X-Git-Url: http://lambda.jimpryor.net/git/gitweb.cgi?p=lambda.git;a=blobdiff_plain;f=manipulating_trees_with_monads.mdwn;h=81dc451068072c3839e6f9e4bdf2f531011fef51;hp=d0897efd40ef34360d051c96a349accffb6fdca5;hb=0feebbaaa58403d836d7ea6166cf709dd3faf1a8;hpb=911d868126d0b91047b362cb909cdfeb503cd16b diff --git a/manipulating_trees_with_monads.mdwn b/manipulating_trees_with_monads.mdwn index d0897efd..81dc4510 100644 --- a/manipulating_trees_with_monads.mdwn +++ b/manipulating_trees_with_monads.mdwn @@ -44,18 +44,18 @@ We'll be using trees where the nodes are integers, e.g., Our first task will be to replace each leaf with its double: - let rec treemap (newleaf : 'a -> 'b) (t : 'a tree) : 'b tree = + let rec tree_map (leaf_modifier : 'a -> 'b) (t : 'a tree) : 'b tree = match t with - | Leaf i -> Leaf (newleaf i) - | Node (l, r) -> Node (treemap newleaf l, - treemap newleaf r);; + | Leaf i -> Leaf (leaf_modifier i) + | Node (l, r) -> Node (tree_map leaf_modifier l, + tree_map leaf_modifier r);; -`treemap` takes a function that transforms old leaves into new leaves, +`tree_map` takes a function that transforms old leaves into new leaves, and maps that function over all the leaves in the tree, leaving the structure of the tree unchanged. For instance: let double i = i + i;; - treemap double t1;; + tree_map double t1;; - : int tree = Node (Node (Leaf 4, Leaf 6), Node (Leaf 10, Node (Leaf 14, Leaf 22))) @@ -70,25 +70,25 @@ structure of the tree unchanged. For instance: | | 14 22 -We could have built the doubling operation right into the `treemap` -code. However, because what to do to each leaf is a parameter, we can +We could have built the doubling operation right into the `tree_map` +code. However, because we've left what to do to each leaf as a parameter, we can decide to do something else to the leaves without needing to rewrite -`treemap`. For instance, we can easily square each leaf instead by +`tree_map`. For instance, we can easily square each leaf instead by supplying the appropriate `int -> int` operation in place of `double`: let square i = i * i;; - treemap square t1;; + tree_map square t1;; - : int tree =ppp Node (Node (Leaf 4, Leaf 9), Node (Leaf 25, Node (Leaf 49, Leaf 121))) -Note that what `treemap` does is take some global, contextual +Note that what `tree_map` does is take some global, contextual information---what to do to each leaf---and supplies that information -to each subpart of the computation. In other words, `treemap` has the +to each subpart of the computation. In other words, `tree_map` has the behavior of a reader monad. Let's make that explicit. -In general, we're on a journey of making our treemap function more and +In general, we're on a journey of making our `tree_map` function more and more flexible. So the next step---combining the tree transformer with -a reader monad---is to have the treemap function return a (monadized) +a reader monad---is to have the `tree_map` function return a (monadized) tree that is ready to accept any `int -> int` function and produce the updated tree. @@ -113,54 +113,59 @@ 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 this situation, it will be -enough for now to expect that our reader will expect a function of -type `int -> int`. +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`. type 'a reader = (int -> int) -> 'a;; (* mnemonic: e for environment *) let reader_unit (a : 'a) : 'a reader = fun _ -> a;; let reader_bind (u: 'a reader) (f : 'a -> 'b reader) : 'b reader = fun e -> f (u e) e;; -It's easy to figure out how to turn an `int` into an `int reader`: +It would be a simple matter to turn an *integer* into an `int reader`: - let int2int_reader : 'a -> 'b reader = fun (a : 'a) -> fun (op : 'a -> 'b) -> op a;; - int2int_reader 2 (fun i -> i + i);; + let int_readerize : int -> int reader = fun (a : int) -> fun (modifier : int -> int) -> modifier a;; + int_readerize 2 (fun i -> i + i);; - : int = 4 -But what do we do when the integers are scattered over the leaves of a -tree? A binary tree is not the kind of thing that we can apply a +But how do we do the analagous transformation when our `int`s are scattered over the leaves of a tree? How do we turn an `int tree` into a reader? +A tree is not the kind of thing that we can apply a function of type `int -> int` to. - let rec treemonadizer (f : 'a -> 'b reader) (t : 'a tree) : 'b tree reader = +But we can do this: + + let rec tree_monadize (f : 'a -> 'b reader) (t : 'a tree) : 'b tree reader = match t with | Leaf i -> reader_bind (f i) (fun i' -> reader_unit (Leaf i')) - | Node (l, r) -> reader_bind (treemonadizer f l) (fun x -> - reader_bind (treemonadizer f r) (fun y -> + | Node (l, r) -> reader_bind (tree_monadize f l) (fun x -> + reader_bind (tree_monadize f r) (fun y -> 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 `'a tree reader`. In more fanciful terms, -the `treemonadizer` function builds plumbing that connects all of the +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 -`'b reader` monad through the leaves. +`'b reader` monad