Accumulator in Haskell - variables

I have this function:
map(\x -> if (isLetter x) then (update exp (Literal x) "") else Epsilon) "a+b+c+" where exp = Epsilon
and i want for each step of the map function my variable exp to not be Epsilon but to remain the same as the step before and I also want to keep the list of intermediate results. Can someone help me ?

Since you want to keep the intermediate results, the direct translation from what I gather to be the intent is
scanl (\exp x -> if (isLetter x) then update exp (Literal x) "" else Epsilon) Epsilon "a+b+c+"
The type of scanl is
Prelude> :t scanl
scanl :: (a -> b -> a) -> a -> [b] -> [a]
the first argument is a function to combine the current "state" and the next list element, the second is the initial "state". So the above updates the "state" using the function you supplied, adjusted to take two arguments.
I'm not sure that you really want to reset the accumulator to Epsilon for each non-letter, if not, you'd need to change the combining function, maybe
\exp x -> if (isLetter x) then update exp (Literal x) "" else exp
to keep the old value of the accumulator for non-letters.

Related

Proving `weaken` doesn't change the value of a number

Let's say we want to prove that weakening the upper bound of a Data.Fin doesn't change the value of the number. The intuitive way to state this is:
weakenEq : (num : Fin n) -> num = weaken num
Let's now generate the defini... Hold on! Let's think a bit about that statement. num and weaken num have different types. Can we state the equality in this case?
The documentation on = suggests we can try to, but we might want to use ~=~ instead. Well, anyway, let's go ahead and generate the definition and case-split, resulting in
weakenEq : (num : Fin n) -> num = weaken num
weakenEq FZ = ?weakenEq_rhs_1
weakenEq (FS x) = ?weakenEq_rhs_2
The goal in the weakenEq_rhs_1 hole is FZ = FZ, which still makes sense from the value point of view. So we optimistically replace the hole with Refl, but only to fail:
When checking right hand side of weakenEq with expected type
FZ = weaken FZ
Unifying k and S k would lead to infinite value
A somewhat cryptic error message, so we wonder if that's really related to the types being different.
Anyway, let's try again, but now with ~=~ instead of =. Unfortunately, the error is still the same.
So, how one would state and prove that weaken x doesn't change the value of x? Does it really make sense to? What should I do if that's a part of a larger proof where I might want to rewrite a Vect n (Fin k) with Vect n (Fin (S k)) that's obtained by mapping weaken over the original vector?
If you really want to prove that the value of the Fin n does not change after applying the weaken function, you would need to prove the equality of these values:
weakenEq: (num: Fin n) -> finToNat num = finToNat $ weaken num
weakenEq FZ = Refl
weakenEq (FS x) = cong $ weakenEq x
To your second problem/Markus' comment about map (Data.Fin.finToNat) v = map (Data.Fin.finToNat . Data.Fin.weaken) v:
vectorWeakenEq : (v: Vect n (Fin k)) ->
map Fin.finToNat v = map (Fin.finToNat . Fin.weaken) v
vectorWeakenEq [] = Refl
vectorWeakenEq (x :: xs) =
rewrite sym $ weakenEq x in
cong {f=(::) (finToNat x)} (vectorWeakenEq xs)
And to see why num = weaken num won't work, let's take a look at a counterexample:
getSize : Fin n -> Nat
getSize _ {n} = n
Now with x : Fin n, getSize x = n != (n + 1) = getSize (weaken x). This won't happen with functions which only depend on the constructors, like finToNat. So you have to constrain yourself to those and prove that they behave like that.

Why is filter based on dependent pair?

