Why I don't like competitive programming
I just completed an interesting homework assignment for my computer science class. The goal was to implement a few different sorting algorithms, count the number of swaps and comparisons, and compare their performance. You can find my code here, but I'm going to go through it in this article. Keep in mind, the point of this assignment wasn't to write clean code, it was to create a bunch of hypotheses for the runtimes of these sorting algorithms and to test them experimentally. We didn't have to submit any code to get credit for this assignment, and we were even encouraged to copy code from the internet so we could write our report faster.
I started with this wrapper function to test some generic sorting algorithm:
void run_sort(void (*sort)(long *data, int *swaps, int *comparisons), long *data, char *name) {
int swaps, comparisons;
long scratch[NUM_ELEMS];
swaps = comparisons = 0;
memcpy(scratch, data, sizeof(scratch));
sort(scratch, &swaps, &comparisons);
printf("%s: %d swaps, %d comparisons\n", name, swaps, comparisons);
}
This is a pattern that comes from functional programming, which you don't see very often in C since we don't have native closures. This is pretty unclean, but when I was writing it I knew that I was only going to use it for four relatively simple functions. I would never have to expand this code to fit some new requirement, so this small amount of technical debt is worth it to save the 10 or so lines that would have come from repeating all of this stuff over and over. Speaking of which, my main function now looks like this:
int main() {
long data[NUM_ELEMS];
srandom(42);
for (int i = 0; i < NUM_ELEMS; ++i) {
data[i] = random();
}
run_sort(insertion, data, "Insertion");
run_sort(selection, data, "Selection");
run_sort(bubble, data, "Bubble");
run_sort(merge, data, "Merge");
}
This looks nice, but now all of our sorting algorithm functions have to follow a very specific function template. If we ever want to benchmark some new piece of information, say the total number of jumps between non-adjacent list items, we can't just add that in. That's fine though, because we're not benchmarking that piece of information, so we don't have to worry about it.
All of the O(n^2) sorting algorithms are pretty standard, I do use a dirty trick to swap two integers though, which can be seen in my insertion sort implementation:
void insertion(long *data, int *swaps, int *comparisons) {
for (int i = 1; i < NUM_ELEMS; ++i) {
for (int j = i-1; j >= 0; --j) {
++*comparisons;
if (data[j+1] > data[j]) {
break;
}
++*swaps;
data[j+1] ^= data[j];
data[j] ^= data[j+1];
data[j+1] ^= data[j];
}
}
}
Ah yes, the old xor swap hack. This works because xor is associative and commutative, and anything xor itself equals the identity (zero). This is slightly faster to write than the standard scratch variable swap method, so sacrifice readability for terseness.
My mergesort implementation is just awful. I used exclusively one-letter variable names, since they're faster to type than verbose names. Also, since we're doing mergesort on a linkedlist, we never do any swaps, so we just have an ignored function argument.
struct node {
long v;
struct node *n;
};
struct node *mergesort(struct node *l, int *c) {
struct node *t, *h, *r, **i;
if (l->n == NULL) {
return l;
}
t = h = l;
for (;;) {
if (h->n == NULL || h->n->n == NULL) {
break;
}
h = h->n->n;
t = t->n;
}
h = t->n;
t->n = NULL;
t = mergesort(l, c);
h = mergesort(h, c);
i = &r;
while (t != NULL && h != NULL) {
++*c;
if (t->v < h->v) {
*i = t;
t = t->n;
} else {
*i = h;
h = h->n;
}
i = &(*i)->n;
}
if (t != NULL) {
*i = t;
} else {
*i = h;
}
return r;
}
void merge(long *data, int *swaps, int *comparisons) {
(void) swaps;
struct node *head, **iter, *it;
iter = &head;
for (int i = 0; i < NUM_ELEMS; ++i) {
*iter = malloc(sizeof(struct node));
(*iter)->v = data[i];
iter = &(*iter)->n;
}
*iter = NULL;
head = mergesort(head, comparisons);
it = head;
for (int i = 0; i < NUM_ELEMS; ++i) {
data[i] = it->v;
it = it->n;
}
it = head;
while (it != NULL) {
struct node *next = it->n;
free(it);
it = next;
}
}
We start by finding the middle element with the tortoise and hare algorithm
(that's what t
and h
are), split the list into two parts by adding a NULL
pointer, sort both parts, and merge them using
the Linus
Torvalds linkedlist pointer trick. We reuse t
and h
as our pointers to the
two halves of our linkedlist, a fact which is not at all obvious from just the
code and which is not announced in a comment.
This code is awful. I feel like I'm losing future job prospects just by publishing it. Unfortunately, there are certain environments that encourage writing code like this. When the requirements are relatively simple, guaranteed not to change (such as in a programming competition or homework assignment), and code quality doesn't matter, but the time it takes to write the code does matter, code like this is almost inevitable. I've always disliked competitive programming for this reason.