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function autoLabelEmails() {
  const labelRules = [{
      label: "POSSIBLE PHISHING ATTEMPT",
      subjectContains: [
        // Security & Account Alerts
        "Suspicious Login Attempt Detected", "Your Account Has Been Compromised!", "Unusual Activity on Your Account",
        "Security Alert: Immediate Action Required", "We Detected Unauthorized Access", "Your Password Has Expired – Reset Now",
        "Account Locked Due to Multiple Failed Login Attempts", "Confirm Your Identity to Continue Using Your Account",
        "Important Security Update Required", "Verify Your Account Before It's Disabled",
        // Banking & Financial Scams

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import os
from datetime import datetime
import subprocess
import json
import logging

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

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import os
import glob
import argparse

# Define a default root directory constant
DEFAULT_ROOT_DIR = "<PLACEHOLDER>"

def merge_markdown_files(root_dir, output_file):
    """
    Merges all Markdown files found in the root directory and its subdirectories into a single output file.

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import os

def create_markdown_from_directory(root_directory, output_markdown):
    """
    Walks through a directory and subdirectories, extracting code from all files
    and creating a markdown file that consolidates all the code.

    Parameters:
    root_directory (str): The root directory to traverse.
    output_markdown (str): The path to the output markdown file.

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xpack.security.authc.realms.saml.cloud-saml:
  order: 2
  attributes.principal: "nameid"
  attributes.groups: "groups"
  idp.metadata.path: "https://<PLACEHOLDER>.com//sso/saml/metadata"
  idp.entity_id: "http://www.<PLACEHOLDER>.com/<PLACEHOLDER>"
  sp.entity_id: "https://<PLACEHOLDER>.kb.us-east-1.aws.found.io:9243/"
  sp.acs: "https://<PLACEHOLDER>.kb.us-east-1.aws.found.io:9243/api/security/v1/saml"
  sp.logout: "https://<PLACEHOLDER>.kb.us-east-1.aws.found.io:9243/logout"

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/** 
Scaling
 - Scale can be used as is which will set the height to 560 but keep aspect ratio for width.
 - Other options include setting both with & height
 - Watch out for sizing errors when not divisible by 2
**/

/** MP4 1st pass **/
ffmpeg -i input.mov -vcodec libx264 -vprofile high -preset veryslow -b:v 225k -maxrate 300k -bufsize 1000k -vf scale=-1:560 -threads 2 -pass 1 -an -f mp4 /dev/null

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#!/bin/sh

###
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
###

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx

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#!/usr/bin/env bash

RED='\033[0;31m'
YELLOW='\033[0;33m'

GREEN='\033[0;32m'
NC='\033[0m' # No Color

installer=`which brew || which yum || which apt-get`
which jq >/dev/null || $installer install jq

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#!/bin/bash
function aprint() { awk "{print \$${1:-1}}"; }
alias dockerstart='docker ps -a --format="{{.ID}}" |xargs -ir docker start {}'
alias dockerrmi="docker images  | grep  none | aprint 3 | xargs -I[] -r docker rmi []"
alias dockerrm="docker ps | grep Exited | aprint 1 | xargs -I[] -r docker rm []"
alias dockerrmall="docker ps -a | tail -n -1 | grep -v Up | aprint 1 | xargs -I[] -r docker rm []"
function ___date() { echo -n "[`date --rfc-3339=seconds `] "; }
function dockerkill() { docker ps | grep $1 | aprint 1 | xargs -I[] -r docker stop []; }
function dockerdel() { docker images | grep $1 | aprint 3 | xargs -I[] -r docker rmi []; }
function untilfail() {  while $@; do :; done }

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Overview of Python Virtual Environments

This guide is targetted at intermediate or expert users who want low-level control over their Python environments.

When you're working on multiple coding projects, you might want a couple different version of Python and/or modules installed. This helps keep each workflow in its own sandbox instead of trying to juggle multiple projects (each with different dependencies) on your system's version of Python. The guide here covers one way to handle multiple Python versions and Python environments on your own (i.e., without a package manager like conda). See the Using the workflow section to view the end result.

h/t @sharkinsspatial for linking me to the perfect cartoon