"""simple docstring"""






import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
       from transformers.pipelines.conversational import Conversation


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

__lowerCAmelCase					: Optional[int]        ={"""tokenizer_file""": """tokenizer.json"""}

__lowerCAmelCase					: Tuple        ={
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}







class 				_A		( snake_case_			):
      snake_case__    :     Optional[Any]													=			VOCAB_FILES_NAMES
      snake_case__    :     Optional[Any]													=			PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :     Optional[int]													=			["""input_ids""", """attention_mask"""]
      snake_case__    :     Optional[int]													=			None

      def __init__(		self	, __lowerCAmelCase=None	, __lowerCAmelCase=None	, __lowerCAmelCase=None	, __lowerCAmelCase="<unk>"	, __lowerCAmelCase="<s>"	, __lowerCAmelCase="</s>"	, __lowerCAmelCase="<pad>"	, __lowerCAmelCase=False	, __lowerCAmelCase=False	, **__lowerCAmelCase	, ):







            """simple docstring"""



            super().__init__(
                __lowerCAmelCase	, __lowerCAmelCase	, tokenizer_file=__lowerCAmelCase	, unk_token=__lowerCAmelCase	, bos_token=__lowerCAmelCase	, eos_token=__lowerCAmelCase	, pad_token=__lowerCAmelCase	, add_prefix_space=__lowerCAmelCase	, clean_up_tokenization_spaces=__lowerCAmelCase	, **__lowerCAmelCase	, )
            lowercase														=			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
            if pre_tok_state.get("""add_prefix_space"""	, __lowerCAmelCase		) != add_prefix_space:
                  lowercase														=			getattr(__lowerCAmelCase	, pre_tok_state.pop("""type"""		)		)
                  lowercase														=			add_prefix_space
                  lowercase														=			pre_tok_class(**__lowerCAmelCase		)

            lowercase														=			add_prefix_space

      def        A__ (		self	, *__lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			kwargs.get("""is_split_into_words"""	, __lowerCAmelCase		)
            if not (self.add_prefix_space or not is_split_into_words):
                  raise Exception(
                      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		):







            """simple docstring"""



            lowercase														=			kwargs.get("""is_split_into_words"""	, __lowerCAmelCase		)

            if not (self.add_prefix_space or not is_split_into_words):
                  raise Exception(
                      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		):







            """simple docstring"""



            lowercase														=			self._tokenizer.model.save(__lowerCAmelCase	, name=__lowerCAmelCase		)
            return tuple(__lowerCAmelCase		)







      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            lowercase														=			[]
            for is_user, text in conversation.iter_texts():
                  input_ids.extend(self.encode(__lowerCAmelCase	, add_special_tokens=__lowerCAmelCase		) + [self.eos_token_id]		)

            if len(__lowerCAmelCase		) > self.model_max_length:
                  lowercase														=			input_ids[-self.model_max_length :]
            return input_ids




"""simple docstring"""






def     UpperCAmelCase__ (       lowerCAmelCase__  :int	)				->					bool:
      '''simple docstring'''


      lowercase														=			(1 + 2_4 * n) ** 0.5
      return ((1 + root) / 6) % 1 == 0


def     UpperCAmelCase__ (       lowerCAmelCase__  :int = 5_0_0_0	)				->					int:
      '''simple docstring'''


      lowercase														=			[(i * (3 * i - 1)) // 2 for i in range(1      ,	lowerCAmelCase__	)]
      for i, pentagonal_i in enumerate(lowerCAmelCase__	):
            for j in range(lowerCAmelCase__      ,	len(lowerCAmelCase__	)	):
                  lowercase														=			pentagonal_nums[j]
                  lowercase														=			pentagonal_i + pentagonal_j
                  lowercase														=			pentagonal_j - pentagonal_i
                  if is_pentagonal(lowerCAmelCase__	) and is_pentagonal(lowerCAmelCase__	):
                        return b

      return -1


if __name__ == "__main__":
       print(F"""{solution() = }""")



