code: def testInfiniteRepeat(self, elements, count):
      dataset = dataset_ops.Dataset.range(elements).repeat(count=count)
  
      # Datasets with infinite cardinality do not support random access.
      with self.assertRaises(errors.FailedPreconditionError):
          self.evaluate(random_access.at(dataset, index=0))
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  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 dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the RepeatRandomAccessTest obj's underlying member method code with example usage: obj.testInfiniteRepeat(elements, count) without return types