kingoflolz

from pprint import pprint
import json
def application(functor, arg, slash):
    if functor is None or arg is None:
        return None
    if '/' in arg or '\\' in arg:
        arg = '(' + arg + ')'
    arg = slash + arg
    if functor.endswith(arg):
        res = functor[:-len(arg)]

kingoflolz

from pprint import pprint
import json
def application(functor, arg, slash):
    if functor is None or arg is None:
        return None
    if '/' in arg or '\\' in arg:
        arg = '(' + arg + ')'
    arg = slash + arg
    if functor.endswith(arg):
        res = functor[:-len(arg)]

kingoflolz

from pprint import pprint
import json
def application(functor, arg, slash):
    if functor is None or arg is None:
        return None
    if '/' in arg or '\\' in arg:
        arg = '(' + arg + ')'
    arg = slash + arg
    if functor.endswith(arg):
        res = functor[:-len(arg)]

kingoflolz

from pprint import pprint
from queue import Queue


w = input("Enter configuration: ")
z = w.split(" ")
paths = {}
for t in z:
    if "<->" in t:
        v = t.split("<->")

kingoflolz

__author__ = 'Ben'
from pprint import pprint

budget = int(input("Budget: "))

cartrages = [

]

v = (input("Cartridge: "))

kingoflolz

from pprint import pprint
from queue import Queue


w = input("Enter configuration: ")
z = w.split(" ")
paths = {}
for t in z:
    if "<->" in t:
        v = t.split("<->")

kingoflolz

__author__ = 'Ben'
from pprint import pprint
import operator


def shift(seq, n):
    n %= len(seq)
    return seq[n:] + seq[:n]

class Dice:

kingoflolz

from xml.etree import ElementTree
from pprint import pprint


tree = ElementTree.parse('diagram.svg')

out = {}


def walk(node, attribs):

kingoflolz

import re
from xml.etree.ElementTree import Element, SubElement, Comment, tostring

RE_TOKENS = re.compile(r'[()\\/\s]|[a-zA-Z]+')


def tokenize(cat):
    return RE_TOKENS.findall(cat)

def hassep(ccg):

kingoflolz

import numpy as np
import copy

class Matrix:
    def __init__(self, m, n=None):
        if isinstance(m, np.ndarray):
            self._data = m
        else:
            self._data = np.zeros((m, n), dtype=np.int32)