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<script>
  const checkIfUserAgentIsBot = (userAgent) => {
	  const robots = new RegExp(([
		/bot/,/spider/,/crawl/,                               // GENERAL TERMS
		/APIs-Google/,/AdsBot/,/Googlebot/,                   // GOOGLE ROBOTS
		/mediapartners/,/Google Favicon/,
		/FeedFetcher/,/Google-Read-Aloud/,
		/DuplexWeb-Google/,/googleweblight/,
		/bing/,/yandex/,/baidu/,/duckduck/,/yahoo/,           // OTHER ENGINES
		/ecosia/,/ia_archiver/,

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import hashlib
import time
import re
from datetime import date

# Block information
block = 1
data = 'German gets a PD'
prevHash = '0000000000000000000000000000000000000000000000000000000000000000'

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Creating a service instance programmatically.

• The examples below use curl but any language can be used as it's just REST calls.
• All the APIs used in this tutorial are documented here: https://cloud.ibm.com/apidocs
• Make sure you read the Resource Controller API: https://cloud.ibm.com/apidocs/resource-controller#create-provision-a-new-resource-instance
• Information about apikeys and tokens can be found here: https://cloud.ibm.com/docs/iam?topic=iam-iamtoken_from_apikey
• Watson Assistant is used as example below but it this steps can be applied to any service.

1. Create a platform apikey

In order to create/delete service instances programmatically a platform apikey needs to be used.

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// When testing in node you will have to install `form-data` and `node-fetch`. You don't need them in React Native.
// const fetch = require('node-fetch');
// const FormData = require('form-data');

const VISUAL_RECOGNITION_API = 'https://gateway-a.watsonplatform.net/visual-recognition/api';
const CLASSIFY_ENDPOINT = '/v3/classify';
const apiKey = 'API_KEY_HERE'; // replace with a valid API Key

/**
 * Classifies an image using the Visual Recognition service

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import print_function  # Python 3 support

import sys
import json
import datetime
import re
import csv

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---
applications:
- name: my-app-name
  buildpack: sdk-for-nodejs
  memory: 512M
  timeout: 120 # The maximum amount of time in seconds that is used to start the application. The default value is 60 seconds.
  instances: 1
  command: npm start
  path: .

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// Copy this class in the java-sdk/text-to-speech/src/main/java/com/ibm/watson/developer_cloud/text_to_speech/v1/ folder
package com.ibm.watson.developer_cloud.text_to_speech.v1;

import java.util.List;

import com.ibm.watson.developer_cloud.text_to_speech.v1.model.Voice;

public class Example {

  public static void main(String[] args) {

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import com.cloudbees.hudson.plugins.folder.Folder
import hudson.FilePath
import jenkins.model.Jenkins

def boolean isFolder(String name) {
    def item = Jenkins.instance.getItemByFullName(name)
    return item instanceof Folder
}

def deleteUnusedWorkspace(FilePath root, String path) {

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var prompt = require('prompt-sync')();
var ConversationV1 = require('watson-developer-cloud/conversation/v1');
var conversation = new ConversationV1({
  username: 'USERNAME',
  password: 'PASSWORD',
  path: { workspace_id: 'WORKSPACE_ID' },
  version_date: '2016-07-11'
});

/**

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Developer's Certificate of Origin 1.1

By making a contribution to this project, I certify that:

(a) The contribution was created in whole or in part by me and I have the right to submit it under the open source license indicated in the file; or

(b) The contribution is based upon previous work that, to the best of my knowledge, is covered under an appropriate open source license and I have the right under that license to submit that work with modifications, whether created in whole or in part by me, under the same open source license (unless I am permitted to submit under a different license), as indicated in the file; or

(c) The contribution was provided directly to me by some other person who certified (a), (b) or (c) and I have not modified it.