code: def _(dist: ParetoDistribution, size, rand_state):
      return (
          numpy.random.pareto(a=float(dist.alpha), size=size) + 1
      ) * float(dist.xm)
  
imports: from functools import singledispatch
  from sympy.external import import_module
  from sympy.stats.crv_types import BetaDistribution, ChiSquaredDistribution, ExponentialDistribution, GammaDistribution, LogNormalDistribution, NormalDistribution, ParetoDistribution, UniformDistribution, FDistributionDistribution, GumbelDistribution, LaplaceDistribution, LogisticDistribution, RayleighDistribution, TriangularDistribution
  from sympy.stats.drv_types import GeometricDistribution, PoissonDistribution, ZetaDistribution
  from sympy.stats.frv_types import BinomialDistribution, HypergeometricDistribution
label_desc: Use image node_id 13 for calling a global function with example usage: _(dist, size, rand_state) and returns: unknown