code: def from_config(cls, cp, section, variable_args):
          
          return super(UniformPowerLaw, cls).from_config(cp, section,
                                                         variable_args,
                                                         bounds_required=True)
docs: Returns a distribution based on a configuration file. The parameters
          for the distribution are retrieved from the section titled
          "[`section`-`variable_args`]" in the config file.
  
          Parameters
          ----------
          cp : pycbc.workflow.WorkflowConfigParser
              A parsed configuration file that contains the distribution
              options.
          section : str
              Name of the section in the configuration file.
          variable_args : str
              The names of the parameters for this distribution, separated by
              `prior.VARARGS_DELIM`. These must appear in the "tag" part
              of the section header.
  
          Returns
          -------
          Uniform
              A distribution instance from the pycbc.inference.prior module.