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style: format code with dotnet-format

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This commit fixes the style issues introduced in 1e77eb8 according to the output
from dotnet-format.

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This commit is contained in:
deepsource-autofix[bot]
2024-10-06 06:59:26 +00:00
committed by GitHub
parent 1e77eb80a4
commit 5fe968754f
116 changed files with 1773 additions and 2748 deletions
Download Patch File Download Diff File Expand all files Collapse all files
lib/averages/Dsma.cs
+2 -2
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@@ -52,13 +52,13 @@ public class Dsma : AbstractBase
// SuperSmoother filter coefficients
double _a1 = Math.Exp(-1.414 * Math.PI / (0.5 * period));
double _b1 = 2 * _a1 * Math.Cos(1.414 * Math.PI / (0.5 * period));
_c2 = _b1;
_c3 = -_a1 * _a1;
_c1 = 1 - _c2 - _c3;
Name = "Dsma";
WarmupPeriod = (int) (period * 1.5); // A conservative estimate
WarmupPeriod = (int)(period * 1.5); // A conservative estimate
Init();
}
lib/averages/Frama.cs
+1 -1
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@@ -45,7 +45,7 @@ namespace QuanTAlib
protected override double Calculation()
{
ManageState(Input.IsNew);
_buffer.Add(Input.Value, Input.IsNew);
if (_buffer.Count < _period)
lib/averages/Mgdi.cs
+5 -2
View File
@@ -40,7 +40,9 @@ public class Mgdi : AbstractBase
{
_p_prevMd = _prevMd;
_index++;
} else {
}
else
{
_prevMd = _p_prevMd;
}
}
@@ -50,7 +52,8 @@ public class Mgdi : AbstractBase
ManageState(Input.IsNew);
double value = Input.Value;
if (_index < 2){
if (_index < 2)
{
_prevMd = value;
}
else
lib/averages/Qema.cs
+3 -3
View File
@@ -6,9 +6,9 @@ public class Qema : AbstractBase
private readonly Ema _ema1, _ema2, _ema3, _ema4;
private double _lastQema, _p_lastQema;
public Qema(double k1=0.2, double k2=0.2, double k3=0.2, double k4=0.2) : base()
public Qema(double k1 = 0.2, double k2 = 0.2, double k3 = 0.2, double k4 = 0.2) : base()
{
if (k1 <= 0 || k2 <= 0 || k3 <= 0 || k4 <= 0 )
if (k1 <= 0 || k2 <= 0 || k3 <= 0 || k4 <= 0)
{
throw new ArgumentOutOfRangeException("All k values must be in the range (0, 1].");
}
@@ -26,7 +26,7 @@ public class Qema : AbstractBase
Name = $"QEMA ({k1:F2},{k2:F2},{k3:F2},{k4:F2})";
double smK = Math.Min(Math.Min(_k1, _k2), Math.Min(_k3, _k4));
WarmupPeriod = (int) ((2 - smK) / smK);
WarmupPeriod = (int)((2 - smK) / smK);
Init();
}
lib/averages/Rma.cs
+71 -55
View File
@@ -1,65 +1,81 @@
using System;
using System.Runtime.CompilerServices;
namespace QuanTAlib {
namespace QuanTAlib
{
public class Rma : AbstractBase {
private readonly int _period;
private double _alpha;
private double _lastRMA;
private double _savedLastRMA;
public class Rma : AbstractBase
{
private readonly int _period;
private double _alpha;
private double _lastRMA;
private double _savedLastRMA;
public Rma(int period) : base() {
if (period < 1) {
throw new ArgumentException("Period must be greater than or equal to 1.", nameof(period));
}
_period = period;
WarmupPeriod = period * 2;
_alpha = 1.0 / _period; // Wilder's smoothing factor
Name = $"Rma({_period})";
Init();
}
public Rma(object source, int period) : this(period) {
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
}
public override void Init() {
base.Init();
_lastRMA = 0;
_savedLastRMA = 0;
}
protected override void ManageState(bool isNew) {
if (isNew) {
_savedLastRMA = _lastRMA;
_lastValidValue = Input.Value;
_index++;
} else {
_lastRMA = _savedLastRMA;
}
}
protected override double Calculation() {
ManageState(Input.IsNew);
double rma;
if (_index == 1) {
rma = Input.Value;
} else if (_index <= _period) {
// Simple average during initial period
rma = (_lastRMA * (_index - 1) + Input.Value) / _index;
} else {
// Wilder's smoothing method
rma = _alpha * (Input.Value - _lastRMA) + _lastRMA;
public Rma(int period) : base()
{
if (period < 1)
{
throw new ArgumentException("Period must be greater than or equal to 1.", nameof(period));
}
