How to use the bilby.core.likelihood.Likelihood function in bilby

import numpy as np
import pandas as pd
from tqdm import tqdm

from bilby.core.utils import logger
from bilby.core.likelihood import Likelihood
from bilby.hyper.model import Model

from .cupy_utils import CUPY_LOADED, to_numpy, xp

INF = xp.nan_to_num(xp.inf)


class HyperparameterLikelihood(Likelihood):
    """
    A likelihood for inferring hyperparameter posterior distributions with
    including selection effects.

    See Eq. (34) of https://arxiv.org/abs/1809.02293 for a definition.

    Parameters
    ----------
    posteriors: list
        An list of pandas data frames of samples sets of samples.
        Each set may have a different size.
    hyper_prior: `bilby.hyper.model.Model`
        The population model, this can alternatively be a function.
    sampling_prior: `bilby.hyper.model.Model`
        The sampling prior, this can alternatively be a function.
    log_evidences: list, optional