971db0748a9d5d07a6d6102c656b2c3b043e9231,pymc3/step_methods/hmc/base_hmc.py,BaseHMC,__init__,#BaseHMC#Any#Any#Any#Any#Any#Any#Any#Any#Any#,14

Before Change

        vars = inputvars(vars)

        if scaling is None and potential is None:
            scaling = floatX(np.ones(model.dict_to_array(model.test_point).size))

        if isinstance(scaling, dict):
            scaling = guess_scaling(Point(scaling, model=model), model=model, vars=vars)

After Change

        if scaling is None and potential is None:
            varnames = [var.name for var in vars]
            size = sum(v.size for k, v in model.test_point.items() if k in varnames)
            scaling = floatX(np.ones(size))

        if isinstance(scaling, dict):
            scaling = guess_scaling(Point(scaling, model=model), model=model, vars=vars)

Instances