Refactor tests and improve random number generation handling; update Dema, Ema, Sma, Tema, Wma, and GBM classes for consistency and clarity

This commit is contained in:
Miha Kralj
2025-12-05 10:33:27 -08:00
parent 9e152b9027
commit 3b146b68bd
10 changed files with 240 additions and 242 deletions
+7 -6
View File
@@ -2,6 +2,7 @@ using Xunit;
namespace QuanTAlib.Tests;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class DemaTests
{
[Fact]
@@ -12,7 +13,7 @@ public class DemaTests
var dema = new Dema(period);
var ema1 = new Ema(period);
var ema2 = new Ema(period);
var r = new Random(123);
var r = new Random(123); // nosemgrep
// Act & Assert
for (int i = 0; i < 100; i++)
@@ -36,7 +37,7 @@ public class DemaTests
// Arrange
int period = 10;
var source = new TSeries();
var r = new Random(123);
var r = new Random(123); // nosemgrep
for (int i = 0; i < 100; i++)
{
source.Add(new TValue(DateTime.Now.AddMinutes(i), r.NextDouble() * 100));
@@ -62,7 +63,7 @@ public class DemaTests
int count = 100;
var source = new double[count];
var output = new double[count];
var r = new Random(123);
var r = new Random(123); // nosemgrep
for (int i = 0; i < count; i++)
{
source[i] = r.NextDouble() * 100;
@@ -88,7 +89,7 @@ public class DemaTests
double alpha = 2.0 / (period + 1);
var demaPeriod = new Dema(period);
var demaAlpha = new Dema(alpha);
var r = new Random(123);
var r = new Random(123); // nosemgrep
// Act & Assert
for (int i = 0; i < 100; i++)
@@ -109,7 +110,7 @@ public class DemaTests
// Arrange
double alpha = 0.15;
var source = new TSeries();
var r = new Random(123);
var r = new Random(123); // nosemgrep
for (int i = 0; i < 100; i++)
{
source.Add(new TValue(DateTime.Now.AddMinutes(i), r.NextDouble() * 100));
@@ -135,7 +136,7 @@ public class DemaTests
int count = 100;
var source = new double[count];
var output = new double[count];
var r = new Random(123);
var r = new Random(123); // nosemgrep
for (int i = 0; i < count; i++)
{
source[i] = r.NextDouble() * 100;
+2 -1
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@@ -1,5 +1,6 @@
namespace QuanTAlib.Tests;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class EmaTests
{
[Fact]
@@ -441,7 +442,7 @@ public class EmaTests
{
double[] source = new double[10000];
double[] output = new double[10000];
var rng = new Random(42);
var rng = new Random(42); // nosemgrep
for (int i = 0; i < source.Length; i++)
source[i] = rng.NextDouble() * 100;
+3 -2
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@@ -1,5 +1,6 @@
namespace QuanTAlib.Tests;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class SmaTests
{
[Fact]
@@ -422,9 +423,9 @@ public class SmaTests
{
double[] source = new double[10000];
double[] output = new double[10000];
var rng = new Random(42);
var rng = new Random(42); // nosemgrep
for (int i = 0; i < source.Length; i++)
source[i] = rng.NextDouble() * 100;
source[i] = rng.NextDouble() * 100; // nosemgrep
// Warm up
Sma.Calculate(source.AsSpan(), output.AsSpan(), 100);
+57 -60
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@@ -292,78 +292,75 @@ public sealed class Sma
}
[MethodImpl(MethodImplOptions.AggressiveOptimization)]
#pragma warning disable S6640 // Unsafe code is required for high-performance SIMD operations
private static unsafe void CalculateSimdCore(ReadOnlySpan<double> source, Span<double> output, int period)
private static void CalculateSimdCore(ReadOnlySpan<double> source, Span<double> output, int period)
{
int len = source.Length;
const int VectorWidth = 4;
fixed (double* srcPtr = source)
fixed (double* outPtr = output)
ref double srcRef = ref MemoryMarshal.GetReference(source);
ref double outRef = ref MemoryMarshal.GetReference(output);
