docstr: Performs equivalence check on Poisson-distributed random variables.
docstr_tok: ["Performs","equivalence","check","on","Poisson-distributed","random","variables","."]
code: def compare_poisson_equivalence(self, expected, actual):
      """Performs equivalence check on Poisson-distributed random variables."""
      delta = np.sqrt(expected) * self._test_sigma_compare_tolerance
      self.assertAllClose(expected, actual, atol=delta)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  import tensorflow
  from tensorflow_graphics.geometry.representation.mesh import sampler
  from tensorflow_graphics.geometry.representation.mesh.tests import mesh_test_utils
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 2 for calling the MeshSamplerTest obj's underlying member method code with example usage: obj.compare_poisson_equivalence(expected, actual) without return types