felixpeters

import re
    
def hashtag_repl(hashtag):
    """
    adds hashtag mark and splits hashtag body on uppercase letters
    """
    body = hashtag.group(0)[1:]
    if body.upper() == body:
        result = '<hashtag> ' + body + ' <allcaps>'
    else:

felixpeters

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)