fnando

upstream tunnel {
  server 127.0.0.1:3000;
}

server {
  listen 80;
  server_name dev.codeplane.com br.dev.codeplane.com;
  
  location / {
    proxy_set_header  X-Real-IP  $remote_addr;

admackin

_ssh_auth_save() {
    ln -sf "$SSH_AUTH_SOCK" "$HOME/.ssh/ssh-auth-sock.$HOSTNAME"
}
alias screen='_ssh_auth_save ; export HOSTNAME=$(hostname) ; screen'
alias tmux='_ssh_auth_save ; export HOSTNAME=$(hostname) ; tmux'

FUT

    #include <stdio.h>
    #include <stdlib.h>
    #include <fcntl.h>
    #include <sys/stat.h>
    #include <sys/ioctl.h>
    #include <string.h>
    #include <unistd.h>
    
    void print_help(char *prog_name) {
            printf("Usage: %s [-n] DEVNAME COMMAND\n", prog_name);

cha55son

#!/bin/bash

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

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 {

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:

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)

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

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");

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))