code: def test_str_repr(self):
      for str_format in self.formats:
          for dist, text in zip(
              self.distributions, self.expected[str_format]
          ):
              assert dist.str_repr(*str_format) == text
  
          model_text = self.model.str_repr(*str_format)
          for text in self.expected[str_format]:
              if str_format[0] == "latex":
                  for segment in text.strip("$").split(r"\sim"):
                      assert segment in model_text
              else:
                  assert text in model_text
  
file_path: pymc/tests/test_printing.py
imports: import numpy
  from pytensor.tensor.random import normal
  from pymc import Bernoulli, Censored, HalfCauchy, Mixture, StudentT
  from pymc.distributions import Dirichlet, DirichletMultinomial, HalfNormal, KroneckerNormal, MvNormal, NegativeBinomial, Normal, Uniform, ZeroInflatedPoisson
  from pymc.math import dot
  from pymc.model import Deterministic, Model, Potential
  from pymc.pytensorf import floatX
label_desc: Use image node_id 2 for calling the BaseTestStrAndLatexRepr obj's underlying member method code with example usage: obj.test_str_repr() without return types