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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 beforeSummaryReport(self, event):
        '''Output profiling results'''
        self.prof.disable()
        stats = pstats.Stats(self.prof, stream=event.stream).sort_stats(
            self.sort)
        event.stream.writeln(nose2.util.ln('Profiling results'))
        stats.print_stats()
        if self.pfile:
            stats.dump_stats(self.pfile)
        if self.cachegrind:
            visualize(self.prof.getstats())