





'''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_					:    int      	=			logging.get_logger(__name__)


lowerCAmelCase_					:    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
lowerCAmelCase_					:    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',
    },
}

lowerCAmelCase_					:    Any      	=			{
    'facebook/bart-base': 10_24,
    'facebook/bart-large': 10_24,
    'facebook/bart-large-mnli': 10_24,
    'facebook/bart-large-cnn': 10_24,
    'facebook/bart-large-xsum': 10_24,
    'yjernite/bart_eli5': 10_24,
}
class 				__SCREAMING_SNAKE_CASE  (lowerCamelCase_      ):






				"""simple docstring"""







				__a            =VOCAB_FILES_NAMES
				__a            =PRETRAINED_VOCAB_FILES_MAP
				__a            =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__a            =['input_ids', 'attention_mask']
				__a            =BartTokenizer




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

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

								_a								= add_prefix_space

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

												_a								= False

												if state.get("add_prefix_space"					,				__a					) != add_prefix_space:
																_a								= add_prefix_space
																_a								= True

												if state.get("trim_offsets"					,				__a					) != trim_offsets:
																_a								= trim_offsets
																_a								= True

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




				@property
				def   UpperCamelCase__   (  self     :					Any					):
								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     :					str					,				__a     :					Dict					):
								_a								= AddedToken(__a					,				lstrip=__a					,				rstrip=__a					) if isinstance(__a					,				__a					) else value
								_a								= value




				def   UpperCamelCase__   (  self     :					List[str]					,				*__a     :					Union[str, Any]					,				**__a     :					Any					):
								_a								= kwargs.get("is_split_into_words"					,				__a					)

								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(*__a					,				**__a					)




				def   UpperCamelCase__   (  self     :					Optional[int]					,				*__a     :					str					,				**__a     :					Optional[Any]					):
								_a								= kwargs.get("is_split_into_words"					,				__a					)

								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(*__a					,				**__a					)




				def   UpperCamelCase__   (  self     :					List[str]					,				__a     :					str					,				__a     :					Optional[str] = None					):
								_a								= self._tokenizer.model.save(__a					,				name=__a					)
								return tuple(__a					)




				def   UpperCamelCase__   (  self     :					Union[str, Any]					,				__a     :					List[str]					,				__a     :					Tuple=None					):
								_a								= [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     :					Union[str, Any]					,				__a     :					List[int]					,				__a     :					Optional[List[int]] = None					):
								_a								= [self.sep_token_id]
								_a								= [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  _lowerCamelCase				( lowercase						:      bytes						)	->	str:
				return "".join([hex(lowercase						)[2:].zfill(2						).upper() for byte in list(lowercase						)]						)






def  _lowerCamelCase				( lowercase						:      str						)	->	bytes:
				# Check data validity, following RFC3548
				# https://www.ietf.org/rfc/rfc3548.txt
				if (len(lowercase						) % 2) != 0:
								raise ValueError(
								    "Base16 encoded data is invalid:\nData does not have an even number of hex digits."						)
				# Check the character set - the standard base16 alphabet
				# is uppercase according to RFC3548 section 6
				if not set(lowercase						) <= set("0123456789ABCDEF"						):
								raise ValueError(
								    "Base16 encoded data is invalid:\nData is not uppercase hex or it contains invalid characters."						)
				# For every two hexadecimal digits (= a byte), turn it into an integer.
				# Then, string the result together into bytes, and return it.
				return bytes(int(data[i] + data[i + 1]    ,							16						) for i in range(0    ,							len(lowercase						)    ,							2						)						)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
