The following type extension
module Dict =
open System.Collections.Generic
type Dictionary<'K, 'V> with
member this.Difference(that:Dictionary<'K, 'T>) =
let dict = Dictionary()
for KeyValue(k, v) in this do
if not (that.ContainsKey(k)) then
dict.Add(k, v)
dict
gives the error:
The signature and implementation are not compatible because the declaration of the type parameter 'TKey' requires a constraint of the form 'TKey : equality
But when I add the constraint it gives the error:
The declared type parameters for this type extension do not match the declared type parameters on the original type 'Dictionary<,>'
This is especially mysterious because the following type extension doesn't have the constraint and works.
type Dictionary<'K, 'V> with
member this.TryGet(key) =
match this.TryGetValue(key) with
| true, v -> Some v
| _ -> None
Now I'm having weird thoughts: is the constraint required only when certain members are accessed?
module Dict =
open System.Collections.Generic
type Dictionary<'K, 'V> with
member this.Difference(that:Dictionary<'K, 'T>) =
let dict = Dictionary(this.Comparer)
for KeyValue(k, v) in this do
if not (that.ContainsKey(k)) then
dict.Add(k, v)
dict
EDIT:
As per F# spec (14.11 Additional Constraints on CLI Methods)
Some specific CLI methods and types are treated specially by F#, because they are common in F# programming and cause extremely difficult-to-find bugs. For each use of the following constructs, the F# compiler imposes additional ad hoc constraints:
x.Equals(yobj) requires type ty : equality for the static type of x
x.GetHashCode() requires type ty : equality for the static type of x
new Dictionary<A,B>() requires A : equality, for any overload that does not take an IEqualityComparer<T>
as far as I can see the following code does the trick:
module Dict =
open System.Collections.Generic
type Dictionary<'K, 'V> with
member this.Difference(that: Dictionary<'K,'V2>) =
let diff =
this
|> Seq.filter (fun x -> not <| that.ContainsKey(x.Key))
|> Seq.map (fun x -> x.Key, x.Value)
System.Linq.Enumerable.ToDictionary(diff, fst, snd)
The problem is your use of the Add method. If you use this method of Dictionary<TKey, TValue> then F# will enforce that TKey has the equality constraint.
After playing around a bit I'm not sure that it's even possible to write this extension method. The F# type system appears to force the declaration type of the extension method to have no additional constraints than the original type (i get an error whenever I add the equality constraint). Additionally the type listed in the individal extension methods cannot differ than the listed type. I've tried a number of ways and can't get this to function correctly.
The closest I've come is the non-extension method as follows
let Difference (this : Dictionary<'K, 'T>) (that:Dictionary<'K, 'T> when 'K : equality) =
let dict = Dictionary()
for KeyValue(k, v) in this do
if not (that.ContainsKey(k)) then
dict.Add(k, v)
dict
Perhaps another F# ninja will be able to prove me wrong
(EDIT: CKoenig has a nice answer.)
Hm, I didn't immediately see a way to do this either.
Here's a non-type-safe solution that might provide some crazy inspiration for others.
open System.Collections.Generic
module Dict =
type Dictionary<'K, 'V> with
member this.Difference<'K2, 'T when 'K2 : equality>(that:Dictionary<'K2, 'T>) =
let dict = Dictionary<'K2,'V>()
for KeyValue(k, v) in this do
if not (that.ContainsKey(k |> box |> unbox)) then
dict.Add(k |> box |> unbox, v)
dict
open Dict
let d1 = Dictionary()
d1.Add(1, "foo")
d1.Add(2, "bar")
let d2 = Dictionary()
d2.Add(1, "cheese")
let show (d:Dictionary<_,_>) =
for (KeyValue(k,v)) in d do
printfn "%A: %A" k v
d1.Difference(d2) |> show
let d3 = Dictionary()
d3.Add(1, 42)
d1.Difference(d3) |> show
let d4 = Dictionary()
d4.Add("uh-oh", 42)
d1.Difference(d4) |> show // blows up at runtime
Overall it seems like there may be no way to unify the types K and K2 without also forcing them to have the same equality constraint though...
(EDIT: seems like calling into .NET which is equality-constraint-agnostic is a good way to create a dictionary in the absence of the extra constraint.)
Related
How can I create a function called getFuncName that takes a function of type (unit -> 'a) and returns its name.
