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# Apply a callback to an array

Apply a callback to an array
You are encouraged to solve this task according to the task description, using any language you may know.

Take a combined set of elements and apply a function to each element.

## 11l

Translation of: Kotlin
V array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]V arrsq = array.map(i -> i * i)print(arrsq)
Output:
[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]

## 6502 Assembly

For this example, assume both the source array and the destination have a size of 86 elements (memory offsets base+0x00 to base+0x55.) This was implemented in easy6502.

define SRC_LO  $00define SRC_HI$01 define DEST_LO $02define DEST_HI$03 define temp $04 ;temp storage used by foo ;some prep work since easy6502 doesn't allow you to define arbitrary bytes before runtime. SET_TABLE:TXASTA$1000,XINXBNE SET_TABLE	;stores the identity table at memory address $1000-$10FF CLEAR_TABLE:LDA #0STA $1200,XINXBNE CLEAR_TABLE;fills the range$1200-$12FF with zeroes. LDA #$10STA SRC_HILDA #$00STA SRC_LO;store memory address$1000 in zero page LDA #$12STA DEST_HILDA #$00STA DEST_LO;store memory address $1200 in zero page loop:LDA (SRC_LO),y ;load accumulator from memory address$1000+yJSR foo		;multiplies accumulator by 3.STA (DEST_LO),y ;store accumulator in memory address $1200+y INYCPY #$56 ;alternatively you can store a size variable and check that here instead.BCC loopBRK foo:STA tempASL		;double accumulatorCLCADC temp	;2a + a = 3aRTS
Output:
1200: 00 03 06 09 0c 0f 12 15 18 1b 1e 21 24 27 2a 2d
1210: 30 33 36 39 3c 3f 42 45 48 4b 4e 51 54 57 5a 5d
1220: 60 63 66 69 6c 6f 72 75 78 7b 7e 81 84 87 8a 8d
1230: 90 93 96 99 9c 9f a2 a5 a8 ab ae b1 b4 b7 ba bd
1240: c0 c3 c6 c9 cc cf d2 d5 d8 db de e1 e4 e7 ea ed
1250: f0 f3 f6 f9 fc ff


## 8th

The builtin word "a:map" does this:

 [ 1 , 2, 3 ]' n:sqra:map

That results in the array [1,4,9]

## ACL2

ACL2 does not have first-class functions; this is close, however:

(defun apply-to-each (xs)   (if (endp xs)       nil       (cons (fn-to-apply (first xs))             (sq-each (rest xs))))) (defun fn-to-apply (x)   (* x x))

## ActionScript

package{    public class ArrayCallback    {        public function main():void        {            var nums:Array = new Array(1, 2, 3);            nums.map(function(n:Number, index:int, arr:Array):void { trace(n * n * n); });             // You can also pass a function reference            nums.map(cube);        }         private function cube(n:Number, index:int, arr:Array):void        {            trace(n * n * n);        }    }}

Works with: GNAT version GPL 2005
with Ada.Text_Io; with Ada.Integer_text_IO;  procedure Call_Back_Example is    -- Purpose: Apply a callback to an array    -- Output: Prints the squares of an integer array to the console     -- Define the callback procedure    procedure Display(Location : Positive; Value : Integer) is    begin       Ada.Text_Io.Put("array(");       Ada.Integer_Text_Io.Put(Item => Location, Width => 1);       Ada.Text_Io.Put(") = ");       Ada.Integer_Text_Io.Put(Item => Value * Value, Width => 1);       Ada.Text_Io.New_Line;    end Display;     -- Define an access type matching the signature of the callback procedure    type Call_Back_Access is access procedure(L : Positive; V : Integer);     -- Define an unconstrained array type    type Value_Array is array(Positive range <>) of Integer;     -- Define the procedure performing the callback    procedure Map(Values : Value_Array; Worker : Call_Back_Access) is    begin       for I in Values'range loop          Worker(I, Values(I));       end loop;    end Map;     -- Define and initialize the actual array    Sample : Value_Array := (5,4,3,2,1);  begin    Map(Sample, Display'access);    end Call_Back_Example;

## Aime

voidmap(list l, void (*fp)(object)){    l.ucall(fp, 0);} voidout(object o){    o_(o, "\n");} integermain(void){    list(0, 1, 2, 3).map(out);     return 0;}

## ALGOL 68

Works with: ALGOL 68 version Revision 1 - no extensions to language used
Works with: ALGOL 68G version Any - tested with release 1.18.0-9h.tiny
 PROC call back proc = (INT location, INT value)VOID: (   printf(($"array["g"] = "gl$, location, value)) );  PROC map = (REF[]INT array, PROC (INT,INT)VOID call back)VOID: (   FOR i FROM LWB array TO UPB array DO      call back(i, array[i])   OD );  main: (   [4]INT array := ( 1, 4, 9, 16 );   map(array, call back proc) )
Output:
array[         +1] =          +1
array[         +2] =          +4
array[         +3] =          +9
array[         +4] =         +16


## ALGOL W

begin    procedure printSquare ( integer value x ) ; writeon( i_w := 1, s_w := 0, " ", x * x );    % applys f to each element of a from lb to ub (inclusive) %    procedure applyI ( procedure f; integer array a ( * ); integer value lb, ub ) ;        for i := lb until ub do f( a( i ) );    % test applyI %    begin        integer array a ( 1 :: 3 );        a( 1 ) := 1; a( 2 ) := 2; a( 3 ) := 3;        applyI( printSquare, a, 1, 3 )    endend.

## APL

By default functions in APL work on arrays as it is an array oriented language. Some examples:

    - 1 2 3¯1 ¯2 ¯3    2 * 1 2 3 42 4 8 16    2 × ⍳42 4 6 8    3 * 3 3 ⍴ ⍳9   3    9    27  81  243   7292187 6561 19683

## AppleScript

on callback for arg    -- Returns a string like "arc has 3 letters"    arg & " has " & (count arg) & " letters"end callback set alist to {"arc", "be", "circle"}repeat with aref in alist    -- Passes a reference to some item in alist    -- to callback, then speaks the return value.    say (callback for aref)end repeat

If the callback would set arg's contents to "something", then alist would be mutated.

For a more general implementation of map(function, list), foldl(function, startValue, list), and filter(predicate, list), we could write:

on run     set xs to {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}     {map(square, xs), ¬        filter(even, xs), ¬        foldl(add, 0, xs)}     --> {{1, 4, 9, 16, 25, 36, 49, 64, 81, 100}, {2, 4, 6, 8, 10}, 55}   end run -- square :: Num -> Num -> Numon square(x)    x * xend square -- add :: Num -> Num -> Numon add(a, b)    a + bend add -- even :: Int -> Boolon even(x)    0 = x mod 2end even  -- GENERIC HIGHER ORDER FUNCTIONS -- filter :: (a -> Bool) -> [a] -> [a]on filter(f, xs)    tell mReturn(f)        set lst to {}        set lng to length of xs        repeat with i from 1 to lng            set v to item i of xs            if |λ|(v, i, xs) then set end of lst to v        end repeat        return lst    end tellend filter -- foldl :: (a -> b -> a) -> a -> [b] -> aon foldl(f, startValue, xs)    tell mReturn(f)        set v to startValue        set lng to length of xs        repeat with i from 1 to lng            set v to |λ|(v, item i of xs, i, xs)        end repeat        return v    end tellend foldl -- Lift 2nd class handler function into 1st class script wrapper -- mReturn :: First-class m => (a -> b) -> m (a -> b)on mReturn(f)    if class of f is script then        f    else        script            property |λ| : f        end script    end ifend mReturn -- map :: (a -> b) -> [a] -> [b]on map(f, xs)    tell mReturn(f)        set lng to length of xs        set lst to {}        repeat with i from 1 to lng            set end of lst to |λ|(item i of xs, i, xs)        end repeat        return lst    end tellend map
Output:
{{1, 4, 9, 16, 25, 36, 49, 64, 81, 100}, {2, 4, 6, 8, 10}, 55}

## Arturo

arr: [1 2 3 4 5] print map arr => [2*]
Output:
2 4 6 8 10

## AutoHotkey

map("callback", "3,4,5") callback(array){  Loop, Parse, array, ,    MsgBox % (2 * A_LoopField)} map(callback, array){  %callback%(array)}

