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"""Functions for reading binary files with the digits of pi stored
as 4-bit ints."""

def bin_file_to_digits(filename, the_type=str):
    raw_bytes = np.fromfile(filename, dtype=np.byte)
    for b in raw_bytes[0:10000]:
        digits = byte_to_digits(b)
        yield the_type(digits[0])
        yield the_type(digits[1])

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from sympy.physics.quantum import *
from sympy.physics.cartesian import *
from sympy.physics.piab import *
from sympy.physics.spin import *

# Basic manipulations with operators, bras, kets and commutators

psi, phi = Ket('psi'), Ket('phi')
psi, phi
A, B, C = Operator('A'), Operator('B'), Operator('C')

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"""Quantum mechanics on graphs.

Todo:

* Implement dirichlet boundary conditions.
* Use node attributes to label boundary points and impose dirichlet boundary
  conditions.
* Develop plotting/viz routines using matplotlib/mayavi2.
* Use node attributes to store the physics coordinates of the point.
* Write a bisect function to put additional nodes between existing ones.

ellisonbg

"""Solve the 1D diffusion equation using CN and finite differences."""
from time import sleep

import numpy as np
import matplotlib.pyplot as plt
import networkx as nx

# The total number of nodes
nnodes = 10
# The total number of times

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from numpy import *
from matplotlib.pyplot import *

from time import sleep

import numpy as np
import networkx as nx

dim = [3,2]

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"""Solve the 1D diffusion equation using CN and finite differences."""
from time import sleep

import numpy as np
import matplotlib.pyplot as plt
import networkx as nx

# The total number of nodes
numx = 5
numy = 5

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"""Solve the 1D diffusion equation using CN and finite differences."""
from time import sleep

import numpy as np
import matplotlib.pyplot as plt
import networkx as nx

# The total number of nodes
nodx = 3
nody = 3

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============================
Configuring IPython.parallel
============================

This guide describes the steps needed to run IPython engines on Microsoft Azure to perform a parallel
computation in the Microsoft cloud. We assume (see above guide) that Python, IPython and PyZMQ have
been installed on a set of Azure compute nodes.

1. Install Python, IPython and PyZMQ on a system having open access to the internet. We used an
   Ubuntu 11.04 system for this purpose. This system will run the IPython controller and the IPython 

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import networkx as nx
import matplotlib as mat

# Builds a graphene sheet with the given number of rows and columns.
# The sheet has a defected column running through the optionally passed
# arg. Otherwise it defaults to the center.
def build_defected_graph(rows, columns, defect = 0):
    g = nx.Graph()
    
    if( columns <= 2 ):

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