code: def test_simplex_accuracy():
      val = floatX(np.array([-30]))
      x = pt.vector("x")
      x.tag.test_value = val
      identity_f = pytensor.function(
          [x], tr.simplex.forward(tr.simplex.backward(x))
      )
      assert_allclose(val, identity_f(val), tol)
  
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 7 for calling a global function with example usage: test_simplex_accuracy() without return types