



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


_UpperCAmelCase       :	Dict            =logging.get_logger(__name__)

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

_UpperCAmelCase       :	int            ={
    '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'
        ),
    },
}

_UpperCAmelCase       :	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__):




		'''simple docstring'''



		snake_case_			=VOCAB_FILES_NAMES
		snake_case_			=PRETRAINED_VOCAB_FILES_MAP
		snake_case_			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		snake_case_			=["""input_ids""", """attention_mask"""]
		snake_case_			=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	,)  ->    Optional[int]:

						"""simple docstring"""






						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	,)

						lowerCAmelCase__  :       Optional[Any]				=  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
						if pre_tok_state.get('''add_prefix_space'''	,__lowerCamelCase				) != add_prefix_space:
										lowerCAmelCase__  :       Optional[Any]				=  getattr(__lowerCamelCase	,pre_tok_state.pop('''type'''				)				)
										lowerCAmelCase__  :       Tuple				=  add_prefix_space
										lowerCAmelCase__  :       Tuple				=  pre_tok_class(**__lowerCamelCase				)

						lowerCAmelCase__  :       Tuple				=  add_prefix_space

						lowerCAmelCase__  :       List[Any]				=  '''post_processor'''
						lowerCAmelCase__  :       str				=  getattr(self.backend_tokenizer	,__lowerCamelCase	,__lowerCamelCase				)
						if tokenizer_component_instance:
										lowerCAmelCase__  :       Union[str, Any]				=  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:
														lowerCAmelCase__  :       str				=  tuple(state['''sep''']				)
										if "cls" in state:
														lowerCAmelCase__  :       Union[str, Any]				=  tuple(state['''cls''']				)

										lowerCAmelCase__  :       Optional[Any]				=  False

										if state.get('''add_prefix_space'''	,__lowerCamelCase				) != add_prefix_space:
														lowerCAmelCase__  :       Dict				=  add_prefix_space
														lowerCAmelCase__  :       Any				=  True

										if state.get('''trim_offsets'''	,__lowerCamelCase				) != trim_offsets:
														lowerCAmelCase__  :       str				=  trim_offsets
														lowerCAmelCase__  :       List[str]				=  True

										if changes_to_apply:
														lowerCAmelCase__  :       Optional[int]				=  getattr(__lowerCamelCase	,state.pop('''type'''				)				)
														lowerCAmelCase__  :       Any				=  component_class(**__lowerCamelCase				)
														setattr(self.backend_tokenizer	,__lowerCamelCase	,__lowerCamelCase				)



		@property
		def 	lowerCAmelCase__   (self				)  ->    str:

						"""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 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Any:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  AddedToken(__lowerCamelCase	,lstrip=__lowerCamelCase	,rstrip=__lowerCamelCase				) if isinstance(__lowerCamelCase	,__lowerCamelCase				) else value
						lowerCAmelCase__  :       Dict				=  value



		def 	lowerCAmelCase__   (self	,*__lowerCamelCase	,**__lowerCamelCase				)  ->    BatchEncoding:

						"""simple docstring"""






						lowerCAmelCase__  :       List[str]				=  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 	lowerCAmelCase__   (self	,*__lowerCamelCase	,**__lowerCamelCase				)  ->    BatchEncoding:

						"""simple docstring"""






						lowerCAmelCase__  :       Optional[Any]				=  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 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    Tuple[str]:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  self._tokenizer.model.save(__lowerCamelCase	,name=__lowerCamelCase				)
						return tuple(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase=None				)  ->    Optional[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       Union[str, Any]				=  [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 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    List[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  [self.sep_token_id]
						lowerCAmelCase__  :       Any				=  [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 			lowerCAmelCase__	(					lowerCamelCase_	:	int):





				'''simple docstring'''

				if not isinstance(lowerCamelCase_ ,lowerCamelCase_):
								lowerCAmelCase__  :       Dict				=  f"""Input value of [number={number}] must be an integer"""
								raise TypeError(lowerCamelCase_)

				if number < 1:
								lowerCAmelCase__  :       Any				=  f"""Input value of [number={number}] must be > 0"""
								raise ValueError(lowerCamelCase_)

				lowerCAmelCase__  :       List[str]				=  1

				for i in range(1 ,lowerCamelCase_):
								current_number *= 4 * i - 2
								current_number //= i + 1

				return current_number


if __name__ == "__main__":
							import doctest

							doctest.testmod()

