mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-17 10:08:05 +00:00
- Added SmaVector class for calculating multiple SMAs in parallel using SIMD. - Introduced RingBuffer class for efficient circular buffer management with running sum. - Implemented unit tests for RingBuffer to ensure correctness and performance. - Enhanced Add method in RingBuffer to support bar correction semantics. - Added methods for calculating Min and Max using SIMD acceleration. - Improved performance with pinned memory and direct span access for SIMD compatibility.
363 lines
10 KiB
C#
363 lines
10 KiB
C#
using System;
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using Xunit;
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using QuanTAlib;
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namespace QuanTAlib.Tests;
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public class SmaTests
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{
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[Fact]
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public void Sma_Constructor_ValidatesInput()
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{
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Assert.Throws<ArgumentException>(() => new Sma(0));
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Assert.Throws<ArgumentException>(() => new Sma(-1));
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var sma = new Sma(10);
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Assert.NotNull(sma);
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}
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[Fact]
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public void Sma_Calc_ReturnsValue()
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{
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var sma = new Sma(10);
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Assert.Equal(0, sma.Value.Value);
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TValue result = sma.Update(new TValue(DateTime.UtcNow, 100));
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Assert.True(result.Value > 0);
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Assert.Equal(result.Value, sma.Value.Value);
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}
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[Fact]
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public void Sma_FirstValue_ReturnsItself()
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{
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var sma = new Sma(10);
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TValue result = sma.Update(new TValue(DateTime.UtcNow, 100));
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Assert.Equal(100.0, result.Value, 1e-10);
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}
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[Fact]
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public void Sma_Calc_IsNew_AcceptsParameter()
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{
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var sma = new Sma(10);
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sma.Update(new TValue(DateTime.UtcNow, 100), isNew: true);
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double value1 = sma.Value;
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sma.Update(new TValue(DateTime.UtcNow, 200), isNew: true);
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double value2 = sma.Value;
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// Values should change with new bars
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Assert.NotEqual(value1, value2);
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}
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[Fact]
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public void Sma_Calc_IsNew_False_UpdatesValue()
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{
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var sma = new Sma(10);
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sma.Update(new TValue(DateTime.UtcNow, 100));
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sma.Update(new TValue(DateTime.UtcNow, 110), isNew: true);
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double beforeUpdate = sma.Value;
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sma.Update(new TValue(DateTime.UtcNow, 120), isNew: false);
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double afterUpdate = sma.Value;
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// Update should change the value
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Assert.NotEqual(beforeUpdate, afterUpdate);
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}
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[Fact]
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public void Sma_Reset_ClearsState()
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{
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var sma = new Sma(10);
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sma.Update(new TValue(DateTime.UtcNow, 100));
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sma.Update(new TValue(DateTime.UtcNow, 105));
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double valueBefore = sma.Value;
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sma.Reset();
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Assert.Equal(0, sma.Value.Value);
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// After reset, should accept new values
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sma.Update(new TValue(DateTime.UtcNow, 50));
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Assert.NotEqual(0, sma.Value.Value);
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Assert.NotEqual(valueBefore, sma.Value.Value);
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}
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[Fact]
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public void Sma_Properties_Accessible()
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{
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var sma = new Sma(10);
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Assert.Equal(0, sma.Value.Value);
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Assert.False(sma.IsHot);
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sma.Update(new TValue(DateTime.UtcNow, 100));
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Assert.NotEqual(0, sma.Value.Value);
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}
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[Fact]
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public void Sma_IsHot_BecomesTrueWhenBufferFull()
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{
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var sma = new Sma(5);
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Assert.False(sma.IsHot);
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for (int i = 1; i <= 4; i++)
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{
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sma.Update(new TValue(DateTime.UtcNow, i * 10));
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Assert.False(sma.IsHot);
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}
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sma.Update(new TValue(DateTime.UtcNow, 50));
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Assert.True(sma.IsHot);
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}
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[Fact]
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public void Sma_CalculatesCorrectAverage()
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{
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var sma = new Sma(5);
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sma.Update(new TValue(DateTime.UtcNow, 10));
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sma.Update(new TValue(DateTime.UtcNow, 20));