In the Idris Tutorial a function for filtering vectors is based on dependent pairs.
filter : (a -> Bool) -> Vect n a -> (p ** Vect p a)
filter f [] = (_ ** [])
filter f (x :: xs) with (filter f xs )
| (_ ** xs') = if (f x) then (_ ** x :: xs') else (_ ** xs')
But why is it necessary to put this in terms of a dependent pair instead of something more direct such as?
filter' : (a -> Bool) -> Vect n a -> Vect p a
In both cases the type of p must be determined, but in my supposed alternative the redundancy of listing p twice is eliminated.
My naive attempts at implementing filter' failed, so I was wondering is there a fundamental reason that it can't be implemented? Or can filter' be implemented, and perhaps filter was just a poor example to showcase dependent pairs in Idris? But if that is the case then in what situations would dependent pairs be useful?
Thanks!
The difference between filter and filter' is between existential and universal quantification. If (a -> Bool) -> Vect n a -> Vect p a was the correct type for filter, that would mean filter returns a Vector of length p and the caller can specify what p should be.
Kim Stebel's answer is right on the money. Let me just note that this was already discussed on the Idris mailing list back in 2012 (!!):
filter for vector, a question - Idris Programming Language
What raichoo posted there can help clarifying it I think; the real signature of your filter' is
filter' : {p : Nat} -> {n: Nat} -> {a: Type} -> (a -> Bool) -> Vect a n -> Vect a p
from which it should be obvious that this is not what filter should (or even could) do; p actually depends on the predicate and the vector you are filtering, and you can (actually need to) express this using a dependent pair. Note that in the pair (p ** Vect p a), p (and thus Vect p a) implicitly depends on the (unnamed) predicate and vector appearing before it in its signature.
Expanding on this, why a dependent pair? You want to return a vector, but there's no "Vector with unknown length" type; you need a length value for obtaining a Vector type. But then you can just think "OK, I will return a Nat together with a vector with that length". The type of this pair is, unsurprisingly, an example of a dependent pair. In more detail, a dependent pair DPair a P is a type built out of
A type a
A function P: a -> Type
A value of that type DPair a P is a pair of values
x: a
y: P a
At this point I think that is just syntax what might be misleading you. The type p ** Vect p a is DPair Nat (\p => Vect p a); p there is not a parameter for filter or anything like it. All this can be a bit confusing at first; if so, maybe it helps thinking of p ** Vect p a as a substitute for the "Vector with unknown length" type.
Not an answer, but additional context
Idris 1 documentation - https://docs.idris-lang.org/en/latest/tutorial/typesfuns.html#dependent-pairs
Idris 2 documentation - https://idris2.readthedocs.io/en/latest/tutorial/typesfuns.html?highlight=dependent#dependent-pairs
In Idris 2 the dependent pair defined here
and is similar to Exists and Subset but BOTH of it's values are NOT erased at runtime

Understanding 'impossible'

Type-Driven Development with Idris presents:
twoPlusTwoNotFive : 2 + 2 = 5 -> Void
twoPlusTwoNotFive Refl impossible
Is the above a function or value? If it's the former, then why is there no variable arguments, e.g.
add1 : Int -> Int
add1 x = x + 1
In particular, I'm confused at the lack of = in twoPlusTwoNotFive.
impossible calls out combinations of arguments which are, well, impossible. Idris absolves you of the responsibility to provide a right-hand side when a case is impossible.
In this instance, we're writing a function of type (2 + 2 = 5) -> Void. Void is a type with no values, so if we succeed in implementing such a function we should expect that all of its cases will turn out to be impossible. Now, = has only one constructor (Refl : x = x), and it can't be used here because it requires ='s arguments to be definitionally equal - they have to be the same x. So, naturally, it's impossible. There's no way anyone could successfully call this function at runtime, and we're saved from having to prove something that isn't true, which would have been quite a big ask.
Here's another example: you can't index into an empty vector. Scrutinising the Vect and finding it to be [] tells us that n ~ Z; since Fin n is the type of natural numbers less than n there's no value a caller could use to fill in the second argument.
at : Vect n a -> Fin n -> a
at [] FZ impossible
at [] (FS i) impossible
at (x::xs) FZ = x
at (x::xs) (FS i) = at xs i
Much of the time you're allowed to omit impossible cases altogether.
I slightly prefer Agda's notation for the same concept, which uses the symbol () to explicitly pinpoint which bit of the input expression is impossible.
twoPlusTwoNotFive : (2 + 2 ≡ 5) -> ⊥
twoPlusTwoNotFive () -- again, no RHS
at : forall {n}{A : Set} -> Vec A n -> Fin n -> A
at [] ()
at (x ∷ xs) zero = x
at (x ∷ xs) (suc i) = at xs i
I like it because sometimes you only learn that a case is impossible after doing some further pattern matching on the arguments; when the impossible thing is buried several layers down it's nice to have a visual aid to help you spot where it was.

