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` 6` `"""KD tree data structure for searching N-dimensional vectors.`
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` 8` `The KD tree data structure can be used for all kinds of searches that`
` 9` `involve N-dimensional vectors. For example, neighbor searches (find all points`
`10` `within a radius of a given point) or finding all point pairs in a set`
`11` `that are within a certain radius of each other. See "Computational Geometry:`
`12` `Algorithms and Applications" (Mark de Berg, Marc van Kreveld, Mark Overmars,`
`13` `Otfried Schwarzkopf).`
`14` `"""`
`15` ` `
`16` `from` `.``KDTree` `import` `KDTree`
`17` ` `
`18` `__docformat__` `=` `"restructuredtext en"`
`19` ` `