klappy

/**
 * Tiny tokenizer - https://gist.github.com/borgar/451393
 * @param {String} string - string to be tokenized
 * @param {Object} parsers - { word:/\w+/, whitespace:/\s+/, punctuation:/[^\w\s]/ }
 * @param {String} deftok - type to label tokens that are not classified with the above parsers
 * @return {Array} - array of objects => [{ token:"this", type:"word" },{ token:" ", type:"whitespace" }, Object { token:"is", type:"word" }, ... ]
**/
export const classifyTokens = (string, parsers, deftok) => {
  string = (!string) ? '' : string; // if string is undefined, make it an empty string
  if (typeof string !== 'string') {

klappy

let XRegExp = require('xregexp');
let nonUnicodeLetter = XRegExp('[^\\pL\\pM]+?');

var sentence = "This is a sentence-with some punctuation, and it will be split-up."
console.log("sentence: ", sentence)

var tokens = sentence.split(nonUnicodeLetter)
console.log("tokens: ", tokens)

_sentence = sentence

klappy

var assignments = {
  "Hindi-ULB" : {
    "Matthew": {
      "Milestone 1": {
        "assigned": [1,2,3,4,5,6,7,8,9,10,11,12,13],
        "completed": [1,2,3,4,5]
      },
      "Milestone 2": {
        "assigned": [1,2,3,4,5],
        "completed": [1,2]

klappy

//
//  SKMultilineLabel.swift
//
//  Created by Craig on 10/04/2015
//  Modified by Christopher Klapp on 11/21/2015 for line breaks \n for paragraphs 
//  Copyright (c) 2015 Interactive Coconut. All rights reserved.
//
/*   USE:

(most component parameters have defaults)

klappy

Privacy Policy

Last updated: November 08, 2015

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This page informs you of our policies regarding the collection, use and disclosure of Personal Information when you use our Service.

We will not use or share your information with anyone except as described in this Privacy Policy.

klappy

samples = 100000.times.with_object([]){|i,a|a.push ["heads","tails"].sample}

#always choose heads
samples.map{|coin|coin=="heads"}.group_by{|o|o}.map.with_object({}){|h,o|o[h[0]]=h[1].count}[true].to_f/1000

#alternate every other call
samples.map.with_index{|coin,i|coin==(i.even? ? "heads" : "tails")}.group_by{|o|o}.map.with_object({}){|h,o|o[h[0]]=h[1].count}[true].to_f/1000

#randomly choose
samples.map{|coin|coin==["heads","tails"].sample}.group_by{|o|o}.map.with_object({}){|h,o|o[h[0]]=h[1].count}[true].to_f/1000