code: 
  '''simple docstring'''
  
  import json
  import os
  import re
  import unicodedata
  from typing import Dict, List, Optional, Tuple
  
  from ...tokenization_utils import PreTrainedTokenizer
  from ...utils import logging
  
  
  UpperCamelCase_     			=       logging.get_logger(__name__)
  
  UpperCamelCase_     			=       {
      """src_vocab_file""": """vocab-src.json""",
      """tgt_vocab_file""": """vocab-tgt.json""",
      """merges_file""": """merges.txt""",
  }
  
  UpperCamelCase_     			=       {
      """src_vocab_file""": {
          """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"""
      },
      """tgt_vocab_file""": {
          """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"""
      },
      """merges_file""": {"""stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"""},
  }
  
  UpperCamelCase_     			=       {"""stas/tiny-wmt19-en-de""": 10_24}
  UpperCamelCase_     			=       {
      """stas/tiny-wmt19-en-de""": {
          """langs""": ["""en""", """de"""],
          """model_max_length""": 10_24,
          """special_tokens_map_file""": None,
          """full_tokenizer_file""": None,
      }
  }
  
  
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       str		)    ->						Optional[int]:
    _lowerCAmelCase       :  Optional[Any]   				=					set()
    _lowerCAmelCase       :  int   				=					word[0]
    for char in word[1:]:
      pairs.add((prev_char, char)		)
      _lowerCAmelCase       :  Dict   				=					char
    return pairs
  
  
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       Any		)    ->						Optional[Any]:
    _lowerCAmelCase       :  Optional[int]   				=					text.replace("""，"""  ,      ""","""		)
    _lowerCAmelCase       :  int   				=					re.sub(R"""。\s*"""  ,      """. """  ,      _lowerCamelCase		)
    _lowerCAmelCase       :  int   				=					text.replace("""、"""  ,      ""","""		)
    _lowerCAmelCase       :  List[Any]   				=					text.replace("""”"""  ,      """\""""		)
    _lowerCAmelCase       :  Tuple   				=					text.replace("""“"""  ,      """\""""		)
    _lowerCAmelCase       :  Dict   				=					text.replace("""∶"""  ,      """:"""		)
    _lowerCAmelCase       :  str   				=					text.replace("""："""  ,      """:"""		)
    _lowerCAmelCase       :  Dict   				=					text.replace("""？"""  ,      """?"""		)
    _lowerCAmelCase       :  List[str]   				=					text.replace("""《"""  ,      """\""""		)
    _lowerCAmelCase       :  List[str]   				=					text.replace("""》"""  ,      """\""""		)
    _lowerCAmelCase       :  List[str]   				=					text.replace("""）"""  ,      """)"""		)
    _lowerCAmelCase       :  str   				=					text.replace("""！"""  ,      """!"""		)
    _lowerCAmelCase       :  Optional[Any]   				=					text.replace("""（"""  ,      """("""		)
    _lowerCAmelCase       :  Tuple   				=					text.replace("""；"""  ,      """;"""		)
    _lowerCAmelCase       :  Tuple   				=					text.replace("""１"""  ,      """1"""		)
    _lowerCAmelCase       :  Any   				=					text.replace("""」"""  ,      """\""""		)
    _lowerCAmelCase       :  str   				=					text.replace("""「"""  ,      """\""""		)
    _lowerCAmelCase       :  List[Any]   				=					text.replace("""０"""  ,      """0"""		)
    _lowerCAmelCase       :  Tuple   				=					text.replace("""３"""  ,      """3"""		)
    _lowerCAmelCase       :  Optional[Any]   				=					text.replace("""２"""  ,      """2"""		)
    _lowerCAmelCase       :  List[Any]   				=					text.replace("""５"""  ,      """5"""		)
    _lowerCAmelCase       :  int   				=					text.replace("""６"""  ,      """6"""		)
    _lowerCAmelCase       :  List[str]   				=					text.replace("""９"""  ,      """9"""		)
    _lowerCAmelCase       :  Optional[int]   				=					text.replace("""７"""  ,      """7"""		)
    _lowerCAmelCase       :  Dict   				=					text.replace("""８"""  ,      """8"""		)
    _lowerCAmelCase       :  Optional[int]   				=					text.replace("""４"""  ,      """4"""		)
    _lowerCAmelCase       :  List[Any]   				=					re.sub(R"""．\s*"""  ,      """. """  ,      _lowerCamelCase		)
    _lowerCAmelCase       :  List[Any]   				=					text.replace("""～"""  ,      """~"""		)
    _lowerCAmelCase       :  Union[str, Any]   				=					text.replace("""’"""  ,      """'"""		)
    _lowerCAmelCase       :  Any   				=					text.replace("""…"""  ,      """..."""		)
    _lowerCAmelCase       :  Tuple   				=					text.replace("""━"""  ,      """-"""		)
    _lowerCAmelCase       :  Dict   				=					text.replace("""〈"""  ,      """<"""		)
    _lowerCAmelCase       :  Any   				=					text.replace("""〉"""  ,      """>"""		)
    _lowerCAmelCase       :  List[str]   				=					text.replace("""【"""  ,      """["""		)
    _lowerCAmelCase       :  List[str]   				=					text.replace("""】"""  ,      """]"""		)
    _lowerCAmelCase       :  List[Any]   				=					text.replace("""％"""  ,      """%"""		)
    return text
  
