code: def _(dist: PoissonDistribution):
      return pymc.Poisson("X", mu=float(dist.lamda))
  
imports: from functools import singledispatch
  from sympy.external import import_module
  from sympy.stats.crv_types import BetaDistribution, CauchyDistribution, ChiSquaredDistribution, ExponentialDistribution, GammaDistribution, LogNormalDistribution, NormalDistribution, ParetoDistribution, UniformDistribution, GaussianInverseDistribution
  from sympy.stats.drv_types import PoissonDistribution, GeometricDistribution, NegativeBinomialDistribution
  from sympy.stats.frv_types import BinomialDistribution, BernoulliDistribution
label_desc: Use image node_id 14 for calling a global function with example usage: _(dist) and returns: pymc