




"""simple docstring"""
def      UpperCAmelCase				(			A__:    float							,				A__:    float     )  ->     float:

			if density <= 0:
						raise ValueError('Impossible fluid density'     )
			if bulk_modulus <= 0:
						raise ValueError('Impossible bulk modulus'     )

			return (bulk_modulus / density) ** 0.5


if __name__ == "__main__":
					import doctest

					doctest.testmod()









"""simple docstring"""
import json
import os
from typing import Dict, List, Optional, Tuple

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


a_				:    Dict										=     logging.get_logger(__name__)


a_				:    List[Any]										=     {
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

a_				:    Tuple										=     {
    '''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_				:    Optional[Any]										=     '''</w>'''
a_				:    Dict										=     '''@@ '''





def 						UpperCAmelCase				(			A__:    Optional[Any]     )  ->     Optional[int]:
			__lowerCamelCase					:	Any	       =				set()
			__lowerCamelCase					:	Optional[int]	       =				word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)     )
						__lowerCamelCase					:	Optional[int]	       =				char
			return pairs


# Speech2Text2 has no max input length
a_				:    Union[str, Any]										=     {'''facebook/s2t-wav2vec2-large-en-de''': 10_24}






class __lowercase(      lowercase__				):




					'''simple docstring'''


					__a						:						List[str]     		= VOCAB_FILES_NAMES
					__a						:						Optional[int]     		= PRETRAINED_VOCAB_FILES_MAP
					__a						:						Union[str, Any]     		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__a						:						Dict     		= ['input_ids', 'attention_mask']
					def __init__(    self						,	__a						,	__a="<s>"						,	__a="<pad>"						,	__a="</s>"						,	__a="<unk>"						,	__a=False						,	__a=None						,	**__a						,	):
								super().__init__(
								    unk_token=__a						,	bos_token=__a						,	eos_token=__a						,	pad_token=__a						,	do_lower_case=__a						,	**__a						,	)

								__lowerCamelCase					:	List[Any]	       =				do_lower_case

								with open(__a						,	encoding='utf-8'     ) as vocab_handle:
											__lowerCamelCase					:	str	       =				json.load(__a     )
								__lowerCamelCase					:	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.'''     )

											__lowerCamelCase					:	str	       =				None
											__lowerCamelCase					:	Optional[int]	       =				None
								else:
											with open(__a						,	encoding='utf-8'     ) as merges_handle:
														__lowerCamelCase					:	Optional[int]	       =				merges_handle.read().split('\n'     )[:-1]

											__lowerCamelCase					:	List[str]	       =				[tuple(merge.split()[:2]     ) for merge in merges]
											__lowerCamelCase					:	Any	       =				dict(zip(__a						,	range(len(__a     )     )     )     )
											__lowerCamelCase					:	List[str]	       =				{}
					@property
					def     snake_case_				(    self     ):
								return len(self.decoder     )
					def     snake_case_				(    self     ):
								return dict(self.encoder						,	**self.added_tokens_encoder     )
					def     snake_case_				(    self						,	__a     ):
								__lowerCamelCase					:	Optional[Any]	       =				tuple(token[:-1]     ) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
											return self.cache[token]
								__lowerCamelCase					:	Union[str, Any]	       =				get_pairs(__a     )

								if not pairs:
											return token

								while True:
											__lowerCamelCase					:	Dict	       =				min(__a						,	key=lambda __a     : self.bpe_ranks.get(__a						,	float('inf'     )     )     )
											if bigram not in self.bpe_ranks:
														break
											__lowerCamelCase       ,      __lowerCamelCase					:	Optional[Any]	       =				bigram
											__lowerCamelCase					:	Tuple	       =				[]
											__lowerCamelCase					:	Union[str, Any]	       =				0
											while i < len(__a     ):
														try:
																	__lowerCamelCase					:	Union[str, Any]	       =				word.index(__a						,	__a     )
														except ValueError:
																	new_word.extend(word[i:]     )
																	break
														else:
																	new_word.extend(word[i:j]     )
																	__lowerCamelCase					:	Any	       =				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
											__lowerCamelCase					:	List[str]	       =				tuple(__a     )
											__lowerCamelCase					:	Any	       =				new_word
											if len(__a     ) == 1:
														break
											else:
														__lowerCamelCase					:	Tuple	       =				get_pairs(__a     )
								__lowerCamelCase					:	Optional[int]	       =				' '.join(__a     )
								if word == "\n  " + BPE_TOKEN_MERGES:
											__lowerCamelCase					:	str	       =				'\n' + BPE_TOKEN_MERGES

								if word.endswith(__a     ):
											__lowerCamelCase					:	Tuple	       =				word.replace(__a						,	''     )

								__lowerCamelCase					:	Optional[Any]	       =				word.replace(' '						,	__a     )
								__lowerCamelCase					:	Union[str, Any]	       =				word
								return word
					def     snake_case_				(    self						,	__a     ):

								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					:	Any	       =				text.lower()

								__lowerCamelCase					:	Union[str, Any]	       =				text.split()

								__lowerCamelCase					:	str	       =				[]
								for token in text:
											if token:
														split_tokens.extend(list(self.bpe(__a     ).split(' '     )     )     )

								return split_tokens
					def     snake_case_				(    self						,	__a     ):
								return self.encoder.get(__a						,	self.encoder.get(self.unk_token     )     )
					def     snake_case_				(    self						,	__a     ):
								__lowerCamelCase					:	int	       =				self.decoder.get(__a						,	self.unk_token     )
								return result
					def     snake_case_				(    self						,	__a     ):
								__lowerCamelCase					:	Any	       =				' '.join(__a     )

								# make sure @@ tokens are concatenated
								__lowerCamelCase					:	Union[str, Any]	       =				''.join(string.split(__a     )     )

								return string





					def     snake_case_				(    self						,	__a						,	__a = None     ):
								if not os.path.isdir(__a     ):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''     )
											return
								__lowerCamelCase					:	int	       =				os.path.join(
								    __a						,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
								__lowerCamelCase					:	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'     )

								__lowerCamelCase					:	Optional[int]	       =				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!'     )
																	__lowerCamelCase					:	Optional[int]	       =				token_index
														writer.write(' '.join(__a     ) + '\n'     )
														index += 1

								return (vocab_file, merges_file)



