davefernig

import sys
import re


VARIABLE_ASSIGNMENT_REGEX = r'[a-zA-Z_]*='

SQR = 'SQR'
ABS = 'ABS'

INI = '^'

davefernig

from __future__ import division

from random import randint
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd


SAMPLES_PER_N_VALUE = 10000
N_VALUES = [2**n for n in (range(10))]

davefernig

# Before executing this script, run the following in your terminal:
# virtualenv .
# source bin/activate
# pip install beautifulsoup4

from bs4 import BeautifulSoup
import urllib2


path = "http://www12.statcan.gc.ca/census-recensement/2016/as-sa/98-200-x/2016001/98-200-x2016001-eng.cfm"

davefernig

def __numpy_to_string(A):
    return A.tostring().hex()

def __string_to_numpy(S):
    return np.frombuffer(bytes.fromhex(S), dtype=np.float32)

davefernig

import seaborn as sns
import pandas as pd
import pylab as plt
import numpy as np
import itertools
import random
import time


def brute_force(cnf):

davefernig

"""
A tool to calculate probabilities in Perudo.
David Fernig, 2018
"""

from __future__ import division
import scipy.special


class Round(object):