

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    __UpperCAmelCase (	__a      :			Optional[Any]	)			->     str:

					"""simple docstring"""

					_a	:    Optional[int]         =		set()
					_a	:    Tuple         =		word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)	)
										_a	:    str         =		char
					return pairs


# Speech2Text2 has no max input length
a__				=		{'facebook/s2t-wav2vec2-large-en-de': 1024}







class 				UpperCAmelCase_		(			UpperCAmelCase__   ):
							"""simple docstring"""







							UpperCAmelCase__       :						Optional[Any]	    =    VOCAB_FILES_NAMES
							UpperCAmelCase__       :						List[str]	    =    PRETRAINED_VOCAB_FILES_MAP
							UpperCAmelCase__       :						str	    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCAmelCase__       :						Union[str, Any]	    =    ["""input_ids""", """attention_mask"""]


							def __init__(			self       ,							_a       ,							_a="<s>"       ,							_a="<pad>"       ,							_a="</s>"       ,							_a="<unk>"       ,							_a=False       ,							_a=None       ,							**_a       ,							)    ->    Union[str, Any]:
												super().__init__(
												    unk_token=snake_case_       ,							bos_token=snake_case_       ,							eos_token=snake_case_       ,							pad_token=snake_case_       ,							do_lower_case=snake_case_       ,							**snake_case_       ,							)

												_a	:    Dict         =		do_lower_case

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

																	_a	:    Dict         =		[tuple(merge.split()[:2]       ) for merge in merges]
																	_a	:    Optional[int]         =		dict(zip(snake_case_       ,							range(len(snake_case_       )       )       )       )
																	_a	:    List[str]         =		{}


							@property
							def 				__lowercase				(			self       )    ->    List[str]:
												return len(self.decoder       )


							def 				__lowercase				(			self       )    ->    Dict:
												return dict(self.encoder       ,							**self.added_tokens_encoder       )


							def 				__lowercase				(			self       ,							_a       )    ->    Optional[Any]:
												_a	:    Union[str, Any]         =		tuple(token[:-1]       ) + (token[-1] + BPE_TOKEN_MERGES,)
												if token in self.cache:
																	return self.cache[token]
												_a	:    Union[str, Any]         =		get_pairs(snake_case_       )

												if not pairs:
																	return token

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

																						if word[i] == first and i < len(snake_case_       ) - 1 and word[i + 1] == second:
																											new_word.append(first + second       )
																											i += 2
																						else:
																											new_word.append(word[i]       )
																											i += 1
																	_a	:    List[str]         =		tuple(snake_case_       )
																	_a	:    Dict         =		new_word
																	if len(snake_case_       ) == 1:
																						break
																	else:
																						_a	:    Dict         =		get_pairs(snake_case_       )
												_a	:    int         =		' '.join(snake_case_       )
												if word == "\n  " + BPE_TOKEN_MERGES:
																	_a	:    Tuple         =		'\n' + BPE_TOKEN_MERGES

												if word.endswith(snake_case_       ):
																	_a	:    Union[str, Any]         =		word.replace(snake_case_       ,							''''''       )

												_a	:    Any         =		word.replace(''' '''       ,							snake_case_       )
												_a	:    Optional[int]         =		word
												return word


							def 				__lowercase				(			self       ,							_a       )    ->    Any:

												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	:    Optional[int]         =		text.lower()

												_a	:    int         =		text.split()

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

												return split_tokens


							def 				__lowercase				(			self       ,							_a       )    ->    Dict:
												return self.encoder.get(snake_case_       ,							self.encoder.get(self.unk_token       )       )


							def 				__lowercase				(			self       ,							_a       )    ->    List[Any]:
												_a	:    Optional[Any]         =		self.decoder.get(snake_case_       ,							self.unk_token       )
												return result


							def 				__lowercase				(			self       ,							_a       )    ->    List[Any]:
												_a	:    List[Any]         =		' '.join(snake_case_       )

												# make sure @@ tokens are concatenated
												_a	:    List[str]         =		''.join(string.split(snake_case_       )       )

												return string




							def 				__lowercase				(			self       ,							_a       ,							_a = None       )    ->    int:

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

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

												_a	:    Union[str, Any]         =		0
												if self.bpe_ranks is None:
																	return (vocab_file,)

												with open(snake_case_       ,							'''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!'''       )
																											_a	:    Any         =		token_index
																						writer.write(''' '''.join(snake_case_       ) + '''\n'''       )
																						index += 1

												return (vocab_file, merges_file)










"""simple docstring"""




from copy import deepcopy

class  _UpperCAmelCase  :



      '''simple docstring'''

      def __init__(     self					,      snake_case_ = None					,      snake_case_ = None  ):

        """simple docstring"""

        if arr is None and size is not None:
          A_  :       Union[str, Any]										=  size
          A_  :       List[str]										=  [0] * size
        elif arr is not None:
          self.init(snake_case_  )
        else:
          raise ValueError('Either arr or size must be specified'  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       Union[str, Any]										=  len(snake_case_  )
        A_  :       Optional[int]										=  deepcopy(snake_case_  )
        for i in range(1					,      self.size  ):
          A_  :       Optional[Any]										=  self.next_(snake_case_  )
          if j < self.size:
            self.tree[j] += self.tree[i]

      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        A_  :       int										=  self.tree[:]
        for i in range(self.size - 1					,      0					,      -1  ):
          A_  :       Optional[int]										=  self.next_(snake_case_  )
          if j < self.size:
            arr[j] -= arr[i]
        return arr

      @staticmethod
      def 					lowerCamelCase_			(     snake_case_  ):

        """simple docstring"""

        return index + (index & (-index))

      @staticmethod
      def 					lowerCamelCase_			(     snake_case_  ):

        """simple docstring"""

        return index - (index & (-index))

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_  ):

        """simple docstring"""

        if index == 0:
          self.tree[0] += value
          return
        while index < self.size:
          self.tree[index] += value
          A_  :       List[str]										=  self.next_(snake_case_  )

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_  ):

        """simple docstring"""

        self.add(snake_case_					,      value - self.get(snake_case_  )  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        if right == 0:
          return 0
        A_  :       Any										=  self.tree[0]
        right -= 1  # make right inclusive
        while right > 0:
          result += self.tree[right]
          A_  :       Tuple										=  self.prev(snake_case_  )
        return result

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_  ):

        """simple docstring"""

        return self.prefix(snake_case_  ) - self.prefix(snake_case_  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        return self.query(snake_case_					,      index + 1  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        value -= self.tree[0]
        if value < 0:
          return -1

        A_  :       List[Any]										=  1  # Largest power of 2 <= size
        while j * 2 < self.size:
          j *= 2

        A_  :       Tuple										=  0

        while j > 0:
          if i + j < self.size and self.tree[i + j] <= value:
            value -= self.tree[i + j]
            i += j
          j //= 2
        return i


if __name__ == "__main__":
   import doctest

   doctest.testmod()