code: def test_filter_jit(donate, getkey):
      a = jrandom.normal(getkey(), (2, 3))
      b = jrandom.normal(getkey(), (3,))
      c = jrandom.normal(getkey(), (1, 4))
      general_tree = [
          1,
          True,
          object(),
          {"a": a, "tuple": (2.0, b)},
          c,
          eqx.nn.MLP(2, 2, 2, 2, key=getkey()),
      ]
      array_tree = [{"a": a, "b": b}, (c,)]
      mlp_add = jtu.tree_map(
          lambda u: u + 1 if eqx.is_array(u) else u, general_tree[-1]
      )
  
      array_tree_ = jtu.tree_map(jnp.copy, array_tree)
      general_tree_ = jtu.tree_map(
          lambda x: jnp.copy(x) if eqx.is_array(x) else x, general_tree
      )
  
      @eqx.filter_jit(donate=donate)
      def f(x):
          x = jtu.tree_map(lambda x: x + 1 if eqx.is_array(x) else x, x)
          return x
  
      assert jnp.all(a + 1 == f(jnp.copy(a)))
      f1 = f(array_tree_)
      assert jnp.all(f1[0]["a"] == a + 1)
      assert jnp.all(f1[0]["b"] == b + 1)
      assert jnp.all(f1[1][0] == c + 1)
      f2 = f(general_tree_)
      assert tree_allclose(f2[0], 1)
      assert tree_allclose(f2[1], True)
      assert tree_allclose(f2[2], general_tree[2])
      assert jnp.all(f2[3]["a"] == a + 1)
      assert tree_allclose(f2[3]["tuple"][0], 2.0)
      assert jnp.all(f2[3]["tuple"][1] == b + 1)
      assert jnp.all(f2[4] == c + 1)
      assert tree_allclose(f2[5], mlp_add)
  
imports: import warnings
  from typing import Union
  import equinox
  import jax
  import jax.numpy
  import jax.random
  import jax.tree_util
  import pytest
  from .helpers import tree_allclose
label_desc: Use image node_id 1 for calling a global function with example usage: test_filter_jit(donate, getkey) and returns: x