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"""
Module implemented restricted APIs based on graph types.

"""
_graph_types = set(['graph', 'multigraph', 'digraph', 'multidigraph'])

class MockModule(object):
    """
    A mock module.

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// Useful for students in need of block quotes for their paper, etc.

// Execute the line in your JavaScript console
new_window=window.open();new_window.document.body.innerHTML = $('iframe').contents().find('iframe').contents().find('body').get(1).innerHTML;

javascript:new_window=window.open();new_window.document.body.innerHTML = $('iframe').contents().find('iframe').contents().find('body').get(1).innerHTML;

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(function() {
  function uncrippleFrame() {
    var body = this.contentWindow.document.getElementsByTagName('body')[0];

    this.contentWindow.onclick = null;
    body._frame = this;

    body.onmousemove = function() {
      this._frame.contentWindow.onclick = null;
      this.setAttribute('style', '-webkit-user-select: auto;');

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import networkx as nx

def line_graph(G, create_using=None):
    # This code works only for multidigraphs

    if create_using is None:
        L = G.__class__()
    else:
        # Already instantiated.
        L = create_using

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# This is free and unencumbered software released into the public domain.
# See UNLICENSE.

import numpy as np
import numpy.core.arrayprint as arrayprint
import contextlib

#
# cc-wiki
# http://stackoverflow.com/questions/2891790/pretty-printing-of-numpy-array

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def rolling_window(array, window=(0,), asteps=None, wsteps=None, axes=None, toend=True):
    """Create a view of `array` which for every point gives the n-dimensional
    neighbourhood of size window. New dimensions are added at the end of
    `array` or after the corresponding original dimension.
    
    Parameters
    ----------
    array : array_like
        Array to which the rolling window is applied.
    window : int or tuple

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"""
Some functions related to Bayesian networks (DAGs).

Most of this was pulled from:
    http://www.mi.parisdescartes.fr/~nuel/bntworkshop2010/lecture3.pdf

"""

import networkx as nx

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# original XML at http://www.w3.org/Math/characters/unicode.xml
# XSL for conversion: https://gist.github.com/798546


unicode_to_latex = {
    u"\u0020": "\\space ",
    u"\u0023": "\\#",
    u"\u0024": "\\textdollar ",
    u"\u0025": "\\%",
    u"\u0026": "\\&",

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/*
  I've wrapped Makoto Matsumoto and Takuji Nishimura's code in a namespace
  so it's better encapsulated. Now you can have multiple random number generators
  and they won't stomp all over eachother's state.
  
  If you want to use this as a substitute for Math.random(), use the random()
  method like so:
  
  var m = new MersenneTwister();

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from collections import Callable
from cyordereddict import OrderedDict

class DefaultOrderedDict(OrderedDict):
    # Source: http://stackoverflow.com/a/6190500/562769
    def __init__(self, default_factory=None, *a, **kw):
        if (default_factory is not None and
           not isinstance(default_factory, Callable)):
            raise TypeError('first argument must be callable')
        OrderedDict.__init__(self, *a, **kw)