stephenmcd

import functools
import thread

def nonblocking(func):
    """
    Decorator that runs the given func in a separate thread 
    when called, eg::

        @nonblocking
        def some_blocking_func():

stephenmcd

import os, sys

c_like = {"single": "//", "multi_start": ("/*",), "multi_end": ("*/",),}

langs = {
    "py": {"single": "#", "multi_start": ("'''", '"""'),
        "multi_end": ("'''", '"""'),},
    "html": {"single": "//", "multi_start": ("<!--", "/*"),
        "multi_end": ("-->", "*/"),},
    "js": c_like,

stephenmcd

#!/usr/bin/env python

"""
Use a mercurial repository to generate a reStructuredText changelog. 
"""

from datetime import datetime
from mercurial import ui, hg
from django.utils.datastructures import SortedDict

stephenmcd

def save(self, *args, **kwargs):
    """
    Create a unique slug from the title by appending an index.
    """
    if self.id is None:
        self.slug = slugify(self.title)
        i = 0
        while True:
            if i > 0:
                self.slug = "%s-%s" % (self.slug, i)

stephenmcd

"""
Stand-alone data generation routine that uses the ecommerce taxonomy found on 
Google Base to generate a significant amount of category and product data, as 
well as using the Flickr API to retrieve images for the products. The 
multiprocessing module is also used for parallelization.

The Django models and environment used here are specific to the Cartridge 
project but the approach could easily be reused with any ecommerce database.
"""

stephenmcd

<?

/** 
 * ghetto life stream script for http://jupo.org
 *
 * The main function of this script is to use the feed provided by Google Buzz 
 * to create a life stream of entries from various sources with specific 
 * handling for each different type of source. Sources are either directly 
 * integrated into Google Buzz such as Twitter and Flickr, or are subscribed to 
 * via Google Reader which when shared are then sent to Google Buzz. So far the 

stephenmcd

from copy import copy
from itertools import dropwhile, takewhile
from re import match

from django import template
from django.utils.datastructures import SortedDict
from django.utils.translation import ugettext as _