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const putS3StringObject = async (bucket, key, str) => {
  try {
    const s3 = new aws_sdk_1.S3();
    const buf = Buffer.from(str);
    await s3.putObject({
      Key: key,
      Bucket: bucket,
      Body: buf,
      ContentEncoding: 'base64'
    }).promise();

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const axios = require('axios');
const fs = require('fs');

const headers = { 'x-vol-tenant': '5c49cda1ddca5800122fad4e' };
const materialApi = 'https://api.material.com/images';
const getImages = async (url, headers) => {
    if (!fs.existsSync('404s.txt')) {
        fs.writeFileSync('404s.txt', '');
    }
    const params = {

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python3 -m cProfile -s cumulative script.py > profile.txt

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DO $func$
BEGIN
    EXECUTE (
        SELECT
            'TRUNCATE TABLE ' || string_agg(oid::regclass::text, ', ') || ' CASCADE'
        FROM
            pg_class
        WHERE
            relkind = 'r'
            AND relnamespace = 'schema_name'::regnamespace);

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find the difference between the arc lengths of the inner and outer radius you want and divide by the kerf width, that'll give you the number of cuts, then space them evenly

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#!/bin/bash

function containerCommand() {
  # Given a string, search for the matching running docker containers.
  # If more than one argument is passed, attempt to run remaning arguments
  # on that docker container.
  container=`docker ps --format '{{.ID}} {{.Names}}'1`;
  shift;
  if [[ ! -z "$@" ]]
  then

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#!/bin/bash
# Requirements:
#   - gcloud/gsutil is installed on the box
#   - gcloud is logged in as a user with write access to Google Cloud Storage
#   - The file has execution rights so that it can be run in cron
#   - The Google Cloud Storage bucket already exits


# Exit on any error
set -e

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kccontexts() {
  # Works with kubectl v1.4.0 and the config file generated by gcloud containers clusters get-credentials
  # If you pass in an arg, then we will filter the contexts for that string
  
  # The following block creates a list of the contexts and filters if an argument
  # is passed in.
  if [[ $1 ]]
    then
      options=(`kubectl config get-contexts -o name | sort | grep $1`)
  else

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# To determine which node a container is on:
kubectl get pods -o wide

# To view current resource usuage and limits of a cluser
kubectl describe nodes <cluster name>

# To view what is happening on a container
kubectl attach <container-name>

# To start an interactive shell on a container

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def find_attribute_class(model, attribute):
    """
    If the attribute is found, it returns an array of places the attribute is defined.
    The array is ordered by priority, the first element being the one that is called.
    If not found, returns an empty array.
    """
    return [m for m in model.mro() if attribute in m.__dict__]