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Upgrade with rector

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This commit is contained in:
Alex Wulf
2022-07-05 16:21:06 +02:00
parent fd5d276359
commit 689e3b75fe
38 changed files with 144 additions and 355 deletions
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2
src/Numerics/DiagonalMatrix.php
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@ -14,7 +14,7 @@ class DiagonalMatrix extends Matrix
for ($currentRow = 0; $currentRow < $rowCount; $currentRow++) {
for ($currentCol = 0; $currentCol < $colCount; $currentCol++) {
if ($currentRow == $currentCol) {
if ($currentRow === $currentCol) {
$this->setValue($currentRow, $currentCol, $diagonalValues[$currentRow]);
} else {
$this->setValue($currentRow, $currentCol, 0);

23
src/Numerics/GaussianDistribution.php
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@ -8,12 +8,8 @@ namespace DNW\Skills\Numerics;
* @author Jeff Moser <jeff@moserware.com>
* @copyright 2010 Jeff Moser
*/
class GaussianDistribution
class GaussianDistribution implements \Stringable
{
private $_mean;
private $_standardDeviation;
// precision and precisionMean are used because they make multiplying and dividing simpler
// (the the accompanying math paper for more details)
private $_precision;
@ -22,11 +18,9 @@ class GaussianDistribution
private $_variance;
public function __construct($mean = 0.0, $standardDeviation = 1.0)
public function __construct(private $_mean = 0.0, private $_standardDeviation = 1.0)
{
$this->_mean = $mean;
$this->_standardDeviation = $standardDeviation;
$this->_variance = BasicMath::square($standardDeviation);
$this->_variance = BasicMath::square($_standardDeviation);
if ($this->_variance != 0) {
$this->_precision = 1.0 / $this->_variance;
@ -34,11 +28,7 @@ class GaussianDistribution
} else {
$this->_precision = \INF;
if ($this->_mean == 0) {
$this->_precisionMean = 0;
} else {
$this->_precisionMean = \INF;
}
$this->_precisionMean = $this->_mean == 0 ? 0 : \INF;
}
}
@ -172,9 +162,8 @@ class GaussianDistribution
$multiplier = 1.0 / ($standardDeviation * sqrt(2 * M_PI));
$expPart = exp((-1.0 * BasicMath::square($x - $mean)) / (2 * BasicMath::square($standardDeviation)));
$result = $multiplier * $expPart;
return $result;
return $multiplier * $expPart;
}
public static function cumulativeTo($x, $mean = 0.0, $standardDeviation = 1.0)
@ -267,7 +256,7 @@ class GaussianDistribution
return $mean - sqrt(2) * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2 * $x);
}
public function __toString()
public function __toString(): string
{
return sprintf('mean=%.4f standardDeviation=%.4f', $this->_mean, $this->_standardDeviation);
}

20
src/Numerics/Matrix.php
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@ -6,19 +6,10 @@ use Exception;
class Matrix
{
const ERROR_TOLERANCE = 0.0000000001;
public const ERROR_TOLERANCE = 0.0000000001;
private $_matrixRowData;
private $_rowCount;
private $_columnCount;
public function __construct($rows = 0, $columns = 0, $matrixData = null)
public function __construct(private $_rowCount = 0, private $_columnCount = 0, private $_matrixRowData = null)
{
$this->_rowCount = $rows;
$this->_columnCount = $columns;
$this->_matrixRowData = $matrixData;
}
public static function fromColumnValues($rows, $columns, $columnValues)
@ -37,9 +28,8 @@ class Matrix
return $result;
}
public static function fromRowsColumns()
public static function fromRowsColumns(...$args)
{
$args = \func_get_args();
$rows = $args[0];
$cols = $args[1];
$result = new Matrix($rows, $cols);
@ -138,7 +128,7 @@ class Matrix
$firstRowColValue = $this->_matrixRowData[0][$currentColumn];
$cofactor = $this->getCofactor(0, $currentColumn);
$itemToAdd = $firstRowColValue * $cofactor;
$result = $result + $itemToAdd;
$result += $itemToAdd;
}
return $result;
@ -258,7 +248,7 @@ class Matrix
$leftValue = $left->getValue($currentRow, $vectorIndex);
$rightValue = $right->getValue($vectorIndex, $currentColumn);
$vectorIndexProduct = $leftValue * $rightValue;
$productValue = $productValue + $vectorIndexProduct;
$productValue += $vectorIndexProduct;
}
$resultMatrix[$currentRow][$currentColumn] = $productValue;

3
src/Numerics/SquareMatrix.php
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@ -4,9 +4,8 @@ namespace DNW\Skills\Numerics;
class SquareMatrix extends Matrix
{
public function __construct()
public function __construct(...$allValues)
{
$allValues = func_get_args();
$rows = (int) sqrt(count($allValues));
$cols = $rows;