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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_dump(self, fmap='', with_stats=False, dump_format="text"):
 """ Returns the model dump as a list of strings. Parameters fmap : string, optional Name of the file containing feature map names. with_stats : bool, optional Controls whether the split statistics are output. dump_format : string, optional Format of model dump. Can be 'text' or 'json'. """

        length = c_bst_ulong()
        sarr = ctypes.POINTER(ctypes.c_char_p)()
        if self.feature_names is not None and fmap == '':
            flen = len(self.feature_names)

            fname = from_pystr_to_cstr(self.feature_names)

            if self.feature_types is None:
                # use quantitative as default
                # {'q': quantitative, 'i': indicator}
                ftype = from_pystr_to_cstr(['q'] * flen)
            else:
                ftype = from_pystr_to_cstr(self.feature_types)
            _check_call(_LIB.XGBoosterDumpModelExWithFeatures(
                self.handle,
                ctypes.c_int(flen),
                fname,
                ftype,
                ctypes.c_int(with_stats),
                c_str(dump_format),
                ctypes.byref(length),
                ctypes.byref(sarr)))
        else:
            if fmap != '' and not os.path.exists(fmap):
                raise ValueError("No such file: {0}".format(fmap))
            _check_call(_LIB.XGBoosterDumpModelEx(self.handle,
                                                  c_str(fmap),
                                                  ctypes.c_int(with_stats),
                                                  c_str(dump_format),
                                                  ctypes.byref(length),
                                                  ctypes.byref(sarr)))
        res = from_cstr_to_pystr(sarr, length)
        return res