How do I define the property of a function being its own inverse in Idris?

I want to be able to say, for a function of f with signature t->t, that for all x in t, f(f(x)) = x.
When I run this:
%default total
-- The type of parity values - either Even or Odd
data Parity = Even | Odd
-- Even is the opposite of Odd and Odd is the opposite of Even
opposite: Parity -> Parity
opposite Even = Odd
opposite Odd = Even
-- The 'opposite' function is it's own inverse
opposite_its_own_inverse : (p : Parity) -> opposite (opposite p) = p
opposite_its_own_inverse Even = Refl
opposite_its_own_inverse Odd = Refl
-- abstraction of being one's own inverse
IsItsOwnInverse : {t : Type} -> (f: t->t) -> Type
IsItsOwnInverse {t} f = (x: t) -> f (f x) = x
opposite_IsItsOwnInverse : IsItsOwnInverse {t=Parity} opposite
opposite_IsItsOwnInverse = opposite_its_own_inverse
I get this error message:
- + Errors (1)
`-- own_inverse_example.idr line 22 col 25:
When checking right hand side of opposite_IsItsOwnInverse with expected type
IsItsOwnInverse opposite
Type mismatch between
(p : Parity) ->
opposite (opposite p) = p (Type of opposite_its_own_inverse)
and
(x : Parity) -> opposite (opposite x) = x (Expected type)
Specifically:
Type mismatch between
opposite (opposite v0)
and
opposite (opposite v0)
Am I doing something wrong, or is that just a bug?
If I replace the last 'opposite_its_own_inverse' with '?hole', I get:
Holes
This buffer displays the unsolved holes from the currently-loaded code. Press
the [P] buttons to solve the holes interactively in the prover.
- + Main.hole [P]
`-- opposite : Parity -> Parity
-------------------------------------------------------
Main.hole : (x : Parity) -> opposite (opposite x) = x
The name for this property is an involution. Your type for this property is pretty good but I like writing it like so:
Involution : (t -> t) -> t -> Type
Involution f x = f (f x) = x
The first problem with your opposite_IsItsOwnInverse is that you haven't fully applied Involution so you haven't yet gotten a type. You also need apply a Parity so that Involution gives a Type, like so:
opposite_IsItsOwnInverse : Involution opposite p
That p is an implicit argument. Implicit arguments are implicitly created by lowercase identifiers in type signatures. This is like writing:
opposite_IsItsOwnInverse : {p : Parity} -> Involution opposite p
But this leads to another problem with the signature - opposite is also lowercase, so it's getting treated as an implicit argument! (This is why you get the confusing error message, Idris has created another variable called opposite) You have 2 possible solutions here: qualify the identifier, or use an identifier which starts with an uppercase letter.
I'll assume the module you're writing uses the default name of Main. The final type signature looks like:
opposite_IsItsOwnInverse : Involution Main.opposite p
And the implementation will just use the implicit argument and supply it to the function you've already written:
opposite_IsItsOwnInverse {p} = opposite_its_own_inverse p

Maintaining a Nat within a fixed range

I'd like to have a Nat that remains within a fixed range. I would like functions incr and decr that fail if they are going to push the number outside the range. This seems like it might be a good use case for Fin, but I'm not really sure how to make it work. The type signatures might look something like this:
- Returns the next value in the ordered finite set.
- Returns Nothing if the input element is the last element in the set.
incr : Fin n -> Maybe (Fin n)
- Returns the previous value in the ordered finite set.
- Returns Nothing if the input element is the first element in the set.
decr : Fin n -> Maybe (Fin n)
The Nat will be used to index into a Vect n. How can I implement incr and decr? Is Fin even the right choice for this?
I guess the easiest way is to use some standard Fin↔Nat conversion functions from Data.Fin:
incr, decr : {n : Nat} -> Fin n -> Maybe (Fin n)
incr {n=n} f = natToFin (succ $ finToNat f) n
decr {n=n} f = case finToNat f of
Z => Nothing
S k => natToFin k n