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CSCI1933 LAB 11 Linked list, Queues, Exceptions, Complexity Solved
Linked List
These problems will require you to recall your LinkedList implementation in project 3. Remember that you will have limited time and resources during the midterm, so it is best to remember how Node’s work and how you implemented your LinkedList in project 3.
For this problem, implement public void removeEvery(int n) in your LinkedList class. This method should remove every nth element from your list. You may assume that n ≥ 0; if n = 0 or n size(), do nothing.
Example: Suppose we have the following list: A → B → C → D → E → F and we call removeEvery(2). We should end up with the following list: A → C → E.
For this problem, implement public LinkedList<LinkedList<T extractGroupsOf(int n) in your LinkedList class. This method will return a list of lists, each of size ≤ n. You may assume that n ≥ 0; if n = 0 return an empty List.
Example: Suppose we have the following list: A → B → C → D → E and we call extractGroupsOf(2). The following list is returned: hA → B, C → D, Ei.
Constraint: You cannot use your get(int index) method or any method that gets a specific node. You must do this problem by traversing the links between the nodes in your list
2. QUEUES
2 Queues
These problems will require you to recall your Queue implementation from lecture. Remember that you will have limited time and resources during the midterm, so it is best to remember how Queues can be implemented using an array and Nodes
2.1 A Stacked Queue
You know how you’ve seen a Queue being implemented using an array and Nodes? Well, now you have to implement it using a Stack. Create a StackedQueue class and implement the following methods: enqueue(T element), dequeue(), peek(), isEmpty(). You can use any of the Stack implementations from the lecture examples or use Java’s built in Stack.
Constraint: If you are using an array-based Stack, you cannot touch the underlying array.
Similarly, if you are using a Node-based Stack, you cannot touch the underlying Nodes
2.2 Palindrome Check
A palindrome is a word that reads the same forward as backwards. Some examples are ’racecar’,
’tacocat’, and ’kayak’. Using a Queue, implement a public boolean palindromeTest(String word) method that takes in a word as a parameter and returns true if the word is a palindrome and false if it is not.
Constraint: Your MUST use a Queue as the underlying data structure. You can use Java’s built-in Queue, one that you implemented yourself, or any of the ones in the lecture examples.
Constraint: If you are using an array-based Queue, you cannot touch the underlying array.
Similarly, if you are using a Node-based Queue, you cannot touch the underlying Nodes
3. STACKS
3 Stacks
These problems will require you to recall your Stack implementation from lecture. Remember that you will limited time and resources during the midterm, so it is best to remember how Stacks can be implemented using an array and Nodes
3.1 A Queued Stack
You know how you’ve seen a Stack being implemented using an array and Nodes? Well, now you have to implement it using a Queue. Create a QueuedStack class and implement the following methods:
push(T element), pop(), top(), isEmpty(). You can use any of the Queue implementations from the lecture examples or use Java’s built in Queue.
Constraint: If you are using an array-based Queue, you cannot touch the underlying array.
Similarly, if you are using a Node-based Queue, you cannot touch the underlying Nodes
3.2 A Hack Stack
You know how some times you just want stuff from the middle of a pile but you can’t take it because it will cause absolute mayhem, e.g. playing Jenga? Fortunately, we can take something from the middle of a pile with our handy-dandy HackStack. Create a HackStack class and implement the following methods:
• public void push(T element) – This just pushes the element onto the stack.
• public T pop() – This just pops the top element from the stack and returns it; if empty, return null.
• public T pop(int n) – This pops the nth element from the top of the stack. You may assume that n ≥ 0 where 0 corresponds to the top of the stack. If n ≥ the size of the stack, return null.
• public T peek() – This returns the item at the top of the stack.
Constraint: Your MUST use a Stack as the underlying data structure. You can use Java’s built-in Stack, one that you implemented yourself, or any of the ones in the lecture examples.
Constraint: If you are using an array-based Stack, you cannot touch the underlying array.
