bleroy

Weave(new[] { 1, 2, 3 }, new[] { 4, 5, 6 }) -> [1, 4, 2, 5, 3, 6]

bleroy

IEnumerable<T> Weave<T>(IEnumerable<T> first, IEnumerable<T> second)
    => first
        .Zip(second, (a, b) => (a, b))
        .SelectMany(pair => new[] { pair.a, pair.b });

bleroy

(U, T) Swap<T, U>((T x, U y) pair) => (pair.y, pair.x);

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javascript: {
  Object.defineProperty(Object.prototype, undefined, {
    set: function(v) {
      debugger;
    }
  })
};
void(0);

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let someProperty, someOtherProperty;

function setProperty(target, propertyName, value) {
  target[propertyName] = value;
}

function getProperty(target, propertyName) {
  return target[propertyName];
}

bleroy

'use strict';

const a = {foo: 'bar'};
let b, c;

a[b] = 42;

console.log(a[c]); // outputs: 42

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function setProperty(target, propertyName, value) {
  target[propertyName] = value;
}

function getProperty(target, propertyName) {
  return target[propertyName];
}

bleroy

The second word of the sentence 'add your text here!' is your
The third lemma of the sentence 'add your text here!' is text
The parse of the sentence 'add your text here!' is (ROOT (S (VP (VB add) (NP (PRP$ your) (NN text)) (ADVP (RB here))) (. !)))
The second word of the sentence 'It can contain multiple sentences.' is can
The third lemma of the sentence 'It can contain multiple sentences.' is contain
The parse of the sentence 'It can contain multiple sentences.' is (ROOT (S (NP (PRP It)) (VP (MD can) (VP (VB contain) (NP (JJ multiple) (NNS sentences)))) (. .)))

bleroy

open edu.stanford.nlp.simple

// Create a document. No computation is done yet.
let doc : Document = new Document("add your text here! It can contain multiple sentences.");
let sentences = doc.sentences().toArray()
for sentObj in sentences do  // Will iterate over two sentences
    let sent : Sentence = sentObj :?> Sentence
    // We're only asking for words -- no need to load any models yet
    Console.WriteLine("The second word of the sentence '{0}' is {1}", sent, sent.word(1));
    // When we ask for the lemma, it will load and run the part of speech tagger

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