






import csv
import dataclasses
import json
from dataclasses import dataclass
from typing import List, Optional, Union

from ...utils import is_tf_available, is_torch_available, logging


_UpperCAmelCase					:						Any         =     logging.get_logger(__name__)


@dataclass
class 		lowerCAmelCase_				:
     __lowerCamelCase       :    str
     __lowerCamelCase       :    str
     __lowerCamelCase       :    Optional[str] 	=     None
     __lowerCamelCase       :    Optional[str] 	=     None





     def 						lowerCamelCase							(	self  )		->				int:
        return json.dumps(dataclasses.asdict(self  )							, indent=2  ) + "\n"




@dataclass(frozen=UpperCamelCase )
class 		lowerCAmelCase_				:
     __lowerCamelCase       :    List[int]
     __lowerCamelCase       :    Optional[List[int]] 	=     None
     __lowerCamelCase       :    Optional[List[int]] 	=     None
     __lowerCamelCase       :    Optional[Union[int, float]] 	=     None





     def 						lowerCamelCase							(	self  )		->				str:
        return json.dumps(dataclasses.asdict(self  )  ) + "\n"




class 		lowerCAmelCase_				:





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				List[Any]:
        raise NotImplementedError()





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				Union[str, Any]:
        raise NotImplementedError()





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				Optional[Any]:
        raise NotImplementedError()





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				List[str]:
        raise NotImplementedError()





     def 						lowerCamelCase							(	self  )		->				Union[str, Any]:
        raise NotImplementedError()





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				List[Any]:
        if len(self.get_labels()  ) > 1:
           lowerCamelCase									=self.get_labels()[int(example.label  )]
        return example





     @classmethod
     def 						lowerCamelCase							(	cls							, _UpperCAmelCase							, _UpperCAmelCase=None  )		->				Optional[Any]:
        with open(_UpperCAmelCase							, """r"""							, encoding="""utf-8-sig"""  ) as f:
           return list(csv.reader(_UpperCAmelCase							, delimiter="""\t"""							, quotechar=_UpperCAmelCase  )  )




class 		lowerCAmelCase_				(  UpperCamelCase ):





     def __init__(	self							, _UpperCAmelCase=None							, _UpperCAmelCase=None							, _UpperCAmelCase="classification"							, _UpperCAmelCase=False  )		->				List[str]:
        lowerCamelCase									=[] if labels is None else labels
        lowerCamelCase									=[] if examples is None else examples
        lowerCamelCase									=mode
        lowerCamelCase									=verbose





     def __len__(	self  )		->				Dict:
        return len(self.examples  )





     def __getitem__(	self							, _UpperCAmelCase  )		->				List[str]:
        if isinstance(_UpperCAmelCase							, _UpperCAmelCase  ):
           return SingleSentenceClassificationProcessor(labels=self.labels							, examples=self.examples[idx]  )
        return self.examples[idx]





     @classmethod
     def 						lowerCamelCase							(	cls							, _UpperCAmelCase							, _UpperCAmelCase=""							, _UpperCAmelCase=0							, _UpperCAmelCase=1							, _UpperCAmelCase=None							, _UpperCAmelCase=False							, **_UpperCAmelCase  )		->				Dict:
        lowerCamelCase									=cls(**_UpperCAmelCase  )
        processor.add_examples_from_csv(
            _UpperCAmelCase							, split_name=_UpperCAmelCase							, column_label=_UpperCAmelCase							, column_text=_UpperCAmelCase							, column_id=_UpperCAmelCase							, skip_first_row=_UpperCAmelCase							, overwrite_labels=_UpperCAmelCase							, overwrite_examples=_UpperCAmelCase							, )
        return processor





     @classmethod
     def 						lowerCamelCase							(	cls							, _UpperCAmelCase							, _UpperCAmelCase=None							, **_UpperCAmelCase  )		->				str:
        lowerCamelCase									=cls(**_UpperCAmelCase  )
        processor.add_examples(_UpperCAmelCase							, labels=_UpperCAmelCase  )
        return processor