## AWK

$awk 'func psqr(x){print x,x*x}BEGIN{split("1 2 3 4 5",a);for(i in a)psqr(a[i])}'4 165 251 12 43 9 ## Babel Let us define a squaring operator: sq { dup * } < Now, we apply the sq operator over a list and display the result using the lsnum utility: ( 0 1 1 2 3 5 8 13 21 34 ) { sq ! } over ! lsnum ! Output: ( 0 1 1 4 9 25 64 169 441 1156 ) ## BBC BASIC  DIM a(4) a() = 1, 2, 3, 4, 5 PROCmap(a(), FNsqrt()) FOR i = 0 TO 4 PRINT a(i) NEXT END DEF FNsqrt(n) = SQR(n) DEF PROCmap(array(), RETURN func%) LOCAL I% FOR I% = 0 TO DIM(array(),1) array(I%) = FN(^func%)(array(I%)) NEXT ENDPROC  Output:  1 1.41421356 1.73205081 2 2.23606798  ## Bracmat ( ( callbackFunction1 = location value . !arg:(?location,?value) & out$(str$(array[ !location "] = " !!value)) )& ( callbackFunction2 = location value . !arg:(?location,?value) & !!value^2:?!value )& ( mapar = arr len callback i . !arg:(?arr,?len,?callback) & 0:?i & whl ' ( !i:<!len & !callback$(!i,!i$!arr) & 1+!i:?i ) )& tbl$(array,4)& 1:?(0$array)& 2:?(1$array)& 3:?(2$array)& 4:?(3$array)& mapar$(array,4,callbackFunction1)& mapar$(array,4,callbackFunction2)& mapar$(array,4,callbackFunction1)); Output: array[0] = 1 array[1] = 2 array[2] = 3 array[3] = 4 array[0] = 1 array[1] = 4 array[2] = 9 array[3] = 16 ## Brat #Print out each element in array[:a :b :c :d :e].each { element | p element} Alternatively: [:a :b :c :d :e].each ->p ## C callback.h #ifndef CALLBACK_H#define CALLBACK_H /* * By declaring the function in a separate file, we allow * it to be used by other source files. * * It also stops ICC from complaining. * * If you don't want to use it outside of callback.c, this * file can be removed, provided the static keyword is prepended * to the definition. */void map(int* array, int len, void(*callback)(int,int)); #endif callback.c #include <stdio.h>#include "callback.h" /* * We don't need this function outside of this file, so * we declare it static. */static void callbackFunction(int location, int value){ printf("array[%d] = %d\n", location, value);} void map(int* array, int len, void(*callback)(int,int)){ int i; for(i = 0; i < len; i++) { callback(i, array[i]); }} int main(){ int array[] = { 1, 2, 3, 4 }; map(array, 4, callbackFunction); return 0;} Output:  array[0] = 1 array[1] = 2 array[2] = 3 array[3] = 4  ## C# Works with: C# version 3.0+ This version uses the C# 3 lambda notation. int[] intArray = { 1, 2, 3, 4, 5 };// Simplest method: LINQ, functionalint[] squares1 = intArray.Select(x => x * x).ToArray(); // Slightly fancier: LINQ, query expressionint[] squares2 = (from x in intArray select x * x).ToArray(); // Or, if you only want to call a function on each element, just use foreachforeach (var i in intArray) Console.WriteLine(i * i); Works with: C# version 2.0+ Works with: Visual C# version 2005 using System; static class Program{ // Purpose: Apply a callback (or anonymous method) to an Array // Output: Prints the squares of an int array to the console. // Compiler: Visual Studio 2005 // Framework: .net 2 [STAThread] public static void Main() { int[] intArray = { 1, 2, 3, 4, 5 }; // Using a callback, Console.WriteLine("Printing squares using a callback:"); Array.ForEach<int>(intArray, PrintSquare); // or using an anonymous method: Console.WriteLine("Printing squares using an anonymous method:"); Array.ForEach<int> ( intArray, delegate(int value) { Console.WriteLine(value * value); }); } public static void PrintSquare(int value) { Console.WriteLine(value * value); }} ## C++ Works with: g++ version 4.1.1 ### C-Style Array #include <iostream> //cout for printing#include <algorithm> //for_each defined here //create the function (print the square)void print_square(int i) { std::cout << i*i << " ";} int main() { //create the array int ary[]={1,2,3,4,5}; //stl for_each std::for_each(ary,ary+5,print_square); return 0;}//prints 1 4 9 16 25 ### std::vector Library: STL #include <iostream> // cout for printing#include <algorithm> // for_each defined here#include <vector> // stl vector class // create the function (print the square)void print_square(int i) { std::cout << i*i << " ";} int main() { // create the array std::vector<int> ary; ary.push_back(1); ary.push_back(2); ary.push_back(3); ary.push_back(4); ary.push_back(5); // stl for_each std::for_each(ary.begin(),ary.end(),print_square); return 0;}//prints 1 4 9 16 25 More tricky with binary function #include <iostream> // cout for printing#include <algorithm> // for_each defined here#include <vector> // stl vector class#include <functional> // bind and ptr_fun // create a binary function (print any two arguments together)template<class type1,class type2>void print_juxtaposed(type1 x, type2 y) { std::cout << x << y;} int main() { // create the array std::vector<int> ary; ary.push_back(1); ary.push_back(2); ary.push_back(3); ary.push_back(4); ary.push_back(5); // stl for_each, using binder and adaptable unary function std::for_each(ary.begin(),ary.end(),std::bind2nd(std::ptr_fun(print_juxtaposed<int,std::string>),"x ")); return 0;}//prints 1x 2x 3x 4x 5x ### Boost.Lambda Library: Boost using namespace std;using namespace boost::lambda;vector<int> ary(10);int i = 0;for_each(ary.begin(), ary.end(), _1 = ++var(i)); // init arraytransform(ary.begin(), ary.end(), ostream_iterator<int>(cout, " "), _1 * _1); // square and output ### C++11 #include <vector>#include <iostream>#include <algorithm>#include <iterator> int main() { std::vector<int> intVec(10); std::iota(std::begin(intVec), std::end(intVec), 1 ); // Fill the vector std::transform(std::begin(intVec) , std::end(intVec), std::begin(intVec), [](int i) { return i * i ; } ); // Transform it with closures std::copy(std::begin(intVec), end(intVec) , std::ostream_iterator<int>(std::cout, " ")); std::cout << std::endl; return 0;} ## Clean Define a function and an initial (unboxed) array. square x = x * x values :: {#Int}values = {x \\ x <- [1 .. 10]} One can easily define a map for arrays, which is overloaded and works for all kinds of arrays (lazy, strict, unboxed). mapArray f array = {f x \\ x <-: array} Apply the function to the initial array (using a comprehension) and print result. Start :: {#Int}Start = mapArray square values ## Clio Math operations [1 2 3 4] * 2 + 1 -> print Quick functions [1 2 3 4] -> * n: n * 2 + 1 -> print Anonymous function [1 2 3 4] -> * fn n: n * 2 + 1 -> print Named function fn double-plus-one n: n * 2 + 1 [1 2 3 4] -> * double-plus-one -> print ## Clojure ;; apply a named function, inc(map inc [1 2 3 4]) ;; apply a function(map (fn [x] (* x x)) [1 2 3 4]) ;; shortcut syntax for a function(map #(* % %) [1 2 3 4]) ## CLU % This procedure will call a given procedure with each element% of the given array. Thanks to CLU's type parameterization,% it will work for any type of element.apply_to_all = proc [T: type] (a: array[T], f: proctype(int,T)) for i: int in array[T]$indexes(a) do        f(i, a[i])    endend apply_to_all % Callbacks for both string and intshow_int = proc (i, val: int)    po: stream := stream$primary_output() stream$putl(po, "array[" || int$unparse(i) || "] = " || int$unparse(val));end show_int show_string = proc (i: int, val: string)    po: stream := stream$primary_output() stream$putl(po, "array[" || int$unparse(i) || "] = " || val);end show_string % Here's how to use themstart_up = proc () po: stream := stream$primary_output()     ints: array[int] := array[int]$[2, 3, 5, 7, 11] strings: array[string] := array[string]$        ["enemy", "lasagna", "robust", "below", "wax"]     stream$putl(po, "Ints: ") apply_to_all[int](ints, show_int) stream$putl(po, "\nStrings: ")    apply_to_all[string](strings, show_string)end start_up
Output:
Ints:
array[1] = 2
array[2] = 3
array[3] = 5
array[4] = 7
array[5] = 11

Strings:
array[1] = enemy
array[2] = lasagna
array[3] = robust
array[4] = below
array[5] = wax

## COBOL

Basic implementation of a map function:

       IDENTIFICATION DIVISION.       PROGRAM-ID. Map.        DATA DIVISION.       WORKING-STORAGE SECTION.       01  Table-Size CONSTANT 30.        LOCAL-STORAGE SECTION.       01  I USAGE UNSIGNED-INT.        LINKAGE SECTION.       01  Table-Param.           03  Table-Values USAGE COMP-2 OCCURS Table-Size TIMES.        01  Func-Id PIC X(30).        PROCEDURE DIVISION USING Table-Param Func-Id.           PERFORM VARYING I FROM 1 BY 1 UNTIL Table-Size < I               CALL Func-Id USING BY REFERENCE Table-Values (I)           END-PERFORM            GOBACK           .

## CoffeeScript

 map = (arr, f) -> (f(e) for e in arr)arr = [1, 2, 3, 4, 5]f = (x) -> x * xconsole.log map arr, f # prints [1, 4, 9, 16, 25] 

## Common Lisp

Imperative: print 1, 2, 3, 4 and 5:

(map nil #'print #(1 2 3 4 5))

Functional: collect squares into new vector that is returned:

(defun square (x) (* x x))(map 'vector #'square #(1 2 3 4 5))

Destructive, like the Javascript example; add 1 to every slot of vector *a*:

(defvar *a* (vector 1 2 3))(map-into *a* #'1+ *a*)

## Component Pascal

BlackBox Component Builder

 MODULE Callback;IMPORT StdLog; TYPE	Callback = PROCEDURE (x: INTEGER;OUT doubled: INTEGER);	Callback2 = PROCEDURE (x: INTEGER): INTEGER; 	PROCEDURE Apply(proc: Callback; VAR x: ARRAY OF INTEGER);	VAR		i: INTEGER;	BEGIN		FOR i := 0 TO LEN(x) - 1 DO;			proc(x[i],x[i]);		END	END Apply; 	PROCEDURE Apply2(func: Callback2; VAR x: ARRAY OF INTEGER);	VAR		i: INTEGER;	BEGIN		FOR i := 0 TO LEN(x) - 1 DO;			x[i] := func(x[i]);		END	END Apply2; 	PROCEDURE Double(x: INTEGER; OUT y: INTEGER);	BEGIN			y := x * x;	END Double; 	PROCEDURE Double2(x: INTEGER): INTEGER;	BEGIN		RETURN x * x	END Double2; 	PROCEDURE Do*;	VAR		i: INTEGER;		ary: ARRAY 10 OF INTEGER;  	BEGIN		FOR i := 0 TO LEN(ary) - 1 DO ary[i] := i END;		Apply(Double,ary);		FOR i := 0 TO LEN(ary) - 1 DO			StdLog.Int(ary[i]);StdLog.Ln		END;		StdLog.Ln;		Apply2(Double2,ary);		FOR  i := 0 TO LEN(ary) - 1 DO		        StdLog.Int(ary[i]);StdLog.Ln		END	END Do;END Callback. 

