


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
)
snake_case    :   Optional[Any]	    =					logging.getLogger(__name__)
def     __lowerCamelCase						(			):




      """simple docstring"""





      a						:List[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=UpperCAmelCase_			,  default='''data/dump.txt'''			,  help='''The path to the data.'''						)
      parser.add_argument('''--tokenizer_type'''			,  type=UpperCAmelCase_			,  default='''bert'''			,  choices=['''bert''', '''roberta''', '''gpt2''']						)
      parser.add_argument('''--tokenizer_name'''			,  type=UpperCAmelCase_			,  default='''bert-base-uncased'''			,  help='''The tokenizer to use.'''						)
      parser.add_argument('''--dump_file'''			,  type=UpperCAmelCase_			,  default='''data/dump'''			,  help='''The dump file prefix.'''						)
      a						:List[str]										=	parser.parse_args()

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

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

      a						:Optional[Any]										=	[]
      a						:Optional[Any]										=	0
      a						:Union[str, Any]										=	1_0000
      a						:Optional[Any]										=	time.time()
      for text in data:
            a						:List[Any]										=	F'''{bos} {text.strip()} {sep}'''
            a						:str										=	tokenizer.encode(UpperCAmelCase_			,  add_special_tokens=UpperCAmelCase_						)
            rslt.append(UpperCAmelCase_						)

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

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


if __name__ == "__main__":
     main()









def     __lowerCamelCase						(			UpperCAmelCase_						:		str						):




      """simple docstring"""





      if n_term == "":
            return []
      a						:list										=	[]
      for temp in range(int(UpperCAmelCase_						)						):
            series.append(F'''1/{temp + 1}''' if series else '''1'''						)
      return series


if __name__ == "__main__":
     snake_case    :   Tuple	    =					input('''Enter the last number (nth term) of the Harmonic Series''')
     print('''Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n''')
     print(harmonic_series(nth_term))





