code: def distribution(
      self,
      distr_args,
      loc: Optional[Tensor] = None,
      scale: Optional[Tensor] = None,
      **kwargs,
  ) -> MixtureDistribution:
      nan_prob = distr_args[0]
      component_args = distr_args[1]
      return NanMixture(
          nan_prob=nan_prob,
          distribution=self.distr_output.distribution(
              component_args, loc=loc, scale=scale
          ),
      )
  
imports: from typing import Optional, Tuple
  from mxnet import gluon
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .deterministic import Deterministic
  from .distribution import Distribution, getF, nans_like
  from .distribution_output import DistributionOutput
  from .mixture import MixtureDistribution
label_desc: Use image node_id 3 for calling the NanMixtureOutput obj's underlying member method code with example usage: obj.distribution(distr_args, loc, scale) and returns: NanMixture