CSE 333 Homework 1

Part A: Doubly-Linked List

If you've programmed in Java, you're used to having a fairly rich library of elemental data structures upon which you can build, such as vectors and hash tables. In C, you don't have that luxury: the C standard library provides you with very little. In this assignment, you will add missing pieces of code in our implementation of a generic doubly-linked list.

At a high-level, a doubly-linked list looks like this:

Each node in a doubly-linked list has three fields: a payload, a pointer to the previous element in the list (or NULL if there is no previous element), and a pointer to the next element in the list. If the list is empty, there are no nodes. If the list has a single element, both of its next and previous pointers are NULL.

So, what makes implementing this in C tricky? Quite a few things:

1. We want to make the list useful for storing arbitrary kinds of payloads. In practice, this means the payload element in a list node needs to be a pointer supplied by the customer of the list implementation. Given that the pointer might point to something malloc'ed by the customer, this means we might need to help the customer free the payload when the list is destroyed.
2. We want to hide details about the implementation of the list by exposing a high-level, nicely abstracted API. In particular, we don't want our customers to fiddle with next and previous pointers in order to navigate through the list, and we don't want our customers to have to stitch up pointers in order to add or remove elements from the list. Instead, we'll offer our customers nice functions for adding and removing elements and a Java-like iterator abstraction for navigating through the list.
3. C is not a garbage-collected language: you're responsible for managing memory allocation and deallocation yourself. This means we need to be malloc'ing structures when we add nodes to a list, and we need to be free'ing structures when we remove nodes from a list. We also might need to malloc and free structures that represent the overall list itself.

Given all of these complications, our actual linked list data structure ends up looking like this:

Specifically, we define the following types and structures:

• LinkedList: The structure containing our linked list's metadata, such as head and tail pointers. When our customer asks us to allocate a new, empty linked list, we malloc and initialize an instance of this structure then return a pointer to that malloc'ed structure to the customer.
• LinkedListNode: this structure represents a node in a doubly-linked list. It contains a field for stashing away (a pointer to) the customer-supplied payload and fields pointing to the previous and next LinkedListNode in the list. When a customer requests that we add an element to the linked list, we malloc a new LinkedListNode to store the pointer to that element, do surgery to splice the LinkedListNode into the data structure, and update our LinkedList's metadata.
• LLIterator: sometimes customers want to navigate through a linked list; to help them do that, we provide them with an iterator. LLIterator contains bookkeeping associated with an iterator. In particular, it tracks the list that the iterator is associated with and the node in the list that the iterator currently points to. Note that there is a consistency problem here: if a customer updates a linked list by removing a node, it's possible that some existing iterator becomes inconsistent because it referenced the deleted node. So, we make our customers promise that they will free any live iterators before mutating the linked list. (Since we are generous, we do allow a customer to keep an iterator if the mutation was done using that iterator.) When a customer asks for a new iterator, we malloc an instance and return a pointer to it to the customer.

Part A Instructions

You should follow these steps to do this part of the assignment:

1. Make sure you are comfortable with C pointers, structures, malloc, and free. We will cover them in detail in lecture, but you might need to brush up and practice a bit on your own; you should have no problem Googling for practice programming exercises on the Web for each of these topics.
2. Get the source files for hw1: navigate to a directory that contains a checked-out copy of your cse333 git repository and run the command git pull. (See GitHub Docs if the pull command fails because you have unstaged changes or other problems.) After the pull command finishes you should see at least the following directories and files in your repository:

