class_docstr: A multinomial random variable.
code: def __init__(self, space):
      rvs = lambda *args, **kwargs: multinomial.rvs(
          space.n_draws, *args, **kwargs
      )
      pdf = lambda x, *args, **kwargs: multinomial.pmf(
          x, space.n_draws, *args, **kwargs
      )
      super().__init__(space, rvs, pdf)
  
imports: from scipy.stats import dirichlet, multinomial
  import geomstats.backend
  from geomstats.algebra_utils import from_vector_to_diagonal_matrix
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.hypersphere import Hypersphere
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.information_geometry.base import InformationManifoldMixin, ScipyMultivariateRandomVariable
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 1 to create a new MultinomialRandomVariable object from inherited base classes: ScipyMultivariateRandomVariable with example: obj = MultinomialRandomVariable(space)