code: def make_predictions(
      params, net: bnn.BNN, x_test: jax.Array
  ) -> jax.Array:
      """Use a (batch of) parameters to make a prediction on x_test data."""
      return jax.vmap(lambda p: net.apply(p, x_test))(params)
  
imports: import functools
  from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
  import bayeux
  import jax
  import jax.numpy
  from jaxtyping import PyTree
  import matplotlib.pyplot
  import numpy
  import pandas
  from tensorflow_probability.python.experimental.autobnn import bnn
  from tensorflow_probability.python.experimental.autobnn import util
  from tensorflow_probability.python.experimental.timeseries import metrics
  import tensorflow_probability.substrates.jax
label_desc: Use image node_id 7 for calling a global function with example usage: make_predictions(params, net, x_test) and returns: jax