code: def fixture_json():
      """fixture_json"""
      data = """{
          "R": {
              "Foo": 208.82240295410156,
              "Bar": 93
              },
          "Background": [
              "~/0109.jpg",
              "~/0110.jpg"
              ],
          "Focal Length": 36.9439697265625,
          "Location": [
              7.8685874938964844,
              -4.7373886108398438,
              -0.038147926330566406],
          "Rotation": [
              -4.592592716217041,
              -4.4698805809020996,
              -6.9197754859924316],
          "Valid": true,
          "Boundary": [[10, 20],[30, 40]]    
      }
      """
      value = {
          "R": {
              "Foo": tf.constant(208.82240295410156, tf.float64),
              "Bar": tf.constant(93, tf.int64),
          },
          "Background": (
              tf.constant("~/0109.jpg", tf.string),
              tf.constant("~/0110.jpg", tf.string),
          ),
          "Location": tf.constant(
              [
                  7.8685874938964844,
                  -4.7373886108398438,
                  -0.038147926330566406,
              ],
              tf.float64,
          ),
          "Rotation": tf.constant(
              [
                  -4.592592716217041,
                  -4.4698805809020996,
                  -6.9197754859924316,
              ],
              tf.float64,
          ),
          "Valid": tf.constant(True, tf.bool),
          "Boundary": tf.constant([[10, 20], [30, 40]], tf.int64),
      }
      specs = {
          "R": {
              "Foo": tf.TensorSpec(tf.TensorShape([]), tf.float64),
              "Bar": tf.TensorSpec(tf.TensorShape([]), tf.int64),
          },
          "Background": (
              tf.TensorSpec(tf.TensorShape([]), tf.string),
              tf.TensorSpec(tf.TensorShape([]), tf.string),
          ),
          "Location": tf.TensorSpec(tf.TensorShape([3]), tf.float64),
          "Rotation": tf.TensorSpec(tf.TensorShape([3]), tf.float64),
          "Valid": tf.TensorSpec(tf.TensorShape([]), tf.bool),
          "Boundary": tf.TensorSpec(tf.TensorShape([2, 2]), tf.int64),
      }
  
      return data, value, specs
  
file_path: io/tests/test_serialization.py
imports: import os
  import json
  import numpy
  import pytest
  import tensorflow
  import tensorflow_io
label_desc: Use image node_id 2 for calling a global function with example usage: fixture_json() and returns: data,  value,  specs