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/*
Typescript allows you to create types that transform existing types into new types.

Here's a TodoList class with a single readonly array property and two fluent methods.
*/

class TodoList {
  constructor(readonly items: ReadonlyArray<TodoItem> = []) { 
  }

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//. Define some character sets
type LowerChar = 'a' | 'b' | 'c' | 'd' | 'e' | 'f' | 'g' | 'h' | 'i' | 'j' |
             'k' | 'l' | 'm' | 'n' | 'o' | 'p' | 'q' | 'r' | 's' | 't' |
             'u' | 'v' | 'w' | 'x' | 'y' | 'z';
type UpperChar = `${Capitalize<LowerChar>}` 
type AlphaChar = LowerChar | UpperChar;
type NumChar = '1' | '2' | '3' | '4' | '5' | '6' | '7' | '8' | '9' | '0';

type IsType<T extends string, U> = T extends U ? T : never;

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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows;
using System.Windows.Media;
using System.Windows.Media.Animation;

namespace WPFAnimations

sgoguen

// Given an interface like this, I can have TypeScript automatically 
// generate message types from all of the "update" methods below.
export interface Person {
  // We'll ignore these properties
  name: string;
  age: number;
  dob: Date;

  // We'll ignore any method that returns void (We want methods to return new methods)
  setDate(newDate: Date): void;

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enum TrustLevel {
  None,
  AcceptAllSolutionsTrustLevel
}

class SomeComponent {
  private authenticated = false;
  private isStaff = false;
  private currentUser = {
    id: 123,

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/// <summary>
///   Builds a map where the keys are word signatures and
///   each value is the list of words that share that signature.
///   The signature of a word is simply a string containing
///   the word's letters, sorted. Thus "dog" and "god" will
///   both have the signature "dgo", and the entry in the map
///   with that key will be those two words.
///
///   This let's us quickly find anagrams
/// </summary>

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Full Metal Jacket

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Full Metal Jacket

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let items = [
    "1 1/2 cup onions, diced"
    "1/4 tsp coriander"
    "1 medium carrot"
    "1.5 oz olive oil"
    "two lemons"
    "mint"
]

let tokenize(s) = [ for t in Regex.Split(s, "\\b") do

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// First, clone the word list project here:  https://github.com/dwyl/english-words.git
// Then save this file in the same folder and run!

open System.IO

//  Ok...  Here's how it works...

//  First, we load all the words from the Moby text fil
let allTheWords = File.ReadAllLines("words.txt")