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#!/usr/bin/python
# take a master css file and inject @import css files into it.

import re, os, sys

bigcss = []

path = sys.argv[1]
output = sys.argv[2]

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#!/bin/bash
# remove all svn:external references
# in a bunch of numbered directories

for i in {2..17}
do
    echo $i
    svn propdel svn:externals package.$i/build
done

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#!/usr/bin/python
# read an svn parent page and export everything

import re
import urllib2
from BeautifulSoup import BeautifulSoup
from subprocess import call
import os

subversion = 'http://subversion.tigris.org/'

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#!/bin/bash
# rsync pull from remote to local

rsync -azv --rsync-path=/usr/local/bin/rsync --delete --force jira@<some ip>:attachments/ /var/jira/jira-data/attachments/

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#!/usr/bin/python
# vim settings python

print "yes"

# vim: set et ts=4 sw=4 tw=72 nu:

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#!/bin/bash
# better grep if you use svn

# Copyright 2004 Ben Reser <ben@reser.org>
# Licensed under the terms subversion ships under or GPLv2.

# Useful for greping in a subversion working copy.  
# Essentially it behaves the same way your grep command does (in fact it
# ultimately calls the grep command on your path) with a few exceptions.
# Ignores the subversion admin directories (.svn) and vi(m) backup files.

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#!/usr/bin/python
# Ou bouffer a Paris

import urllib2
import re
import time
import random
import sys
try:
    import json

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#!/usr/bin/python
# primes up to 10000
# Steve Krenzel's code

r,e,a = range,enumerate,all
for i,x in e(i for i in r(4,10**4) if a(i%j!=0 for j in r(3,i))):
    print x

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#!/usr/bin/python
# smarts from Steve Krenzel

import sys, time
from random import randint
from math import sqrt, ceil, floor, log

MAX = 20000000

def sieveOfErat(upperBound):

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""" Tarjan's algorithm and topological sorting implementation in Python
   by Paul Harrison, Public domain, do with it as you will"""

def strongly_connected_components(graph):
    """ Find the strongly connected components in a graph using
        Tarjan's algorithm.
        
        graph should be a dictionary mapping node names to
        lists of successor nodes.
        """