

def loglkl(self, cosmo, data):
    xHI_reio = (1.0 - xHI_reio.ionization_fraction(self.z_reio))
    xHI_noreio = (1.0 - cosmo.ionization_fraction(self.z_noreio))
    lkl = 0
    if (xHI_reio > self.xHI_max):
        lkl = data.boundary_loglike
    if (xHI_noreio < self.xHI_min):
        lkl = data.boundary_loglike
    return lkl

dataset/ETHPy150Open baudren/montepython_public/montepython/likelihoods/gunn_peterson/__init__.py gunn_peterson.loglkl/VarMisuse@19/27 `cosmo`->`xHI_reio`