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execfile("/your/path/to/videomaker.py")
videomaker(
    ts_min=1352261778000, # "from" timestamp..
    ts_max=1352262378000, # .."to" timestamp
    frames=20, # number of images in the video. eg 200 frames for a video at 20 frames per seconds = 10 seconds of video
    output_prefix="/path/to/output/dir/frame_", # path where to write the png. images will be prefixed with "frame_" 
    output_format=".png" # you probably want to leave png here
)

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 void main(void) {
     vec2 pos = mod(gl_FragCoord.xy, vec2(50.0)) - vec2(25.0);
     gl_FragColor = mix(vec4(.90, .90, .90, 1.0), vec4(.20, .20, .40, 1.0), smoothstep(380.25, 420.25, dot(pos, pos)));
 }

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const React          = require('react');
const IdyllComponent = require('idyll-component');
const Graph          = require('react-graph-vis').default;

const options = {
  layout: {
    hierarchical: true
  },
  edges: {
    color: "#000000"

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Unicode = {
    /* Strings to match Unicode characters in the BMP according to their Unicode category.
       Extracted from Unicode specification, version 5.0.0, source:
       http://unicode.org/versions/Unicode5.0.0/
    */
    /*
        Abbr    Long                Description
        Lu  Uppercase_Letter        an uppercase letter
        Ll  Lowercase_Letter        a lowercase letter
        Lt  Titlecase_Letter        a digraphic character, with first part uppercase

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'use strict'

import React, { Component, PropTypes } from 'react'
import { findDOMNode } from 'react-dom'

import c3 from 'c3'
import 'c3/c3.css'

const emptyFunc = () => {};

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// Execution time: 1048
// { rss: 1028186112, heapTotal: 1015271424, heapUsed: 969132048 }

var start = new Date().getTime();

var arr = [];
for (i = 0; i < 10000000; ++i) {
  arr.push([Math.random(),  Math.random()])
}

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function total(opts){
  var plats = opts.plats.reduce((r,p) => r + p)
  return plats + (opts.livraison / opts.nbPersonnes) - (plats * opts.reduction)
}

total({
  plats: [3.10, 8.20, 0.30], // prix des plats d'une personne
  livraison: 1.50, // 12h-13h
  reduction: 0.15, // 15%

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(new AWS.S3()).getObject(Bucket: 'myBucket', Key: 'myImageFile.jpg').createReadStream().pipe(require('fs').createWriteStream('/path/to/file.jpg'))

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#!/bin/bash
cd modules/application && mvn nbm:cluster-app nbm:run-platform

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result = do (value=some(operation(42))) ->
  throw Error "too low" if value < 0.5
  value