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colordiff <(jq -S '.configurations | .[].\"$1\".properties | select (.!=null)' $2) <(jq -S '.configurations | .[].\"$1\".properties | select (.!=null)' $3)

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{
  "attrFields": {
    "attribute_1": "International aid/development worker",
    "attribute_2": 3762,
    "attribute_3": "B-",
    "attribute_4": "Scott-Mendoza",
    "attribute_5": "M",
    "attribute_6": "2007-01-09",
    "attribute_7": 8.302579812
  },

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#!/usr/bin/env python

# csv2hashed.py
#
# Usage:
#   $ csv2hashed.py --salt SALT --input original.csv --output hashedfile.csv
#
# Assumptions:
#   - This script performs basic normalization and is configured to read first_name, last_name and birthdate columns only
#   - This script assumes the first column is always PersonID which

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# Azure DevOps pipeline to build Databricks cluster
# This pipeline depends on "variable-group-01" to provide the below variables
# ARM_CLIENT_ID
# ARM_SUBSCRIPTION_ID
# ARM_TENANT_ID
# mySecret NOTE: This variable is mapped to ARM_CLIENT_SECRET below


trigger:
- starter

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#! /usr/bin/bash
set -o errexit
set -o nounset
set -o pipefail

export ARM_SUBSCRIPTION_ID= XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
export ARM_TENANT_ID= XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
export ARM_CLIENT_ID=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
export ARM_CLIENT_SECRET=XXXXXXXXXXXXX
export MANAGEMENT_RESOURCE_ENDPOINT="https://management.core.windows.net/" # This is Fixed value (DO NOT CHANGE)

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#! /usr/bin/bash
set -o errexit
set -o nounset
set -o pipefail

export ARM_SUBSCRIPTION_ID= XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
export ARM_TENANT_ID= XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
export ARM_CLIENT_ID=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
export ARM_CLIENT_SECRET=XXXXXXXXXXXXX
# Login using service principle

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# Get 2 values from the output
command | jq -r '[.Key1.key2,.Key1.key2]'

# Get last element from list
command | jq .key[-1].key2

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#!/usr/bin/env python3
import os
import logging
from subprocess import run, PIPE
import requests
import json
import time
from datetime import datetime
​
now_file = f"{datetime.utcnow().strftime('%X').replace(':','-')}.log"

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import cProfile
import io
import pstats
import random

import pandas as pd
from mimesis import Address, Datetime, Person
from mimesis.enums import Gender
person = Person('en')
addess = Address()

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