code: def domain_map(cls, F, alpha, beta, one_probability):
      return super().domain_map(F, alpha, beta, one_probability)
  
imports: from typing import Dict, Tuple
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .beta import Beta
  from .deterministic import Deterministic
  from .distribution import getF, softplus
  from .distribution_output import DistributionOutput
  from .mixture import MixtureDistribution
label_desc: Use image node_id 1 for calling the OneInflatedBetaOutput obj's underlying member method code with example usage: obj.domain_map(cls, F, alpha, beta, one_probability) and returns: super