  
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       Union[str, Any]		)    ->						List[str]:
    _lowerCAmelCase       :  int   				=					[]
    for char in text:
      _lowerCAmelCase       :  Union[str, Any]   				=					unicodedata.category(_lowerCamelCase		)
      if cat.startswith("""C"""		):
        continue
      output.append(_lowerCamelCase		)
    return "".join(_lowerCamelCase		)
  
  
  
  class   a_  (_a    ):
         __lowerCAmelCase    :				Tuple    =      VOCAB_FILES_NAMES
         __lowerCAmelCase    :				Optional[Any]    =      PRETRAINED_VOCAB_FILES_MAP
         __lowerCAmelCase    :				List[str]    =      PRETRAINED_INIT_CONFIGURATION
         __lowerCAmelCase    :				int    =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
         __lowerCAmelCase    :				Any    =      ["""input_ids""", """attention_mask"""]
  
  
  
  
         def __init__(     self   ,   snake_case_=None   ,   snake_case_=None   ,   snake_case_=None   ,   snake_case_=None   ,   snake_case_=False   ,   snake_case_="<unk>"   ,   snake_case_="<s>"   ,   snake_case_="</s>"   ,   snake_case_="<pad>"   ,   **snake_case_   ,   ):
           super().__init__(
               langs=snake_case_   ,   src_vocab_file=snake_case_   ,   tgt_vocab_file=snake_case_   ,   merges_file=snake_case_   ,   do_lower_case=snake_case_   ,   unk_token=snake_case_   ,   bos_token=snake_case_   ,   sep_token=snake_case_   ,   pad_token=snake_case_   ,   **snake_case_   ,   )
  
           try:
             import sacremoses
           except ImportError:
             raise ImportError(
                 """You need to install sacremoses to use XLMTokenizer. """
                 """See https://pypi.org/project/sacremoses/ for installation."""  )
  
           _lowerCAmelCase       :  Any   				=					sacremoses
  
           _lowerCAmelCase       :  Optional[int]   				=					src_vocab_file
           _lowerCAmelCase       :  Dict   				=					tgt_vocab_file
           _lowerCAmelCase       :  Union[str, Any]   				=					merges_file
           _lowerCAmelCase       :  str   				=					do_lower_case
  
