nikeee

#!/usr/bin/env node
// @ts-check

import { createReadStream } from "node:fs";
import { realpath } from "node:fs/promises";
import * as rl from "node:readline/promises";
import * as path from "node:path";

const fileToProcess = process.argv[2];
if (!fileToProcess) {

noxasaxon

Learning Rust

Getting Started + Installation | Cheat Sheet

Table of Contents

1. How Do I Start Learning Rust?!
2. Ok, I Think I Know The Basics But How Do I Get Better?!
3. Rustlang Tooling
4. Helpful References Throughout Your Journey
5. The Rust Community
6. Recommended (but not free) Books & Courses

JoeyBurzynski

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

bhameyie

import slick.codegen.SourceCodeGenerator
import slick.jdbc.JdbcProfile
import slick.model.Model

import scala.concurrent.{Await, ExecutionContext}
import scala.concurrent.duration.Duration

object SourceCodeGenerator {

croxton

Generate ssl certificates with Subject Alt Names on OSX

Open ssl.conf in a text editor.

Edit the domain(s) listed under the [alt_names] section so that they match the local domain name you want to use for your project, e.g.

DNS.1   = my-project.dev

Additional FQDNs can be added if required:

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

calippo

object Mappable {
  implicit class ToMapOps[A](val a: A) extends AnyVal {
    import shapeless._
    import ops.record._

    def toMap[L <: HList](implicit
      gen: LabelledGeneric.Aux[A, L],
      tmr: ToMap[L]
    ): Map[String, Any] = {
      val m: Map[tmr.Key, tmr.Value] = tmr(gen.to(a))

rrodseth

  // Inspired by a tweet from @trautonen 1/13/2016
  // Use Source.unfoldAsync to turn paginated database results into an akka-streams Source
  // unfold is the inverse of fold

  case class Page[T](pageNumber:Long, totalPages:Long, contents:List[T])
  case class Thing(id: Long, name: String = "foo")
  
  val totalPages = 5 // 
  val pageSize = 3

spalladino

# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE

ipedrazas

function drips(){
    docker ps -q | xargs -n 1 docker inspect --format '{{ .NetworkSettings.IPAddress }} {{ .Name }}' | sed 's/ \// /'
}