I was talking to one of the C# devs and they said you could use the .Method property on a Func type as shown in an example here.
I tried to convert this to F# :
for example convert (unit -> 'a) to a type Func<_> then call the property on it but it always returns the string "Invoke".
let getFuncName f =
let fFunc = System.Func<_>(fun _ -> f())
fFunc.Method.Name
let customFunc() = 1.0
// Returns "Invoke" but I want it to return "customFunc"
getFuncName customFunc
A bit of background to this problem is:
I have created an array of functions of type (unit -> Deedle.Frame). I now want to cycle through those functions invoking them and saving them to csv with the csv name having the same name as the function. Some hypothetical code is below:
let generators : (unit -> Frame<int, string>) array = ...
generators
|> Array.iter (fun generator -> generator().SaveCsv(sprintf "%s\%s.csv" __SOURCE_DIRECTORY__ (getFuncName generator)))
This is being used in a scripting sense rather than as application code.
Not sure how you searched for information, but the first query to the search engine gave me this response:
let getFuncName f =
let type' = f.GetType()
let method' = type'.GetMethods() |> Array.find (fun m -> m.Name="Invoke")
let il = method'.GetMethodBody().GetILAsByteArray()
let methodCodes = [byte OpCodes.Call.Value;byte OpCodes.Callvirt.Value]
let position = il |> Array.findIndex(fun x -> methodCodes |> List.exists ((=)x))
let metadataToken = BitConverter.ToInt32(il, position+1)
let actualMethod = type'.Module.ResolveMethod metadataToken
actualMethod.Name
Unfortunately, this code only works when F# compiler does not inline function body into calling method.
Taken from here
Although there may be a more simple way.
I understand in OCaml there are concepts of interfaces and module.
And I understand how to use them now.
However, what I don't understand is how to fully utilise them.
For example, in Java, let's say we have a interface Map and we also have Hashtable and HashMap that implement Map.
In code, I can do like:
Map m = new Hashtable();
m.put("key", value);
Someday, if I change my mind, I can change to Hashmap very quickly by changing Map m = new Hashtable(); to Map m = new HashMap();, right?
But how can I easily do that in Ocaml?
For example, I have MapSig and 'HashMap:MapSigand "Hashtable:MapSig in OCaml.
How can I change the implementation easily?
I don't think I can because in OCaml I have to do like:
let m = Hashtable.create ();;
Hashtable.put m key value;;
if I want to use HashMap instead, I have to replace every Hashtable with HashMap in the code, right?
Edit:
I am not only seeking a way to make a alias to modules. I also consider the validity of implementations, i.e., whether the implementation follow the desired interface.
For example, in above Java example, only if HashMap has implemented Map interface, I can replace Hashtable with HashMap. otherwise, Java compiler will complain.
but if I do module M = Hashtable in OCaml, and if HashMap does not follow MapSig and I replace Hashtable with HashMap, what will happen? I think compiler won't complain, right?
Here's an example that shows what I think you're asking for:
# module type HASH = sig type t val hash : t -> int end ;;
module type HASH = sig type t val hash : t -> int end
# module I = struct type t = int let hash i = i end ;;
module I : sig type t = int val hash : 'a -> 'a end
# module J = struct type t = int end ;;
module J : sig type t = int end
# module M : HASH = I ;;
module M : HASH
# module N : HASH = J ;;
Error: Signature mismatch:
Modules do not match: sig type t = int end is not included in HASH
The field `hash' is required but not provided
The extra ": HASH" specifies that the module must match the HASH signature (and it also restricts it to that signature).
Just as a side comment, I believe the OCaml module system is world famous for its expressivity (at least in module system circles). I'm still a beginner at it, but it is worth studying.
Since 3.12.1 OCaml allows this syntax for opening and aliasing modules:
let foo .... =
let module HashTable = HashMap in (* magic is here *)
let h = HashTable.create () in
....
So u just need to rename module what you are using where you are using it.
