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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 resample_with_censoring(self,data=[],censored_data=[]):
        '''
        censored_data is full of observations that were censored, meaning a
        value of x really could have been anything >= x, so this method samples
        them out to be at least that large
        '''
        filled_in = self._uncensor_data(censored_data)
        return self.resample(data=combinedata((data,filled_in)))