COMP 250 A Crowded Cat Cafe Chain Solved

You have just been named CEO of a chain of Cat Cafes. A cat cafe is a co ee shop in which cats are roaming and interact with customers. At the time of your promotion, you are informed that the chain does not have any repository of the cats, and maintains no information about their seniority. You are extremely upset upon hearing this as you understand those cats are your most important sta members and, like any other employees, deserve salary and working conditions that improve with seniority.

You immediately call your best friend, who recently told you they were a computer science expert. You expect them to build you a state-of-the-art database for all your cats. Upon hearing your request, they seem to hesitate a bit and, after a moment of wavering, confess that they are only taking their second computer science course and cannot yet build a professional database. However, they recently learned about binary search trees and how they can be leveraged to e ciently access data. They explain they have not yet learned about heaps and as such their idea does not utilize trees to their full potential, but it should still provide a solution to your problem. They email you a quick draft and you start getting excited about it (after all, cats do love trees), until they specify they cannot help you because they are currently busy with their new job, which they then begin describing. It sounds pretty cool until they try to convince you to invest in their "company" by buying a bunch of knives to re-sell. You try to tell them it sounds like a pyramid scheme but they start yelling something about those only ever occurring in Ancient Egypt, and they hang up on you. You try to call them back but it appears they blocked your number.

It looks like you are going to have to build your tree on your own. You have a second look at their email to see what you have to work with, and what is left to do.

The database of all cats is represented by a ternary tree CatTree. This tree has a single eld root which contains a reference to the root node. The nodes are de ned by a private nested class CatNode. Each CatNode is associated with data stored in a CatInfo object (code provided).

This CatInfo class stores data into the following    elds:

String name: the name of the cat.

int monthHired: the time at which the cat was hired. You manage your business month to month, so for simplicity, since the company began operating on January 1st, 2000, you are identifying each month of operation with a simple integer associated with the number of months elapsed since then. Thus, January 12, 2000 was in month 0. November 25, 2015 was in month 191, and March 2020 is month 243.

int furThickness: the average thickness of the cat’s fur in millimeters (measured profes-sionally), stored as an integer.

int nextGroomingAppointment: the month in which we expect the next grooming appoint-ment, once again stored as an integer.

int expectedGroomingCost: the expected cost of the next grooming appointment, in dollars.

The CatTree class contains a CatNode inner class, and a eld root, which contains the root node of the tree. It also implements Iterable and includes a CatTreeIterator inner class. CatTree


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contains several already implemented public methods, as well as a constructor. Those methods, called on the tree, call the CatNode functions you will implement.

The CatNode inner class contains the information about the tree structure.

CatInfo data: the CatInfo object with the data for this cat.

CatNode senior: this cat and all the children of its node have more seniority than the current node’s cat.

CatNode junior: this cat and all the children of its node have less seniority than the current node’s cat.

CatNode same: this cat and all the children of its node have exactly the same seniority than the current node’s cat.

In addition, in the structure of the tree, CatNodes with equal seniority should be sorted in decreasing order of fur thickness.

Build your database. Note: you will be tested on time e ciency, so make sure to implements methods based on what was seen in class!

[12 points] First, consider CatTree.addCat(). This method takes as input a CatInfo object, converts it to a CatNode and calls CatNode.addCat() with the CatNode as input. You are asked to implement CatNode.addCat().

Given a CatNode c and a CatNode catToAdd, c.addCat(catToAdd) adds the CatNode catToAdd in the tree with root c accordingly to the rules explained before : if the cat to be added is more senior than the cat at the root, then it has to be added to the subtree with root c.senior. In the case where the CatNode to be added has the same seniority as the root, the organization depends on fur thickness. If the cat to be added has thicker fur than the cat at the root, it should be stored in the root node, and the cat previously in the root node should be stored in the subtree with root c.same. The method should return the root of the tree it was called on.

To clarify, let us give some examples. Let us de ne a CatNode cA, associated with cA.data.name

Alice, cA.data.monthHired equal to 87, and cA.data.furThickness equal to 50. For sim-

plicity, from here on, we will refer to this as declaring a CatNode cA !    (Alice, 87, 50).

