
import warnings
from contextlib import contextmanager

from ....processing_utils import ProcessorMixin



class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							List[str]     	=				"MCTCTFeatureExtractor"
   _SCREAMING_SNAKE_CASE				:							int     	=				"AutoTokenizer"
   def __init__(self			: Any ,    snake_case_			: List[Any] ,    snake_case_			: List[Any]       ):
    super().__init__(snake_case_ ,    snake_case_       )
    __a			:  List[str]		    =  self.feature_extractor
    __a			:  List[str]		    =  False
   def __call__(self			: Dict ,    *snake_case_			: Union[str, Any] ,    **snake_case_			: Tuple       ):
    # For backward compatibility
    if self._in_target_context_manager:
     return self.current_processor(*snake_case_ ,    **snake_case_       )

    if "raw_speech" in kwargs:
     warnings.warn('''Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead.'''       )
     __a			:  List[str]		    =  kwargs.pop('''raw_speech'''       )
    else:
     __a			:  Any		    =  kwargs.pop('''audio''' ,    snake_case_       )
    __a			:  List[str]		    =  kwargs.pop('''sampling_rate''' ,    snake_case_       )
    __a			:  Dict		    =  kwargs.pop('''text''' ,    snake_case_       )
    if len(snake_case_       ) > 0:
     __a			:  Optional[int]		    =  args[0]
     __a			:  Optional[int]		    =  args[1:]

    if audio is None and text is None:
     raise ValueError('''You need to specify either an `audio` or `text` input to process.'''       )

    if audio is not None:
     __a			:  int		    =  self.feature_extractor(snake_case_ ,    *snake_case_ ,    sampling_rate=snake_case_ ,    **snake_case_       )
    if text is not None:
     __a			:  Union[str, Any]		    =  self.tokenizer(snake_case_ ,    **snake_case_       )

    if text is None:
     return inputs
    elif audio is None:
     return encodings
    else:
     __a			:  Optional[Any]		    =  encodings['''input_ids''']
     return inputs
   def 				lowerCAmelCase      (self			: int ,    *snake_case_			: List[str] ,    **snake_case_			: int       ):
    return self.tokenizer.batch_decode(*snake_case_ ,    **snake_case_       )
   def 				lowerCAmelCase      (self			: Union[str, Any] ,    *snake_case_			: Optional[Any] ,    **snake_case_			: int       ):
    # For backward compatibility
    if self._in_target_context_manager:
     return self.current_processor.pad(*snake_case_ ,    **snake_case_       )

    __a			:  List[Any]		    =  kwargs.pop('''input_features''' ,    snake_case_       )
    __a			:  Dict		    =  kwargs.pop('''labels''' ,    snake_case_       )
    if len(snake_case_       ) > 0:
     __a			:  str		    =  args[0]
     __a			:  List[str]		    =  args[1:]

    if input_features is not None:
     __a			:  Union[str, Any]		    =  self.feature_extractor.pad(snake_case_ ,    *snake_case_ ,    **snake_case_       )
    if labels is not None:
     __a			:  Optional[int]		    =  self.tokenizer.pad(snake_case_ ,    **snake_case_       )

    if labels is None:
     return input_features
    elif input_features is None:
     return labels
    else:
     __a			:  Dict		    =  labels['''input_ids''']
     return input_features
   def 				lowerCAmelCase      (self			: Optional[int] ,    *snake_case_			: Any ,    **snake_case_			: Tuple       ):
    return self.tokenizer.decode(*snake_case_ ,    **snake_case_       )







   @contextmanager
   def 				lowerCAmelCase      (self			: Any       ):
    warnings.warn(
        '''`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your '''
        '''labels by using the argument `text` of the regular `__call__` method (either in the same call as '''
        '''your audio inputs, or in a separate call.'''       )
    __a			:  List[Any]		    =  True
    __a			:  Optional[int]		    =  self.tokenizer
    yield
    __a			:  Dict		    =  self.feature_extractor
    __a			:  Any		    =  False


from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
lowercase__          =10




def        __UpperCamelCase					(    lowerCAmelCase__							:    int  ,       lowerCAmelCase__							:    int  ,       lowerCAmelCase__							:    list[int]  ,       lowerCAmelCase__							:    int  ):
 for i in range(lowerCAmelCase__  ,       lowerCAmelCase__  ):
  if array[i] == target:
   return i
 return -1




def        __UpperCamelCase					(    lowerCAmelCase__							:    list[int]  ,       lowerCAmelCase__							:    int  ):
 __a			:  List[Any]		    =  0
 __a			:  Union[str, Any]		    =  len(lowerCAmelCase__  )
 while left <= right:
  if right - left < precision:
   return lin_search(lowerCAmelCase__  ,       lowerCAmelCase__  ,       lowerCAmelCase__  ,       lowerCAmelCase__  )

  __a			:  str		    =  (left + right) // 3 + 1
  __a			:  List[Any]		    =  2 * (left + right) // 3 + 1

  if array[one_third] == target:
   return one_third
  elif array[two_third] == target:
   return two_third

  elif target < array[one_third]:
   __a			:  List[str]		    =  one_third - 1
  elif array[two_third] < target:
   __a			:  List[str]		    =  two_third + 1

  else:
   __a			:  Dict		    =  one_third + 1
   __a			:  Any		    =  two_third - 1
 else:
  return -1




def        __UpperCamelCase					(    lowerCAmelCase__							:    int  ,       lowerCAmelCase__							:    int  ,       lowerCAmelCase__							:    list[int]  ,       lowerCAmelCase__							:    int  ):
 if left < right:
  if right - left < precision:
   return lin_search(lowerCAmelCase__  ,       lowerCAmelCase__  ,       lowerCAmelCase__  ,       lowerCAmelCase__  )
  __a			:  Union[str, Any]		    =  (left + right) // 3 + 1
  __a			:  Optional[Any]		    =  2 * (left + right) // 3 + 1

  if array[one_third] == target:
   return one_third
  elif array[two_third] == target:
   return two_third

  elif target < array[one_third]:
   return rec_ternary_search(lowerCAmelCase__  ,       one_third - 1  ,       lowerCAmelCase__  ,       lowerCAmelCase__  )
  elif array[two_third] < target:
   return rec_ternary_search(two_third + 1  ,       lowerCAmelCase__  ,       lowerCAmelCase__  ,       lowerCAmelCase__  )
  else:
   return rec_ternary_search(one_third + 1  ,       two_third - 1  ,       lowerCAmelCase__  ,       lowerCAmelCase__  )
 else:
  return -1


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      lowercase__          =input('Enter numbers separated by comma:\n').strip()
      lowercase__          =[int(item.strip()) for item in user_input.split(',')]
      assert collection == sorted(collection), F"List must be ordered.\n{collection}."
      lowercase__          =int(input('Enter the number to be found in the list:\n').strip())
      lowercase__          =ite_ternary_search(collection, target)
      lowercase__          =rec_ternary_search(0, len(collection) - 1, collection, target)
      if resulta != -1:
            print(F"""Iterative search: {target} found at positions: {resulta}""")
            print(F"""Recursive search: {target} found at positions: {resulta}""")
      else:
            print('Not found')
