code: def distribution(
      self,
      distr_args,
      loc: Optional[Tensor] = None,
      scale: Optional[Tensor] = None,
      **kwargs,
  ) -> MixtureDistribution:
      mixture_probs = distr_args[0]
      component_args = distr_args[1:]
      return MixtureDistribution(
          mixture_probs=mixture_probs,
          components=[
              do.distribution(args, loc=loc, scale=scale)
              for do, args in zip(self.distr_outputs, component_args)
          ],
      )
  
imports: from typing import List, Optional, Tuple
  import mxnet
  import numpy
  from mxnet import gluon
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .distribution import MAX_SUPPORT_VAL, Distribution, _expand_param, _index_tensor, getF
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 3 for calling the MixtureDistributionOutput obj's underlying member method code with example usage: obj.distribution(distr_args, loc, scale) and returns: MixtureDistribution