Let’s build a tree with cA at its root, which also includes cB !    (Bob; 88; 60), cD !
(Doughnut; 85; 50), cE !    (Eleanor; 85; 45), cF !    (F elix; 85; 60), and cH !    (Hilda; 95; 55)

When the elds senior, same or junior are not null, we represent them with an arrow to the corresponding CatNode. Note that we name the nodes base on the CatInfo they initially contain, but their contents can get swapped with other nodes, so CatNode cA.data might not











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always contain the CatInfo Alice.



(Alice; 87; 50)

cA:senior
cA:junior

u
(
(F elix; 85; 60)
(Bob; 88; 60)

cB:junior



cF:same



(
(Doughnut; 85; 50)
(Hilda; 95; 55)


cD:same


(Eleanor; 85; 45)

Now, if we have a CatNode cC ! (Coco; 87; 55), the command cA.addCat(cC) should return the root CatNode cA, but its content will have been swapped with the node we added:

(Coco; 87; 55)


cA:senior    cA:same    cA:junior


u
(

(F elix; 85; 60)
(Alice; 87; 50)
(Bob; 88; 60)


cB:junior




cF:same





(
(Doughnut; 85; 50)

(Hilda; 95; 55)


cD:same


(Eleanor; 85; 45)

If CatNode cG has monthHired equal to 86 and furThickness equal to 55, then the, given cG! (Gaia; 86; 55) command cA.addCat(cG) should return the root cA and the tree struc-ture should be updated to:

(Coco; 87; 55)





cA:senior







cA:same   cA:junior


r




(








(F elix; 85; 60)


(Alice; 87; 50)
(Bob; 88; 60)

cF:junior




cB:junior








cF:same









)



(
(Doughnut; 85; 50)
(Gaia; 86; 55)



(Hilda; 95; 55)


cD:same


(Eleanor; 85; 45)


addCat is going to be used directly or indirectly in all your other methods. Make sure you pay extra attention to whether addCat works correctly before submit-ting your assignment. If it is defective, it will a ect your marks for the whole assignment



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[22 points] Now you can code CatNode.removeCat(). Its argument is a CatInfo. The command c.removeCat (cinf) should attempt to remove the CatNode corresponding to the info in cinf, and return the CatNode it was called on, whether or not the tree was modi ed. You can follow the algorithm seen in class. You should not remove from the tree any of the children Cats of the CatNode with data corresponding to cinf. I.e., if the cat you remove has children, these cats should still be in the tree after the method terminates.

For the rest of the explanation, let us assume that c.data == cinf (you can easily adapt what is going to be said to the case where the CatInfo to remove is not the root). In this case, there are three cases to consider. First, if c.same != null, then the CatInfo object in c.same moves to the root, and the subtrees of c should be adjusted in relation to the new root. Second, if c.same == null and c.senior != null, then the new root becomes c.senior and you need to add the CatInfos in c.junior to this new root. Finally, if c.same == null and c.senior == null, then the new root is c.junior.

Consider the following example. This is the tree we had in the previous task, so remember the contents of cA and cC were switched. cA now contains the cat named Coco, and cC now contains Alice.

(Coco; 87; 55)





cA:senior







cA:same   cA:junior


r




(








(F elix; 85; 60)


(Alice; 87; 50)
(Bob; 88; 60)

cF:junior




cB:junior








cF:same









)



(
(Doughnut; 85; 50)
(Gaia; 86; 55)



(Hilda; 95; 55)


cD:same


(Eleanor; 85; 45)

The command cA.removeCat(cA.data) should return cA with the tree updated to :

(Alice; 87; 50)




cA:senior
cA:junior

u


(
(F elix; 85; 60)


(Bob; 88; 60)

cF:junior

cB:junior





cF:same






)
(
(Doughnut; 85; 50)
(Gaia; 86; 55)
(Hilda; 95; 55)


cD:same


(Eleanor; 85; 45)

Notice the contents of cA were once again swapped. Now, the command cA.removeCat(cA.data)






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should execute one more swap, and return cA with the tree updated to :

(F elix; 85; 60)


cA:same    cA:junior

)

(Doughnut; 85; 50)
(Gaia; 86; 55)

cG:junior



cD:same



(
(Eleanor; 85; 45)
(Bob; 88; 60)


cB:junior


(


(Hilda; 95; 55)


We could now continue with cA.removeCat(cB.data), which will return cA, and update the tree to:

(F elix; 85; 60)


cA:same    cA:junior

)

(Doughnut; 85; 50)
(Gaia; 86; 55)

cG:junior



cD:same



(
(Eleanor; 85; 45)
(Hilda; 95; 55)


where the node containing the CatInfo named Hilda is cB.

