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To implement the PDF generation and streaming functionality on Microsoft Azure, you can use Azure Functions and Azure Blob Storage to store and serve the generated PDF. Here's an example of how you can achieve this:

1. Create an Azure Storage account and create a Blob container where the generated PDF files will be stored.

2. Set up an Azure Function App in the Azure portal.

3. In the Azure Function App, create a new HTTP-triggered function. Choose your preferred language for writing the function code (e.g., JavaScript, C#, etc.).

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const countLines = require('./count-lines');

describe('countLines', () => {
  test('counts the number of lines in a file', (done) => {
    const filename = 'test-file.txt';
    const expectedLineCount = 3;

    countLines(filename, (err, lineCount) => {
      expect(err).toBeNull();
      expect(lineCount).toBe(expectedLineCount);

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for file in ./app/*.js; do
  echo "$(cat copyright.txt)\n$(cat $file)"  
done

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for file in ./app/*.js; do
  echo "$(cat copyright.txt)\n$(cat $file)"  
done

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2017-12-22T14:29:23.699660+00:00 fwd="108.201.224.150" dyno=web.1 connect=0ms service=40ms status=201 bytes=1056 protocol=https
2017-12-22T14:29:23.665181+00:00 fwd="108.201.224.150" dyno=web.1 connect=0ms service=39ms status=201 bytes=1056 protocol=https
2017-12-22T14:29:23.673962+00:00 fwd="108.201.224.150" dyno=web.2 connect=1ms service=49ms status=201 bytes=1056 protocol=https
2017-12-22T14:29:23.676363+00:00 fwd="108.201.224.150" dyno=web.2 connect=1ms service=50ms status=201 bytes=1056 protocol=https
2017-12-22T14:29:23.620207+00:00 fwd="108.201.224.150" dyno=web.1 connect=0ms service=40ms status=201 bytes=1056 protocol=https
2017-12-22T14:30:22.962434+00:00 fwd="24.40.248.207" dyno=web.1 connect=0ms service=41ms status=201 bytes=1056 protocol=https
2017-12-22T14:30:23.262654+00:00 fwd="24.40.248.207" dyno=web.2 connect=1ms service=44ms status=201 bytes=1056 protocol=https
2017-12-22T14:30:23.237415+00:00 fwd="24.40.248.207" dyno=web.1 connect=0ms service=30ms status=201 bytes=1056 protocol=https
2017-1

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// NOTE: this adds a filename and line number to winston's output
// Example output: 'info (routes/index.js:34) GET 200 /index'

var winston = require('winston')
var path = require('path')
var PROJECT_ROOT = path.join(__dirname, '..')

var logger = new winston.logger({ ... })

// this allows winston to handle output from express' morgan middleware

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var mongoose = require('./node_modules/mongoose');
var mongoUrl = process.env.MONGODB_URL;
mongoose.connect(mongoUrl);

var userQuery = {_id: '571874fe45d71e03001059cd'};
var statQuery = {user: '571874fe45d71e03001059cd'};
var models = require('./models');
var results = {};
models.User.find(userQuery).
    then(function(doc){

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str = "send your query to my@email.com or to another@provider.com"

matching_regex = /\S+@\S+\.\S+/
replace_with = "******"
str.gsub!(matching_regex, replace_with)

puts str

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// ------------------------------------------------------------------
// Friend collection, where _id is a user.Id and Friends is a list, of user.Id.
// Note: friending and unfriending is a two step operation in this scheme:

> db.friends.find()
{ "_id" : 1, "friends" : [    2, 3, 4    ] }
{ "_id" : 2, "friends" : [ 1,    3,    5 ] }
{ "_id" : 3, "friends" : [ 1, 2,    4, 5 ] }
{ "_id" : 4, "friends" : [ 1,    3,    5 ] }
{ "_id" : 5, "friends" : [    2, 3, 4    ] }

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import java.io.*;
import java.util.*;
import java.text.*;
import java.math.*;
import java.util.regex.*;

public class Solution {

    public static void main(String[] args) {
        Scanner myScan = new Scanner(System.in);