How to use Python to optimize an objective function with multiple terms (SVM Dual Problem)?

Question

I am trying to find the solution for the following SVM dual problem using python. The problem is formatted as a quadratic programming problem:

I have been trying to use the Python library, CVXOPT, but according to its docs, and this example, It can only solve SVM problem in the form of:

Which would work fine for problems in the form of:

However, the problem I am trying to solve has two extra terms at the end (first image).

I am wondering how I can adjust the way my problem is formulated such that it is able to be solved with CVXOPT or any other python optimization package.