   $ ls
   cpplint.py  gtest  hw1
   

3. Look inside the hw1 directory. You'll see a number of files and subdirectories, including these that are relevant to Part A:
   • Makefile: a Makefile you can use to compile the assignment using the Linux command make on the CSE Linux machines.
   • LinkedList.h: a header file that defines and documents the API of the linked list. A customer of the linked list includes this header file and uses the functions defined within in. Read through this header file very carefully to understand how the linked list is expected to behave.
   • LinkedList_priv.h: a private header file included by LinkedList.c; it defines the structures we diagrammed above. These implementation details would typically be withheld from the client by placing the contents of this header directly in LinkedList.c; however, we have opted to place them in a "private .h" instead so that our unit test code can verify the correctness of the linked list's internals.
   • LinkedList.c: Contains the partially-completed implementation of our doubly-linked list. Your task will be to finish the implementation; see the labels that say "STEP X:". Take a minute and read through both LinkedList_priv.h and LinkedList.c.
   • example_program_ll.c: this is a simple example of how a customer might use the linked list; in it, you can see how a customer can allocate a linked list, add elements to it, create an iterator, use the iterator to navigate a bit, and then clean up.
   • test_linkedlist.cc: this file contains unit tests that we wrote to verify that the linked list implementation works correctly. The unit tests are written to use the Google Test unittesting framework, which has similarities to Java's JUnit testing framework. As well, this test driver will assist the course staff in grading your assignment. As you add more pieces to the implementation, the test driver will make it further through the unit tests, and it will print out a cumulative score along the way. You don't need to understand what's in the test driver for this assignment, though if you peek inside it, you might get hints for what kinds of things you should be doing in your implementation!
   • solution_binaries: in this directory, you'll find some Linux executables, including example_program_ll and test_suite. These binaries were compiled with a complete, working version of LinkedList.c; you can run them to explore what should be displayed when your assignment is working!
4. Run make on a CSE Linux machine to verify that you can build your own versions of example_program_ll and test_suite. make should print out a few things, and you should end up with new binaries inside the hw1 directory.
5. Since you haven't yet finished the implementation of LinkedList.c, the binaries you just compiled won't work correctly yet. Try running them, and note that example_program_ll halts with an assertion error or a segfault and test_suite prints out some information indicating failed tests, and may crash before terminating.
6. This is the hard step: finish the implementation of LinkedList.c. Go through LinkedList.c, find each comment that says "STEP X", and place working code there (please keep the "STEP X" comment for your graders' sanity so they can locate your code!). The initial steps are meant to be relatively straightforward, and some of the later steps are trickier. You will probably find it helpful to read through the code from top to bottom to figure out what's going on. You will also probably find it helpful to recompile frequently to see what compilation errors you've introduced and need to fix. When compilation works again, try running the test driver to see if you're closer to being finished.
   • Note: You may not modify any header files or interfaces in this or later project assignments. We may test your code by extracting your implementations and compiling them with the original header files or in some other test harness where they are expected to behave as specified. You are certainly free, of course, to add additional private (e.g., static – more info here) helper functions in your implementation, and you should do that when it improves modularity.
   • Debugging hint: Verify333 is used in many places in the code to check for errors and terminate execution if something is wrong. You might find it helpful to discover the function that is called when this happens so you can place a debugger breakpoint there.
7. We'll also be testing whether your program has any memory issues using Valgrind. To try out Valgrind on the solution binaries:
   • From the hw1 directory run the following command:

     $ valgrind --leak-check=full ./solution_binaries/example_program_ll

     Note that we are runnning this on the solution binaries, so Valgrind prints out that no memory issues were found. Similarly, try running the solution test driver under Valgrind:

     $ valgrind --leak-check=full ./solution_binaries/test_suite

     and note that Valgrind again indicates that no memory issues were found.
   • To test your implementation, compile your versions of the example_program_ll and test_suite binaries while in the hw1 directory and run them under Valgrind. For example:

     $ valgrind --leak-check=full ./test_suite

     If you have no memory issues and the test_suite runs the linked list tests to completion, you're done with Part A!

Part B: Chained Hash Table

A chained hash table is a data structure that consists of an array of buckets, with each bucket containing a linked list of elements. When a user inserts a key/value pair into the hash table, the hash table uses a hash function to map the key into one of the buckets, and then adds the key/value pair onto the linked list. There is an important corner case: if the key of the inserted key/value pair already exists in the hash table; our implementation of a hash table replaces the existing key/value pair with the new one and returns the old key/value pair to the customer.

