old_contents: import random
  
  from syft.frameworks.torch.tensors import PointerTensor
  
  
  class TorchTensor:
      """
      This tensor is simply a more convenient way to add custom functions to
      all Torch tensor types.
      """
  
      def __init__(self):
          self.id = None
          self.owner = None
  
      def create_pointer(
          self, location=None, id_at_location=None, register=False, owner=None, ptr_id=None
      ):
  
          if owner is None:
              owner = self.owner
  
          if location is None:
              location = self.owner.id
  
          owner = self.owner.get_worker(owner)
          location = self.owner.get_worker(location)
  
          if id_at_location is None:
              id_at_location = self.id
  
          if ptr_id is None:
              if location != self.owner.id:
                  ptr_id = self.id
              else:
                  ptr_id = int(10e10 * random.random())
  
          # previous_pointer = owner.get_pointer_to(location, id_at_location)
          previous_pointer = None
  
          if previous_pointer is None:
              ptr = PointerTensor(
                  parent=self,
                  location=location,
                  id_at_location=id_at_location,
                  register=register,
                  owner=owner,
                  id=ptr_id,
              )
          else:
              ptr = previous_pointer
  
          return ptr
  
new_contents: import random
  
  from syft.frameworks.torch.tensors import PointerTensor
  
  import syft
  
  
  class TorchTensor:
      """
      This tensor is simply a more convenient way to add custom functions to
      all Torch tensor types.
      """
  
      def __init__(self):
          self.id = None
          self.owner = syft.local_worker
  
      def create_pointer(
          self, location=None, id_at_location=None, register=False, owner=None, ptr_id=None
      ):
  
          if owner is None:
              owner = self.owner
  
          if location is None:
              location = self.owner.id
  
          owner = self.owner.get_worker(owner)
          location = self.owner.get_worker(location)
  
          if id_at_location is None:
              id_at_location = self.id
  
          if ptr_id is None:
              if location != self.owner.id:
                  ptr_id = self.id
              else:
                  ptr_id = int(10e10 * random.random())
  
          # previous_pointer = owner.get_pointer_to(location, id_at_location)
          previous_pointer = None
  
          if previous_pointer is None:
              ptr = PointerTensor(
                  parent=self,
                  location=location,
                  id_at_location=id_at_location,
                  register=register,
                  owner=owner,
                  id=ptr_id,
              )
          else:
              ptr = previous_pointer
  
          return ptr
  
subject: Set local worker as default for SyftTensor owner