dinob0t

import nltk
from nltk.corpus import stopwords
from collections import Counter
from sklearn.feature_extraction.text import TfidfVectorizer

def get_tokens(no_punctuation):
    tokens = nltk.word_tokenize(no_punctuation)
    return tokens

def remove_stop_words(tokens):

dinob0t

import threading
from Queue import Queue
NUMBER_THREADS = 2
work = range(1,11)
q = Queue()
def queue_work():
    while True:
        number = q.get()
        if not number:
            break

dinob0t

def next_candidate(current_x, bounds):
    found = False
    while not found:
        candidate = [np.random.randint(np.max([x-1, b[0]]), high=np.min([x+2, b[1]+1])) for x, b in zip(current_x, bounds)]
        if np.sum(np.abs(np.subtract(current_x, candidate))) >= 1:
            found = True
            return candidate

def likelihood_ratio(chi1, chi2, sigma):
    return np.exp((-chi2+chi1)/(2.0*(sigma**2.0)))

dinob0t

create function 
prob_b_beat_a
(total_a int, conv_a int,  total_b int, conv_b int)

--INPUTS:
-- total_a = total number that saw A
-- conv_a = converters for version A
-- total_b = total number that saw B
-- conv_b = converters for version B

dinob0t

create function 
ztest_proportion_two_samples
(total_a float, conv_a float,  total_b float, conv_b float, one_sided boolean)

--INPUTS:
-- total_a = total number that saw A
-- conv_a = converters for version A
-- total_b = total number that saw B
-- conv_b = converters for version B
-- one_sided = one or two sided test

dinob0t

create function 
zconf_interval_two_samples
(total_a float, conv_a float,  total_b float, conv_b float, alpha float)

--INPUTS:
-- total_a = total number that saw A
-- conv_a = converters for version A
-- total_b = total number that saw B
-- conv_b = converters for version B
-- alpha = alpha value (0.05?)

dinob0t

create function 
prob_b_beat_a
(total_a int, conv_a int,  total_b int, conv_b int)

--INPUTS:
-- total_a = total number that saw A
-- conv_a = converters for version A
-- total_b = total number that saw B
-- conv_b = converters for version B

dinob0t

dinob0t

dinob0t