




"""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					:	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)









"""simple docstring"""
import random





def 						UpperCAmelCase				(			A__:    Union[str, Any]							,				A__:    List[str]							,				A__:    Union[str, Any]     )  ->     int:
			__lowerCamelCase					:	Optional[Any]	       =				a[left_index]
			__lowerCamelCase					:	int	       =				left_index + 1
			for j in range(left_index + 1							,				A__     ):
						if a[j] < pivot:
									__lowerCamelCase       ,      __lowerCamelCase					:	Optional[int]	       =				a[i], a[j]
									i += 1
			__lowerCamelCase       ,      __lowerCamelCase					:	str	       =				a[i - 1], a[left_index]
			return i - 1





def 						UpperCAmelCase				(			A__:    List[Any]							,				A__:    Tuple							,				A__:    Tuple     )  ->     Dict:
			if left < right:
						__lowerCamelCase					:	Optional[int]	       =				random.randint(A__							,				right - 1     )
						__lowerCamelCase       ,      __lowerCamelCase					:	int	       =				(
						    a[left],
						    a[pivot],
						)  # switches the pivot with the left most bound
						__lowerCamelCase					:	Union[str, Any]	       =				partition(A__							,				A__							,				A__     )
						quick_sort_random(
						    A__							,				A__							,				A__     )  # recursive quicksort to the left of the pivot point
						quick_sort_random(
						    A__							,				pivot_index + 1							,				A__     )  # recursive quicksort to the right of the pivot point





def 						UpperCAmelCase				(			)  ->     int:
			__lowerCamelCase					:	Dict	       =				input('Enter numbers separated by a comma:\n'     ).strip()
			__lowerCamelCase					:	int	       =				[int(A__     ) for item in user_input.split(','     )]

			quick_sort_random(A__							,				0							,				len(A__     )     )

			print(A__     )


if __name__ == "__main__":
					main()



