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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_sweep_structure( self, structures, sweep_param_list, filename="structure_n_effs.dat", plot=True, x_label="Structure number", fraction_mode_list=[], ):
 """ Find the modes of many structures. Args: structures (list):
 A list of `Structures` to find the modes of. sweep_param_list (list):
 A list of the parameter-sweep sweep that was used. This is for plotting purposes only. filename (str):
 The nominal filename to use when saving the effective indices. Defaults to 'structure_n_effs.dat'. plot (bool):
 `True` if plots should be generates, otherwise `False`. Default is `True`. x_label (str):
 x-axis text to display in the plot. fraction_mode_list (list):
 A list of mode indices of the modes that should be included in the TE/TM mode fraction plot. If the list is empty, all modes will be included. The list is empty by default. Returns: list: A list of the effective indices found for each structure. """

        n_effs = []
        mode_types = []
        fractions_te = []
        fractions_tm = []
        for s in tqdm.tqdm(structures, ncols=70):
            self.solve(s)
            n_effs.append(np.real(self.n_effs))
            mode_types.append(self._get_mode_types())
            fractions_te.append(self.fraction_te)
            fractions_tm.append(self.fraction_tm)

        if filename:
            self._write_n_effs_to_file(
                n_effs, self._modes_directory + filename, sweep_param_list
            )

            with open(self._modes_directory + "mode_types.dat", "w") as fs:
                header = ",".join(
                    "Mode%i" % i for i, _ in enumerate(mode_types[0])
                )
                fs.write("# " + header + "\n")
                for mt in mode_types:
                    txt = ",".join("%s %.2f" % pair for pair in mt)
                    fs.write(txt + "\n")

            with open(self._modes_directory + "fraction_te.dat", "w") as fs:
                header = "fraction te"
                fs.write("# param sweep," + header + "\n")
                for param, fte in zip(sweep_param_list, fractions_te):
                    txt = "%.6f," % param
                    txt += ",".join("%.2f" % f for f in fte)
                    fs.write(txt + "\n")

            with open(self._modes_directory + "fraction_tm.dat", "w") as fs:
                header = "fraction tm"
                fs.write("# param sweep," + header + "\n")
                for param, ftm in zip(sweep_param_list, fractions_tm):
                    txt = "%.6f," % param
                    txt += ",".join("%.2f" % f for f in ftm)
                    fs.write(txt + "\n")

            if plot:
                if MPL:
                    title = "$n_{eff}$ vs %s" % x_label
                    y_label = "$n_{eff}$"
                else:
                    title = "n_{effs} vs %s" % x_label
                    y_label = "n_{eff}"
                self._plot_n_effs(
                    self._modes_directory + filename, self._modes_directory + "fraction_te.dat", x_label, y_label, title
                )

                title = "TE Fraction vs %s" % x_label
                self._plot_fraction(
                    self._modes_directory + "fraction_te.dat",
                    x_label,
                    "TE Fraction [%]",
                    title,
                    fraction_mode_list,
                )

                title = "TM Fraction vs %s" % x_label
                self._plot_fraction(
                    self._modes_directory + "fraction_tm.dat",
                    x_label,
                    "TM Fraction [%]",
                    title,
                    fraction_mode_list,
                )

        return n_effs