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sma.Update(new TValue(DateTime.UtcNow, 30));
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sma.Update(new TValue(DateTime.UtcNow, 40));
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sma.Update(new TValue(DateTime.UtcNow, 50));
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// SMA(5) of 10,20,30,40,50 = 150/5 = 30
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Assert.Equal(30.0, sma.Value.Value, 1e-10);
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}
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[Fact]
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public void Sma_SlidingWindow_Works()
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{
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var sma = new Sma(3);
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sma.Update(new TValue(DateTime.UtcNow, 10));
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sma.Update(new TValue(DateTime.UtcNow, 20));
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sma.Update(new TValue(DateTime.UtcNow, 30));
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// SMA(3) of 10,20,30 = 60/3 = 20
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Assert.Equal(20.0, sma.Value.Value, 1e-10);
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sma.Update(new TValue(DateTime.UtcNow, 40));
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// SMA(3) of 20,30,40 = 90/3 = 30
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Assert.Equal(30.0, sma.Value.Value, 1e-10);
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sma.Update(new TValue(DateTime.UtcNow, 50));
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// SMA(3) of 30,40,50 = 120/3 = 40
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Assert.Equal(40.0, sma.Value.Value, 1e-10);
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}
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[Fact]
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public void Sma_IterativeCorrections_RestoreToOriginalState()
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{
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var sma = new Sma(5);
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var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
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// Feed 10 new values
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TValue tenthInput = default;
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for (int i = 0; i < 10; i++)
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{
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var bar = gbm.Next(isNew: true);
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tenthInput = new TValue(bar.Time, bar.Close);
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sma.Update(tenthInput, isNew: true);
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}
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// Remember SMA state after 10 values
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double smaAfterTen = sma.Value;
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// Generate 9 corrections with isNew=false (different values)
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for (int i = 0; i < 9; i++)
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{
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var bar = gbm.Next(isNew: false);
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sma.Update(new TValue(bar.Time, bar.Close), isNew: false);
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}
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// Feed the remembered 10th input again with isNew=false
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TValue finalSma = sma.Update(tenthInput, isNew: false);
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// SMA should match the original state after 10 values
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Assert.Equal(smaAfterTen, finalSma.Value, 1e-10);
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}
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[Fact]
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public void Sma_BatchCalc_MatchesIterativeCalc()
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{
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var smaIterative = new Sma(10);
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var smaBatch = new Sma(10);
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var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
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// Generate data
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var series = new TSeries();
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for (int i = 0; i < 100; i++)
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{
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var bar = gbm.Next(isNew: true);
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series.Add(bar.Time, bar.Close);
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}
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Assert.True(series.Count > 0);
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// Calculate iteratively
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var iterativeResults = new TSeries();
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foreach (var item in series)
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{
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iterativeResults.Add(smaIterative.Update(item));
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}
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// Calculate batch
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var batchResults = smaBatch.Update(series);
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// Compare
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Assert.Equal(iterativeResults.Count, batchResults.Count);
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for (int i = 0; i < iterativeResults.Count; i++)
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{
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Assert.Equal(iterativeResults[i].Value, batchResults[i].Value, 1e-10);
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Assert.Equal(iterativeResults[i].Time, batchResults[i].Time);
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}
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}
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[Fact]
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public void Sma_Result_ImplicitConversionToDouble()
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{
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var sma = new Sma(10);
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sma.Update(new TValue(DateTime.UtcNow, 100));
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// This should compile and work because TValue has implicit conversion to double
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double result = sma.Value;
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Assert.Equal(100.0, result, 1e-10);
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}
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[Fact]
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public void Sma_NaN_Input_UsesLastValidValue()
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{
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var sma = new Sma(5);
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// Feed some valid values
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sma.Update(new TValue(DateTime.UtcNow, 100));
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sma.Update(new TValue(DateTime.UtcNow, 110));
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// Feed NaN - should use last valid value (110)
