ChasingBottoms

For testing partial and infinite values.

Version on this page:1.3.1.12@rev:2
LTS Haskell 22.37:1.3.1.15
Stackage Nightly 2024-10-06:1.3.1.15
Latest on Hackage:1.3.1.15

See all snapshots ChasingBottoms appears in

MIT licensed by Nils Anders Danielsson
Maintained by http://www.cse.chalmers.se/~nad/
This version can be pinned in stack with:ChasingBottoms-1.3.1.12@sha256:eae561348250fb8a382bb9c421c8fbb251b35bd58759f4d54bb4b9d83af84d8b,6538

Do you ever feel the need to test code involving bottoms (e.g. calls to the error function), or code involving infinite values? Then this library could be useful for you.

It is usually easy to get a grip on bottoms by showing a value and waiting to see how much gets printed before the first exception is encountered. However, that quickly gets tiresome and is hard to automate using e.g. QuickCheck (http://www.cse.chalmers.se/~rjmh/QuickCheck/). With this library you can do the tests as simply as the following examples show.

Testing explicitly for bottoms:

> isBottom (head [])
True
> isBottom bottom
True
> isBottom (\_ -> bottom)
False
> isBottom (bottom, bottom)
False

Comparing finite, partial values:

> ((bottom, 3) :: (Bool, Int)) ==! (bottom, 2+5-4)
True
> ((bottom, bottom) :: (Bool, Int)) <! (bottom, 8)
True

Showing partial and infinite values (\/! is join and /\! is meet):

> approxShow 4 $ (True, bottom) \/! (bottom, 'b')
"Just (True, 'b')"
> approxShow 4 $ (True, bottom) /\! (bottom, 'b')
"(_|_, _|_)"
> approxShow 4 $ ([1..] :: [Int])
"[1, 2, 3, _"
> approxShow 4 $ (cycle [bottom] :: [Bool])
"[_|_, _|_, _|_, _"

Approximately comparing infinite, partial values:

> approx 100 [2,4..] ==! approx 100 (filter even [1..] :: [Int])
True
> approx 100 [2,4..] /=! approx 100 (filter even [bottom..] :: [Int])
True

The code above relies on the fact that bottom, just as error "...", undefined and pattern match failures, yield exceptions. Sometimes we are dealing with properly non-terminating computations, such as the following example, and then it can be nice to be able to apply a time-out:

> timeOut' 1 (reverse [1..5])
Value [5,4,3,2,1]
> timeOut' 1 (reverse [1..])
NonTermination

The time-out functionality can be used to treat "slow" computations as bottoms:

> let tweak = Tweak { approxDepth = Just 5, timeOutLimit = Just 2 }
> semanticEq tweak (reverse [1..], [1..]) (bottom :: [Int], [1..] :: [Int])
True
> let tweak = noTweak { timeOutLimit = Just 2 }
> semanticJoin tweak (reverse [1..], True) ([] :: [Int], bottom)
Just ([],True)

This can of course be dangerous:

> let tweak = noTweak { timeOutLimit = Just 0 }
> semanticEq tweak (reverse [1..100000000]) (bottom :: [Integer])
True

Timeouts can also be applied to IO computations:

> let primes () = unfoldr (\(x:xs) -> Just (x, filter ((/= 0) . (`mod` x)) xs)) [2..]
> timeOutMicro 100 (print $ primes ())
[2,NonTermination
> timeOutMicro 10000 (print $ take 10 $ primes ())
[2,3,5,7,11,13,17,19,23,29]
Value ()

For the underlying theory and a larger example involving use of QuickCheck, see the article "Chasing Bottoms, A Case Study in Program Verification in the Presence of Partial and Infinite Values" (http://www.cse.chalmers.se/~nad/publications/danielsson-jansson-mpc2004.html).

The code has been tested using GHC. Most parts can probably be ported to other Haskell compilers, but this would require some work. The TimeOut functions require preemptive scheduling, and most of the rest requires Data.Generics; isBottom only requires exceptions, though.