def _read_SCF(self):
        """
        Parses both old and new SCFs.
        """
        if self.data.get('using_GEN_SCFMAN', []):
            if "SCF_failed_to_converge" in self.data.get("errors"):
                footer_pattern = r"^\s*gen_scfman_exception: SCF failed to converge"
            else:
                footer_pattern = r"^\s*\-+\n\s+SCF time"
            header_pattern = r"^\s*\-+\s+Cycle\s+Energy\s+(?:(?:DIIS)*\s+[Ee]rror)*(?:RMS Gradient)*\s+\-+(?:\s*\-+\s+OpenMP\s+Integral\s+computing\s+Module\s+(?:Release:\s+version\s+[\d\-\.]+\,\s+\w+\s+[\d\-\.]+\, Q-Chem Inc\. Pittsburgh\s+)*\-+)*\n"
            table_pattern = r"(?:\s*Nonlocal correlation = [\d\-\.]+e[\d\-]+)*(?:\s*Inaccurate integrated density:\n\s+Number of electrons\s+=\s+[\d\-\.]+\n\s+Numerical integral\s+=\s+[\d\-\.]+\n\s+Relative error\s+=\s+[\d\-\.]+\s+\%\n)*\s*\d+\s+([\d\-\.]+)\s+([\d\-\.]+)e([\d\-\.\+]+)(?:\s+Convergence criterion met)*(?:\s+Preconditoned Steepest Descent)*(?:\s+Roothaan Step)*(?:\s+(?:Normal\s+)*BFGS [Ss]tep)*(?:\s+LineSearch Step)*(?:\s+Line search: overstep)*(?:\s+Dog-leg BFGS step)*(?:\s+Line search: understep)*(?:\s+Descent step)*"
        else:
            if "SCF_failed_to_converge" in self.data.get("errors"):
                footer_pattern = r"^\s*\d+\s*[\d\-\.]+\s+[\d\-\.]+E[\d\-\.]+\s+Convergence\s+failure\n"
            else:
                footer_pattern = r"^\s*\-+\n"
            header_pattern = r"^\s*\-+\s+Cycle\s+Energy\s+DIIS Error\s+\-+\n"
            table_pattern = r"(?:\s*Inaccurate integrated density:\n\s+Number of electrons\s+=\s+[\d\-\.]+\n\s+Numerical integral\s+=\s+[\d\-\.]+\n\s+Relative error\s+=\s+[\d\-\.]+\s+\%\n)*\s*\d+\s*([\d\-\.]+)\s+([\d\-\.]+)E([\d\-\.\+]+)(?:\s*\n\s*cpu\s+[\d\-\.]+\swall\s+[\d\-\.]+)*(?:\nin dftxc\.C, eleTot sum is:[\d\-\.]+, tauTot is\:[\d\-\.]+)*(?:\s+Convergence criterion met)*(?:\s+Done RCA\. Switching to DIIS)*(?:\n\s*Warning: not using a symmetric Q)*(?:\nRecomputing EXC\s*[\d\-\.]+\s*[\d\-\.]+\s*[\d\-\.]+(?:\s*\nRecomputing EXC\s*[\d\-\.]+\s*[\d\-\.]+\s*[\d\-\.]+)*)*"

        temp_scf = read_table_pattern(self.text, header_pattern, table_pattern,
                                      footer_pattern)
        real_scf = []
        for one_scf in temp_scf:
            temp = np.zeros(shape=(len(one_scf), 2))
            for ii, entry in enumerate(one_scf):
                temp[ii, 0] = float(entry[0])
                temp[ii, 1] = float(entry[1]) * 10**float(entry[2])
            real_scf += [temp]

        self.data["SCF"] = real_scf
Parses both old and new SCFs.