
"""simple docstring"""

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 logging


UpperCamelCase			:       Optional[Any]									=				logging.get_logger(__name__)
UpperCamelCase			:       str									=				{"vocab_file": "spiece.model"}

UpperCamelCase			:       List[str]									=				{
    "vocab_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/spiece.model",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/spiece.model",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/spiece.model",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/spiece.model",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model",
    }
}

UpperCamelCase			:       Optional[Any]									=				{
    "albert-base-v1": 5_1_2,
    "albert-large-v1": 5_1_2,
    "albert-xlarge-v1": 5_1_2,
    "albert-xxlarge-v1": 5_1_2,
    "albert-base-v2": 5_1_2,
    "albert-large-v2": 5_1_2,
    "albert-xlarge-v2": 5_1_2,
    "albert-xxlarge-v2": 5_1_2,
}

UpperCamelCase			:       List[Any]									=				"▁"

class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ):
    lowercase		     =		VOCAB_FILES_NAMES
    lowercase		     =		PRETRAINED_VOCAB_FILES_MAP
    lowercase		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





    def __init__(			self			,  __UpperCAmelCase			,  __UpperCAmelCase=True			,  __UpperCAmelCase=True			,  __UpperCAmelCase=False			,  __UpperCAmelCase="[CLS]"			,  __UpperCAmelCase="[SEP]"			,  __UpperCAmelCase="<unk>"			,  __UpperCAmelCase="[SEP]"			,  __UpperCAmelCase="<pad>"			,  __UpperCAmelCase="[CLS]"			,  __UpperCAmelCase="[MASK]"			,  __UpperCAmelCase = None			,  **__UpperCAmelCase			,  ):

     '''simple docstring'''




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

     __UpperCamelCase       						= {} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         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			,  sp_model_kwargs=self.sp_model_kwargs			,  **__UpperCAmelCase			,  )

     __UpperCamelCase       						= do_lower_case
     __UpperCamelCase       						= remove_space
     __UpperCamelCase       						= keep_accents
     __UpperCamelCase       						= vocab_file

     __UpperCamelCase       						= spm.SentencePieceProcessor(**self.sp_model_kwargs   )
     self.sp_model.Load(__UpperCAmelCase   )





    @property
    def 		UpperCAmelCase      (			self   ):

     '''simple docstring'''




     return len(self.sp_model   )





    def 		UpperCAmelCase      (			self   ):

     '''simple docstring'''




     __UpperCamelCase       						= {self.convert_ids_to_tokens(__UpperCAmelCase   ): i for i in range(self.vocab_size   )}
     vocab.update(self.added_tokens_encoder   )
     return vocab





    def __getstate__(			self   ):

     '''simple docstring'''




     __UpperCamelCase       						= self.__dict__.copy()
     __UpperCamelCase       						= None
     return state





    def __setstate__(			self			,  __UpperCAmelCase   ):

     '''simple docstring'''




     __UpperCamelCase       						= d

     # for backward compatibility
     if not hasattr(self			,  'sp_model_kwargs'   ):
      __UpperCamelCase       						= {}

     __UpperCamelCase       						= spm.SentencePieceProcessor(**self.sp_model_kwargs   )
     self.sp_model.Load(self.vocab_file   )





    def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

     '''simple docstring'''




     if self.remove_space:
      __UpperCamelCase       						= ' '.join(inputs.strip().split()   )
     else:
      __UpperCamelCase       						= inputs
     __UpperCamelCase       						= outputs.replace('``'			,  '"'   ).replace('\'\''			,  '"'   )

     if not self.keep_accents:
      __UpperCamelCase       						= unicodedata.normalize('NFKD'			,  __UpperCAmelCase   )
      __UpperCamelCase       						= ''.join([c for c in outputs if not unicodedata.combining(__UpperCAmelCase   )]   )
     if self.do_lower_case:
      __UpperCamelCase       						= outputs.lower()

     return outputs





    def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

     '''simple docstring'''




     __UpperCamelCase       						= self.preprocess_text(__UpperCAmelCase   )
     __UpperCamelCase       						= self.sp_model.encode(__UpperCAmelCase			,  out_type=__UpperCAmelCase   )
     __UpperCamelCase       						= []
     for piece in pieces:
      if len(__UpperCAmelCase   ) > 1 and piece[-1] == str(','   ) and piece[-2].isdigit():
       __UpperCamelCase       						= self.sp_model.EncodeAsPieces(piece[:-1].replace(__UpperCAmelCase			,  ''   )   )
       if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
        if len(cur_pieces[0]   ) == 1:
         __UpperCamelCase       						= cur_pieces[1:]
        else:
         __UpperCamelCase       						= cur_pieces[0][1:]
       cur_pieces.append(piece[-1]   )
       new_pieces.extend(__UpperCAmelCase   )
      else:
       new_pieces.append(__UpperCAmelCase   )

     return new_pieces





    def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

     '''simple docstring'''




     return self.sp_model.PieceToId(__UpperCAmelCase   )





    def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

     '''simple docstring'''




     return self.sp_model.IdToPiece(__UpperCAmelCase   )





    def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

     '''simple docstring'''




