code: def dist(cls, n, p, *args, **kwargs):
      return super().dist([n, p], **kwargs)
  
imports: import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  import scipy.special
  from pytensor import config, function
  from pytensor.tensor.random.basic import multinomial
  from scipy import interpolate
  import pymc
  from pymc.distributions import Discrete
  from pymc.distributions.dist_math import SplineWrapper, check_parameters, clipped_beta_rvs, factln, i0e, incomplete_beta, multigammaln
  from pymc.logprob.utils import ParameterValueError
  from pymc.pytensorf import floatX
  from tests.helpers import verify_grad
label_desc: Use image node_id 1 for calling the MultinomialA obj's underlying member method code with example usage: obj.dist(cls, n, p) and returns: super