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var resultAfterNaN = sma.Update(new TValue(DateTime.UtcNow, double.NaN));
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// Result should be finite (not NaN)
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Assert.True(double.IsFinite(resultAfterNaN.Value));
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Assert.NotEqual(0, resultAfterNaN.Value);
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}
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[Fact]
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public void Sma_Infinity_Input_UsesLastValidValue()
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{
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var sma = new Sma(5);
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// Feed some valid values
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sma.Update(new TValue(DateTime.UtcNow, 100));
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sma.Update(new TValue(DateTime.UtcNow, 110));
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// Feed positive infinity - should use last valid value
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var resultAfterPosInf = sma.Update(new TValue(DateTime.UtcNow, double.PositiveInfinity));
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Assert.True(double.IsFinite(resultAfterPosInf.Value));
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// Feed negative infinity - should use last valid value
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var resultAfterNegInf = sma.Update(new TValue(DateTime.UtcNow, double.NegativeInfinity));
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Assert.True(double.IsFinite(resultAfterNegInf.Value));
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}
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[Fact]
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public void Sma_MultipleNaN_ContinuesWithLastValid()
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{
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var sma = new Sma(5);
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// Feed valid values
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sma.Update(new TValue(DateTime.UtcNow, 100));
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sma.Update(new TValue(DateTime.UtcNow, 110));
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sma.Update(new TValue(DateTime.UtcNow, 120));
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// Feed multiple NaN values
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var r1 = sma.Update(new TValue(DateTime.UtcNow, double.NaN));
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var r2 = sma.Update(new TValue(DateTime.UtcNow, double.NaN));
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var r3 = sma.Update(new TValue(DateTime.UtcNow, double.NaN));
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// All results should be finite
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Assert.True(double.IsFinite(r1.Value));
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Assert.True(double.IsFinite(r2.Value));
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Assert.True(double.IsFinite(r3.Value));
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}
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[Fact]
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public void Sma_BatchCalc_HandlesNaN()
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{
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var sma = new Sma(5);
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// Create series with NaN values interspersed
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var series = new TSeries();
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series.Add(DateTime.UtcNow.Ticks, 100);
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series.Add(DateTime.UtcNow.Ticks + 1, 110);
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series.Add(DateTime.UtcNow.Ticks + 2, double.NaN);
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series.Add(DateTime.UtcNow.Ticks + 3, 120);
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series.Add(DateTime.UtcNow.Ticks + 4, double.PositiveInfinity);
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series.Add(DateTime.UtcNow.Ticks + 5, 130);
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var results = sma.Update(series);
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// All results should be finite
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foreach (var result in results)
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{
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Assert.True(double.IsFinite(result.Value), $"Expected finite value but got {result.Value}");
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}
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}
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[Fact]
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public void Sma_Reset_ClearsLastValidValue()
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{
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var sma = new Sma(5);
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// Feed values including NaN
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sma.Update(new TValue(DateTime.UtcNow, 100));
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sma.Update(new TValue(DateTime.UtcNow, double.NaN));
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// Reset
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sma.Reset();
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// After reset, first valid value should establish new baseline
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var result = sma.Update(new TValue(DateTime.UtcNow, 50));
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Assert.Equal(50.0, result.Value, 1e-10);
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}
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[Fact]
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public void Sma_StaticCalculate_Works()
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{
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var series = new TSeries();
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series.Add(DateTime.UtcNow.Ticks, 10);
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series.Add(DateTime.UtcNow.Ticks + 1, 20);
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series.Add(DateTime.UtcNow.Ticks + 2, 30);
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series.Add(DateTime.UtcNow.Ticks + 3, 40);
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series.Add(DateTime.UtcNow.Ticks + 4, 50);
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var results = Sma.Calculate(series, 3);
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Assert.Equal(5, results.Count);
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// SMA(3) for last value: (30+40+50)/3 = 40
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Assert.Equal(40.0, results.Last.Value, 1e-10);
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}
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[Fact]
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public void Sma_Period1_ReturnsInputValues()
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{
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var sma = new Sma(1);
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Assert.Equal(100.0, sma.Update(new TValue(DateTime.UtcNow, 100)).Value, 1e-10);
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Assert.Equal(200.0, sma.Update(new TValue(DateTime.UtcNow, 200)).Value, 1e-10);
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Assert.Equal(150.0, sma.Update(new TValue(DateTime.UtcNow, 150)).Value, 1e-10);
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}
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}
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