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from setuptools import setup | ||
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with open('DESCRIPTION.txt') as f: | ||
long_description = f.read() | ||
LONG_DESCRIPTION = """ | ||
Ordinal hashing of multidimensonal data and geographic coordinates via Morton coding / Z-ordering. | ||
In mathematical analysis and computer science, `Z-order`, `Morton-order`, or a `Morton-code` is a function | ||
which maps multidimensional data to one dimension while preserving locality of the data points. | ||
It was introduced in 1966 by IBM researcher, G. M. Morton. The z-value of a point in multidimensions is | ||
calculated by interleaving the binary representations of its coordinate values. Once the data are sorted | ||
into this ordering, any one-dimensional data structure can be used, such as binary search trees, B-trees, | ||
skip lists, or hash tables. The resulting ordering can equivalently be described as the order one would | ||
achieve from a depth-first traversal of a quadtree, where `{x, y, ..., K}` are combined into a single | ||
ordinal value that is easily compared, searched, and indexed against other Morton numbers. | ||
""" | ||
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def build(): | ||
setup( | ||
name='pymorton', | ||
version='1.0.4', | ||
version='1.0.5', | ||
author='Trevor Prater', | ||
author_email='[email protected]', | ||
description='A lightweight morton coder with lat/long support.', | ||
long_description=long_description, | ||
long_description=LONG_DESCRIPTION, | ||
license='MIT', | ||
keywords='nearest neighbors, geo hashing, geo, z-order, morton coding, hashing', | ||
url='https://github.com/trevorprater/pymorton', | ||
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