9b43479f3d34e6cbcaf20c029e76f8e8db252399,pymc3/gp/cov.py,Gibbs,__init__,#Gibbs#Any#Any#Any#Any#,301

Before Change

        if active_dims is None:
            assert input_dim == 1, "Must have one dimensional input"
        else:
            assert len(active_dims) == 1, "Must have one dimensional input"
        assert callable(lengthscale_func), "Must be a function"
        self.ell = handle_args(lengthscale_func, args)
        self.args = args

After Change

    
    def __init__(self, input_dim, lengthscale_func, args=None, active_dims=None):
        Covariance.__init__(self, input_dim, active_dims)
        if active_dims is not None:
            if input_dim != 1 or sum(active_dims) == 1:
                raise NotImplementedError("Higher dimensional inputs are untested")
        else:
            if input_dim != 1:
                raise NotImplementedError("Higher dimensional inputs are untested")
        assert callable(lengthscale_func), "Must be a callable"
        self.ell = handle_args(lengthscale_func, args)
        self.args = args

Instances