code: def test_logcdf_helper():
      value = pt.vector("value")
      x = pm.Normal.dist(0, 1)
  
      x_logcdf = _logcdf_helper(x, value)
      np.testing.assert_almost_equal(
          x_logcdf.eval({value: [0, 1]}), sp.norm(0, 1).logcdf([0, 1])
      )
  
      x_logcdf = _logcdf_helper(x, [0, 1])
      np.testing.assert_almost_equal(
          x_logcdf.eval(), sp.norm(0, 1).logcdf([0, 1])
      )
  
file_path: pymc/tests/logprob/test_abstract.py
imports: import re
  import numpy
  import pytensor.tensor
  import pytest
  import scipy.stats.distributions
  from pytensor.scalar import Exp, exp
  import pymc
  from pymc.logprob.abstract import MeasurableElemwise, MeasurableVariable, _logcdf_helper
  from pymc.logprob.basic import logcdf
label_desc: Use image node_id 3 for calling a global function with example usage: test_logcdf_helper() without return types