code: def test_jax_Composite_multi_output():
      x = vector("x")
  
      x_s = ps.float64("xs")
      outs = Elemwise(
          Composite(inputs=[x_s], outputs=[x_s + 1, x_s - 1])
      )(x)
  
      fgraph = FunctionGraph([x], outs)
      compare_jax_and_py(fgraph, [np.arange(10, dtype=config.floatX)])
  
imports: import numpy
  import pytest
  import pytensor.scalar.basic
  import pytensor.tensor
  from pytensor.configdefaults import config
  from pytensor.graph.fg import FunctionGraph
  from pytensor.graph.op import get_test_value
  from pytensor.scalar.basic import Composite
  from pytensor.tensor import as_tensor
  from pytensor.tensor.elemwise import Elemwise
  from pytensor.tensor.math import all
  from pytensor.tensor.math import betaincinv, cosh, erf, erfc, erfcinv, erfcx, erfinv, gammainccinv, gammaincinv, iv, log, log1mexp, polygamma, psi, sigmoid, softplus, tri_gamma
  from pytensor.tensor.type import matrix, scalar, vector
  from tests.link.jax.test_basic import compare_jax_and_py
  from pytensor.link.jax.dispatch import jax_funcify
label_desc: Use image node_id 5 for calling a global function with example usage: test_jax_Composite_multi_output() without return types