@@ -21,9 +21,9 @@ |
||
| 21 | 21 | protected $b; |
| 22 | 22 | |
| 23 | 23 | public function setUp() : void { |
| 24 | - $this->a = matrix::uniform(500,500); |
|
| 24 | + $this->a = matrix::uniform(500, 500); |
|
| 25 | 25 | |
| 26 | - $this->b = matrix::uniform(50,50); |
|
| 26 | + $this->b = matrix::uniform(50, 50); |
|
| 27 | 27 | } |
| 28 | 28 | |
| 29 | 29 | /** |
@@ -13,7 +13,7 @@ |
||
| 13 | 13 | /** |
| 14 | 14 | * @var \Np\matrix |
| 15 | 15 | */ |
| 16 | - protected $a,$b; |
|
| 16 | + protected $a, $b; |
|
| 17 | 17 | |
| 18 | 18 | public function setUp() : void { |
| 19 | 19 | $this->a = matrix::uniform(500, 500); |
@@ -2,7 +2,7 @@ |
||
| 2 | 2 | |
| 3 | 3 | namespace Np\benchmarks\matrix\arithmetic; |
| 4 | 4 | |
| 5 | -use Np\{matrix,vector}; |
|
| 5 | +use Np\{matrix, vector}; |
|
| 6 | 6 | |
| 7 | 7 | /** |
| 8 | 8 | * @Groups({"Arithmetic"}) |
@@ -26,8 +26,10 @@ |
||
| 26 | 26 | $lead = 0; |
| 27 | 27 | $ar = $m->copyMatrix(); |
| 28 | 28 | for ($r = 0; $r < $ar->row; ++$r) { |
| 29 | - if ($lead >= $ar->col) |
|
| 30 | - break; { |
|
| 29 | + if ($lead >= $ar->col) { |
|
| 30 | + break; |
|
| 31 | + } |
|
| 32 | + { |
|
| 31 | 33 | $i = $r; |
| 32 | 34 | while ($ar->data[$i * $ar->col + $lead] == 0) { |
| 33 | 35 | $i++; |
@@ -19,11 +19,11 @@ |
||
| 19 | 19 | |
| 20 | 20 | class ref { |
| 21 | 21 | |
| 22 | - /** |
|
| 23 | - * |
|
| 24 | - * @param \Np\matrix $m |
|
| 25 | - * @return matrix|null |
|
| 26 | - */ |
|
| 22 | + /** |
|
| 23 | + * |
|
| 24 | + * @param \Np\matrix $m |
|
| 25 | + * @return matrix|null |
|
| 26 | + */ |
|
| 27 | 27 | public static function factory(\Np\matrix $m): matrix|null { |
| 28 | 28 | $ipiv = vector::factory(min($m->row, $m->col), vector::INT); |
| 29 | 29 | $ar = $m->copyMatrix(); |
@@ -24,10 +24,10 @@ |
||
| 24 | 24 | * @param \Np\matrix $m |
| 25 | 25 | * @return matrix|null |
| 26 | 26 | */ |
| 27 | - public static function factory(\Np\matrix $m): matrix|null { |
|
| 27 | + public static function factory(\Np\matrix $m): matrix | null { |
|
| 28 | 28 | $ipiv = vector::factory(min($m->row, $m->col), vector::INT); |
| 29 | 29 | $ar = $m->copyMatrix(); |
| 30 | - if($m->dtype == matrix::FLOAT) { |
|
| 30 | + if ($m->dtype == matrix::FLOAT) { |
|
| 31 | 31 | $lp = lapack::sgetrf($ar, $ipiv); |
| 32 | 32 | if ($lp != 0) { |
| 33 | 33 | return null; |
@@ -1,6 +1,6 @@ |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare (strict_types=1); |
|
| 3 | +declare(strict_types=1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Np\decompositions; |
| 6 | 6 | |
@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare (strict_types=1); |
|
| 3 | +declare(strict_types=1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Np\decompositions; |
| 6 | 6 | |
@@ -28,7 +28,7 @@ discard block |
||
| 28 | 28 | * @return matrix|null |
| 29 | 29 | * @throws RuntimeException |
| 30 | 30 | */ |
| 31 | - public static function factory(matrix $m): matrix|null { |
|
| 31 | + public static function factory(matrix $m): matrix | null { |
|
| 32 | 32 | if ($m->isSquare()) { |
| 33 | 33 | $ar = $m->copyMatrix(); |
| 34 | 34 | $lp = lapack::potrf($ar); |
@@ -28,8 +28,7 @@ discard block |
||
| 28 | 28 | $r->data[$i] = $sigma; |
| 29 | 29 | } |
| 30 | 30 | return $r; |
| 31 | - } |
|
| 32 | - else { |
|
| 31 | + } else { |
|
| 33 | 32 | throw new \Exception('Err::given vectors has diffrent data type!'); |
| 34 | 33 | } |
| 35 | 34 | } |
@@ -70,8 +69,7 @@ discard block |
||
| 70 | 69 | } |
| 71 | 70 | } |
| 72 | 71 | return $rc; |
| 73 | - } |
|
| 74 | - else { |
|
| 72 | + } else { |
|
| 75 | 73 | throw new \Exception('Err::given matrixes has different data type!'); |
| 76 | 74 | } |
| 77 | 75 | } |
@@ -439,7 +439,7 @@ |
||
| 439 | 439 | * @param \Np\vector|\Np\matrix $v |
| 440 | 440 | * @return type |
| 441 | 441 | */ |
| 442 | - public static function scale(float $alpha, \Np\vector|\Np\matrix $v) { |
|
| 442 | + public static function scale(float $alpha, \Np\vector | \Np\matrix $v) { |
|
| 443 | 443 | self::init(); |
| 444 | 444 | if ($v->dtype == \Np\vector::DOUBLE) { |
| 445 | 445 | return self::$ffi_blas->cblas_dscal($v->ndim, $alpha, $v->data, 1); |