code: def testDisallowVariableCapture(self):
      def build_ds():
          test_var = variable_scope.get_variable(
              name="test_var", shape=(), use_resource=True
          )
          return dataset_ops.Dataset.range(5).flat_map(
              lambda _: dataset_ops.Dataset.from_tensor_slices(
                  [test_var]
              )
          )
  
      self.verify_error_on_save(
          build_ds, 5, errors.FailedPreconditionError
      )
  
imports: import random
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops.ragged import ragged_conversion_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 5 for calling the FlatMapCheckpointTest obj's underlying member method code with example usage: obj.testDisallowVariableCapture() and returns: dataset_ops