code: def _add_binary_passthrough_function(name):
      def binary_wrapper_function(self, value, *args, **kwargs):
          result = self.shallow_copy()
          if isinstance(value, MPCTensor):
              value = value._tensor
          result._tensor = getattr(result._tensor, name)(
              value, *args, **kwargs
          )
          return result
  
      setattr(MPCTensor, name, binary_wrapper_function)
  
imports: import torch
  from .None import communicator
  from .common.tensor_types import is_tensor
  from .common.util import torch_stack
  from .config import cfg
  from .cryptensor import CrypTensor
  from .cuda import CUDALongTensor
  from .encoder import FixedPointEncoder
  from .primitives.binary import BinarySharedTensor
  from .primitives.converters import convert
  from .ptype import ptype
label_desc: Use image node_id 2 for calling a global function with example usage: _add_binary_passthrough_function(name) and returns: result