code: def test_get_noise_batch():
      batch_size = 16
      noise_shape = (
          batch_size,
          2,
      )
      data_shape = [
          (
              batch_size,
              1,
          )
      ]
      conditional_shape = [
          (
              batch_size,
              1,
          )
      ]
  
      gan = ExampleGAN(
          noise_shape,
          data_shape,
          conditional_shape,
          create_generator(noise_shape, conditional_shape),
          create_discriminator(data_shape, conditional_shape),
      )
      noise = gan.get_noise_batch(batch_size)
      assert noise.shape == (gan.noise_input_shape)
  
file_path: deepchem/deepchem/models/torch_models/tests/test_gan.py
imports: import deepchem
  import numpy
  import pytest
  import tempfile
  from flaky import flaky
label_desc: Use image node_id 4 for calling a global function with example usage: test_get_noise_batch() without return types