ghostjat /
Np
| 1 | <?php |
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| 2 | |||
| 3 | namespace Np; |
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| 4 | |||
| 5 | /** |
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| 6 | * Operations |
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| 7 | * A fast lite & memory efficient Scientific Computing for php |
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| 8 | * |
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| 9 | * @package Np |
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| 10 | * @category Scientific Computing |
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| 11 | * @author ghost (Shubham Chaudhary) |
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| 12 | * @email [email protected] |
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| 13 | * @copyright (c) 2020-2021, Shubham Chaudhary |
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| 14 | */ |
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| 15 | trait ops { |
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| 16 | |||
| 17 | /** |
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| 18 | * Return the element-wise maximum of two matrices| two vectors. |
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| 19 | * @param matrix|vector $d |
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| 20 | * @return matrix|vector |
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| 21 | */ |
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| 22 | public function max(matrix|vector $d): matrix|vector { |
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| 23 | if ($this instanceof matrix && $d instanceof matrix && $this->checkShape($this, $d)) { |
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| 24 | $r = self::factory($this->row, $this->col); |
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| 25 | } elseif ($this instanceof vector && $d instanceof vector && $this->checkShape($this, $d)) { |
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| 26 | $r = self::factory($this->col); |
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| 27 | } |
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| 28 | for ($i = 0; $i < $this->ndim; ++$i) { |
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| 29 | $r->data[$i] = max($this->data[$i], $d->data[$i]); |
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| 30 | } |
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| 31 | return $r; |
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| 32 | } |
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| 33 | |||
| 34 | /** |
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| 35 | * Return the element-wise minimum of two matrices|two vectors. |
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| 36 | * @param matrix|vector $d |
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| 37 | * @return matrix|vector |
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| 38 | */ |
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| 39 | public function min(matrix|vector $d): matrix|vector { |
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| 40 | if ($this instanceof matrix && $d instanceof matrix && $this->checkShape($this, $d)) { |
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| 41 | $r = self::factory($this->row, $this->col); |
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| 42 | } elseif ($this instanceof vector && $d instanceof vector && $this->checkShape($this, $d)) { |
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| 43 | $r = self::factory($this->col); |
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| 44 | } |
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| 45 | for ($i = 0; $i < $this->ndim; ++$i) { |
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| 46 | $r->data[$i] = max($this->data[$i], $d->data[$i]); |
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| 47 | } |
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| 48 | return $r; |
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| 49 | } |
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| 50 | |||
| 51 | /** |
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| 52 | * Run a function over all of the elements in the matrix|vector. |
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| 53 | * @param callable $func |
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| 54 | * @return matrix|vector |
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| 55 | */ |
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| 56 | public function map(callable $func): matrix|vector { |
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| 57 | if ($this instanceof matrix) { |
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| 58 | $r = self::factory($this->row, $this->col); |
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| 59 | } else { |
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| 60 | $r = self::factory($this->col); |
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| 61 | } |
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| 62 | for ($i = 0; $i < $this->ndim; ++$i) { |
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| 63 | $r->data[$i] = $func($this->data[$i]); |
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| 64 | } |
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| 65 | return $r; |
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| 66 | } |
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| 67 | |||
| 68 | public function abs(): matrix|vector { |
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| 69 | return $this->map('abs'); |
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| 70 | } |
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| 71 | |||
| 72 | public function sqrt(): matrix|vector { |
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| 73 | return $this->map('sqrt'); |
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| 74 | } |
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| 75 | |||
| 76 | public function exp(): matrix|vector { |
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| 77 | return $this->map('exp'); |
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| 78 | } |
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| 79 | |||
| 80 | public function exp1(): matrix|vector { |
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| 81 | return $this->map('exp1'); |
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| 82 | } |
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| 83 | |||
| 84 | public function log(float $b = M_E): matrix|vector { |
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| 85 | $ar = $this->copy(); |
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| 86 | for ($i = 0; $i < $ar->ndim; ++$i) { |
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| 87 | log($ar->data[$i], $b); |
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| 88 | } |
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| 89 | return $ar; |
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| 90 | } |
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| 91 | |||
| 92 | public function log1p(): matrix|vector { |
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| 93 | return $this->map('log1p'); |
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| 94 | } |
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| 95 | |||
| 96 | public function sin(): matrix|vector { |
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| 97 | return $this->map('sin'); |
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| 98 | } |
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| 99 | |||
| 100 | public function asin(): matrix|vector { |
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| 101 | return $this->map('asin'); |
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| 102 | } |
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| 103 | |||
| 104 | public function cos(): matrix|vector { |
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| 105 | return $this->map('cos'); |
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| 106 | } |
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| 107 | |||
| 108 | public function acos(): matrix|vector { |
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| 109 | return $this->map('acos'); |
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| 110 | } |
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| 111 | |||
| 112 | public function tan(): matrix|vector { |
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| 113 | return $this->map('tan'); |
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| 114 | } |
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| 115 | |||
| 116 | public function atan(): matrix|vector { |
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| 117 | return $this->map('atan'); |
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| 118 | } |
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| 119 | |||
| 120 | public function radToDeg(): matrix|vector { |
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| 121 | return $this->map('rad2deg'); |
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| 122 | } |
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| 123 | |||
| 124 | public function degToRad(): matrix|vector { |
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| 125 | return $this->map('deg2rad'); |
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| 126 | } |
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| 127 | |||
| 128 | public function floor(): matrix|vector { |
