class_docstr: `FeatureConnector` for text, encoding to integers with a `TextEncoder`.
docstr: Conversion list[int] => decoded string.
docstr_tok: ["Conversion","list","[","int","]","=",">","decoded","string","."]
code: def ints2str(self, int_values):
      """Conversion list[int] => decoded string."""
      if not self._encoder:
          raise ValueError(
              "Text.ints2str is not available because encoder hasn't been defined."
          )
      return self._encoder.decode(int_values)
  
imports: import html
  import os
  import textwrap
  from typing import Union
  from absl import logging
  from etils import epath
  import numpy
  from tensorflow_datasets.core.deprecated import text
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.features import tensor_feature
  from tensorflow_datasets.core.proto import feature_pb2
  from tensorflow_datasets.core.utils import type_utils
label_desc: Use image node_id 7 for calling the Text obj's underlying member method code with example usage: obj.ints2str(int_values) and returns: self