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extension NotificationsMyStreet {
    

    func prepareVars(request:Request) throws -> DataFromClientSendNotifications {
        
        
        struct ObjectReceived: NodeInitializable {
            let title: String
            let body: String
            let unreadMessagesCount: Int

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    override func viewWillAppear(_ animated: Bool) {
        let url =  URL(string: "https://www.hrupin.com/wp-content/uploads/mp3/testsong_20_sec.mp3")!
            self.playSound(url: url)
            addPeriodicTimeObserver()
    }
    
    
     var player: AVAudioPlayer?

    func playSound(url: URL) {

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import UIKit
import MediaPlayer
import AVFoundation

class FirstViewController: UIViewController, MPMediaPickerControllerDelegate {

    
    
    @IBAction func loadMusic(_ sender: Any) {
    

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//
//  MediaTableViewCell.swift
//  myStreet.com
//
//  Created by Bogdan Barbulescu on 12/04/2018.
//  Copyright © 2018 vividapartments. All rights reserved.
//

import UIKit
import SAMCache

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import AVFoundation
import PlaygroundSupport

PlaygroundPage.current.needsIndefiniteExecution = true

class AudioPlayer {
    var topAudioFiles: [AVAudioFile] = []
    var engine:AVAudioEngine
    var backgroundAudioNode: AVAudioPlayerNode
    var backgroundAudioFile: AVAudioFile

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extension ChatViewController {


    
     struct NotificationInfoChat {
        
        let title: String
        let body: String
        let chatUID: String
        let unreadMessagesCount: Int

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//
//  extensionNotificationsMyStreet.swift
//  App
//
//  Created by Bogdan Barbulescu on 10/08/2018.
//

import Foundation
import Vapor
import HTTP

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{
  "addressType" : "Residential",
  "adminAreaCode" : "",
  "adminAreaName" : "Barking and Dagenham",
  "block" : "",
  "buildingName" : "Bath House",
  "buildingNumber" : "5",
  "city" : "Barking",
  "company" : "",
  "countryIso2" : "GB",

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1. 
Landlord userType will subscribed to: 

a) (locality or city)-(building)-landlord
b) (locality or city)-(street)-landlord
c) (city or locality)-residents       <only one of them>

d) (locality or city)-(building or street)-residents 

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myDataFrame = pd.read_csv('Loan_payments_data_2020_unclean.csv')

columnsDict = {"columnName": list(myDataFrame.columns)}
columnsDataFrame = pd.DataFrame(columnsDict)

replacedColumns = columnsDataFrame['columnName'].str.replace(r'(?<![^_]).', lambda x: x.group().upper())
myDataFrame.columns = list(replacedColumns)

myDataFrame['Gender'] = myDataFrame['Gender'].str.replace('^\s*$', 'NaN')