jcchurch

And that judge wasn't gonna look at the twenty-seven eight-by-ten color glossy pictures with the circles and arrows and a paragraph on the back of each one, explainin' what each one was to be used as evidence against us. And we was fined fifty dollars and had to pick up the garbage in the snow, but that's not what I came to tell you about.
All your base are belong to us.
Support your local medievalist.
The three kinds of people: Those who can count and those who can't.
Must be user error.
Close Cover Before Striking
The light at the end of the tunnel is usually a train.
42
First pants THEN your shoes.
BSA HandBook, 2nd Ed,: "Scouts as a rule do not go into the big woods."

jcchurch

import re

text = "101011011101010001101101011011101010100010101101010001101100101011011101010001110100111011010101101110110110101110110101000011010101101110110100111011010101101011010100110101001000100100011010100101011100110101001000101011010100110101001010100111010101101001001010101110100101010001010101101001001010100111010101101010101010110001010001110100101011010101010010010100011101000110101010110001010000101001001101010011101011011101010100101011010100111010110100101001001101010011010101000101001010110111010100011111010110110010101101110111010101000101001010111101101010001101001110110101011101101101101011010011101101011101101010001101000101001010111010110101001101010001101001000110101101010011010101001010111010110101001010100010101001110101011010100010101010101010011101011101001010100010101010101110100101101010101100010100010101001010011010101011010110101110100101101010101011"

def bin2ascii(binary_form):
    """Converts binary strings of length 8 to ASCII"""
    if len(binary_form) != 8:
        retur

jcchurch

function quickPlot(varargin)
    % This function is useful for printing point
    % cloud data quickly. This function accepts
    % one or more vectors, in either 2D or 3D,
    % and either row-order or column-order format.

    n = size(varargin, 2);
    colors = char('r.', 'g.', 'b.', 'c.', 'm.');
    num_colors = size(colors, 1);

jcchurch

/*
 *  The Monty Hall Problem is a famous teaching problem
 *  in statistics. It works like this:
 *
 *  Imagine that you are on the show "Let's Make a Deal"
 *  with Monty Hall. Monty shows you three doors and says
 *  that a car exists behind one of them. You may pick
 *  one door and if the car is behind it, you win the car.
 *
 *  You pick a door. Monty then chances the rules. He opens

jcchurch

"""

This code computes pi. It's not the first python
pi computation tool that I've written.  This program
is a good test of the mpi4py library, which is
essentially a python wrapper to the C MPI library.

To execute this code:

mpiexec -np NUMBER_OF_PROCESSES -f NODES_FILE python mpipypi.py

jcchurch

function D = dijkstra(G, pairs)
    % This function takes an adjacency matrix called G
    % and a p-by-2 matrix called pairs.
    % The pairs matrix will contain pairs of indices.
    % This function will determine the shortest distance from
    % the first index in the pair to the second index for
    % every pair in matrix pairs.
    %
    % The function will only return a p-by-1 matrix of shortest
    % distances. I could use it to also return the shortest path,

jcchurch

function gplot3(A, xyz)
    % GPLOT3(A, xyz) is nearly the same as GPLOT(A, xy) except
    % that the xyz variable requires a third dimension.
    % This function takes an adjacency matrix and visualizes it
    % in 3D.
    [d e] = size(A);
    if d ~= e
        error('A matrix must be square.');
    end

jcchurch

function newCurve = spline3d(curve, dt) 
    % interpote a 3d curve using spline 
    % path 3*x 
    % newPath 3*x
    x = curve(1, :); 
    y = curve(2, :); 
    z = curve(3, :);
    t = cumsum([0;sqrt(diff(x(:)).^2 + diff(y(:)).^2 + diff(z(:)).^2)]); 
    sx = spline(t,x); 
    sy = spline(t,y); 

jcchurch

function V = rotationMatrix(P, x, y, z)
    % rotationMatrix performs the 3 axis rotation on a
    % matrix P, which is a 3-by-p set of points, where
    % d is equal to 3 and represents the dimensionality
    % of the data and p represents the total number of
    % observations.
    %
    % x represents the amount of rotation along the x axis in radians
    % y represents the amount of rotation along the y axis in radians
    % z represents the amount of rotation along the z axis in radians

jcchurch

function result = connected(A)
    % connected(A)
    %
    % This function takes an adjacency matrix A
    % and returns if the graph is connected.
    % 1 means connected.
    % 0 means not connected.

    % We assume that the starting result is connected.
    % In lawyer terms, the graph is connected until proven