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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_profile(self, profile_count=50):
 """ Get profile of query execution time. :param int profile_count: Number of profiles to retrieve, counted from the top query in descending order by the cumulative execution time. :return: Profile information for each query. :rtype: list of |namedtuple| :raises simplesqlite.NullDatabaseConnectionError: |raises_check_connection| :raises simplesqlite.OperationalError: |raises_operational_error| :Example: :ref:`example-get-profile` """


        from collections import namedtuple

        profile_table_name = "sql_profile"

        value_matrix = [
            [query, execute_time, self.__dict_query_count.get(query, 0)]
            for query, execute_time in six.iteritems(self.__dict_query_totalexectime)
        ]
        attr_names = ("sql_query", "cumulative_time", "count")
        con_tmp = connect_memdb()
        try:
            con_tmp.create_table_from_data_matrix(
                profile_table_name, attr_names, data_matrix=value_matrix
            )
        except ValueError:
            return []

        try:
            result = con_tmp.select(
                select="{:s},SUM({:s}),SUM({:s})".format(*attr_names),
                table_name=profile_table_name,
                extra="GROUP BY {:s} ORDER BY {:s} DESC LIMIT {:d}".format(
                    attr_names[0], attr_names[1], profile_count
                ),
            )
        except sqlite3.OperationalError:
            return []
        if result is None:
            return []

        SqliteProfile = namedtuple("SqliteProfile", " ".join(attr_names))

        return [SqliteProfile(*profile) for profile in result.fetchall()]