_period = period;
WarmupPeriod = period * 2;
_alpha = 1.0 / _period; // Wilder's smoothing factor
Name = $"Rma({_period})";
Init();
}
_lastRMA = rma;
IsHot = _index >= WarmupPeriod;
public Rma(object source, int period) : this(period)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
}
return rma;
public override void Init()
{
base.Init();
_lastRMA = 0;
_savedLastRMA = 0;
}
protected override void ManageState(bool isNew)
{
if (isNew)
{
_savedLastRMA = _lastRMA;
_lastValidValue = Input.Value;
_index++;
}
else
{
_lastRMA = _savedLastRMA;
}
}
protected override double Calculation()
{
ManageState(Input.IsNew);
double rma;
if (_index == 1)
{
rma = Input.Value;
}
else if (_index <= _period)
{
// Simple average during initial period
rma = (_lastRMA * (_index - 1) + Input.Value) / _index;
}
else
{
// Wilder's smoothing method
rma = _alpha * (Input.Value - _lastRMA) + _lastRMA;
}
_lastRMA = rma;
IsHot = _index >= WarmupPeriod;
return rma;
}
}
}
}
lib/averages/T3.cs
+27 -12
View File
@@ -1,6 +1,7 @@
namespace QuanTAlib;
public class T3 : AbstractBase {
public class T3 : AbstractBase
{
private readonly int _period;
private readonly double _vfactor;
private readonly bool _useSma;
@@ -9,8 +10,10 @@ public class T3 : AbstractBase {
private double _lastEma1, _lastEma2, _lastEma3, _lastEma4, _lastEma5, _lastEma6;
private double _p_lastEma1, _p_lastEma2, _p_lastEma3, _p_lastEma4, _p_lastEma5, _p_lastEma6;
public T3(int period, double vfactor = 0.7, bool useSma = true) {
if (period < 1) {
public T3(int period, double vfactor = 0.7, bool useSma = true)
{
if (period < 1)
{
throw new ArgumentException("Period must be greater than or equal to 1.", nameof(period));
}
_period = period;
@@ -37,12 +40,14 @@ public class T3 : AbstractBase {
Init();
}
public T3(object source, int period, double vfactor = 0.7, bool useSma = true) : this(period, vfactor, useSma) {
public T3(object source, int period, double vfactor = 0.7, bool useSma = true) : this(period, vfactor, useSma)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
}
public override void Init() {
public override void Init()
{
_lastEma1 = _lastEma2 = _lastEma3 = _lastEma4 = _lastEma5 = _lastEma6 = 0;
_buffer1.Clear();
_buffer2.Clear();
@@ -52,8 +57,10 @@ public class T3 : AbstractBase {
_buffer6.Clear();
}
protected override void ManageState(bool isNew) {
if (isNew) {
protected override void ManageState(bool isNew)
{
if (isNew)
{
_lastValidValue = Input.Value;
_index++;
_p_lastEma1 = _lastEma1;
@@ -62,7 +69,9 @@ public class T3 : AbstractBase {
_p_lastEma4 = _lastEma4;
_p_lastEma5 = _lastEma5;
_p_lastEma6 = _lastEma6;
} else {
}
else
{
_lastEma1 = _p_lastEma1;
_lastEma2 = _p_lastEma2;
_lastEma3 = _p_lastEma3;
@@ -73,14 +82,18 @@ public class T3 : AbstractBase {
}
protected override double Calculation() {
protected override double Calculation()
{
ManageState(Input.IsNew);
double ema1, ema2, ema3, ema4, ema5, ema6;
if (_index == 1) {
if (_index == 1)
{
ema1 = ema2 = ema3 = ema4 = ema5 = ema6 = Input.Value;
} else if (_index <= _period && _useSma) {
}
else if (_index <= _period && _useSma)
{
_buffer1.Add(Input.Value, Input.IsNew);
ema1 = _buffer1.Average();
_buffer2.Add(ema1, Input.IsNew);
@@ -93,7 +106,9 @@ public class T3 : AbstractBase {
ema5 = _buffer5.Average();
_buffer6.Add(ema5, Input.IsNew);
ema6 = _buffer6.Average();
} else {
}
else
{
ema1 = _k * (Input.Value - _lastEma1) + _lastEma1;
ema2 = _k * (ema1 - _lastEma2) + _lastEma2;
ema3 = _k * (ema2 - _lastEma3) + _lastEma3;
lib/averages/Tema.cs
+1 -1
View File
@@ -58,7 +58,7 @@ public class Tema : AbstractBase
{
double result, _ema1, _ema2, _ema3;
ManageState(Input.IsNew);
_e = (_e > 1e-10) ? (1 - _k) * _e : 0;
double _invE = (_e > 1e-10) ? 1 / (1 - _e) : 1;
lib/averages/Zlema.cs
+1 -1
View File
@@ -55,7 +55,7 @@ public class Zlema : AbstractBase
protected override double Calculation()
{
ManageState(Input.IsNew);
_buffer!.Add(Input.Value, Input.IsNew);
int lag = Math.Max(Math.Min((int)((_period - 1) * 0.5), _buffer.Count - 1), 0) + 1;