
"""simple docstring"""




import os
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


A__ :       Union[str, Any]				= logging.get_logger(__name__)

A__ :       List[str]				= '▁'

A__ :       List[str]				= {'vocab_file': 'sentencepiece.bpe.model'}

A__ :       Tuple				= {
    'vocab_file': {
        'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large-finetuned-conll02-dutch': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll02-spanish': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-english': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-german': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'
        ),
    }
}

A__ :       Tuple				= {
    'xlm-roberta-base': 5_1_2,
    'xlm-roberta-large': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-dutch': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-spanish': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-english': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-german': 5_1_2,
}


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       UpperCamelCase_ =		VOCAB_FILES_NAMES
       UpperCamelCase_ =		PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase_ =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase_ =		['''input_ids''', '''attention_mask''']
       def __init__(  self			,					A_			,					A_="<s>"			,					A_="</s>"			,					A_="</s>"			,					A_="<s>"			,					A_="<unk>"			,					A_="<pad>"			,					A_="<mask>"			,					A_ = None			,					**A_			,					)  ->						None:





         """simple docstring"""




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

         _lowercase:      List[Any]   			=  {} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=A_			,					eos_token=A_			,					unk_token=A_			,					sep_token=A_			,					cls_token=A_			,					pad_token=A_			,					mask_token=A_			,					sp_model_kwargs=self.sp_model_kwargs			,					**A_			,					)

         _lowercase:      Union[str, Any]   			=  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
         self.sp_model.Load(str(A_							)							)
         _lowercase:      List[Any]   			=  vocab_file

         # Original fairseq vocab and spm vocab must be "aligned":
         # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
         # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
         # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
         # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

         # Mimic fairseq token-to-id alignment for the first 4 token
         _lowercase:      Dict   			=  {'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

         # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
         _lowercase:      List[str]   			=  1

         _lowercase:      str   			=  len(self.sp_model							) + self.fairseq_offset
         _lowercase:      Union[str, Any]   			=  {v: k for k, v in self.fairseq_tokens_to_ids.items()}
       def __getstate__(  self							)  ->						Optional[int]:





         """simple docstring"""




         _lowercase:      int   			=  self.__dict__.copy()
         _lowercase:      List[str]   			=  None
         _lowercase:      Optional[int]   			=  self.sp_model.serialized_model_proto()
         return state
       def __setstate__(  self			,					A_							)  ->						Union[str, Any]:





         """simple docstring"""




         _lowercase:      List[str]   			=  d

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

         _lowercase:      str   			=  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
         self.sp_model.LoadFromSerializedProto(self.sp_model_proto							)
       def 				lowercase_				(  self			,					A_			,					A_ = None							)  ->						List[int]:





         """simple docstring"""




         if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         _lowercase:      Any   			=  [self.cls_token_id]
         _lowercase:      Optional[int]   			=  [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep
       def 				lowercase_				(  self			,					A_			,					A_ = None			,					A_ = 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_							)

         if token_ids_a is None:
           return [1] + ([0] * len(A_							)) + [1]
         return [1] + ([0] * len(A_							)) + [1, 1] + ([0] * len(A_							)) + [1]
       def 				lowercase_				(  self			,					A_			,					A_ = None							)  ->						List[int]:





         """simple docstring"""




         _lowercase:      Union[str, Any]   			=  [self.sep_token_id]
         _lowercase:      str   			=  [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 + sep + token_ids_a + sep							) * [0]
       @property
       def 				lowercase_				(  self							)  ->						List[Any]:





         """simple docstring"""




         return len(self.sp_model							) + self.fairseq_offset + 1  # Add the <mask> token
       def 				lowercase_				(  self							)  ->						Any:





         """simple docstring"""




         _lowercase:      Optional[Any]   			=  {self.convert_ids_to_tokens(A_							): i for i in range(self.vocab_size							)}
         vocab.update(self.added_tokens_encoder							)
         return vocab
       def 				lowercase_				(  self			,					A_							)  ->						List[str]:





         """simple docstring"""




         return self.sp_model.encode(A_			,					out_type=A_							)
       def 				lowercase_				(  self			,					A_							)  ->						List[Any]:





