
"""simple docstring"""

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_bart import BartTokenizer


SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_    					=						{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE_    					=						{
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json''',
    },
}

SCREAMING_SNAKE_CASE_    					=						{
    '''facebook/bart-base''': 1024,
    '''facebook/bart-large''': 1024,
    '''facebook/bart-large-mnli''': 1024,
    '''facebook/bart-large-cnn''': 1024,
    '''facebook/bart-large-xsum''': 1024,
    '''yjernite/bart_eli5''': 1024,
}
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							Tuple							      =	VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE   :							Dict							      =	PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE   :							Dict							      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE   :							Any							      =	["input_ids", "attention_mask"]
      __SCREAMING_SNAKE_CASE   :							List[str]							      =	BartTokenizer




      def __init__(							self   ,       lowercase_=None   ,       lowercase_=None   ,       lowercase_=None   ,       lowercase_="replace"   ,       lowercase_="<s>"   ,       lowercase_="</s>"   ,       lowercase_="</s>"   ,       lowercase_="<s>"   ,       lowercase_="<unk>"   ,       lowercase_="<pad>"   ,       lowercase_="<mask>"   ,       lowercase_=False   ,       lowercase_=True   ,       **lowercase_   ,       )						->					Optional[int]:
          super().__init__(
              lowercase_   ,       lowercase_   ,       tokenizer_file=lowercase_   ,       errors=lowercase_   ,       bos_token=lowercase_   ,       eos_token=lowercase_   ,       sep_token=lowercase_   ,       cls_token=lowercase_   ,       unk_token=lowercase_   ,       pad_token=lowercase_   ,       mask_token=lowercase_   ,       add_prefix_space=lowercase_   ,       trim_offsets=lowercase_   ,       **lowercase_   ,       )

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

          UpperCAmelCase									=					add_prefix_space

          # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
          UpperCAmelCase									=					'post_processor'
          UpperCAmelCase									=					getattr(self.backend_tokenizer   ,       lowercase_   ,       lowercase_							)
          if tokenizer_component_instance:
              UpperCAmelCase									=					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:
                  UpperCAmelCase									=					tuple(state['sep']							)
              if "cls" in state:
                  UpperCAmelCase									=					tuple(state['cls']							)

              UpperCAmelCase									=					False

              if state.get('add_prefix_space'   ,       lowercase_							) != add_prefix_space:
                  UpperCAmelCase									=					add_prefix_space
                  UpperCAmelCase									=					True

              if state.get('trim_offsets'   ,       lowercase_							) != trim_offsets:
                  UpperCAmelCase									=					trim_offsets
                  UpperCAmelCase									=					True

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




      @property
      def     a_      (							self							)						->					str:
          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     a_      (							self   ,       lowercase_							)						->					Optional[int]:
          UpperCAmelCase									=					AddedToken(lowercase_   ,       lstrip=lowercase_   ,       rstrip=lowercase_							) if isinstance(lowercase_   ,       lowercase_							) else value
          UpperCAmelCase									=					value




      def     a_      (							self   ,       *lowercase_   ,       **lowercase_							)						->					BatchEncoding:
          UpperCAmelCase									=					kwargs.get('is_split_into_words'   ,       lowercase_							)

          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(*lowercase_   ,       **lowercase_							)




      def     a_      (							self   ,       *lowercase_   ,       **lowercase_							)						->					BatchEncoding:
          UpperCAmelCase									=					kwargs.get('is_split_into_words'   ,       lowercase_							)

          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(*lowercase_   ,       **lowercase_							)




      def     a_      (							self   ,       lowercase_   ,       lowercase_ = None							)						->					Tuple[str]:
          UpperCAmelCase									=					self._tokenizer.model.save(lowercase_   ,       name=lowercase_							)
          return tuple(lowercase_							)




      def     a_      (							self   ,       lowercase_   ,       lowercase_=None							)						->					int:
          UpperCAmelCase									=					[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     a_      (							self   ,       lowercase_   ,       lowercase_ = None							)						->					List[int]:
          UpperCAmelCase									=					[self.sep_token_id]
          UpperCAmelCase									=					[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     lowercase__						(					lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ) ->      int:






    """simple docstring"""




    return int((input_a, input_a).count(0 ) == 0 )




def     lowercase__						(					) ->      None:






    """simple docstring"""




    assert and_gate(0 ,				0 ) == 0
    assert and_gate(0 ,				1 ) == 0
    assert and_gate(1 ,				0 ) == 0
    assert and_gate(1 ,				1 ) == 1


if __name__ == "__main__":
   test_and_gate()
   print(and_gate(1, 0))
   print(and_gate(0, 0))
   print(and_gate(0, 1))
   print(and_gate(1, 1))



