code: def distribution(
      self,
      distr_args,
      loc: Optional[torch.Tensor] = None,
      scale: Optional[torch.Tensor] = None,
  ) -> BinnedUniforms:
      return self.distr_cls(
          self.bins_lower_bound,
          self.bins_upper_bound,
          distr_args,
          self.num_bins,
      )
  
imports: from typing import Dict, Optional, Tuple, cast
  import torch
  import torch.nn.functional
  from torch.distributions import Distribution, constraints
  from gluonts.core.component import validated
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 3 for calling the BinnedUniformsOutput obj's underlying member method code with example usage: obj.distribution(distr_args, loc, scale) and returns: self