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Much stricter coding standards for phpstan, phpstan and psalm.

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This commit is contained in:
Jens True
2025-04-15 08:14:08 +00:00
parent 3c617e9869
commit b38a9656eb
63 changed files with 137 additions and 134 deletions
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2
src/Numerics/BasicMath.php
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@@ -10,7 +10,7 @@ namespace DNW\Skills\Numerics;
* @author Jeff Moser <jeff@moserware.com>
* @copyright 2010 Jeff Moser
*/
class BasicMath
final class BasicMath
{
/**
* Squares the input (input^2 = input * input)

14
src/Numerics/GaussianDistribution.php
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@@ -10,7 +10,7 @@ namespace DNW\Skills\Numerics;
* @author Jeff Moser <jeff@moserware.com>
* @copyright 2010 Jeff Moser
*/
class GaussianDistribution
final class GaussianDistribution
{
private const float DEFAULT_STANDARD_DEVIATION = 1.0;
@@ -171,7 +171,7 @@ class GaussianDistribution
$meanDifference = $numerator->mean - $denominator->mean;
return log($denominator->variance) + self::M_LOG_SQRT_2_PI - log($varianceDifference) / 2.0 +
BasicMath::square($meanDifference) / (2 * $varianceDifference);
BasicMath::square($meanDifference) / (2.0 * $varianceDifference);
}
public static function at(float $var, float $mean = 0.0, float $standardDeviation = 1.0): float
@@ -182,7 +182,7 @@ class GaussianDistribution
// stdDev * sqrt(2*pi)
$multiplier = 1.0 / ($standardDeviation * self::M_SQRT_2_PI);
$expPart = exp((-1.0 * BasicMath::square($var - $mean)) / (2 * BasicMath::square($standardDeviation)));
$expPart = exp((-1.0 * BasicMath::square($var - $mean)) / (2.0 * BasicMath::square($standardDeviation)));
return $multiplier * $expPart;
}
@@ -200,7 +200,7 @@ class GaussianDistribution
$z = abs($var);
$t = 2.0 / (2.0 + $z);
$ty = 4 * $t - 2;
$ty = 4.0 * $t - 2.0;
$coefficients = [
-1.3026537197817094,
@@ -259,8 +259,8 @@ class GaussianDistribution
return 100;
}
$pp = ($p < 1.0) ? $p : 2 - $p;
$t = sqrt(-2 * log($pp / 2.0)); // Initial guess
$pp = ($p < 1.0) ? $p : 2.0 - $p;
$t = sqrt(-2.0 * log($pp / 2.0)); // Initial guess
$x = -M_SQRT1_2 * ((2.30753 + $t * 0.27061) / (1.0 + $t * (0.99229 + $t * 0.04481)) - $t);
for ($j = 0; $j < 2; ++$j) {
@@ -274,6 +274,6 @@ class GaussianDistribution
public static function inverseCumulativeTo(float $var, float $mean = 0.0, float $standardDeviation = 1.0): float
{
// From numerical recipes, page 320
return $mean - M_SQRT2 * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2 * $var);
return $mean - M_SQRT2 * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2.0 * $var);
}
}

2
src/Numerics/IdentityMatrix.php
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@@ -4,7 +4,7 @@ declare(strict_types=1);
namespace DNW\Skills\Numerics;
class IdentityMatrix extends DiagonalMatrix
final class IdentityMatrix extends DiagonalMatrix
{
public function __construct(int $rows)
{

24
src/Numerics/Matrix.php
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@@ -130,10 +130,10 @@ class Matrix
// | a b |
// | c d |
// The determinant is ad - bc
$a = $this->getValue(0, 0);
$b = $this->getValue(0, 1);
$c = $this->getValue(1, 0);
$d = $this->getValue(1, 1);
$a = (float)$this->getValue(0, 0);
$b = (float)$this->getValue(0, 1);
$c = (float)$this->getValue(1, 0);
$d = (float)$this->getValue(1, 1);
return $a * $d - $b * $c;
}
@@ -148,7 +148,7 @@ class Matrix
// I expand along the first row
for ($currentColumn = 0; $currentColumn < $this->columnCount; ++$currentColumn) {
$firstRowColValue = $this->getValue(0, $currentColumn);
$firstRowColValue = (float)$this->getValue(0, $currentColumn);
$cofactor = $this->getCofactor(0, $currentColumn);
$itemToAdd = $firstRowColValue * $cofactor;
$result += $itemToAdd;
@@ -201,7 +201,7 @@ class Matrix
public function getInverse(): Matrix|SquareMatrix
{
if (($this->rowCount == 1) && ($this->columnCount == 1)) {
return new SquareMatrix(1.0 / $this->getValue(0, 0));
return new SquareMatrix(1.0 / (float)$this->getValue(0, 0));
}
// Take the simple approach:
@@ -240,9 +240,9 @@ class Matrix
for ($currentRow = 0; $currentRow < $left->getRowCount(); ++$currentRow) {
for ($currentColumn = 0; $currentColumn < $right->getColumnCount(); ++$currentColumn) {
$resultMatrix[$currentRow][$currentColumn] =
$left->getValue($currentRow, $currentColumn)
(float)$left->getValue($currentRow, $currentColumn)
+
$right->getValue($currentRow, $currentColumn);
(float)$right->getValue($currentRow, $currentColumn);
}
}
@@ -268,8 +268,8 @@ class Matrix
$productValue = 0;
for ($vectorIndex = 0; $vectorIndex < $left->getColumnCount(); ++$vectorIndex) {
$leftValue = $left->getValue($currentRow, $vectorIndex);
$rightValue = $right->getValue($vectorIndex, $currentColumn);
$leftValue = (float)$left->getValue($currentRow, $vectorIndex);
$rightValue = (float)$right->getValue($vectorIndex, $currentColumn);
$vectorIndexProduct = $leftValue * $rightValue;
$productValue += $vectorIndexProduct;
}
@@ -339,8 +339,8 @@ class Matrix
for ($currentColumn = 0; $currentColumn < $this->columnCount; ++$currentColumn) {
$delta =
abs(
$this->getValue($currentRow, $currentColumn) -
$otherMatrix->getValue($currentRow, $currentColumn)
(float)$this->getValue($currentRow, $currentColumn) -
(float)$otherMatrix->getValue($currentRow, $currentColumn)
);
if ($delta > self::ERROR_TOLERANCE) {

2
src/Numerics/SquareMatrix.php
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@@ -4,7 +4,7 @@ declare(strict_types=1);
namespace DNW\Skills\Numerics;
class SquareMatrix extends Matrix
final class SquareMatrix extends Matrix
{
public function __construct(float|int ...$allValues)
{

2
src/Numerics/Vector.php
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@@ -4,7 +4,7 @@ declare(strict_types=1);
namespace DNW\Skills\Numerics;
class Vector extends Matrix
final class Vector extends Matrix
{
/**
* @param float[] $vectorValues