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// A variable template that doesn't work, because it uses an asynchronous API.
const JSON = require('JSON');
const sendHttpRequest = require('sendHttpRequest');

sendHttpRequest('https://api.openweathermap.org/data/2.5/weather?lat=52.3746027&lon=6.6810724&appid=[enter_api_key_here]&units=metric&lang=nl', (statusCode, headers, response) => {
  
  response = JSON.parse(response);
  
  return response;
  

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let Gpio
const express = require('express')
const router = express.Router()

// Onoff cannot be installed on devices without Gpio
try {
  Gpio = require('onoff').Gpio
} catch (err) {
  Gpio = {
    accessible: false

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from fuzzywuzzy import fuzz
from fuzzywuzzy import process

def fuzzy_flask(request):
    """Responds to a HTTP request.
    Args:
        request (flask.Request): HTTP request object.
    Returns:
        The response text or any set of values that can be turned into a
        Response object using

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// Add your own Cloud Function URL here:
var CLOUDFUNCTIONSURL = 'https://europe-west1-cloud-functions-example.cloudfunctions.net/example';

var search_terms = ["buy nike shoes", "adidas online", "rebok cloths"]; // With some spelling errors
var brands = ["nike", "adidas", "reebok"];

function main() {
  
  var json = {
    "searchterms": search_terms,

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def hello_world(request):
    """Responds to any HTTP request.
    Args:
        request (flask.Request): HTTP request object.
    Returns:
        The response text or any set of values that can be turned into a
        Response object using
        `make_response <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.make_response>`.
    """
    request_json = request.get_json()

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/**
 * Responds to a HTTP request.
 *
 * @param {!express:Request} req HTTP request context.
 * @param {!express:Response} res HTTP response context.
 */
exports.helloWorld = (req, res) => {
  let example_content = req.body.example_content || 'Error, no example_content found in json';
  let another_example_content = req.body.another_example_content || 'Error, no another_example_content found in json';
  

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// Add your own Cloud Function URL here:
var CLOUDFUNCTIONSURL = 'https://europe-west1-example.cloudfunctions.net/example';

function main() {
  
  var json = {
    "example_content": "Whatever you want to send to your Cloud Function",
    "another_example_content": ["You", "can", "also", "use", "arrays", "here"]
  };

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var search_terms = ['buy nike shoes','adidas online','rebok cloths']; // With some spelling errors
var brands = ['nike','adidas','reebok'];

for (var i=0; i<search_terms.length; i++) {

    for (var j=0; j<brands.length; j++) {

        if(search_terms[i].indexOf(brands[j]) !== -1) {
            // Do whatever you want to do when the search term contains a brand name
        }

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import gpxpy
import matplotlib.pyplot as plt
import datetime
from geopy import distance
from math import sqrt, floor
import numpy as np
import pandas as pd
import haversine

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# Here we loop over sections
for section in sections:

    if df['distance_dis_3d'].sum() < section: # If the total distance of the workout is smaller then the section we're looking for we can skip this iteration.
        continue

    df_output = pd.DataFrame(columns=['date', 'section', 'filename', 'time', 'distance', 'minutes_per_kilometer', 'total_distance', 'total_time'])

    for i in range(len(df_selected.index)):