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#!/usr/bin/env bash
set -e

function usage() {
    set -e
    cat <<EOM
    ##### ecs-run #####
    Simple script for running tasks on Amazon Elastic Container Service
    One of the following is required:
    Required arguments:

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# looops through subdirs
# look for file or symlink named Makeifle
# creates a new one 

for folder in $(echo *); do
 if [ -d $folder ]; then
  cd $folder
  # test for file
  if [ -f "Makefile" ]

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#!/bin/bash

# abbreviations refer to resource IDs
# security group = SG
# security group rule = SGR
# referencing security group = RGS

# SG to delete
SG=$1

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#!/bin/bash
# clone to copies of the same repo, side by side
# add this script to the repo you want to copy from

# the name of the repo you want to copy to 
REPO_NAME="myrepo"

# the PR number with the modifications
PR_NUMBER="5"

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AWSTemplateFormatVersion: '2010-09-09'

Description: 'Bootstraps Terraform S3 backend'
Parameters:
  AccountId:
    Type: 'String'
    Description: 'Account ID of the account that will manage state in this bucket (leave blank if the state is for this AWS account)'
  CreateDynamoDB:
    Default: true
    Type: String

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#!/usr/bin/env python3

import glob
import os.path


root_dir = ''

def filename_hook(filename):
    print(filename)

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insert into myschema.mytable

with ten_numbers as (select 1 as num union select 2 union select 3 union select 4 union select 5 union select 6 union select 7 union select 8 union select 9 union select 0)
,generted_numbers AS
(
    SELECT (1000*t1.num) + (100*t2.num) + (10*t3.num) + t4.num-5000 as gen_num
    FROM ten_numbers AS t1
      JOIN ten_numbers AS t2 ON 1 = 1
      JOIN ten_numbers AS t3 ON 1 = 1
      JOIN ten_numbers AS t4 ON 1 = 1

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#!/bin/bash


[ -f nohup.log ] && rm -f nohup.log

nohup \
  yes \
  > nohup.log 2>&1 &

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#!/bin/bash


run_datetime=`date +%F_%H-%M-%S`
test_artifacts_name="${run_datetime}/TEST"
dev_artifacts_name="${run_datetime}/DEV"

run() {
    rm -rf 2021-*
    mkdir -p $test_artifacts_name $dev_artifacts_name

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#!/usr/bin/env python3

import argparse
import boto3
import json
import os
from datetime import datetime


parser = argparse.ArgumentParser(