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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 _analyze_root_causes(self):
 """ Conduct root cause analysis. The first metric of the list is taken as the root cause right now. """

        causes = {}
        for a in self.anomalies:
            try:
                causes[a] = self.correlations[a][0]
            except IndexError:
                raise exceptions.InvalidDataFormat('luminol.luminol: dict correlations contains empty list.')
        self.causes = causes