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var ActiveDirectory = require('activedirectory');
var config = { url: 'ldap://ldap.forumsys.com',
               bindDN: 'cn=read-only-admin,dc=example,dc=com',
               baseDN:'ou=mathematicians,dc=example,dc=com',
               password: 'password' }
var ad = new ActiveDirectory(config);

var username = 'uid=gauss,dc=example,dc=com';
var password = 'password';
 

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# From https://cloud.google.com/iam/docs/creating-managing-service-account-keys#iam-service-account-keys-create-gcloud
# Enable IAM API https://cloud.google.com/iam/docs/creating-managing-service-account-keys#iam-service-account-keys-create-gcloud
# following script will rotate all json keys present in the current folder 
# Need the permission to roate keys to the current service accout key admin

mkdir -p backup
echo Starting key rotation
for filename in *.json; do
    echo Starting $filename
    cp $filename backup/$filename

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# Enable IAM API https://cloud.google.com/iam/docs/creating-managing-service-account-keys#iam-service-account-keys-create-gcloud
# following script will rotate all json keys present in the current folder 
# Need the permission to roate keys to the current service accout key admin

# Set-ExecutionPolicy -ExecutionPolicy Unrestricted 
# Add CLOUDSDK_PYTHON variable  e.g. D:\Programfiles\gcloud\google-cloud-sdk\platform\bundledpython\python.exe
# Import-Module GoogleCloud
# gcloud iam service-accounts keys create newfile.json --iam-account [email protected]

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https://travelandtech.net/technology/tutorials/gcp/how-to-install-apache-airflow-on-gcp-ubuntu-instance-with-sequential-executor/

sudo su -
apt update
apt upgrade

adduser airflow
usermod -aG sudo airflow

su - airflow

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# Sample Cloud execution on local
# pip install google-auth
# pip install --upgrade google-auth

import os
import json
import requests
import google.oauth2.id_token
import google.auth.transport.requests

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# https://beam.apache.org/documentation/transforms/python/aggregation/combinevalues/
# http://shzhangji.com/blog/2017/09/12/apache-beam-quick-start-with-python/
import apache_beam as beam
import csv

if __name__ == '__main__':
    with beam.Pipeline('DirectRunner') as pipeline:
        (pipeline 
        | "Read File" >> beam.io.ReadFromText('test.txt')
        | 'Split' >> (

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# https://beam.apache.org/documentation/transforms/python/aggregation/combinevalues/
# 
import apache_beam as beam
import csv

if __name__ == '__main__':
    with beam.Pipeline('DirectRunner') as pipeline:
        (pipeline 
        | "Read File" >> beam.io.ReadFromText('test.txt')
        | 'Split' >> (

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# Decorators 
import sys, traceback
import time

# Create a function with function argument
def timerit(func):
  #Create a wrapper to that function with args
  def wrapper(*arg):
    # function preporcessing 
    t=time.time()

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--- # Start of yaml with ---
# https://yaml-online-parser.appspot.com/
# https://www.json2yaml.com/
# https://github.com/josephmachado/beginner_de_project/blob/master/docker-compose.yaml ( Sample usage of anchors ) 
# Sample YAml
 - name: Test
   str1: 'HEllo'
   str2: 'HEllo2'
 - numbers:
     num: 1       # Dec