X-Git-Url: http://lambda.jimpryor.net/git/gitweb.cgi?p=lambda.git;a=blobdiff_plain;f=manipulating_trees_with_monads.mdwn;h=61d296405e87a62bc2cfa2e071ba8f4353fdd756;hp=81dc451068072c3839e6f9e4bdf2f531011fef51;hb=9efbe94f74c2ea61522fcdb3e3d012fde6034fcd;hpb=787a842deca12cc0a1d2bc14006f000a5eb4c07d diff --git a/manipulating_trees_with_monads.mdwn b/manipulating_trees_with_monads.mdwn index 81dc4510..61d29640 100644 --- a/manipulating_trees_with_monads.mdwn +++ b/manipulating_trees_with_monads.mdwn @@ -81,7 +81,7 @@ supplying the appropriate `int -> int` operation in place of `double`: - : int tree =ppp Node (Node (Leaf 4, Leaf 9), Node (Leaf 25, Node (Leaf 49, Leaf 121))) -Note that what `tree_map` does is take some global, contextual +Note that what `tree_map` does is take some unchanging contextual information---what to do to each leaf---and supplies that information to each subpart of the computation. In other words, `tree_map` has the behavior of a reader monad. Let's make that explicit. @@ -113,9 +113,7 @@ tree` in which each leaf `i` has been replaced with `f i`. With previous readers, we always knew which kind of environment to expect: either an assignment function (the original calculator simulation), a world (the intensionality monad), an integer (the -Jacobson-inspired link monad), etc. In the present case, it will be -enough to expect that our "environment" will be some function of type -`int -> int`. +Jacobson-inspired link monad), etc. In the present case, we expect that our "environment" will be some function of type `int -> int`. "Looking up" some `int` in the environment will return us the `int` that comes out the other side of that function. type 'a reader = (int -> int) -> 'a;; (* mnemonic: e for environment *) let reader_unit (a : 'a) : 'a reader = fun _ -> a;; @@ -141,10 +139,38 @@ But we can do this: reader_unit (Node (x, y))));; This function says: give me a function `f` that knows how to turn -something of type `'a` into an `'b reader`, and I'll show you how to -turn an `'a tree` into an `'b tree reader`. In more fanciful terms, -the `tree_monadize` function builds plumbing that connects all of the -leaves of a tree into one connected monadic network; it threads the +something of type `'a` into an `'b reader`---this is a function of the same type that you could bind an `'a reader` to---and I'll show you how to +turn an `'a tree` into an `'b tree reader`. That is, if you show me how to do this: + + ------------ + 1 ---> | 1 | + ------------ + +then I'll give you back the ability to do this: + + ____________ + . | . | + __|___ ---> | __|___ | + | | | | | | + 1 2 | 1 2 | + ------------ + +And how will that boxed tree behave? Whatever actions you perform on it will be transmitted down to corresponding operations on its leaves. For instance, our `int reader` expects an `int -> int` environment. If supplying environment `e` to our `int reader` doubles the contained `int`: + + ------------ + 1 ---> | 1 | applied to e ~~> 2 + ------------ + +Then we can expect that supplying it to our `int tree reader` will double all the leaves: + + ____________ + . | . | . + __|___ ---> | __|___ | applied to e ~~> __|___ + | | | | | | | | + 1 2 | 1 2 | 2 4 + ------------ + +In more fanciful terms, the `tree_monadize` function builds plumbing that connects all of the leaves of a tree into one connected monadic network; it threads the `'b reader` monad through the original tree's leaves. # tree_monadize int_readerize t1 double;; @@ -161,17 +187,15 @@ result: - : int tree = Node (Node (Leaf 4, Leaf 9), Node (Leaf 25, Node (Leaf 49, Leaf 121))) -Now that we have a tree transformer that accepts a reader monad as a +Now that we have a tree transformer that accepts a *reader* monad as a parameter, we can see what it would take to swap in a different monad. - - -For instance, we can use a state monad to count the number of nodes in +For instance, we can use a state monad to count the number of leaves in the tree. type 'a state = int -> 'a * int;; let state_unit a = fun s -> (a, s);; - let state_bind_and_count u f = fun s -> let (a, s') = u s in f a (s' + 1);; + let state_bind u f = fun s -> let (a, s') = u s in f a s';; Gratifyingly, we can use the `tree_monadize` function without any modification whatsoever, except for replacing the (parametric) type @@ -179,16 +203,16 @@ modification whatsoever, except for replacing the (parametric) type let rec tree_monadize (f : 'a -> 'b state) (t : 'a tree) : 'b tree state = match t with - | Leaf i -> state_bind_and_count (f