double invPeriod = 1.0 / period;
int warmupEnd = Math.Min(period, len);
double sum = 0;
for (int i = 0; i < warmupEnd; i++)
{
double invPeriod = 1.0 / period;
sum += Unsafe.Add(ref srcRef, i);
Unsafe.Add(ref outRef, i) = sum / (i + 1);
}
int warmupEnd = Math.Min(period, len);
double sum = 0;
for (int i = 0; i < warmupEnd; i++)
if (len <= period)
return;
var vInvPeriod = Vector256.Create(invPeriod);
var vZero = Vector256<double>.Zero;
int simdEnd = period + ((len - period) / VectorWidth) * VectorWidth;
int tickCount = 0;
for (int i = period; i < simdEnd; i += VectorWidth)
{
var vNew = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, i));
var vOld = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, i - period));
var vDelta = Avx.Subtract(vNew, vOld);
var vShift1 = Avx2.Permute4x64(vDelta.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShift1 = Avx.Blend(vZero, vShift1, 0b_1110);
var vP1 = Avx.Add(vDelta, vShift1);
var vShift2 = Avx2.Permute4x64(vP1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShift2 = Avx.Blend(vZero, vShift2, 0b_1100);
var vP2 = Avx.Add(vP1, vShift2);
var vSumPrev = Vector256.Create(sum);
var vSums = Avx.Add(vSumPrev, vP2);
var vResult = Avx.Multiply(vSums, vInvPeriod);
Vector256.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, i));
sum = vSums.GetElement(3);
tickCount += VectorWidth;
if (tickCount >= ResyncInterval)
{
sum += srcPtr[i];
outPtr[i] = sum / (i + 1);
}
if (len <= period)
return;
var vInvPeriod = Vector256.Create(invPeriod);
var vZero = Vector256<double>.Zero;
int simdEnd = period + ((len - period) / VectorWidth) * VectorWidth;
int tickCount = 0;
for (int i = period; i < simdEnd; i += VectorWidth)
{
var vNew = Avx.LoadVector256(srcPtr + i);
var vOld = Avx.LoadVector256(srcPtr + i - period);
var vDelta = Avx.Subtract(vNew, vOld);
var vShift1 = Avx2.Permute4x64(vDelta.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShift1 = Avx.Blend(vZero, vShift1, 0b_1110);
var vP1 = Avx.Add(vDelta, vShift1);
var vShift2 = Avx2.Permute4x64(vP1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShift2 = Avx.Blend(vZero, vShift2, 0b_1100);
var vP2 = Avx.Add(vP1, vShift2);
var vSumPrev = Vector256.Create(sum);
var vSums = Avx.Add(vSumPrev, vP2);
var vResult = Avx.Multiply(vSums, vInvPeriod);
Avx.Store(outPtr + i, vResult);
sum = vSums.GetElement(3);
tickCount += VectorWidth;
if (tickCount >= ResyncInterval)
tickCount = 0;
int lastIdx = i + VectorWidth - 1;
double recalcSum = 0;
for (int k = 0; k < period; k++)
{
tickCount = 0;
int lastIdx = i + VectorWidth - 1;
double recalcSum = 0;
for (int k = 0; k < period; k++)
{
recalcSum += srcPtr[lastIdx - k];
}
sum = recalcSum;
recalcSum += Unsafe.Add(ref srcRef, lastIdx - k);
}
}
for (int i = simdEnd; i < len; i++)
{
sum = sum - srcPtr[i - period] + srcPtr[i];
outPtr[i] = sum * invPeriod;
sum = recalcSum;
}
}
for (int i = simdEnd; i < len; i++)
{
sum = sum - Unsafe.Add(ref srcRef, i - period) + Unsafe.Add(ref srcRef, i);
Unsafe.Add(ref outRef, i) = sum * invPeriod;
}
}
#pragma warning restore S6640
/// <summary>
/// Checks if span contains any non-finite values (NaN or Infinity).
+2 -1
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@@ -1,5 +1,6 @@
namespace QuanTAlib.Tests;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class TemaTests
{
[Fact]
@@ -253,7 +254,7 @@ public class TemaTests
{
double[] source = new double[10000];
double[] output = new double[10000];
var rng = new Random(42);
var rng = new Random(42); // nosemgrep
for (int i = 0; i < source.Length; i++)
source[i] = rng.NextDouble() * 100;
+4 -2
View File
@@ -19,7 +19,9 @@ namespace QuanTAlib;
/// Uses three EMA instances, each with O(1) update complexity.
