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Miha Kralj 060649192f docs: remove C# Implementation Considerations sections, clean up temp scripts, reorganize test files
- Remove 'C# Implementation Considerations' sections from 34 indicator .md files
- Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.)
- Move test files into tests/ subdirectories for consistent project structure
- Add trader-focused bullet points to indicator documentation
2026-03-12 12:34:16 -07:00

278 lines
8.4 KiB
C#

using Xunit;
namespace QuanTAlib.Tests;
public class ExptransTests
{
private const double Tolerance = 1e-10;
[Fact]
public void Exptrans_Constructor_SetsProperties()
{
var indicator = new Exptrans();
Assert.Equal("Exptrans", indicator.Name);
Assert.Equal(0, indicator.WarmupPeriod);
Assert.True(indicator.IsHot); // Always hot (no warmup)
}
[Fact]
public void Exptrans_Update_ReturnsExponential()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
indicator.Update(new TValue(time, 0.0));
Assert.Equal(1.0, indicator.Last.Value, Tolerance); // exp(0) = 1
indicator.Update(new TValue(time.AddMinutes(1), 1.0));
Assert.Equal(Math.E, indicator.Last.Value, Tolerance); // exp(1) = e
indicator.Update(new TValue(time.AddMinutes(2), 2.0));
Assert.Equal(Math.E * Math.E, indicator.Last.Value, Tolerance); // exp(2) = e^2
indicator.Update(new TValue(time.AddMinutes(3), -1.0));
Assert.Equal(1.0 / Math.E, indicator.Last.Value, Tolerance); // exp(-1) = 1/e
}
[Fact]
public void Exptrans_Update_KnownValues()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
// exp(0) = 1
indicator.Update(new TValue(time, 0.0));
Assert.Equal(1.0, indicator.Last.Value, Tolerance);
// exp(ln(10)) = 10
indicator.Update(new TValue(time.AddMinutes(1), Math.Log(10.0)));
Assert.Equal(10.0, indicator.Last.Value, Tolerance);
// exp(ln(0.5)) = 0.5
indicator.Update(new TValue(time.AddMinutes(2), Math.Log(0.5)));
Assert.Equal(0.5, indicator.Last.Value, Tolerance);
}
[Fact]
public void Exptrans_Update_IsNewFalse_CorrectsPreviousValue()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
indicator.Update(new TValue(time, 1.0));
indicator.Update(new TValue(time.AddMinutes(1), 2.0));
Assert.Equal(Math.Exp(2.0), indicator.Last.Value, Tolerance);
// Correct last value
indicator.Update(new TValue(time.AddMinutes(1), 3.0), isNew: false);
Assert.Equal(Math.Exp(3.0), indicator.Last.Value, Tolerance);
}
[Fact]
public void Exptrans_Update_IterativeCorrection_RestoresState()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
double[] values = { 0.5, 1.0, 0.8, 1.2, 0.7, 1.5, 1.1 };
// Process all values
foreach (var v in values)
{
indicator.Update(new TValue(time, v));
time = time.AddMinutes(1);
}
double finalResult = indicator.Last.Value;
// Reset and process with corrections
indicator.Reset();
time = DateTime.UtcNow;
foreach (var v in values)
{
// Submit wrong value first
indicator.Update(new TValue(time, 0.0));
// Correct it
indicator.Update(new TValue(time, v), isNew: false);
time = time.AddMinutes(1);
}
Assert.Equal(finalResult, indicator.Last.Value, Tolerance);
}
[Fact]
public void Exptrans_Update_NaN_UsesLastValidValue()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
indicator.Update(new TValue(time, 2.0));
double beforeNaN = indicator.Last.Value;
indicator.Update(new TValue(time.AddMinutes(1), double.NaN));
Assert.Equal(beforeNaN, indicator.Last.Value, Tolerance);
}
[Fact]
public void Exptrans_Update_Infinity_UsesLastValidValue()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
indicator.Update(new TValue(time, 1.5));
double beforeInf = indicator.Last.Value;
indicator.Update(new TValue(time.AddMinutes(1), double.PositiveInfinity));