           # cache of sm.MosesPunctNormalizer instance
           _lowerCAmelCase       :  int   				=					{}
           # cache of sm.MosesTokenizer instance
           _lowerCAmelCase       :  Union[str, Any]   				=					{}
           _lowerCAmelCase       :  Union[str, Any]   				=					{}
  
           if langs and len(snake_case_  ) == 2:
             _lowerCAmelCase				,					_lowerCAmelCase       :  List[str]   				=					langs
           else:
             raise ValueError(
                 f'arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '
                 """Usually that means that tokenizer can't find a mapping for the given model path """
                 """in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."""  )
  
           with open(snake_case_   ,   encoding="""utf-8"""  ) as src_vocab_handle:
             _lowerCAmelCase       :  List[Any]   				=					json.load(snake_case_  )
           with open(snake_case_   ,   encoding="""utf-8"""  ) as tgt_vocab_handle:
             _lowerCAmelCase       :  Union[str, Any]   				=					json.load(snake_case_  )
             _lowerCAmelCase       :  Any   				=					{v: k for k, v in tgt_vocab.items()}
           with open(snake_case_   ,   encoding="""utf-8"""  ) as merges_handle:
             _lowerCAmelCase       :  str   				=					merges_handle.read().split("""\n"""  )[:-1]
           _lowerCAmelCase       :  Union[str, Any]   				=					[tuple(merge.split()[:2]  ) for merge in merges]
           _lowerCAmelCase       :  str   				=					dict(zip(snake_case_   ,   range(len(snake_case_  )  )  )  )
           _lowerCAmelCase       :  Tuple   				=					{}
  
  
  
  
         def 							__UpperCamelCase       (     self  ):
           return self.get_src_vocab()
  
  
  
  
         @property
         def 							__UpperCamelCase       (     self  ):
           return self.src_vocab_size
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_  ):
           if lang not in self.cache_moses_punct_normalizer:
             _lowerCAmelCase       :  Optional[Any]   				=					self.sm.MosesPunctNormalizer(lang=snake_case_  )
             _lowerCAmelCase       :  Tuple   				=					punct_normalizer
           return self.cache_moses_punct_normalizer[lang].normalize(snake_case_  )
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_  ):
           if lang not in self.cache_moses_tokenizer:
             _lowerCAmelCase       :  List[str]   				=					self.sm.MosesTokenizer(lang=snake_case_  )
             _lowerCAmelCase       :  Tuple   				=					moses_tokenizer
           return self.cache_moses_tokenizer[lang].tokenize(
               snake_case_   ,   aggressive_dash_splits=snake_case_   ,   return_str=snake_case_   ,   escape=snake_case_  )
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_  ):
           if lang not in self.cache_moses_detokenizer:
             _lowerCAmelCase       :  Optional[Any]   				=					self.sm.MosesDetokenizer(lang=snake_case_  )
             _lowerCAmelCase       :  Union[str, Any]   				=					moses_detokenizer
           return self.cache_moses_detokenizer[lang].detokenize(snake_case_  )
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_  ):
           _lowerCAmelCase       :  int   				=					replace_unicode_punct(snake_case_  )
           _lowerCAmelCase       :  int   				=					self.moses_punct_norm(snake_case_   ,   snake_case_  )
           _lowerCAmelCase       :  Union[str, Any]   				=					remove_non_printing_char(snake_case_  )
           return text
  
  
  
  
         @property
         def 							__UpperCamelCase       (     self  ):
           return len(self.encoder  )
  
  
  
  
         @property
         def 							__UpperCamelCase       (     self  ):
           return len(self.decoder  )
  
  
  
  
         def 							__UpperCamelCase       (     self  ):
           return dict(self.encoder   ,   **self.added_tokens_encoder  )
  