///
/// IsHot:
/// Becomes true when the third EMA converges (approx. 3x EMA convergence time).
/// Becomes true when the TEMA step response converges to within 5% error.
/// This happens when the third EMA's error factor drops below ~9% (approx 2.43/alpha steps),
/// which is faster than the standard EMA convergence (3/alpha steps).
/// </remarks>
[SkipLocalsInit]
public sealed class Tema
@@ -48,7 +50,7 @@ public sealed class Tema
public string Name { get; }
public TValue Value { get; private set; }
public bool IsHot => _state3.IsHot;
public bool IsHot => _state3.E <= 0.09;
public Tema(int period)
{
+3 -2
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@@ -1,5 +1,6 @@
namespace QuanTAlib.Tests;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class WmaTests
{
[Fact]
@@ -468,7 +469,7 @@ public class WmaTests
{
double[] source = new double[10000];
double[] output = new double[10000];
var rng = new Random(42);
var rng = new Random(42); // nosemgrep
for (int i = 0; i < source.Length; i++)
source[i] = rng.NextDouble() * 100;
@@ -513,7 +514,7 @@ public class WmaTests
{
double[] source = new double[1000];
double[] output = new double[1000];
var rng = new Random(42);
var rng = new Random(42); // nosemgrep
for (int i = 0; i < source.Length; i++)
source[i] = rng.NextDouble() * 100;
+153 -156
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@@ -289,189 +289,186 @@ public sealed class Wma
}
[MethodImpl(MethodImplOptions.AggressiveOptimization)]
#pragma warning disable S6640 // Unsafe code is required for high-performance SIMD operations
private static unsafe void CalculateSimdCore(ReadOnlySpan<double> source, Span<double> output, int period)
private static void CalculateSimdCore(ReadOnlySpan<double> source, Span<double> output, int period)
{
int len = source.Length;
const int VectorWidth = 4;
fixed (double* srcPtr = source)
fixed (double* outPtr = output)
ref double srcRef = ref MemoryMarshal.GetReference(source);
ref double outRef = ref MemoryMarshal.GetReference(output);
double divisor = period * (period + 1) * 0.5;
double invDivisor = 1.0 / divisor;
int warmupEnd = Math.Min(period, len);
double sum = 0;
double wsum = 0;
for (int i = 0; i < warmupEnd; i++)
{
double divisor = period * (period + 1) * 0.5;
double invDivisor = 1.0 / divisor;
double val = Unsafe.Add(ref srcRef, i);
sum += val;
wsum += (i + 1) * val;
double currentDivisor = (i + 1) * (i + 2) * 0.5;
Unsafe.Add(ref outRef, i) = wsum / currentDivisor;
}
int warmupEnd = Math.Min(period, len);
double sum = 0;
double wsum = 0;
for (int i = 0; i < warmupEnd; i++)
if (len <= period)
return;
var vInvDivisor = Vector256.Create(invDivisor);
var vPeriod = Vector256.Create((double)period);
var vZero = Vector256<double>.Zero;
int simdEnd = period + ((len - period) / VectorWidth) * VectorWidth;
var vSumState = Vector256.Create(sum);
var vWsumState = Vector256.Create(wsum);
int idx = period;
while (idx < simdEnd)
{
int nextSync = Math.Min(simdEnd, idx + ResyncInterval);
int unrolledSync = nextSync - (2 * VectorWidth);
for (; idx <= unrolledSync; idx += 2 * VectorWidth)
{
double val = srcPtr[i];
sum += val;
wsum += (i + 1) * val;
