
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


_UpperCAmelCase      :				str          = logging.get_logger(__name__)


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

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

_UpperCAmelCase      :				List[Any]          = {
    "facebook/bart-base": 1_024,
    "facebook/bart-large": 1_024,
    "facebook/bart-large-mnli": 1_024,
    "facebook/bart-large-cnn": 1_024,
    "facebook/bart-large-xsum": 1_024,
    "yjernite/bart_eli5": 1_024,
}


class        lowercase      (	_UpperCAmelCase     ):
		__lowercase : Optional[Any]			  =       VOCAB_FILES_NAMES
		__lowercase : Any			  =       PRETRAINED_VOCAB_FILES_MAP
		__lowercase : List[Any]			  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase : Any			  =       ["input_ids", "attention_mask"]
		__lowercase : Union[str, Any]			  =       BartTokenizer



		def __init__(				self       ,   A_=None       ,   A_=None       ,   A_=None       ,   A_="replace"       ,   A_="<s>"       ,   A_="</s>"       ,   A_="</s>"       ,   A_="<s>"       ,   A_="<unk>"       ,   A_="<pad>"       ,   A_="<mask>"       ,   A_=False       ,   A_=True       ,   **A_       ,   )						->      Optional[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__       ,   )

				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 __UpperCamelCase				(				self )						->      List[Any]:
				"""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 __UpperCamelCase				(				self       ,   A_ )						->      int:
				"""simple docstring"""
				UpperCamelCase						=  AddedToken(lowercase__       ,   lstrip=lowercase__       ,   rstrip=lowercase__ ) if isinstance(lowercase__       ,   lowercase__ ) else value
				UpperCamelCase						=  value



		def __UpperCamelCase				(				self       ,   *A_       ,   **A_ )						->      Tuple:
				"""simple docstring"""
				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 __UpperCamelCase				(				self       ,   *A_       ,   **A_ )						->      Dict:
				"""simple docstring"""
				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 __UpperCamelCase				(				self       ,   A_       ,   A_ = None )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  self._tokenizer.model.save(lowercase__       ,   name=lowercase__ )
				return tuple(lowercase__ )



		def __UpperCamelCase				(				self       ,   A_       ,   A_=None )						->      Union[str, Any]:
				"""simple docstring"""
				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 __UpperCamelCase				(				self       ,   A_       ,   A_ = None )						->      str:
				"""simple docstring"""
				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]




import re


def    A (      lowercase				)     ->						str:
		'''simple docstring'''

		if len(re.findall('[ATCG]'					, lowercase				)				) != len(lowercase				):
				raise ValueError('Invalid Strand'				)

		return dna.translate(dna.maketrans('ATCG'					, 'TAGC'				)				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
