


"""simple docstring"""


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

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


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


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

UpperCamelCase						:				List[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"
        ),
    },
}

UpperCamelCase						:				Dict             =      "</w>"
UpperCamelCase						:				Optional[int]             =      "@@ "







def  __snake_case       (   UpperCamelCase__	)      ->		int:







		"""simple docstring"""





		A					       = set()
		A					       = word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)	)
				A					       = char
		return pairs


# Speech2Text2 has no max input length
UpperCamelCase						:				Dict             =      {"facebook/s2t-wav2vec2-large-en-de": 1_024}



class 			lowerCamelCase__						(   UpperCAmelCase_			):
						lowerCAmelCase       =     VOCAB_FILES_NAMES
						lowerCAmelCase       =     PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase       =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase       =     ["""input_ids""", """attention_mask"""]







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

								A					       = do_lower_case

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

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

										A					       = [tuple(merge.split()[:2]		) for merge in merges]
										A					       = dict(zip(_lowercase			,			range(len(_lowercase		)		)		)		)
										A					       = {}







						@property
						def __a						(							self   :    List[str]		):
								return len(self.decoder		)







						def __a						(							self   :    List[Any]		):
								return dict(self.encoder			,			**self.added_tokens_encoder		)







						def __a						(							self   :    int			,			_lowercase   :    Tuple		):
								A					       = tuple(token[:-1]		) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
										return self.cache[token]
								A					       = get_pairs(_lowercase		)

								if not pairs:
										return token

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

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

								if word.endswith(_lowercase		):
										A					       = word.replace(_lowercase			,			''		)

								A					       = word.replace(' '			,			_lowercase		)
								A					       = word
								return word







						def __a						(							self   :    str			,			_lowercase   :    int		):

								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:
										A					       = text.lower()

								A					       = text.split()

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

								return split_tokens







						def __a						(							self   :    int			,			_lowercase   :    str		):
								return self.encoder.get(_lowercase			,			self.encoder.get(self.unk_token		)		)







						def __a						(							self   :    Union[str, Any]			,			_lowercase   :    int		):
								A					       = self.decoder.get(_lowercase			,			self.unk_token		)
								return result







						def __a						(							self   :    Optional[Any]			,			_lowercase   :    List[str]		):
								A					       = ' '.join(_lowercase		)

								# make sure @@ tokens are concatenated
								A					       = ''.join(string.split(_lowercase		)		)

								return string







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

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

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

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

								return (vocab_file, merges_file)









"""simple docstring"""


def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__ = " "	)      ->		list:







		"""simple docstring"""





		A					       = []

		A					       = 0
		for index, char in enumerate(UpperCamelCase__	):
				if char == separator:
						split_words.append(string[last_index:index]	)
						A					       = index + 1
				elif index + 1 == len(UpperCamelCase__	):
						split_words.append(string[last_index : index + 1]	)
		return split_words


if __name__ == "__main__":
	from doctest import testmod

	testmod()





