rfennell

parameters:
  - name: Value
    type: boolean
    default: true

pool:
  vmImage: ubuntu-latest

stages:

zanechua

# PHP
# Test and package your PHP project.
# Add steps that run tests, save build artifacts, deploy, and more:
# https://docs.microsoft.com/azure/devops/pipelines/languages/php

pool:
  vmImage: 'Ubuntu 16.04'

variables:
  phpVersion: 7.2

maurobaraldi

from django.test import Client, TestCase
from mock import patch
from .views import index

class SimpleTestCase(TestCase):

    def setUp(self):
        self.client = Client()

    @patch('api.views.requests')

benbacardi

from django.utils.http import urlencode

def reverse_querystring(view, urlconf=None, args=None, kwargs=None, current_app=None, query_kwargs=None):
    '''Custom reverse to handle query strings.
    Usage:
        reverse('app.views.my_view', kwargs={'pk': 123}, query_kwargs={'search': 'Bob'})
    '''
    base_url = reverse(view, urlconf=urlconf, args=args, kwargs=kwargs, current_app=current_app)
    if query_kwargs:
        return '{}?{}'.format(base_url, urlencode(query_kwargs))

Jaykul

# Set up the proxy forwarder ...
Add-Type -path .\NetMQ\lib\net40\NetMQ.dll
Start-Job {

    try {
        $context = [NetMQ.NetMQContext]::Create()
        $publisher = $context.CreateXPublisherSocket()
        $subscriber = $context.CreateXSubscriberSocket()

        $publisher.Bind("tcp://127.0.0.1:50007");

mattlong

from functools import update_wrapper
from django.contrib import admin
from django.contrib.admin import ModelAdmin
from django.contrib.admin.templatetags.admin_urls import add_preserved_filters
from django.core.exceptions import PermissionDenied
from django.shortcuts import render

from myapp.models import Widget
from myapp.forms import ManageWidgetForm

cansadadeserfeliz

class MyForm(forms.ModelForm):
    requested_asset = None
    
    def __init__(self, *args, **kwargs):
        other_variable = kwargs.pop('other_variable')
        super(MyForm, self).__init__(*args, **kwargs)

mangecoeur

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor:

dantheautomator

filter {
  if [nxtags] == "nxlogsyslog" {

    mutate {
      add_field => [ "type", "%{nxtags}" ]
      replace => [ "host", "%{Hostname}" ]
    }

    # Parse the date 2014-02-27 14:57:04 - Needed to set timezone value to nxlog server's timezone
    date {

cha55son

#!/bin/bash

# Installation:
#
# 1.   vim /etc/ssh/sshd_config 
#      PrintMotd no
#
# 2.   vim /etc/pam.d/login
#      # session optional pam_motd.so
#