Execute: ^Q Callback.Do

Output:
 0
1
4
9
16
25
36
49
64
81

0
1
16
81
256
625
1296
2401
4096
6561


## Crystal

Calling with a block

values = [1, 2, 3] new_values = values.map do |number|  number * 2end puts new_values  #=> [2, 4, 6]

Calling with a function/method

values = [1, 2, 3] def double(number)  number * 2end # the ->double(Int32) syntax creates a proc from a function/method. argument types must be specified.# the &proc syntax passes a proc as a block.# combining the two passes a function/method as a blocknew_values = values.map &->double(Int32) puts new_values  #=> [2, 4, 6]

## D

import std.stdio, std.algorithm; void main() {    auto items = [1, 2, 3, 4, 5];    auto m = items.map!(x => x + 5)();    writeln(m);}
Output:
[6, 7, 8, 9, 10]

## Delphi

 // Declare the callback functionprocedure callback(const AInt:Integer);begin  WriteLn(AInt);end; const  // Declare a static array  myArray:Array[0..4] of Integer=(1,4,6,8,7);var  // Declare interator variable  i:Integer;begin  // Iterate the array and apply callback  for i:=0 to length(myArray)-1 do    callback(myArray[i]);end. 

## Dyalect

func Array.Select(pred) {    let ys = []    for x in this when pred(x) {        ys.Add(x)    }    return ys} var arr = [1, 2, 3, 4, 5]var squares = arr.Select(x => x * x) print(squares)

## Déjà Vu

There is a map builtin that does just this.

!. map @++ [ 1 4 8 ] #implemented roughly like this:#map f lst:#    ]#    for i in lst:#         f i#    [
Output:
[ 2 5 9 ]

## E

def array := [1,2,3,4,5]def square(value) {     return value * value}

Example of builtin iteration:

def callback(index, value) {     println(Item $index is$value.)}array.iterate(callback)

There is no built-in map function yet. The following is one of the ways one could be implemented, returning a plain list (which is usually an array in implementation).

def map(func, collection) {    def output := [].diverge()    for item in collection {        output.push(func(item))    }    return output.snapshot()}println(map(square, array))

## EchoLisp

 (vector-map sqrt #(0 4 16 49))    → #( 0 2 4 7);; or(map exp #(0 1 2))    → #( 1 2.718281828459045 7.38905609893065);; or(for/vector ([elem #(2 3 4)] [i (in-naturals)]) (printf "v[%d] = %a" i elem) (* elem elem))v[0] = 2v[1] = 3v[2] = 4    → #( 4 9 16) 

## Efene

square = fn (N) {    N * N} # list comprehensionsquares1 = fn (Numbers) {    [square(N) for N in Numbers]} # functional formsquares2a = fn (Numbers) {    lists.map(fn square:1, Numbers)} # functional form with lambdasquares2b = fn (Numbers) {    lists.map(fn (N) { N * N }, Numbers)} # no need for a functionsquares3 = fn (Numbers) {    [N * N for N in Numbers]} @publicrun = fn () {    Numbers = [1, 3, 5, 7]    io.format("squares1 : ~p~n", [squares1(Numbers)])    io.format("squares2a: ~p~n", [squares2a(Numbers)])    io.format("squares2b: ~p~n", [squares2b(Numbers)])    io.format("squares3 : ~p~n", [squares3(Numbers)])} 

## EGL

delegate callback( i int ) returns( int ) end program ApplyCallbackToArray	function main()		values int[] = [ 1, 2, 3, 4, 5 ]; 		func callback = square;		for ( i int to values.getSize() )			values[ i ] = func( values[ i ] );		end 		for ( i int to values.getSize() )			SysLib.writeStdout( values[ i ] );		end	end 	function square( i int ) returns( int )		return( i * i );	endend

## Elena

ELENA 5.0 :

import system'routines; PrintSecondPower(n){ console.writeLine(n * n) } public program(){    new int[]{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}.forEach:PrintSecondPower}

## Elixir

 Enum.map([1, 2, 3], fn(n) -> n * 2 end)Enum.map [1, 2, 3], &(&1 * 2) 
Output:
[2, 4, 6]


## Erlang

A list would be more commonly used in Erlang rather than an array.

 1> L = [1,2,3].[1,2,3] 

You can use lists:foreach/2 if you just want to apply the callback to each element of the list.

 2> lists:foreach(fun(X) -> io:format("~w ",[X]) end, L).1 2 3 ok 

Or you can use lists:map/2 if you want to create a new list with the result of the callback on each element.

 3> lists:map(fun(X) -> X + 1 end, L).[2,3,4] 

Or you can use lists:foldl/3 if you want to accumulate the result of the callback on each element into one value.

 4> lists:foldl(fun(X, Sum) -> X + Sum end, 0, L).6 

## ERRE

 PROGRAM CALLBACK !! for rosettacode.org! DIM A[5] FUNCTION CBACK(X)   CBACK=2*X-1END FUNCTION PROCEDURE PROCMAP(ZETA,DUMMY(X)->OUTP)   OUTP=DUMMY(ZETA)END PROCEDURE BEGIN   A[1]=1  A[2]=2   A[3]=3  A[4]=4  A[5]=5   FOR I%=1 TO 5 DO      PROCMAP(A[I%],CBACK(X)->OUTP)      PRINT(OUTP;)   END FOR   PRINTEND PROGRAM 

This example shows how to pass a function to a procedure.

Output:
  1  3  5  7  9


## Euphoria

function apply_to_all(sequence s, integer f)    -- apply a function to all elements of a sequence    sequence result    result = {}    for i = 1 to length(s) do	-- we can call add1() here although it comes later in the program	result = append(result, call_func(f, {s[i]}))    end for    return resultend function function add1(atom x)    return x + 1end function -- add1() is visible here, so we can ask for its routine id? apply_to_all({1, 2, 3}, routine_id("add1"))-- displays {2,3,4}

This is also "Example 2" in the Euphoria documentation for routine_id(). Note that this example will not work for multi-dimensional sequences.

## F#

Apply a named function to each member of the array. The result is a new array of the same size as the input.

let evenp x = x % 2 = 0let result = Array.map evenp [| 1; 2; 3; 4; 5; 6 |]

The same can be done using anonymous functions, this time squaring the members of the input array.

let result = Array.map (fun x -> x * x) [|1; 2; 3; 4; 5|]

Use iter if the applied function does not return a value.

Array.iter (fun x -> printfn "%d" x) [|1; 2; 3; 4; 5|]

## Factor

Print each element squared:

{ 1 2 3 4 } [ sq . ] each

Collect return values:

{ 1 2 3 4 } [ sq ] map

## Fantom

In Fantom, functions can be passed to a collection iterator, such as 'each'. 'map' is used similarly, and the results are collected into a list.

 class Main{  public static Void main ()  {    [1,2,3,4,5].each |Int i| { echo (i) }    Int[] result := [1,2,3,4,5].map |Int i->Int| { return i * i }    echo (result)   }} 
Output:
1
2
3
4
5
[1, 4, 9, 16, 25]


## FBSL

User-defined mapping function:

#APPTYPE CONSOLE FOREACH DIM e IN MyMap(Add42, {1, 2, 3})	PRINT e, " ";NEXT PAUSE FUNCTION MyMap(f, a)	DIM ret[]	FOREACH DIM e IN a		ret[] = f(e)	NEXT	RETURN retEND FUNCTION FUNCTION Add42(n): RETURN n + 42: END FUNCTION
Output:
43 44 45
Press any key to continue...

Standard MAP() function:

#APPTYPE CONSOLE DIM languages[] = {{"English", {"one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten"}}, _		  {"French", {"un", "deux", "trois", "quatre", "cinq", "six", "sept", "huit", "neuf", "dix"}}} MAP(SpeakALanguage, languages) PAUSE SUB NameANumber(lang, nb, number)	PRINT "The number ", nb, " is called ", STRENC(number), " in ", langEND SUB SUB SpeakALanguage(lang)	MAP(NameANumber, lang[0], 1 TO 10, lang[1])	PRINT LPAD("", 40, "-")END SUB
Output:
The number 1 is called "one" in English
The number 2 is called "two" in English
The number 3 is called "three" in English
The number 4 is called "four" in English
The number 5 is called "five" in English
The number 6 is called "six" in English
The number 7 is called "seven" in English
The number 8 is called "eight" in English
The number 9 is called "nine" in English
The number 10 is called "ten" in English
----------------------------------------
The number 1 is called "un" in French
The number 2 is called "deux" in French
The number 3 is called "trois" in French
The number 4 is called "quatre" in French
The number 5 is called "cinq" in French
The number 6 is called "six" in French
The number 7 is called "sept" in French
The number 8 is called "huit" in French
The number 9 is called "neuf" in French
The number 10 is called "dix" in French
----------------------------------------
Press any key to continue...

