code: def test_accuracy_non_normal():
      _, model, (mu, _) = non_normal(4)
      with model:
          newstart = find_MAP(pm.Point(x=[0.5, 0.01, 0.95, 0.99]))
          assert_allclose(
              newstart["x"],
              mu,
              atol=select_by_precision(float64=1e-5, float32=1e-4),
          )
  
imports: import re
  import numpy
  import pytest
  from numpy.testing import assert_allclose
  import pymc
  from pymc.exceptions import ImputationWarning
  from pymc.step_methods.metropolis import tune
  from pymc.testing import select_by_precision
  from pymc.tuning import find_MAP
  from tests import models
  from tests.models import non_normal, simple_arbitrary_det, simple_model
label_desc: Use image node_id 4 for calling a global function with example usage: test_accuracy_non_normal() without return types