[8 points] Code mostSenior. When called on a CatNode c, the integer c.mostSenior() should be the month when the most experienced CatNode in the tree with root c was hired. Do not modify the tree structure.

In this example,cA.mostSenior() should return 85 and cC.mostSenior() should return 87. Remember cA contains Coco, and cC contains Alice

(Coco; 87; 55)





cA:senior







cA:same   cA:junior


r




(








(F elix; 85; 60)


(Alice; 87; 50)
(Bob; 88; 60)

cF:junior




cB:junior








cF:same









)



(
(Doughnut; 85; 50)
(Gaia; 86; 55)



(Hilda; 95; 55)


cD:same


(Eleanor; 85; 45)

[9 points] Implement fluffiest. When called on a CatNode c, the integer c.fluffiest() should be the fur thickness of the CatNode with greatest fur thickness in the tree with root c. Do not modify the tree structure.

On the example given to you in the previous question, cA.fluffiest() should return 60 and cD.fluffiest() should return 50.

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[8 points] Implement hiredFromMonths. When called on a CatNode c, the integer c.hiredrFromMonths(monthMin, monthMax) should be the number of cats hired from month monthMin to monthMax (including those two months), that is in the tree with root c. If monthMin > monthMax, this should return 0. Do not modify the tree structure.

On the example from the question asking you to code mostSenior, cA.hiredFromMonths(86, 88) should return 4 (corresponding to CatNode cG, cC, cA and cB).

[8 points] Implement fluffiestFromMonth. When called on a CatNode c, c.fluffiestFromMonth(month) should return the CatInfo linked to the cat with thickest fur, hired in the month month, in the tree with root c. If no such cat is found, null should be returned. Do not modify the tree structure.

On the example from the question asking you to build mostSenior, cA.fluffiestFromMonth(85) should return cF.data, and so should cF.fluffiestFromMonth(85), but cD.fluffiestFromMonth(85) should return cD.data.

[15 points] Implement costPlanning. When called on a CatNode c, the array c.costPlanning(n), which should have length n, should have in its i-th cell, how much you should spend on month (243 + i) for all the scheduled grooming appointments over this time period, in the tree with root c. Here, month 243 is March 2020, so at i=0, you are planning the cost for this month, and at index 1, you are planning the costs for month 244, which is next month (April). The argument n will always be a positive integer. Do not modify the tree structure.

Let us modify the example given in the question asking you to implement mostSenior to display the month planned for the next grooming appointment and the associated cost.

(Coco; 249; 23)


cA:senior    cA:same    cA:junior


r
(

(F elix; 249; 26)


(Alice; 250; 35)
(Bob; 248; 50)

cF:junior


cB:junior






cF:same







)

)
(Doughnut; 247; 5)
(Gaia; 249; 11)

(Hilda; 244; 46)


cD:same


(Eleanor; 246; 42)

On this example, cA.costPlanning(7) should return the array {0, 46, 0, 42, 5, 50, 60} : in month 243, there is no cost to plan for grooming, but in month 249, Cats Coco, Felix and Gaia will need to be groomed, for a cost of 23 + 26 + 11 = 60. Similarly, cB.costPlanning(7) should return the array {0, 46, 0, 0, 0, 50, 0}. Note: Bob and Hilda have higher groom-ing cost because they bite. Doughnut gets a discount because he no longer has teeth.

You can use the iterator described in the next task to solve this problem

[18 points] Implement the inner class CatTreeIterator. The method CatTree.iterator() re-turns a CatTreeIterator object which can be used to iterate through all the cats in the tree. The iterator should access the cats from most senior to most junior. In the case in which cats

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have been hired within the same month, the iterator should access cats based on fur thickness:

cats with thicker fur should be access later.

We will test your iterator by examining the order in which the cats are accessed. It is ok if your iterator uses an ArrayList to store references to all the cats in the tree. We have imported the class in the template. There are more space e cient ways to implement an iterator for trees, but you will not be tests on space e ciency.

Good luck!