code: def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):
      inputs = tuple(
          np.array(x.syft_action_data, dtype=x.dtype)
          if isinstance(x, NumpyArrayObject)
          else x
          for x in inputs
      )
  
      result = getattr(ufunc, method)(*inputs, **kwargs)
      if type(result) is tuple:
          return tuple(
              NumpyArrayObject(
                  syft_action_data_cache=x, dtype=x.dtype, shape=x.shape
              )
              for x in result
          )
      else:
          return NumpyArrayObject(
              syft_action_data_cache=result,
              dtype=result.dtype,
              shape=result.shape,
          )
  
imports: from typing import Any
  from typing import ClassVar
  from typing import Type
  import numpy
  from ...serde.serializable import serializable
  from ...types.syft_migration import migrate
  from ...types.syft_object import SYFT_OBJECT_VERSION_1
  from ...types.syft_object import SYFT_OBJECT_VERSION_2
  from ...types.transforms import drop
  from ...types.transforms import make_set_default
  from .action_object import ActionObject
  from .action_object import ActionObjectV1
  from .action_object import BASE_PASSTHROUGH_ATTRS
  from .action_types import action_types
label_desc: Use image node_id 1 for calling the NumpyArrayObject obj's underlying member method code with example usage: obj.__array_ufunc__(ufunc, method) and returns: tuple, NumpyArrayObject