code: def __init__(
      self,
      distr_output: DistributionOutput,
      prefix: Optional[str] = None,
  ) -> None:
      super().__init__()
      self.component_projection: gluon.HybridBlock
      with self.name_scope():
          self.proj_nan_prob = gluon.nn.HybridSequential()
          self.proj_nan_prob.add(
              gluon.nn.Dense(1, prefix=f"{prefix}_pi_", flatten=False)
          )
          self.proj_nan_prob.add(gluon.nn.HybridLambda("sigmoid"))
  
          self.component_projection = distr_output.get_args_proj()
  
          self.register_child(self.component_projection)
  
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 1 to create a new NanMixtureArgs object from inherited base classes: gluon with example: obj = NanMixtureArgs(distr_output, prefix)