double currentDivisor = (i + 1) * (i + 2) * 0.5;
outPtr[i] = wsum / currentDivisor;
var vNew1 = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, idx));
var vOld1 = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, idx - period));
var vNew2 = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, idx + VectorWidth));
var vOld2 = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, idx + VectorWidth - period));
var vDeltaS1 = Avx.Subtract(vNew1, vOld1);
var vDeltaS2 = Avx.Subtract(vNew2, vOld2);
var vShiftS1_1 = Avx2.Permute4x64(vDeltaS1.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftS1_1 = Avx.Blend(vZero, vShiftS1_1, 0b_1110);
var vPS_DeltaS1 = Avx.Add(vDeltaS1, vShiftS1_1);
var vShiftS2_1 = Avx2.Permute4x64(vPS_DeltaS1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftS2_1 = Avx.Blend(vZero, vShiftS2_1, 0b_1100);
vPS_DeltaS1 = Avx.Add(vPS_DeltaS1, vShiftS2_1);
var vShiftS1_2 = Avx2.Permute4x64(vDeltaS2.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftS1_2 = Avx.Blend(vZero, vShiftS1_2, 0b_1110);
var vPS_DeltaS2 = Avx.Add(vDeltaS2, vShiftS1_2);
var vShiftS2_2 = Avx2.Permute4x64(vPS_DeltaS2.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftS2_2 = Avx.Blend(vZero, vShiftS2_2, 0b_1100);
vPS_DeltaS2 = Avx.Add(vPS_DeltaS2, vShiftS2_2);
var vSums1 = Avx.Add(vSumState, vPS_DeltaS1);
var vLastS1 = Avx2.Permute4x64(vSums1.AsUInt64(), 0b_11_11_11_11).AsDouble();
var vSums2 = Avx.Add(vLastS1, vPS_DeltaS2);
var vSumsShifted1 = Avx.Subtract(vSums1, vDeltaS1);
var vSumsShifted2 = Avx.Subtract(vSums2, vDeltaS2);
Vector256<double> vU1, vU2;
if (Fma.IsSupported)
{
vU1 = Fma.MultiplySubtract(vPeriod, vNew1, vSumsShifted1);
vU2 = Fma.MultiplySubtract(vPeriod, vNew2, vSumsShifted2);
}
else
{
vU1 = Avx.Subtract(Avx.Multiply(vPeriod, vNew1), vSumsShifted1);
vU2 = Avx.Subtract(Avx.Multiply(vPeriod, vNew2), vSumsShifted2);
}
var vShiftW1_1 = Avx2.Permute4x64(vU1.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftW1_1 = Avx.Blend(vZero, vShiftW1_1, 0b_1110);
var vPW1_1 = Avx.Add(vU1, vShiftW1_1);
var vShiftW2_1 = Avx2.Permute4x64(vPW1_1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftW2_1 = Avx.Blend(vZero, vShiftW2_1, 0b_1100);
var vPW2_1 = Avx.Add(vPW1_1, vShiftW2_1);
var vShiftW1_2 = Avx2.Permute4x64(vU2.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftW1_2 = Avx.Blend(vZero, vShiftW1_2, 0b_1110);
var vPW1_2 = Avx.Add(vU2, vShiftW1_2);
var vShiftW2_2 = Avx2.Permute4x64(vPW1_2.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftW2_2 = Avx.Blend(vZero, vShiftW2_2, 0b_1100);
var vPW2_2 = Avx.Add(vPW1_2, vShiftW2_2);
var vWsums1 = Avx.Add(vWsumState, vPW2_1);
var vLastW1 = Avx2.Permute4x64(vWsums1.AsUInt64(), 0b_11_11_11_11).AsDouble();
var vWsums2 = Avx.Add(vLastW1, vPW2_2);
Vector256.StoreUnsafe(Avx.Multiply(vWsums1, vInvDivisor), ref Unsafe.Add(ref outRef, idx));
Vector256.StoreUnsafe(Avx.Multiply(vWsums2, vInvDivisor), ref Unsafe.Add(ref outRef, idx + VectorWidth));
vSumState = Avx2.Permute4x64(vSums2.AsUInt64(), 0b_11_11_11_11).AsDouble();
vWsumState = Avx2.Permute4x64(vWsums2.AsUInt64(), 0b_11_11_11_11).AsDouble();
}
if (len <= period)
return;
