

'''simple docstring'''





import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
A											=     logging.getLogger(__name__)





def a():





	'''simple docstring'''
	snake_case_      		= argparse.ArgumentParser(
	    description='Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).'	)
	parser.add_argument('--file_path'			, type=_SCREAMING_SNAKE_CASE			, default='data/dump.txt'			, help='The path to the data.'	)
	parser.add_argument('--tokenizer_type'			, type=_SCREAMING_SNAKE_CASE			, default='bert'			, choices=['bert', 'roberta', 'gpt2']	)
	parser.add_argument('--tokenizer_name'			, type=_SCREAMING_SNAKE_CASE			, default='bert-base-uncased'			, help='The tokenizer to use.'	)
	parser.add_argument('--dump_file'			, type=_SCREAMING_SNAKE_CASE			, default='data/dump'			, help='The dump file prefix.'	)
	snake_case_      		= parser.parse_args()

	logger.info(f"""Loading Tokenizer ({args.tokenizer_name})"""	)
	if args.tokenizer_type == "bert":
		snake_case_      		= BertTokenizer.from_pretrained(args.tokenizer_name	)
		snake_case_      		= tokenizer.special_tokens_map['cls_token']  # `[CLS]`
		snake_case_      		= tokenizer.special_tokens_map['sep_token']  # `[SEP]`
	elif args.tokenizer_type == "roberta":
		snake_case_      		= RobertaTokenizer.from_pretrained(args.tokenizer_name	)
		snake_case_      		= tokenizer.special_tokens_map['cls_token']  # `<s>`
		snake_case_      		= tokenizer.special_tokens_map['sep_token']  # `</s>`
	elif args.tokenizer_type == "gpt2":
		snake_case_      		= GPTaTokenizer.from_pretrained(args.tokenizer_name	)
		snake_case_      		= tokenizer.special_tokens_map['bos_token']  # `<|endoftext|>`
		snake_case_      		= tokenizer.special_tokens_map['eos_token']  # `<|endoftext|>`

	logger.info(f"""Loading text from {args.file_path}"""	)
	with open(args.file_path			, 'r'			, encoding='utf8'	) as fp:
		snake_case_      		= fp.readlines()

	logger.info('Start encoding'	)
	logger.info(f"""{len(_SCREAMING_SNAKE_CASE	)} examples to process."""	)

	snake_case_      		= []
	snake_case_      		= 0
	snake_case_      		= 10000
	snake_case_      		= time.time()
	for text in data:
		snake_case_      		= f"""{bos} {text.strip()} {sep}"""
		snake_case_      		= tokenizer.encode(_SCREAMING_SNAKE_CASE			, add_special_tokens=_SCREAMING_SNAKE_CASE	)
		rslt.append(_SCREAMING_SNAKE_CASE	)

		iter += 1
		if iter % interval == 0:
			snake_case_      		= time.time()
			logger.info(f"""{iter} examples processed. - {(end-start):.2f}s/{interval}expl"""	)
			snake_case_      		= time.time()
	logger.info('Finished binarization'	)
	logger.info(f"""{len(_SCREAMING_SNAKE_CASE	)} examples processed."""	)

	snake_case_      		= f"""{args.dump_file}.{args.tokenizer_name}.pickle"""
	snake_case_      		= tokenizer.vocab_size
	if vocab_size < (1 << 16):
		snake_case_      		= [np.uintaa(_SCREAMING_SNAKE_CASE	) for d in rslt]
	else:
		snake_case_      		= [np.intaa(_SCREAMING_SNAKE_CASE	) for d in rslt]
	random.shuffle(rslt_	)
	logger.info(f"""Dump to {dp_file}"""	)
	with open(_SCREAMING_SNAKE_CASE			, 'wb'	) as handle:
		pickle.dump(rslt_			, _SCREAMING_SNAKE_CASE			, protocol=pickle.HIGHEST_PROTOCOL	)


if __name__ == "__main__":
		main()



def a(lowercase__			, lowercase__	):





	'''simple docstring'''
	if not isinstance(lowercase__			, lowercase__	):
		raise ValueError('iterations must be defined as integers'	)
	if not isinstance(lowercase__			, lowercase__	) or not number >= 1:
		raise ValueError(
		    'starting number must be\n                         and integer and be more than 0'	)
	if not iterations >= 1:
		raise ValueError('Iterations must be done more than 0 times to play FizzBuzz'	)

	snake_case_      		= ''
	while number <= iterations:
		if number % 3 == 0:
			out += "Fizz"
		if number % 5 == 0:
			out += "Buzz"
		if 0 not in (number % 3, number % 5):
			out += str(lowercase__	)

		# print(out)
		number += 1
		out += " "
	return out


if __name__ == "__main__":
		import doctest

		doctest.testmod()
