code: def testNumpy(self):
      st1 = sparse_tensor.SparseTensor(
          [[0, 0], [0, 1]], [1.0, 3.0], [2, 2]
      )
      if not context.executing_eagerly():
          with self.assertRaises(ValueError):
              st1._numpy()
      else:
          self.assertAllEqual(st1._numpy(), [[1.0, 3.0], [0.0, 0.0]])
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.type_utils import fulltypes_for_flat_tensors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 7 for calling the SparseTensorTest obj's underlying member method code with example usage: obj.testNumpy() without return types