






import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


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


__lowerCamelCase :      Union[str, Any]										=				{
    """vocab_file""": """vocab.json""",
    """tokenizer_config_file""": """tokenizer_config.json""",
    """merges_file""": """merges.txt""",
}

__lowerCamelCase :      Union[str, Any]										=				{
    """vocab_file""": {
        """facebook/s2t-wav2vec2-large-en-de""": (
            """https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"""
        ),
    },
    """tokenizer_config_file""": {
        """facebook/s2t-wav2vec2-large-en-de""": (
            """https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"""
        ),
    },
    """merges_file""": {
        """facebook/s2t-wav2vec2-large-en-de""": (
            """https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"""
        ),
    },
}

__lowerCamelCase :      List[str]										=				"""</w>"""
__lowerCamelCase :      int										=				"""@@ """







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Any       ):
	snake_case__			:				List[str]       =  set()
	snake_case__			:				str       =  word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)       )
		snake_case__			:				List[Any]       =  char
	return pairs


# Speech2Text2 has no max input length
__lowerCamelCase :      Any										=				{"""facebook/s2t-wav2vec2-large-en-de""": 1024}





class 							SCREAMING_SNAKE_CASE__						(    UpperCamelCase_						):





					"""simple docstring"""






					a_     =		VOCAB_FILES_NAMES
					a_     =		PRETRAINED_VOCAB_FILES_MAP
					a_     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					a_     =		["input_ids", "attention_mask"]



					def __init__( self					:  Union[str, Any]							,		__A					:  List[str]							,		__A					:  Optional[int]="<s>"							,		__A					:  Optional[int]="<pad>"							,		__A					:  Optional[Any]="</s>"							,		__A					:  int="<unk>"							,		__A					:  int=False							,		__A					:  Optional[Any]=None							,		**__A					:  int							,		):
						super().__init__(
						    unk_token=__A							,		bos_token=__A							,		eos_token=__A							,		pad_token=__A							,		do_lower_case=__A							,		**__A							,		)

						snake_case__			:				Optional[int]       =  do_lower_case

						with open(__A							,		encoding="utf-8"	) as vocab_handle:
							snake_case__			:				List[str]       =  json.load(__A	)
						snake_case__			:				Optional[int]       =  {v: k for k, v in self.encoder.items()}

						if merges_file is None:
							logger.info(f'''No merges files provided. {self.__class__.__name__} can only be used for decoding.'''	)

							snake_case__			:				Optional[Any]       =  None
							snake_case__			:				List[str]       =  None
						else:
							with open(__A							,		encoding="utf-8"	) as merges_handle:
								snake_case__			:				str       =  merges_handle.read().split("\n"	)[:-1]

							snake_case__			:				Tuple       =  [tuple(merge.split()[:2]	) for merge in merges]
							snake_case__			:				Union[str, Any]       =  dict(zip(__A							,		range(len(__A	)	)	)	)
							snake_case__			:				List[Any]       =  {}



					@property
					def 	_lowercase					( self					:  int	):
						return len(self.decoder	)



					def 	_lowercase					( self					:  Optional[int]	):
						return dict(self.encoder							,		**self.added_tokens_encoder	)



					def 	_lowercase					( self					:  Dict							,		__A					:  List[Any]	):
						snake_case__			:				List[str]       =  tuple(token[:-1]	) + (token[-1] + BPE_TOKEN_MERGES,)
						if token in self.cache:
							return self.cache[token]
						snake_case__			:				Optional[Any]       =  get_pairs(__A	)

						if not pairs:
							return token

						while True:
							snake_case__			:				Dict       =  min(__A							,		key=lambda __A	: self.bpe_ranks.get(__A							,		float("inf"	)	)	)
							if bigram not in self.bpe_ranks:
								break
							snake_case__,						snake_case__			:				Tuple       =  bigram
							snake_case__			:				Any       =  []
							snake_case__			:				Tuple       =  0
							while i < len(__A	):
								try:
									snake_case__			:				Tuple       =  word.index(__A							,		__A	)
								except ValueError:
									new_word.extend(word[i:]	)
									break
								else:
									new_word.extend(word[i:j]	)
									snake_case__			:				str       =  j