## Forth

This is a word that will call a given function on each cell in an array.

: map ( addr n fn -- )   -rot cells bounds do  i @ over execute i !  cell +loop ;
Example usage:
create data 1 , 2 , 3 , 4 , 5 ,data 5 ' 1+ map  \ adds one to each element of data

## Fortran

Elemental functions.

Works with: Fortran version ISO 95 and later
module arrCallbackcontains    elemental function cube( x )        implicit none        real :: cube        real, intent(in) :: x        cube = x * x * x    end function cubeend module arrCallback
program testAC    use arrCallback    implicit none    integer :: i, j    real, dimension(3,4) :: b, &        a = reshape( (/ ((10 * i + j, i = 1, 3), j = 1, 4) /), (/ 3,4 /) )     do i = 1, 3        write(*,*) a(i,:)    end do     b = cube( a )  ! Applies CUBE to every member of a,                   ! and stores each result in the equivalent element of b    do i = 1, 3        write(*,*) b(i,:)    end doend program testAC
Works with: ANSI FORTRAN version 77 (with MIL-STD-1753 structured DO) and later
      program testCC--   Declare array:      integer a(5)CC--   Fill it with Data      data a /45,22,67,87,98/CC--   Do something with all elements (in this case: print their squares)      do i=1,5        print *,a(i)*a(i)      end doC      end

## FP

{square * . [id, id]}& square: <1,2,3,4,5>

## FreeBASIC

' FB 1.05.0 Win64 Sub PrintEx(n As Integer)  Print n, n * n, n * n * nEnd Sub Sub Proc(a() As Integer, callback As Sub(n As Integer))  For i As Integer = LBound(a) To UBound(a)    callback(i)  NextEnd Sub Dim a(1 To 10) As Integer = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}Print " n", "n^2", "n^3"Print " -", "---", "---"Proc(a(), @PrintEx)PrintPrint "Press any key to quit the program"Sleep
Output:
 n            n^2           n^3
-            ---           ---
1             1             1
2             4             8
3             9             27
4             16            64
5             25            125
6             36            216
7             49            343
8             64            512
9             81            729
10            100           1000


## Frink

 f = {|x| x^2}   // Anonymous function to square inputa = [1,2,3,5,7]println[map[f, a]] 

## FunL

[1, 2, 3].foreach( println ) [1, 2, 3].foreach( a -> println(2a) )
Output:
1
2
3
2
4
6


## Futhark

 map f l 

e.g.

 map (\x->x+1) [1,2,3] -- [2,3,4] 

or equivalently

 map (+1) [1,2,3] -- [2,3,4] 

## Fōrmulæ

Fōrmulæ programs are not textual, visualization/edition of programs is done showing/manipulating structures but not text. Moreover, there can be multiple visual representations of the same program. Even though it is possible to have textual representation —i.e. XML, JSON— they are intended for storage and transfer purposes more than visualization and edition.

Programs in Fōrmulæ are created/edited online in its website, However they run on execution servers. By default remote servers are used, but they are limited in memory and processing power, since they are intended for demonstration and casual use. A local server can be downloaded and installed, it has no limitations (it runs in your own computer). Because of that, example programs can be fully visualized and edited, but some of them will not run if they require a moderate or heavy computation/memory resources, and no local server is being used.

## GAP

a := [1 .. 4];b := ShallowCopy(a); # Apply and replace valuesApply(a, n -> n*n);a;# [ 1, 4, 9, 16 ] # Apply and don't change valuesList(b, n -> n*n);# [ 1, 4, 9, 16 ] # Apply and don't return anything (only side effects)Perform(b, Display);1234 b;# [ 1 .. 4 ]

## Go

Translation of: Ruby

The task was originally written with a Ruby example, so here are Go versions of the current Ruby examples.

Perhaps in contrast to Ruby, it is idiomatic in Go to use the for statement:

package main import "fmt" func main() {    for _, i := range []int{1, 2, 3, 4, 5} {        fmt.Println(i * i)    }}

Alternatively though, an array-like type can be defined and callback-style methods can be defined on it to apply a function to the elements.

package main import "fmt" type intSlice []int func (s intSlice) each(f func(int)) {    for _, i := range s {        f(i)    }} func (s intSlice) Map(f func(int) int) intSlice {    r := make(intSlice, len(s))    for j, i := range s {        r[j] = f(i)    }    return r} func main() {    s := intSlice{1, 2, 3, 4, 5}     s.each(func(i int) {        fmt.Println(i * i)    })     fmt.Println(s.Map(func(i int) int {        return i * i    }))}
Output:
1
4
9
16
25
[1 4 9 16 25]


## Groovy

Print each value in a list

[1,2,3,4].each { println it }

Create a new list containing the squares of another list

[1,2,3,4].collect { it * it }

### List

Works with: GHC
let square x = x*xlet values = [1..10]map square values

Using list comprehension to generate a list of the squared values

[square x | x <- values]

More directly

[1 .. 10] >>= pure . (^ 2)

Or with one less layer of monadic wrapping

(^ 2) <$> [1..10] Using function composition to create a function that will print the squares of a list let printSquares = mapM_ (print.square)printSquares values ### Array Works with: GHC version 7.10.3 import Data.Array (Array, listArray) square :: Int -> Intsquare x = x * x values :: Array Int Intvalues = listArray (1, 10) [1 .. 10] main :: IO ()main = print$ fmap square values
Output:
array (1,10) [(1,1),(2,4),(3,9),(4,16),(5,25),(6,36),(7,49),(8,64),(9,81),(10,100)]

## Icon and Unicon

procedure main()   local lst   lst := [10, 20, 30, 40]   every callback(write,!lst)end procedure callback(p,arg)   return p(" -> ", arg)end

## IDL

Hard to come up with an example that isn't completely contrived. IDL doesn't really distinguish between a scalar and an array; thus

b = a^3

will yield a scalar if a is scalar or a vector if a is a vector or an n-dimensional array if a is an n-dimensional array

## Io

list(1,2,3,4,5) map(squared)

## J

Solution:

   "_1

Example:

   callback =:  *:   array    =:  1 2 3 4 5    callback"_1 array1 4 9 16 25

But note that this is a trivial example since *: 1 2 3 4 5 would get the same result. Then again, this is something of a trivial exercise in J since all of J is designed around the idea of applying functions usefully to arrays.

## Java

Up to Java 7, you have to define an interface for each type of function you want to use. The IntConsumer performs an action (which doesn't return anything) on an array of ints, while the IntToInt is used to replace the array values.

public class ArrayCallback7 {     interface IntConsumer {        void run(int x);    }     interface IntToInt {        int run(int x);    }     static void forEach(int[] arr, IntConsumer consumer) {        for (int i : arr) {            consumer.run(i);        }    }     static void update(int[] arr, IntToInt mapper) {        for (int i = 0; i < arr.length; i++) {            arr[i] = mapper.run(arr[i]);        }    }     public static void main(String[] args) {        int[] numbers = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};         forEach(numbers, new IntConsumer() {            public void run(int x) {                System.out.println(x);            }        });         update(numbers, new IntToInt() {            @Override            public int run(int x) {                return x * x;            }        });         forEach(numbers, new IntConsumer() {            public void run(int x) {                System.out.println(x);            }        });    }}

Using Java 8 streams:

Works with: Java version 8
import java.util.Arrays; public class ArrayCallback {     public static void main(String[] args) {        int[] myIntArray = {1, 2, 3, 4, 5};         int sum = Arrays.stream(myIntArray)                .map(x -> {                    int cube = x * x * x;                    System.out.println(cube);                    return cube;                })                .reduce(0, (left, right) -> left + right); // <-- could substitute .sum() for .reduce(...) here.        System.out.println("sum: " + sum);    }}

## JavaScript

### ES3

function map(a, func) {  var ret = [];  for (var i = 0; i < a.length; i++) {    ret[i] = func(a[i]);  }  return ret;} map([1, 2, 3, 4, 5], function(v) { return v * v; });

### ES5

[1, 2, 3, 4, 5].map(function(v) { return v * v; });

### ES6

[1, 2, 3, 4, 5].map(v => v * v);

The result is always:

[1, 4, 9, 16, 25]

## Joy

[1 2 3 4 5] [dup *] map.

