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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def solve(self, solver=None, solverparameters=None):
 """Call a solver on the SDP relaxation. Upon successful solution, it returns the primal and dual objective values along with the solution matrices. It also sets these values in the `sdpRelaxation` object, along with some status information. :param sdpRelaxation: The SDP relaxation to be solved. :type sdpRelaxation: :class:`ncpol2sdpa.SdpRelaxation`. :param solver: The solver to be called, either `None`, "sdpa", "mosek", "cvxpy", "scs", or "cvxopt". The default is `None`, which triggers autodetect. :type solver: str. :param solverparameters: Parameters to be passed to the solver. Actual options depend on the solver: SDPA: - `"executable"`: Specify the executable for SDPA. E.g., `"executable":"/usr/local/bin/sdpa"`, or `"executable":"sdpa_gmp"` - `"paramsfile"`: Specify the parameter file Mosek: Refer to the Mosek documentation. All arguments are passed on. Cvxopt: Refer to the PICOS documentation. All arguments are passed on. Cvxpy: Refer to the Cvxpy documentation. All arguments are passed on. SCS: Refer to the Cvxpy documentation. All arguments are passed on. :type solverparameters: dict of str. """

        if self.F is None:
            raise Exception("Relaxation is not generated yet. Call "
                            "'SdpRelaxation.get_relaxation' first")
        solve_sdp(self, solver, solverparameters)