'''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


UpperCamelCase_      	=	logging.get_logger(__name__)

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

UpperCamelCase_      	=	{
    "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_      	=	{
    "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(							lowercase_					):
						A_			:							List[Any]     		= VOCAB_FILES_NAMES
						A_			:							List[Any]     		= PRETRAINED_VOCAB_FILES_MAP
						A_			:							Union[str, Any]     		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						A_			:							Dict     		= ['input_ids', 'attention_mask']
						A_			:							Dict     		= RobertaTokenizer




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

													SCREAMING_SNAKE_CASE__     :int						    = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
													if pre_tok_state.get('add_prefix_space'							,							UpperCamelCase_      ) != add_prefix_space:
																				SCREAMING_SNAKE_CASE__     :str						    = getattr(UpperCamelCase_							,							pre_tok_state.pop('type'      )      )
																				SCREAMING_SNAKE_CASE__     :Any						    = add_prefix_space
																				SCREAMING_SNAKE_CASE__     :Dict						    = pre_tok_class(**UpperCamelCase_      )

													SCREAMING_SNAKE_CASE__     :Optional[int]						    = add_prefix_space

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

																				SCREAMING_SNAKE_CASE__     :List[str]						    = False

																				if state.get('add_prefix_space'							,							UpperCamelCase_      ) != add_prefix_space:
																											SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = add_prefix_space
																											SCREAMING_SNAKE_CASE__     :Optional[Any]						    = True

																				if state.get('trim_offsets'							,							UpperCamelCase_      ) != trim_offsets:
																											SCREAMING_SNAKE_CASE__     :Optional[int]						    = trim_offsets
																											SCREAMING_SNAKE_CASE__     :List[str]						    = True

																				if changes_to_apply:
																											SCREAMING_SNAKE_CASE__     :Optional[int]						    = getattr(UpperCamelCase_							,							state.pop('type'      )      )
																											SCREAMING_SNAKE_CASE__     :str						    = component_class(**UpperCamelCase_      )
																											setattr(self.backend_tokenizer							,							UpperCamelCase_							,							UpperCamelCase_      )




						@property
						def      __lowerCamelCase       (    self :       str      )     ->				List[str]:



													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 :       str							,							UpperCamelCase_ :       Tuple      )     ->				Union[str, Any]:
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = AddedToken(UpperCamelCase_							,							lstrip=UpperCamelCase_							,							rstrip=UpperCamelCase_      ) if isinstance(UpperCamelCase_							,							UpperCamelCase_      ) else value
													SCREAMING_SNAKE_CASE__     :Tuple						    = value




						def      __lowerCamelCase       (    self :       Tuple							,							*UpperCamelCase_ :       Optional[Any]							,							**UpperCamelCase_ :       Dict      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :int						    = kwargs.get('is_split_into_words'							,							UpperCamelCase_      )
													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(*UpperCamelCase_							,							**UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Union[str, Any]							,							*UpperCamelCase_ :       Optional[int]							,							**UpperCamelCase_ :       Tuple      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :int						    = kwargs.get('is_split_into_words'							,							UpperCamelCase_      )

													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(*UpperCamelCase_							,							**UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       int							,							UpperCamelCase_ :       str							,							UpperCamelCase_ :       Optional[str] = None      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = self._tokenizer.model.save(UpperCamelCase_							,							name=UpperCamelCase_      )
													return tuple(UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Union[str, Any]							,							UpperCamelCase_ :       Any							,							UpperCamelCase_ :       int=None      )     ->				Union[str, Any]:
													SCREAMING_SNAKE_CASE__     :List[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 :       int							,							UpperCamelCase_ :       List[int]							,							UpperCamelCase_ :       Optional[List[int]] = None      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :Tuple						    = [self.sep_token_id]
													SCREAMING_SNAKE_CASE__     :str						    = [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       _SCREAMING_SNAKE_CASE    (			__lowercase :      int     )    ->   list[int]:





    """simple docstring"""

    if length <= 0 or not isinstance(__lowercase      ,					__lowercase     ):
        raise ValueError("""Length must be a positive integer."""     )
    return [n * (2 * n - 1) for n in range(__lowercase     )]


if __name__ == "__main__":
  print(hexagonal_numbers(length=5))
  print(hexagonal_numbers(length=10))




