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Tags: Data Structures     Type

# type-indexed-queues alternatives and similar packages

Based on the "type" category.
Alternatively, view type-indexed-queues alternatives based on common mentions on social networks and blogs.

• ### type-level-sets

Type-level sets for Haskell (with value-level counterparts and various operations)
• ### type-level-bst

Type-Level Binary Search Tree in Haskell

Do you think we are missing an alternative of type-indexed-queues or a related project?

## Queues and Heaps with verified and unverified versions.

This library provides implementations of six different heaps (binomial, pairing, skew, splay, leftist, and Braun), each in two flavours: one verified, and one not.

At the moment, only structural invariants are maintained.

More information, and a walkthrough of a couple implementations, can be found at this blog post.

## Comparisons of verified and unverified heaps

Both versions of each heap are provided for comparison: for instance, compare the standard leftist heap (in Data.Heap.Leftist):

``````data Leftist a
= Leaf
| Node !Int
a
(Leftist a)
(Leftist a)
``````

To its size-indexed counterpart (in Data.Heap.Indexed.Leftist):

``````data Leftist n a where
Leaf :: Leftist 0 a
Node :: !(The Nat (n + m + 1))
-> a
-> Leftist n a
-> Leftist m a
-> !(m <= n)
-> Leftist (n + m + 1) a
``````

The invariant here (that the size of the left heap must always be less than that of the right) is encoded in the proof `m <= n`.

With that in mind, compare the unverified and verified implementatons of `merge`:

``````merge Leaf h2 = h2
merge h1 Leaf = h1
merge [email protected](Node w1 p1 l1 r1) [email protected](Node w2 p2 l2 r2)
| p1 < p2 =
if ll <= lr
then Node (w1 + w2) p1 l1 (merge r1 h2)
else Node (w1 + w2) p1 (merge r1 h2) l1
| otherwise =
if rl <= rr
then Node (w1 + w2) p2 l2 (merge r2 h1)
else Node (w1 + w2) p2 (merge r2 h1) l2
where
ll = rank r1 + w2
lr = rank l1
rl = rank r2 + w1
rr = rank l2
``````

Verified:

``````merge Leaf h2 = h2
merge h1 Leaf = h1
merge [email protected](Node w1 p1 l1 r1 _) [email protected](Node w2 p2 l2 r2 _)
| p1 < p2 =
if ll <=. lr
then Node (w1 +. w2) p1 l1 (merge r1 h2)
else Node (w1 +. w2) p1 (merge r1 h2) l1 . totalOrder ll lr
| otherwise =
if rl <=. rr
then Node (w1 +. w2) p2 l2 (merge r2 h1)
else Node (w1 +. w2) p2 (merge r2 h1) l2 . totalOrder rl rr
where
ll = rank r1 +. w2
lr = rank l1
rl = rank r2 +. w1
rr = rank l2
``````

## Using type families and typechecker plugins to encode the invariants

The similarity is accomplished through overloading, and some handy functions. For instance, the second if-then-else works on boolean singletons, and the `<=.` function provides a proof of order along with its answer. The actual arithmetic is carried out at runtime on normal integers, rather than Peano numerals. These tricks are explained in more detail TypeLevel.Singletons and TypeLevel.Bool.

A typechecker plugin does most of the heavy lifting, although there are some (small) manual proofs.

## Uses of verified heaps

The main interesting use of these sturctures is total traversable sorting (sort-traversable). An implementation of this is provided in Data.Traversable.Parts. I'm interested in finding out other uses for these kinds of structures.