The most direct correspondence between your Java example and OCaml is using a functor (what OCaml calls a static function from a module to a module). So suppose you have the following implemented in OCaml:
module type Map = sig
(* For simplicity assume any key and value type is allowed *)
type ('k, 'v) t
val make : unit -> ('k, 'v) t
val put : ('k, 'v) t -> ~key:'k -> ~value:'v -> unit
end
module Hashtable : Map = struct ... end
module HashMap : Map = struct ... end
Then you would write a functor like this:
module MyFunctor(Map : Map) = struct
let my_map =
let map = Map.make () in
Map.put map ~key ~value;
map
end
Then you would instantiate a module using the functor:
module MyModule = MyFunctor(Hashtable)
And voila, changing the implementation is a one-line diff because both the module implementations conform to the Map signature:
module MyModule = MyFunctor(HashMap)
I have made a functor for format-able sets, as follows:
module type POrderedType =
sig
type t
val compare : t -> t -> int
val format : Format.formatter -> t -> unit
end
module type SET =
sig
include Set.S
val format : Format.formatter -> t -> unit
end
module MakeSet (P : POrderedType) : SET with type elt = P.t
Implementation of this is straightforward:
module MakeSet (P : OrderedType) =
struct
include Set.Make(P)
let format ff s =
let rec format' ff = function
| [] -> ()
| [v] -> Format.fprintf ff "%a" format v
| v::tl -> Format.fprintf ff "%a,# %a" format v format' tl in
Format.fprintf ff "#[<4>%a#]" format' (elements s)
end
I wanted to do something similar with maps. POrderedType is fine for keys, but I need a simpler type for values:
module type Printable =
sig
type t
val format : Format.formatter -> t -> unit
end
Then I wanted to do something similar to what I had done for sets, but I run into the following problem. Map.S values have type +'a t. I can't figure out a way to include the Map.S definition while constraining the 'a to be a Printable.t. What I want is something like the following (ignoring the fact that it is illegal):
module MakeMap (Pkey : POrderedType) (Pval : Printable) :
MAP with type key = Pkey.t and type 'a t = 'a t constraint 'a = Pval.t
Is there any way to do what I want without copying the entire signature of Map by hand?
I think the cleanest way to propose a printing function for polymorphic maps is to make the map printing function parametric over the values printing function. You can think of it this way:
functor-defined types are defined at the functor level, so providing functions for them is best done by adding new functor parameters (or enriching existing ones)
parametric types are bound (generalized) at the value level, so providing functions for them is best done by adding new parameters to the value
In OCaml, convenience tend to make people favor parametric polymorphism over functorization when possible. Functorization is sometimes necessary to enforce some type safety (here it's used to make sure that maps over different comparison functions have incompatible types), but otherwise people rather try to have polymorphism. So you're actually in the lucky situation here.
If you really want to have a functor producing monomorphic maps, well, I'm afraid you will have to copy the whole map interface and adapt it in the momonorphic case -- it's not much work.
Does "Value Restriction" practically mean that there is no higher order functional programming?
I have a problem that each time I try to do a bit of HOP I get caught by a VR error. Example:
let simple (s:string)= fun rq->1
let oops= simple ""
type 'a SimpleType= F of (int ->'a-> 'a)
let get a = F(fun req -> id)
let oops2= get ""
and I would like to know whether it is a problem of a prticular implementation of VR or it is a general problem that has no solution in a mutable type-infered language that doesn't include mutation in the type system.
Does “Value Restriction” mean that there is no higher order functional programming?
Absolutely not! The value restriction barely interferes with higher-order functional programming at all. What it does do is restrict some applications of polymorphic functions—not higher-order functions—at top level.
Let's look at your example.
Your problem is that oops and oops2 are both the identity function and have type forall 'a . 'a -> 'a. In other words each is a polymorphic value. But the right-hand side is not a so-called "syntactic value"; it is a function application. (A function application is not allowed to return a polymorphic value because if it were, you could construct a hacky function using mutable references and lists that would subvert the type system; that is, you could write a terminating function type type forall 'a 'b . 'a -> 'b.
Luckily in almost all practical cases, the polymorphic value in question is a function, and you can define it by eta-expanding:
let oops x = simple "" x
This idiom looks like it has some run-time cost, but depending on the inliner and optimizer, that can be got rid of by the compiler—it's just the poor typechecker that is having trouble.
The oops2 example is more troublesome because you have to pack and unpack the value constructor:
let oops2 = F(fun x -> let F f = get "" in f x)
This is quite a but more tedious, but the anonymous function fun x -> ... is a syntactic value, and F is a datatype constructor, and a constructor applied to a syntactic value is also a syntactic value, and Bob's your uncle. The packing and unpacking of F is all going to be compiled into the identity function, so oops2 is going to compile into exactly the same machine code as oops.