var vInvDivisor = Vector256.Create(invDivisor);
var vPeriod = Vector256.Create((double)period);
var vZero = Vector256<double>.Zero;
int simdEnd = period + ((len - period) / VectorWidth) * VectorWidth;
var vSumState = Vector256.Create(sum);
var vWsumState = Vector256.Create(wsum);
int idx = period;
while (idx < simdEnd)
for (; idx < nextSync; idx += VectorWidth)
{
int nextSync = Math.Min(simdEnd, idx + ResyncInterval);
int unrolledSync = nextSync - (2 * VectorWidth);
for (; idx <= unrolledSync; idx += 2 * VectorWidth)
{
var vNew1 = Avx.LoadVector256(srcPtr + idx);
var vOld1 = Avx.LoadVector256(srcPtr + idx - period);
var vNew2 = Avx.LoadVector256(srcPtr + idx + VectorWidth);
var vOld2 = Avx.LoadVector256(srcPtr + idx + VectorWidth - period);
var vNew = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, idx));
var vOld = Vector256.LoadUnsafe(ref Unsafe.Add(ref srcRef, idx - period));
var vDeltaS1 = Avx.Subtract(vNew1, vOld1);
var vDeltaS2 = Avx.Subtract(vNew2, vOld2);
var vDeltaS = Avx.Subtract(vNew, vOld);
var vShiftS1_1 = Avx2.Permute4x64(vDeltaS1.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftS1_1 = Avx.Blend(vZero, vShiftS1_1, 0b_1110);
var vPS_DeltaS1 = Avx.Add(vDeltaS1, vShiftS1_1);
var vShiftS2_1 = Avx2.Permute4x64(vPS_DeltaS1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftS2_1 = Avx.Blend(vZero, vShiftS2_1, 0b_1100);
vPS_DeltaS1 = Avx.Add(vPS_DeltaS1, vShiftS2_1);
var vShiftS1 = Avx2.Permute4x64(vDeltaS.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftS1 = Avx.Blend(vZero, vShiftS1, 0b_1110);
var vPS1 = Avx.Add(vDeltaS, vShiftS1);
var vShiftS1_2 = Avx2.Permute4x64(vDeltaS2.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftS1_2 = Avx.Blend(vZero, vShiftS1_2, 0b_1110);
var vPS_DeltaS2 = Avx.Add(vDeltaS2, vShiftS1_2);
var vShiftS2_2 = Avx2.Permute4x64(vPS_DeltaS2.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftS2_2 = Avx.Blend(vZero, vShiftS2_2, 0b_1100);
vPS_DeltaS2 = Avx.Add(vPS_DeltaS2, vShiftS2_2);
var vShiftS2 = Avx2.Permute4x64(vPS1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftS2 = Avx.Blend(vZero, vShiftS2, 0b_1100);
var vPS2 = Avx.Add(vPS1, vShiftS2);
var vSums1 = Avx.Add(vSumState, vPS_DeltaS1);
var vLastS1 = Avx2.Permute4x64(vSums1.AsUInt64(), 0b_11_11_11_11).AsDouble();
var vSums2 = Avx.Add(vLastS1, vPS_DeltaS2);
var vSums = Avx.Add(vSumState, vPS2);
var vSumsShifted1 = Avx.Subtract(vSums1, vDeltaS1);
var vSumsShifted2 = Avx.Subtract(vSums2, vDeltaS2);
var vSumsShifted = Avx2.Permute4x64(vSums.AsUInt64(), 0b_10_01_00_00).AsDouble();
vSumsShifted = Avx.Blend(vSumState, vSumsShifted, 0b_1110);
Vector256<double> vU1, vU2;
if (Fma.IsSupported)
{
vU1 = Fma.MultiplySubtract(vPeriod, vNew1, vSumsShifted1);
vU2 = Fma.MultiplySubtract(vPeriod, vNew2, vSumsShifted2);
}
else
{
vU1 = Avx.Subtract(Avx.Multiply(vPeriod, vNew1), vSumsShifted1);
vU2 = Avx.Subtract(Avx.Multiply(vPeriod, vNew2), vSumsShifted2);
}
var vTerm1 = Avx.Multiply(vPeriod, vNew);
var vU = Avx.Subtract(vTerm1, vSumsShifted);
var vShiftW1_1 = Avx2.Permute4x64(vU1.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftW1_1 = Avx.Blend(vZero, vShiftW1_1, 0b_1110);
