alexaandru

// Chi-like syntactic sugar layer on top of stdlib http.ServeMux.
package main

import (
	"net/http"
	"slices"
)

type (
	middleware func(http.Handler) http.Handler

PlugFox

import 'dart:convert';

import 'package:crypto/crypto.dart';
import 'package:meta/meta.dart';

/// {@template jwt}
/// A JWT token consists of three parts: the header,
/// the payload, and the signature or encryption data.
/// The first two elements are JSON objects of a specific structure.
/// The third element is calculated based on the first two

tidwall

package main

import (
	"fmt"
	"io"
	"log"
	"net"
	"os"
	"sync"
	"sync/atomic"

adnaan

import React from 'react';
import { StyleSheet, Text, View } from 'react-native';
import Centrifuge from 'centrifuge';

export default class App extends React.Component {

  componentDidMount() {
    console.log("componentDidMount")
    var timestamp = Math.floor(Date.now() / 1000);
    var centrifuge = new Centrifuge({

Orabig

// Register your service as usual. I suggest adding it to [providers] in the module definition
// Then...
...
     var user = ...;
     var info = ...; // Optional
     var timestamp = Date.now() / 1000 | 0;
     var token = <Get the token from your ws>;
       
     this.centrifugeService.connect({
        url: 'http://<centrifugoServer>:8000/connection',

spugachev

Работа с Tarantool

Начать работу с Tarantool можно запустив обучающий туториал на официальном сайте https://tarantool.org/en/try.html

Это позволяет попробовать Tarantool прямо из браузера сразу и без регистрации. Также на официальном сайте представлены инструкции по установке и запуску Tarantool в macOS, популярных дистрибутивах Linux и FreeBSD. Версии для Windows Tarantool не имеет.

Но не спешите сразу устанавливать Tarantool непосредственно в операционную систему. Самым удобным способом быстро запустить и попробовать Tarantool на Linux, macOS или Windows является Docker. Если у вас уже установлен Docker, то запуск контейнера с Tarantool может быть выполнен одной командой:

docker run --name mytarantool -d tarantool/tarantool:1.7

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.

MichaelPote

#
# Himawari-8 Downloader
#
#
#
# This script will scrape the latest image from the Himawari-8 satellite, recombining the tiled image,
# converting it to a JPG which is saved in My Pictures\Himawari\ and then set as the desktop background.
#
# http://himawari8.nict.go.jp/himawari8-image.htm
#

Malezha

<?php

namespace App\Http\Controllers\Admin\API;

use App\Http\Controllers\Controller;
use App\Models\Channel;
use Illuminate\Http\Request;

class Centrifuge extends Controller
{

bdarnell

"""Demo of streaming requests with Tornado.

This script features a client using AsyncHTTPClient's body_producer
feature to slowly produce a large request body, and two server
handlers to receive this body (one is a proxy that forwards to the
other, also using body_producer).

It also demonstrates flow control: if --client_delay is smaller than
--server_delay, the client will eventually be suspended to allow the
server to catch up. You can see this in the logs, as the "client