Things are even nastier when you want a run-time computation to return a polymorphic value like None or []. As hinted at by Nathan Sanders, you can run afoul of the value restriction with an expression as simple as rev []:
Standard ML of New Jersey v110.67 [built: Sun Oct 19 17:18:14 2008]
- val l = rev [];
stdIn:1.5-1.15 Warning: type vars not generalized because of
value restriction are instantiated to dummy types (X1,X2,...)
val l = [] : ?.X1 list
-
Nothing higher-order there! And yet the value restriction applies.
In practice the value restriction presents no barrier to the definition and use of higher-order functions; you just eta-expand.
I didn't know the details of the value restriction, so I searched and found this article. Here is the relevant part:
Obviously, we aren't going to write the expression rev [] in a program, so it doesn't particularly matter that it isn't polymorphic. But what if we create a function using a function call? With curried functions, we do this all the time:
- val revlists = map rev;
Here revlists should be polymorphic, but the value restriction messes us up:
- val revlists = map rev;
stdIn:32.1-32.23 Warning: type vars not generalized because of
value restriction are instantiated to dummy types (X1,X2,...)
val revlists = fn : ?.X1 list list -> ?.X1 list list
Fortunately, there is a simple trick that we can use to make revlists polymorphic. We can replace the definition of revlists with
- val revlists = (fn xs => map rev xs);
val revlists = fn : 'a list list -> 'a list list
and now everything works just fine, since (fn xs => map rev xs) is a syntactic value.
(Equivalently, we could have used the more common fun syntax:
- fun revlists xs = map rev xs;
val revlists = fn : 'a list list -> 'a list list
with the same result.) In the literature, the trick of replacing a function-valued expression e with (fn x => e x) is known as eta expansion. It has been found empirically that eta expansion usually suffices for dealing with the value restriction.
To summarise, it doesn't look like higher-order programming is restricted so much as point-free programming. This might explain some of the trouble I have when translating Haskell code to F#.
Edit: Specifically, here's how to fix your first example:
let simple (s:string)= fun rq->1
let oops= (fun x -> simple "" x) (* eta-expand oops *)
type 'a SimpleType= F of (int ->'a-> 'a)
let get a = F(fun req -> id)
let oops2= get ""
I haven't figured out the second one yet because the type constructor is getting in the way.
Here is the answer to this question in the context of F#.
To summarize, in F# passing a type argument to a generic (=polymorphic) function is a run-time operation, so it is actually type-safe to generalize (as in, you will not crash at runtime). The behaviour of thusly generalized value can be surprising though.
For this particular example in F#, one can recover generalization with a type annotation and an explicit type parameter:
type 'a SimpleType= F of (int ->'a-> 'a)
let get a = F(fun req -> id)
let oops2<'T> : 'T SimpleType = get ""
How to get 'System.Type' of the module?
For example module:
module Foo =
let bar = 1
And this does not work:
printfn "%s" typeof<Foo>.Name
Error is:
The type 'Foo' is not defined
You could add a marker type to the module and then discover the module's type from that:
module Foo =
type internal Marker = interface end
let t = typeof<Marker>.DeclaringType
It would certainly be nice to have a moduleof operator... Since there's not one, the easiest way to do what you want is probably to use the Metadata library in the F# PowerPack:
#r "FSharp.PowerPack.Metadata.dll"
open Microsoft.FSharp.Metadata
// get .NET assembly by filename or other means
let asm = ...
let fasm = FSharpAssembly.FromAssembly asm
let t = fasm.GetEntity("Foo").ReflectionType
Unfortunately, this won't work with dynamic assemblies (such as those generated via F# Interactive). You can do something similar using vanilla System.Reflection calls, but that's more dependent on having a good understanding of the compiled form that your module takes.
It can also be done using Quotations. First, define this helper function somewhere:
open Microsoft.FSharp.Quotations.Patterns
let getModuleType = function
| PropertyGet (_, propertyInfo, _) -> propertyInfo.DeclaringType
| _ -> failwith "Expression is no property."
Then, you can define a module and get its type like this:
module SomeName =
let rec private moduleType = getModuleType <# moduleType #>
Hope this helps.
module name is not a type.
List in List.map and let (a:List<int>) = [1;2;3] are different.
The first List is a module name, the second is a type.