'''simple docstring'''




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


__SCREAMING_SNAKE_CASE       :     str     =  logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE       :     str     =  {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__SCREAMING_SNAKE_CASE       :     Dict     =  {
    """vocab_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt""",
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-german-cased""": (
            """https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
    },
}

__SCREAMING_SNAKE_CASE       :     Optional[Any]     =  {
    """distilbert-base-uncased""": 512,
    """distilbert-base-uncased-distilled-squad""": 512,
    """distilbert-base-cased""": 512,
    """distilbert-base-cased-distilled-squad""": 512,
    """distilbert-base-german-cased""": 512,
    """distilbert-base-multilingual-cased""": 512,
}


__SCREAMING_SNAKE_CASE       :     List[Any]     =  {
    """distilbert-base-uncased""": {"""do_lower_case""": True},
    """distilbert-base-uncased-distilled-squad""": {"""do_lower_case""": True},
    """distilbert-base-cased""": {"""do_lower_case""": False},
    """distilbert-base-cased-distilled-squad""": {"""do_lower_case""": False},
    """distilbert-base-german-cased""": {"""do_lower_case""": False},
    """distilbert-base-multilingual-cased""": {"""do_lower_case""": False},
}

class 	lowerCamelCase_	(snake_case__    ):
      '''simple docstring'''

      __UpperCamelCase:  Union[str, Any]						=						VOCAB_FILES_NAMES
      __UpperCamelCase:  str						=						PRETRAINED_VOCAB_FILES_MAP
      __UpperCamelCase:  Optional[Any]						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCamelCase:  Any						=						PRETRAINED_INIT_CONFIGURATION
      __UpperCamelCase:  str						=						["input_ids", "attention_mask"]
      __UpperCamelCase:  List[str]						=						DistilBertTokenizer




      def __init__(       self						:				str						,					A						:				int=None						,					A						:				Tuple=None						,					A						:				Tuple=True						,					A						:				Dict="[UNK]"						,					A						:				List[Any]="[SEP]"						,					A						:				Optional[Any]="[PAD]"						,					A						:				Dict="[CLS]"						,					A						:				Tuple="[MASK]"						,					A						:				str=True						,					A						:				Dict=None						,					**A						:				List[Any]						,					):
             super().__init__(
                 A						,					tokenizer_file=A						,					do_lower_case=A						,					unk_token=A						,					sep_token=A						,					pad_token=A						,					cls_token=A						,					mask_token=A						,					tokenize_chinese_chars=A						,					strip_accents=A						,					**A						,					)

             _UpperCAmelCase     :  str							      =    json.loads(self.backend_tokenizer.normalizer.__getstate__()       )
             if (
                 normalizer_state.get("lowercase"						,					A       ) != do_lower_case
                 or normalizer_state.get("strip_accents"						,					A       ) != strip_accents
                 or normalizer_state.get("handle_chinese_chars"						,					A       ) != tokenize_chinese_chars
             ):
                    _UpperCAmelCase     :  Dict							      =    getattr(A						,					normalizer_state.pop("type"       )       )
                    _UpperCAmelCase     :  int							      =    do_lower_case
                    _UpperCAmelCase     :  Optional[int]							      =    strip_accents
                    _UpperCAmelCase     :  str							      =    tokenize_chinese_chars
                    _UpperCAmelCase     :  List[Any]							      =    normalizer_class(**A       )

             _UpperCAmelCase     :  Dict							      =    do_lower_case




      def      _A	(       self						:				List[Any]						,					A						:				Tuple						,					A						:				Any=None       ):
             _UpperCAmelCase     :  Optional[int]							      =    [self.cls_token_id] + token_ids_a + [self.sep_token_id]

             if token_ids_a:
                    output += token_ids_a + [self.sep_token_id]

             return output




      def      _A	(       self						:				int						,					A						:				List[int]						,					A						:				Optional[List[int]] = None       ):
             _UpperCAmelCase     :  Any							      =    [self.sep_token_id]
             _UpperCAmelCase     :  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       ) * [0] + len(token_ids_a + sep       ) * [1]





      def      _A	(       self						:				Dict						,					A						:				str						,					A						:				Optional[str] = None       ):
             _UpperCAmelCase     :  Any							      =    self._tokenizer.model.save(A						,					name=A       )
             return tuple(A       )





import sys

snake_case				:    int       				=     (
    '''73167176531330624919225119674426574742355349194934'''
    '''96983520312774506326239578318016984801869478851843'''
    '''85861560789112949495459501737958331952853208805511'''
    '''12540698747158523863050715693290963295227443043557'''
    '''66896648950445244523161731856403098711121722383113'''
    '''62229893423380308135336276614282806444486645238749'''
    '''30358907296290491560440772390713810515859307960866'''
    '''70172427121883998797908792274921901699720888093776'''
    '''65727333001053367881220235421809751254540594752243'''
    '''52584907711670556013604839586446706324415722155397'''
    '''53697817977846174064955149290862569321978468622482'''
    '''83972241375657056057490261407972968652414535100474'''
    '''82166370484403199890008895243450658541227588666881'''
    '''16427171479924442928230863465674813919123162824586'''
    '''17866458359124566529476545682848912883142607690042'''
    '''24219022671055626321111109370544217506941658960408'''
    '''07198403850962455444362981230987879927244284909188'''
    '''84580156166097919133875499200524063689912560717606'''
    '''05886116467109405077541002256983155200055935729725'''
    '''71636269561882670428252483600823257530420752963450'''
)
def 				__lowerCamelCase						( UpperCAmelCase_						:		str = N						):




      """simple docstring"""





      a						:Optional[Any] 							=       -sys.maxsize - 1
      for i in range(len(UpperCAmelCase_						) - 12						):
            a						:Dict 							=       1
            for j in range(13						):
                  product *= int(n[i + j]						)
            if product > largest_product:
                  a						:str 							=       product
      return largest_product


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





