Use Jupyter notebook to write a Python function

myJacobi$($A$,$b$,$x$0,$TOL,N$)$

which implements the Jacobi method for solving $Ax=b.$ The function will return two values $[x,$info$]$: the numerical solution $x$ as a column vector and

info $=\{\begin{array}{ccc}0& if\text{t}\text{h}\text{e}\text{s}\text{o}\text{l}\text{u}\text{t}\text{i}\text{o}\text{n}xis\text{l}\text{o}\text{c}\text{a}\text{t}\text{e}\text{d}& \\ 1& ifno\text{s}\text{o}\text{l}\text{u}\text{t}\text{i}\text{o}\text{n}\text{f}\text{o}\text{u}\text{n}\text{d}\text{w}\text{i}\text{t}\text{h}\text{i}\text{n}N\text{i}\text{t}\text{e}\text{r}\text{a}\text{t}\text{i}\text{o}\text{n}\text{s}\text{.}& \end{array}$

For the Jacobi method, please check out section $7\mathrm{.}3.$ For the explanation of the inputs, please check out the Aogorithm $7\mathrm{.}1$ outline.

The format of your Jupyter notebook:

Code cell $1$: import necessary packages

Code cell $2$: define the Python function myJacobi$(A,b,x0,$TOL,$N$

Code cell $3$: An example to verify the correctness of your code

Code cell $4$: Another example to verify the correctness of your code