






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

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


lowerCamelCase : List[Any]						   =       logging.get_logger(__name__)


lowerCamelCase : Tuple						   =       {
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

lowerCamelCase : 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 : Any						   =       '''</w>'''
lowerCamelCase : Optional[int]						   =       '''@@ '''
def       snake_case_		(     lowerCAmelCase_       :						Dict      ):
							__lowercase      :							Optional[Any]				=     set()
							__lowercase      :							Optional[Any]				=     word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)      )
														__lowercase      :							int				=     char
							return pairs


# Speech2Text2 has no max input length
lowerCamelCase : Optional[int]						   =       {'''facebook/s2t-wav2vec2-large-en-de''': 10_24}



class 		lowerCAmelCase     ( __a			):

					'''simple docstring'''

					_A						:			Dict									=      VOCAB_FILES_NAMES
					_A						:			str									=      PRETRAINED_VOCAB_FILES_MAP
					_A						:			Optional[int]									=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_A						:			Optional[int]									=      ['''input_ids''', '''attention_mask''']



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


												"""simple docstring"""

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

												__lowercase      :							int				=     do_lower_case

												with open(__a		,     encoding="""utf-8"""							) as vocab_handle:
																			__lowercase      :							List[Any]				=     json.load(__a							)
												__lowercase      :							Union[str, Any]				=     {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      :							int				=     None
																			__lowercase      :							Union[str, Any]				=     None
												else:
																			with open(__a		,     encoding="""utf-8"""							) as merges_handle:
																										__lowercase      :							List[str]				=     merges_handle.read().split("""\n"""							)[:-1]

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



					@property
					def       lowerCAmelCase				(  self				:	Tuple							)			->  int:


												"""simple docstring"""

												return len(self.decoder							)



					def       lowerCAmelCase				(  self				:	str							)			->  Dict:


												"""simple docstring"""

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



					def       lowerCAmelCase				(  self				:	Tuple		,     __a				:	Any							)			->  Dict:


												"""simple docstring"""

												__lowercase      :							List[Any]				=     tuple(token[:-1]							) + (token[-1] + BPE_TOKEN_MERGES,)
												if token in self.cache:
																			return self.cache[token]
												__lowercase      :							Dict				=     get_pairs(__a							)

												if not pairs:
																			return token

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

												if word.endswith(__a							):
																			__lowercase      :							List[Any]				=     word.replace(__a		,     """"""							)

												__lowercase      :							Union[str, Any]				=     word.replace(""" """		,     __a							)
												__lowercase      :							Any				=     word
												return word



					def       lowerCAmelCase				(  self				:	Optional[Any]		,     __a				:	Optional[Any]							)			->  Union[str, Any]:


												"""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:
																			__lowercase      :							Union[str, Any]				=     text.lower()

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

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

												return split_tokens



					def       lowerCAmelCase				(  self				:	Dict		,     __a				:	str							)			->  int:


												"""simple docstring"""

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



					def       lowerCAmelCase				(  self				:	Tuple		,     __a				:	int							)			->  str:


												"""simple docstring"""

												__lowercase      :							str				=     self.decoder.get(__a		,     self.unk_token							)
												return result



					def       lowerCAmelCase				(  self				:	Union[str, Any]		,     __a				:	List[str]							)			->  str:


												"""simple docstring"""

												__lowercase      :							Optional[Any]				=     """ """.join(__a							)

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

												return string



					def       lowerCAmelCase				(  self				:	int		,     __a				:	str		,     __a				:	Optional[str] = None							)			->  Tuple[str]:


												"""simple docstring"""

												if not os.path.isdir(__a							):
																			logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
																			return
												__lowercase      :							Tuple				=     os.path.join(
												    __a		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
												__lowercase      :							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"""							)

												__lowercase      :							Dict				=     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!"""							)
																																	__lowercase      :							str				=     token_index
																										writer.write(""" """.join(__a							) + """\n"""							)
																										index += 1

												return (vocab_file, merges_file)







import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCamelCase : Union[str, Any]						   =       logging.get_logger(__name__)

class 		lowerCAmelCase     ( __a			):

					'''simple docstring'''

					def __init__(  self				:	int		,     *__a				:	Dict		,     **__a				:	Optional[Any]							)			->  None:


												"""simple docstring"""

												warnings.warn(
												    """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
												    """ use BeitImageProcessor instead."""		,     __a		,     )
												super().__init__(*__a		,     **__a							)