

def loglkl(self, cosmo, data):
    h = cosmo.h()
    amplitude = (data.mcmc_parameters['amplitude']['current'] * data.mcmc_parameters['amplitude']['scale'])
    loglkl = (((- 0.5) * ((h - (amplitude * self.h)) ** 2)) / (self.sigma ** 2))
    return h

dataset/ETHPy150Open baudren/montepython_public/montepython/likelihoods/test_nuisance1/__init__.py test_nuisance1.loglkl/VarMisuse@82/101 `loglkl`->`h`