code: def test_nested_loc_transform_multiple_rvs_fails2(self):
      x_rv1 = pt.random.normal(name="x_rv1")
      x_rv2 = pt.cos(pt.random.normal(name="x_rv2"))
      y_rv = x_rv1 + x_rv2
  
      y = y_rv.clone()
  
      with pytest.raises(RuntimeError, match="could not be derived"):
          conditional_logp({y_rv: y})
  
imports: import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  import scipy
  import scipy.special
  from pytensor.graph.basic import equal_computations
  from pymc.distributions.continuous import Cauchy, ChiSquared
  from pymc.logprob.basic import conditional_logp, icdf, logcdf, logp
  from pymc.logprob.transforms import ArccoshTransform, ArcsinhTransform, ArctanhTransform, ChainedTransform, CoshTransform, ErfcTransform, ErfcxTransform, ErfTransform, ExpTransform, LocTransform, LogTransform, ScaleTransform, SinhTransform, TanhTransform, Transform
  from pymc.logprob.utils import ParameterValueError
  from pymc.testing import Rplusbig, Vector, assert_no_rvs
  from tests.distributions.test_transform import check_jacobian_det
label_desc: Use image node_id 6 for calling the TestLocScaleRVTransform obj's underlying member method code with example usage: obj.test_nested_loc_transform_multiple_rvs_fails2() without return types