
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		(				snake_case__:   Dict   ):


				'''simple docstring'''
				lowercase_	    =   set()
				lowercase_	    =   word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)   )
								lowercase_	    =   char
				return pairs


# Speech2Text2 has no max input length
__a         =   {'facebook/s2t-wav2vec2-large-en-de': 1_0_2_4}


class 					lowercase__(							UpperCAmelCase				):



	"""simple docstring"""




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

					lowercase_	    =   do_lower_case

					with open(SCREAMING_SNAKE_CASE_			,				encoding='''utf-8'''			) as vocab_handle:
									lowercase_	    =   json.load(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   {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.'''			)

									lowercase_	    =   None
									lowercase_	    =   None
					else:
									with open(SCREAMING_SNAKE_CASE_			,				encoding='''utf-8'''			) as merges_handle:
													lowercase_	    =   merges_handle.read().split('''\n'''			)[:-1]

									lowercase_	    =   [tuple(merge.split()[:2]			) for merge in merges]
									lowercase_	    =   dict(zip(SCREAMING_SNAKE_CASE_			,				range(len(SCREAMING_SNAKE_CASE_			)			)			)			)
									lowercase_	    =   {}
	@property
	def 		_lowercase    (			self    :     Any			)			->	int:
					return len(self.decoder			)
	def 		_lowercase    (			self    :     List[str]			)			->	Dict:
					return dict(self.encoder			,				**self.added_tokens_encoder			)
	def 		_lowercase    (			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     Any			)			->	int:
					lowercase_	    =   tuple(token[:-1]			) + (token[-1] + BPE_TOKEN_MERGES,)
					if token in self.cache:
									return self.cache[token]
					lowercase_	    =   get_pairs(SCREAMING_SNAKE_CASE_			)

					if not pairs:
									return token

					while True:
									lowercase_	    =   min(SCREAMING_SNAKE_CASE_			,				key=lambda SCREAMING_SNAKE_CASE_			: self.bpe_ranks.get(SCREAMING_SNAKE_CASE_			,				float('''inf'''			)			)			)
									if bigram not in self.bpe_ranks:
													break
									lowercase_    ,      lowercase_	    =   bigram
									lowercase_	    =   []
									lowercase_	    =   0
									while i < len(SCREAMING_SNAKE_CASE_			):
													try:
																	lowercase_	    =   word.index(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)
													except ValueError:
																	new_word.extend(word[i:]			)
																	break
													else:
																	new_word.extend(word[i:j]			)
																	lowercase_	    =   j

													if word[i] == first and i < len(SCREAMING_SNAKE_CASE_			) - 1 and word[i + 1] == second:
																	new_word.append(first + second			)
																	i += 2
													else:
																	new_word.append(word[i]			)
																	i += 1
									lowercase_	    =   tuple(SCREAMING_SNAKE_CASE_			)
									lowercase_	    =   new_word
									if len(SCREAMING_SNAKE_CASE_			) == 1:
													break
									else:
													lowercase_	    =   get_pairs(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   ''' '''.join(SCREAMING_SNAKE_CASE_			)
					if word == "\n  " + BPE_TOKEN_MERGES:
									lowercase_	    =   '''\n''' + BPE_TOKEN_MERGES

					if word.endswith(SCREAMING_SNAKE_CASE_			):
									lowercase_	    =   word.replace(SCREAMING_SNAKE_CASE_			,				''''''			)

					lowercase_	    =   word.replace(''' '''			,				SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   word
					return word
	def 		_lowercase    (			self    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     List[Any]			)			->	Tuple:

					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:
									lowercase_	    =   text.lower()

					lowercase_	    =   text.split()

					lowercase_	    =   []
					for token in text:
									if token:
													split_tokens.extend(list(self.bpe(SCREAMING_SNAKE_CASE_			).split(''' '''			)			)			)

					return split_tokens
	def 		_lowercase    (			self    :     Tuple			,				SCREAMING_SNAKE_CASE_    :     str			)			->	int:
					return self.encoder.get(SCREAMING_SNAKE_CASE_			,				self.encoder.get(self.unk_token			)			)
	def 		_lowercase    (			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     int			)			->	str:
					lowercase_	    =   self.decoder.get(SCREAMING_SNAKE_CASE_			,				self.unk_token			)
					return result
	def 		_lowercase    (			self    :     Any			,				SCREAMING_SNAKE_CASE_    :     List[str]			)			->	str:
					lowercase_	    =   ''' '''.join(SCREAMING_SNAKE_CASE_			)

					# make sure @@ tokens are concatenated
					lowercase_	    =   ''''''.join(string.split(SCREAMING_SNAKE_CASE_			)			)

					return string




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

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

					lowercase_	    =   0
					if self.bpe_ranks is None:
									return (vocab_file,)

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

					return (vocab_file, merges_file)












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


SCREAMING_SNAKE_CASE__   :      Optional[int]				=		{"""tokenization_herbert""": ["""HerbertTokenizer"""]}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :      Optional[Any]				=		["""HerbertTokenizerFast"""]


if TYPE_CHECKING:
					from .tokenization_herbert import HerbertTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_herbert_fast import HerbertTokenizerFast

else:
					import sys

					SCREAMING_SNAKE_CASE__   :      Union[str, Any]				=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