var vPW1_1 = Avx.Add(vU1, vShiftW1_1);
var vShiftW2_1 = Avx2.Permute4x64(vPW1_1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftW2_1 = Avx.Blend(vZero, vShiftW2_1, 0b_1100);
var vPW2_1 = Avx.Add(vPW1_1, vShiftW2_1);
var vShiftW1 = Avx2.Permute4x64(vU.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftW1 = Avx.Blend(vZero, vShiftW1, 0b_1110);
var vPW1 = Avx.Add(vU, vShiftW1);
var vShiftW1_2 = Avx2.Permute4x64(vU2.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftW1_2 = Avx.Blend(vZero, vShiftW1_2, 0b_1110);
var vPW1_2 = Avx.Add(vU2, vShiftW1_2);
var vShiftW2_2 = Avx2.Permute4x64(vPW1_2.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftW2_2 = Avx.Blend(vZero, vShiftW2_2, 0b_1100);
var vPW2_2 = Avx.Add(vPW1_2, vShiftW2_2);
var vShiftW2 = Avx2.Permute4x64(vPW1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftW2 = Avx.Blend(vZero, vShiftW2, 0b_1100);
var vPW2 = Avx.Add(vPW1, vShiftW2);
var vWsums1 = Avx.Add(vWsumState, vPW2_1);
var vLastW1 = Avx2.Permute4x64(vWsums1.AsUInt64(), 0b_11_11_11_11).AsDouble();
var vWsums2 = Avx.Add(vLastW1, vPW2_2);
var vWsums = Avx.Add(vWsumState, vPW2);
Avx.Store(outPtr + idx, Avx.Multiply(vWsums1, vInvDivisor));
Avx.Store(outPtr + idx + VectorWidth, Avx.Multiply(vWsums2, vInvDivisor));
var vResult = Avx.Multiply(vWsums, vInvDivisor);
Vector256.StoreUnsafe(vResult, ref Unsafe.Add(ref outRef, idx));
vSumState = Avx2.Permute4x64(vSums2.AsUInt64(), 0b_11_11_11_11).AsDouble();
vWsumState = Avx2.Permute4x64(vWsums2.AsUInt64(), 0b_11_11_11_11).AsDouble();
}
for (; idx < nextSync; idx += VectorWidth)
{
var vNew = Avx.LoadVector256(srcPtr + idx);
var vOld = Avx.LoadVector256(srcPtr + idx - period);
var vDeltaS = Avx.Subtract(vNew, vOld);
var vShiftS1 = Avx2.Permute4x64(vDeltaS.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftS1 = Avx.Blend(vZero, vShiftS1, 0b_1110);
var vPS1 = Avx.Add(vDeltaS, vShiftS1);
var vShiftS2 = Avx2.Permute4x64(vPS1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftS2 = Avx.Blend(vZero, vShiftS2, 0b_1100);
var vPS2 = Avx.Add(vPS1, vShiftS2);
var vSums = Avx.Add(vSumState, vPS2);
var vSumsShifted = Avx2.Permute4x64(vSums.AsUInt64(), 0b_10_01_00_00).AsDouble();
vSumsShifted = Avx.Blend(vSumState, vSumsShifted, 0b_1110);
var vTerm1 = Avx.Multiply(vPeriod, vNew);
var vU = Avx.Subtract(vTerm1, vSumsShifted);
var vShiftW1 = Avx2.Permute4x64(vU.AsUInt64(), 0b_10_01_00_00).AsDouble();
vShiftW1 = Avx.Blend(vZero, vShiftW1, 0b_1110);
var vPW1 = Avx.Add(vU, vShiftW1);
var vShiftW2 = Avx2.Permute4x64(vPW1.AsUInt64(), 0b_01_00_00_00).AsDouble();
vShiftW2 = Avx.Blend(vZero, vShiftW2, 0b_1100);
var vPW2 = Avx.Add(vPW1, vShiftW2);
var vWsums = Avx.Add(vWsumState, vPW2);
var vResult = Avx.Multiply(vWsums, vInvDivisor);
Avx.Store(outPtr + idx, vResult);
vSumState = Avx2.Permute4x64(vSums.AsUInt64(), 0b_11_11_11_11).AsDouble();
vWsumState = Avx2.Permute4x64(vWsums.AsUInt64(), 0b_11_11_11_11).AsDouble();
}
if (idx < len)
{
int lastIdx = idx - 1;
double recalcSum = 0;
double recalcWsum = 0;
for (int k = 0; k < period; k++)
{
double val = srcPtr[lastIdx - k];
recalcSum += val;
recalcWsum += (period - k) * val;
}
sum = recalcSum;
