da1ce369bffb6c2313f7e41089f0e2ce6b83be98,pymc3/gp/cov.py,Combination,merge_factors,#Combination#Any#Any#Any#,100

Before Change

        for factor in self.factor_list:
            if isinstance(factor, Covariance):
                factor_list.append(factor(X, Z, diag))
            elif hasattr(factor, "ndim"):
                if diag:
                    factor_list.append(tt.diag(factor))
                else:

After Change

            // if factor is a numpy array
            if isinstance(factor, np.ndarray):
                if np.ndim(factor) == 2:
                    if diag:
                        factor_list.append(np.diag(factor))
                        continue

            // if factor is a theano variable with ndim attribute
            if isinstance(factor, (tt.TensorConstant,
                                     tt.TensorVariable,
                                     tt.sharedvar.TensorSharedVariable)):
                if factor.ndim == 2:

Instances