code: def get_fake_batch_and_predictions():
      """Generates a fake `batch`."""
      targets = jnp.array(
          [
              [2.0, 1.0, 0.0, 1.0],
              [2.0, 1.0, 0.0, 1.0],
              [5.0, 7.0, 0.0, 1.0],
          ]
      )
      predictions = jnp.array(
          [
              [2.0, 0.0, 0.0, 1.0],
              [2.0, 1.0, 0.0, 1.0],
              [4.0, 10.0, 0.0, 1.0],
          ]
      )
      fake_batch = {"inputs": None, "targets": targets}
      return fake_batch, predictions
  
file_path: scenic/scenic/model_lib/base_models/tests/test_regression_model.py
imports: from absl.testing import absltest
  from flax import jax_utils
  import jax
  import jax.numpy
  import ml_collections
  from scenic.model_lib.base_models import regression_model
label_desc: Use image node_id 1 for calling a global function with example usage: get_fake_batch_and_predictions() and returns: fake_batch,  predictions