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| from random import uniform, shuffle | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| L = 500 # number of cells in row | |
| num_iters = 500 # number of iterations | |
| density = 0.48 # how many positives | |
| vmax = 2 | |
| p = 0.2 |
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| import snap | |
| # requires python 2.7 and 64-bit machine | |
| G1 = snap.TUNGraph.New() | |
| with open("data/edges.csv") as f: | |
| for line in f: | |
| tokens = line.split() | |
| n1, n2, weight = int(tokens[0]), int(tokens[1]), int(tokens[2]) | |
| if not G1.IsNode(n1): | |
| G1.AddNode(n1) |
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| function createField(width, height) { | |
| var field = new Uint8Array(width * height); | |
| var fcenterX = Math.floor(width / 2); | |
| var fcenterY = Math.floor(height / 2); | |
| // center occupied | |
| field[fcenterX + fcenterY * width] = 1; | |
| return { field: field, width:width, height:height}; | |
| } |
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| from random import uniform | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| from random import sample | |
| n = 200 # number of cells in row | |
| num_iters = 200 # number of iterations | |
| density = 0.5 # how many positives | |
| # rule 184 |
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| <!DOCTYPE html> | |
| <html> | |
| <title>Network | Images</title> | |
| <head> | |
| <link href="http://visjs.org/dist/vis.css" rel="stylesheet" type="text/css" /> | |
| <script src="http://visjs.org/dist/vis.js"></script> | |
| <script type="text/javascript"> | |
| function draw() { | |
| var nodes = [ | |
| {id: 1, label: 'SLR1', group: 'source', value: 10}, |
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| var TLE = | |
| (function () { | |
| function isCorrupted(line) { | |
| var checksum = parseInt(line[line.length-1]); | |
| var computedChecksum = line.slice(0,line.length-1) | |
| .replace(/[\-\-]/g,"1") | |
| .replace(/[a-zA-Z\.+\s]/g,"") | |
| .split("") | |
| .map(function(digit) { return parseInt(digit) }) | |
| .reduce(function(prev, current) {return prev + current;}, 0) % 10; |
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