





'''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_roberta import RobertaTokenizer


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

lowerCAmelCase_					:    Optional[Any]      	=			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase_					:    Dict      	=			{
    'vocab_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/vocab.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/vocab.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/vocab.json',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/merges.txt',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/merges.txt',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/merges.txt',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'
        ),
    },
    'tokenizer_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/tokenizer.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/tokenizer.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json',
        'roberta-base-openai-detector': (
            'https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json'
        ),
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json'
        ),
    },
}

lowerCAmelCase_					:    Union[str, Any]      	=			{
    'roberta-base': 5_12,
    'roberta-large': 5_12,
    'roberta-large-mnli': 5_12,
    'distilroberta-base': 5_12,
    'roberta-base-openai-detector': 5_12,
    'roberta-large-openai-detector': 5_12,
}
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            =RobertaTokenizer




				def __init__(  self     :					Any					,				__a     :					Tuple=None					,				__a     :					List[Any]=None					,				__a     :					Optional[int]=None					,				__a     :					List[Any]="replace"					,				__a     :					str="<s>"					,				__a     :					int="</s>"					,				__a     :					Tuple="</s>"					,				__a     :					int="<s>"					,				__a     :					str="<unk>"					,				__a     :					int="<pad>"					,				__a     :					List[Any]="<mask>"					,				__a     :					int=False					,				__a     :					List[Any]=True					,				**__a     :					Union[str, Any]					,				):
								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					,				)

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

								_a								= add_prefix_space

								_a								= "post_processor"
								_a								= getattr(self.backend_tokenizer					,				__lowerCAmelCase					,				__lowerCAmelCase					)
								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"					,				__lowerCAmelCase					) != add_prefix_space:
																_a								= add_prefix_space
																_a								= True

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

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




				@property
				def   UpperCamelCase__   (  self     :					Tuple					):


								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     :					Any					,				__a     :					Any					):
								_a								= AddedToken(__lowerCAmelCase					,				lstrip=__lowerCAmelCase					,				rstrip=__lowerCAmelCase					) if isinstance(__lowerCAmelCase					,				__lowerCAmelCase					) else value
								_a								= value




				def   UpperCamelCase__   (  self     :					Dict					,				*__a     :					Union[str, Any]					,				**__a     :					Optional[int]					):
								_a								= kwargs.get("is_split_into_words"					,				__lowerCAmelCase					)
								assert self.add_prefix_space or not is_split_into_words, (
								    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   UpperCamelCase__   (  self     :					List[Any]					,				*__a     :					str					,				**__a     :					int					):
								_a								= kwargs.get("is_split_into_words"					,				__lowerCAmelCase					)

								assert self.add_prefix_space or not is_split_into_words, (
								    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   UpperCamelCase__   (  self     :					str					,				__a     :					Any					,				__a     :					int = None					):
								_a								= self._tokenizer.model.save(__lowerCAmelCase					,				name=__lowerCAmelCase					)
								return tuple(__lowerCAmelCase					)




				def   UpperCamelCase__   (  self     :					int					,				__a     :					Tuple					,				__a     :					Dict=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     :					List[str]					,				__a     :					Union[str, Any]					,				__a     :					List[Any] = 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'''




from string import ascii_lowercase, ascii_uppercase






def 				snake_case__							(			_A:					str )    ->	str:

		'''simple docstring'''


		if not sentence:
				return ""
		lowerCAmelCase   					=  dict(zip(_A      ,   _A ) )
		return lower_to_upper.get(sentence[0]      ,   sentence[0] ) + sentence[1:]


if __name__ == "__main__":
						from doctest import testmod

						testmod()




