import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


UpperCAmelCase_			    =							logging.get_logger(__name__)

UpperCAmelCase_			    =							{'''vocab_file''': '''spiece.model'''}

UpperCAmelCase_			    =							{
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

UpperCAmelCase_			    =							{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
UpperCAmelCase_			    =							0
UpperCAmelCase_			    =							1
UpperCAmelCase_			    =							2
UpperCAmelCase_			    =							3
UpperCAmelCase_			    =							4




class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    str  			=   VOCAB_FILES_NAMES
   lowerCAmelCase      :    Any  			=   PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase      :    List[str]  			=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase      :    str  			=   '''left'''



   def __init__(	self					:  Tuple		,  _lowercase					:  Dict		,  _lowercase					:  List[str]=False		,  _lowercase					:  int=True		,  _lowercase					:  Any=False		,  _lowercase					:  Tuple="<s>"		,  _lowercase					:  str="</s>"		,  _lowercase					:  Optional[Any]="<unk>"		,  _lowercase					:  int="<sep>"		,  _lowercase					:  List[str]="<pad>"		,  _lowercase					:  Any="<cls>"		,  _lowercase					:  Any="<mask>"		,  _lowercase					:  str=["<eop>", "<eod>"]		,  _lowercase					:  Optional[Dict[str, Any]] = None		,  **_lowercase					:  List[Any]		,  ):



    """simple docstring"""



    _UpperCamelCase:     List[Any]							= AddedToken(_lowercase		,  lstrip=_lowercase		,  rstrip=_lowercase							) if isinstance(_lowercase		,  _lowercase							) else mask_token

    _UpperCamelCase:     Tuple							= {} if sp_model_kwargs is None else sp_model_kwargs

    super().__init__(
        do_lower_case=_lowercase		,  remove_space=_lowercase		,  keep_accents=_lowercase		,  bos_token=_lowercase		,  eos_token=_lowercase		,  unk_token=_lowercase		,  sep_token=_lowercase		,  pad_token=_lowercase		,  cls_token=_lowercase		,  mask_token=_lowercase		,  additional_special_tokens=_lowercase		,  sp_model_kwargs=self.sp_model_kwargs		,  **_lowercase		,  )

    _UpperCamelCase:     Any							= 3

    _UpperCamelCase:     int							= do_lower_case
    _UpperCamelCase:     List[Any]							= remove_space
    _UpperCamelCase:     Any							= keep_accents
    _UpperCamelCase:     Any							= vocab_file

    _UpperCamelCase:     Optional[int]							= spm.SentencePieceProcessor(**self.sp_model_kwargs							)
    self.sp_model.Load(_lowercase							)



   @property
   def   lowerCAmelCase						(	self					:  Tuple							):



    """simple docstring"""



    return len(self.sp_model							)



   def   lowerCAmelCase						(	self					:  str							):



    """simple docstring"""



    _UpperCamelCase:     Optional[int]							= {self.convert_ids_to_tokens(_lowercase							): i for i in range(self.vocab_size							)}
    vocab.update(self.added_tokens_encoder							)
    return vocab



   def __getstate__(	self					:  int							):



    """simple docstring"""



    _UpperCamelCase:     Optional[int]							= self.__dict__.copy()
    _UpperCamelCase:     Tuple							= None
    return state



   def __setstate__(	self					:  Dict		,  _lowercase					:  Union[str, Any]							):



    """simple docstring"""



    _UpperCamelCase:     Tuple							= d

    # for backward compatibility
    if not hasattr(self		,  '''sp_model_kwargs'''							):
     _UpperCamelCase:     Optional[Any]							= {}

    _UpperCamelCase:     int							= spm.SentencePieceProcessor(**self.sp_model_kwargs							)
    self.sp_model.Load(self.vocab_file							)



   def   lowerCAmelCase						(	self					:  List[str]		,  _lowercase					:  Union[str, Any]							):



    """simple docstring"""



    if self.remove_space:
     _UpperCamelCase:     Optional[int]							= ''' '''.join(inputs.strip().split()							)
    else:
     _UpperCamelCase:     Union[str, Any]							= inputs
    _UpperCamelCase:     Optional[Any]							= outputs.replace('''``'''		,  '''"'''							).replace('''\'\''''		,  '''"'''							)

    if not self.keep_accents:
     _UpperCamelCase:     List[str]							= unicodedata.normalize('''NFKD'''		,  _lowercase							)
     _UpperCamelCase:     str							= ''''''.join([c for c in outputs if not unicodedata.combining(_lowercase							)]							)
    if self.do_lower_case:
     _UpperCamelCase:     List[Any]							= outputs.lower()

    return outputs



   def   lowerCAmelCase						(	self					:  str		,  _lowercase					:  str							):



    """simple docstring"""



    _UpperCamelCase:     Optional[Any]							= self.preprocess_text(_lowercase							)
    _UpperCamelCase:     Dict							= self.sp_model.encode(_lowercase		,  out_type=_lowercase							)
    _UpperCamelCase:     List[Any]							= []
    for piece in pieces:
     if len(_lowercase							) > 1 and piece[-1] == str(''','''							) and piece[-2].isdigit():
      _UpperCamelCase:     Union[str, Any]							= self.sp_model.EncodeAsPieces(piece[:-1].replace(_lowercase		,  ''''''							)							)
      if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
       if len(cur_pieces[0]							) == 1:
        _UpperCamelCase:     List[Any]							= cur_pieces[1:]
       else:
        _UpperCamelCase:     Optional[int]							= cur_pieces[0][1:]
      cur_pieces.append(piece[-1]							)
      new_pieces.extend(_lowercase							)
     else:
      new_pieces.append(_lowercase							)

    return new_pieces



   def   lowerCAmelCase						(	self					:  str		,  _lowercase					:  Tuple							):