         """simple docstring"""




         if token in self.fairseq_tokens_to_ids:
           return self.fairseq_tokens_to_ids[token]
         _lowercase:      Union[str, Any]   			=  self.sp_model.PieceToId(A_							)

         # Need to return unknown token if the SP model returned 0
         return spm_id + self.fairseq_offset if spm_id else self.unk_token_id
       def 				lowercase_				(  self			,					A_							)  ->						Dict:





         """simple docstring"""




         if index in self.fairseq_ids_to_tokens:
           return self.fairseq_ids_to_tokens[index]
         return self.sp_model.IdToPiece(index - self.fairseq_offset							)
       def 				lowercase_				(  self			,					A_							)  ->						int:





         """simple docstring"""




         _lowercase:      List[Any]   			=  ''''''.join(A_							).replace(A_			,					''' '''							).strip()
         return out_string



       def 				lowercase_				(  self			,					A_			,					A_ = None							)  ->						Tuple[str]:





         """simple docstring"""




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

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

         return (out_vocab_file,)


"""simple docstring"""




import math
import sys




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _lowercase:      Any   			=  ''''''
  try:
    with open(_UpperCamelCase			,					'''rb'''    ) as binary_file:
      _lowercase:      Dict   			=  binary_file.read()
    for dat in data:
      _lowercase:      List[str]   			=  f'''{dat:08b}'''
      result += curr_byte
    return result
  except OSError:
    print('''File not accessible'''    )
    sys.exit()




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _lowercase:      Any   			=  {'''0''': '''0''', '''1''': '''1'''}
  _lowercase			,					_lowercase:      Optional[int]   			=  '''''', ''''''
  _lowercase:      Dict   			=  len(_UpperCamelCase    )

  for i in range(len(_UpperCamelCase    )    ):
    curr_string += data_bits[i]
    if curr_string not in lexicon:
      continue

    _lowercase:      Any   			=  lexicon[curr_string]
    result += last_match_id
    _lowercase:      Optional[int]   			=  last_match_id + '''0'''

    if math.loga(_UpperCamelCase    ).is_integer():
      _lowercase:      str   			=  {}
      for curr_key in list(_UpperCamelCase    ):
        _lowercase:      List[Any]   			=  lexicon.pop(_UpperCamelCase    )
      _lowercase:      Tuple   			=  new_lex

    _lowercase:      List[Any]   			=  last_match_id + '''1'''
    index += 1
    _lowercase:      List[Any]   			=  ''''''
  return result




def 			_lowerCAmelCase		(		_UpperCamelCase			,					_UpperCamelCase    ):






  """simple docstring"""



  _lowercase:      Optional[Any]   			=  8
  try:
    with open(_UpperCamelCase			,					'''wb'''    ) as opened_file:
      _lowercase:      List[Any]   			=  [
          to_write[i : i + byte_length]
          for i in range(0			,					len(_UpperCamelCase    )			,					_UpperCamelCase    )
      ]

      if len(result_byte_array[-1]    ) % byte_length == 0:
        result_byte_array.append('''10000000'''    )
      else:
        result_byte_array[-1] += "1" + "0" * (
            byte_length - len(result_byte_array[-1]    ) - 1
        )

      for elem in result_byte_array[:-1]:
        opened_file.write(int(_UpperCamelCase			,					2    ).to_bytes(1			,					byteorder='''big'''    )    )
  except OSError:
    print('''File not accessible'''    )
    sys.exit()




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _lowercase:      Any   			=  0
  for letter in data_bits:
    if letter == "1":
      break
    counter += 1

  _lowercase:      List[str]   			=  data_bits[counter:]
  _lowercase:      Union[str, Any]   			=  data_bits[counter + 1 :]
  return data_bits




def 			_lowerCAmelCase		(		_UpperCamelCase			,					_UpperCamelCase    ):






  """simple docstring"""



  _lowercase:      Tuple   			=  read_file_binary(_UpperCamelCase    )
  _lowercase:      Optional[Any]   			=  remove_prefix(_UpperCamelCase    )
  _lowercase:      Dict   			=  decompress_data(_UpperCamelCase    )
  write_file_binary(_UpperCamelCase			,					_UpperCamelCase    )


if __name__ == "__main__":
  compress(sys.argv[1], sys.argv[2])