     __UpperCamelCase       						= []
     __UpperCamelCase       						= ''
     __UpperCamelCase       						= False
     for token in tokens:
      # make sure that special tokens are not decoded using sentencepiece model
      if token in self.all_special_tokens:
       if not prev_is_special:
        out_string += " "
       out_string += self.sp_model.decode(__UpperCAmelCase   ) + token
       __UpperCamelCase       						= True
       __UpperCamelCase       						= []
      else:
       current_sub_tokens.append(__UpperCAmelCase   )
       __UpperCamelCase       						= False
     out_string += self.sp_model.decode(__UpperCAmelCase   )
     return out_string.strip()





    def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

     '''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 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None			,  __UpperCAmelCase = False   ):

     '''simple docstring'''




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

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





    def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

     '''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 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

     '''simple docstring'''




     if not os.path.isdir(__UpperCAmelCase   ):
      logger.error(F'Vocabulary path ({save_directory}) should be a directory'   )
      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   ) and os.path.isfile(self.vocab_file   ):
      copyfile(self.vocab_file			,  __UpperCAmelCase   )
     elif not os.path.isfile(self.vocab_file   ):
      with open(__UpperCAmelCase			,  'wb'   ) as fi:
       __UpperCamelCase       						= self.sp_model.serialized_model_proto()
       fi.write(__UpperCAmelCase   )

     return (out_vocab_file,)





"""simple docstring"""

import argparse
from collections import defaultdict






def 							A		(       snake_case   :Tuple       ,      snake_case   :List[Any]       ,      snake_case   :List[Any]       ,      snake_case   :Union[str, Any]       ,      snake_case   :Optional[Any]	)   ->			Union[str, Any]:
 __UpperCamelCase       						= f'{file}_{class_name}_{test_name}'
 done_test[_id] += 1

 with open(snake_case       ,      'r'	) as f:
  __UpperCamelCase       						= f.readlines()

 __UpperCamelCase       						= f'class {class_name}('
 __UpperCamelCase       						= f'{4 * " "}def {test_name}('
 __UpperCamelCase       						= f'{8 * " "}{correct_line.split()[0]}'
 __UpperCamelCase       						= f'{1_6 * " "}{correct_line.split()[0]}'
 __UpperCamelCase       						= False
 __UpperCamelCase       						= False
 __UpperCamelCase       						= False
 __UpperCamelCase       						= False
 __UpperCamelCase       						= 0
 __UpperCamelCase       						= 0

 __UpperCamelCase       						= []
 for line in lines:
  if line.startswith(snake_case	):
   __UpperCamelCase       						= True
  elif in_class and line.startswith(snake_case	):
   __UpperCamelCase       						= True
  elif in_class and in_func and (line.startswith(snake_case	) or line.startswith(snake_case	)):
   __UpperCamelCase       						= len(line.split(correct_line.split()[0]	)[0]	)
   count += 1

   if count == done_test[_id]:
    __UpperCamelCase       						= True

  if in_class and in_func and in_line:
   if ")" not in line:
    continue
   else:
    __UpperCamelCase       						= True

  if in_class and in_func and in_line and insert_line:
   new_lines.append(f'{spaces * " "}{correct_line}'	)
   __UpperCamelCase       						= __UpperCamelCase       						= __UpperCamelCase       						= __UpperCamelCase       						= False
  else:
   new_lines.append(snake_case	)

 with open(snake_case       ,      'w'	) as f:
  for line in new_lines:
   f.write(snake_case	)






def 							A		(       snake_case   :List[str]       ,      snake_case   :str=None	)   ->			Tuple:
 if fail is not None:
  with open(snake_case       ,      'r'	) as f:
   __UpperCamelCase       						= {l.strip() for l in f.readlines()}
 else:
  __UpperCamelCase       						= None

 with open(snake_case       ,      'r'	) as f:
  __UpperCamelCase       						= f.readlines()

 __UpperCamelCase       						= defaultdict(snake_case	)
 for line in correct_lines:
  __UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase       						= line.split(';'	)
  if test_failures is None or "::".join([file, class_name, test_name]	) in test_failures:
   overwrite_file(snake_case       ,      snake_case       ,      snake_case       ,      snake_case       ,      snake_case	)


if __name__ == "__main__":
      UpperCamelCase			:       str									=				argparse.ArgumentParser()
      parser.add_argument("--correct_filename", help="filename of tests with expected result")
      parser.add_argument("--fail_filename", help="filename of test failures", type=str, default=None)
      UpperCamelCase			:       List[Any]									=				parser.parse_args()

      main(args.correct_filename, args.fail_filename)



