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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_lower_bound(self):
 """Compute the lower bound to integrate cumulative density. Returns: float: lower bound for cumulative density integral. """

        lower_bounds = []

        for distribution in self.distribs.values():
            lower_bound = distribution.percent_point(distribution.mean / 10000)
            if not pd.isnull(lower_bound):
                lower_bounds.append(lower_bound)

        return min(lower_bounds)