



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

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


__snake_case       :	Optional[Any]            =logging.get_logger(__name__)


__snake_case       :	Dict            ={
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

__snake_case       :	int            ={
    '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'
        ),
    },
}

__snake_case       :	Optional[Any]            ='</w>'
__snake_case       :	Optional[Any]            ='@@ '






def 			lowerCAmelCase__	(					lowerCamelCase_	:	int):





				'''simple docstring'''

				lowerCAmelCase__  :       List[str]				=  set()
				lowerCAmelCase__  :       Any				=  word[0]
				for char in word[1:]:
								pairs.add((prev_char, char))
								lowerCAmelCase__  :       List[str]				=  char
				return pairs


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



class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_			=VOCAB_FILES_NAMES
		snake_case_			=PRETRAINED_VOCAB_FILES_MAP
		snake_case_			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		snake_case_			=["""input_ids""", """attention_mask"""]



		def __init__(self	,__lowerCamelCase	,__lowerCamelCase="<s>"	,__lowerCamelCase="<pad>"	,__lowerCamelCase="</s>"	,__lowerCamelCase="<unk>"	,__lowerCamelCase=False	,__lowerCamelCase=None	,**__lowerCamelCase	,)  ->    str:

						"""simple docstring"""






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

						lowerCAmelCase__  :       int				=  do_lower_case

						with open(__lowerCamelCase	,encoding='''utf-8'''				) as vocab_handle:
										lowerCAmelCase__  :       List[Any]				=  json.load(__lowerCamelCase				)
						lowerCAmelCase__  :       Dict				=  {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__  :       Any				=  None
										lowerCAmelCase__  :       Tuple				=  None
						else:
										with open(__lowerCamelCase	,encoding='''utf-8'''				) as merges_handle:
														lowerCAmelCase__  :       List[Any]				=  merges_handle.read().split('''\n'''				)[:-1]

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



		@property
		def 	lowerCAmelCase__   (self				)  ->    int:

						"""simple docstring"""






						return len(self.decoder				)



		def 	lowerCAmelCase__   (self				)  ->    Dict:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Any:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  tuple(token[:-1]				) + (token[-1] + BPE_TOKEN_MERGES,)
						if token in self.cache:
										return self.cache[token]
						lowerCAmelCase__  :       Any				=  get_pairs(__lowerCamelCase				)

						if not pairs:
										return token

						while True:
										lowerCAmelCase__  :       Optional[int]				=  min(__lowerCamelCase	,key=lambda __lowerCamelCase				: self.bpe_ranks.get(__lowerCamelCase	,float('''inf'''				)				)				)
										if bigram not in self.bpe_ranks:
														break
										lowerCAmelCase__		,	lowerCAmelCase__  :       str				=  bigram
										lowerCAmelCase__  :       Union[str, Any]				=  []
										lowerCAmelCase__  :       Any				=  0
										while i < len(__lowerCamelCase				):
														try:
																		lowerCAmelCase__  :       List[Any]				=  word.index(__lowerCamelCase	,__lowerCamelCase				)
														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(__lowerCamelCase				) - 1 and word[i + 1] == second:
																		new_word.append(first + second				)
																		i += 2
														else:
																		new_word.append(word[i]				)
																		i += 1
										lowerCAmelCase__  :       int				=  tuple(__lowerCamelCase				)
										lowerCAmelCase__  :       Union[str, Any]				=  new_word
										if len(__lowerCamelCase				) == 1:
														break
										else:
														lowerCAmelCase__  :       List[str]				=  get_pairs(__lowerCamelCase				)
						lowerCAmelCase__  :       int				=  ''' '''.join(__lowerCamelCase				)
						if word == "\n  " + BPE_TOKEN_MERGES:
										lowerCAmelCase__  :       str				=  '''\n''' + BPE_TOKEN_MERGES

						if word.endswith(__lowerCamelCase				):
										lowerCAmelCase__  :       Optional[int]				=  word.replace(__lowerCamelCase	,''''''				)

						lowerCAmelCase__  :       int				=  word.replace(''' '''	,__lowerCamelCase				)
						lowerCAmelCase__  :       Any				=  word
						return word



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    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__  :       Union[str, Any]				=  text.lower()

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

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

						return split_tokens



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    int:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    str:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.decoder.get(__lowerCamelCase	,self.unk_token				)
						return result



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    str:

						"""simple docstring"""






						lowerCAmelCase__  :       int				=  ''' '''.join(__lowerCamelCase				)

						# make sure @@ tokens are concatenated
						lowerCAmelCase__  :       int				=  ''''''.join(string.split(__lowerCamelCase				)				)

						return string



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    Tuple[str]:

						"""simple docstring"""






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

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

						lowerCAmelCase__  :       Optional[int]				=  0
						if self.bpe_ranks is None:
										return (vocab_file,)

						with open(__lowerCamelCase	,'''w'''	,encoding='''utf-8'''				) as writer:
										for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,key=lambda __lowerCamelCase				: 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__  :       List[str]				=  token_index
														writer.write(''' '''.join(__lowerCamelCase				) + '''\n'''				)
														index += 1

						return (vocab_file, merges_file)






def 			lowerCAmelCase__	(					lowerCamelCase_	:	int):





				'''simple docstring'''

				if not isinstance(lowerCamelCase_ ,lowerCamelCase_):
								lowerCAmelCase__  :       Dict				=  f"""Input value of [number={number}] must be an integer"""
								raise TypeError(lowerCamelCase_)

				if number < 1:
								lowerCAmelCase__  :       Any				=  f"""Input value of [number={number}] must be > 0"""
								raise ValueError(lowerCamelCase_)

				lowerCAmelCase__  :       List[str]				=  1

				for i in range(1 ,lowerCamelCase_):
								current_number *= 4 * i - 2
								current_number //= i + 1

				return current_number


if __name__ == "__main__":
							import doctest

							doctest.testmod()