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase=""							, _UpperCAmelCase=0							, _UpperCAmelCase=1							, _UpperCAmelCase=None							, _UpperCAmelCase=False							, _UpperCAmelCase=False							, _UpperCAmelCase=False							, )		->				List[Any]:
        lowerCamelCase									=self._read_tsv(_UpperCAmelCase  )
        if skip_first_row:
           lowerCamelCase									=lines[1:]
        lowerCamelCase									=[]
        lowerCamelCase									=[]
        lowerCamelCase									=[]
        for i, line in enumerate(_UpperCAmelCase  ):
           texts.append(line[column_text]  )
           labels.append(line[column_label]  )
           if column_id is not None:
              ids.append(line[column_id]  )
           else:
              lowerCamelCase									=F'''{split_name}-{i}''' if split_name else str(_UpperCAmelCase  )
              ids.append(_UpperCAmelCase  )

        return self.add_examples(
            _UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase							, overwrite_labels=_UpperCAmelCase							, overwrite_examples=_UpperCAmelCase  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase=None							, _UpperCAmelCase=None							, _UpperCAmelCase=False							, _UpperCAmelCase=False  )		->				Tuple:
        if labels is not None and len(_UpperCAmelCase  ) != len(_UpperCAmelCase  ):
           raise ValueError(
               F'''Text and labels have mismatched lengths {len(_UpperCAmelCase  )} and {len(_UpperCAmelCase  )}'''  )
        if ids is not None and len(_UpperCAmelCase  ) != len(_UpperCAmelCase  ):
           raise ValueError(F'''Text and ids have mismatched lengths {len(_UpperCAmelCase  )} and {len(_UpperCAmelCase  )}'''  )
        if ids is None:
           lowerCamelCase									=[None] * len(_UpperCAmelCase  )
        if labels is None:
           lowerCamelCase									=[None] * len(_UpperCAmelCase  )
        lowerCamelCase									=[]
        lowerCamelCase									=set()
        for text_or_text_and_label, label, guid in zip(_UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase  ):
           if isinstance(_UpperCAmelCase							, (tuple, list)  ) and label is None:
              lowerCamelCase				,       lowerCamelCase									=text_or_text_and_label
           else:
              lowerCamelCase									=text_or_text_and_label
           added_labels.add(_UpperCAmelCase  )
           examples.append(InputExample(guid=_UpperCAmelCase							, text_a=_UpperCAmelCase							, text_b=_UpperCAmelCase							, label=_UpperCAmelCase  )  )

        # Update examples
        if overwrite_examples:
           lowerCamelCase									=examples
        else:
           self.examples.extend(_UpperCAmelCase  )

        # Update labels
        if overwrite_labels:
           lowerCamelCase									=list(_UpperCAmelCase  )
        else:
           lowerCamelCase									=list(set(self.labels  ).union(_UpperCAmelCase  )  )

        return self.examples





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase=None							, _UpperCAmelCase=False							, _UpperCAmelCase=0							, _UpperCAmelCase=True							, _UpperCAmelCase=None							, )		->				Tuple:
        if max_length is None:
           lowerCamelCase									=tokenizer.max_len

        lowerCamelCase									={label: i for i, label in enumerate(self.labels  )}

        lowerCamelCase									=[]
        for ex_index, example in enumerate(self.examples  ):
           if ex_index % 10000 == 0:
              logger.info(F'''Tokenizing example {ex_index}'''  )

           lowerCamelCase									=tokenizer.encode(
               example.text_a							, add_special_tokens=_UpperCAmelCase							, max_length=min(_UpperCAmelCase							, tokenizer.max_len  )							, )
           all_input_ids.append(_UpperCAmelCase  )

        lowerCamelCase									=max(len(_UpperCAmelCase  ) for input_ids in all_input_ids  )

        lowerCamelCase									=[]
        for ex_index, (input_ids, example) in enumerate(zip(_UpperCAmelCase							, self.examples  )  ):
           if ex_index % 10000 == 0:
              logger.info(F'''Writing example {ex_index}/{len(self.examples  )}'''  )
           # The mask has 1 for real tokens and 0 for padding tokens. Only real
           # tokens are attended to.
           lowerCamelCase									=[1 if mask_padding_with_zero else 0] * len(_UpperCAmelCase  )

