




import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowerCamelCase							=      logging.get_logger(__name__)

_lowerCamelCase							=      {
    '''src_vocab_file''': '''vocab-src.json''',
    '''tgt_vocab_file''': '''vocab-tgt.json''',
    '''merges_file''': '''merges.txt''',
}

_lowerCamelCase							=      {
    '''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'''},
}

_lowerCamelCase							=      {'''stas/tiny-wmt19-en-de''': 1024}
_lowerCamelCase							=      {
    '''stas/tiny-wmt19-en-de''': {
        '''langs''': ['''en''', '''de'''],
        '''model_max_length''': 1024,
        '''special_tokens_map_file''': None,
        '''full_tokenizer_file''': None,
    }
}





def 							lowerCamelCase    (							UpperCAmelCase_	:      Optional[int]      )->			List[Any]:

       """simple docstring"""




       a			   =set()
       a			   =word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)      )
              a			   =char
       return pairs





def 							lowerCamelCase    (							UpperCAmelCase_	:      List[Any]      )->			Optional[Any]:

       """simple docstring"""




       a			   =text.replace("""，"""   ,       ""","""      )
       a			   =re.sub(R"""。\s*"""   ,       """. """   ,       UpperCAmelCase_      )
       a			   =text.replace("""、"""   ,       ""","""      )
       a			   =text.replace("""”"""   ,       """\""""      )
       a			   =text.replace("""“"""   ,       """\""""      )
       a			   =text.replace("""∶"""   ,       """:"""      )
       a			   =text.replace("""："""   ,       """:"""      )
       a			   =text.replace("""？"""   ,       """?"""      )
       a			   =text.replace("""《"""   ,       """\""""      )
       a			   =text.replace("""》"""   ,       """\""""      )
       a			   =text.replace("""）"""   ,       """)"""      )
       a			   =text.replace("""！"""   ,       """!"""      )
       a			   =text.replace("""（"""   ,       """("""      )
       a			   =text.replace("""；"""   ,       """;"""      )
       a			   =text.replace("""１"""   ,       """1"""      )
       a			   =text.replace("""」"""   ,       """\""""      )
       a			   =text.replace("""「"""   ,       """\""""      )
       a			   =text.replace("""０"""   ,       """0"""      )
       a			   =text.replace("""３"""   ,       """3"""      )
       a			   =text.replace("""２"""   ,       """2"""      )
       a			   =text.replace("""５"""   ,       """5"""      )
       a			   =text.replace("""６"""   ,       """6"""      )
       a			   =text.replace("""９"""   ,       """9"""      )
       a			   =text.replace("""７"""   ,       """7"""      )
       a			   =text.replace("""８"""   ,       """8"""      )
       a			   =text.replace("""４"""   ,       """4"""      )
       a			   =re.sub(R"""．\s*"""   ,       """. """   ,       UpperCAmelCase_      )
       a			   =text.replace("""～"""   ,       """~"""      )
       a			   =text.replace("""’"""   ,       """'"""      )
       a			   =text.replace("""…"""   ,       """..."""      )
       a			   =text.replace("""━"""   ,       """-"""      )
       a			   =text.replace("""〈"""   ,       """<"""      )
       a			   =text.replace("""〉"""   ,       """>"""      )
       a			   =text.replace("""【"""   ,       """["""      )
       a			   =text.replace("""】"""   ,       """]"""      )
       a			   =text.replace("""％"""   ,       """%"""      )
       return text





def 							lowerCamelCase    (							UpperCAmelCase_	:      Tuple      )->			Dict:

       """simple docstring"""




       a			   =[]
       for char in text:
              a			   =unicodedata.category(UpperCAmelCase_      )
              if cat.startswith("""C"""      ):
                     continue
              output.append(UpperCAmelCase_      )
       return "".join(UpperCAmelCase_      )






class        UpperCAmelCase__				(							UpperCAmelCase__				):



     '''simple docstring'''
     _SCREAMING_SNAKE_CASE      :					Union[str, Any]     					=    VOCAB_FILES_NAMES
     _SCREAMING_SNAKE_CASE      :					str     					=    PRETRAINED_VOCAB_FILES_MAP
     _SCREAMING_SNAKE_CASE      :					Any     					=    PRETRAINED_INIT_CONFIGURATION
     _SCREAMING_SNAKE_CASE      :					Dict     					=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _SCREAMING_SNAKE_CASE      :					Dict     					=    ["input_ids", "attention_mask"]
     def __init__(				self ,    _lowerCAmelCase=None ,    _lowerCAmelCase=None ,    _lowerCAmelCase=None ,    _lowerCAmelCase=None ,    _lowerCAmelCase=False ,    _lowerCAmelCase="<unk>" ,    _lowerCAmelCase="<s>" ,    _lowerCAmelCase="</s>" ,    _lowerCAmelCase="<pad>" ,    **_lowerCAmelCase ,    ):
            super().__init__(
                langs=_lowerCAmelCase ,    src_vocab_file=_lowerCAmelCase ,    tgt_vocab_file=_lowerCAmelCase ,    merges_file=_lowerCAmelCase ,    do_lower_case=_lowerCAmelCase ,    unk_token=_lowerCAmelCase ,    bos_token=_lowerCAmelCase ,    sep_token=_lowerCAmelCase ,    pad_token=_lowerCAmelCase ,    **_lowerCAmelCase ,    )

