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- trixie 5.3.0-3
- testing 5.3.0-3
- unstable 5.3.0-3
- experimental 5.4.0-1~exp1
Stdlib.Fun(3o) | OCaml library | Stdlib.Fun(3o) |
NAME¶
Stdlib.Fun - no description
Module¶
Module Stdlib.Fun
Documentation¶
Module Fun
: (module Stdlib__Fun)
Combinators¶
val id : 'a -> 'a
id is the identity function. For any argument x , id x is x .
val const : 'a -> 'b -> 'a
const c is a function that always returns the value c . For any argument x , (const c) x is c .
val compose : ('b -> 'c) -> ('a -> 'b) -> 'a -> 'c
compose f g is a function composition of applying g then f . For any arguments f , g , and x , compose f g x is f (g x) .
Since 5.2
val flip : ('a -> 'b -> 'c) -> 'b -> 'a -> 'c
flip f reverses the argument order of the binary function f . For any arguments x and y , (flip f) x y is f y x .
val negate : ('a -> bool) -> 'a -> bool
negate p is the negation of the predicate function p . For any argument x , (negate p) x is not (p x) .
Exception handling¶
val protect : finally:(unit -> unit) -> (unit -> 'a) -> 'a
protect ~finally work invokes work () and then finally () before work () returns with its value or an exception. In the latter case the exception is re-raised after finally () . If finally () raises an exception, then the exception Fun.Finally_raised is raised instead.
protect can be used to enforce local invariants whether work () returns normally or raises an exception. However, it does not protect against unexpected exceptions raised inside finally () such as Out_of_memory , Stack_overflow , or asynchronous exceptions raised by signal handlers (e.g. Sys.Break ).
Note: It is a programming error if other kinds of exceptions are raised by finally , as any exception raised in work () will be lost in the event of a Fun.Finally_raised exception. Therefore, one should make sure to handle those inside the finally.
exception Finally_raised of exn
Finally_raised exn is raised by protect ~finally work when finally raises an exception exn . This exception denotes either an unexpected exception or a programming error. As a general rule, one should not catch a Finally_raised exception except as part of a catch-all handler.
Examples¶
Combinators¶
Fun.combinators provide a lightweight and sometimes more readable way to create anonymous functions, best used as short-lived arguments rather than standalone definitions. The examples below will demonstrate this mainly with the List module.
[id]¶
List.init with the index itself
# List.init 3 Fun.id;;
- : int list = [0; 1; 2]
Using List.filter_map on an int option list to filter out Option.t.None elements
# List.filter_map Fun.id [None; Some 2; Some 3; None; Some 5];;
- : int list = [2; 3; 5]
Conditionally dispatching functions of type foo -> foo or taking them as arguments is another place where id may be useful. Consider a primitive logging function which prints a string but gives its user the option to preformat the string before printing, e.g. to insert a time-stamp
let log ?(preformat : string -> string = Fun.id) message =
print_endline (preformat message)
Whenever we may build up closures, id is often used for the base-case as a no-op. Consider a function which chains a list of unary functions:
let rec chain = function
| [] -> Fun.id
| f :: fs -> fun x -> f (chain fs x)
[const]¶
List.init a list of zeros
# List.init 3 (Fun.const 0);;
- : int list = [0; 0; 0]
An allow-all predicate that could be passed to any filtering function e.g. List.filter to disable filtration and get back all values
# List.filter (Fun.const true) [1; 2; 3];;
- : int list = [1; 2; 3]
Note that applying const (...) evaluates the expression (...) once, and returns a function that only has the result of this evaluation. To demonstrate this, consider if (...) was a call to Random.bool () :
List.init n (Fun.const (Random.bool())) for any n > 0 will have exactly two possible outcomes,
- [true; true; ...; true]
- [false; false; ...; false]
whereas List.init n (fun _ -> Random.bool()) will have 2^n possible outcomes, because the randomness effect is performed with every element.
For more real-world uses, consider String.spellcheck with a constant max distance of 2, instead of the default variable max distance
let spellcheck known_words word =
let dict_iter yield = List.iter yield known_words in
String.spellcheck ~max_dist:(Fun.const 2) dict_iter word
[flip]¶
Useing flip to reverse the comparator passed to List.sort , which sorts in the opposite order
# List.sort (Fun.flip Int.compare) [5; 3; 9; 0; 1; 6; 8];;
- : int list = [9; 8; 6; 5; 3; 1; 0]
Reversing a list by accumulating a new list using List.fold_left , which expects the accumulator to be the first argument of the function passed to it. We pass List.cons which has the list as the second argument, so flip is useful here
# List.fold_left (Fun.flip List.cons) [] [1; 2; 3];;
- : int list = [3; 2; 1]
Interestingly, flip can work with functions that aren't binary, by flipping the first two arguments and leaving the rest in order. This is because a function that takes n+2 arguments is, conceptually, a binary function which returns a function that takes n arguments. Given a function f : a -> b -> c -> d :
- flip f will have type b -> a -> c -> d
- fun x -> flip (f x) will have type a -> c -> b -> d
Using flip with non-binary functions like this is discouraged, for its negative impact on readability and reasoning.
[negate]¶
Mainly used for reversing a predicate in a function which expects one, like List.find_all and similar functions
Finding all lists which are not empty using List.is_empty
# List.find_all (Fun.negate List.is_empty) [[0]; [1; 2; 3]; []; [4; 5]];;
- : int list list = [[0]; [1; 2; 3]; [4; 5]]
From a given list of paths, finding all paths which are not occupied using Sys.file_exists
# List.find_all (Fun.negate Sys.file_exists);;
- : string list -> string list = <fun>
[compose]¶
List.map on pair elements with a function on the second element
# List.map (Fun.compose String.length snd) [1, "one"; 2, "two"; 3, "three"];;
- : int list = [3; 3; 5]
A potential implementation of Fun.negate
let negate f = Fun.compose not f
From the Fun.hid , compose could have been used in the recursive branch
Or even more concisely
let rec chain = function
| [] -> Fun.id
| f :: fs -> Fun.compose f (chain fs)
let chain fs = List.fold_right Fun.compose fs Fun.id
From the Fun.hflip , compose and flip could be used to condense the function definition so it becomes
# Fun.compose
(String.spellcheck ~max_dist:(Fun.const 2))
(Fun.flip List.iter)
;;
- : string list -> string -> string list = <fun>
As can be seen here, this heavily impacts readability and the ability to reason about the function. Both String.spellcheck and Fun.flip are not unary, so there is a non-trivial interaction with partial-application in this definition.
Heavy use of these combinators in OCaml is generally discouraged, not only because they can quickly impact readability and reasoning, but also because the produced functions are often in value form, thus subject to the Value Restriction (see the manual section 6.1.2).
2025-10-12 | OCamldoc |