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package org.locationtech.jts.index.quadtree; |
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/** |
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* Provides a test for whether an interval is |
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* so small it should be considered as zero for the purposes of |
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* inserting it into a binary tree. |
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* The reason this check is necessary is that round-off error can |
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* cause the algorithm used to subdivide an interval to fail, by |
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* computing a midpoint value which does not lie strictly between the |
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* endpoints. |
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* |
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* @version 1.7 |
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*/ |
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public class IntervalSize { |
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/** |
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* This value is chosen to be a few powers of 2 less than the |
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* number of bits available in the double representation (i.e. 53). |
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* This should allow enough extra precision for simple computations to be correct, |
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* at least for comparison purposes. |
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*/ |
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public static final int MIN_BINARY_EXPONENT = -50; |
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/** |
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* Computes whether the interval [min, max] is effectively zero width. |
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* I.e. the width of the interval is so much less than the |
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* location of the interval that the midpoint of the interval cannot be |
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* represented precisely. |
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*/ |
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public static boolean isZeroWidth(double min, double max) |
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{ |
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double width = max - min; |
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if (width == 0.0) return true; |
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double maxAbs = Math.max(Math.abs(min), Math.abs(max)); |
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double scaledInterval = width / maxAbs; |
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int level = DoubleBits.exponent(scaledInterval); |
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return level <= MIN_BINARY_EXPONENT; |
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} |
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} |
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