code: def test_numba_Cholesky(lower):
      x = set_test_value(
          pt.tensor(dtype=config.floatX, shape=(3, 3)),
          (lambda x: x.T.dot(x))(
              rng.random(size=(3, 3)).astype(config.floatX)
          ),
      )
  
      g = pt.linalg.cholesky(x, lower=lower)
      g_fg = FunctionGraph(outputs=[g])
  
      compare_numba_and_py(
          g_fg,
          [
              i.tag.test_value
              for i in g_fg.inputs
              if not isinstance(i, (SharedVariable, Constant))
          ],
      )
  
file_path: pytensor/tests/link/numba/test_slinalg.py
imports: import re
  import numpy
  import pytest
  import pytensor
  import pytensor.tensor
  from pytensor import config
  from pytensor.compile import SharedVariable
  from pytensor.graph import Constant, FunctionGraph
  from tests.link.numba.test_basic import compare_numba_and_py
  from tests.tensor.test_extra_ops import set_test_value
label_desc: Use image node_id 4 for calling a global function with example usage: test_numba_Cholesky(lower) without return types