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// Single Element

// ---
var Nav;
// Define Nav as tag, component, anything.

// Input (JSX): To be written by you.
var app = <Nav color="blue"/>;

// Output (JS): Compiled and converted to this by Babel.

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// Form Declaration.
var MyFormComponent = React.createClass({ ... });

// Subcomponents declaration.
MyFormComponent.Row = React.createClass({ ... });
MyFormComponent.Label = React.createClass({ ... });
MyFormComponent.Input = React.createClass({ ... });

// Actual app.
var App = (

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// Input (JSX):

var person = <Person name={window.isLoggedIn ? window.name : ''}>;

// Output (JS):

var person = React.createElement(
  Person,
  {name: window.isLoggedIn ? window.name : ''}

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// Input (JSX):

var content = <Container>{window.isLoggedIn ? <Nav /> : <Login />}</Container>;

// Output (JS):

var content = React.createElement(
  Container,
  null,
  window.isLoggedIn ? React.createElement(Nav) : React.createElement(Login)

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var props = {};
props.foo = x;
props.bar = y;

// Write your attribute with the props defined.
var component = <Component {...props} />;

//--

// If needs to be changed later, this could be done.

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vector<int> Knuth_Morris_Pratt(string text,string pattern)
{
  vector<int> F = build_failure_function(pattern); 
  vector<int> positions;
  int i = 0; // state of automaton
  int j = 0; // position of counter in string.
  
  for( ; ; ) {
    if(j == n) break; // we reached the end of the text

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/*************** Kmp Functions. ***************/

void compute(int * kmparr, char * pattern, int patternlength) {
	int m = patternlength;
	kmparr[0] = 0;
	int len = 0, i;
	for (i = 1; i < m; ++i)
	{
		if (pattern[i] == pattern[len])
		{

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import numpy as np
import tensorflow as tf
from random import shuffle

class Glove:
	"""docstring for Glove"""
	def __init__(self, corpus, context_size=2, learning_rate=0.05, batch_size=100, num_epochs=100):
		super(Glove, self).__init__()
		self.corpus = corpus
		self.CONTEXT_SIZE = context_size