## jq

# Illustration of map/1 using the builtin filter: expmap(exp)  # exponentiate each item in the input list # A compound expression can be specified as the argument to map, e.g.map( (. * .) + sqrt ) # x*x + sqrt(x) # The compound expression can also be a composition of filters, e.g.map( sqrt|floor )     # the floor of the sqrt # Array comprehensionreduce .[] as $n ([]; . + [ exp ]) # Elementwise operation [.[] + 1 ] # add 1 to each element of the input array  Here is a transcript illustrating how the last of these jq expressions can be evaluated: $ jq -c ' [.[] + 1 ]'[0, 1 , 10][1,2,11]

## Jsish

/* Apply callback, in Jsish using array.map() */;[1, 2, 3, 4, 5].map(function(v,i,a) { return v * v; }); /*=!EXPECTSTART!=[1, 2, 3, 4, 5].map(function(v,i,a) { return v * v; }) ==> [ 1, 4, 9, 16, 25 ]=!EXPECTEND!=*/
Output:
prompt$jsish -u applyCallback.jsi [PASS] applyCallback.jsi ## Julia Works with: Julia version 0.6 numbers = [1, 3, 5, 7] @show [n ^ 2 for n in numbers] # list comprehensionsquare(x) = x ^ 2; @show map(square, numbers) # functional form@show map(x -> x ^ 2, numbers) # functional form with anonymous function@show [n * n for n in numbers] # no need for a function,@show numbers .* numbers # element-wise operation@show numbers .^ 2 # includes .+, .-, ./, comparison, and bitwise operations as well ## Kotlin fun main(args: Array<String>) { val array = arrayOf(1, 2, 3, 4, 5, 6, 7, 8, 9, 10) // build val function = { i: Int -> i * i } // function to apply val list = array.map { function(it) } // process each item println(list) // print results} Output: [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] ## Klingphix include ..\Utilitys.tlhy ( 1 2 3 4 ) [dup *] map pstack " " input Output: ((1, 4, 9, 16)) ## Lambdatalk  {A.map {lambda {:x} {* :x :x}} {A.new 1 2 3 4 5 6 7 8 9 10}}-> [1,4,9,16,25,36,49,64,81,100]  ## Lang5 : square(*) dup * ;[1 2 3 4 5] square . "\n" .[1 2 3 4 5] 'square apply . "\n" . ## langur writeln map f{^2}, 1..10 Output: [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] ## Lasso define cube(n::integer) => #n*#n*#n local( mynumbers = array(1, 2, 3, 4, 5), mycube = array) #mynumbers -> foreach => { #mycube -> insert(cube(#1))} #mycube -> array(1, 8, 27, 64, 125) ## Lisaac + a : ARRAY(INTEGER);+ b : {INTEGER;}; a := ARRAY(INTEGER).create 1 to 3;1.to 3 do { i : INTEGER; a.put i to i;}; b := { arg : INTEGER; (arg * arg).print; '\n'.print;}; a.foreach b; ## Logo to square :x output :x * :xendshow map "square [1 2 3 4 5] ; [1 4 9 16 25]show map [? * ?] [1 2 3 4 5] ; [1 4 9 16 25]foreach [1 2 3 4 5] [print square ?] ; 1 4 9 16 25, one per line ## Lua Say we have an array: myArray = {1, 2, 3, 4, 5} A map function for this would be map = function(f, data) local result = {} for k,v in ipairs(data) do result[k] = f(v) end return resultend Together with our array and a square function this yields: myFunc = function(x) return x*x end print(unpack( map(myFunc, myArray) ))--> 1 4 9 16 25 If you used pairs() instead of ipairs(), this would even work on a hash table in general. However, remember that hash table do not have an implicit ordering on their elements, like arrays do, so pairs() is not guaranteed to return the elements in the same order as ipairs() ## M2000 Interpreter  a=(1,2,3,4,5)b=lambda->{ push number**2 }Print a#map(b) ' 1 4 9 16 25Print a#map(b, b) ' 1 16 81 256 625b=lambda (z) ->{ =lambda z ->{ push number**z } }Print a#map(b(2)) ' 1 4 9 16 25Print a#map(b(3)) ' 1 8 27 64 125 \\ second examplea=(1,2,3,4,5)class s {sum=0}\\ s is a pointer to an instance of s()s->s()c=lambda s -> { push number+number s=>sum=stackitem() ' peek the value from stack}\\ c passed by value to fold(), but has a pointer to sPrint a#fold(c, 100)=115Print s=>sum=115  ## M4 define(foreach', pushdef($1')_foreach([email protected])popdef($1')')dnldefine(_arg1', $1')dnldefine(_foreach', ifelse($2', ()', ', define($1', _arg1$2)$3'$0($1', (shift$2), $3')')')dnldnldefine(apply',foreach(x',$1,$2(x)')')dnldnldefine(z',eval($1*2') ')dnlapply((1,2,3)',z') Output: 2 4 6  ## Maple For lists and sets, which in Maple are immutable, a new object is returned. Either the built-in procedure map, or the short syntax of a trailing tilde (~) on the applied operator may be used.  > map( sqrt, [ 1.1, 3.2, 5.7 ] ); [1.048808848, 1.788854382, 2.387467277] > map( x -> x + 1, { 1, 3, 5 } ); {2, 4, 6} > sqrt~( [ 1.1, 3.2, 5.7 ] ); [1.048808848, 1.788854382, 2.387467277] > (x -> x + 1)~( { 1, 3, 5 } ); {2, 4, 6}  For Arrays (Vectors, Matrices, etc.) both map and trailing tilde also work, and by default create a new object, leaving the input Array unchanged.  > a := Array( [ 1.1, 3.2, 5.7 ] ); a := [1.1, 3.2, 5.7] > sqrt~( a ); [1.048808848, 1.788854382, 2.387467277] > a; [1.1, 3.2, 5.7] > map( sqrt, a ); [1.048808848, 1.788854382, 2.387467277] > a; [1.1, 3.2, 5.7]  However, since these are mutable data structures in Maple, it is possible to use map to modify its input according to the applied procedure.  > map[inplace]( sqrt, a ); [1.048808848, 1.788854382, 2.387467277] > a; [1.048808848, 1.788854382, 2.387467277]  The Array a has been modified. It is also possible to pass additional arguments to the mapped procedure.  > map( +, [ 1, 2, 3 ], 3 ); [4, 5, 6]  Passing additional arguments *before* the arguments from the mapped data structure is achieved using map2, or the more general map[n] procedure.  > map2( -, 5, [ 1, 2, 3 ] ); [4, 3, 2] > map[2]( /, 5, [ 1, 2, 3 ] ); [5, 5/2, 5/3]  ## Mathematica//Wolfram Language (#*#)& /@ {1, 2, 3, 4}Map[Function[#*#], {1, 2, 3, 4}]Map[((#*#)&,{1,2,3,4}]Map[Function[w,w*w],{1,2,3,4}] ## MATLAB There are two types of arrays in MATLAB: arrays and cell arrays. MATLAB includes two functions, one for each of these data types, that accomplish the specification for this task. For arrays, we use "arrayfun()"; for cell arrays we use "cellfun()". Example: For both of these function the first argument is a function handle for the function we would like to apply to each element. The second argument is the array whose elements are modified by the function. The function can be any function, including user defined functions. >> array = [1 2 3 4 5] array = 1 2 3 4 5 >> arrayfun(@sin,array) ans = Columns 1 through 4 0.841470984807897 0.909297426825682 0.141120008059867 -0.756802495307928 Column 5 -0.958924274663138 >> cellarray = {1,2,3,4,5} cellarray = [1] [2] [3] [4] [5] >> cellfun(@tan,cellarray) ans = Columns 1 through 4 1.557407724654902 -2.185039863261519 -0.142546543074278 1.157821282349578 Column 5 -3.380515006246586 ## Maxima /* for lists or sets */ map(sin, [1, 2, 3, 4]);map(sin, {1, 2, 3, 4}); /* for matrices */ matrixmap(sin, matrix([1, 2], [2, 4])); ## min Works with: min version 0.19.3 (1 2 3 4 5) (sqrt puts) foreach ; print each square root(1 2 3 4 5) 'sqrt map ; collect return values ## Modula-3 MODULE Callback EXPORTS Main; IMPORT IO, Fmt; TYPE CallBack = PROCEDURE (a: CARDINAL; b: INTEGER); Values = REF ARRAY OF INTEGER; VAR sample := ARRAY [1..5] OF INTEGER {5, 4, 3, 2, 1}; callback := Display; PROCEDURE Display(loc: CARDINAL; val: INTEGER) = BEGIN IO.Put("array[" & Fmt.Int(loc) & "] = " & Fmt.Int(val * val) & "\n"); END Display; PROCEDURE Map(VAR values: ARRAY OF INTEGER; size: CARDINAL; worker: CallBack) = VAR lvalues := NEW(Values, size); BEGIN FOR i := FIRST(lvalues^) TO LAST(lvalues^) DO worker(i, values[i]); END; END Map; BEGIN Map(sample, NUMBER(sample), callback);END Callback. ## Nanoquery // create a list of numbers 1-10numbers = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} // display the list as it isprintln numbers // square each element in the listfor i in range(1, len(numbers) - 1) numbers[i] = numbers[i] * numbers[i]end // display the squared listprintln numbers Output: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] ## Nemerle The Nemerle.Collections namespace defines the methods Iter() (if the function applied is void) and Map() (if the function applied returns a value). def seg = array[1, 2, 3, 5, 8, 13];def squares = seq.Map(x => x*x); ## NetLogo  ;; NetLogo “anonymous procedures”;; stored in a variable, just to show it can be done.let callback [ [ x ] x * x ]show (map callback [ 1 2 3 4 5 ])  ## NewLISP > (map (fn (x) (* x x)) '(1 2 3 4))(1 4 9 16)  ## NGS { [1, 2, 3, 4, 5].map(F(x) x*x)} ## Nial each (* [first, first] ) 1 2 