code: def test_weak_tensor_eager_methods(self):
      wt = WeakTensor.from_tensor(constant_op.constant(2, dtypes.int32))
      b = [1.0, 2.0], [3.0, 4.0]
      b_wt = WeakTensor.from_tensor(
          constant_op.constant(b, dtypes.float32)
      )
  
      self.assertEqual(complex(wt), complex(2))
      self.assertEqual(int(wt), int(2))
      self.assertEqual(float(wt), float(2))
      self.assertEqual(wt.__index__(), int(2))
      self.assertEqual(wt.numpy(), 2)
      self.assertEqual(format(wt, "b"), "10 weakly typed")
      self.assertEqual(np.array(wt), 2)
      self.assertAllEqual(np.array(b_wt), np.array(b, dtype=np.float32))
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import extension_type
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.weak_tensor import EagerWeakTensor
  from tensorflow.python.framework.weak_tensor import GraphWeakTensor
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.module import module
  from tensorflow.python.platform import googletest
  from tensorflow.python.saved_model.load import load
  from tensorflow.python.saved_model.save import save
  from tensorflow.python.types import core
label_desc: Use image node_id 4 for calling the WeakTensorTest obj's underlying member method code with example usage: obj.test_weak_tensor_eager_methods() without return types