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Agda-2.3.2.2: examples/SummerSchool07/Lecture/Families.agda

{-

          Types Summer School 2007

                 Bertinoro
             Aug 19 - 31, 2007


                   Agda

                Ulf Norell

-}

-- Now we're getting somewhere! Inductive families of datatypes.

module Families where

-- You can import modules defined in other files.
-- More details later...
-- open import Nat

data Nat : Set where
  zero : Nat
  suc  : Nat -> Nat

_+_ : Nat -> Nat -> Nat
zero + m = m
suc n + m = suc (n + m)

-- Think of an inductive family...

data Vec (A : Set) : Nat -> Set where
  []   : Vec A zero
  _::_ : {n : Nat} -> A -> Vec A n -> Vec A (suc n)

infixr 40 _::_

-- Some simple functions
head : {A : Set}{n : Nat} -> Vec A (suc n) -> A
head (x :: _) = x  -- no need for a [] case

-- Does the definition look familiar?
map : {A B : Set}{n : Nat} -> (A -> B) -> Vec A n -> Vec B n
map f []        = []
map f (x :: xs) = f x :: map f xs

infixr 40 _++_

_++_ : {A : Set}{n m : Nat} -> Vec A n -> Vec A m -> Vec A (n + m)
[]        ++ ys = ys
(x :: xs) ++ ys = x :: (xs ++ ys)

-- Why does this type check? Let's walk through it slowly.
-- When pattern matching on the first vector, n is instantiated.

-- What happens if we make the lengths explicit?

cat : {A : Set}(n m : Nat) -> Vec A n -> Vec A m -> Vec A (n + m)
cat .zero    m []              ys = ys
cat .(suc n) m (_::_ {n} x xs) ys = x :: (cat n m xs ys)

-- Patterns which get instantiated by pattern matching on other stuff
-- get tagged by a dot. If you erase all the dotted things you get a
-- well-formed linear first-order pattern.

-- Inside the dot we could have arbitrary terms. For instance,

data Image_∋_ {A B : Set}(f : A -> B) : B -> Set where
  im : (x : A) -> Image f ∋ f x

inv : {A B : Set}(f : A -> B)(y : B) -> Image f ∋ y -> A
inv f .(f x) (im x) = x

-- Let's do some other interesting families.

-- The identity type.
data _==_ {A : Set} : A -> A -> Set where
  refl : (x : A) -> x == x

subst : {A : Set}(C : A -> Set)(x y : A) -> x == y -> C x -> C y
subst C .x .x (refl x) cx = cx

-- Finite sets

{-

Fin zero        -
Fin (suc zero)  fzero
Fin 2           fzero, fsuc fzero

-}

data Fin : Nat -> Set where
  fzero : {n : Nat} -> Fin (suc n)
  fsuc  : {n : Nat} -> Fin n -> Fin (suc n)

_!_ : {A : Set}{n : Nat} -> Vec A n -> Fin n -> A
[]        ! ()
(x :: xs) ! fzero  = x
(x :: xs) ! fsuc i = xs ! i

{-

  What's next?

-}

-- Actually, inductive families are sufficiently fun that
-- you'll never get bored, but there's even more fun to be had.

-- Move on to: Filter.agda