module Cat.Solver whereprivate variable
o h : LevelSolver for categoriesπ
This module is split pretty cleanly into two halves: the first half implements an algorithm for reducing, in a systematic way, problems involving associativity and identity of composition in a precategory. The latter half, significantly more cursed, uses this infrastructure to automatically solve equality goals of this form.
With a precategory in hand, we start by defining a language of composition.
module NbE (Cat : Precategory o h) where
open Precategory Cat private variable
A B C : Ob data Expr : Ob β Ob β Type (o β h) where
`id : Expr A A
_`β_ : Expr B C β Expr A B β Expr A C
_β : Hom A B β Expr A B
infixr 40 _`β_
infix 50 _βA term of type Expr represents,
in a symbolic way, a composite of morphisms in our category
What this means is that, while
is some unknowable inhabitant of Hom,
represents an inhabitant of Hom
which is known to be a composition of (the trees that
represent)
and
We can now define βtwoβ ways of computing the morphism that an Expr represents. The first is a
straightforward embedding:
embed : Expr A B β Hom A B
embed `id = id
embed (f β) = f
embed (f `β g) = embed f β embed g instance
β¦β§-Expr : β¦β§-notation (Expr A B)
β¦β§-Expr = brackets _ embedThe second computation is a bit less obvious. If youβre a programmer, it should be familiar under the name βcontinuation passing styleβ. Categorically, it can be seen as embedding into the presheaf category of In either case, the difference is that instead of computing a single morphism, we compute a transformation of hom-spaces:
eval : Expr B C β Hom A B β Hom A C
eval `id f = f
eval (f β) g = f β g
eval (f `β g) h = eval f (eval g h)
nf : Expr A B β Hom A B
nf e = eval e idWorking this out in a back-of-the-envelope calculation, one sees that
eval f id should compute the same morphism as
embed f. Indeed, thatβs the case! Since embed is the βintended semanticsβ, and
eval is an βoptimised evaluatorβ,
we call this result soundness. We can prove it by induction on
the expression, by first generalising over id:
eval-sound-k : (e : Expr B C) (f : Hom A B) β eval e f β‘ β¦ e β§ β f
eval-sound-k `id f = sym (idl _) -- f β‘ id β f
eval-sound-k (f `β g) h =
eval f (eval g h) β‘β¨ eval-sound-k f _ β©
embed f β eval g h β‘β¨ ap (embed f β_) (eval-sound-k g _) β©
embed f β embed g β h β‘β¨ assoc _ _ _ β©
(embed f β embed g) β h β
eval-sound-k (x β) f = refl -- x β f β‘ x β f
eval-sound : (e : Expr A B) β nf e β‘ β¦ e β§
eval-sound e = eval-sound-k e id β idr _We now have a general theorem for solving associativity and identity problems! If two expressions compute the same transformation of hom-sets, then they represent the same morphism.
abstract
solve : (f g : Expr A B) β nf f β‘ nf g β β¦ f β§ β‘ β¦ g β§
solve f g p = sym (eval-sound f) ββ p ββ (eval-sound g)
solve-filler : (f g : Expr A B) β (p : nf f β‘ nf g) β Square (eval-sound f) p (solve f g p) (eval-sound g)
solve-filler f g p j i = ββ-filler (sym (eval-sound f)) p (eval-sound g) j iThe cursed partπ
module Reflection where
pattern category-args xs =
_ hmβ· _ hmβ· _ vβ· xs
pattern βidβ =
def (quote Precategory.id) (category-args (_ hβ· []))
pattern βββ f g =
def (quote Precategory._β_) (category-args (_ hβ· _ hβ· _ hβ· f vβ· g vβ· []))
mk-category-args : Term β List (Arg Term) β List (Arg Term)
mk-category-args cat xs = unknown hβ· unknown hβ· cat vβ· xs
βsolveβ : Term β Term β Term β Term
βsolveβ cat lhs rhs = def (quote NbE.solve) (mk-category-args cat $ infer-hidden 2 $ lhs vβ· rhs vβ· def (quote refl) [] vβ· [])
βnfβ : Term β Term β Term
βnfβ cat e = def (quote NbE.nf) (mk-category-args cat $ infer-hidden 2 $ e vβ· [])
build-expr : Term β Term
build-expr βidβ = con (quote NbE.`id) []
build-expr (βββ f g) = con (quote NbE._`β_) (build-expr f vβ· build-expr g vβ· [] )
build-expr f = con (quote NbE._β) (f vβ· [])
dont-reduce : List Name
dont-reduce = quote Precategory.id β· quote Precategory._β_ β· []
cat-solver : Term β SimpleSolver
cat-solver cat .SimpleSolver.dont-reduce = dont-reduce
cat-solver cat .SimpleSolver.build-expr tm = pure $ build-expr tm
cat-solver cat .SimpleSolver.invoke-solver = βsolveβ cat
cat-solver cat .SimpleSolver.invoke-normaliser = βnfβ cat
repr-macro : Term β Term β Term β TC β€
repr-macro cat f _ =
mk-simple-repr (cat-solver cat) f
simplify-macro : Term β Term β Term β TC β€
simplify-macro cat f hole =
mk-simple-normalise (cat-solver cat) f hole
macro
repr-cat! : Term β Term β Term β TC β€
repr-cat! cat f = Reflection.repr-macro cat f
simpl-cat! : Term β Term β Term β TC β€
simpl-cat! cat f = Reflection.simplify-macro cat fmodule _ {o h} (C : Precategory o h) {x y : β C β} {h1 h2 : C .Precategory.Hom x y} where
open Reflection
private
cat-worker : Term β TC β€
cat-worker goal = withReconstructed true $ withNormalisation true $ withReduceDefs (false , dont-reduce) do
`h1 β wait-for-type =<< quoteTC h1
`h2 β quoteTC h2
`C β quoteTC C
unify goal (βsolveβ `C (build-expr `h1) (build-expr `h2))
cat-wrapper : {@(tactic cat-worker) p : h1 β‘ h2} β h1 β‘ h2
cat-wrapper {p = p} = p
macro
cat! : Term β Term β TC β€
cat! c = flip unify (def (quote cat-wrapper) (c vβ· []))Demoπ
As a quick demonstration (and sanity check/future proofing/integration testing/what have you):
module _ (C : Precategory o h) where private
module C = Precategory C
variable
A B : C.Ob
a b c d : C.Hom A B
test : a C.β (b C.β (c C.β C.id) C.β C.id C.β (d C.β C.id))
β‘ a C.β b C.β c C.β d
test = cat! C