class_docstr: Base class for dataset tests.
docstr: Evaluates `get_next` until end of input, returning the results.
docstr_tok: ["Evaluates","`","get_next","`","until","end","of","input",",","returning","the","results","."]
code: def getIteratorOutput(self, get_next):
      """Evaluates `get_next` until end of input, returning the results."""
      results = []
      while True:
          try:
              results.append(self.evaluate(get_next()))
          except errors.OutOfRangeError:
              break
      return results
  
imports: import os
  import random
  import re
  from tensorflow.python.data.experimental.ops import lookup_ops
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import test_mode
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import structure
  from tensorflow.python.eager import context
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  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.ops import array_ops
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the DatasetTestBase obj's underlying member method code with example usage: obj.getIteratorOutput(get_next) and returns: results