Files
2026-02-10 21:33:16 -08:00

153 lines
4.1 KiB
C#

// SQRTTRANS: Square Root Transformer
// Transforms values using the square root function √x
using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// SQRTTRANS: Square Root Transformer
/// Applies √x transformation to input values.
/// </summary>
/// <remarks>
/// Key properties:
/// - Inverse of squaring: sqrt(x²) = |x| for x ≥ 0
/// - Compresses large values while expanding small ones
/// - Only defined for non-negative inputs
/// - Useful for variance to standard deviation conversion
/// </remarks>
[SkipLocalsInit]
public sealed class Sqrttrans : AbstractBase
{
private record struct State(double LastValid);
private State _state, _p_state;
public override bool IsHot => true; // No warmup needed
public Sqrttrans()
{
Name = "Sqrttrans";
WarmupPeriod = 0;
}
/// <summary>
/// Creates a Square Root transformer with source for event-based chaining.
/// </summary>
/// <param name="source">Source indicator for chaining</param>
public Sqrttrans(ITValuePublisher source) : this()
{
source.Pub += HandleUpdate;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private void HandleUpdate(object? sender, in TValueEventArgs e) => Update(e.Value, e.IsNew);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override TValue Update(TValue input, bool isNew = true)
{
if (isNew)
{
_p_state = _state;
}
else
{
_state = _p_state;
}
double value = input.Value;
double result;
if (double.IsFinite(value) && value >= 0)
{
result = Math.Sqrt(value);
_state = new State(result);
}
else
{
// For negative values or non-finite, use last valid
result = _state.LastValid;
}
Last = new TValue(input.Time, result);
PubEvent(Last, isNew);
return Last;
}
public override TSeries Update(TSeries source)
{
var result = new TSeries(source.Count);
ReadOnlySpan<double> values = source.Values;
ReadOnlySpan<long> times = source.Times;
for (int i = 0; i < source.Count; i++)
{
var tv = Update(new TValue(new DateTime(times[i], DateTimeKind.Utc), values[i]), true);
result.Add(tv, true);
}
return result;
}
public override void Prime(ReadOnlySpan<double> source, TimeSpan? step = null)
{
TimeSpan interval = step ?? TimeSpan.FromSeconds(1);
DateTime time = DateTime.UtcNow - (interval * source.Length);
for (int i = 0; i < source.Length; i++)
{
Update(new TValue(time, source[i]), true);
time += interval;
}
}
public static TSeries Batch(TSeries source)
{
var indicator = new Sqrttrans();
return indicator.Update(source);
}
/// <summary>
/// Calculates square root over a span of values.
/// </summary>
public static void Batch(ReadOnlySpan<double> source, Span<double> output)
{
if (source.Length == 0)
{
throw new ArgumentException("Source cannot be empty", nameof(source));
}
if (output.Length < source.Length)
{
throw new ArgumentException("Output length must be >= source length", nameof(output));
}
double lastValid = 0.0; // sqrt(0) = 0
for (int i = 0; i < source.Length; i++)
{
double val = source[i];
if (double.IsFinite(val) && val >= 0)
{
lastValid = Math.Sqrt(val);
output[i] = lastValid;
}
else
{
output[i] = lastValid;
}
}
}
public static (TSeries Results, Sqrttrans Indicator) Calculate(TSeries source)
{
var indicator = new Sqrttrans();
TSeries results = indicator.Update(source);
return (results, indicator);
}
public override void Reset()
{
_state = default;
_p_state = default;
Last = default;
}
}