            try:
                   import sacremoses
            except ImportError:
                   raise ImportError(
                       """You need to install sacremoses to use XLMTokenizer. """
                       """See https://pypi.org/project/sacremoses/ for installation."""	)

            a			   =sacremoses

            a			   =src_vocab_file
            a			   =tgt_vocab_file
            a			   =merges_file
            a			   =do_lower_case

            # cache of sm.MosesPunctNormalizer instance
            a			   ={}
            # cache of sm.MosesTokenizer instance
            a			   ={}
            a			   ={}

            if langs and len(_lowerCAmelCase	) == 2:
                   a   ,      a			   =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(_lowerCAmelCase ,    encoding="""utf-8"""	) as src_vocab_handle:
                   a			   =json.load(_lowerCAmelCase	)
            with open(_lowerCAmelCase ,    encoding="""utf-8"""	) as tgt_vocab_handle:
                   a			   =json.load(_lowerCAmelCase	)
                   a			   ={v: k for k, v in tgt_vocab.items()}
            with open(_lowerCAmelCase ,    encoding="""utf-8"""	) as merges_handle:
                   a			   =merges_handle.read().split("""\n"""	)[:-1]
            a			   =[tuple(merge.split()[:2]	) for merge in merges]
            a			   =dict(zip(_lowerCAmelCase ,    range(len(_lowerCAmelCase	)	)	)	)
            a			   ={}
     def        lowerCAmelCase__  (				self	):
            return self.get_src_vocab()
     @property
     def        lowerCAmelCase__  (				self	):
            return self.src_vocab_size
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase	):
            if lang not in self.cache_moses_punct_normalizer:
                   a			   =self.sm.MosesPunctNormalizer(lang=_lowerCAmelCase	)
                   a			   =punct_normalizer
            return self.cache_moses_punct_normalizer[lang].normalize(_lowerCAmelCase	)
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase	):
            if lang not in self.cache_moses_tokenizer:
                   a			   =self.sm.MosesTokenizer(lang=_lowerCAmelCase	)
                   a			   =moses_tokenizer
            return self.cache_moses_tokenizer[lang].tokenize(
                _lowerCAmelCase ,    aggressive_dash_splits=_lowerCAmelCase ,    return_str=_lowerCAmelCase ,    escape=_lowerCAmelCase	)
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase	):
            if lang not in self.cache_moses_detokenizer:
                   a			   =self.sm.MosesDetokenizer(lang=_lowerCAmelCase	)
                   a			   =moses_detokenizer
            return self.cache_moses_detokenizer[lang].detokenize(_lowerCAmelCase	)
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase	):
            a			   =replace_unicode_punct(_lowerCAmelCase	)
            a			   =self.moses_punct_norm(_lowerCAmelCase ,    _lowerCAmelCase	)
            a			   =remove_non_printing_char(_lowerCAmelCase	)
            return text
     @property
     def        lowerCAmelCase__  (				self	):
            return len(self.encoder	)
     @property
     def        lowerCAmelCase__  (				self	):
            return len(self.decoder	)
     def        lowerCAmelCase__  (				self	):
            return dict(self.encoder ,    **self.added_tokens_encoder	)
     def        lowerCAmelCase__  (				self	):
            return dict(self.decoder ,    **self.added_tokens_decoder	)
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase	):
            a			   =tuple(token[:-1]	) + (token[-1] + """</w>""",)
            if token in self.cache:
                   return self.cache[token]
            a			   =get_pairs(_lowerCAmelCase	)

            if not pairs:
                   return token + "</w>"

            while True:
                   a			   =min(_lowerCAmelCase ,    key=lambda _lowerCAmelCase	: self.bpe_ranks.get(_lowerCAmelCase ,    float("""inf"""	)	)	)
                   if bigram not in self.bpe_ranks:
                          break
                   a   ,      a			   =bigram
                   a			   =[]
                   a			   =0
                   while i < len(_lowerCAmelCase	):
                          try:
                                 a			   =word.index(_lowerCAmelCase ,    _lowerCAmelCase	)
                          except ValueError:
                                 new_word.extend(word[i:]	)
                                 break
                          else:
                                 new_word.extend(word[i:j]	)
                                 a			   =j

