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https://github.com/chillerlan/php-qrcode.git
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🚿 clean up some (int) casts
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@@ -12,7 +12,7 @@
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namespace chillerlan\QRCode\Decoder;
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use chillerlan\QRCode\Data\QRMatrix;
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use function array_fill, count, max;
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use function array_fill, count, intdiv, max;
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/**
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* This class implements a local thresholding algorithm, which while slower than the
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@@ -167,13 +167,14 @@ final class Binarizer{
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// Quickly calculates the histogram by sampling four rows from the image. This proved to be
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// more robust on the blackbox tests than sampling a diagonal as we used to do.
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$buckets = array_fill(0, self::LUMINANCE_BUCKETS, 0);
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$right = intdiv(($width * 4), 5);
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$x = intdiv($width, 5);
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for($y = 1; $y < 5; $y++){
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$row = (int)($height * $y / 5);
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$row = intdiv(($height * $y), 5);
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$localLuminances = $this->source->getRow($row);
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$right = (int)(($width * 4) / 5);
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for($x = (int)($width / 5); $x < $right; $x++){
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for(; $x < $right; $x++){
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$pixel = ($localLuminances[$x] & 0xff);
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$buckets[($pixel >> self::LUMINANCE_SHIFT)]++;
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}
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@@ -262,7 +263,7 @@ final class Binarizer{
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//
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// The default assumption is that the block is light/background. Since no estimate for
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// the level of dark pixels exists locally, use half the min for the block.
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$average = (int)($min / 2);
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$average = ($min / 2);
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if($y > 0 && $x > 0){
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// Correct the "white background" assumption for blocks that have neighbors by comparing
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@@ -272,7 +273,7 @@ final class Binarizer{
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// the boundaries is used for the interior.
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// The (min < bp) is arbitrary but works better than other heuristics that were tried.
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$averageNeighborBlackPoint = (int)(
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$averageNeighborBlackPoint = (
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($blackPoints[($y - 1)][$x] + (2 * $blackPoints[$y][($x - 1)]) + $blackPoints[($y - 1)][($x - 1)]) / 4
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);
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