class_docstr: Fake ImageDecoderInterface implementation for testing.
class_docstr_tok: ["Fake","ImageDecoderInterface","implementation","for","testing","."]
code: def get_sizes(self, value_list):
      loaded_metadata = [json.loads(value) for value in value_list]
      return np.array(
          [[meta["height"], meta["width"]] for meta in loaded_metadata]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import json
  import os
  import pickle
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import pyarrow
  import tensorflow
  from tensorflow_data_validation.statistics.generators import image_stats_generator
  from tensorflow_data_validation.utils import test_util
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 3 for calling the FakeImageDecoder obj's underlying member method code with example usage: obj.get_sizes(value_list) and returns: np