





from typing import Dict, List, Optional, Tuple

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


UpperCAmelCase			:			Any	  = logging.get_logger(__name__)







class        __lowerCAmelCase (					UpperCamelCase__):
      _lowercase       :      List[Any]        =    ['''input_ids''', '''attention_mask''']







      def __init__(					self	,   lowerCAmelCase__="[PAD]"	,   lowerCAmelCase__="[BOS]"	,   lowerCAmelCase__="[EOS]"	,   lowerCAmelCase__="[MASK]"	,   lowerCAmelCase__="[CLS]"	,   lowerCAmelCase__="[SEP]"	,   lowerCAmelCase__=2_0_4_8	,   **lowerCAmelCase__	,   )     ->		None:



        '''simple docstring'''




        a__			:      Any            =AddedToken(a_	,   lstrip=a_	,   rstrip=a_							) if isinstance(a_	,   a_							) else pad_token
        a__			:      List[str]            =AddedToken(a_	,   lstrip=a_	,   rstrip=a_							) if isinstance(a_	,   a_							) else bos_token
        a__			:      Optional[Any]            =AddedToken(a_	,   lstrip=a_	,   rstrip=a_							) if isinstance(a_	,   a_							) else eos_token
        a__			:      Dict            =AddedToken(a_	,   lstrip=a_	,   rstrip=a_							) if isinstance(a_	,   a_							) else mask_token
        a__			:      Optional[int]            =AddedToken(a_	,   lstrip=a_	,   rstrip=a_							) if isinstance(a_	,   a_							) else cls_token
        a__			:      Any            =AddedToken(a_	,   lstrip=a_	,   rstrip=a_							) if isinstance(a_	,   a_							) else sep_token

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

        a__			:      str            =2**8  # utf is 8 bits

        # define special tokens dict
        a__			:      Dict            ={
            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__			:      Tuple            =len(self.special_tokens_encoder							)
        a__			:      str            ={v: k for k, v in self.special_tokens_encoder.items()}







      def      _lowercase						(					self							)     ->		Dict[str, int]:



        '''simple docstring'''




        a__			:      Optional[int]            =self.special_tokens_encoder.copy()
        vocab.update(self.added_tokens_encoder							)
        for i in range(self._utf_vocab_size							):
          a__			:      Optional[int]            =chr(a_							)
          a__			:      Tuple            =i + len(self.special_tokens_encoder							)
        return vocab







      @property
      def      _lowercase						(					self							)     ->		Union[str, Any]:



        '''simple docstring'''




        return self._utf_vocab_size + self._num_special_tokens







      def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None	,   lowerCAmelCase__ = False							)     ->		List[int]:



        '''simple docstring'''




        if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=a_	,   token_ids_a=a_	,   already_has_special_tokens=a_							)

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







      def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		List[int]:



        '''simple docstring'''




        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      _lowercase						(					self	,   lowerCAmelCase__							)     ->		List[str]:



        '''simple docstring'''




        a__			:      List[Any]            =[chr(a_							) for i in text.encode("utf-8"							)]
        return tokens







      def      _lowercase						(					self	,   lowerCAmelCase__							)     ->		Union[str, Any]:



        '''simple docstring'''




        if token in self.special_tokens_encoder:
          a__			:      str            =self.special_tokens_encoder[token]
        elif token in self.added_tokens_encoder:
          a__			:      Optional[int]            =self.added_tokens_encoder[token]
        elif len(a_							) != 1:
          a__			:      Union[str, Any]            =self.unk_token_id
        else:
          a__			:      Optional[int]            =ord(a_							) + self._num_special_tokens
        return token_id







      def      _lowercase						(					self	,   lowerCAmelCase__							)     ->		Union[str, Any]:



        '''simple docstring'''




        if index in self.special_tokens_decoder:
          a__			:      List[str]            =self.special_tokens_decoder[index]
        elif index in self.added_tokens_decoder:
          a__			:      Optional[int]            =self.added_tokens_decoder[index]
        else:
          a__			:      Dict            =chr(index - self._num_special_tokens							)
        return token







      def      _lowercase						(					self	,   lowerCAmelCase__							)     ->		Union[str, Any]:



        '''simple docstring'''




        a__			:      Optional[Any]            =B""
        for token in tokens:
          if token in self.special_tokens_decoder:
            a__			:      int            =self.special_tokens_decoder[token].encode("utf-8"							)
          elif token in self.added_tokens_decoder:
            a__			:      Optional[int]            =self.special_tokens_decoder[token].encode("utf-8"							)
          elif token in self.special_tokens_encoder:
            a__			:      Dict            =token.encode("utf-8"							)
          elif token in self.added_tokens_encoder:
            a__			:      List[Any]            =token.encode("utf-8"							)
          else:
            a__			:      Dict            =bytes([ord(a_							)]							)
          bstring += tok_string
        a__			:      str            =bstring.decode("utf-8"	,   errors="replace"							)
        return string







      def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		Tuple[str]:



        '''simple docstring'''




        return ()













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

import torch_xla.distributed.xla_multiprocessing as xmp
def   _A (	):





  """simple docstring"""



  a__			:      Optional[int]            =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=SCREAMING_SNAKE_CASE , default=1 , help="Number of TPU cores to use (1 or 8)."		)

  # positional
  parser.add_argument(
      "training_script" , type=SCREAMING_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=SCREAMING_SNAKE_CASE		)

  return parser.parse_args()
def   _A (	):





  """simple docstring"""



  a__			:      Optional[Any]            =parse_args()

  # Import training_script as a module.
  a__			:      Tuple            =Path(args.training_script		)
  sys.path.append(str(script_fpath.parent.resolve()		)		)
  a__			:      Tuple            =script_fpath.stem
  a__			:      Any            =importlib.import_module(SCREAMING_SNAKE_CASE		)

  # Patch sys.argv
  a__			:      List[str]            =[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()






