code: def testCastToTypeOfVariable(self):
      with self.cached_session():
          x = variables.Variable(5, dtype=dtypes.float32)
          y = variables.Variable(True, dtype=dtypes.bool)
          cast = math_ops.cast(y, x.dtype)
          self.evaluate(variables.global_variables_initializer())
          self.assertEqual(1.0, self.evaluate(cast))
  
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 16 for calling the CastOpTest obj's underlying member method code with example usage: obj.testCastToTypeOfVariable() without return types