code: 
  
  
  '''simple docstring'''
  
  class 						__lowerCAmelCase		:
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def __init__(self					:					Union[str, Any]     ,		UpperCamelCase					:					int				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				data
               lowercase__       =				None
               lowercase__       =				None
  
  
  
  
  
  
  def _SCREAMING_SNAKE_CASE   (A						,				A ) -> BinaryTreeNode | None:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if node is None:
                lowercase__       =				BinaryTreeNode(A )
                return node
  
         # binary search tree is not empty,
         # so we will insert it into the tree
         # if new_value is less than value of data in node,
         #  add it to left subtree and proceed recursively
         if new_value < node.data:
                lowercase__       =				insert(node.left_child						,				A )
         else:
                # if new_value is greater than value of data in node,
                #  add it to right subtree and proceed recursively
                lowercase__       =				insert(node.right_child						,				A )
         return node
  
  def _SCREAMING_SNAKE_CASE   (A ) -> list[int]:  # if node is None,return
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if node:
                lowercase__       =				inorder(node.left_child )
                lowercase__       =				[*inorder_array, node.data]
                lowercase__       =				inorder_array + inorder(node.right_child )
         else:
                lowercase__       =				[]
         return inorder_array
  
  def _SCREAMING_SNAKE_CASE   () -> BinaryTreeNode | None:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				insert(A						,				15 )
         insert(A						,				10 )
         insert(A						,				25 )
         insert(A						,				6 )
         insert(A						,				14 )
         insert(A						,				20 )
         insert(A						,				60 )
         return root
  
  def _SCREAMING_SNAKE_CASE   () -> None:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				make_tree()
         print('''Printing values of binary search tree in Inorder Traversal.''' )
         inorder(A )
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()
   main()
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  import torch
  
  from accelerate import Accelerator, DistributedType
  class 						__lowerCAmelCase		:
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        def __enter__(self					:					List[Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if self.enabled:
                      lowercase__       =				self.model.no_sync()
                      self.model_sync_obj.__enter__()
  
               return self
  
  
  
        def __exit__(self					:					List[str]     ,		UpperCamelCase					:					List[Any]     ,		UpperCamelCase					:					Optional[int]     ,		UpperCamelCase					:					Optional[int]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if self.enabled:
                      # Average all models on exit
                      self._sync_and_avg_model_params()
                      self.model_sync_obj.__exit__(UpperCamelCase     ,		UpperCamelCase     ,		UpperCamelCase				)
  
  
  
        def __init__(self					:					Dict     ,		UpperCamelCase					:					Accelerator     ,		UpperCamelCase					:					torch.nn.Module     ,		UpperCamelCase					:					int     ,		UpperCamelCase					:					bool = True				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if accelerator.distributed_type not in [
                   DistributedType.NO,
                   DistributedType.MULTI_CPU,
                   DistributedType.MULTI_GPU,
               ]:
                      raise NotImplementedError('''LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)'''				)
               lowercase__       =				enabled and accelerator.distributed_type != DistributedType.NO
               lowercase__       =				0
               if self.enabled:
                      lowercase__       =				accelerator
                      lowercase__       =				model
                      lowercase__       =				local_sgd_steps
  
  
  
        def    UpperCamelCase__	(self					:					List[str]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               self.num_steps += 1
               if not self.enabled:
                      return
  
               if self.num_steps % self.local_sgd_steps == 0:
                      self._sync_and_avg_model_params()
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					Any				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               self.accelerator.wait_for_everyone()
               with self.accelerator.autocast():
                      for param in self.model.parameters():
                             lowercase__       =				self.accelerator.reduce(param.data     ,		reduction='''mean'''				)
  
  
  
  
  