elleryq

Deploy the MongoDB Replica set using Ansible.

Pre-requisite:

Make sure to add hosts entries in /etc/hosts in all mongod instance. Verify whether it's reachable, i.e within network. Check it with ping or telnet. ping hostname/ip telnet hostname/ip mongo_port Quick guide

Adjust the hosts details in inventory. Adjust the global variables in group_vars/all

elleryq

//
//  VirtualKeyboard.swift
//  MacBook Air M1 Zhuyin Keyboard
//  Written with SwiftUI ~=300 LOC, < 4hrs
//  Created by Ethan Huang on 2021/1/13.
//  Twitter: @ethanhuang13

import SwiftUI

struct VirtualKeyboard: View {

elleryq

#!/usr/bin/env bash

set -Eeuo pipefail
trap cleanup SIGINT SIGTERM ERR EXIT

script_dir=$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd -P)

usage() {
  cat <<EOF
Usage: $(basename "${BASH_SOURCE[0]}") [-h] [-v] [-f] -p param_value arg1 [arg2...]

elleryq

from cProfile import Profile
import pstats


def profile(sort_args=['cumulative'], print_args=[10]):
    profiler = Profile()

    def decorator(fn):
        def inner(*args, **kwargs):
            result = None

elleryq

import cProfile
 
 
def profile_this(fn):
    def profiled_fn(*args, **kwargs):
        # name for profile dump
        fpath = fn.__name__ + '.profile'
        prof = cProfile.Profile()
        ret = prof.runcall(fn, *args, **kwargs)
        prof.dump_stats(fpath)

elleryq

#!/bin/bash
#
# 1. create a EC2 instance with public IP
# 2. create a A RR in route53 pointing your.domain.com to the public IP
# 3. make sure HTTP/HTTPS ports(80 443) are public to all in security group of this EC2 instance
# 4. make sure docker daemon is running in this EC2 instance
# 5. run this script !
# 6. keys/cert will be generated under /root/letsencrypt/etc/live/

mkdir -p /root/letsencrypt/log /root/letsencrypt/lib /root/letsencrypt/etc

elleryq

---
# ^^^ YAML documents must begin with the document separator "---"
#
#### Example docblock, I like to put a descriptive comment at the top of my 
#### playbooks.
#
# Overview: Playbook to bootstrap a new host for configuration management.
# Applies to: production
# Description: 
#   Ensures that a host is configured for management with Ansible.

elleryq

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:

elleryq

#!/bin/bash
# Copyright (c) 2011 Josh Schreuder
# http://www.postteenageliving.com
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

elleryq

In ~/.atom/styles.less, add the below css setting

Windows

atom-text-editor {
  font-family: "Microsoft JhengHei", sans-serif;
  //font-size: 14px;
}
atom-pane {
 font-family: "Microsoft JhengHei", sans-serif;