def METHOD_NAME():
    data = np.loadtxt("./benchmarks/data/haloprofile_einasto_colossus.txt")
    a = 1.0
    halomass = 6e13
    concentration = 5
    mDelta = 200
    rmin = 0.01
    rmax = 100
    r = np.exp(
        np.log(rmin) +
        np.log(rmax/rmin) * np.arange(data.shape[0]) / (data.shape[0]-1))
    mdef = ccl.halos.MassDef(mDelta, 'matter')
    c = ccl.halos.ConcentrationConstant(c=concentration, mass_def=mdef)
    p = ccl.halos.HaloProfileEinasto(mass_def=mdef, concentration=c,
                                     truncated=False)
    prof = p.real(COSMO, r, halomass, a)
    tol = np.clip(np.abs(HALOPROFILE_TOLERANCE * data[:, 1]), 1e-12, np.inf)
    err = np.abs(prof - data[:, 1])
    assert np.all(err <= tol)