								if word[i] == first and i < len(__A	) - 1 and word[i + 1] == second:
									new_word.append(first + second	)
									i += 2
								else:
									new_word.append(word[i]	)
									i += 1
							snake_case__			:				Any       =  tuple(__A	)
							snake_case__			:				List[str]       =  new_word
							if len(__A	) == 1:
								break
							else:
								snake_case__			:				Optional[Any]       =  get_pairs(__A	)
						snake_case__			:				List[str]       =  " ".join(__A	)
						if word == "\n  " + BPE_TOKEN_MERGES:
							snake_case__			:				Union[str, Any]       =  "\n" + BPE_TOKEN_MERGES

						if word.endswith(__A	):
							snake_case__			:				int       =  word.replace(__A							,		""	)

						snake_case__			:				Tuple       =  word.replace(" "							,		__A	)
						snake_case__			:				Union[str, Any]       =  word
						return word



					def 	_lowercase					( self					:  List[Any]							,		__A					:  Union[str, Any]	):

						if self.bpe_ranks is None:
							raise ValueError(
							    "This tokenizer was instantiated without a `merges.txt` file, so"
							    " that it can only be used for decoding, not for encoding."
							    "Make sure to provide `merges.txt` file at instantiation to enable "
							    "encoding."	)

						if self.do_lower_case:
							snake_case__			:				int       =  text.lower()

						snake_case__			:				Dict       =  text.split()

						snake_case__			:				Optional[Any]       =  []
						for token in text:
							if token:
								split_tokens.extend(list(self.bpe(__A	).split(" "	)	)	)

						return split_tokens



					def 	_lowercase					( self					:  List[Any]							,		__A					:  str	):
						return self.encoder.get(__A							,		self.encoder.get(self.unk_token	)	)



					def 	_lowercase					( self					:  Dict							,		__A					:  int	):
						snake_case__			:				Any       =  self.decoder.get(__A							,		self.unk_token	)
						return result



					def 	_lowercase					( self					:  Optional[int]							,		__A					:  List[str]	):
						snake_case__			:				List[Any]       =  " ".join(__A	)

						# make sure @@ tokens are concatenated
						snake_case__			:				Any       =  "".join(string.split(__A	)	)

						return string






					def 	_lowercase					( self					:  int							,		__A					:  str							,		__A					:  Optional[str] = None	):
						if not os.path.isdir(__A	):
							logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
							return
						snake_case__			:				List[Any]       =  os.path.join(
						    __A							,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)
						snake_case__			:				Optional[Any]       =  os.path.join(
						    __A							,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]	)

						with open(__A							,		"w"							,		encoding="utf-8"	) as f:
							f.write(json.dumps(self.encoder							,		indent=2							,		sort_keys=__A							,		ensure_ascii=__A	) + "\n"	)

						snake_case__			:				Optional[Any]       =  0
						if self.bpe_ranks is None:
							return (vocab_file,)

						with open(__A							,		"w"							,		encoding="utf-8"	) as writer:
							for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,		key=lambda __A	: kv[1]	):
								if index != token_index:
									logger.warning(
									    f'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
									    " Please check that the tokenizer is not corrupted!"	)
									snake_case__			:				Dict       =  token_index
								writer.write(" ".join(__A	) + "\n"	)
								index += 1

						return (vocab_file, merges_file)











import sys

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







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							str = N       ):
	snake_case__			:				Any       =  -sys.maxsize - 1
	for i in range(len(snake_case_       ) - 12       ):
		snake_case__			:				Tuple       =  1
		for j in range(13       ):
			product *= int(n[i + j]       )
		if product > largest_product:
			snake_case__			:				Dict       =  product
	return largest_product


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