3 4=1 4 9 16 ## Nim var arr = @[1,2,3,4]arr.apply proc(some: var int) = echo(some, " squared = ", some*some) Output:  1 squared = 1 2 squared = 4 3 squared = 9 4 squared = 16  ## Oberon-2 Works with: oo2x  MODULE ApplyCallBack;IMPORT Out := NPCT:Console; TYPE Fun = PROCEDURE (x: LONGINT): LONGINT; Ptr2Ary = POINTER TO ARRAY OF LONGINT; VAR a: ARRAY 5 OF LONGINT; x: ARRAY 3 OF LONGINT; r: Ptr2Ary; PROCEDURE Min(x,y: LONGINT): LONGINT; BEGIN IF x <= y THEN RETURN x ELSE RETURN y END; END Min; PROCEDURE Init(VAR a: ARRAY OF LONGINT); BEGIN a[0] := 0; a[1] := 1; a[2] := 2; a[3] := 3; a[4] := 4; END Init; PROCEDURE Fun1(x: LONGINT): LONGINT; BEGIN RETURN x * 2 END Fun1; PROCEDURE Fun2(x: LONGINT): LONGINT; BEGIN RETURN x DIV 2; END Fun2; PROCEDURE Fun3(x: LONGINT): LONGINT; BEGIN RETURN x + 3; END Fun3; PROCEDURE Map(F: Fun; VAR x: ARRAY OF LONGINT); VAR i: LONGINT; BEGIN FOR i := 0 TO LEN(x) - 1 DO x[i] := F(x[i]) END END Map; PROCEDURE Map2(F: Fun; a: ARRAY OF LONGINT; VAR r: ARRAY OF LONGINT); VAR i,l: LONGINT; BEGIN l := Min(LEN(a),LEN(x)); FOR i := 0 TO l - 1 DO r[i] := F(a[i]) END END Map2; PROCEDURE Map3(F: Fun; a: ARRAY OF LONGINT): Ptr2Ary; VAR r: Ptr2Ary; i: LONGINT; BEGIN NEW(r,LEN(a)); FOR i := 0 TO LEN(a) - 1 DO r[i] := F(a[i]); END; RETURN r END Map3; PROCEDURE Show(a: ARRAY OF LONGINT); VAR i: LONGINT; BEGIN FOR i := 0 TO LEN(a) - 1 DO Out.Int(a[i],4) END; Out.Ln END Show; BEGIN Init(a);Map(Fun1,a);Show(a); Init(a);Map2(Fun2,a,x);Show(x); Init(a);r := Map3(Fun3,a);Show(r^);END ApplyCallBack.  Output:  0 2 4 6 8 0 0 1 3 4 5 6 7  ## Objeck  use Structure; bundle Default { class Test { function : Main(args : String[]) ~ Nil { Run(); } function : native : Run() ~ Nil { values := IntVector->New([1, 2, 3, 4, 5]); squares := values->Apply(Square(Int) ~ Int); each(i : squares) { squares->Get(i)->PrintLine(); }; } function : Square(value : Int) ~ Int { return value * value; } }}  ## OCaml This function is part of the standard library: Array.map Usage example: let square x = x * x;;let values = Array.init 10 ((+) 1);;Array.map square values;; Or with lists (which are more typical in OCaml): let values = [1;2;3;4;5;6;7;8;9;10];;List.map square values;; Use iter if the applied function does not return a value. Array.iter (fun x -> Printf.printf "%d" x) [|1; 2; 3; 4; 5|];; List.iter (fun x -> Printf.printf "%d" x) [1; 2; 3; 4; 5];; with partial application we can also write: Array.iter (Printf.printf "%d") [|1; 2; 3; 4; 5|];; List.iter (Printf.printf "%d") [1; 2; 3; 4; 5];; ## Octave Almost all the built-in can operate on each element of a vector or matrix; e.g. sin([pi/2, pi, 2*pi]) computes the function sin on pi/2, pi and 2*pi (returning a vector). If a function does not accept vectors/matrices as arguments, the arrayfun can be used. function e = f(x, y) e = x^2 + exp(-1/(y+1));endfunction % f([2,3], [1,4]) gives and error, butarrayfun(@f, [2, 3], [1,4])% works (The function f can be rewritten so that it can accept vectors as argument simply changing operators to their dot relatives: e = x.^2 + exp(-1 ./ (y.+1))) ## Oforth apply allows to perform a function on all elements of a list : 0 #+ [ 1, 2, 3, 4, 5 ] apply map regroups all results into a new list : #sq [ 1, 2, 3, 4, 5 ] map ## Ol Apply custom callback (lambda) to every element of list.  (for-each (lambda (element) (display element)) '(1 2 3 4 5)); ==> 12345  ## ooRexx ooRexx doesn't directly support callbacks on array items, but this is pretty easy to implement using Routine objects. start = .array~of("Rick", "Mike", "David", "Mark")new = map(start, .routines~reversit)call map new, .routines~sayit -- a function to perform an iterated callback over an array-- using the provided function. Returns an array containing-- each function result::routine map use strict arg array, function resultArray = .array~new(array~items) do item over array resultArray~append(function~call(item)) end return resultArray ::routine reversit use arg string return string~reverse ::routine sayit use arg string say string return .true -- called as a function, so a result is required Output: kciR ekiM divaD kraM ## Order Both sequences and tuples support the usual map operation seen in many functional languages. Sequences also support 8seq_for_each, and a few variations, which returns 8nil. #include <order/interpreter.h> ORDER_PP( 8tuple_map(8fn(8X, 8times(8X, 8X)), 8tuple(1, 2, 3, 4, 5)) )// -> (1,4,9,16,25) ORDER_PP( 8seq_map(8fn(8X, 8times(8X, 8X)), 8seq(1, 2, 3, 4, 5)) )// -> (1)(4)(9)(16)(25) ORDER_PP( 8seq_for_each(8fn(8X, 8print(8X 8comma)), 8seq(1, 2, 3, 4, 5)) )// prints 1,2,3,4,5, and returns 8nil ## Oz declare fun{Square A} A*A end Lst = [1 2 3 4 5] %% apply a PROCEDURE to every element {ForAll Lst Show} %% apply a FUNCTION to every element Result = {Map Lst Square} {Show Result} ## PARI/GP Works with: PARI/GP version 2.4.2 and above callback(n)=n+n;apply(callback, [1,2,3,4,5]) This should be contrasted with call: call(callback, [1,2,3,4,5]) which is equivalent to callback(1, 2, 3, 4, 5) rather than [callback(1), callback(2), callback(3), callback(4), callback(5)]. ## Pascal See Delphi ## Perl # create arraymy @a = (1, 2, 3, 4, 5); # create callback functionsub mycallback { return 2 * shift;} # use array indexingfor (my$i = 0; $i < scalar @a;$i++) {  print "mycallback($a[$i]) = ", mycallback($a[$i]), "\n";} # using foreachforeach my $x (@a) { print "mycallback($x) = ", mycallback($x), "\n";} # using map (useful for transforming an array)my @b = map mycallback($_), @a;                # @b is now (2, 4, 6, 8, 10) # and the same using an anonymous functionmy @c = map { $_ * 2 } @a; # @c is now (2, 4, 6, 8, 10) # use a callback stored in a variablemy$func = \&mycallback;my @d = map $func->($_), @a;                  # @d is now (2, 4, 6, 8, 10) # filter an array my @e = grep { $_ % 2 == 0 } @a; # @e is now (2, 4) ## Phix Library: Phix/basics requires("0.8.2") function add1(integer x) return x + 1 end function ?apply({1,2,3},add1)  Output: {2,3,4}  There are in fact three ways to invoke apply: The oldest/original, as above, is apply(s,fn), where fn is invoked length(s) times with a single parameter of s[i]. apply(false,fn,s) likewise invokes fn length(s) times, but each time with length(s[i]) parameters. apply(true,sprintf,{{"%d"},s}), the third way, invokes sprintf length(s) times with two parameters, being "%d" and each s[i]. This last way scans it's third argument looking for a (consistent) longest length to determine how many times to invoke sprintf, uses the length of it's third argument to determine how many parameters each call will get, and uses the same value on every call for any atom or length 1 elements, such as that {"%d"}. ## Phixmonti /# Rosetta Code problem: http://rosettacode.org/wiki/Apply_a_callback_to_an_arrayby Galileo, 05/2022 #/ include ..\Utilitys.pmt def ++ 1 +enddef def square dup *enddef ( 1 2 3 ) dup getid ++ map swapgetid square map pstack Output: [[2, 3, 4], [1, 4, 9]] === Press any key to exit === ## PHP function cube($n){   return($n *$n * $n);}$a = array(1, 2, 3, 4, 5);$b = array_map("cube",$a);print_r($b); ## Picat Picat doesn't support anonymous (lambda) functions so the function must be defined in the program to be used by - say - map/2. There are - however - quite a few ways without proper lambdas, using map/2, apply/2, or list comprehensions. go => L = 1..10, % Using map/2 in different ways println(L.map(fun)), println(map(L,fun)), println(map(fun,L)), % List comprehensions println([fun(I) : I in L]), % Using apply/2 println([apply(fun,I) : I in L]), % And using list comprehension with the function directly. println([I*I : I in L]), nl. % Some functionfun(X) = X*X.  Translation of: Prolog This variant is inspired by the Prolog solution (using assert/1 to define a predicate) and shows the integration with Picat's underlying B-Prolog engine. Picat does not support assert/1 directly, so one have to do the assert/1 in the bp module space (the module/space for the B-Prolog engine). To call the defined predicate, one must prepend the predicate name with "bp.". Note that fun2/2 is not a function so map/2 or apply/2 cannot be used here. go2 => L = 1..10, % Define the predicate _in the bp space_. bp.assert($(fun2(X,Y) :- Y is X*X) ),    % Use bp.fun2 to call the function.   println([B : A in L, bp.fun2(A,B)]),   nl.