  
  
  
         def 							__UpperCamelCase       (     self  ):
           return dict(self.decoder   ,   **self.added_tokens_decoder  )
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_  ):
           _lowerCAmelCase       :  Tuple   				=					tuple(token[:-1]  ) + (token[-1] + """</w>""",)
           if token in self.cache:
             return self.cache[token]
           _lowerCAmelCase       :  Tuple   				=					get_pairs(snake_case_  )
  
           if not pairs:
             return token + "</w>"
  
           while True:
             _lowerCAmelCase       :  str   				=					min(snake_case_   ,   key=lambda snake_case_  : self.bpe_ranks.get(snake_case_   ,   float("""inf"""  )  )  )
             if bigram not in self.bpe_ranks:
               break
             _lowerCAmelCase				,					_lowerCAmelCase       :  List[str]   				=					bigram
             _lowerCAmelCase       :  Optional[int]   				=					[]
             _lowerCAmelCase       :  List[Any]   				=					0
             while i < len(snake_case_  ):
               try:
                 _lowerCAmelCase       :  Optional[int]   				=					word.index(snake_case_   ,   snake_case_  )
               except ValueError:
                 new_word.extend(word[i:]  )
                 break
               else:
                 new_word.extend(word[i:j]  )
                 _lowerCAmelCase       :  Dict   				=					j
  
               if word[i] == first and i < len(snake_case_  ) - 1 and word[i + 1] == second:
                 new_word.append(first + second  )
                 i += 2
               else:
                 new_word.append(word[i]  )
                 i += 1
             _lowerCAmelCase       :  List[str]   				=					tuple(snake_case_  )
             _lowerCAmelCase       :  Optional[int]   				=					new_word
             if len(snake_case_  ) == 1:
               break
             else:
               _lowerCAmelCase       :  List[Any]   				=					get_pairs(snake_case_  )
           _lowerCAmelCase       :  Union[str, Any]   				=					""" """.join(snake_case_  )
           if word == "\n  </w>":
             _lowerCAmelCase       :  Dict   				=					"""\n</w>"""
           _lowerCAmelCase       :  List[Any]   				=					word
           return word
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_="en"   ,   snake_case_=False  ):
           _lowerCAmelCase       :  Union[str, Any]   				=					self.src_lang
  
           if self.do_lower_case:
             _lowerCAmelCase       :  str   				=					text.lower()
  
           if bypass_tokenizer:
             _lowerCAmelCase       :  Any   				=					text.split()
           else:
             _lowerCAmelCase       :  Dict   				=					self.moses_pipeline(snake_case_   ,   lang=snake_case_  )
             _lowerCAmelCase       :  str   				=					self.moses_tokenize(snake_case_   ,   lang=snake_case_  )
  
           _lowerCAmelCase       :  int   				=					[]
           for token in text:
             if token:
               split_tokens.extend(list(self.bpe(snake_case_  ).split(""" """  )  )  )
  
           return split_tokens
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_  ):
           return self.encoder.get(snake_case_   ,   self.encoder.get(self.unk_token  )  )
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_  ):
           return self.decoder.get(snake_case_   ,   self.unk_token  )
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_  ):
           _lowerCAmelCase       :  Tuple   				=					[t.replace(""" """   ,   """"""  ).replace("""</w>"""   ,   """ """  ) for t in tokens]
           _lowerCAmelCase       :  Optional[Any]   				=					"""""".join(snake_case_  ).split()
           # detokenize
           _lowerCAmelCase       :  Union[str, Any]   				=					self.moses_detokenize(snake_case_   ,   self.tgt_lang  )
           return text
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_ = None  ):
           _lowerCAmelCase       :  str   				=					[self.sep_token_id]
  
           # no bos used in fairseq
           if token_ids_a is None:
             return token_ids_a + sep
           return token_ids_a + sep + token_ids_a + sep
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_ = None   ,   snake_case_ = False  ):
  
           if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=snake_case_   ,   token_ids_a=snake_case_   ,   already_has_special_tokens=snake_case_  )
           # no bos used in fairseq
           if token_ids_a is not None:
             return ([0] * len(snake_case_  )) + [1] + ([0] * len(snake_case_  )) + [1]
           return ([0] * len(snake_case_  )) + [1]
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_ = None  ):
           _lowerCAmelCase       :  List[str]   				=					[self.sep_token_id]
  
