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@asvnpr
Created April 25, 2016 01:54
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(* Alejandro Salvador Vega Nogales
801-13-7956
Prof. Koutis
CCOM-4029 *)
open List;
(* 1. Functions takes a list l and an int n ; Outputs l where the indexes are offset by n places
wrapper functions saves on calculations by making sure the list doesn't wrap around unnecessary
times. *)
fun rotN(nil, n) = []
| rotN(l, 0) = l
| rotN(h::t, n:int) = if (n > 0) then
rotN([last(t)]@rev(tl(rev(h::t))),n-1)
else
rotN(t@[h], n+1);
fun rotWrap(l, n) = rotN(l, (n mod length(l)));
(* 2.) function that takes a list l and an int k and returns
a tuple of 2 lists. the first list is the list with the first k elements of l
and the second list is the one with the remaining elements *)
fun splitList(nil, k) = (nil, nil)
| splitList(l, k) = (take (l, k), drop (l, k));
(* 3.) wrapper function takes a list l and a number k.
sends l, k, nil list, and the starting index(0) to the
function that actually does the work(posRemove) this function just adds
elements to the second list if the index isn't divisible with k and if the index is 0
and at the end it outputs the second list*)
fun posRemove (nil, k, l, count) = l
| posRemove (h::t, k, l, count) =
if (count = 0) then
posRemove (t, k, l@[h], count+1)
else if (count mod k <> 0) then
posRemove (t, k, l@[h], count+1)
else
posRemove(t, k, l, count+1);
fun posReWrap (l, k:int) = posRemove(l, k, nil, 0);
(* 4.) *)
(*function that find the nth fibonacci number: *)
fun fib n =
if n < 3 then
1
else
fib (n-1) + fib (n-2);
(* function that finds x number of fibonacci numbers where x is the length of the list,
but if the next fibonacci number is larger than the length of the list the function stops and
returns the list it has built up to that point *)
fun nFibs (~1, l, len) = l
| nFibs (n, nil, len) = nFibs(n+1, [fib(n)], len)
| nFibs (n, l, len) =
if (fib(n+1) > len andalso n <> len) then
nFibs(~1, l, len)
else
nFibs(n + 1, l@[fib(n)], len);
(* check if a number is in a list. very unefficient since worse
case scenario is that it compares each element of a list of length n
n times.
could be made more efficient with binary search since
the fibonaci list is sorted? *)
fun inList (x, nil, inL) = inL
| inList(x, h::t, inL) =
if (x = h) then
inList(x, nil, true)
else
inList(x, t, inL);
(* function that takes a list and returns the elements of the list whose index is not a
fibonacci number *)
fun remFibIndex(nil, fibList, l, count) = l
| remFibIndex (h::t, fibList, l, count) =
if (inList(count, fibList, false) = false) then
remFibIndex (t, fibList, l@[h], count + 1)
else
remFibIndex (t, fibList, l, count + 1);
(* wrapper function that just takes the list as specified and returns the list with elements
whose original index wasn't a fibonaci number: *)
fun noFibIndex (l) = remFibIndex(l, nFibs(0, [], List.length(l)), [], 0);
(* 5 *)
(* a declaration of a datatype that is a binary tree that ONLY holds values at its leaves*)
datatype 'a binTree = Leaf of 'a
| Node of 'a binTree * 'a binTree;
(* b a function that takes all the elements in a binary tree of the
sames type as above and outputs the elements from left to right in a list *)
fun leafList (Leaf c) = [c]
| leafList(Node(left, right)) = leafList(left)@leafList(right);
(* c *)
(* a function that finds the rightestmost leaf of a tree *)
fun findRightest (Leaf c) = c
| findRightest(Node(l, r)) = findRightest(r);
(* a function that takes an ordered binary tree and a number n and outputs
an ordered binary tree that includes n
i.e a function that inserts an element into an already ordered binary tree *)
fun leafInsert(Node(l, r), n) =
if (findRightest(l) < n) then
Node (l, leafInsert(r, n))
else
Node(leafInsert(l, n), r)
| leafInsert(Leaf c, n) =
if (n > c) then
Node(Leaf c, Leaf n)
else if (n < c) then
Node(Leaf n, Leaf c)
else
Leaf n
(* d a function that takes a list and outputs an ordered version of the same list *)
fun whyDontYouMakeLikeATree(h::t, 1) = Leaf h
| whyDontYouMakeLikeATree(h::t, len) = leafInsert(whyDontYouMakeLikeATree(t, len - 1), h);
fun treeToList(l) = leafList(whyDontYouMakeLikeATree(l, length(l)));
(* not very happy with the implementation of c. very inefficient:
test out with this function as input for worst case scenario:
fun nSizeList (0, l) = l
| nSizeList(n, l) = nSizeList(n - 1, l@[n]);
*)
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