Extended pruning for pattern unification
prim I
prim Path (A : I → Type) (a : A 0) (b : A 1) : Type
The vanilla pattern unification is very limited. Consider:
Path (fn i ⇒ Vec (+-assoc i) A)
((xs ++ ys) ++ zs)
(xs ++ (ys ++ zs))
This is the equality between two sized vectors: (xs ++ (ys ++ zs))
and ((xs ++ ys) ++ zs)
, the left hand side has type Vec (xs.size ++ (ys.size ++ zs.size)) A
, and the right hand side has type Vec ((xs.size ++ ys.size) ++ zs.size)
.
So, the equality type is heterogeneous, and I introduce a type Vec (+-assoc i) A
for it, where +-assoc
is the associativity.
So this should type check, right? But pattern unification fails! I've left the two sides of +-assoc
implicit, so I'm supposed to infer what numbers' associativity I care about, using pattern unification.
Then, pattern unification fails because the constraints are generated from cubical boundaries, where the "interval" variable is substituted to its sides. So, we have this type (the Path
is called PathP
in Agda):
Γ ⊢ Path (fn i => Vec (+-assoc i) Nat) vecA vecB
Note the type of +-assoc
is Fn (o p q : Nat) → ((o + p) + q) = (o + (p + q))
.
So elaboration inserts metavariables:
Γ ⊢ Path (fn i => Vec (+-assoc {?} {?} {?} i) Nat) vecA vecB
Where these metavariables have the following scope:
Γ , i : I ⊢ ? : Nat
Note that the i : I
binding is in-scope. So the metavariables with their spines added together becomes:
Γ ⊢ Path (fn i => Vec (+-assoc {?a Γ i} {?b Γ i} {?c Γ i} i) Nat) vecA vecB
Then, we get the following tycking problems, according to the rules of Path
:
vecA : Vec (+-assoc {?a Γ 0} {?b Γ 0} {?c Γ 0} 0) Nat
vecB : Vec (+-assoc {?a Γ 1} {?b Γ 1} {?c Γ 1} 1) Nat
Look at the spines of all of these metavariables. None of them are in pattern fragment. So every equality constraint cannot be solved by pattern, because they're always equality after a substitution!
This can be solved by further extending your algorithm with pruning or a constraint system with a "lax" mode of solving metas when your equations rely essentially on non-pattern equations, but I feel it has defeated the point of finding the most general solution, which I used to believe to be the purpose of pattern unification....
Case Study
Right now Aya will try to prune these non-pattern arguments out and try to solve them. This obviously generates non-unique solutions, but I think it will be useful in practice.
In Agda, the following code is in the library:
++-assoc : ∀ {m n k} (xs : Vec A m) (ys : Vec A n) (zs : Vec A k) →
PathP (λ i → Vec A (+-assoc m n k (~ i)))
((xs ++ ys) ++ zs) (xs ++ ys ++ zs)
++-assoc {m = zero} [] ys zs = refl
++-assoc {m = suc m} (x ∷ xs) ys zs i = x ∷ ++-assoc xs ys zs i
However, if we replace the m
with _
, Agda will fail with the following error:
Failed to solve the following constraints:
_41 (xs = (x ∷ xs)) (ys = ys) (zs = zs) = x ∷ ++-assoc xs ys zs i1
: Vec A
(+-assoc (_m_39 (xs = (x ∷ xs)) (ys = ys) (zs = zs) (i = i1)) n k
(~ i1))
(blocked on any(_41, _57))
_40 (xs = (x ∷ xs)) (ys = ys) (zs = zs) = x ∷ ++-assoc xs ys zs i0
: Vec A
(+-assoc (_m_39 (xs = (x ∷ xs)) (ys = ys) (zs = zs) (i = i0)) n k
(~ i0))
(blocked on any(_40, _57))
+-assoc (_m_39 (xs = xs) (ys = ys) (zs = zs) (i = i)) n k (~ i)
= _n_49
: ℕ
(blocked on _n_49)
+-assoc (_m_39 (xs = (x ∷ xs)) (ys = ys) (zs = zs) (i = i)) n k
(~ i)
= ℕ.suc _n_49
: ℕ
(blocked on _m_39)
_40 (xs = []) (ys = ys) (zs = zs)
= _41 (xs = []) (ys = ys) (zs = zs)
: _x.A_43
(blocked on any(_40, _41))
_x.A_43
= Vec A
(+-assoc (_m_39 (xs = []) (ys = ys) (zs = zs) (i = i)) n k (~ i))
: Type
(blocked on _x.A_43)
_m_39 (i = i0) = m : ℕ (blocked on _m_39)
_m_39 (i = i1) + (n + k) = m + (n + k) : ℕ (blocked on _m_39)
In Aya, this will raise the following warning:
6 │ def ++-assoc-type (xs : Vec n A) (ys : Vec m A) (zs : Vec o A)
7 │ => Path (fn i => Vec (+-assoc i) A)
8 │ (xs ++ (ys ++ zs))
│ ╰──────────────╯ ?a n A m o xs ys zs 0 >= n, ?b n A m o xs ys zs 0 >= m,
?c n A m o xs ys zs 0 >= o
9 │ ((xs ++ ys) ++ zs)
│ ╰──────────────╯
│ ╰──────────────╯ ?a n A m o xs ys zs 1 >= n, ?b n A m o xs ys zs 1 >= m,
?c n A m o xs ys zs 1 >= o
Info: Solving equation(s) with not very general solution(s)
The inline equations are the type checking problems that Aya did something bad to solve.
Conor McBride told me pattern unification is a good algorithm, but the problem of interest might not be what we think it is. It is good for undergraduate induction, i.e. the object being induct on is a variable, and the motive of such induction is pattern. This is an enlightening perspective! But now that we have more problems, I think we might want to extend it. Just think about how many people use --lossy-unification
in Agda.