JustinSDK

package main

import "fmt"

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

type AnySlice []any

JustinSDK

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

elico

#!/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"

goll

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:

shubhamagarwal92

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__)

timelyportfolio

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)

timelyportfolio

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/vue@2.2.6") to the tagList().

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

drmalex07

README

Create a template service file at /etc/systemd/system/secure-tunnel@.service. The template parameter will correspond to the name of target host:

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

rasmusab

### 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... )

trestletech

library(shiny)
library(dplyr)
library(lubridate)

# Load libraries and functions needed to create SQLite databases.
library(RSQLite)
library(RSQLite.extfuns)
saveSQLite <- function(data, name){
  path <- dplyr:::db_location(filename=paste0(name, ".sqlite"))