class_docstr: Cache coder for the approximate vocabulary accumulator.
code: def encode_cache(
      self, accumulator: sketches.MisraGriesSketch
  ) -> bytes:
      return accumulator.Serialize()
  
imports: from typing import Any, Collection, List, Optional, Tuple, Union, Iterable, Sequence
  import numpy
  import pyarrow
  import tensorflow
  from tensorflow_transform import analyzer_nodes
  from tensorflow_transform import analyzers
  from tensorflow_transform import common
  from tensorflow_transform import common_types
  from tensorflow_transform import nodes
  from tensorflow_transform import tf_utils
  from tfx_bsl import sketches
  from tfx_bsl.types import tfx_namedtuple
  from typing_extensions import Protocol
label_desc: Use image node_id 1 for calling the _MisraGriesSketchCoder obj's underlying member method code with example usage: obj.encode_cache(accumulator) and returns: accumulator