






'''simple docstring'''







from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__A      :       List[Any]      =	logging.get_logger(__name__)






class 					a__    (			lowerCamelCase						):
     '''simple docstring'''







     _snake_case             =  ['input_ids', 'attention_mask']






     def __init__(self    :	Optional[Any]				,				lowercase__    :	Optional[Any]="[PAD]"				,				lowercase__    :	Union[str, Any]="[BOS]"				,				lowercase__    :	List[Any]="[EOS]"				,				lowercase__    :	Dict="[MASK]"				,				lowercase__    :	Tuple="[CLS]"				,				lowercase__    :	List[str]="[SEP]"				,				lowercase__    :	Union[str, Any]=2048				,				**lowercase__    :	List[str]				,				)  ->       None:
           __A		   =      AddedToken(lowercase__				,				lstrip=lowercase__				,				rstrip=lowercase__					) if isinstance(lowercase__				,				lowercase__					) else pad_token
           __A		   =      AddedToken(lowercase__				,				lstrip=lowercase__				,				rstrip=lowercase__					) if isinstance(lowercase__				,				lowercase__					) else bos_token
           __A		   =      AddedToken(lowercase__				,				lstrip=lowercase__				,				rstrip=lowercase__					) if isinstance(lowercase__				,				lowercase__					) else eos_token
           __A		   =      AddedToken(lowercase__				,				lstrip=lowercase__				,				rstrip=lowercase__					) if isinstance(lowercase__				,				lowercase__					) else mask_token
           __A		   =      AddedToken(lowercase__				,				lstrip=lowercase__				,				rstrip=lowercase__					) if isinstance(lowercase__				,				lowercase__					) else cls_token
           __A		   =      AddedToken(lowercase__				,				lstrip=lowercase__				,				rstrip=lowercase__					) if isinstance(lowercase__				,				lowercase__					) else sep_token

           super().__init__(
               pad_token=lowercase__				,				bos_token=lowercase__				,				eos_token=lowercase__				,				mask_token=lowercase__				,				cls_token=lowercase__				,				sep_token=lowercase__				,				model_max_length=lowercase__				,				**lowercase__				,				)

           __A		   =      2**8  # utf is 8 bits

           # define special tokens dict
           __A		   =      {
               self.pad_token: 0,
               self.bos_token: 1,
               self.eos_token: 2,
               self.mask_token: 3,
               self.cls_token: 4,
               self.sep_token: 5,
           }
           __A		   =      len(self.special_tokens_encoder					)
           __A		   =      {v: k for k, v in self.special_tokens_encoder.items()}






     def     _UpperCamelCase   (self    :	Union[str, Any]					)  ->       Dict[str, int]:
           __A		   =      self.special_tokens_encoder.copy()
           vocab.update(self.added_tokens_encoder					)
           for i in range(self._utf_vocab_size					):
                 __A		   =      chr(lowercase__					)
                 __A		   =      i + len(self.special_tokens_encoder					)
           return vocab






     @property
     def     _UpperCamelCase   (self    :	int					)  ->       str:
           return self._utf_vocab_size + self._num_special_tokens






     def     _UpperCamelCase   (self    :	Optional[Any]				,				lowercase__    :	List[int]				,				lowercase__    :	Optional[List[int]] = None				,				lowercase__    :	bool = False					)  ->       List[int]:
           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=lowercase__				,				token_ids_a=lowercase__				,				already_has_special_tokens=lowercase__					)

           # normal case: some special tokens
           if token_ids_a is None:
                 return [1] + [0] * len(lowercase__					) + [1]
           return [1] + ([0] * len(lowercase__					)) + [1] + ([0] * len(lowercase__					)) + [1]






     def     _UpperCamelCase   (self    :	int				,				lowercase__    :	List[int]				,				lowercase__    :	Optional[List[int]] = None					)  ->       List[int]:
           if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           else:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]






     def     _UpperCamelCase   (self    :	Optional[Any]				,				lowercase__    :	str					)  ->       List[str]:
           __A		   =      [chr(lowercase__					) for i in text.encode("utf-8"					)]
           return tokens






     def     _UpperCamelCase   (self    :	Tuple				,				lowercase__    :	Union[str, Any]					)  ->       Dict:
           if token in self.special_tokens_encoder:
                 __A		   =      self.special_tokens_encoder[token]
           elif token in self.added_tokens_encoder:
                 __A		   =      self.added_tokens_encoder[token]
           elif len(lowercase__					) != 1:
                 __A		   =      self.unk_token_id
           else:
                 __A		   =      ord(lowercase__					) + self._num_special_tokens
           return token_id






     def     _UpperCamelCase   (self    :	Tuple				,				lowercase__    :	Optional[Any]					)  ->       Optional[int]:
           if index in self.special_tokens_decoder:
                 __A		   =      self.special_tokens_decoder[index]
           elif index in self.added_tokens_decoder:
                 __A		   =      self.added_tokens_decoder[index]
           else:
                 __A		   =      chr(index - self._num_special_tokens					)
           return token






     def     _UpperCamelCase   (self    :	Optional[int]				,				lowercase__    :	Dict					)  ->       Optional[int]:
           __A		   =      B""
           for token in tokens:
                 if token in self.special_tokens_decoder:
                       __A		   =      self.special_tokens_decoder[token].encode("utf-8"					)
                 elif token in self.added_tokens_decoder:
                       __A		   =      self.special_tokens_decoder[token].encode("utf-8"					)
                 elif token in self.special_tokens_encoder:
                       __A		   =      token.encode("utf-8"					)
                 elif token in self.added_tokens_encoder:
                       __A		   =      token.encode("utf-8"					)
                 else:
                       __A		   =      bytes([ord(lowercase__					)]					)
                 bstring += tok_string
           __A		   =      bstring.decode("utf-8"				,				errors="replace"					)
           return string






     def     _UpperCamelCase   (self    :	List[Any]				,				lowercase__    :	str				,				lowercase__    :	Optional[str] = None					)  ->       Tuple[str]:
           return ()









'''simple docstring'''







import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp


def 						_UpperCamelCase							(     ):
      __A		   =      ArgumentParser(
          description=(
              "PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes"
          )							)

      # Optional arguments for the launch helper
      parser.add_argument("--num_cores"							,			type=snake_case__							,			default=1							,			help="Number of TPU cores to use (1 or 8)."							)

      # positional
      parser.add_argument(
          "training_script"							,			type=snake_case__							,			help=(
              "The full path to the single TPU training "
              "program/script to be launched in parallel, "
              "followed by all the arguments for the "
              "training script"
          )							,			)

      # rest from the training program
      parser.add_argument("training_script_args"							,			nargs=snake_case__							)

      return parser.parse_args()


def 						_UpperCamelCase							(     ):
      __A		   =      parse_args()

      # Import training_script as a module.
      __A		   =      Path(args.training_script							)
      sys.path.append(str(script_fpath.parent.resolve()							)							)
      __A		   =      script_fpath.stem
      __A		   =      importlib.import_module(snake_case__							)

      # Patch sys.argv
      __A		   =      [args.training_script] + args.training_script_args + ["--tpu_num_cores", str(args.num_cores							)]

      xmp.spawn(mod._mp_fn							,			args=()							,			nprocs=args.num_cores							)


if __name__ == "__main__":
       main()