Similarly, if you are using a Node-based Stack, you cannot touch the underlying Nodes
4. EXCEPTIONS
4 Exceptions
4.1 From Bad to Worse
What is the difference between returning a value to signify bad input versus throwing an exception?
4.2 To Check Or Not to Check?
What is the difference between a checked and unchecked Java exception?
4.3 Exception Types
Name two subclasses of an Exception and give a situation in which they would be thrown.
4.4 Are You the Exception?
Given the following Java code, what exceptions could be produced? Explain your reasoning.
public class MatchingStrings { public static boolean containsMatch(String[] array, String match) { boolean containsMatch = false; for (int i = 0; i < 10; i++) {
if (array[i].equals(match)) {
containsMatch = true;
}
} return containsMatch;
}
public static void main(String[] args) { //...
}
}
4.5 Covering Your Bases (And Your Edges)
Suppose you have implemented your own version of LinkedList, as you did in project 3. You have all the required methods in place, your code is not producing any compile time errors, and given inputs that you expected, your code runs beautifully. Great! But you are not finished quite yet; it is time to test your code for edge cases. Identify at least three edge cases you should test for to ensure your code is functioning. (In particular, consider the add(int index, T element) and remove(T element) methods for LinkedList. What edge cases should you be certain to test?)
5. COMPLEXITY ANALYSIS
5 Complexity Analysis
5.1 Big-O
What is Big-O for the method containsMatch(int[] array, int n) in the following Java code?
Explain your answer.
public class MatchingSubsequences {
//checks int array for subsequences of n matching ints public static int containsMatch(int[] array, int n) { int countMatches = 0; for (int i = 0; i < array.length - (n - 1); i++) { boolean containsMatch = true;
for (int j = i + 1; j < i + n; j++) { if (array[i] != array[j]) { containsMatch = false;
} } if (containsMatch) { countMatches++;
} } return countMatches;
}
public static void main(String[] args) { int[] array = {2, 2, 2, 3, 4, 4, 4, 4, 4, 5, 5}; int n = 5;
System.out.println("The array contains " + containsMatch(array, n) +
" subsequence(s) of " + n + " matching ints.");
}
}
5.2 More Big-O
What is Big-O for the method add(T element) in the following Java code? Explain your answer.
public class ArrayList<T extends Comparable<T implements List<T { private T[] list; private int size;
public ArrayList() { list = (T[]) new Comparable[2]; size = 0;
}
6. OTHER CONCEPTS
private void doubleListLength() {
T[] newList = (T[]) new Comparable[list.length * 2]; for (int i = 0; i < size; i++) { newList[i] = list[i];
} list = newList;
}
public boolean add(T element) { if (element == null) {
return false;
} if (size == list.length) {
doubleListLength();
} list[size] = element; size++; return true;
} //...
public static void main(String[] args) { //...
}
}
5.3 Trade-Offs
When might you want to use an ArrayList over a LinkedList? What about a LinkedList over an ArrayList?
5.4 Show Some Improvement
How can you make add() in LinkedList operate in constant time O(1)?
6 Other Concepts
6.1 Definitions
What does a T indicate in Java? When would you want to use it?
6. OTHER CONCEPTS
6.2 Apples and Oranges, Abstracts and Inheritance
What is the difference between an abstract class and an interface? When might you want to use one over the other?
6.3 Making Comparisons
What is Comparable, what is Comparator, and how are they different? When might you want to use one over the other?
6.4 Equality
What is the difference between “==” and “.equals()”? When would you want to use one over the other?
6.5 Inheritance
Suppose there is an interface called Vehicle. The Car class and Truck class implement the Vehicle interface, but the Bicycle does not implement the Vehicle interface . Which of the following lines of code would cause a compile-time error?
