code: def build_model(self, distfam, params, size, transform, initval=None):
      if initval is not None:
          initval = pm.floatX(initval)
      with pm.Model() as m:
          distfam(
              "x",
              size=size,
              transform=transform,
              initval=initval,
              **params,
          )
      return m
  
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 1 for calling the TestElementWiseLogp obj's underlying member method code with example usage: obj.build_model(distfam, params, size, transform, initval) and returns: m