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style: format code with dotnet-format

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This commit fixes the style issues introduced in ed45c9e according to the output
from dotnet-format.

Details: None
This commit is contained in:
deepsource-autofix[bot]
2024-10-06 07:24:57 +00:00
committed by GitHub
parent ed45c9e5b8
commit 40842ba5fc
116 changed files with 1773 additions and 2748 deletions
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lib/statistics/Slope.cs
+29 -14
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@@ -8,7 +8,8 @@ namespace QuanTAlib;
/// statistical measures such as intercept, standard deviation, R-squared, and the last
/// point on the regression line. It uses the least squares method for calculation.
/// </remarks>
public class Slope : AbstractBase {
public class Slope : AbstractBase
{
private readonly int _period;
private readonly CircularBuffer _buffer;
private readonly CircularBuffer _timeBuffer;
@@ -24,8 +25,10 @@ public class Slope : AbstractBase {
/// <exception cref="ArgumentOutOfRangeException">
/// Thrown when period is less than or equal to 1.
/// </exception>
public Slope(int period) {
if (period <= 1) {
public Slope(int period)
{
if (period <= 1)
{
throw new ArgumentOutOfRangeException(nameof(period), period,
"Period must be greater than 1 for Slope/Linear Regression.");
}
@@ -43,7 +46,8 @@ public class Slope : AbstractBase {
/// </summary>
/// <param name="source">The source object to subscribe to for value updates.</param>
/// <param name="period">The period over which to calculate the slope.</param>
public Slope(object source, int period) : this(period) {
public Slope(object source, int period) : this(period)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
}
@@ -51,7 +55,8 @@ public class Slope : AbstractBase {
/// <summary>
/// Initializes the Slope instance by clearing buffers and resetting calculated values.
/// </summary>
public override void Init() {
public override void Init()
{
base.Init();
_buffer.Clear();
_timeBuffer.Clear();
@@ -65,8 +70,10 @@ public class Slope : AbstractBase {
/// Manages the state of the Slope instance based on whether a new value is being processed.
/// </summary>
/// <param name="isNew">Indicates whether the current input is a new value.</param>
protected override void ManageState(bool isNew) {
if (isNew) {
protected override void ManageState(bool isNew)
{
if (isNew)
{
_lastValidValue = Input.Value;
_index++;
}
@@ -84,7 +91,8 @@ public class Slope : AbstractBase {
/// If there are fewer than 2 data points, or if the sum of squared x deviations is 0,
/// the method returns 0 and sets the additional properties to null.
/// </remarks>
protected override double Calculation() {
protected override double Calculation()
{
ManageState(Input.IsNew);
_buffer.Add(Input.Value, Input.IsNew);
@@ -92,7 +100,8 @@ public class Slope : AbstractBase {
double slope = 0;
if (_buffer.Count < 2) {
if (_buffer.Count < 2)
{
return slope; // Return 0 when there are fewer than 2 points
}
@@ -101,7 +110,8 @@ public class Slope : AbstractBase {
// Calculate averages
double sumX = 0, sumY = 0;
for (int i = 0; i < count; i++) {
for (int i = 0; i < count; i++)
{
sumX += i + 1;
sumY += values[i];
}
@@ -110,7 +120,8 @@ public class Slope : AbstractBase {
// Least squares method
double sumSqX = 0, sumSqY = 0, sumSqXY = 0;
for (int i = 0; i < count; i++) {
for (int i = 0; i < count; i++)
{
double devX = (i + 1) - avgX;
double devY = values[i] - avgY;
sumSqX += devX * devX;
@@ -118,7 +129,8 @@ public class Slope : AbstractBase {
sumSqXY += devX * devY;
}
if (sumSqX > 0) {
if (sumSqX > 0)
{
slope = sumSqXY / sumSqX;
Intercept = avgY - (slope * avgX);
@@ -127,14 +139,17 @@ public class Slope : AbstractBase {
double stdDevY = Math.Sqrt(sumSqY / count);
StdDev = stdDevY;
if (stdDevX * stdDevY != 0) {
if (stdDevX * stdDevY != 0)
{
double r = sumSqXY / (stdDevX * stdDevY) / count;
RSquared = r * r;
}
// Calculate last Line value (y = mx + b)
Line = (slope * count) + Intercept;
} else {
}
else
{
Intercept = null;
StdDev = null;
RSquared = null;