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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 get_string(self, distance=6, velocity=8, charge=3):
 """ Returns the string representation of LammpsData, essentially the string to be written to a file. Args: distance (int):
 No. of significant figures to output for box settings (bounds and tilt) and atomic coordinates. Default to 6. velocity (int):
 No. of significant figures to output for velocities. Default to 8. charge (int):
 No. of significant figures to output for charges. Default to 3. Returns: String representation """

        file_template = """Generated by pymatgen.io.lammps.data.LammpsData

{stats}

{box}

{body}
"""
        box = self.box.get_string(distance)

        body_dict = OrderedDict()
        body_dict["Masses"] = self.masses
        types = OrderedDict()
        types["atom"] = len(self.masses)
        if self.force_field:
            all_ff_kws = SECTION_KEYWORDS["ff"] + SECTION_KEYWORDS["class2"]
            ff_kws = [k for k in all_ff_kws if k in self.force_field]
            for kw in ff_kws:
                body_dict[kw] = self.force_field[kw]
                if kw in SECTION_KEYWORDS["ff"][2:]:
                    types[kw.lower()[:-7]] = len(self.force_field[kw])

        body_dict["Atoms"] = self.atoms
        counts = OrderedDict()
        counts["atoms"] = len(self.atoms)
        if self.velocities is not None:
            body_dict["Velocities"] = self.velocities
        if self.topology:
            for kw in SECTION_KEYWORDS["topology"]:
                if kw in self.topology:
                    body_dict[kw] = self.topology[kw]
                    counts[kw.lower()] = len(self.topology[kw])

        all_stats = list(counts.values()) + list(types.values())
        stats_template = "{:>%d}  {}" % len(str(max(all_stats)))
        count_lines = [stats_template.format(v, k) for k, v in counts.items()]
        type_lines = [stats_template.format(v, k + " types")
                      for k, v in types.items()]
        stats = "\n".join(count_lines + [""] + type_lines)

        map_coords = lambda q: ("{:.%df}" % distance).format(q)
        map_velos = lambda q: ("{:.%df}" % velocity).format(q)
        map_charges = lambda q: ("{:.%df}" % charge).format(q)
        formatters = {"x": map_coords, "y": map_coords, "z": map_coords,
                      "vx": map_velos, "vy": map_velos, "vz": map_velos,
                      "q": map_charges}
        section_template = "{kw}\n\n{df}\n"
        parts = []
        for k, v in body_dict.items():
            index = True if k != "PairIJ Coeffs" else False
            df_string = v.to_string(header=False, formatters=formatters,
                                    index_names=False, index=index)
            parts.append(section_template.format(kw=k, df=df_string))
        body = "\n".join(parts)

        return file_template.format(stats=stats, box=box, body=body)