chimera
Lazy infinite compact streams with cachefriendly O(1) indexing
and applications for memoization.
Imagine having a function f :: Word > a
,
which is expensive to evaluate. We would like to memoize it,
returning g :: Word > a
, which does effectively the same,
but transparently caches results to speed up repetitive
reevaluation.
There are plenty of memoizing libraries on Hackage, but they
usually fall into two categories:

Store cache as a flat array, enabling us
to obtain cached values in O(1) time, which is nice.
The drawback is that one must specify the size
of the array beforehand,
limiting an interval of inputs,
and actually allocate it at once.

Store cache as a lazy binary tree.
Thanks to laziness, one can freely use the full range of inputs.
The drawback is that obtaining values from a tree
takes logarithmic time and is unfriendly to CPU cache,
which kinda defeats the purpose.
This package intends to tackle both issues,
providing a data type Chimera
for
lazy infinite compact streams with cachefriendly O(1) indexing.
Additional features include:
 memoization of recursive functions and recurrent sequences,
 memoization of functions of several, possibly signed arguments,
 efficient memoization of boolean predicates.
Example 1
Consider the following predicate:
isOdd :: Word > Bool
isOdd n = if n == 0 then False else not (isOdd (n  1))
Its computation is expensive, so we’d like to memoize it:
isOdd' :: Word > Bool
isOdd' = memoize isOdd
This is fine to avoid reevaluation for the same arguments.
But isOdd
does not use this cache internally, going all the way
of recursive calls to n = 0
. We can do better,
if we rewrite isOdd
as a fix
point of isOddF
:
isOddF :: (Word > Bool) > Word > Bool
isOddF f n = if n == 0 then False else not (f (n  1))
and invoke tabulateFix
to pass cache into recursive calls as well:
isOdd' :: Word > Bool
isOdd' = memoizeFix isOddF
Example 2
Define a predicate, which checks whether its argument is
a prime number, using trial division.
isPrime :: Word > Bool
isPrime n = n > 1 && and [ n `rem` d /= 0  d < [2 .. floor (sqrt (fromIntegral n))], isPrime d]
This is certainly an expensive recursive computation and we would like
to speed up its evaluation by wrappping into a caching layer.
Convert the predicate to an unfixed form such that isPrime = fix isPrimeF
:
isPrimeF :: (Word > Bool) > Word > Bool
isPrimeF f n = n > 1 && and [ n `rem` d /= 0  d < [2 .. floor (sqrt (fromIntegral n))], f d]
Now create its memoized version for rapid evaluation:
isPrime' :: Word > Bool
isPrime' = memoizeFix isPrimeF