code: def read_constraints_from_config(cp, transforms=None,
                                   constraint_section='constraint'):
      
      cons = []
      for subsection in cp.get_subsections(constraint_section):
          name = cp.get_opt_tag(constraint_section, "name", subsection)
          constraint_arg = cp.get_opt_tag(
              constraint_section, "constraint_arg", subsection)
          # get any other keyword arguments
          kwargs = {}
          section = constraint_section + "-" + subsection
          extra_opts = [key for key in cp.options(section)
                        if key not in ["name", "constraint_arg"]]
          for key in extra_opts:
              val = cp.get(section, key)
              if key == "required_parameters":
                  val = val.split(_VARARGS_DELIM)
              else:
                  try:
                      val = float(val)
                  except ValueError:
                      pass
              kwargs[key] = val
          cons.append(constraints.constraints[name](constraint_arg,
                                                    transforms=transforms,
                                                    **kwargs))
  
      return cons
docs: Loads parameter constraints from a configuration file.
  
      Parameters
      ----------
      cp : WorkflowConfigParser
          An open config parser to read from.
      transforms : list, optional
          List of transforms to apply to parameters before applying constraints.
      constraint_section : str, optional
          The section to get the constraints from. Default is 'constraint'.
  
      Returns
      -------
      list
          List of ``Constraint`` objects. Empty if no constraints were provided.