class_docstr: A pickable version of getitem that can be fed to Beam pipelines.
class_docstr_tok: ["A","pickable","version","of","getitem","that","can","be","fed","to","Beam","pipelines","."]
code: def __call__(self, i):
      return self.decode_fn(
          self.nest([v[i] for v in self.flat_example])
      )
  
imports: from __future__ import annotations
  import dataclasses
  import functools
  from typing import Any, Callable, Dict, Iterator, Union
  from tensorflow_datasets.core.data_sources import python
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.features import sequence_feature
  from tensorflow_datasets.core.features import tensor_feature
  from tensorflow_datasets.core.features import top_level_feature
  from tensorflow_datasets.core.utils import py_utils
  from tensorflow_datasets.core.utils import tree_utils
  from tensorflow_datasets.core.utils import type_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 1 for calling the _getitem obj's underlying member method code with example usage: obj.__call__(i) and returns: self