Using this technique one can do quite much "real" Prolog stuff even though Picat doesn't support it directly. However, one should be careful with this approach since it can sometimes be confusing and it doesn't work in all cases.

## PicoLisp

: (mapc println (1 2 3 4 5))  # Print numbers12345-> 5 : (mapcar '((N) (* N N)) (1 2 3 4 5))  # Calculate squares-> (1 4 9 16 25) : (mapcar ** (1 2 3 4 5) (2 .))  # Same, using a circular list-> (1 4 9 16 25) : (mapcar if '(T NIL T NIL) '(1 2 3 4) '(5 6 7 8))  # Conditional function-> (1 6 3 8)

## Pike

int cube(int n){    return n*n*n;} array(int) a = ({ 1,2,3,4,5 });array(int) b = cube(a[*]);      // automap operatorarray(int) c = map(a, cube);    // conventional map function

## PL/I

   declare x(5) initial (1,3,5,7,8);   x = sqrt(x);   x = sin(x);

## PL/SQL

PL/SQL doesn't have callbacks, though we can pass around an object and use its method to simulate one. Further, this callback method can be defined in an abstract class that the mapping function will expect.

-- Let's create a generic class with one method to be used as an interface:CREATE OR REPLACETYPE callback AS OBJECT (    -- A class needs at least one member even though we don't use it    -- There's no generic OBJECT type, so let's call it NUMBER    dummy NUMBER,    -- Here's our function, and since PL/SQL doesn't have generics,    -- let's use type NUMBER for our params    MEMBER FUNCTION exec(n NUMBER) RETURN NUMBER) NOT FINAL NOT instantiable;/ -- Now let's inherit from that, defining a class with one method. We'll have ours square a number.-- We can pass this class into any function that takes type callback:CREATE OR REPLACE TYPE CB_SQUARE under callback (    OVERRIDING MEMBER FUNCTION exec(n NUMBER) RETURN NUMBER)/CREATE OR REPLACETYPE BODY CB_SQUARE AS    OVERRIDING MEMBER FUNCTION exec(n NUMBER) RETURN NUMBER IS    BEGIN        RETURN n * n;    END exec;END;/ -- And a package to hold our testCREATE OR REPLACE PACKAGE PKG_CALLBACK AS     myCallback cb_square;    TYPE intTable IS TABLE OF NUMBER INDEX BY BINARY_INTEGER;    ints intTable;    i PLS_INTEGER;     PROCEDURE test_callback;END PKG_CALLBACK;/ CREATE OR REPLACE PACKAGE BODY PKG_CALLBACK AS    -- Our generic mapping function that takes a "method" and a collection    -- Note that it takes the generic callback type     -- that doesn't know anything about squaring    PROCEDURE do_callback(myCallback IN callback, ints IN OUT intTable) IS        i PLS_INTEGER;        myInt NUMBER;    BEGIN        FOR i IN 1 .. ints.COUNT LOOP            myInt := ints(i);            -- PL/SQL call's the child's method            ints(i) := myCallback.exec(myInt);        END LOOP;    END do_callback;     PROCEDURE test_callback IS    BEGIN        myCallback := cb_square(NULL);        FOR i IN 1..5 LOOP            ints(i) := i;        END LOOP;         do_callback(myCallback, ints);         i := ints.FIRST;        WHILE i IS NOT NULL LOOP            DBMS_OUTPUT.put_line(ints(i));            i := ints.next(i);        END LOOP;    END test_callback;END PKG_CALLBACK;/ BEGIN  PKG_CALLBACK.TEST_CALLBACK();END;/

## Pop11

;;; Define a proceduredefine proc(x);    printf(x*x, '%p,');enddefine; ;;; Create arraylvars ar = { 1 2 3 4 5}; ;;; Apply procedure to arrayappdata(ar, proc);

If one wants to create a new array consisting of transformed values then procedure mapdata may be more convenient.

## PostScript

The forall operator applies a procedure to each element of an array, a packed array or a string.

[1 2 3 4 5] { dup mul = } forall

In this case the respective square numbers for the elements are printed.

To create a new array from the results above code can simply be wrapped in []:

[ [1 2 3 4 5] { dup mul } forall ]
Library: initlib
 [1 2 3 4 5] {dup *} map

## PowerShell

This can be done in PowerShell with the ForEach-Object cmdlet which applies a scriptblock to each element of an array:

1..5 | ForEach-Object { $_ *$_ }

To recreate a map function, found in other languages the same method applies:

function map ([array] $a, [scriptblock]$s) {    $a | ForEach-Object$s}map (1..5) { $_ *$_ }

## Prolog

Prolog doesn't have arrays, but we can do it with lists. This can be done in the console mode.

 ?- assert((fun(X, Y) :- Y is 2 * X)).true. ?- maplist(fun, [1,2,3,4,5], L).L = [2,4,6,8,10].

## PureBasic

Procedure Cube(Array param.i(1))    Protected n.i    For n = 0 To ArraySize(param())        Debug Str(param(n)) + "^3 = " + Str(param(n) * param(n) * param(n))    Next EndProcedure  Dim AnArray.i(4) For n = 0 To ArraySize(AnArray())     AnArray(n) = Random(99)Next  Cube(AnArray())

## Python

def square(n):    return n * n numbers = [1, 3, 5, 7] squares1 = [square(n) for n in numbers]     # list comprehension squares2a = map(square, numbers)            # functional form squares2b = map(lambda x: x*x, numbers)     # functional form with lambda squares3 = [n * n for n in numbers]         # no need for a function,                                            # anonymous or otherwise isquares1 = (n * n for n in numbers)        # iterator, lazy import itertoolsisquares2 = itertools.imap(square, numbers) # iterator, lazy

To print squares of integers in the range from 0 to 9, type:

print " ".join(str(n * n) for n in range(10))

Or:

print " ".join(map(str, map(square, range(10))))

Result:

0 1 4 9 16 25 36 49 64 81

## Quackery

As a dialogue in the Quackery shell (REPL), applying the word cubed to the nest [ 1 2 3 4 5 6 7 8 9 10 ], first treating the nest as a list, then as an array.

/O> [ 3 ** ] is cubed ( n --> n )...  Stack empty. /O> ' [ 1 2 3 4 5 6 7 8 9 10 ]... [] swap witheach ...   [ cubed join ]...  Stack: [ 1 8 27 64 125 216 343 512 729 1000 ]  /O> drop...  Stack empty. /O> ' [ 1 2 3 4 5 6 7 8 9 10 ]... dup witheach...   [ cubed swap i^ poke ]...  Stack: [ 1 8 27 64 125 216 343 512 729 1000 ]

## R

Many functions can take advantage of implicit vectorisation, e.g.

cube <- function(x) x*x*xelements <- 1:5cubes <- cube(elements)

Explicit looping over array elements is also possible.

cubes <- numeric(5)for(i in seq_along(cubes)){   cubes[i] <- cube(elements[i])}

Loop syntax can often simplified using the *apply family of functions.

elements2 <- list(1,2,3,4,5)cubes <- sapply(elements2, cube)

In each case above, the value of 'cubes' is

1   8  27  64 125


## Racket

 #lang racket ;; using the for/vector' comprehension form(for/vector ([i #(1 2 3 4 5)]) (sqr i)) ;; the usual functional map'(vector-map sqr #(1 2 3 4 5))

## Raku

(formerly Perl 6)

Works with: Rakudo version 2015.10-11
sub function { 2 * $^x + 3 };my @array = 1 .. 5; # via map function.say for map &function, @array; # via map method.say for @array.map(&function); # via for loopfor @array { say function($_);} # via the "hyper" metaoperator and method indirectionsay @array».&function; # we neither need a variable for the array nor for the functionsay [1,2,3]>>.&({ $^x + 1});  ## Raven # To print the squared elements[1 2 3 4 5] each dup * print # To obtain a new arraygroup [1 2 3 4 5] each dup *list ## REBOL rebol [ Title: "Array Callback" URL: http://rosettacode.org/wiki/Apply_a_callback_to_an_Array] map: func [ "Apply a function across an array." f [native! function!] "Function to apply to each element of array." a [block!] "Array to process." /local x][x: copy [] forall a [append x do [f a/1]] x] square: func [x][x * x] ; Tests: assert: func [code][print [either do code [" ok"]["FAIL"] mold code]] print "Simple loop, modify in place:"assert [[1 100 81] = (a: [1 10 9] forall a [a/1: square a/1] a)] print [crlf "Functional style with 'map':"]assert [[4 16 36] = map :square [2 4 6]] print [crlf "Applying native function with 'map':"]assert [[2 4 6] = map :square-root [4 16 36]] Output: Simple loop, modify in place: ok [[1 100 81] = (a: [1 100 81] forall a [a/1: square a/1] a)] Functional style with 'map': ok [[4 16 36] = map :square [2 4 6]] Applying native function with 'map': ok [[2 4 6] = map :square-root [4 16 36]] ## Retro Retro provides a variety of array words. Using these to multiply each value in an array by 10 and display the results: { #1 #2 #3 #4 #5 } [ #10 * ] a:map [ n:put sp ] a:for-each ## REXX /*REXX program applies a callback to an array (using factorials for a demonstration).*/numeric digits 100 /*be able to display some huge numbers.*/parse arg # . /*obtain an optional value from the CL.*/a.= /*initialize the array A to all nulls*/if #=='' | #=="," then #= 12 /*Not assigned? Then use default value*/ do j=0 to #; a.j= j /*assign the integer J ───► A.j */ end /*j*/ /*array A will have N values: 0 ──► #*/ call listA 'before callback' /*display A array before the callback*/say /*display a blank line for readability.*/say ' ··· applying callback to array A ···' /*display what is about to happen to B.*/say /*display a blank line for readability.*/call bangit 'a' /*factorialize (the values) of A array.*/ /* store the results ───► array B.*/call listA ' after callback' /*display A array after the callback.*/exit 0 /*stick a fork in it, we're all done. *//*──────────────────────────────────────────────────────────────────────────────────────*/bangit: do v=0;$= value(arg(1)'.'v);  if $=='' then return /*No value? Then return*/ call value arg(1)'.'v, fact($)         /*assign a value (a factorial) to array*/          end    /*i*//*──────────────────────────────────────────────────────────────────────────────────────*/fact:   procedure; arg x;   != 1;         do f=2  to x;  != !*f;  end; /*f*/;     return !listA:    do k=0  while a.k\=='';  say arg(1)  'a.'k"="  a.k;     end  /*k*/;     return
output   when using the default input:
before callback a.0= 0
before callback a.1= 1
before callback a.2= 2
before callback a.3= 3
before callback a.4= 4
before callback a.5= 5
before callback a.6= 6
before callback a.7= 7
before callback a.8= 8
before callback a.9= 9
before callback a.10= 10
before callback a.11= 11
before callback a.12= 12