                          if word[i] == first and i < len(_lowerCAmelCase	) - 1 and word[i + 1] == second:
                                 new_word.append(first + second	)
                                 i += 2
                          else:
                                 new_word.append(word[i]	)
                                 i += 1
                   a			   =tuple(_lowerCAmelCase	)
                   a			   =new_word
                   if len(_lowerCAmelCase	) == 1:
                          break
                   else:
                          a			   =get_pairs(_lowerCAmelCase	)
            a			   =""" """.join(_lowerCAmelCase	)
            if word == "\n  </w>":
                   a			   ="""\n</w>"""
            a			   =word
            return word
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase="en" ,    _lowerCAmelCase=False	):
            a			   =self.src_lang

            if self.do_lower_case:
                   a			   =text.lower()

            if bypass_tokenizer:
                   a			   =text.split()
            else:
                   a			   =self.moses_pipeline(_lowerCAmelCase ,    lang=_lowerCAmelCase	)
                   a			   =self.moses_tokenize(_lowerCAmelCase ,    lang=_lowerCAmelCase	)

            a			   =[]
            for token in text:
                   if token:
                          split_tokens.extend(list(self.bpe(_lowerCAmelCase	).split(""" """	)	)	)

            return split_tokens
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase	):
            return self.encoder.get(_lowerCAmelCase ,    self.encoder.get(self.unk_token	)	)
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase	):
            return self.decoder.get(_lowerCAmelCase ,    self.unk_token	)
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase	):
            a			   =[t.replace(""" """ ,    """"""	).replace("""</w>""" ,    """ """	) for t in tokens]
            a			   ="""""".join(_lowerCAmelCase	).split()
            # detokenize
            a			   =self.moses_detokenize(_lowerCAmelCase ,    self.tgt_lang	)
            return text
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase = None	):
            a			   =[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        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase = None ,    _lowerCAmelCase = False	):

            if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=_lowerCAmelCase ,    token_ids_a=_lowerCAmelCase ,    already_has_special_tokens=_lowerCAmelCase	)
            # no bos used in fairseq
            if token_ids_a is not None:
                   return ([0] * len(_lowerCAmelCase	)) + [1] + ([0] * len(_lowerCAmelCase	)) + [1]
            return ([0] * len(_lowerCAmelCase	)) + [1]
     def        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase = None	):
            a			   =[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        lowerCAmelCase__  (				self ,    _lowerCAmelCase ,    _lowerCAmelCase = None	):
            if not os.path.isdir(_lowerCAmelCase	):
                   logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''	)
                   return

            a			   =os.path.join(
                _lowerCAmelCase ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""src_vocab_file"""]	)
            a			   =os.path.join(
                _lowerCAmelCase ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_vocab_file"""]	)
            a			   =os.path.join(
                _lowerCAmelCase ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]	)

            with open(_lowerCAmelCase ,    """w""" ,    encoding="""utf-8"""	) as f:
                   f.write(json.dumps(self.encoder ,    indent=2 ,    sort_keys=_lowerCAmelCase ,    ensure_ascii=_lowerCAmelCase	) + """\n"""	)

            with open(_lowerCAmelCase ,    """w""" ,    encoding="""utf-8"""	) as f:
                   a			   ={v: k for k, v in self.decoder.items()}
                   f.write(json.dumps(_lowerCAmelCase ,    indent=2 ,    sort_keys=_lowerCAmelCase ,    ensure_ascii=_lowerCAmelCase	) + """\n"""	)

            a			   =0
            with open(_lowerCAmelCase ,    """w""" ,    encoding="""utf-8"""	) as writer:
                   for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,    key=lambda _lowerCAmelCase	: 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!"""	)
                                 a			   =token_index
                          writer.write(""" """.join(_lowerCAmelCase	) + """\n"""	)
                          index += 1

            return src_vocab_file, tgt_vocab_file, merges_file
     def __getstate__(				self	):
            a			   =self.__dict__.copy()
            a			   =None
            return state






     def __setstate__(				self ,    _lowerCAmelCase	):
            a			   =d

            try:
                   import sacremoses
            except ImportError:
                   raise ImportError(
                       """You need to install sacremoses to use XLMTokenizer. """
                       """See https://pypi.org/project/sacremoses/ for installation."""	)

            a			   =sacremoses






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


_lowerCamelCase							=      {'''configuration_cvt''': ['''CVT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CvtConfig''']}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCamelCase							=      [
        '''CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''CvtForImageClassification''',
        '''CvtModel''',
        '''CvtPreTrainedModel''',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCamelCase							=      [
        '''TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''TFCvtForImageClassification''',
        '''TFCvtModel''',
        '''TFCvtPreTrainedModel''',
    ]

if TYPE_CHECKING:
    from .configuration_cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_cvt import (
            CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CvtForImageClassification,
            CvtModel,
            CvtPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_cvt import (
            TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCvtForImageClassification,
            TFCvtModel,
            TFCvtPreTrainedModel,
        )


else:
    import sys

    _lowerCamelCase							=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