i) (fun i' -> state_unit (Leaf i')) - | Node (l, r) -> state_bind_and_count (tree_monadize f l) (fun x -> - state_bind_and_count (tree_monadize f r) (fun y -> + | Leaf i -> state_bind (f i) (fun i' -> state_unit (Leaf i')) + | Node (l, r) -> state_bind (tree_monadize f l) (fun x -> + state_bind (tree_monadize f r) (fun y -> state_unit (Node (x, y))));; -Then we can count the number of nodes in the tree: +Then we can count the number of leaves in the tree: - # tree_monadize state_unit t1 0;; + # tree_monadize (fun a -> fun s -> (a, s+1)) t1 0;; - : int tree * int = - (Node (Node (Leaf 2, Leaf 3), Node (Leaf 5, Node (Leaf 7, Leaf 11))), 13) + (Node (Node (Leaf 2, Leaf 3), Node (Leaf 5, Node (Leaf 7, Leaf 11))), 5) . ___|___ @@ -201,17 +225,7 @@ Then we can count the number of nodes in the tree: | | 7 11 -Notice that we've counted each internal node twice---it's a good -exercise to adjust the code to count each node once. - - - +Why does this work? Because the operation `fun a -> fun s -> (a, s+1)` takes an `int` and wraps it in an `int state` monadic box that increments the state. When we give that same operations to our `tree_monadize` function, it then wraps an `int tree` in a box, one that does the same state-incrementing for each of its leaves. One more revealing example before getting down to business: replacing `state` everywhere in `tree_monadize` with `list` gives us @@ -224,10 +238,11 @@ One more revealing example before getting down to business: replacing Unlike the previous cases, instead of turning a tree into a function from some input to a result, this transformer replaces each `int` with -a list of `int`'s. +a list of `int`'s. We might also have done this with a Reader Monad, though then our environments would need to be of type `int -> int list`. Experiment with what happens if you supply the `tree_monadize` based on the List Monad an operation like `fun -> [ i; [2*i; 3*i] ]`. Use small trees for your experiment. + @@ -246,15 +261,14 @@ of leaves? continuation_unit (Node (x, y))));; We use the continuation monad described above, and insert the -`continuation` type in the appropriate place in the `tree_monadize` code. -We then compute: +`continuation` type in the appropriate place in the `tree_monadize` code. Then if we give the `tree_monadize` function an operation that converts `int`s into continuations expecting `'b` arguments, it will give us back a way to turn `int tree`s into continuations that expect `'b tree` arguments. The effect of giving the continuation such an argument will be to distribute across the `'b tree`'s leaves effects that parallel the effects that the `'b`-expecting continuations would have on their `'b`s. - # tree_monadize (fun a k -> a :: (k a)) t1 (fun t -> []);; - - : int list = [2; 3; 5; 7; 11] +So for example, we compute: - + # tree_monadize (fun a -> fun k -> a :: (k a)) t1 (fun t -> []);; + - : int list = [2; 3; 5; 7; 11] -We have found a way of collapsing a tree into a list of its leaves. +We have found a way of collapsing a tree into a list of its leaves. Can you trace how this is working? The continuation monad is amazingly flexible; we can use it to simulate some of the computations performed above. To see how, first @@ -270,19 +284,19 @@ That is, nothing happens. But we can begin to substitute more interesting functions for the first argument of `tree_monadize`: (* Simulating the tree reader: distributing a operation over the leaves *) - # tree_monadize (fun a k -> k (square a)) t1 (fun i -> i);; + # tree_monadize (fun a -> fun k -> k (square a)) t1 (fun i -> i);; - : int tree = Node (Node (Leaf 4, Leaf 9), Node (Leaf 25, Node (Leaf 49, Leaf 121))) (* Simulating the int list tree list *) - # tree_monadize (fun a k -> k [a; square a]) t1 (fun i -> i);; + # tree_monadize (fun a -> fun k -> k [a; square a]) t1 (fun i -> i);; - : int list tree = Node (Node (Leaf [2; 4], Leaf [3; 9]), Node (Leaf [5; 25], Node (Leaf [7; 49], Leaf [11; 121]))) (* Counting leaves *) - # tree_monadize (fun a k -> 1 + k a) t1 (fun i -> 0);; + # tree_monadize (fun a -> fun k -> 1 + k a) t1 (fun i -> 0);; - : int = 5 We could simulate the tree state example too, but it would require @@ -290,6 +304,9 @@ generalizing the type of the continuation monad to type ('a, 'b, 'c) continuation = ('a -> 'b) -> 'c;; +If you want to see how to parameterize the definition of the `tree_monadize` function, so that you don't have to keep rewriting it for each new monad, see [this code](/code/tree_monadize.ml). + + The binary tree monad ---------------------