import random
import time

random.seed(random.randint(0,100) + time.time())

def rand_typo(ft):
    ftlen = len(ft)-1
    r1 = random.randint(0, ftlen)
    r2 = random.randint(r1, r1+random.randint(1,3))
    temp = ft[r1], ft[r2]
    ft[r2], ft[r1] = temp
    return ft

def randpeek(ft):
    rn = len(ft)-1
    chain = ft[random.randint(0, rn):random.randint(0, rn)]
    chain2 = ft[random.randint(0, rn):random.randint(0, rn)]
    ft[random.randint(0, rn):random.randint(0, rn)] = chain + chain2
    if random.choice([True, False]):
        ft = rand_typo(ft)
    return ft

def randt(text):
    ft = list(text)
    peek = random.randint(0, len(ft)-1)
    pk2 = random.randint(0, len(ft)-1)
    temp = ft[pk2]
    ft[pk2] = ft[peek]
    ft[peek] = ft[pk2]
    if random.choice([True, False]):
        ft = randpeek(ft)
    return ''.join(ft)

def minrep(text, chains):
    chances = (
        lambda chain: random.choice(random.choice(chains).split(' ')),
        lambda chain: randt(random.choice(chain))
    )
    text = text.split(' ')
    rchoice = random.randint(0, len(text)-1)
    text[rchoice] = random.choice(chances)(chains)
    return ' '.join(text)

def shit(learn_mat = [], count = 3):
    callbacks = (
        lambda x, chains: x + ' ' + random.choice(random.choice(learn_mat)),
        minrep
    )
    text = ""
    for n in range(0,count):
        text += random.choice(callbacks)(random.choice(learn_mat), learn_mat)
        text += " "
    return text

with open("dataset.txt") as file:
    mat = file.read().split('::\n')
mat = [n.strip() for n in mat]
print(shit(mat))