automl21/scs_neural/solver/neural_scs_batched.py [519:530]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        scaled_data = None
        if hasattr(multi_instance, "D"):
            D_select = multi_instance.D[index]
            E_select = multi_instance.E[index]
            sigma_select = multi_instance.sigma[index]
            rho_select = multi_instance.rho[index]
            b_orig = multi_instance.orig_b[index]
            c_orig = multi_instance.orig_c[index]
            scaled_data = [D_select, E_select, sigma_select, rho_select,
                           b_orig, c_orig]
        upd_multi_instance = ScsMultiInstance(A_select, b_select, c_select,
                                              cones_select,
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



automl21/scs_neural/solver/neural_scs_batched.py [551:562]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        scaled_data = None
        if hasattr(multi_instance, "D"):
            D_select = multi_instance.D[index]
            E_select = multi_instance.E[index]
            sigma_select = multi_instance.sigma[index]
            rho_select = multi_instance.rho[index]
            b_orig = multi_instance.orig_b[index]
            c_orig = multi_instance.orig_c[index]
            scaled_data = [D_select, E_select, sigma_select, rho_select, 
                           b_orig, c_orig]
        upd_multi_instance = ScsMultiInstance(A_select, b_select, c_select,
                                              cones_select,
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



