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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 _build_weight_from_kernel(self, kernel):
 """Private method to build an adjacency matrix from a kernel matrix Just puts zeroes down the diagonal in-place, since the kernel matrix is ultimately not stored. Parameters kernel : array-like, shape=[n_samples, n_samples] Kernel matrix. Returns ------- Adjacency matrix, shape=[n_samples, n_samples] """


        weight = kernel.copy()
        self._diagonal = weight.diagonal().copy()
        weight = utils.set_diagonal(weight, 0)
        return weight