mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail

fntlnz

Create Root CA (Done once)

Create Root Key

Attention: this is the key used to sign the certificate requests, anyone holding this can sign certificates on your behalf. So keep it in a safe place!

openssl genrsa -des3 -out rootCA.key 4096

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

johnstew

[test]: Update test/* files
[dist]: Changes to submodules, version bumps, updates to package.json
[minor]: Small changes
[doc]: Updates to documentation
[fix]: Bug fixes
[bin]: Update binary scripts associated with the project
[refactor]: Refactor of existing code
[nit]: Small code review changes mainly around style or syntax
[feat]: New features

aaronfranke

#!/usr/bin/env bash

# This script bulk-renames many things in Godot 3 projects to hopefully
# make it easier to convert them to Godot 4. The goal is to do as much
# replacing as possible here so that the diffs Godot produces are smaller.

set -uo pipefail
IFS=$'\n\t'

# Loops through all text files tracked by Git.

cart

[gd_scene load_steps=3 format=2]

[sub_resource type="Shader" id=1]
code = "shader_type canvas_item;

// Godot Nvidia FXAA 3.11 Port

// Usage: Drop this in to any 3D scene for FXAA! This is a port of the \"PC High Quality Preset 39\". However the medium quality
// parameters are also included. For medium quality, just comment out sections \"PS 6\" and above and uncomment the \"med 13\" variables.

spiette

---
- hosts: all
  gather_facts: no
  vars:
    string: "string"
    list:
      - item1
      - item2
    dict:
      key1: value1

mangecoeur

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

simonmcc

#!/bin/bash
#
# This script requires xpath to parse part of the dnscurl.pl output
# on CentOS/RedHat/Amazon Linux:
#
# sudo yum install perl-XML-XPath
#
# also, dnscurl.pl (from http://aws.amazon.com/code/Amazon-Route-53/9706686376855511) 
# expects your secrets to be in ~/.aws-secrets
# using a file format like this (from http://dmz.us/wp/wp-content/uploads/r53/aws-secrets.txt)

sdorra

/*
 * Genarate rsa keys.
 */

package main

import (
	"crypto/rand"
	"crypto/rsa"
	"crypto/x509"