

"""simple docstring"""


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

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


__A						   =			logging.get_logger(__name__)


__A						   =			{
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

__A						   =			{
    "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"
        ),
    },
}

__A						   =			"</w>"
__A						   =			"@@ "






def     a__    (    __SCREAMING_SNAKE_CASE )	->	Optional[Any]:
		__lowerCAmelCase:       Any          =			set()
		__lowerCAmelCase:       Any          =			word[0]
		for char in word[1:]:
				pairs.add((prev_char, char) )
				__lowerCAmelCase:       Any          =			char
		return pairs


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





class     snake_case	(				A_  ):
				SCREAMING_SNAKE_CASE_   :      Optional[Any]         =  VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE_   :      Tuple         =  PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE_   :      List[Any]         =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE_   :      Optional[int]         =  ["input_ids", "attention_mask"]

				def __init__(	self							:				int     ,  UpperCamelCase__							:				Union[str, Any]     ,  UpperCamelCase__							:				str="<s>"     ,  UpperCamelCase__							:				List[Any]="<pad>"     ,  UpperCamelCase__							:				int="</s>"     ,  UpperCamelCase__							:				str="<unk>"     ,  UpperCamelCase__							:				str=False     ,  UpperCamelCase__							:				List[Any]=None     ,  **UpperCamelCase__							:				Tuple     ,  )->   int:



						'''simple docstring'''


						super().__init__(
						    unk_token=_snake_case     ,  bos_token=_snake_case     ,  eos_token=_snake_case     ,  pad_token=_snake_case     ,  do_lower_case=_snake_case     ,  **_snake_case     ,  )

						__lowerCAmelCase:       Optional[int]          =			do_lower_case

						with open(_snake_case     ,  encoding="utf-8") as vocab_handle:
								__lowerCAmelCase:       List[str]          =			json.load(_snake_case)
						__lowerCAmelCase:       Tuple          =			{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.")

								__lowerCAmelCase:       Union[str, Any]          =			None
								__lowerCAmelCase:       int          =			None
						else:
								with open(_snake_case     ,  encoding="utf-8") as merges_handle:
										__lowerCAmelCase:       Tuple          =			merges_handle.read().split("\n")[:-1]

								__lowerCAmelCase:       Optional[int]          =			[tuple(merge.split()[:2]) for merge in merges]
								__lowerCAmelCase:       Tuple          =			dict(zip(_snake_case     ,  range(len(_snake_case))))
								__lowerCAmelCase:       Any          =			{}

				@property
				def 							lowercase_     (	self							:				Optional[int])->   int:



						'''simple docstring'''


						return len(self.decoder)

				def 							lowercase_     (	self							:				Dict)->   Dict:



						'''simple docstring'''


						return dict(self.encoder     ,  **self.added_tokens_encoder)

				def 							lowercase_     (	self							:				Optional[Any]     ,  UpperCamelCase__							:				Union[str, Any])->   Optional[int]:



						'''simple docstring'''


						__lowerCAmelCase:       Union[str, Any]          =			tuple(token[:-1]) + (token[-1] + BPE_TOKEN_MERGES,)
						if token in self.cache:
								return self.cache[token]
						__lowerCAmelCase:       List[str]          =			get_pairs(_snake_case)

						if not pairs:
								return token

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

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

						if word.endswith(_snake_case):
								__lowerCAmelCase:       Optional[int]          =			word.replace(_snake_case     ,  "")

						__lowerCAmelCase:       Union[str, Any]          =			word.replace(" "     ,  _snake_case)
						__lowerCAmelCase:       Optional[Any]          =			word
						return word

				def 							lowercase_     (	self							:				Optional[int]     ,  UpperCamelCase__							:				Dict)->   Optional[int]:



						'''simple docstring'''


						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:
								__lowerCAmelCase:       Tuple          =			text.lower()

						__lowerCAmelCase:       Optional[Any]          =			text.split()

						__lowerCAmelCase:       Dict          =			[]
						for token in text:
								if token:
										split_tokens.extend(list(self.bpe(_snake_case).split(" ")))

						return split_tokens

				def 							lowercase_     (	self							:				Optional[Any]     ,  UpperCamelCase__							:				str)->   int:



						'''simple docstring'''


						return self.encoder.get(_snake_case     ,  self.encoder.get(self.unk_token))

				def 							lowercase_     (	self							:				Dict     ,  UpperCamelCase__							:				int)->   str:



						'''simple docstring'''


						__lowerCAmelCase:       List[Any]          =			self.decoder.get(_snake_case     ,  self.unk_token)
						return result

				def 							lowercase_     (	self							:				Union[str, Any]     ,  UpperCamelCase__							:				List[str])->   str:



						'''simple docstring'''


						__lowerCAmelCase:       Optional[int]          =			''' '''.join(_snake_case)

						# make sure @@ tokens are concatenated
						__lowerCAmelCase:       Tuple          =			''''''.join(string.split(_snake_case))

						return string




				def 							lowercase_     (	self							:				str     ,  UpperCamelCase__							:				str     ,  UpperCamelCase__							:				Optional[str] = None)->   Tuple[str]:



						'''simple docstring'''


						if not os.path.isdir(_snake_case):
								logger.error(f"Vocabulary path ({save_directory}) should be a directory")
								return
						__lowerCAmelCase:       str          =			os.path.join(
						    _snake_case     ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
						__lowerCAmelCase:       int          =			os.path.join(
						    _snake_case     ,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

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

						__lowerCAmelCase:       List[str]          =			0
						if self.bpe_ranks is None:
								return (vocab_file,)

						with open(_snake_case     ,  "w"     ,  encoding="utf-8") as writer:
								for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,  key=lambda UpperCamelCase__: 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!")
												__lowerCAmelCase:       Tuple          =			token_index
										writer.write(" ".join(_snake_case) + "\n")
										index += 1

						return (vocab_file, merges_file)







"""simple docstring"""







import os



def      __UpperCAmelCase      (    )							->      int:
		with open(os.path.dirname(__lowerCamelCase	) + '''/p022_names.txt'''	) as file:
				lowercase__   :    List[Any]				=			str(file.readlines()[0]	)
				lowercase__   :    Dict				=			names.replace('''"'''						,     ''''''	).split(''','''	)

		names.sort()

		lowercase__   :    int				=			0
		lowercase__   :    Optional[Any]				=			0

		for i, name in enumerate(__lowerCamelCase	):
				for letter in name:
						name_score += ord(__lowerCamelCase	) - 64

				total_score += (i + 1) * name_score
				lowercase__   :    List[str]				=			0
		return total_score


if __name__ == "__main__":
							print(solution())
