Solve this problem:

The setup code gives the following variables:

NameTypeDescriptionnintegerIndicates the number of matrices in AsAs$3$D numpy array of shape $($n$,2,2)$The n matrices you need to processx$\_01$D numpy arrayThe initial guess x$0$

Your code snippet should define the following variables:

NameTypeDescriptioneigenval$11$D numpy array of shape $($n$,)$The significant eigenvalues you obtain from Aseigenval$21$D numpy array of shape $($n$,)$The other eigenvalues you obtain from Aseigenvec$12$D numpy array of shape $($n$,2)$Eigenvectors corresponding to eigenval$1$eigenvec$22$D numpy array of shape $($n$,2)$Eigenvectors corresponding to eigenval$2$shifted$\_$eigval$1$D numpy array of shape $($n$,)$The eigenvalues you obtain from performing Normalized Shifted Inverse Iteration on Asshifted$\_$eigvec$2$D numpy array of shape $($n$,2)$Eigenvectors corresponding to shifted$\_$eigvalcnt$1$D numpy array of shape $($n$,)$stores the number of rounds for normalized power iteration to stop of each matrixratios$1$D numpy array of shape $($n$,)$stores the ratios of the eigenvalues