1. Car accord = new Car();
2. Car lambo = new Vehicle();
3. Vehicle camry = new Car();
4. Vehicle f150 = new Truck();
5. Truck garbageTruck = new Truck();
6. Vehicle trainingWheels = new Bicycle();
These problems will require you to recall your LinkedList implementation in project 3. Remember that you will have limited time and resources during the midterm, so it is best to remember how Node’s work and how you implemented your LinkedList in project 3.
For this problem, implement public void removeEvery(int n) in your LinkedList class. This method should remove every nth element from your list. You may assume that n ≥ 0; if n = 0 or n size(), do nothing.
Example: Suppose we have the following list: A → B → C → D → E → F and we call removeEvery(2). We should end up with the following list: A → C → E.
For this problem, implement public LinkedList<LinkedList<T extractGroupsOf(int n) in your LinkedList class. This method will return a list of lists, each of size ≤ n. You may assume that n ≥ 0; if n = 0 return an empty List.
Example: Suppose we have the following list: A → B → C → D → E and we call extractGroupsOf(2). The following list is returned: hA → B, C → D, Ei.
Constraint: You cannot use your get(int index) method or any method that gets a specific node. You must do this problem by traversing the links between the nodes in your list
2. QUEUES
2 Queues
These problems will require you to recall your Queue implementation from lecture. Remember that you will have limited time and resources during the midterm, so it is best to remember how Queues can be implemented using an array and Nodes
2.1 A Stacked Queue
You know how you’ve seen a Queue being implemented using an array and Nodes? Well, now you have to implement it using a Stack. Create a StackedQueue class and implement the following methods: enqueue(T element), dequeue(), peek(), isEmpty(). You can use any of the Stack implementations from the lecture examples or use Java’s built in Stack.
Constraint: If you are using an array-based Stack, you cannot touch the underlying array.
Similarly, if you are using a Node-based Stack, you cannot touch the underlying Nodes
2.2 Palindrome Check
A palindrome is a word that reads the same forward as backwards. Some examples are ’racecar’,
’tacocat’, and ’kayak’. Using a Queue, implement a public boolean palindromeTest(String word) method that takes in a word as a parameter and returns true if the word is a palindrome and false if it is not.
Constraint: Your MUST use a Queue as the underlying data structure. You can use Java’s built-in Queue, one that you implemented yourself, or any of the ones in the lecture examples.
Constraint: If you are using an array-based Queue, you cannot touch the underlying array.
Similarly, if you are using a Node-based Queue, you cannot touch the underlying Nodes
3. STACKS
3 Stacks
These problems will require you to recall your Stack implementation from lecture. Remember that you will limited time and resources during the midterm, so it is best to remember how Stacks can be implemented using an array and Nodes
3.1 A Queued Stack
You know how you’ve seen a Stack being implemented using an array and Nodes? Well, now you have to implement it using a Queue. Create a QueuedStack class and implement the following methods:
push(T element), pop(), top(), isEmpty(). You can use any of the Queue implementations from the lecture examples or use Java’s built in Queue.
Constraint: If you are using an array-based Queue, you cannot touch the underlying array.
Similarly, if you are using a Node-based Queue, you cannot touch the underlying Nodes
3.2 A Hack Stack
You know how some times you just want stuff from the middle of a pile but you can’t take it because it will cause absolute mayhem, e.g. playing Jenga? Fortunately, we can take something from the middle of a pile with our handy-dandy HackStack. Create a HackStack class and implement the following methods:
• public void push(T element) – This just pushes the element onto the stack.
• public T pop() – This just pops the top element from the stack and returns it; if empty, return null.
• public T pop(int n) – This pops the nth element from the top of the stack. You may assume that n ≥ 0 where 0 corresponds to the top of the stack. If n ≥ the size of the stack, return null.
• public T peek() – This returns the item at the top of the stack.
Constraint: Your MUST use a Stack as the underlying data structure. You can use Java’s built-in Stack, one that you implemented yourself, or any of the ones in the lecture examples.
Constraint: If you are using an array-based Stack, you cannot touch the underlying array.
