code: def distribution(
      self,
      distr_args,
      loc: Optional[torch.Tensor] = None,
      scale: Optional[torch.Tensor] = None,
  ) -> GeneralizedPareto:
      return self.distr_cls(
          *distr_args,
      )
  
imports: from numbers import Number
  from typing import Dict, Optional, Tuple, cast
  import numpy
  import torch
  from torch.distributions import Distribution, constraints
  from torch.distributions.utils import broadcast_all
  from gluonts.core.component import validated
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 3 for calling the GeneralizedParetoOutput obj's underlying member method code with example usage: obj.distribution(distr_args, loc, scale) and returns: self