    """simple docstring"""



    return self.sp_model.PieceToId(_lowercase							)



   def   lowerCAmelCase						(	self					:  int		,  _lowercase					:  Optional[int]							):



    """simple docstring"""



    return self.sp_model.IdToPiece(_lowercase							)



   def   lowerCAmelCase						(	self					:  int		,  _lowercase					:  int							):



    """simple docstring"""



    _UpperCamelCase:     Tuple							= ''''''.join(_lowercase							).replace(_lowercase		,  ''' '''							).strip()
    return out_string



   def   lowerCAmelCase						(	self					:  Optional[int]		,  _lowercase					:  List[int]		,  _lowercase					:  bool = False		,  _lowercase					:  bool = None		,  _lowercase					:  bool = True		,  **_lowercase					:  Tuple		,  ):



    """simple docstring"""



    _UpperCamelCase:     List[Any]							= kwargs.pop('''use_source_tokenizer'''		,  _lowercase							)

    _UpperCamelCase:     List[str]							= self.convert_ids_to_tokens(_lowercase		,  skip_special_tokens=_lowercase							)

    # To avoid mixing byte-level and unicode for byte-level BPT
    # we need to build string separately for added tokens and byte-level tokens
    # cf. https://github.com/huggingface/transformers/issues/1133
    _UpperCamelCase:     List[str]							= []
    _UpperCamelCase:     str							= []
    for token in filtered_tokens:
     if skip_special_tokens and token in self.all_special_ids:
      continue
     if token in self.added_tokens_encoder:
      if current_sub_text:
       sub_texts.append(self.convert_tokens_to_string(_lowercase							)							)
       _UpperCamelCase:     int							= []
      sub_texts.append(_lowercase							)
     else:
      current_sub_text.append(_lowercase							)
    if current_sub_text:
     sub_texts.append(self.convert_tokens_to_string(_lowercase							)							)

    # Mimic the behavior of the Rust tokenizer:
    # By default, there are no spaces between special tokens
    _UpperCamelCase:     str							= ''''''.join(_lowercase							)

    _UpperCamelCase:     int							= (
        clean_up_tokenization_spaces
        if clean_up_tokenization_spaces is not None
        else self.clean_up_tokenization_spaces
    )
    if clean_up_tokenization_spaces:
     _UpperCamelCase:     Optional[int]							= self.clean_up_tokenization(_lowercase							)
     return clean_text
    else:
     return text



   def   lowerCAmelCase						(	self					:  Tuple		,  _lowercase					:  List[int]		,  _lowercase					:  Optional[List[int]] = None							):



    """simple docstring"""



    _UpperCamelCase:     Optional[int]							= [self.sep_token_id]
    _UpperCamelCase:     str							= [self.cls_token_id]
    if token_ids_a is None:
     return token_ids_a + sep + cls
    return token_ids_a + sep + token_ids_a + sep + cls



   def   lowerCAmelCase						(	self					:  int		,  _lowercase					:  List[int]		,  _lowercase					:  Optional[List[int]] = None		,  _lowercase					:  bool = False							):



    """simple docstring"""



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

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



   def   lowerCAmelCase						(	self					:  Tuple		,  _lowercase					:  List[int]		,  _lowercase					:  Optional[List[int]] = None							):



    """simple docstring"""



    _UpperCamelCase:     Tuple							= [self.sep_token_id]
    _UpperCamelCase:     Any							= [2]

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



   def   lowerCAmelCase						(	self					:  Any		,  _lowercase					:  str		,  _lowercase					:  Optional[str] = None							):



    """simple docstring"""



    if not os.path.isdir(_lowercase							):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
     return
    _UpperCamelCase:     int							= os.path.join(
        _lowercase		,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

    if os.path.abspath(self.vocab_file							) != os.path.abspath(_lowercase							) and os.path.isfile(self.vocab_file							):
     copyfile(self.vocab_file		,  _lowercase							)
    elif not os.path.isfile(self.vocab_file							):
     with open(_lowercase		,  '''wb'''							) as fi:
      _UpperCamelCase:     int							= self.sp_model.serialized_model_proto()
      fi.write(_lowercase							)

    return (out_vocab_file,)
from __future__ import annotations

UpperCAmelCase_			    =							1.6_0_2_1E-1_9  # units = C




def       lowerCAmelCase_     (		lowercase:							float  ,					lowercase:							float  ,					lowercase:							float  ,					)    ->				tuple[str, float]:







 '''simple docstring'''
 if (conductivity, electron_conc, mobility).count(0		) != 1:
  raise ValueError('''You cannot supply more or less than 2 values'''		)
 elif conductivity < 0:
  raise ValueError('''Conductivity cannot be negative'''		)
 elif electron_conc < 0:
  raise ValueError('''Electron concentration cannot be negative'''		)
 elif mobility < 0:
  raise ValueError('''mobility cannot be negative'''		)
 elif conductivity == 0:
  return (
      "conductivity",
      mobility * electron_conc * ELECTRON_CHARGE,
  )
 elif electron_conc == 0:
  return (
      "electron_conc",
      conductivity / (mobility * ELECTRON_CHARGE),
  )
 else:
  return (
      "mobility",
      conductivity / (electron_conc * ELECTRON_CHARGE),
  )


if __name__ == "__main__":
  import doctest

  doctest.testmod()