through the original tree's leaves. - # treemonadizer int2int_reader t1 (fun i -> i + i);; + # tree_monadize int_readerize t1 double;; - : int tree = Node (Node (Leaf 4, Leaf 6), Node (Leaf 10, Node (Leaf 14, Leaf 22))) Here, our environment is the doubling function (`fun i -> i + i`). If -we apply the very same `int tree reader` (namely, `treemonadizer -int2int_reader t1`) to a different `int -> int` function---say, the +we apply the very same `int tree reader` (namely, `tree_monadize +int_readerize t1`) to a different `int -> int` function---say, the squaring function, `fun i -> i * i`---we get an entirely different result: - # treemonadizer int2int_reader t1 (fun i -> i * i);; + # tree_monadize int_readerize t1 square;; - : 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 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 the tree. @@ -168,20 +173,20 @@ the tree. 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);; -Gratifyingly, we can use the `treemonadizer` function without any +Gratifyingly, we can use the `tree_monadize` function without any modification whatsoever, except for replacing the (parametric) type `'b reader` with `'b state`, and substituting in the appropriate unit and bind: - let rec treemonadizer (f : 'a -> 'b state) (t : 'a tree) : 'b tree state = + 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 (treemonadizer f l) (fun x -> - state_bind_and_count (treemonadizer f r) (fun y -> + | Node (l, r) -> state_bind_and_count (tree_monadize f l) (fun x -> + state_bind_and_count (tree_monadize f r) (fun y -> state_unit (Node (x, y))));; Then we can count the number of nodes in the tree: - # treemonadizer state_unit t1 0;; + # tree_monadize state_unit t1 0;; - : int tree * int = (Node (Node (Leaf 2, Leaf 3), Node (Leaf 5, Node (Leaf 7, Leaf 11))), 13) @@ -209,9 +214,9 @@ But I assume Chris means here, adjust the code so that no corrections of this so One more revealing example before getting down to business: replacing -`state` everywhere in `treemonadizer` with `list` gives us +`state` everywhere in `tree_monadize` with `list` gives us - # treemonadizer (fun i -> [ [i; square i] ]) t1;; + # tree_monadize (fun i -> [ [i; square i] ]) t1;; - : int list tree list = [Node (Node (Leaf [2; 4], Leaf [3; 9]), @@ -233,49 +238,51 @@ of leaves? let continuation_unit a = fun k -> k a;; let continuation_bind u f = fun k -> u (fun a -> f a k);; - let rec treemonadizer (f : 'a -> ('b, 'r) continuation) (t : 'a tree) : ('b tree, 'r) continuation = + let rec tree_monadize (f : 'a -> ('b, 'r) continuation) (t : 'a tree) : ('b tree, 'r) continuation = match t with | Leaf i -> continuation_bind (f i) (fun i' -> continuation_unit (Leaf i')) - | Node (l, r) -> continuation_bind (treemonadizer f l) (fun x -> - continuation_bind (treemonadizer f r) (fun y -> + | Node (l, r) -> continuation_bind (tree_monadize f l) (fun x -> + continuation_bind (tree_monadize f r) (fun y -> continuation_unit (Node (x, y))));; We use the continuation monad described above, and insert the -`continuation` type in the appropriate place in the `treemonadizer` code. +`continuation` type in the appropriate place in the `tree_monadize` code. We then compute: - # treemonadizer (fun a k -> a :: (k a)) t1 (fun t -> []);; + # tree_monadize (fun a 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. The continuation monad is amazingly flexible; we can use it to simulate some of the computations performed above. To see how, first -note that an interestingly uninteresting thing happens if we use the -continuation unit as our first argument to `treemonadizer`, and then +note that an interestingly uninteresting thing happens if we use +`continuation_unit` as our first argument to `tree_monadize`, and then apply the result to the identity function: - # treemonadizer continuation_unit t1 (fun i -> i);; + # tree_monadize continuation_unit t1 (fun i -> i);; - : int tree = Node (Node (Leaf 2, Leaf 3), Node (Leaf 5, Node (Leaf 7, Leaf 11))) That is, nothing happens. But we can begin to substitute more -interesting functions for the first argument of `treemonadizer`: +interesting functions for the first argument of `tree_monadize`: (* Simulating the tree reader: distributing a operation over the leaves *) - # treemonadizer (fun a k -> k (square a)) t1 (fun i -> i);; + # tree_monadize (fun a 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 *) - # treemonadizer (fun a k -> k [a; square a]) t1 (fun i -> i);; + # tree_monadize (fun a 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 *) - # treemonadizer (fun a k -> 1 + k a) t1 (fun i -> 0);; + # tree_monadize (fun a k -> 1 + k a) t1 (fun i -> 0);; - : int = 5 We could simulate the tree state example too, but it would require @@ -332,7 +339,7 @@ falls out once we realize that As for the associative law, - Associativity: bind (bind u f) g = bind u (\a. bind (fa) g) + Associativity: bind (bind u f) g = bind u (\a. bind (f a) g) we'll give an example that will show how an inductive proof would proceed. Let `f a = Node (Leaf a, Leaf a)`. Then