code: def test_multipath_pathfinder():
      target = tfd.Independent(
          tfd.StudentT(
              2.0, loc=jnp.array([1.0, 2]), scale=jnp.array([1.0, 1.0])
          ),
          reinterpreted_batch_ndims=1,
      ).log_prob
  
      key, init_key = jax.random.split(jax.random.PRNGKey(3))
      init = jax.random.normal(init_key, (5, 2))
      draws = pathfinder.multipath_pathfinder(
          target_density=target,
          initial_values=init,
          key=key,
          lbfgs_max_iters=20,
          num_pathfinder_draws=10,
          num_draws=10,
      )
      assert draws.shape == (10, 2)
  
file_path: probability/discussion/pathfinder/pathfinder_test.py
imports: import jax
  import jax.numpy
  import numpy
  import pytest
  from discussion.pathfinder import pathfinder
  import tensorflow_probability.substrates.jax
label_desc: Use image node_id 6 for calling a global function with example usage: test_multipath_pathfinder() without return types