
'''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__ :			Tuple											=		logging.get_logger(__name__)

UpperCAmelCase__ :			Optional[int]											=		{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

UpperCAmelCase__ :			List[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"
        ),
    },
}

UpperCAmelCase__ :			Tuple											=		{
    "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  A  (						SCREAMING_SNAKE_CASE__     ):
	snake_case__   :Dict   =  VOCAB_FILES_NAMES
	snake_case__   :str   =  PRETRAINED_VOCAB_FILES_MAP
	snake_case__   :Dict   =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case__   :Optional[Any]   =  ['input_ids', 'attention_mask']
	snake_case__   :Optional[int]   =  RobertaTokenizer





	def __init__(       self      :							Union[str, Any]   ,				__magic_name__      :							Any=None   ,				__magic_name__      :							Union[str, Any]=None   ,				__magic_name__      :							Tuple=None   ,				__magic_name__      :							int="replace"   ,				__magic_name__      :							Optional[int]="<s>"   ,				__magic_name__      :							List[Any]="</s>"   ,				__magic_name__      :							Tuple="</s>"   ,				__magic_name__      :							int="<s>"   ,				__magic_name__      :							Optional[int]="<unk>"   ,				__magic_name__      :							Tuple="<pad>"   ,				__magic_name__      :							List[str]="<mask>"   ,				__magic_name__      :							Dict=False   ,				__magic_name__      :							Union[str, Any]=True   ,				**__magic_name__      :							int   ,				):


				"""simple docstring"""

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

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

				lowerCAmelCase__										=				add_prefix_space

				lowerCAmelCase__										=				"post_processor"
				lowerCAmelCase__										=				getattr(self.backend_tokenizer   ,				__magic_name__   ,				__magic_name__				)
				if tokenizer_component_instance:
							lowerCAmelCase__										=				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__										=				tuple(state["sep"]				)
							if "cls" in state:
										lowerCAmelCase__										=				tuple(state["cls"]				)

							lowerCAmelCase__										=				False

							if state.get("add_prefix_space"   ,				__magic_name__				) != add_prefix_space:
										lowerCAmelCase__										=				add_prefix_space
										lowerCAmelCase__										=				True

							if state.get("trim_offsets"   ,				__magic_name__				) != trim_offsets:
										lowerCAmelCase__										=				trim_offsets
										lowerCAmelCase__										=				True

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





	@property
	def 				__SCREAMING_SNAKE_CASE	(       self      :							int				):


				"""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 				__SCREAMING_SNAKE_CASE	(       self      :							List[str]   ,				__magic_name__      :							Tuple				):


				"""simple docstring"""

				lowerCAmelCase__										=				AddedToken(__magic_name__   ,				lstrip=__magic_name__   ,				rstrip=__magic_name__				) if isinstance(__magic_name__   ,				__magic_name__				) else value
				lowerCAmelCase__										=				value





	def 				__SCREAMING_SNAKE_CASE	(       self      :							int   ,				*__magic_name__      :							Union[str, Any]   ,				**__magic_name__      :							Any				):


				"""simple docstring"""

				lowerCAmelCase__										=				kwargs.get("is_split_into_words"   ,				__magic_name__				)
				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(*__magic_name__   ,				**__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Any   ,				*__magic_name__      :							Any   ,				**__magic_name__      :							Tuple				):


				"""simple docstring"""

				lowerCAmelCase__										=				kwargs.get("is_split_into_words"   ,				__magic_name__				)

				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(*__magic_name__   ,				**__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							str   ,				__magic_name__      :							str   ,				__magic_name__      :							Optional[str] = None				):


				"""simple docstring"""

				lowerCAmelCase__										=				self._tokenizer.model.save(__magic_name__   ,				name=__magic_name__				)
				return tuple(__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Tuple   ,				__magic_name__      :							Optional[int]   ,				__magic_name__      :							Optional[int]=None				):


				"""simple docstring"""

				lowerCAmelCase__										=				[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 				__SCREAMING_SNAKE_CASE	(       self      :							Tuple   ,				__magic_name__      :							List[int]   ,				__magic_name__      :							Optional[List[int]] = None				):


				"""simple docstring"""

				lowerCAmelCase__										=				[self.sep_token_id]
				lowerCAmelCase__										=				[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'''



import sys

__UpperCamelCase   :							List[str]         =   (
    """73167176531330624919225119674426574742355349194934"""
    """96983520312774506326239578318016984801869478851843"""
    """85861560789112949495459501737958331952853208805511"""
    """12540698747158523863050715693290963295227443043557"""
    """66896648950445244523161731856403098711121722383113"""
    """62229893423380308135336276614282806444486645238749"""
    """30358907296290491560440772390713810515859307960866"""
    """70172427121883998797908792274921901699720888093776"""
    """65727333001053367881220235421809751254540594752243"""
    """52584907711670556013604839586446706324415722155397"""
    """53697817977846174064955149290862569321978468622482"""
    """83972241375657056057490261407972968652414535100474"""
    """82166370484403199890008895243450658541227588666881"""
    """16427171479924442928230863465674813919123162824586"""
    """17866458359124566529476545682848912883142607690042"""
    """24219022671055626321111109370544217506941658960408"""
    """07198403850962455444362981230987879927244284909188"""
    """84580156166097919133875499200524063689912560717606"""
    """05886116467109405077541002256983155200055935729725"""
    """71636269561882670428252483600823257530420752963450"""
)



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str = N     )	->      int:

   """simple docstring"""
   __a					  =     -sys.maxsize - 1
   for i in range(len(SCREAMING_SNAKE_CASE__     ) - 12     ):
      __a					  =     1
      for j in range(13     ):
         product *= int(n[i + j]     )
      if product > largest_product:
         __a					  =     product
   return largest_product


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