



import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


a_								=       logging.get_logger(__name__)


a_								=       {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

# See all MVP models at https://huggingface.co/models?filter=mvp
a_								=       {
    "vocab_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json",
    },
    "added_tokens.json": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json",
    },
    "merges_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json",
    },
}

a_								=       {
    "RUCAIBox/mvp": 1_024,
}



class 			__lowerCAmelCase  (						_UpperCamelCase ):
 lowerCAmelCase__							       =	VOCAB_FILES_NAMES
 lowerCAmelCase__							       =	PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__							       =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCAmelCase__							       =	['input_ids', 'attention_mask']
 lowerCAmelCase__							       =	MvpTokenizer




 def __init__(    self						,					__UpperCAmelCase=None						,					__UpperCAmelCase=None						,					__UpperCAmelCase=None						,					__UpperCAmelCase="replace"						,					__UpperCAmelCase="<s>"						,					__UpperCAmelCase="</s>"						,					__UpperCAmelCase="</s>"						,					__UpperCAmelCase="<s>"						,					__UpperCAmelCase="<unk>"						,					__UpperCAmelCase="<pad>"						,					__UpperCAmelCase="<mask>"						,					__UpperCAmelCase=False						,					__UpperCAmelCase=True						,					**__UpperCAmelCase						,					):



    '''simple docstring'''
    super().__init__(
        __UpperCAmelCase						,					__UpperCAmelCase						,					tokenizer_file=__UpperCAmelCase						,					errors=__UpperCAmelCase						,					bos_token=__UpperCAmelCase						,					eos_token=__UpperCAmelCase						,					sep_token=__UpperCAmelCase						,					cls_token=__UpperCAmelCase						,					unk_token=__UpperCAmelCase						,					pad_token=__UpperCAmelCase						,					mask_token=__UpperCAmelCase						,					add_prefix_space=__UpperCAmelCase						,					trim_offsets=__UpperCAmelCase						,					**__UpperCAmelCase						,					)

    __lowerCamelCase    				=     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
    if pre_tok_state.get('''add_prefix_space'''						,					__UpperCAmelCase					) != add_prefix_space:
       __lowerCamelCase    				=     getattr(__UpperCAmelCase						,					pre_tok_state.pop('''type'''					)					)
       __lowerCamelCase    				=     add_prefix_space
       __lowerCamelCase    				=     pre_tok_class(**__UpperCAmelCase					)

    __lowerCamelCase    				=     add_prefix_space

    # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
    __lowerCamelCase    				=     "post_processor"
    __lowerCamelCase    				=     getattr(self.backend_tokenizer						,					__UpperCAmelCase						,					__UpperCAmelCase					)
    if tokenizer_component_instance:
       __lowerCamelCase    				=     json.loads(tokenizer_component_instance.__getstate__()					)

       # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
       if "sep" in state:
          __lowerCamelCase    				=     tuple(state['''sep''']					)
       if "cls" in state:
          __lowerCamelCase    				=     tuple(state['''cls''']					)

       __lowerCamelCase    				=     False

       if state.get('''add_prefix_space'''						,					__UpperCAmelCase					) != add_prefix_space:
          __lowerCamelCase    				=     add_prefix_space
          __lowerCamelCase    				=     True

       if state.get('''trim_offsets'''						,					__UpperCAmelCase					) != trim_offsets:
          __lowerCamelCase    				=     trim_offsets
          __lowerCamelCase    				=     True

       if changes_to_apply:
          __lowerCamelCase    				=     getattr(__UpperCAmelCase						,					state.pop('''type'''					)					)
          __lowerCamelCase    				=     component_class(**__UpperCAmelCase					)
          setattr(self.backend_tokenizer						,					__UpperCAmelCase						,					__UpperCAmelCase					)




 @property
 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    if self._mask_token is None:
       if self.verbose:
          logger.error('''Using mask_token, but it is not set yet.'''					)
       return None
    return str(self._mask_token					)




 @mask_token.setter
 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     AddedToken(__UpperCAmelCase						,					lstrip=__UpperCAmelCase						,					rstrip=__UpperCAmelCase					) if isinstance(__UpperCAmelCase						,					__UpperCAmelCase					) else value
    __lowerCamelCase    				=     value




 def 							lowerCamelCase   (    self						,					*__UpperCAmelCase						,					**__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     kwargs.get('''is_split_into_words'''						,					__UpperCAmelCase					)

    if is_split_into_words and not self.add_prefix_space:
       raise ValueError(
           F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
           '''to use it with pretokenized inputs.'''					)

    return super()._batch_encode_plus(*__UpperCAmelCase						,					**__UpperCAmelCase					)




 def 							lowerCamelCase   (    self						,					*__UpperCAmelCase						,					**__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     kwargs.get('''is_split_into_words'''						,					__UpperCAmelCase					)

    if is_split_into_words and not self.add_prefix_space:
       raise ValueError(
           F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
           '''to use it with pretokenized inputs.'''					)

    return super()._encode_plus(*__UpperCAmelCase						,					**__UpperCAmelCase					)




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



    '''simple docstring'''
    __lowerCamelCase    				=     self._tokenizer.model.save(__UpperCAmelCase						,					name=__UpperCAmelCase					)
    return tuple(__UpperCAmelCase					)




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



    '''simple docstring'''
    __lowerCamelCase    				=     [self.bos_token_id] + token_ids_a + [self.eos_token_id]
    if token_ids_a is None:
       return output

    return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




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



    '''simple docstring'''
    __lowerCamelCase    				=     [self.sep_token_id]
    __lowerCamelCase    				=     [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]











"""simple docstring"""




def 		__snake_case		( SCREAMING_SNAKE_CASE__      :		str							)    ->  bool:





     '''simple docstring'''

     _UpperCAmelCase     :      str														=       0
     for ch in input_str:
          _UpperCAmelCase     :      Optional[int]														=       ord(SCREAMING_SNAKE_CASE__							)
          _UpperCAmelCase     :      int														=       pow(2		,    SCREAMING_SNAKE_CASE__							)

          # If we already turned on bit for current character's unicode
          if bitmap >> ch_unicode & 1 == 1:
               return False
          bitmap |= ch_bit_index_on
     return True


if __name__ == "__main__":
 import doctest

 doctest.testmod()
