class_docstr: Base class for dataset tests.
code: def textFileInitializer(self, vals):
      file = os.path.join(self.get_temp_dir(), "text_file_initializer")
      with open(file, "w") as f:
          f.write("\n".join(str(v) for v in vals) + "\n")
      return lookup_ops.TextFileInitializer(
          file,
          dtypes.int64,
          lookup_ops.TextFileIndex.LINE_NUMBER,
          dtypes.int64,
          lookup_ops.TextFileIndex.WHOLE_LINE,
      )
  
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 14 for calling the DatasetTestBase obj's underlying member method code with example usage: obj.textFileInitializer(vals) and returns: lookup_ops