code: def testCast(self):
      indices = constant_op.constant([[0], [1], [2]], dtypes.int64)
      values = constant_op.constant(np.array([1, 2, 3], np.int64))
      shape = constant_op.constant([3], dtypes.int64)
      st = sparse_tensor.SparseTensor(indices, values, shape)
      st_cast = math_ops.cast(st, dtypes.float32)
  
      self.assertAllEqual(st_cast.indices, [[0], [1], [2]])
      self.assertAllEqual(
          st_cast.values, np.array([1, 2, 3], np.float32)
      )
      self.assertAllEqual(st_cast.dense_shape, [3])
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_state_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the SparseTensorCastTest obj's underlying member method code with example usage: obj.testCast() without return types