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| 129 | return $this->map('floor'); |
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| 130 | } |
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| 131 | |||
| 132 | public function ceil(): matrix|vector { |
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| 133 | return $this->map('ceil'); |
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| 134 | } |
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| 135 | |||
| 136 | public function free():void { |
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| 137 | if($this instanceof matrix) { |
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| 138 | unset($this->row); |
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| 139 | unset($this->col); |
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| 140 | unset($this->ndim); |
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| 141 | unset($this->dtype); |
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| 142 | unset($this->data); |
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| 143 | return; |
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| 144 | } |
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| 145 | unset($this->col); |
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| 146 | unset($this->ndim); |
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| 147 | unset($this->dtype); |
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| 148 | unset($this->data); |
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| 149 | return; |
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| 150 | } |
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| 151 | |||
| 152 | /** |
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| 153 | * make a copy of matrix|vector; |
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| 154 | * @return matrix|vector |
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| 155 | */ |
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| 156 | public function copy(): matrix|vector { |
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| 157 | return clone $this; |
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| 158 | } |
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| 159 | |||
| 160 | /** |
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| 161 | * Clip the elements in the matrix to be between given minimum and maximum |
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| 162 | * and return a new matrix. |
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| 163 | * |
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| 164 | * @param float $min |
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| 165 | * @param float $max |
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| 166 | * @return matrix |
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| 167 | */ |
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| 168 | public function clip(float $min, float $max): matrix|vector { |
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| 169 | if ($this instanceof matrix) { |
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| 170 | $ar = self::factory($this->row, $this->col); |
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| 171 | } else { |
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| 172 | $ar = self::factory($this->col); |
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| 173 | } |
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| 174 | for ($i = 0; $i < $this->ndim; ++$i) { |
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| 175 | if ($this->data[$i] > $max) { |
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| 176 | $ar->data[$i] = $max; |
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| 177 | continue; |
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| 178 | } |
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| 179 | if ($this->data[$i] < $min) { |
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| 180 | $ar->data[$i] = $min; |
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| 181 | continue; |
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| 182 | } |
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| 183 | $ar->data[$i] = $this->data[$i]; |
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| 184 | } |
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| 185 | return $ar; |
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| 186 | } |
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| 187 | |||
| 188 | /** |
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| 189 | * Clip the matrix|vector to be lower bounded by a given minimum. |
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| 190 | * @param float $min |
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| 191 | * @return matrix |
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| 192 | */ |
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| 193 | public function clipLower(float $min): matrix|vector { |
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| 194 | if ($this instanceof matrix) { |
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| 195 | $ar = self::factory($this->row, $this->col); |
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| 196 | } else { |
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| 197 | $ar = self::factory($this->col); |
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| 198 | } |
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| 199 | for ($i = 0; $i < $this->ndim; ++$i) { |
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| 200 | if ($this->data[$i] < $min) { |
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| 201 | $ar->data[$i] = $min; |
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| 202 | continue; |
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| 203 | } |
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| 204 | $ar->data[$i] = $this->data[$i]; |
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| 205 | } |
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| 206 | return $ar; |
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| 207 | } |
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| 208 | |||
| 209 | /** |
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| 210 | * Clip the matrix|vector to be upper bounded by a given maximum. |
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| 211 | * |
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| 212 | * @param float $max |
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| 213 | * @return matrix |
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| 214 | */ |
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| 215 | public function clipUpper(float $max): matrix|vector { |
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| 216 | if ($this instanceof matrix) { |
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| 217 | $ar = self::factory($this->row, $this->col); |
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| 218 | } else { |
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| 219 | $ar = self::factory($this->col); |
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| 220 | } |
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| 221 | for ($i = 0; $i < $this->ndim; ++$i) { |
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| 222 | if ($this->data[$i] > $max) { |
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| 223 | $ar->data[$i] = $max; |
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| 224 | continue; |
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| 225 | } |
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| 226 | $ar->data[$i] = $this->data[$i]; |
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| 227 | } |
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| 228 | return $ar; |
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| 229 | } |
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| 230 | |||
| 231 | /** |
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| 232 | * return a reshaped data buffer as matrix |
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| 233 | * @param int $row |
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| 234 | * @param int $col |
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| 235 | * @return matrix |
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| 236 | */ |
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| 237 | public function reshape(int $row, int $col): matrix { |
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| 238 | if ($this->ndim != $row * $col) { |
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| 239 | self::_dimensionaMisMatchErr('given dimenssion is not valid for current bufferData'); |
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| 240 | } |
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| 241 | if ($this instanceof vector) { |
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| 242 | $ar = matrix::factory($row, $col); |
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| 243 | $ar->data = $this->data; |
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| 244 | return $ar; |
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| 245 | } |
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| 246 | $this->row = $row; |
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| 247 | $this->col = $col; |
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| 248 | return $this; |
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| 249 | } |
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| 250 | } |
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| 251 |