code: def test_icdf_discrete():
      p = 0.1
      value = 0.9
      dist = pm.Geometric.dist(p=p)
      dist_icdf = icdf(dist, value)
      np.testing.assert_almost_equal(
          dist_icdf.eval(),
          sp.geom.ppf(value, p),
      )
  
imports: import warnings
  import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  import scipy.stats.distributions
  from pytensor.graph.basic import ancestors, equal_computations
  from pytensor.tensor.random.op import RandomVariable
  from pytensor.tensor.subtensor import AdvancedIncSubtensor, AdvancedIncSubtensor1, IncSubtensor
  import pymc
  from pymc.logprob.basic import conditional_logp, icdf, logcdf, logp, transformed_conditional_logp
  from pymc.logprob.transforms import LogTransform
  from pymc.logprob.utils import replace_rvs_by_values
  from pymc.testing import assert_no_rvs
label_desc: Use image node_id 18 for calling a global function with example usage: test_icdf_discrete() without return types