seddonym

import functools

from django.conf import settings
from django.db import transaction, utils


def durable(func):
    """
    Decorator to ensure that a function is not being called within an atomic block.

rodrigoddc

// load call
$(window).on('load', function() {
//active loading

 //loadout
 $('#preloader').fadeOut();
});

jefftriplett

name: CI

on: [push]

jobs:

  test:
    runs-on: ubuntu-latest

    services:

mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail

antoniopresto

[
  {
    "value": "001",
    "label": "Banco do Brasil S.A."
  },
  {
    "value": "003",
    "label": "Banco da Amazônia S.A."
  },
  {

valferon

#!/usr/bin/python3
import argparse
import logging
import subprocess
import os
import tempfile
from tempfile import mkstemp

import configparser
import gzip

jeffochoa

class Errors {
    /**
     * Create a new Errors instance.
     */
    constructor() {
        this.errors = {};
    }


    /**

veuncent

Remote debugging in Docker (for Django apps)

In order to enable debugging for your Django app running in a Docker container, follow these steps using Visual Studio (Code):

1. Add ptvsd to your requirements.txt file

ptvsd == 4.3.2

2. To your launch.json, add this:

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.

phizaz

import functools


def force_async(fn):
    '''
    turns a sync function to async function using threads
    '''
    from concurrent.futures import ThreadPoolExecutor
    import asyncio
    pool = ThreadPoolExecutor()