Files
QuanTAlib/lib/trends/mama/Mama.Tests.cs
T
Miha Kralj b26d5d7751 Enhance code quality and stability across various modules
- Updated .coderabbit.yaml to exclude additional file types from reviews, improving the focus on relevant code changes.
- Modified scanner.sh to handle test failures more gracefully, ensuring that analysis stops on test failures and improving logging.
- Improved sonarscanner.sh to ensure build and test failures are properly reported, enhancing CI reliability.
- Refined SimdExtensions.cs documentation for clarity on variance calculation methods.
- Cleaned up TSeries.Tests.cs by simplifying the test structure and ensuring proper namespace usage.
- Fixed potential issues in tseries.cs by ensuring correct handling of DateTime values.
- Enhanced CsvFeed.cs to improve error handling during CSV parsing, ensuring robustness against malformed data.
- Updated GBM.cs to correctly calculate volume in the current bar, ensuring accurate simulation.
- Adjusted index.html to use globalThis for better compatibility across environments.
- Refined quantalib.csproj to exclude unnecessary files from compilation, streamlining the build process.
- Added comprehensive tests for the Mama class to ensure correct behavior during updates and state management.
- Improved error handling in various trend classes (Kama, Dema, Ema, T3, Tema, Wma) to ensure NaN values are managed correctly.
- Removed redundant Mama.Repro.Tests.cs file and consolidated tests into Mama.Tests.cs for better organization.
- Enhanced T3 and Tema classes to maintain state integrity during updates, particularly with NaN values.
2025-12-10 14:51:58 -05:00

103 lines
2.9 KiB
C#

using System;
using Xunit;
namespace QuanTAlib;
public class MamaTests
{
[Fact]
public void Constructor_InvalidParameters_ThrowsArgumentException()
{
Assert.Throws<ArgumentException>(() => new Mama(fastLimit: 0.05, slowLimit: 0.5)); // fast < slow
Assert.Throws<ArgumentException>(() => new Mama(fastLimit: 0.5, slowLimit: -0.1)); // slow < 0
Assert.Throws<ArgumentException>(() => new Mama(fastLimit: 0.0, slowLimit: 0.05)); // fast <= 0
}
[Fact]
public void Update_ValidInput_CalculatesMamaAndFama()
{
var mama = new Mama(fastLimit: 0.5, slowLimit: 0.05);
var input = new TValue(DateTime.UtcNow, 100.0);
var result = mama.Update(input);
Assert.Equal(100.0, result.Value); // First value should be price
Assert.Equal(100.0, mama.Fama.Value);
}
[Fact]
public void Update_NaN_HandlesGracefully()
{
var mama = new Mama();
var input = new TValue(DateTime.UtcNow, double.NaN);
var result = mama.Update(input);
// Should return 0.0 (last valid price default) instead of NaN to avoid state corruption
Assert.Equal(0.0, result.Value);
}
[Fact]
public void Update_Series_ReturnsSameCount()
{
var mama = new Mama();
var source = new TSeries();
source.Add(new TValue(DateTime.UtcNow, 100.0));
source.Add(new TValue(DateTime.UtcNow.AddMinutes(1), 101.0));
var result = mama.Update(source);
Assert.Equal(source.Count, result.Count);
}
[Fact]
public void Chain_Update_Works()
{
var mama = new Mama(0.5, 0.05);
// Manually chain for test
bool eventFired = false;
mama.Pub += (item) => eventFired = true;
mama.Update(new TValue(DateTime.UtcNow, 100.0));
Assert.True(eventFired);
}
[Fact]
public void Update_Series_AppendsData()
{
var mama1 = new Mama();
var mama2 = new Mama();
var data = new TSeries();
var now = DateTime.UtcNow;
for (int i = 0; i < 50; i++)
{
data.Add(new TValue(now.AddMinutes(i), 100.0 + Math.Sin(i * 0.1) * 10));
}
// Case 1: Update all at once
var result1 = mama1.Update(data);
// Case 2: Update in chunks
var chunk1 = new TSeries();
var chunk2 = new TSeries();
for (int i = 0; i < 25; i++) chunk1.Add(data[i]);
for (int i = 25; i < 50; i++) chunk2.Add(data[i]);
mama2.Update(chunk1);
var result2 = mama2.Update(chunk2);
// Verify final state is same
Assert.Equal(mama1.Last.Value, mama2.Last.Value, 6);
Assert.Equal(mama1.Fama.Value, mama2.Fama.Value, 6);
// Verify the returned series from the second chunk matches the second half of the full result
for (int i = 0; i < 25; i++)
{
Assert.Equal(result1[25 + i].Value, result2[i].Value, 6);
}
}
}