Over time, as more and more elements are added to the hash table, the linked lists hanging off of each bucket will start to grow. As long as the number of elements in the hash table is a small multiple of the number of buckets, lookup time is fast: you hash the key to find the bucket, then iterate through the (short) chain (linked list) hanging off the bucket until you find the key. As the number of elements gets larger, lookups become less efficient, so our hash table includes logic to resize itself by increasing the number of buckets to maintain short chains.

As with the linked list in Part A, we've given you a partial implementation of a hash table. Our hash table implementation looks approximately like this:

Specifically, we defined the following types and structures:

• HashTable: The structure containing our hash table's metadata, such as the number of elements and the bucket array. When our customer asks us to allocate a new, empty hash table, we malloc and initialize an instance of this (including malloc'ing space for the bucket array that it uses and allocating LinkedLists for each bucket), and return a pointer to that malloc'ed structure to the customer.
• HTIterator (not shown in the diagram): sometimes customers want to iterate through all elements in a hash table; to help them do that, we provide them with an iterator. HTIterator points to a structure that contains bookkeeping associated with an iterator. Similar to a linked list iterator, the hash table iterator keeps track of the hash table the iterator is associated with and in addition has a linked list iterator for iterating through the bucket linked lists. When a customer asks for a new iterator we malloc an HTIterator and return a pointer to it.

Part B Instructions

You should follow these steps to do this part of the assignment:

1. The code you fetched in Part A also contains the files you'll need to complete your hash table implementation and test it. Similar to the linked list, the hash table implementation is split across a few files: HashTable.c contains the implementation you need to finish, HashTable.h contains the public interface to the hash table and documents all of the functions & structures that customers see, and HashTable_priv.h contains some private, internal structures that HashTable.c uses.
2. Read through HashTable.h first to get a sense of what the hash table interface semantics are. Then, take a look at example_program_ht.c; this is a program that uses the hash table interface to insert/lookup/remove elements from a hash table, and uses the iterator interface to iterate through the elements of the hash table.
3. As before, test_hashtable.cc contains our Google Test unit tests for the hash table. Run this — on its own, and using valgrind — to seer how close you are to finishing your hash table implementation.
4. Look through HashTable.c, find all of the missing pieces (identified by "STEP X" comments, as before), and implement them.
5. As before, in solution_binaries, we've provided linux executables (i.e., example_program_ht and the same test_suite) that were compiled with our complete, working version of HashTable.c. You can run them to explore what should be displayed when your Part B implementation is working and look at the source code for examples of how to use the data structures.

Bonus: Code Coverage Statistics

You'll notice that we provided a second Makefile called Makefile.coverage. You can use it to invoke the gcov code coverage generation tool. Figure out how to (a) use it to generate code coverage statistics for LinkedList.c and HashTable.c, (b) note that the code coverage for HashTable is worse than that for the LinkedList, and (c) write additional HashTable unit tests to improve HashTable's code coverage. The bonus task is simple, but we're deliberately providing next to no detailed instructions on how to do it — figuring out how is part of the bonus task!

You must add a readme-hw1-bonus.md text file to your hw1/ directory and include this in the files you push to your gitlab repo. This file should contain a brief description of the bonus work you have done, including your observations about code coverage in the original project, the changes you made to increase this, and the results you observed. This should be brief – a few sentences or a couple of paragraphs at the most should be sufficient, and you do not need to provide extensive charts, diagrams, or data.

Please make sure your additional unit tests don't change the scoring mechanism that we use, obviously (we'll be checking that). Place your additional unit tests in a separate file from the original test suite. That will make it easier for us to find and evaluate your tests.

If you do this bonus part of the project, you must include a hw1-bonus tag in your repository to identify the commit that contains the bonus work. This tag is in addition to the hw1-submit tag for the main project, which must still be present (see the Submission section). While grading, we will use whichever commit has that tag to examine the bonus, so it may be the same or a different commit from the one that has hw1-submit. The hw1-submit tagged commit must also still work properly (i.e., pass all tests, no memory issues, etc.). If you do not have a hw1-bonus tag in your repository, we will assume you did not choose to submit anything for the bonus (which will not affect your grade in any way!).