wsum = recalcWsum;
vSumState = Vector256.Create(sum);
vWsumState = Vector256.Create(wsum);
}
vSumState = Avx2.Permute4x64(vSums.AsUInt64(), 0b_11_11_11_11).AsDouble();
vWsumState = Avx2.Permute4x64(vWsums.AsUInt64(), 0b_11_11_11_11).AsDouble();
}
sum = vSumState.GetElement(0);
wsum = vWsumState.GetElement(0);
for (; idx < len; idx++)
if (idx < len)
{
double val = srcPtr[idx];
double oldSum = sum;
double oldest = srcPtr[idx - period];
sum = sum - oldest + val;
wsum = wsum - oldSum + (period * val);
outPtr[idx] = wsum * invDivisor;
int lastIdx = idx - 1;
double recalcSum = 0;
double recalcWsum = 0;
for (int k = 0; k < period; k++)
{
double val = Unsafe.Add(ref srcRef, lastIdx - k);
recalcSum += val;
recalcWsum += (period - k) * val;
}
sum = recalcSum;
wsum = recalcWsum;
vSumState = Vector256.Create(sum);
vWsumState = Vector256.Create(wsum);
}
}
sum = vSumState.GetElement(0);
wsum = vWsumState.GetElement(0);
for (; idx < len; idx++)
{
double val = Unsafe.Add(ref srcRef, idx);
double oldSum = sum;
double oldest = Unsafe.Add(ref srcRef, idx - period);
sum = sum - oldest + val;
wsum = wsum - oldSum + (period * val);
Unsafe.Add(ref outRef, idx) = wsum * invDivisor;
}
}
#pragma warning restore S6640
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static bool HasNonFiniteValues(ReadOnlySpan<double> span)
+6 -6
View File
@@ -212,7 +212,7 @@ public class GBMTests
var gbm = new GBM(startPrice: 100.0);
// Start with streaming
var bar1 = gbm.Next();
_ = gbm.Next();
var bar2 = gbm.Next();
// Batch generation with explicit time
@@ -253,11 +253,11 @@ public class GBMTests
{
var gbm = new GBM(startPrice: 100.0);
var bar1 = gbm.Next();
var bar2 = gbm.Next();
var previousBar = gbm.Next();
var currentBar = gbm.Next();
// bar2.Open should equal bar1.Close (continuity)
Assert.Equal(bar1.Close, bar2.Open);
// currentBar.Open should equal previousBar.Close (continuity)
Assert.Equal(previousBar.Close, currentBar.Open);
}
[Fact]
@@ -268,7 +268,7 @@ public class GBMTests
// Generate multiple bars
for (int i = 0; i < 100; i++)
{
gbm.Next();
_ = gbm.Next();
}
// GBM should not expose any history storage
+3 -6
View File
@@ -9,6 +9,7 @@ namespace QuanTAlib;
/// </summary>
[SkipLocalsInit]
#pragma warning disable S101 // Rename class 'GBM' to match pascal case naming rules
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
public class GBM : IFeed
#pragma warning restore S101
{
@@ -82,10 +83,8 @@ public class GBM : IFeed
return _cachedZ;
}
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
double u1 = 1.0 - _rnd.NextDouble();
double u2 = 1.0 - _rnd.NextDouble();
#pragma warning restore S2245
double u1 = 1.0 - _rnd.NextDouble(); // nosemgrep
double u2 = 1.0 - _rnd.NextDouble(); // nosemgrep
double mag = Math.Sqrt(-2.0 * Math.Log(u1));
double angle = 2.0 * Math.PI * u2;
@@ -190,11 +189,9 @@ public class GBM : IFeed
double open = currentPrice;
double close = price;
#pragma warning disable S2245 // Random is acceptable for simulation/testing purposes
double rnd1 = _rnd.NextDouble();
double rnd2 = _rnd.NextDouble();
double rnd3 = _rnd.NextDouble();
#pragma warning restore S2245
t[i] = currentTime;
o[i] = open;