code: 
  
  def       __a       (   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )      ->     Optional[int]:
  
  
  
  
  
  
      '''simple docstring'''
      if start == end:
          return start if lst[start] > item else start + 1
      if start > end:
          return start
  
      __UpperCAmelCase									=			(start + end) // 2
      if lst[mid] < item:
          return binary_search(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   mid + 1       ,   SCREAMING_SNAKE_CASE      )
      elif lst[mid] > item:
          return binary_search(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   mid - 1      )
      else:
          return mid
  
  
  def       __a       (   SCREAMING_SNAKE_CASE      )      ->     Dict:
  
  
  
  
  
  
      '''simple docstring'''
      __UpperCAmelCase									=			len(SCREAMING_SNAKE_CASE      )
  
      for index in range(1       ,   SCREAMING_SNAKE_CASE      ):
          __UpperCAmelCase									=			lst[index]
          __UpperCAmelCase									=			binary_search(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   0       ,   index - 1      )
          __UpperCAmelCase									=			lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]
  
      return lst
  
  
  def       __a       (   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )      ->     Dict:
  
  
  
  
  
  
      '''simple docstring'''
      if not left:
          return right
  
      if not right:
          return left
  
      if left[0] < right[0]:
          return [left[0], *merge(left[1:]       ,   SCREAMING_SNAKE_CASE      )]
  
      return [right[0], *merge(SCREAMING_SNAKE_CASE       ,   right[1:]      )]
  
  
  def       __a       (   SCREAMING_SNAKE_CASE      )      ->     Tuple:
  
  
  
  
  
  
      '''simple docstring'''
      __UpperCAmelCase									=			len(SCREAMING_SNAKE_CASE      )
      __UpperCAmelCase					,     __UpperCAmelCase									=			[], []
      __UpperCAmelCase									=			[lst[0]]
      __UpperCAmelCase									=			[]
      __UpperCAmelCase									=			1
      while i < length:
          if lst[i] < lst[i - 1]:
              runs.append(SCREAMING_SNAKE_CASE      )
              __UpperCAmelCase									=			[lst[i]]
          else:
              new_run.append(lst[i]      )
          i += 1
      runs.append(SCREAMING_SNAKE_CASE      )
  
      for run in runs:
          sorted_runs.append(insertion_sort(SCREAMING_SNAKE_CASE      )      )
      for run in sorted_runs:
          __UpperCAmelCase									=			merge(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )
  
      return sorted_array
  
  
  def       __a       (   )      ->     List[str]:
  
  
  
  
  
  
      '''simple docstring'''
      __UpperCAmelCase									=			[5, 9, 1_0, 3, -4, 5, 1_7_8, 9_2, 4_6, -1_8, 0, 7]
      __UpperCAmelCase									=			tim_sort(SCREAMING_SNAKE_CASE      )
      print(SCREAMING_SNAKE_CASE      )
  
  
  if __name__ == "__main__":
         main()
  
  
  
  
  
style_context: 
  
  import copy
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  from ..auto.configuration_auto import AutoConfig
  
  
  A_		:			int										=   logging.get_logger(__name__)
  class 					A_   (      _a						):
  
  
      '''simple docstring'''
  
  
  
  
  
  
      a__     							=       "speech-encoder-decoder"
      a__     							=       True
  
  
      def __init__(self     ,      **lowercase__  )     ->      Optional[int]:
          super().__init__(**lowercase__  )
          if "encoder" not in kwargs or "decoder" not in kwargs:
              raise ValueError(
                  F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
                  F''' `decoder` sub-configurations are passed, but only {kwargs}'''  )
  
          __UpperCAmelCase									=			kwargs.pop('''encoder'''  )
          __UpperCAmelCase									=			encoder_config.pop('''model_type'''  )
          __UpperCAmelCase									=			kwargs.pop('''decoder'''  )
          __UpperCAmelCase									=			decoder_config.pop('''model_type'''  )
  
          __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
          __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
          __UpperCAmelCase									=			True
  
  
      @classmethod
      def      lowerCAmelCase_						(cls     ,      lowercase__     ,      lowercase__     ,      **lowercase__  )     ->      PretrainedConfig:
          logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''  )
          __UpperCAmelCase									=			True
          __UpperCAmelCase									=			True
  
          return cls(encoder=encoder_config.to_dict()     ,      decoder=decoder_config.to_dict()     ,      **lowercase__  )
  
  
  
  
  
  
      def      lowerCAmelCase_						(self  )     ->      Optional[Any]:
          __UpperCAmelCase									=			copy.deepcopy(self.__dict__  )
          __UpperCAmelCase									=			self.encoder.to_dict()
          __UpperCAmelCase									=			self.decoder.to_dict()
          __UpperCAmelCase									=			self.__class__.model_type
          return output
  
  
  
  
  