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# Build Russell 3000 List

# Import libraries
import urllib.request
import datetime

# Download Russell 3000 to local repository
f_path = "/Russell3000/Membership Lists/"
f_name = f_path + "Russell3000 " + datetime.date.today().strftime("(%b %d, %Y)")  + ".pdf"
def download_file(url):

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# Choose Ticker Universe (example: Run russell3000.py)
exec(open("russell3000(v.1.0).py").read())

# Import Libraries
import datetime as dt
import pandas_datareader as web
import multiprocessing as multi
import numpy as np
import math

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# Text Analyzer

# Import text & break up into words
raw_text = open('test.txt').read().lower()

# Clean up special words: replacing false sentence stop from exception words
def cleanup_special_words(text):
    # Since sentences ussually end with a [.?!], we need to create a dictionary of 
    # exception words that contain these characters
    exceptions = {'u.s.':'u*s*', 

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# Question 3

# Import the libraries
import numpy as np
import pandas as pd

# Recreate the dataset function
def recreate_dataset(set_size, conversion_ratios):
    import random