new double[count];
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double[] output = new double[count];
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// Use a pattern that isn't constant to verify calculation accuracy
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// Linear increase: 0, 1, 2, ...
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for (int i = 0; i < count; i++) source[i] = i;
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Wma.Calculate(source.AsSpan(), output.AsSpan(), period);
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// Verify a few points
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// WMA(5) of x-4, x-3, x-2, x-1, x
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// = (1*(x-4) + 2*(x-3) + 3*(x-2) + 4*(x-1) + 5*x) / 15
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// = (x-4 + 2x-6 + 3x-6 + 4x-4 + 5x) / 15
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// = (15x - 20) / 15
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// = x - 20/15 = x - 1.333...
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for (int i = period; i < count; i++)
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{
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double expected = i - (20.0 / 15.0);
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Assert.Equal(expected, output[i], 1e-9);
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}
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}
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[Fact]
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public void Wma_Update_Resync_WithFloatingPointDrift()
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{
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// This test tries to accumulate error and see if resync fixes it (or at least doesn't break it)
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// It's hard to deterministically cause drift, but we can ensure the code path is executed.
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int period = 10;
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var wma = new Wma(period);
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// 1200 updates to trigger resync (at 1000)
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for (int i = 0; i < 1200; i++)
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{
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wma.Update(new TValue(DateTime.UtcNow, 1.0));
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}
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Assert.Equal(1.0, wma.Last.Value, 1e-9);
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}
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[Fact]
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public void Wma_Constructor_ThrowsOnInvalidPeriod()
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{
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Assert.Throws<ArgumentException>(() => new Wma(0));
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Assert.Throws<ArgumentException>(() => new Wma(-1));
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}
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[Fact]
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public void Wma_StaticCalculate_ThrowsOnInvalidArgs()
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{
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double[] source = new double[10];
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double[] output = new double[5]; // Mismatch
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Assert.Throws<ArgumentException>(() => Wma.Calculate(source.AsSpan(), output.AsSpan(), 5));
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double[] output2 = new double[10];
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Assert.Throws<ArgumentException>(() => Wma.Calculate(source.AsSpan(), output2.AsSpan(), 0));
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}
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[Fact]
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public void Wma_Calculate_EmptyInput_DoesNothing()
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{
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Wma.Calculate(ReadOnlySpan<double>.Empty, Span<double>.Empty, 5);
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// Should not throw
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}
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[Fact]
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public void Wma_Update_WithNaN_UsesLastValid()
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{
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var wma = new Wma(5);
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wma.Update(new TValue(DateTime.UtcNow, 1.0));
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wma.Update(new TValue(DateTime.UtcNow, 2.0));
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wma.Update(new TValue(DateTime.UtcNow, double.NaN)); // Should use 2.0
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// Buffer: 1, 2, 2
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// WMA(3) = (1*1 + 2*2 + 3*2) / 6 = (1 + 4 + 6) / 6 = 11/6 = 1.8333...
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// Wait, period is 5.
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// Buffer: 1, 2, 2
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// Sum = 5, WSum = 1*1 + 2*2 + 3*2 = 11
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// Divisor = 3*4/2 = 6
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// Result = 11/6
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Assert.Equal(11.0/6.0, wma.Last.Value, 1e-9);
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}
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[Fact]
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public void Wma_Update_IsNewFalse_UpdatesLastValue()
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{
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var wma = new Wma(3);
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wma.Update(new TValue(DateTime.UtcNow, 1.0));
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wma.Update(new TValue(DateTime.UtcNow, 2.0));
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// Update existing with 3.0 (replaces 2.0)
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wma.Update(new TValue(DateTime.UtcNow, 3.0), isNew: false);
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// Buffer should be: 1, 3
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// Sum = 4, WSum = 1*1 + 2*3 = 7
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// Divisor = 2*3/2 = 3
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// Result = 7/3 = 2.333...
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Assert.Equal(7.0/3.0, wma.Last.Value, 1e-9);
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}
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[Fact]
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public void Wma_TSeries_Empty_ReturnsEmpty()
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{
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var wma = new Wma(5);
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var result = wma.Update(new TSeries());
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Assert.Empty(result);
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}
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[Fact]
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public void Wma_TSeries_WithNaN_RestoresStateCorrectly()
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{
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// This tests the state restoration logic in Update(TSeries)
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// specifically the loop that looks for _lastValidValue
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var wma = new Wma(3);
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var series = new TSeries();
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series.Add(new TValue(DateTime.UtcNow, 1.0));
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series.Add(new TValue(DateTime.UtcNow, 2.0));
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series.Add(new TValue(DateTime.UtcNow, double.NaN));
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series.Add(new TValue(DateTime.UtcNow, 4.0));
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wma.Update(series);
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// After processing series, internal state should match having processed these sequentially
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// Last value was 4.0. Previous valid was 2.0 (since NaN used 2.0).
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// Buffer: 2.0, 2.0 (from NaN), 4.0
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// Let's add one more value to verify state is correct
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wma.Update(new TValue(DateTime.UtcNow, 5.0));
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// Buffer: 2.0, 4.0, 5.0
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// WMA(3) = (1*2 + 2*4 + 3*5) / 6 = (2 + 8 + 15) / 6 = 25/6 = 4.1666...
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Assert.Equal(25.0/6.0, wma.Last.Value, 1e-9);
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}
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[Fact]
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public void Wma_Reset_ClearsState()
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{
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var wma = new Wma(3);
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wma.Update(new TValue(DateTime.UtcNow, 1.0));
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wma.Update(new TValue(DateTime.UtcNow, 2.0));
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wma.Update(new TValue(DateTime.UtcNow, 3.0));
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wma.Reset();
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Assert.Equal(0, wma.Last.Value);
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// Start fresh
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wma.Update(new TValue(DateTime.UtcNow, 10.0));
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// Buffer: 10
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// WMA = 10
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Assert.Equal(10.0, wma.Last.Value);
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}
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[Fact]
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public void Wma_Calculate_ScalarFallback_WithNaN()
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{
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// Force scalar path by including NaN, even with large dataset
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int count = 1000;
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double[] source = new double[count];
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double[] output = new double[count];
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for (int i = 0; i < count; i++) source[i] = 1.0;
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source[500] = double.NaN; // This should trigger HasNonFiniteValues -> true
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Wma.Calculate(source.AsSpan(), output.AsSpan(), 10);
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// Check around the NaN
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// Index 500 is NaN, so it uses previous valid (1.0)
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// So effectively the stream is all 1.0s
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Assert.Equal(1.0, output[500], 1e-9);
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Assert.Equal(1.0, output[501], 1e-9);
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}
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[Fact]
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public void Wma_Constructor_WithSource_Subscribes()
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{
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var source = new Wma(10); // Just using Wma as a publisher
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var wma = new Wma(source, 5);
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source.Update(new TValue(DateTime.UtcNow, 10.0));
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Assert.Equal(10.0, wma.Last.Value);
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}
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}
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