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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 full_s(self):
 """ Get the full singular value matrix of self Returns ------- Matrix : Matrix """

        x = np.zeros((self.shape),dtype=np.float32)

        x[:self.s.shape[0],:self.s.shape[0]] = self.s.as_2d
        s = Matrix(x=x, row_names=self.row_names,
                          col_names=self.col_names, isdiagonal=False,
                          autoalign=False)
        return s