gavindiaz/QuanTAlib
1
0
Fork 0
mirror of https://github.com/mihakralj/QuanTAlib.git synced 2026-08-16 01:28:05 +00:00
Code Issues Packages Projects Releases Wiki Activity

Refactor code formatting and improve consistency across various test files

Browse Source 
- Removed unnecessary blank lines in multiple test files to enhance readability.
- Ensured consistent spacing and formatting in the `Trima`, `Usf`, `Vidya`, `Wma`, and `Atr` test classes.
- Updated comments for clarity and consistency in the `Atr` and `Adl` classes.
- Adjusted project files for better structure and maintainability.
This commit is contained in:
Miha Kralj
2025-12-28 17:44:08 -08:00
parent ad6eebf812
commit 13d7c1215d
169 changed files with 10815 additions and 10814 deletions
Download Patch File Download Diff File Expand all files Collapse all files
lib/core/simd/SimdExtensions.Tests.cs
+15 -15
View File
@@ -113,7 +113,7 @@ public class SimdExtensionsTests
double[] data = new double[1000];
for (int i = 0; i < data.Length; i++)
data[i] = i + 1.0;
var span = new ReadOnlySpan<double>(data);
double expected = 1000.0 * 1001.0 / 2.0;
Assert.Equal(expected, span.SumSIMD(), precision: 8);
@@ -324,7 +324,7 @@ public class SimdExtensionsTests
{
double[] data = [2.0, 4.0, 4.0, 4.0, 5.0, 5.0, 7.0, 9.0];
var span = new ReadOnlySpan<double>(data);
double variance = span.VarianceSIMD();
Assert.True(Math.Abs(variance - 4.571428) < 0.0001);
}
@@ -334,10 +334,10 @@ public class SimdExtensionsTests
{
double[] data = [2.0, 4.0, 4.0, 4.0, 5.0, 5.0, 7.0, 9.0];
var span = new ReadOnlySpan<double>(data);
double mean = 5.0;
double variance = span.VarianceSIMD(mean);
Assert.True(variance > 0);
}
@@ -379,7 +379,7 @@ public class SimdExtensionsTests
{
double[] data = [2.0, 4.0, 4.0, 4.0, 5.0, 5.0, 7.0, 9.0];
var span = new ReadOnlySpan<double>(data);
double stdDev = span.StdDevSIMD();
Assert.True(Math.Abs(stdDev - 2.138) < 0.01);
}
@@ -389,7 +389,7 @@ public class SimdExtensionsTests
{
double[] data = [2.0, 4.0, 4.0, 4.0, 5.0, 5.0, 7.0, 9.0];
var span = new ReadOnlySpan<double>(data);
double stdDev = span.StdDevSIMD(5.0);
Assert.True(stdDev > 0);
}
@@ -556,14 +556,14 @@ public class SimdExtensionsTests
public void SIMD_WorksWithTSeriesValues()
{
var series = new TSeries(100);
for (int i = 0; i < 100; i++)
{
series.Add(DateTime.UtcNow.Ticks + i, i + 1.0);
}
var values = series.Values;
double sum = values.SumSIMD();
double avg = values.AverageSIMD();
double min = values.MinSIMD();
@@ -587,7 +587,7 @@ public class SimdExtensionsTests
var bars = gbm.Fetch(1000, startTime, interval);
var closeValues = bars.Close.Values;
double sum = closeValues.SumSIMD();
double avg = closeValues.AverageSIMD();
double min = closeValues.MinSIMD();
@@ -611,7 +611,7 @@ public class SimdExtensionsTests
_ = closeValues.SumSIMD();
var sw = System.Diagnostics.Stopwatch.StartNew();
double sum = closeValues.SumSIMD();
double avg = closeValues.AverageSIMD();
double min = closeValues.MinSIMD();
@@ -619,7 +619,7 @@ public class SimdExtensionsTests
var (minAlt, maxAlt) = closeValues.MinMaxSIMD();
double variance = closeValues.VarianceSIMD();
double stdDev = closeValues.StdDevSIMD();
sw.Stop();
Assert.True(sum > 0);
@@ -630,8 +630,8 @@ public class SimdExtensionsTests
Assert.Equal(max, maxAlt);
Assert.True(variance > 0);
Assert.True(stdDev > 0);
Assert.True(sw.ElapsedMilliseconds < 50,
Assert.True(sw.ElapsedMilliseconds < 50,
$"SIMD operations took {sw.ElapsedMilliseconds}ms, expected < 50ms");
}
@@ -640,12 +640,12 @@ public class SimdExtensionsTests
{
double[] data = [1.0, 2.0, 3.0];
var span = new ReadOnlySpan<double>(data);
Assert.Equal(6.0, span.SumSIMD());
Assert.Equal(1.0, span.MinSIMD());
Assert.Equal(3.0, span.MaxSIMD());
Assert.Equal(2.0, span.AverageSIMD());
var (min, max) = span.MinMaxSIMD();
Assert.Equal(1.0, min);
Assert.Equal(3.0, max);