
"""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
)
UpperCAmelCase      		=			logging.getLogger(__name__)






def       lowerCamelCase					()     ->							Optional[int]:
       lowercase		:Union[str, Any]       							=				argparse.ArgumentParser(
           description='''Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).''')
       parser.add_argument('''--file_path'''				,				type=a_				,				default='''data/dump.txt'''				,				help='''The path to the data.''')
       parser.add_argument('''--tokenizer_type'''				,				type=a_				,				default='''bert'''				,				choices=['''bert''', '''roberta''', '''gpt2'''])
       parser.add_argument('''--tokenizer_name'''				,				type=a_				,				default='''bert-base-uncased'''				,				help='''The tokenizer to use.''')
       parser.add_argument('''--dump_file'''				,				type=a_				,				default='''data/dump'''				,				help='''The dump file prefix.''')
       lowercase		:Optional[int]       							=				parser.parse_args()

       logger.info(F"""Loading Tokenizer ({args.tokenizer_name})""")
       if args.tokenizer_type == "bert":
              lowercase		:List[Any]       							=				BertTokenizer.from_pretrained(args.tokenizer_name)
              lowercase		:Optional[Any]       							=				tokenizer.special_tokens_map['''cls_token''']  # `[CLS]`
              lowercase		:int       							=				tokenizer.special_tokens_map['''sep_token''']  # `[SEP]`
       elif args.tokenizer_type == "roberta":
              lowercase		:Optional[Any]       							=				RobertaTokenizer.from_pretrained(args.tokenizer_name)
              lowercase		:Optional[Any]       							=				tokenizer.special_tokens_map['''cls_token''']  # `<s>`
              lowercase		:Dict       							=				tokenizer.special_tokens_map['''sep_token''']  # `</s>`
       elif args.tokenizer_type == "gpt2":
              lowercase		:Union[str, Any]       							=				GPTaTokenizer.from_pretrained(args.tokenizer_name)
              lowercase		:Tuple       							=				tokenizer.special_tokens_map['''bos_token''']  # `<|endoftext|>`
              lowercase		:List[Any]       							=				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:
              lowercase		:int       							=				fp.readlines()

       logger.info('''Start encoding''')
       logger.info(F"""{len(a_)} examples to process.""")

       lowercase		:int       							=				[]
       lowercase		:Tuple       							=				0
       lowercase		:Optional[int]       							=				1_0000
       lowercase		:Optional[int]       							=				time.time()
       for text in data:
              lowercase		:Optional[int]       							=				F"""{bos} {text.strip()} {sep}"""
              lowercase		:int       							=				tokenizer.encode(a_				,				add_special_tokens=a_)
              rslt.append(a_)

              iter += 1
              if iter % interval == 0:
                     lowercase		:List[Any]       							=				time.time()
                     logger.info(F"""{iter} examples processed. - {(end-start):.2f}s/{interval}expl""")
                     lowercase		:Optional[int]       							=				time.time()
       logger.info('''Finished binarization''')
       logger.info(F"""{len(a_)} examples processed.""")

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


if __name__ == "__main__":
 main()





"""simple docstring"""



import math






def       lowerCamelCase					(a_						:int)     ->							bool:
       assert isinstance(a_				,				a_) and (
           number >= 0
       ), "'number' must been an int and positive"

       if 1 < number < 4:
              # 2 and 3 are primes
              return True
       elif number < 2 or not number % 2:
              # Negatives, 0, 1 and all even numbers are not primes
              return False

       lowercase		:Any       							=				range(3				,				int(math.sqrt(a_) + 1)				,				2)
       return not any(not number % i for i in odd_numbers)






def       lowerCamelCase					(a_						:Optional[int]				,				a_						:Optional[int]=1				,				**a_						:List[str])     ->							Any:
       lowercase		:str       							=				factor * value
       lowercase		:int       							=				value

       while not is_prime(a_):
              value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1

       if value == first_value_val:
              return next_prime(value + 1				,				**a_)
       return value

