code: def test_json_loader():
      current_dir = os.path.dirname(os.path.abspath(__file__))
      input_file = os.path.join(
          current_dir, "inorganic_crystal_sample_data.json"
      )
      featurizer = SineCoulombMatrix(max_atoms=5)
      loader = JsonLoader(
          tasks=["e_form"],
          feature_field="structure",
          id_field="formula",
          label_field="e_form",
          featurizer=featurizer,
      )
  
      dataset = loader.create_dataset(input_file, shard_size=1)
  
      a = [
          4625.32086965,
          6585.20209678,
          61.00680193,
          48.72230922,
          48.72230922,
      ]
  
      assert dataset.X.shape == (5, 5)
      assert np.allclose(dataset.X[0], a, atol=0.5)
  
      dataset = loader.create_dataset(input_file, shard_size=None)
      assert dataset.X.shape == (5, 5)
  
      dataset = loader.create_dataset(
          [input_file, input_file], shard_size=5
      )
      assert dataset.X.shape == (10, 5)
  
imports: import os
  import numpy
  from deepchem.data.data_loader import JsonLoader
  from deepchem.feat import SineCoulombMatrix
label_desc: Use image node_id 1 for calling a global function with example usage: test_json_loader() without return types