"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__lowerCAmelCase					: Tuple        =logging.get_logger(__name__)

__lowerCAmelCase					: Tuple        ={
    """shi-labs/nat-mini-in1k-224""": """https://huggingface.co/shi-labs/nat-mini-in1k-224/resolve/main/config.json""",
    # See all Nat models at https://huggingface.co/models?filter=nat
}





class 				_A		( lowerCAmelCase						,					lowerCAmelCase			):
      snake_case__    :     Optional[int]													=			'nat'

      snake_case__    :     Dict													=			{
          'num_attention_heads': 'num_heads',
          'num_hidden_layers': 'num_layers',
      }

      def __init__(		self	, __lowerCAmelCase=4	, __lowerCAmelCase=3	, __lowerCAmelCase=64	, __lowerCAmelCase=[3, 4, 6, 5]	, __lowerCAmelCase=[2, 4, 8, 16]	, __lowerCAmelCase=7	, __lowerCAmelCase=3.0	, __lowerCAmelCase=True	, __lowerCAmelCase=0.0	, __lowerCAmelCase=0.0	, __lowerCAmelCase=0.1	, __lowerCAmelCase="gelu"	, __lowerCAmelCase=0.0_2	, __lowerCAmelCase=1E-5	, __lowerCAmelCase=0.0	, __lowerCAmelCase=None	, __lowerCAmelCase=None	, **__lowerCAmelCase	, ):







            """simple docstring"""



            super().__init__(**__lowerCAmelCase		)

            lowercase														=			patch_size
            lowercase														=			num_channels
            lowercase														=			embed_dim
            lowercase														=			depths
            lowercase														=			len(__lowerCAmelCase		)
            lowercase														=			num_heads
            lowercase														=			kernel_size
            lowercase														=			mlp_ratio
            lowercase														=			qkv_bias
            lowercase														=			hidden_dropout_prob
            lowercase														=			attention_probs_dropout_prob
            lowercase														=			drop_path_rate
            lowercase														=			hidden_act
            lowercase														=			layer_norm_eps
            lowercase														=			initializer_range
            # we set the hidden_size attribute in order to make Nat work with VisionEncoderDecoderModel
            # this indicates the channel dimension after the last stage of the model
            lowercase														=			int(embed_dim * 2 ** (len(__lowerCAmelCase		) - 1)		)
            lowercase														=			layer_scale_init_value
            lowercase														=			["""stem"""] + [f'stage{idx}' for idx in range(1	, len(__lowerCAmelCase		) + 1		)]
            lowercase							,							lowercase														=			get_aligned_output_features_output_indices(
                out_features=__lowerCAmelCase	, out_indices=__lowerCAmelCase	, stage_names=self.stage_names		)




"""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


__lowerCAmelCase					: Tuple        =logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
__lowerCAmelCase					: Optional[int]        ={
    """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""",
    },
}

__lowerCAmelCase					: Optional[int]        ={
    """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		( lowerCAmelCase			):
      snake_case__    :     Optional[int]													=			VOCAB_FILES_NAMES
      snake_case__    :     Tuple													=			PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :     Tuple													=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__    :     Optional[Any]													=			['input_ids', 'attention_mask']
      snake_case__    :     Dict													=			BartTokenizer

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







            """simple docstring"""



            super().__init__(
                __lowerCAmelCase	, __lowerCAmelCase	, tokenizer_file=__lowerCAmelCase	, errors=__lowerCAmelCase	, bos_token=__lowerCAmelCase	, eos_token=__lowerCAmelCase	, sep_token=__lowerCAmelCase	, cls_token=__lowerCAmelCase	, unk_token=__lowerCAmelCase	, pad_token=__lowerCAmelCase	, mask_token=__lowerCAmelCase	, add_prefix_space=__lowerCAmelCase	, trim_offsets=__lowerCAmelCase	, **__lowerCAmelCase	, )

            lowercase														=			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
            if pre_tok_state.get("""add_prefix_space"""	, __lowerCAmelCase		) != add_prefix_space:
                  lowercase														=			getattr(__lowerCAmelCase	, pre_tok_state.pop("""type"""		)		)
                  lowercase														=			add_prefix_space
                  lowercase														=			pre_tok_class(**__lowerCAmelCase		)

            lowercase														=			add_prefix_space

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

                  lowercase														=			False

                  if state.get("""add_prefix_space"""	, __lowerCAmelCase		) != add_prefix_space:
                        lowercase														=			add_prefix_space
                        lowercase														=			True

                  if state.get("""trim_offsets"""	, __lowerCAmelCase		) != trim_offsets:
                        lowercase														=			trim_offsets
                        lowercase														=			True

                  if changes_to_apply:
                        lowercase														=			getattr(__lowerCAmelCase	, state.pop("""type"""		)		)
                        lowercase														=			component_class(**__lowerCAmelCase		)
                        setattr(self.backend_tokenizer	, __lowerCAmelCase	, __lowerCAmelCase		)

      @property
      def        A__ (		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        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			AddedToken(__lowerCAmelCase	, lstrip=__lowerCAmelCase	, rstrip=__lowerCAmelCase		) if isinstance(__lowerCAmelCase	, __lowerCAmelCase		) else value
            lowercase														=			value

      def        A__ (		self	, *__lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			kwargs.get("""is_split_into_words"""	, __lowerCAmelCase		)

            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(*__lowerCAmelCase	, **__lowerCAmelCase		)

      def        A__ (		self	, *__lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			kwargs.get("""is_split_into_words"""	, __lowerCAmelCase		)

            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(*__lowerCAmelCase	, **__lowerCAmelCase		)

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = None		):







            """simple docstring"""



            lowercase														=			self._tokenizer.model.save(__lowerCAmelCase	, name=__lowerCAmelCase		)
            return tuple(__lowerCAmelCase		)

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase=None		):







            """simple docstring"""



            lowercase														=			[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	, __lowerCAmelCase	, __lowerCAmelCase = None		):







            """simple docstring"""



            lowercase														=			[self.sep_token_id]
            lowercase														=			[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]