           # Zero-pad up to the sequence length.
           lowerCamelCase									=batch_length - len(_UpperCAmelCase  )
           if pad_on_left:
              lowerCamelCase									=([pad_token] * padding_length) + input_ids
              lowerCamelCase									=([0 if mask_padding_with_zero else 1] * padding_length) + attention_mask
           else:
              lowerCamelCase									=input_ids + ([pad_token] * padding_length)
              lowerCamelCase									=attention_mask + ([0 if mask_padding_with_zero else 1] * padding_length)

           if len(_UpperCAmelCase  ) != batch_length:
              raise ValueError(F'''Error with input length {len(_UpperCAmelCase  )} vs {batch_length}'''  )
           if len(_UpperCAmelCase  ) != batch_length:
              raise ValueError(F'''Error with input length {len(_UpperCAmelCase  )} vs {batch_length}'''  )

           if self.mode == "classification":
              lowerCamelCase									=label_map[example.label]
           elif self.mode == "regression":
              lowerCamelCase									=float(example.label  )
           else:
              raise ValueError(self.mode  )

           if ex_index < 5 and self.verbose:
              logger.info("""*** Example ***"""  )
              logger.info(F'''guid: {example.guid}'''  )
              logger.info(F'''input_ids: {" ".join([str(_UpperCAmelCase  ) for x in input_ids]  )}'''  )
              logger.info(F'''attention_mask: {" ".join([str(_UpperCAmelCase  ) for x in attention_mask]  )}'''  )
              logger.info(F'''label: {example.label} (id = {label})'''  )

           features.append(InputFeatures(input_ids=_UpperCAmelCase							, attention_mask=_UpperCAmelCase							, label=_UpperCAmelCase  )  )

        if return_tensors is None:
           return features
        elif return_tensors == "tf":
           if not is_tf_available():
              raise RuntimeError("""return_tensors set to 'tf' but TensorFlow 2.0 can't be imported"""  )
           import tensorflow as tf

           def gen():
              for ex in features:
                 yield ({"input_ids": ex.input_ids, "attention_mask": ex.attention_mask}, ex.label)

           lowerCamelCase									=tf.data.Dataset.from_generator(
               _UpperCAmelCase							, ({"""input_ids""": tf.intaa, """attention_mask""": tf.intaa}, tf.intaa)							, ({"""input_ids""": tf.TensorShape([None]  ), """attention_mask""": tf.TensorShape([None]  )}, tf.TensorShape([]  ))							, )
           return dataset
        elif return_tensors == "pt":
           if not is_torch_available():
              raise RuntimeError("""return_tensors set to 'pt' but PyTorch can't be imported"""  )
           import torch
           from torch.utils.data import TensorDataset

           lowerCamelCase									=torch.tensor([f.input_ids for f in features]							, dtype=torch.long  )
           lowerCamelCase									=torch.tensor([f.attention_mask for f in features]							, dtype=torch.long  )
           if self.mode == "classification":
              lowerCamelCase									=torch.tensor([f.label for f in features]							, dtype=torch.long  )
           elif self.mode == "regression":
              lowerCamelCase									=torch.tensor([f.label for f in features]							, dtype=torch.float  )

           lowerCamelCase									=TensorDataset(_UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase  )
           return dataset
        else:
           raise ValueError("""return_tensors should be one of 'tf' or 'pt'"""  )







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					:						Dict         =     logging.get_logger(__name__)

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

_UpperCAmelCase					:						Optional[int]         =     {
    '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					:						Optional[int]         =     {'stas/tiny-wmt19-en-de': 1024}
_UpperCAmelCase					:						List[Any]         =     {
    'stas/tiny-wmt19-en-de': {
        'langs': ['en', 'de'],
        'model_max_length': 1024,
        'special_tokens_map_file': None,
        'full_tokenizer_file': None,
    }
}






def  UpperCAmelCase__						(    lowerCamelCase	:			Dict    ):
   lowerCamelCase									=set()
   lowerCamelCase									=word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)    )
      lowerCamelCase									=char
   return pairs