Assert.Equal(beforeInf, indicator.Last.Value, Tolerance);
}
[Fact]
public void Exptrans_Update_LargeInput_HandlesOverflow()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
indicator.Update(new TValue(time, 5.0));
double validResult = indicator.Last.Value;
// exp(1000) overflows to infinity
indicator.Update(new TValue(time.AddMinutes(1), 1000.0));
// Should use last valid value
Assert.Equal(validResult, indicator.Last.Value, Tolerance);
}
[Fact]
public void Exptrans_Reset_ClearsState()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
for (int i = 0; i < 10; i++)
{
indicator.Update(new TValue(time.AddMinutes(i), i * 0.1));
}
Assert.True(indicator.IsHot);
indicator.Reset();
Assert.True(indicator.IsHot); // Still hot (no warmup)
Assert.Equal(default, indicator.Last);
}
[Fact]
public void Exptrans_Pub_EventFires()
{
var indicator = new Exptrans();
int eventCount = 0;
indicator.Pub += (object? sender, in TValueEventArgs args) => eventCount++;
indicator.Update(new TValue(DateTime.UtcNow, 1.0));
Assert.Equal(1, eventCount);
}
[Fact]
public void Exptrans_Chaining_Constructor_Works()
{
var source = new TSeries();
var indicator = new Exptrans(source);
source.Add(new TValue(DateTime.UtcNow, 0.0), true);
Assert.Equal(1.0, indicator.Last.Value, Tolerance); // exp(0) = 1
source.Add(new TValue(DateTime.UtcNow.AddMinutes(1), 1.0), true);
Assert.Equal(Math.E, indicator.Last.Value, Tolerance); // exp(1) = e
}
[Fact]
public void Exptrans_Calculate_TSeries_MatchesStreaming()
{
int count = 50;
var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 40000);
var bars = gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// Use log of close prices to stay in reasonable exp range
var logSource = Logtrans.Batch(bars.Close);
// Streaming
var streaming = new Exptrans();
var streamingResults = new List<double>();
for (int i = 0; i < logSource.Count; i++)
{
streaming.Update(logSource[i]);
streamingResults.Add(streaming.Last.Value);
}
// Batch
var batch = Exptrans.Batch(logSource);
// Compare all values
for (int i = 0; i < logSource.Count; i++)
{
Assert.Equal(streamingResults[i], batch[i].Value, Tolerance);
}
}
[Fact]
public void Exptrans_Calculate_Span_MatchesTSeries()
{
int count = 50;
var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 40001);
var bars = gbm.Fetch(count, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
var logSource = Logtrans.Batch(bars.Close);
// TSeries batch
var batchResult = Exptrans.Batch(logSource);
// Span calculation
var values = logSource.Values.ToArray();
var output = new double[count];
Exptrans.Batch(values, output);
for (int i = 0; i < logSource.Count; i++)
{
Assert.Equal(batchResult[i].Value, output[i], Tolerance);
}
}
[Fact]
public void Exptrans_Calculate_Span_ValidatesArguments()
{
Assert.Throws<ArgumentException>(() =>
{
Span<double> output = stackalloc double[10];
Exptrans.Batch(ReadOnlySpan<double>.Empty, output);
});
Assert.Throws<ArgumentException>(() =>
{
ReadOnlySpan<double> source = stackalloc double[10];
Span<double> output = stackalloc double[5];
Exptrans.Batch(source, output);
});
}
[Fact]
public void Exptrans_LogInverse_ReturnsOriginal()
{
var exp = new Exptrans();
var time = DateTime.UtcNow;
double logValue = 3.5;
exp.Update(new TValue(time, logValue));
double expResult = exp.Last.Value;
// log(exp(x)) should equal x
Assert.Equal(logValue, Math.Log(expResult), Tolerance);
}
[Fact]
public void Exptrans_Negative_ReturnsPositive()
{
var indicator = new Exptrans();
var time = DateTime.UtcNow;
// exp(x) is always positive for any finite x
for (int i = -10; i <= 10; i++)
{
indicator.Update(new TValue(time.AddMinutes(i + 10), i));
Assert.True(indicator.Last.Value > 0);
}
}
}