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I am attesting that this GitHub handle andrevenancio is linked to the Tezos account tz1eht4WAjkqU7kaupJd8qCDmec9HuKfGf68 for tzprofiles | |
sig:edsigtcwSHrvNnWVxEM2TYPshEKgGetgix9JGYVeHkKsv39xwZtGRKtJvynRFkQbHaxCuSr15GiWkoBGWh6z4cPGVSx8ps7egiN |
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var Box2D={}; | |
(function(F,G){function K(){}if(!(Object.prototype.defineProperty instanceof Function)&&Object.prototype.__defineGetter__ instanceof Function&&Object.prototype.__defineSetter__ instanceof Function)Object.defineProperty=function(y,w,A){A.get instanceof Function&&y.__defineGetter__(w,A.get);A.set instanceof Function&&y.__defineSetter__(w,A.set)};F.inherit=function(y,w){K.prototype=w.prototype;y.prototype=new K;y.prototype.constructor=y};F.generateCallback=function(y,w){return function(){w.apply(y,arguments)}}; | |
F.NVector=function(y){if(y===G)y=0;for(var w=Array(y||0),A=0;A<y;++A)w[A]=0;return w};F.is=function(y,w){if(y===null)return false;if(w instanceof Function&&y instanceof w)return true;if(y.constructor.__implements!=G&&y.constructor.__implements[w])return true;return false};F.parseUInt=function(y){return Math.abs(parseInt(y))}})(Box2D);var Vector=Array,Vector_a2j_Number=Box2D.NVector;if(typeof Box2D==="undefined")Box2D={};if(typeof Box2D.Collision==="undefined")Box2D.Collision={}; | |
if(typeof Bo |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"/> | |
<title>gl-matrix Class and chaining </title> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/benchmark/1.0.0/benchmark.min.js"></script> | |
<script src="./suite.js"></script> | |
</head> | |
<body> | |
<h1>Open the console to view the results</h1> |
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// list conflicted copies | |
find ~/Dropbox/ -path "*(*'s conflicted copy [0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]*" -print | |
// remove conflicted copies | |
find ~/Dropbox/ -path "*(*'s conflicted copy [0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]*" -exec rm -f {} \; |
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find ~/Dropbox/ -name "node_modules" -type d -exec rm -rf '{}' + |
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var pos = tracker.getCurrentPosition(); | |
var angleRadians = Math.atan2(pos[25][1] - pos[23][1], pos[25][0] - pos[23][0]); |
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let lastTime = Date.now(); | |
const N = 24; | |
update() { | |
requestAnimationFrame(update); | |
// refresh only N times per second | |
if (Date.now() - lastTime < 1000 / N) { | |
return; | |
} |
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correlation(curData, oldData, minCorrelation) { | |
const sampledDataWidth = 80; | |
const sampledDataHeight = 60; | |
let count = 0; | |
const total = curData.data.length; | |
for (let i = 0; i < total; i += 4) { | |
// sampling the R channel, since the images are grayscaled and threshold samplying any of the channels will give the same results. | |
if (curData.data[i] !== oldData.data[i]) { | |
count++; | |
} |
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threshold(pixels, threshold) { | |
const d = pixels.data; | |
for (let i = 0; i < d.length; i += 4) { | |
const r = d[i + 0]; | |
const g = d[i + 1]; | |
const b = d[i + 2]; | |
let v = 0; | |
if ((r + g + b) > threshold) { | |
v = 255; | |
} |
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grayscale(pixels, contrast, brightness) { | |
const d = pixels.data; | |
for (let i = 0; i < d.length; i += 4) { | |
const r = d[i + 0]; | |
const g = d[i + 1]; | |
const b = d[i + 2]; | |
const a = d[i + 3]; | |
let v = 0.2126 * r + 0.7152 * g + 0.0722 * b; | |
if (contrast && brightness) { |
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