
'''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


_lowercase :  Tuple    							=       logging.get_logger(__name__)

_lowercase :  Dict    							=       {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_lowercase :  Union[str, Any]    							=       {
    "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"
        ),
    },
}

_lowercase :  Union[str, Any]    							=       {
    "roberta-base": 5_1_2,
    "roberta-large": 5_1_2,
    "roberta-large-mnli": 5_1_2,
    "distilroberta-base": 5_1_2,
    "roberta-base-openai-detector": 5_1_2,
    "roberta-large-openai-detector": 5_1_2,
}






class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     VOCAB_FILES_NAMES
					lowerCAmelCase_        =     PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_        =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_        =     ['''input_ids''', '''attention_mask''']
					lowerCAmelCase_        =     RobertaTokenizer






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


											"""simple docstring"""





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

											lowercase_	:     List[str]													=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
											if pre_tok_state.get('''add_prefix_space'''				,							__SCREAMING_SNAKE_CASE		) != add_prefix_space:
																	lowercase_	:     Optional[int]													=       getattr(__SCREAMING_SNAKE_CASE				,							pre_tok_state.pop('''type'''		)		)
																	lowercase_	:     Dict													=       add_prefix_space
																	lowercase_	:     Optional[int]													=       pre_tok_class(**__SCREAMING_SNAKE_CASE		)

											lowercase_	:     List[Any]													=       add_prefix_space

											lowercase_	:     Tuple													=       '''post_processor'''
											lowercase_	:     Any													=       getattr(self.backend_tokenizer				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		)
											if tokenizer_component_instance:
																	lowercase_	:     str													=       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_	:     List[str]													=       tuple(state['''sep''']		)
																	if "cls" in state:
																							lowercase_	:     List[str]													=       tuple(state['''cls''']		)

																	lowercase_	:     List[Any]													=       False

																	if state.get('''add_prefix_space'''				,							__SCREAMING_SNAKE_CASE		) != add_prefix_space:
																							lowercase_	:     int													=       add_prefix_space
																							lowercase_	:     Optional[int]													=       True

																	if state.get('''trim_offsets'''				,							__SCREAMING_SNAKE_CASE		) != trim_offsets:
																							lowercase_	:     Tuple													=       trim_offsets
																							lowercase_	:     int													=       True

																	if changes_to_apply:
																							lowercase_	:     Tuple													=       getattr(__SCREAMING_SNAKE_CASE				,							state.pop('''type'''		)		)
																							lowercase_	:     Optional[Any]													=       component_class(**__SCREAMING_SNAKE_CASE		)
																							setattr(self.backend_tokenizer				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		)






					@property
					def 	_snake_case    (   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 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     List[Any]													=       AddedToken(__SCREAMING_SNAKE_CASE				,							lstrip=__SCREAMING_SNAKE_CASE				,							rstrip=__SCREAMING_SNAKE_CASE		) if isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		) else value
											lowercase_	:     Union[str, Any]													=       value






					def 	_snake_case    (   self				,							*__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Optional[Any]													=       kwargs.get('''is_split_into_words'''				,							__SCREAMING_SNAKE_CASE		)
											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(*__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self				,							*__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Tuple													=       kwargs.get('''is_split_into_words'''				,							__SCREAMING_SNAKE_CASE		)

											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(*__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											lowercase_	:     Optional[Any]													=       self._tokenizer.model.save(__SCREAMING_SNAKE_CASE				,							name=__SCREAMING_SNAKE_CASE		)
											return tuple(__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE=None		):


											"""simple docstring"""





											lowercase_	:     List[str]													=       [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 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											lowercase_	:     Optional[int]													=       [self.sep_token_id]
											lowercase_	:     int													=       [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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: int							):



						"""simple docstring"""





						lowercase_	:     Optional[int]													=       int(__SCREAMING_SNAKE_CASE							)
						if decimal in (0, 1):  # Exit cases for the recursion
												return str(__SCREAMING_SNAKE_CASE							)
						lowercase_						, lowercase_	:     List[str]													=       divmod(__SCREAMING_SNAKE_CASE      ,      2							)
						return binary_recursive(__SCREAMING_SNAKE_CASE							) + str(__SCREAMING_SNAKE_CASE							)
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						lowercase_	:     str													=       str(__SCREAMING_SNAKE_CASE							).strip()
						if not number:
												raise ValueError('''No input value was provided'''							)
						lowercase_	:     Optional[int]													=       '''-''' if number.startswith('''-'''							) else ''''''
						lowercase_	:     Union[str, Any]													=       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()



