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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 _range(self, xloc, cache):
 """ Special handle for finding bounds on constrained dists. Example: [[0. 0.] [1. 2.]] """

        uloc = numpy.zeros((2, len(self)))
        for dist in evaluation.sorted_dependencies(self, reverse=True):
            if dist not in self.inverse_map:
                continue
            idx = self.inverse_map[dist]
            xloc_ = xloc[idx].reshape(1, -1)
            uloc[:, idx] = evaluation.evaluate_bound(
                dist, xloc_, cache=cache).flatten()
        return uloc