How to use the pelicun.control.Assessment function in pelicun

DV_INJ_dict[i].loc[:,
                                (FG._ID, PG_ID, d_tag)] = INJ_i

                                # remove the useless columns from DV_INJ
        for i in range(self._inj_lvls):
            DV_INJ = DV_INJ_dict[i]
            DV_INJ_dict[i] = DV_INJ.loc[:, (DV_INJ != 0.0).any(axis=0)]

        # sort the columns to enable index slicing later
        for i in range(self._inj_lvls):
            DV_INJ_dict[i] = DV_INJ_dict[i].sort_index(axis=1, ascending=True)

        return DV_INJ_dict


class HAZUS_Assessment(Assessment):
    """
    An Assessment class that implements the damage and loss assessment method
    following the HAZUS Technical Manual and the HAZUS software.

    Parameters
    ----------
    hazard:  {'EQ', 'HU'}
        Identifies the type of hazard. EQ corresponds to earthquake, HU
        corresponds to hurricane.
        default: 'EQ'.
    inj_lvls: int
        Defines the discretization used to describe the severity of injuries.
        The HAZUS earthquake methodology uses 4 levels.
        default: 4
    """
    def __init__(self, hazard='EQ', inj_lvls = 4):

COV_mod = np.outer(sig_mod, sig_mod) * demand_RV.corr
            else:
                COV_mod = np.sqrt(demand_RV.COV**2. + self.beta_tot**2.)

            # redefine the random variable
            demand_RV = RandomVariable(
                ID=200,
                dimension_tags=demand_RV.dimension_tags,
                distribution_kind=demand_RV.distribution_kind,
                theta=demand_RV.theta,
                COV=COV_mod)

        return demand_RV


class FEMA_P58_Assessment(Assessment):
    """
    An Assessment class that implements the loss assessment method in FEMA P58.
    """
    def __init__(self, inj_lvls = 2):
        super(FEMA_P58_Assessment, self).__init__()

        # constants for the FEMA-P58 methodology
        self._inj_lvls = inj_lvls
        self._hazard = 'EQ'
        self._assessment_type = 'P58'

    def read_inputs(self, path_DL_input, path_EDP_input, verbose=False):
        """
        Read and process the input files to describe the loss assessment task.

        Parameters