Completed file for problem set 9. Remember to copy the pdf file to Dr Racket for a better view. This file should be exactly identical except that the file has answers for each problems.
;; DO NOT PUT ANYTHING PERSONALLY IDENTIFYING BEYOND YOUR
CWL IN THIS FILE.
;; YOUR CWLs WILL BE SUFFICIENT TO IDENTIFY YOU AND, IF YOU HAVE
ONE, YOUR
;; PARTNER
;;
(require spd/tags)
(@assignment psets/pset-09);Do not edit or remove this tag
;; If you are:
;; - A 110 or 107 student replace the first set of '???'s with your cwl.
;; For problem sets, If you have a partner, please replace the second
;; set of '???'s with their cwl. Remember this, it is what you will
;; do with these @cwl annotations for the whole course.
;; - A UBC Extended Learning student, replace the first set of ??? with
;; your email address as confirmed in the email you received from
;; extended learning. The handin password is also in that email.
;; Remember this, it is what you will do with these @cwl annotations
;; for the whole course.
;;
(@cwl ??? ???)
;;
;; THIS IS THE MOST CHALLENGING PROBLEM SET SO FAR THIS TERM.
PLEASE BE
;; SURE YOU WORK THROUGH IT CAREFULLY THOUGH. 110 FINAL
EXAMS OFTEN INCLUDE
;; PROBLEMS BASED ON PROBLEM SETS 9, 10, OR 11.
;;
;; ALSO NOTE THAT THE AUTOGRADER COOL DOWN IS 1 HOUR FOR
THIS PROBLEM SET.
;;
;; THERE WILL BE A SPECIAL PINNED THREAD ON PIAZZA IN WHICH WE
WILL ANSWER
;; QUESTIONS ABOUT THIS PROBLEM SET.
;;
;; In this problem set you are going to work on one of the toughest problems
;; we face running 110 - scheduling of TAs. As you may know, we have about
;; 45 TAs, and we have to schedule them for many labs, 3 lectures, and office
, ;; hours. We solved this by writing a schedule solver, and that's what you
;; are going to do for this problem set.
;;
;; We are making it a little easier for you, in that all you will be having
;; to deal with is labs.
;;
;; We are giving you two key data definitions, as well as some examples of
;; that data. We are also giving you a wish list entry for the main solve
;; function you have to design. The function consumes a list of TAs and a
;; list of lab slots to fill. It produces a list of assignments. So, for
;; example, in the following very simple case, where there are two slots,
;; and two TAs, you get an assignment of the TAs to those slots.
;;
;; (solve (list (make-slot "A" 1) (make-slot "B" 1))
;; (list (make-ta "Ali" (list "B"))
;; (make-ta "Azi" (list "A")))) ==>
;;
;; (list (list "Ali" "B") (list "Azi" "A"))
;;
;; In this simple example there was only one possible assignment. But in
;; general there might be more than one assignment, or it might be impossible
;; to generate an assignment.
;; By now you know enough about search to know that the first thing you need
;; to do is figure out the search space. What does the tree look like? What
;; information do you have to represent at each node in the tree? How do you
;; generate the next nodes in the tree? How do you tell you have a solution?
;; Although this function ends up producing just a list of assignments, does
;; it need more than just the assignments so far at each node in the tree?
;; What other information do you need to represent at each node?
;;
;; As you consider the search tree, note that a TA can work more than one slot,
;; but a slot is filled by one TA. So once you assign a TA to a slot that slot
;; is done.
;;
;; As usual, anything we give you below you must not change. The autograder
;; will want to call solve with arguments as described below. Also note that
;; we give you just a few small data examples for illustration. You will want
;; to test your function with additional examples.
;;
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