Similarly, if you are using a Node-based Stack, you cannot touch the underlying Nodes
4. EXCEPTIONS
4 Exceptions
4.1 From Bad to Worse
What is the difference between returning a value to signify bad input versus throwing an exception?
4.2 To Check Or Not to Check?
What is the difference between a checked and unchecked Java exception?
4.3 Exception Types
Name two subclasses of an Exception and give a situation in which they would be thrown.
4.4 Are You the Exception?
Given the following Java code, what exceptions could be produced? Explain your reasoning.
public class MatchingStrings { public static boolean containsMatch(String[] array, String match) { boolean containsMatch = false; for (int i = 0; i < 10; i++) {
if (array[i].equals(match)) {
containsMatch = true;
}
} return containsMatch;
}
public static void main(String[] args) { //...
}
}
4.5 Covering Your Bases (And Your Edges)
Suppose you have implemented your own version of LinkedList, as you did in project 3. You have all the required methods in place, your code is not producing any compile time errors, and given inputs that you expected, your code runs beautifully. Great! But you are not finished quite yet; it is time to test your code for edge cases. Identify at least three edge cases you should test for to ensure your code is functioning. (In particular, consider the add(int index, T element) and remove(T element) methods for LinkedList. What edge cases should you be certain to test?)
5. COMPLEXITY ANALYSIS
5 Complexity Analysis
5.1 Big-O
What is Big-O for the method containsMatch(int[] array, int n) in the following Java code?
Explain your answer.
public class MatchingSubsequences {
//checks int array for subsequences of n matching ints public static int containsMatch(int[] array, int n) { int countMatches = 0; for (int i = 0; i < array.length - (n - 1); i++) { boolean containsMatch = true;
for (int j = i + 1; j < i + n; j++) { if (array[i] != array[j]) { containsMatch = false;
} } if (containsMatch) { countMatches++;
} } return countMatches;
}
public static void main(String[] args) { int[] array = {2, 2, 2, 3, 4, 4, 4, 4, 4, 5, 5}; int n = 5;
System.out.println("The array contains " + containsMatch(array, n) +
" subsequence(s) of " + n + " matching ints.");
}
}
5.2 More Big-O
What is Big-O for the method add(T element) in the following Java code? Explain your answer.
public class ArrayList<T extends Comparable<T implements List<T { private T[] list; private int size;
public ArrayList() { list = (T[]) new Comparable[2]; size = 0;
}
6. OTHER CONCEPTS
private void doubleListLength() {
T[] newList = (T[]) new Comparable[list.length * 2]; for (int i = 0; i < size; i++) { newList[i] = list[i];
} list = newList;
}
public boolean add(T element) { if (element == null) {
return false;
} if (size == list.length) {
doubleListLength();
} list[size] = element; size++; return true;
} //...
public static void main(String[] args) { //...
}
}
5.3 Trade-Offs
When might you want to use an ArrayList over a LinkedList? What about a LinkedList over an ArrayList?
5.4 Show Some Improvement
How can you make add() in LinkedList operate in constant time O(1)?
6 Other Concepts
6.1 Definitions
What does a T indicate in Java? When would you want to use it?
6. OTHER CONCEPTS
6.2 Apples and Oranges, Abstracts and Inheritance
What is the difference between an abstract class and an interface? When might you want to use one over the other?
6.3 Making Comparisons
What is Comparable, what is Comparator, and how are they different? When might you want to use one over the other?
6.4 Equality
What is the difference between “==” and “.equals()”? When would you want to use one over the other?
6.5 Inheritance
Suppose there is an interface called Vehicle. The Car class and Truck class implement the Vehicle interface, but the Bicycle does not implement the Vehicle interface . Which of the following lines of code would cause a compile-time error?
1. Car accord = new Car();
2. Car lambo = new Vehicle();
3. Vehicle camry = new Car();
4. Vehicle f150 = new Truck();
5. Truck garbageTruck = new Truck();
6. Vehicle trainingWheels = new Bicycle();
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