bdf67bc292175a81c63deca27a2056d566db050b,dipy/reconst/dti.py,,restore_fit_tensor,#Any#Any#Any#Any#Any#,1182

Before Change

        // Finally, converge on some solution and use it:
        this_dti = np.concatenate([np.ravel(x) for x in
                                   decompose_tensor(
                        from_lower_triangular(this_tensor[:6]).reshape(3,3))])

        dti_params[vox] = this_dti

    dti_params.shape = data.shape[:-1] + (12,)
    restore_params = dti_params
    return restore_params

After Change

                non_outlier_idx = np.where(residuals <= 3 * sigma)
                clean_design = design_matrix[non_outlier_idx]
                clean_sig = flat_data[vox][non_outlier_idx]
                if len(sigma>1):
                    this_sigma = sigma[non_outlier_idx]
                else:
                    this_sigma = sigma

Instances