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






def  UpperCAmelCase__						(    lowerCamelCase	:			Optional[int]    ):
   lowerCamelCase									=[]
   for char in text:
      lowerCamelCase									=unicodedata.category(lowerCamelCase    )
      if cat.startswith("""C"""    ):
         continue
      output.append(lowerCamelCase    )
   return "".join(lowerCamelCase    )







class 		lowerCAmelCase_				(  UpperCamelCase ):
     __lowerCamelCase       :    Optional[int] 	=     VOCAB_FILES_NAMES
     __lowerCamelCase       :    List[Any] 	=     PRETRAINED_VOCAB_FILES_MAP
     __lowerCamelCase       :    List[Any] 	=     PRETRAINED_INIT_CONFIGURATION
     __lowerCamelCase       :    Tuple 	=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __lowerCamelCase       :    Optional[int] 	=     ['''input_ids''', '''attention_mask''']





     def __init__(	self							, _UpperCAmelCase=None							, _UpperCAmelCase=None							, _UpperCAmelCase=None							, _UpperCAmelCase=None							, _UpperCAmelCase=False							, _UpperCAmelCase="<unk>"							, _UpperCAmelCase="<s>"							, _UpperCAmelCase="</s>"							, _UpperCAmelCase="<pad>"							, **_UpperCAmelCase							, )		->				Tuple:
        super().__init__(
            langs=_UpperCAmelCase							, src_vocab_file=_UpperCAmelCase							, tgt_vocab_file=_UpperCAmelCase							, merges_file=_UpperCAmelCase							, do_lower_case=_UpperCAmelCase							, unk_token=_UpperCAmelCase							, bos_token=_UpperCAmelCase							, sep_token=_UpperCAmelCase							, pad_token=_UpperCAmelCase							, **_UpperCAmelCase							, )

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

        lowerCamelCase									=sacremoses

        lowerCamelCase									=src_vocab_file
        lowerCamelCase									=tgt_vocab_file
        lowerCamelCase									=merges_file
        lowerCamelCase									=do_lower_case

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

        if langs and len(_UpperCAmelCase  ) == 2:
           lowerCamelCase				,       lowerCamelCase									=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(_UpperCAmelCase							, encoding="""utf-8"""  ) as src_vocab_handle:
           lowerCamelCase									=json.load(_UpperCAmelCase  )
        with open(_UpperCAmelCase							, encoding="""utf-8"""  ) as tgt_vocab_handle:
           lowerCamelCase									=json.load(_UpperCAmelCase  )
           lowerCamelCase									={v: k for k, v in tgt_vocab.items()}
        with open(_UpperCAmelCase							, encoding="""utf-8"""  ) as merges_handle:
           lowerCamelCase									=merges_handle.read().split("""\n"""  )[:-1]
        lowerCamelCase									=[tuple(merge.split()[:2]  ) for merge in merges]
        lowerCamelCase									=dict(zip(_UpperCAmelCase							, range(len(_UpperCAmelCase  )  )  )  )
        lowerCamelCase									={}





     def 						lowerCamelCase							(	self  )		->				Dict[str, int]:
        return self.get_src_vocab()





     @property
     def 						lowerCamelCase							(	self  )		->				int:
        return self.src_vocab_size





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase  )		->				int:
        if lang not in self.cache_moses_punct_normalizer:
           lowerCamelCase									=self.sm.MosesPunctNormalizer(lang=_UpperCAmelCase  )
           lowerCamelCase									=punct_normalizer
        return self.cache_moses_punct_normalizer[lang].normalize(_UpperCAmelCase  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase  )		->				str:
        if lang not in self.cache_moses_tokenizer:
           lowerCamelCase									=self.sm.MosesTokenizer(lang=_UpperCAmelCase  )
           lowerCamelCase									=moses_tokenizer
        return self.cache_moses_tokenizer[lang].tokenize(
            _UpperCAmelCase							, aggressive_dash_splits=_UpperCAmelCase							, return_str=_UpperCAmelCase							, escape=_UpperCAmelCase  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase  )		->				Dict:
        if lang not in self.cache_moses_detokenizer:
           lowerCamelCase									=self.sm.MosesDetokenizer(lang=_UpperCAmelCase  )
           lowerCamelCase									=moses_detokenizer
        return self.cache_moses_detokenizer[lang].detokenize(_UpperCAmelCase  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase  )		->				List[str]:
        lowerCamelCase									=replace_unicode_punct(_UpperCAmelCase  )
        lowerCamelCase									=self.moses_punct_norm(_UpperCAmelCase							, _UpperCAmelCase  )
        lowerCamelCase									=remove_non_printing_char(_UpperCAmelCase  )
        return text





