import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_rembert import RemBertTokenizer
else:
      UpperCamelCase__    							= None

UpperCamelCase__    							= logging.get_logger(__name__)
UpperCamelCase__    							= {'vocab_file': 'sentencepiece.model', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase__    							= {
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
    'tokenizer_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/tokenizer.json',
    },
}

UpperCamelCase__    							= {
    'google/rembert': 2_5_6,
}

UpperCamelCase__    							= '▁'





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Optional[Any]              =      VOCAB_FILES_NAMES
   __UpperCAmelCase			:			List[str]              =      PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase			:			str              =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase			:			Any              =      RemBertTokenizer


   def __init__(self					:						Union[str, Any]	,  __UpperCAmelCase					:						str=None	,  __UpperCAmelCase					:						Tuple=None	,  __UpperCAmelCase					:						Dict=True	,  __UpperCAmelCase					:						Tuple=True	,  __UpperCAmelCase					:						List[str]=False	,  __UpperCAmelCase					:						Any="[CLS]"	,  __UpperCAmelCase					:						List[str]="[SEP]"	,  __UpperCAmelCase					:						Tuple="<unk>"	,  __UpperCAmelCase					:						Any="[SEP]"	,  __UpperCAmelCase					:						Optional[Any]="<pad>"	,  __UpperCAmelCase					:						List[str]="[CLS]"	,  __UpperCAmelCase					:						List[str]="[MASK]"	,  **__UpperCAmelCase					:						Optional[Any]	,  )						->    List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  AddedToken(__UpperCAmelCase	,  lstrip=__UpperCAmelCase	,  rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase	,  __UpperCAmelCase		) else mask_token

         super().__init__(
             __UpperCAmelCase	,  tokenizer_file=__UpperCAmelCase	,  do_lower_case=__UpperCAmelCase	,  remove_space=__UpperCAmelCase	,  keep_accents=__UpperCAmelCase	,  bos_token=__UpperCAmelCase	,  eos_token=__UpperCAmelCase	,  unk_token=__UpperCAmelCase	,  sep_token=__UpperCAmelCase	,  pad_token=__UpperCAmelCase	,  cls_token=__UpperCAmelCase	,  mask_token=__UpperCAmelCase	,  **__UpperCAmelCase	,  )

         UpperCAmelCase__								=  do_lower_case
         UpperCAmelCase__								=  remove_space
         UpperCAmelCase__								=  keep_accents
         UpperCAmelCase__								=  vocab_file
         UpperCAmelCase__								=  False if not self.vocab_file else True


   def       lowercase_				(self					:						Dict	,  __UpperCAmelCase					:						List[int]	,  __UpperCAmelCase					:						Optional[List[int]] = None		)						->    List[int]:
         """simple docstring"""



         UpperCAmelCase__								=  [self.sep_token_id]
         UpperCAmelCase__								=  [self.cls_token_id]
         if token_ids_a is None:
               return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep


   def       lowercase_				(self					:						Dict	,  __UpperCAmelCase					:						List[int]	,  __UpperCAmelCase					:						Optional[List[int]] = None	,  __UpperCAmelCase					:						bool = False		)						->    List[int]:
         """simple docstring"""



         if already_has_special_tokens:
               if token_ids_a is not None:
                     raise ValueError(
                         "You should not supply a second sequence if the provided sequence of "
                         "ids is already formatted with special tokens for the model."		)
               return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is not None:
               return [1] + ([0] * len(__UpperCAmelCase		)) + [1] + ([0] * len(__UpperCAmelCase		)) + [1]
         return [1] + ([0] * len(__UpperCAmelCase		)) + [1]


   def       lowercase_				(self					:						List[str]	,  __UpperCAmelCase					:						List[int]	,  __UpperCAmelCase					:						Optional[List[int]] = None		)						->    List[int]:
         """simple docstring"""



         UpperCAmelCase__								=  [self.sep_token_id]
         UpperCAmelCase__								=  [self.cls_token_id]

         if token_ids_a is None:
               return len(cls + token_ids_a + sep		) * [0]
         return len(cls + token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]





   def       lowercase_				(self					:						Dict	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						Optional[str] = None		)						->    Tuple[str]:
         """simple docstring"""



         if not os.path.isdir(__UpperCAmelCase		):
               logger.error("Vocabulary path ({}) should be a directory".format(__UpperCAmelCase		)		)
               return
         UpperCAmelCase__								=  os.path.join(
             __UpperCAmelCase	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

         if os.path.abspath(self.vocab_file		) != os.path.abspath(__UpperCAmelCase		):
               copyfile(self.vocab_file	,  __UpperCAmelCase		)

         return (out_vocab_file,)




from __future__ import annotations




def        lowerCAmelCase_			(					__A,  __A,  __A,  )					->    tuple:







      '''simple docstring'''


      if (electron_conc, hole_conc, intrinsic_conc).count(0							) != 1:
            raise ValueError("You cannot supply more or less than 2 values"							)
      elif electron_conc < 0:
            raise ValueError("Electron concentration cannot be negative in a semiconductor"							)
      elif hole_conc < 0:
            raise ValueError("Hole concentration cannot be negative in a semiconductor"							)
      elif intrinsic_conc < 0:
            raise ValueError(
                "Intrinsic concentration cannot be negative in a semiconductor"							)
      elif electron_conc == 0:
            return (
                "electron_conc",
                intrinsic_conc**2 / hole_conc,
            )
      elif hole_conc == 0:
            return (
                "hole_conc",
                intrinsic_conc**2 / electron_conc,
            )
      elif intrinsic_conc == 0:
            return (
                "intrinsic_conc",
                (electron_conc * hole_conc) ** 0.5,
            )
      else:
            return (-1, -1)


if __name__ == "__main__":
      import doctest

      doctest.testmod()



