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        "author": "Teng Liu",
        "author_email": "lewtonstein@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
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        "description": "# SweeplineVT -- Voronoi Tessellation using sweep-line algorithm\n\n[SweeplineVT github](https://github.com/lewtonstein/SweeplineVT)\n\n```\npip install SweeplineVT\n```\n\n## Description\n* Voronoi Tessellation on the basis of the sweep-line algorithm developed by Steven Fortune in 1986\n* Make centroidal Voronoi Tessellation (CVT)\n* Make Delaunay triangulation\n* Take accurate positions of points with no need of pixelation / binning.\n* Confine Voronoi diagram to a rectangular region\n## Examples\n### Make Voronoi Tessellation for a list of points\n* The content of \"example.dat\"\n\n```\n-0.5 1.5\n1.1 3.3\n2.9 5.7\n3.1 4.3\n5.4 2.6\n6.3 3.1\n```\n\n```\nslvt.py example.dat --calCentroid\npl_VT.py example_VT.dat example_ctd.dat -s\n```\n\nThe red points are the Voronoi sites (input points from \"example.dat\"). The green lines connect each sites with the corresponding cell centroid.\n\n![example](https://github.com/lewtonstein/SweeplineVT/blob/master/SweeplineVT/doc/example_VT.png?raw=true)\n\n### Make centroidal Voronoi Tessellation (CVT) of 14 points in 0<x<7, 0<y<5.\n```\nslvt.py --makeCVT 14 --border 0,7,0,5 -s\npl_VT.py CVT14_VT.dat -s\n```\n\n\"-s\" of slvt.py means \"silent\". \"-s\" of pl_VT.py means \"step\".\n\n* One possible result you might see:   \n![CVT14](https://github.com/lewtonstein/SweeplineVT/blob/master/SweeplineVT/doc/CVT14_VT.png?raw=true)\n\n\n### Show the distribution of cell area\n\n```\nfrom SweeplineVT import Voronoi\nimport pylab as pl\nx=np.random.random(size=10)\ny=np.random.random(size=10)\nvor=Voronoi(events=np.vstack((x,y)).T,calarea=True,autoscale=False)\nArea,ind,cts=vor.getarealist()\nArea/=np.array(cts)\npl.hist(Area)\n```\n\n\n## Output files\n* {FileName}_VT.dat: each item corresponds to one cell edge. The 9 columns are:\n + 1: index of edge\n + 2-3 and 3-4: coordinates of the two Voronoi vertices (nodes) of the edge\n + 5-6 and 7-8: coordiantes of the two nearest Voronoi sites (The Delaunay diagram)\n\n* With \"--calCentroid\", {FileName}_ctd.dat: each item corresponds to one cell. The 6 columns are:\n + 1: index of cell / site.\n + 2-3: Voronoi site of the cell\n + 4-5: centroid of the cell\n + 6: area of the cell\n + 7: site duplication number (>1 means duplicated)\n\n* With \"--calarea\", {FileName}_area.dat: each item corresponds to one cell. The 6 columns are:\n + 1: index of cell / site.\n + 2-3: Voronoi site of the cell\n + 4: area of the cell\n + 5: site duplication number (>1 means duplicated)\n\n\n\n\n",
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