



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


SCREAMING_SNAKE_CASE     				=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE     				=						{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE     				=						{
    '''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'''
        ),
    },
}

SCREAMING_SNAKE_CASE     				=						{
    '''roberta-base''': 512,
    '''roberta-large''': 512,
    '''roberta-large-mnli''': 512,
    '''distilroberta-base''': 512,
    '''roberta-base-openai-detector''': 512,
    '''roberta-large-openai-detector''': 512,
}



class 	lowerCamelCase      (						UpperCamelCase__  ):







					'''simple docstring'''







					lowerCAmelCase_				:    List[str]									=  VOCAB_FILES_NAMES
					lowerCAmelCase_				:    Optional[int]									=  PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_				:    Optional[int]									=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_				:    Any									=  ["""input_ids""", """attention_mask"""]
					lowerCAmelCase_				:    Union[str, Any]									=  RobertaTokenizer



					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    ,	):
							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    ,	)

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

							UpperCAmelCase_						=				add_prefix_space

							UpperCAmelCase_						=				"post_processor"
							UpperCAmelCase_						=				getattr(self.backend_tokenizer    ,	lowerCAmelCase    ,	lowerCAmelCase     )
							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"    ,	lowerCAmelCase     ) != add_prefix_space:
											UpperCAmelCase_						=				add_prefix_space
											UpperCAmelCase_						=				True

									if state.get("trim_offsets"    ,	lowerCAmelCase     ) != trim_offsets:
											UpperCAmelCase_						=				trim_offsets
											UpperCAmelCase_						=				True

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



					@property
					def    A__		(			self     ):
							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     ):
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else value
							UpperCAmelCase_						=				value



					def    A__		(			self    ,	*lowerCAmelCase    ,	**lowerCAmelCase     ):
							UpperCAmelCase_						=				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    A__		(			self    ,	*lowerCAmelCase    ,	**lowerCAmelCase     ):
							UpperCAmelCase_						=				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    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							UpperCAmelCase_						=				self._tokenizer.model.save(lowerCAmelCase    ,	name=lowerCAmelCase     )
							return tuple(lowerCAmelCase     )



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase=None     ):
							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    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							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]







def snake_case__  (			__SCREAMING_SNAKE_CASE )		->							str:
		UpperCAmelCase_						=				int(__SCREAMING_SNAKE_CASE )
		if decimal in (0, 1):  # Exit cases for the recursion
				return str(__SCREAMING_SNAKE_CASE )
		UpperCAmelCase_					,						UpperCAmelCase_						=				divmod(__SCREAMING_SNAKE_CASE			,     2 )
		return binary_recursive(__SCREAMING_SNAKE_CASE ) + str(__SCREAMING_SNAKE_CASE )







def snake_case__  (			__SCREAMING_SNAKE_CASE )		->							str:
		UpperCAmelCase_						=				str(__SCREAMING_SNAKE_CASE ).strip()
		if not number:
				raise ValueError("No input value was provided" )
		UpperCAmelCase_						=				"-" if number.startswith("-" ) else ""
		UpperCAmelCase_						=				number.lstrip("-" )
		if not number.isnumeric():
				raise ValueError("Input value is not an integer" )
		return f'''{negative}0b{binary_recursive(int(__SCREAMING_SNAKE_CASE ) )}'''


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

			testmod()

