| Conditions | 4 |
| Paths | 2 |
| Total Lines | 67 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
| 1 | <?php |
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| 100 | private function directVincenty(Coordinate $point, float $bearing, float $distance): DirectVincentyBearing |
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| 101 | { |
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| 102 | $phi1 = deg2rad($point->getLat()); |
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| 103 | $lambda1 = deg2rad($point->getLng()); |
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| 104 | $alpha1 = deg2rad($bearing); |
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| 105 | |||
| 106 | $a = $point->getEllipsoid()->getA(); |
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| 107 | $b = $point->getEllipsoid()->getB(); |
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| 108 | $f = 1 / $point->getEllipsoid()->getF(); |
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| 109 | |||
| 110 | $sinAlpha1 = sin($alpha1); |
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| 111 | $cosAlpha1 = cos($alpha1); |
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| 112 | |||
| 113 | $tanU1 = (1 - $f) * tan($phi1); |
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| 114 | $cosU1 = 1 / sqrt(1 + $tanU1 * $tanU1); |
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| 115 | $sinU1 = $tanU1 * $cosU1; |
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| 116 | $sigma1 = atan2($tanU1, $cosAlpha1); |
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| 117 | $sinAlpha = $cosU1 * $sinAlpha1; |
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| 118 | $cosSquAlpha = 1 - $sinAlpha * $sinAlpha; |
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| 119 | $uSq = $cosSquAlpha * ($a * $a - $b * $b) / ($b * $b); |
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| 120 | $A = 1 + $uSq / 16384 * (4096 + $uSq * (-768 + $uSq * (320 - 175 * $uSq))); |
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| 121 | $B = $uSq / 1024 * (256 + $uSq * (-128 + $uSq * (74 - 47 * $uSq))); |
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| 122 | |||
| 123 | $sigmaS = $distance / ($b * $A); |
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| 124 | $sigma = $sigmaS; |
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| 125 | $iterations = 0; |
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| 126 | |||
| 127 | do { |
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| 128 | $cos2SigmaM = cos(2 * $sigma1 + $sigma); |
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| 129 | $sinSigma = sin($sigma); |
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| 130 | $cosSigma = cos($sigma); |
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| 131 | $deltaSigma = $B * $sinSigma |
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| 132 | * ($cos2SigmaM + $B / 4 |
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| 133 | * ($cosSigma |
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| 134 | * (-1 + 2 * $cos2SigmaM * $cos2SigmaM) - $B / 6 |
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| 135 | * $cos2SigmaM * (-3 + 4 * $sinSigma * $sinSigma) |
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| 136 | * (-3 + 4 * $cos2SigmaM * $cos2SigmaM) |
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| 137 | ) |
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| 138 | ); |
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| 139 | $sigmaS = $sigma; |
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| 140 | $sigma = $distance / ($b * $A) + $deltaSigma; |
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| 141 | } while (abs($sigma - $sigmaS) > 1e-12 && ++$iterations < 200); |
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| 142 | |||
| 143 | if ($iterations >= 200) { |
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| 144 | throw new NotConvergingException('Inverse Vincenty Formula did not converge'); |
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| 145 | } |
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| 146 | |||
| 147 | $tmp = $sinU1 * $sinSigma - $cosU1 * $cosSigma * $cosAlpha1; |
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| 148 | $phi2 = atan2( |
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| 149 | $sinU1 * $cosSigma + $cosU1 * $sinSigma * $cosAlpha1, |
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| 150 | (1 - $f) * sqrt($sinAlpha * $sinAlpha + $tmp * $tmp) |
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| 151 | ); |
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| 152 | $lambda = atan2($sinSigma * $sinAlpha1, $cosU1 * $cosSigma - $sinU1 * $sinSigma * $cosAlpha1); |
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| 153 | $C = $f / 16 * $cosSquAlpha * (4 + $f * (4 - 3 * $cosSquAlpha)); |
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| 154 | $L = $lambda |
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| 155 | - (1 - $C) * $f * $sinAlpha |
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| 156 | * ($sigma + $C * $sinSigma * ($cos2SigmaM + $C * $cosSigma * (-1 + 2 * $cos2SigmaM ** 2))); |
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| 157 | $lambda2 = fmod($lambda1 + $L + 3 * M_PI, 2 * M_PI) - M_PI; |
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| 158 | |||
| 159 | $alpha2 = atan2($sinAlpha, -$tmp); |
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| 160 | $alpha2 = fmod($alpha2 + 2 * M_PI, 2 * M_PI); |
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| 161 | |||
| 162 | return new DirectVincentyBearing( |
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| 163 | new Coordinate(rad2deg($phi2), rad2deg($lambda2), $point->getEllipsoid()), |
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| 164 | rad2deg($alpha2) |
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| 165 | ); |
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| 166 | } |
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| 167 | |||
| 255 |