elif next_word is not None:
total2 = sum(markov[next_word].values())
# print("total2", total2)
rand_float2 = random.randint(1, total2)
for key, value in markov[next_word].items():
# print("value", value)
fence += int(value)
# print("fence2", fence)
if fence >= rand_float2:
return key
### Testing(does not use the normalized markov and just uses regular markov chain)
if __name__ == '__main__':
content = open_file("test.txt")
marv = generate_markov_1st_order(content)
print(marv)
i = 10
markov_example = markov_sample_histogram(marv)
sentence = ''
while i > 0:
markov_example2 = markov_sample_histogram(marv, markov_example)
sentence += " " + markov_example2
markov_example = markov_example2
# print(i)
i -= 1
print(sentence)
def __init__(self, text_file):
self.content = open_file(text_file)
self.markov = self.build_markov(self.content)
def word_text(self, path='test.txt'):
words = open_file(path)
return words
def open_text(self, path='test.txt'):
text = open_file(path)
return text
def __init__(self, text_file):
self.content = open_file(text_file)
self.markov = self.chain(self.content)
def get_text(self, path='jordanpeterson.txt'):
# Reuses open_file from histogram, grabs text
text = open_file(path)
return text
# from random import random
import random
from histogram import open_file, histogram, frequency, total_words
histogram = (histogram(open_file('test.txt')))
# histogram = {"one": 1, "fish": 4, "two": 1, "blue": 1, "red": 1}
# print(frequency("the", histogram(open_file())))
# print(frequency("of", histogram(open_file())))
# print(total_words(histogram(open_file())))
total_words = total_words(histogram)
print(total_words)
def stochastic(dic, total_words):
rand_num = random.randint(1, total_words)
# print(rand_num)
total_value = 0
for key, value in dic.items():
# if rand_num <= value:
# print("total_value", total_value)
if rand_num - value - total_value <= 0:
return key
else:
total_value += value
""" THis is the same as the abovaluee """
# def one(dic, total):
import random
from histogram import open_file, histogram, frequency
histogram = (histogram(open_file('test.txt')))
# histogram = {"one": 1, "fish": 4, "two": 1, "blue": 1, "red": 1}
print(frequency("the", histogram(open_file())))
# print(frequency("of", histogram(open_file())))
# print(total_words(histogram(open_file())))
total_words = total_words(histogram)
print(total_words)
def stochastic(dic, total_words):
rand_num = random.randint(1, total_words)
# print(rand_num)
total_value = 0
for key,value in dic.items():
# if rand_num <= value:
# print("total_value", total_value)
if rand_num - value - total_value <= 0:
return key
else:
total_value += value
from flask import Flask, render_template, request, url_for
import random
from histogram import open_file, histogram, frequency
from sample import stochastic, words_in_total
from markov_chain_order import Markov
app = Flask(__name__)
text_title = "Dr. Jekyll and Mr. Hyde, The Story of the Door"
file_content = open_file("book.txt")
markov_chain = Markov(file_content, 2)
@app.route('/')
def index():
num = request.args.get('length')
if num:
sentence = markov_chain.get_sentence(int(num))
return render_template("base.html", word=sentence, title=text_title)
else:
sentence = markov_chain.get_sentence(10)
return render_template("base.html", word=sentence, title=text_title)
if __name__ == '__main__':
app.run(debug=True)
# from random import random
import random
from histogram import open_file, histogram, frequency, total_words
# Getting the histogram
histogram = (histogram(open_file("test.txt")))
total_words = total_words(histogram)
# print(total_words)
def stochastic(dic, total_words):
rand_num = random.randint(1, total_words)
# print(rand_num)
total_value = 0
for key, value in dic.items():
# if rand_num <= value:
# print("total_value", total_value)
if rand_num - value - total_value <= 0:
return key
else:
total_value += value
# print(stochastic(histogram, total_words))
""" THis is the same as the abovaluee """
# def one(dic, total):
# rand_num = random.randint(1, total)
# total_value = 0
def __init__(self, text_file):
"""Initilize markov class"""
self.content = open_file(text_file)
self.markov = self.chain(self.content)
import random
from histogram import open_file, histogram, frequency
histogram = (histogram(open_file('words.txt')))
histogram1 = histogram(open_file())
print(frequency("the", histogram1)
#histogram(open_file())))
# print(frequency("of", histogram(open_file())))
# print(total_words(histogram(open_file())))
# total_words = total_words(histogram)