     @property
     def 						lowerCamelCase							(	self  )		->				Dict:
        return len(self.encoder  )





     @property
     def 						lowerCamelCase							(	self  )		->				Union[str, Any]:
        return len(self.decoder  )





     def 						lowerCamelCase							(	self  )		->				Optional[Any]:
        return dict(self.encoder							, **self.added_tokens_encoder  )





     def 						lowerCamelCase							(	self  )		->				Union[str, Any]:
        return dict(self.decoder							, **self.added_tokens_decoder  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				Union[str, Any]:
        lowerCamelCase									=tuple(token[:-1]  ) + (token[-1] + """</w>""",)
        if token in self.cache:
           return self.cache[token]
        lowerCamelCase									=get_pairs(_UpperCAmelCase  )

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

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

              if word[i] == first and i < len(_UpperCAmelCase  ) - 1 and word[i + 1] == second:
                 new_word.append(first + second  )
                 i += 2
              else:
                 new_word.append(word[i]  )
                 i += 1
           lowerCamelCase									=tuple(_UpperCAmelCase  )
           lowerCamelCase									=new_word
           if len(_UpperCAmelCase  ) == 1:
              break
           else:
              lowerCamelCase									=get_pairs(_UpperCAmelCase  )
        lowerCamelCase									=""" """.join(_UpperCAmelCase  )
        if word == "\n  </w>":
           lowerCamelCase									="""\n</w>"""
        lowerCamelCase									=word
        return word





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase="en"							, _UpperCAmelCase=False  )		->				str:
        lowerCamelCase									=self.src_lang

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

        if bypass_tokenizer:
           lowerCamelCase									=text.split()
        else:
           lowerCamelCase									=self.moses_pipeline(_UpperCAmelCase							, lang=_UpperCAmelCase  )
           lowerCamelCase									=self.moses_tokenize(_UpperCAmelCase							, lang=_UpperCAmelCase  )

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

        return split_tokens





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				List[str]:
        return self.encoder.get(_UpperCAmelCase							, self.encoder.get(self.unk_token  )  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				Tuple:
        return self.decoder.get(_UpperCAmelCase							, self.unk_token  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase  )		->				List[Any]:
        lowerCamelCase									=[t.replace(""" """							, """"""  ).replace("""</w>"""							, """ """  ) for t in tokens]
        lowerCamelCase									="""""".join(_UpperCAmelCase  ).split()
        # detokenize
        lowerCamelCase									=self.moses_detokenize(_UpperCAmelCase							, self.tgt_lang  )
        return text





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase = None  )		->				List[int]:
        lowerCamelCase									=[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							, _UpperCAmelCase							, _UpperCAmelCase = None							, _UpperCAmelCase = False  )		->				List[int]:

        if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=_UpperCAmelCase							, token_ids_a=_UpperCAmelCase							, already_has_special_tokens=_UpperCAmelCase  )
        # no bos used in fairseq
        if token_ids_a is not None:
           return ([0] * len(_UpperCAmelCase  )) + [1] + ([0] * len(_UpperCAmelCase  )) + [1]
        return ([0] * len(_UpperCAmelCase  )) + [1]





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase = None  )		->				List[int]:
        lowerCamelCase									=[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							, _UpperCAmelCase							, _UpperCAmelCase = None  )		->				Tuple[str]:
        if not os.path.isdir(_UpperCAmelCase  ):
           logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''  )
           return

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

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

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

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

        return src_vocab_file, tgt_vocab_file, merges_file





     def __getstate__(	self  )		->				List[Any]:
        lowerCamelCase									=self.__dict__.copy()
        lowerCamelCase									=None
        return state





     def __setstate__(	self							, _UpperCAmelCase  )		->				Union[str, Any]:
        lowerCamelCase									=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									=sacremoses