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Do you think we are missing an alternative of justifiedcontainers or a related project?
README
justifiedcontainers
Keyed container types with typechecked proofs of key presence.
Table of contents
Description
Have you ever known that a key could be found in a certain map? Were you tempted to
reach for fromJust
or error
to handle the "impossible" case, when you knew that
lookup
should give Just v
? (and did shifting requirements ever make the impossible
become possible after all?)
Data.Map.Justified
provides a zerocost newtype
wrapper around Data.Map.Map
that enables you to separate the proof that a key is present from the operations using the key.
Once you prove that a key is present, you can use it Maybe
free in any number of other
operations  sometimes even operations on other maps!
None of the functions in this module can cause a runtime error, and very few
of the operations return a Maybe
value.
See the Data.Map.Justified.Tutorial
module for usage examples, or browse the API of the
most recent release on Hackage.
Example
withMap test_table $ \table > do
case member 1 table of
Nothing > putStrLn "Sorry, I couldn't prove that the key is present."
Just key > do
 We have proven that the key is present, and can now use it Maybefree...
putStrLn ("Found key: " ++ show key)
putStrLn ("Value for key: " ++ lookup key table)
 ...even in certain other maps!
let table' = reinsert key "howdy" table
putStrLn ("Value for key in updated map: " ++ lookup key table')
Output:
Found key: Key 1
Value for key: hello
Value for key in updated map: howdy
Motivation: Data.Map
and Maybe
values
Suppose you have a keyvalue mapping using Data.Map
's type Map k v
. Anybody making
use of Map k v
to look up or modify a value must take into account the possibility
that the given key is not present.
In Data.Map
, there are two strategies for dealing with absent keys:
Cause a runtime error (e.g.
Data.Map
's(!)
when the key is absent)Return a
Maybe
value (e.g.Data.Map
'slookup
)
The first option introduces partial functions, so is not very palatable. But what is wrong with the second option?
To understand the problem with returning a Maybe
value, let's ask what the Maybe v
in
lookup :: k > Map k v > Maybe v
really does for us. By returning
a Maybe v
value, lookup key table
is saying "Your program must account
for the possibility that key
cannot be found in table
. I will ensure that you
account for this possibility by forcing you to handle the Nothing
case."
In effect, Data.Map
is requiring the user to prove they have handled the
possibility that a key is absent whenever they use the lookup
function.
Laziness (the bad kind)
Every programmer has probably had the experience of knowing, somehow, that a certain
key is going to be present in a map. In this case, the Maybe v
feels like a burden:
I already know that this key is in the map, why should I have to handle the Nothing
case?
In this situation, it is tempting to reach for the partial function fromJust
,
or a pattern match like Nothing > error "The impossible happened!"
. But as parts of
the program are changed over time, you may find the impossible has become possible after
all (or perhaps youll see the dreaded and unhelpful *** Exception: Maybe.fromJust: Nothing
)
It is tempting to reach for partial functions or "impossible" runtime errors here, because
the programmer has proven that the key is a member of the map in some other way. They
know that lookup
should return a Just v
 but the compiler doesnt know this!
The idea behind Data.Map.Justified
is to encode the programmers knowledge that a key
is present within the type system, where it can be checked at compiletime. Once a key
is known to be present, Data.Map.Justified
's lookup
will never fail. Your justification
removes the Just
!
How it works
Evidence that a key can indeed be found in a map is carried by a phantom type parameter ph
shared by both the Data.Map.Justified.Map
and Data.Map.Justified.Key
types. If you are
able to get your hands on a value of type Key ph k
, then you must have already proven that
the key is present in any value of type Map ph k v
.
The Key ph k
type is simply a newtype
wrapper around k
, but the phantom type ph
allows
Key ph k
to represent both a key of type k
and a proof that the key is present in
all maps of type Map ph k v
.
