code: def test_chain_jacob_det():
      chain_tranf = tr.Chain([tr.logodds, tr.ordered])
      check_jacobian_det(
          chain_tranf,
          Vector(R, 4),
          pt.vector,
          floatX(np.zeros(4)),
          elemwise=False,
      )
  
imports: import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  from numpy.testing import assert_allclose, assert_array_equal
  from pytensor.tensor.variable import TensorConstant
  import pymc
  import pymc.distributions.transforms
  from pymc.logprob.basic import transformed_conditional_logp
  from pymc.logprob.transforms import Transform
  from pymc.pytensorf import floatX, jacobian
  from pymc.testing import Circ, MultiSimplex, R, Rminusbig, Rplusbig, Simplex, SortedVector, Unit, UnitSortedVector, Vector
label_desc: Use image node_id 20 for calling a global function with example usage: test_chain_jacob_det() without return types