鐘翊修 obarisk

Not happy with Docker modifying your precious firewall rules?

Docker inserts iptables rules when it's started by default
buster uses nftables by default
let's make Docker use nftables instead
PROFIT

Prerequisites

Install Docker CE and nftables:

vuejs + Shiny

More Advanced Example

vuejs is beautiful and works extremely well with R, since vuejs does not require and all-in contract to use it. I have played quite a bit with R htmltools and vuejs, but until today, I have not explored Shiny with vuejs. This earlier gist R Shiny and Vue Simple Example offers a very simple illustration of how Shiny and vuejs can be best friends. Now, let's build from that example and get a TreeView of a Shiny plot brush.

Code

library(shiny)

Shiny == good & Vue == good | Shiny + Vue == good?

Shiny Shiny.shinyapp.$inputValues acts like a store of state. I thought it would be fun to let vuejs react to changes in Shiny input values. This example is intentionally very simple to hopefully self-explain.

vueR

I have assembled vueR package, like d3r and reactR, to offer helpers for vuejs. For this example please install vueR, or just add tags$script(src = "https://unpkg.com/[email protected]") to the tagList().

devtools::install_github("timelyportfolio/vueR")`

README

Create a template service file at /etc/systemd/system/[email protected]. The template parameter will correspond to the name of target host:

[Unit]
Description=Setup a secure tunnel to %I
After=network.target

	package main

	import "fmt"

	type Indicable interface {
	Len() int
	Idx(i int) any
	}

	type AnySlice []any

	package main

	import "fmt"

	func Map[T any](arr []T, fn func(T) T) []T {
	newArr := make([]T, len(arr))
	for i := 0; i < len(arr); i++ {
	newArr[i] = fn(arr[i])
	}
	return newArr

	#!/usr/bin/env bash

	DEST_NET="192.168.111.0/24"

	NEXT_HOPS="2"

	NEXT_HOP_1="192.168.126.202"
	NEXT_HOP_2="192.168.126.203"

	NEXT_HOP_1_TABLE="202"

	import torch
	import logging
	from pytorch_transformers import BertModel, BertTokenizer
	from pytorch_transformers import *
	from typing import List

	CLS_TOKEN = "[CLS]"
	SEP_TOKEN = "[SEP]"

	logger = logging.getLogger(__name__)

	SELECT
	*,
	pg_size_pretty(table_bytes) AS table,
	pg_size_pretty(index_bytes) AS index,
	pg_size_pretty(total_bytes) AS total
	FROM (
	SELECT
	*, total_bytes - index_bytes - COALESCE(toast_bytes, 0) AS table_bytes
	FROM (
	SELECT

	### An example of building a TensorFlow model from R using rPython ###
	# For this script you need to
	# 1. Have python 2.7 installed.
	# 2. Install the rPython package in R.
	# 3. Install Google's TensorFlow library as per these instructions:
	# http://www.tensorflow.org/get_started/os_setup.md#binary_installation

	### Here is how to setup and run a trivial TensorFlow model ###

	# Load TensorFlow (I couldn't get this to work without setting sys.argv... )