**I know the question in below asked several times in both
Zookal and other platforms. As always I dont need a "Pseudo code" or
"explanation". I understand the question and I just need "a code in
Python".**

Suppose you are managing a consulting team of expert computer
hackers, and each week you have to choose a job for them to
undertake. The set of possible jobs is divided into those that are
low-stress (e.g. setting up a Web site for a class at the local
elementary school) and those that are high-stress (e.g., protecting
the dean’s most valuable secrets.) The basic question each week is
whether to take on a low-stress job or a high-stress job. If you
select a low-stress job for your team in week i, then you get a
revenue of li > 0 dollars; if you select a high-stress job, you
get a revenue of hi > 0 dollars. High-stress jobs typically pay
more. The catch, however, is that in order for the team to take on
a high-stress job in week i, it is required that they do no job (of
either type) in week i − 1; they need a full week of prep time to
get ready for the crushing stress level. On the other hand, it is
okay for them to take a low-stress job in week i even if they have
done a job (of either type) in week i − 1. So, given a sequence of
n weeks, a plan is specified by a choice of low-stress, high-stress
or none for each of the n weeks, with the property that if
high-stress is chosen for week i > 1, then none has to be chosen
for week i − 1. (It is okay to choose a high-stress job in week 1.)
The value of the plan is determined in the natural way; for each i,
you add li to the value if you choose low-stress in week i, and you
add hi to the value if you choose high-stress in week i. (You add 0
if you choose none in week i.)

Given sets of values l1, l2, ..., ln and h1, h2, ..., hn, find a
plan of maximum value (such a plan is called optimal.) **Give
an efficient algorithm (dynamic programming based approach) to take
the input values and return the value of an optimal
plan.**

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