





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


lowercase      :       Optional[int]									=  logging.get_logger(__name__)


lowercase      :       Optional[int]									=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all BART models at https://huggingface.co/models?filter=bart
lowercase      :       Union[str, Any]									=  {
    """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""",
    },
}

lowercase      :       Union[str, Any]									=  {
    """facebook/bart-base""": 1_0_2_4,
    """facebook/bart-large""": 1_0_2_4,
    """facebook/bart-large-mnli""": 1_0_2_4,
    """facebook/bart-large-cnn""": 1_0_2_4,
    """facebook/bart-large-xsum""": 1_0_2_4,
    """yjernite/bart_eli5""": 1_0_2_4,
}





class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				Any         =  VOCAB_FILES_NAMES
   __A   :				str         =  PRETRAINED_VOCAB_FILES_MAP
   __A   :				List[str]         =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A   :				Union[str, Any]         =  ['''input_ids''', '''attention_mask''']
   __A   :				Union[str, Any]         =  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					,  )			->						int:







          '''simple docstring'''

          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					,  )

          a__						:	List[Any] =				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
          if pre_tok_state.get('add_prefix_space'					,  lowercase) != add_prefix_space:
                 a__						:	Any =				getattr(lowercase					,  pre_tok_state.pop('type'))
                 a__						:	List[Any] =				add_prefix_space
                 a__						:	Dict =				pre_tok_class(**lowercase)

          a__						:	List[str] =				add_prefix_space

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

                 a__						:	str =				False

                 if state.get('add_prefix_space'					,  lowercase) != add_prefix_space:
                        a__						:	Tuple =				add_prefix_space
                        a__						:	Tuple =				True

                 if state.get('trim_offsets'					,  lowercase) != trim_offsets:
                        a__						:	List[Any] =				trim_offsets
                        a__						:	Tuple =				True

                 if changes_to_apply:
                        a__						:	Optional[int] =				getattr(lowercase					,  state.pop('type'))
                        a__						:	Optional[int] =				component_class(**lowercase)
                        setattr(self.backend_tokenizer					,  lowercase					,  lowercase)

   @property
   def 							__lowercase		(					self)			->						str:







          '''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 							__lowercase		(					self					,  lowercase)			->						Optional[Any]:







          '''simple docstring'''

          a__						:	Tuple =				AddedToken(lowercase					,  lstrip=lowercase					,  rstrip=lowercase) if isinstance(lowercase					,  lowercase) else value
          a__						:	Union[str, Any] =				value

   def 							__lowercase		(					self					,  *lowercase					,  **lowercase)			->						BatchEncoding:







          '''simple docstring'''

          a__						:	List[str] =				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 							__lowercase		(					self					,  *lowercase					,  **lowercase)			->						BatchEncoding:







          '''simple docstring'''

          a__						:	Any =				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 							__lowercase		(					self					,  lowercase					,  lowercase = None)			->						Tuple[str]:







          '''simple docstring'''

          a__						:	List[Any] =				self._tokenizer.model.save(lowercase					,  name=lowercase)
          return tuple(lowercase)

   def 							__lowercase		(					self					,  lowercase					,  lowercase=None)			->						List[str]:







          '''simple docstring'''

          a__						:	str =				[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 							__lowercase		(					self					,  lowercase					,  lowercase = None)			->						List[int]:







          '''simple docstring'''

          a__						:	Dict =				[self.sep_token_id]
          a__						:	str =				[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]









from ..utils import is_flax_available, is_torch_available


if is_torch_available():
    from .autoencoder_kl import AutoencoderKL
    from .controlnet import ControlNetModel
    from .dual_transformer_ad import DualTransformeraDModel
    from .modeling_utils import ModelMixin
    from .prior_transformer import PriorTransformer
    from .ta_film_transformer import TaFilmDecoder
    from .transformer_ad import TransformeraDModel
    from .unet_ad import UNetaDModel
    from .unet_ad import UNetaDModel
    from .unet_ad_condition import UNetaDConditionModel
    from .unet_ad_condition import UNetaDConditionModel
    from .vq_model import VQModel

if is_flax_available():
    from .controlnet_flax import FlaxControlNetModel
    from .unet_ad_condition_flax import FlaxUNetaDConditionModel
    from .vae_flax import FlaxAutoencoderKL


