




'''simple docstring'''



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_fnet import FNetTokenizer
else:
    lowerCamelCase_			=						None

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

lowerCamelCase_			=						{
    'vocab_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/spiece.model',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json',
    },
}

lowerCamelCase_			=						{
    'google/fnet-base': 5_12,
    'google/fnet-large': 5_12,
}

lowerCamelCase_			=						'▁'







class 		lowercase_   (			A       ):


   """simple docstring"""

   lowerCamelCase_      =						VOCAB_FILES_NAMES
   lowerCamelCase_      =						PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase_      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase_      =						['''input_ids''', '''token_type_ids''']
   lowerCamelCase_      =						FNetTokenizer



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

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				(
          AddedToken(__UpperCAmelCase  ,				lstrip=__UpperCAmelCase  ,				rstrip=__UpperCAmelCase  ,				normalized=__UpperCAmelCase   )
          if isinstance(__UpperCAmelCase  ,				__UpperCAmelCase   )
          else mask_token
      )

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

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



   def 							lowerCAmelCase_      (   self :     List[str]  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.sep_token_id]
      _SCREAMING_SNAKE_CASE	=				[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 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.sep_token_id]
      _SCREAMING_SNAKE_CASE	=				[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 							lowerCAmelCase_      (   self :     Optional[int]  ,				__lowerCamelCase :     str  ,				__lowerCamelCase :     Optional[str] = None   ):

      """simple docstring"""


      if not os.path.isdir(__UpperCAmelCase   ):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
         return
      _SCREAMING_SNAKE_CASE	=				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,)







'''simple docstring'''



from __future__ import annotations
def 			SCREAMING_SNAKE_CASE_			(							__A    :			float	,					__A    :			float	,					__A    :			float	,					)			->			tuple:
   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()

