class_docstr: To parse Examples.
class_docstr_tok: ["To","parse","Examples","."]
code: def __init__(self, example_specs):
      self._example_specs = example_specs
      self._flat_example_specs = utils.flatten_nest_dict(
          self._example_specs
      )
      self._nested_feature_specs = _build_feature_specs(
          self._flat_example_specs
      )
      self.flat_feature_specs = utils.flatten_nest_dict(
          self._nested_feature_specs
      )
  
imports: from __future__ import annotations
  import abc
  from collections.abc import Iterable, Mapping, Sequence
  import dataclasses
  import re
  from typing import Any, Union
  import numpy
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.utils import dtype_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.proto import tf_example_pb2
  from tensorflow_datasets.proto import tf_feature_pb2
label_desc: Use image node_id 1 to create a new ExampleParser object from inherited base classes: Parser with example: obj = ExampleParser(example_specs)