           # no bos used in fairseq
           if token_ids_a is None:
             return len(token_ids_a + sep  ) * [0]
           return len(token_ids_a + sep  ) * [0] + len(token_ids_a + sep  ) * [1]
  
  
  
  
         def 							__UpperCamelCase       (     self   ,   snake_case_   ,   snake_case_ = None  ):
           if not os.path.isdir(snake_case_  ):
             logger.error(f'Vocabulary path ({save_directory}) should be a directory'  )
             return
  
           _lowerCAmelCase       :  List[Any]   				=					os.path.join(
               snake_case_   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""src_vocab_file"""]  )
           _lowerCAmelCase       :  List[str]   				=					os.path.join(
               snake_case_   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_vocab_file"""]  )
           _lowerCAmelCase       :  Union[str, Any]   				=					os.path.join(
               snake_case_   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )
  
           with open(snake_case_   ,   """w"""   ,   encoding="""utf-8"""  ) as f:
             f.write(json.dumps(self.encoder   ,   indent=2   ,   sort_keys=snake_case_   ,   ensure_ascii=snake_case_  ) + """\n"""  )
  
           with open(snake_case_   ,   """w"""   ,   encoding="""utf-8"""  ) as f:
             _lowerCAmelCase       :  Optional[Any]   				=					{v: k for k, v in self.decoder.items()}
             f.write(json.dumps(snake_case_   ,   indent=2   ,   sort_keys=snake_case_   ,   ensure_ascii=snake_case_  ) + """\n"""  )
  
           _lowerCAmelCase       :  List[Any]   				=					0
           with open(snake_case_   ,   """w"""   ,   encoding="""utf-8"""  ) as writer:
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()   ,   key=lambda snake_case_  : kv[1]  ):
               if index != token_index:
                 logger.warning(
                     f'Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'
                     """ Please check that the tokenizer is not corrupted!"""  )
                 _lowerCAmelCase       :  Any   				=					token_index
               writer.write(""" """.join(snake_case_  ) + """\n"""  )
               index += 1
  
           return src_vocab_file, tgt_vocab_file, merges_file
  
  
  
  
         def __getstate__(     self  ):
           _lowerCAmelCase       :  List[Any]   				=					self.__dict__.copy()
           _lowerCAmelCase       :  List[Any]   				=					None
           return state
  
  
  
  
  
  
  
         def __setstate__(     self   ,   snake_case_  ):
           _lowerCAmelCase       :  List[Any]   				=					d
  
           try:
             import sacremoses
           except ImportError:
             raise ImportError(
                 """You need to install sacremoses to use XLMTokenizer. """
                 """See https://pypi.org/project/sacremoses/ for installation."""  )
  
           _lowerCAmelCase       :  List[Any]   				=					sacremoses
  
  
  
style_context: 
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  UpperCamelCase_     			=       {
      """configuration_deformable_detr""": ["""DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DeformableDetrConfig"""],
  }
  
  try:
       if not is_vision_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       UpperCamelCase_     			=       ["""DeformableDetrFeatureExtractor"""]
       UpperCamelCase_     			=       ["""DeformableDetrImageProcessor"""]
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       UpperCamelCase_     			=       [
           """DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """DeformableDetrForObjectDetection""",
           """DeformableDetrModel""",
           """DeformableDetrPreTrainedModel""",
       ]
  
  
  if TYPE_CHECKING:
       from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig
  
       try:
            if not is_vision_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
            from .image_processing_deformable_detr import DeformableDetrImageProcessor
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_deformable_detr import (
                DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
                DeformableDetrForObjectDetection,
                DeformableDetrModel,
                DeformableDetrPreTrainedModel,
            )
  
  else:
       import sys
  
       UpperCamelCase_     			=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  