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import React, { Component } from 'react';
import {
  Text,
  View,
  TouchableOpacity,
  ActivityIndicator,
  Navigator
} from 'react-native';
import {GoogleSignin} from 'react-native-google-signin';
import Firestack from 'react-native-firestack'

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Source: https://tc.gts3.org/cs6265/2017/l/lab04/README-tut.txt

====================================
Lec04: Writing Exploits with PwnTool
====================================


  http://docs.pwntools.com/
  http://docs.pwntools.com/en/stable/intro.html

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export const GoogleApi = function(opts) {
  opts = opts || {}

  const apiKey = opts.apiKey;
  const libraries = opts.libraries || [];
  const client = opts.client;
  const URL = 'https://maps.googleapis.com/maps/api/js';

  const googleVersion = '3.22';
  let script = null;

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cycler==0.10.0
kiwisolver==1.3.1
matplotlib==3.3.4
numpy==1.19.5
Pillow==8.2.0
pyparsing==2.4.7
python-dateutil==2.8.1
six==1.16.0

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angular.module('myApp', 
  ['ngRoute', 'myApp.services', 'myApp.directives']
)
.config(function(AWSServiceProvider) {
  AWSServiceProvider.setArn('arn:aws:iam::<ACCOUNT_ID>:role/google-web-role');
})
.config(function(StripeServiceProvider) {
  StripeServiceProvider.setPublishableKey('pk_test_YOURKEY');
})
.config(function($routeProvider) {

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angular.module('restangularDemoApp', [
  'restangular',
  'ngCookies'
])
.constant('apiKey', 'YOUR_Mongolab_API_KEY')
.config(function(RestangularProvider, apiKey) {
  RestangularProvider.setBaseUrl('https://api.mongolab.com/api/1/databases/YOURDATABASE/collections');
    RestangularProvider.setDefaultRequestParams({ 
      apiKey: apiKey
    })

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<div ng-app="wizardApp">
  <div ng-controller="WizardSignupController">
    <h2>Signup wizard</h2>
    <div ui-view></div>
  </div>
</div>
<script type="text/javascript" src="/js/vendor/angular-ui-router/release/angular-ui-router.min.js"></script>
<script type="text/javascript">
  angular.module('wizardApp', [
    'ui.router',

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const splitTotal = (total, n) => {
  let arr = [];
  let i = 0;
  while (i < n) {
    arr.push(Math.floor(Math.random() * total) + 1)
    i++;
  }
  const sorted = [0].concat(arr, [total]).sort((a, b) => a - b);

  let out = [];

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import numpy as np
import pandas as pd
np.random.seed(1)

# train comes from the titantic dataset provided by 
# kaggle (https://www.kaggle.com/c/titanic/data)
df = pd.read_csv('./data/titanic-train.csv')

def preprocess(raw_data):
    # Preprocess data

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def nn(X, y, hiddenLayerSize=10, learningRate=0.01, epochs=100, debug=False):
    m = X.shape[1]
    outputSize = y.shape[1]

    # Make our model
    model = dict(
        w0 = np.random.randn(m, hiddenLayerSize),
        w1 = np.random.randn(hiddenLayerSize, outputSize)
    )