code: def test_accuracy_normal():
      _, model, (mu, _) = simple_model()
      with model:
          newstart = find_MAP(pm.Point(x=[-10.5, 100.5]))
          assert_allclose(
              newstart["x"],
              [mu, 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 3 for calling a global function with example usage: test_accuracy_normal() without return types