There are several ways to prove that a key belongs to a map, but the simplest is to just use
Data.Map.Justified
's member
function. In Data.Map
, member
has the type
member :: Ord k => k > Map k v > Bool
and reports whether or not the key can be found in the map. In Data.Map.Justified
,
member
has the type
member :: Ord k => k > Map ph k v > Maybe (Key ph k)
Instead of a boolean, Data.Map.Justified
's member
either says the key is not present
(Nothing
), or gives back the same key, augmented with evidence that they key
is present. This keyplusevidence can then be used to do any number of Maybe
free
operations on the map.
Data.Map.Justified
uses the same rank2 polymorphism trick used in the Control.Monad.ST
monad to
ensure that the ph
phantom type can not be extracted; in effect, the proof that a key is
present can't leak to contexts where the proof would no longer be valid.
Phantom evidence
You can interpret the ph
phantom type as a concrete set of keys; under this interpretation,
a value of type Key ph k
is a key of type k
, belonging to the subset described by ph
.
Similarly, a Map ph k v
is a map whose keys are exactly the subset of k
described by ph
.
From this perspective, the maps behave as if they were total, leading to their Maybe
free behavior.
Why all the continuations?
Many of the functions in justifiedcontainers
make use of continuations, but why? As a casestudy,
consider the basic function withMap
that promotes a standard Data.Map.Map
to a `Data.Map.Justified.Map':
import Data.Map.Justified
import qualified Data.Map as M
withMap :: M.Map k v > (forall ph. Map ph k v > t) > t
The last (forall ph. Map ph k v > t) > t
part is the continuation.
The idea is that we know there is some set of keys ph
belonging to this particular map, but
at compiletime we may not know exactly what it is. But it does exist, after all, so we should be
able to write
withMap :: M.Map k v > exists ph. Map ph k v
Similarly, the inserting
function could look like
inserting :: k > v > Map ph k v > exists ph'. Map ph' k v
which can be read as "after inserting a key/value pair, we get a (possibly) different set of keys ph'
".
But in this case, we actually know a bit more: first, the inserted key will be found in the new map. And
second, every key in ph
can also be found in ph'
. We
can encode that knowledge by giving an explicit inclusion of ph
into ph'
, encoded as a function of
type Key ph k > Key ph' k
. So we could rewrite inserting
with the type
inserting :: k > v > Map ph k v > exists ph'. (Key ph' k, Key ph k > Key ph' k, Map ph' k v)
 \_______/ \___________________/ \_________/
 the new key______  
 the inclusion__ 
 the new map_____
Likewise, when deleting a key from a map with keys ph
, we get a new map with keys ph'
along
with a guarantee that ph'
is a subset of ph
. Compared to inserting
, the inclusion goes the
other way: there is an inclusion of ph'
in ph
, encoded as a function of type Key ph' k > Key ph l
.
Altogether, we could give deleting
the type
deleting :: k > Map ph k v > exists ph'. (Key ph' k > Key ph k, Map ph' k v)
 \___________________/ \_________/
  
 the reversed inclusion__ 
 the new map_____
A similar pattern works for other map operations like union
, intersection
, difference
, and
filter
.
But what about the continuations?
In the last section, we argued that deleting
should have a type like
deleting :: k > Map ph k v > exists ph'. (Key ph' k > Key ph k, Map ph' k v)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
But if you check the documentation, you'll see the type
deleting :: k > Map ph k v > (forall ph'. (Key ph' k > Key ph k, Map ph' k v) > t) > t
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
What happened to the underlined part of the type?
The problem is that Haskell doesn't support existential types directly: the exists
part of
the type we wrote out is just wishful thinking. Instead, we have to go about things a little
indirectly: we'll encode existentiallyquantified types, via rank2 universallyquantified types.
The idea can be understood via the CurryHoward correspondence:
In classical logic, we have an equivalence between the propositions ∃X.P(X)
and ∀T. ((∀X.P(X) => T) => T)
. It turns out that this equivalence remains valid
in constructive logic, so we can transport it via the CurryHoward correspondence to get
an isomorphism between types:
exists ph. Map ph k v ~ (forall ph. Map ph k v > t) > t
In other words, instead of returning the existentiallyquantified type directly we say "tell me what you wanted to do with that existentiallyquantified type, and I'll do it for you".