··· applying callback to array A ···

after callback a.0= 1
after callback a.1= 1
after callback a.2= 2
after callback a.3= 6
after callback a.4= 24
after callback a.5= 120
after callback a.6= 720
after callback a.7= 5040
after callback a.8= 40320
after callback a.9= 362880
after callback a.10= 3628800
after callback a.11= 39916800
after callback a.12= 479001600


## Ring

 for x in [1,2,3,4,5]    x = x*xnext

## RLaB

RLaB has two type of arrays: 'standard' or 1-dimensional, that can be a row- or a column-vectory; and, 'associative' which are called lists. For standard array its entry identifier (index) is an integer in range 1:N where N is the size of the array. For associative array its entry identifier is a string consisting of printable ASCII characters.

All scalar mathematical functions are 'matrix-optimized' meaning that if the argument to a function is a matrix, then the return value of the function is a matrix of the same size as the input argument, where the function is applied to the individual entries of the matrix. Consider an example:

 >> x = rand(2,4) 0.707213207   0.275298961   0.396757763   0.232312312 0.215619868   0.207078017   0.565700032   0.666090571>> sin(x) 0.649717845   0.271834652   0.386430003   0.230228332 0.213952984   0.205601224   0.536006923   0.617916954

This can be done on entry-by-entry basis, but one has to keep in mind that the 'for' or 'while' loops are slow in interpreted languages, and RLaB is no exception.

 x = rand(2,4);y = zeros(2,4);for (i in 1:2){  for (j in 1:4)  {    y[i;j] = sin( x[i;j] );  }}

The functions can take lists as arguments, but then it has to be specified within the body of the function what to do with the list elements. Given a list call it 'x' there is a RLaB function 'members' which returns a string vector with the names of the elements of the list.

 x = <<>>;for (i in 1:9){  x.[i] = rand();} y = <<>>;for (i in members(x)){  y.[i] = sin( x.[i] );}

## Ruby

You could use a traditional "for i in arr" approach like below:

for i in [1,2,3,4,5] do   puts i**2end

Or you could the more preferred ruby way of an iterator (which is borrowed from SmallTalk)

[1,2,3,4,5].each{ |i| puts i**2 }

To create a new array of each value squared

[1,2,3,4,5].map{ |i| i**2 }

## Rust

fn echo(n: &i32) {    println!("{}", n);} fn main() {    let a: [i32; 5];    a = [1, 2, 3, 4, 5];    let _: Vec<_> = a.into_iter().map(echo).collect();}

## Salmon

These examples apply the square function to a list of the numbers from 0 through 9 to produce a new list of their squares, then iterate over the resulting list and print the squares.

function apply(list, ageless to_apply)  (comprehend(x; list) (to_apply(x))); function square(x) (x*x); iterate(x; apply([0...9], square))    x!;

With short identifiers:

include "short.salm"; fun apply(list, ageless to_apply)  (comp(x; list) (to_apply(x))); fun square(x) (x*x); iter(x; apply([0...9], square))    x!;

With the numbers given as a list of individual elements:

function apply(list, to_apply)  (comprehend(x; list) (to_apply(x))); function square(x) (x*x); iterate(x; apply([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], square))    x!;

## Sather

class MAIN is  do_something(i:INT):INT is    return i * i;  end;   main is    a:ARRAY{INT} := |1, 2, 3, 4, 5|;    -- we use an anonymous closure to apply our do_something "callback"    a.map(bind(do_something(_)));    loop #OUT + a.elt! + "\n"; end;  end;end;

## Scala

val l = List(1,2,3,4)l.foreach {i => println(i)}

When the argument appears only once -as here, i appears only one in println(i) - it may be shortened to

l.foreach(println(_))

Same for an array

val a = Array(1,2,3,4)a.foreach {i => println(i)}a.foreach(println(_))  '' // same as previous line''

Or for an externally defined function:

def doSomething(in: int) = {println("Doing something with "+in)}l.foreach(doSomething)

There is also a for syntax, which is internally rewritten to call foreach. A foreach method must be defined on a

for(val i <- a) println(i)

It is also possible to apply a function on each item of an list to get a new list (same on array and most collections)

val squares = l.map{i => i * i} ''//squares is''  List(1,4,9,16)

Or the equivalent for syntax, with the additional keyword yield, map is called instead of foreach

val squares = for (val i <- l) yield i * i

## Scheme

(define (square n) (* n n))(define x #(1 2 3 4 5))(map square (vector->list x))

A single-line variation

(map (lambda (n) (* n n)) '(1 2 3 4 5))

For completeness, the map function (which is R5RS standard) can be coded as follows:

(define (map f L)  (if (null? L)      L      (cons (f (car L)) (map f (cdr L)))))

## SenseTalk

 put each item in [1,2,3,5,9,14,24] squared put myFunc of each for each item of [1,2,3,5,9,14,24] to handle myFunc of num	return 2*num + 1end myFunc

Output:

(1,4,9,25,81,196,576)(3,5,7,11,19,29,49)

## Sidef

Defining a callback function:

func callback(i) { say i**2 }

The function will get called for each element:

[1,2,3,4].each(callback)

Same as above, but with the function inlined:

[1,2,3,4].each{|i| say i**2 }

For creating a new array, we can use the Array.map method:

[1,2,3,4,5].map{|i| i**2 }

## Simula

BEGIN     ! APPLIES A CALLBACK FUNCTION TO AN ARRAY ;    PROCEDURE APPLY(ARR, FUN);        REAL ARRAY ARR;        PROCEDURE FUN IS REAL PROCEDURE FUN(X); REAL X;;    BEGIN        INTEGER I;        FOR I := LOWERBOUND(ARR, 1) STEP 1 UNTIL UPPERBOUND(ARR, 1) DO            ARR(I) := FUN(ARR(I));    END APPLY;     ! CALLBACK ;    REAL PROCEDURE SQUARE(X); REAL X; SQUARE := X * X;     REAL ARRAY A(1:5);    INTEGER I;    FOR I := 1 STEP 1 UNTIL 5 DO A(I) := I;    APPLY(A, SQUARE);    FOR I := 1 STEP 1 UNTIL 5 DO OUTFIX(A(I), 2, 8); OUTIMAGE; END.
Output:
    1.00    4.00    9.00   16.00   25.00


## Slate

#( 1 2 3 4 5 ) collect: [| :n | n * n].

## Smalltalk

#( 1 2.0 'three') do: [:each | each displayNl].

You can tell symbols how to react to the value: message, and then write ²:

#( 1 2.0 'three') do: #displayNl.

2) actually most dialects already have it, and it is trivial to add, if it does not.

There is a huge number of additional enumeration messages implemented in Collection, from which Array inherits. Eg.:

#( 1 2 3 4 5 ) collect: [:n | n * n].

## Sparkling

The foreach function calls the supplied callback on each element of the (possibly associative) array, passing it each key and the corresponding value:

let numbers = { 1, 2, 3, 4 };foreach(numbers, function(idx, num) {    print(num);});

The map function applies the transform to each key-value pair and constructs a new array, of which the keys are the keys of the original array, and the corresponding values are the return values of each call to the transform function:

let dict = { "foo": 42, "bar": 13, "baz": 37 };let doubled = map(dict, function(key, val) {    return val * 2;});

## SQL PL

Works with: Db2 LUW
version 9.7 or higher.

With SQL PL:

 --#SET TERMINATOR @ SET SERVEROUTPUT ON @ BEGIN DECLARE TYPE NUMBERS AS SMALLINT ARRAY[5]; DECLARE NUMBERS NUMBERS; DECLARE I SMALLINT;  SET I = 1; WHILE (I <= 5) DO  SET NUMBERS[I] = I;  SET I = I + 1; END WHILE;  BEGIN  DECLARE PROCEDURE PRINT_SQUARE (    IN VALUE SMALLINT   )  BEGIN   CALL DBMS_OUTPUT.PUT(VALUE * VALUE || ' ');  END;   SET I = 1;  WHILE (I <= 5) DO   CALL PRINT_SQUARE(NUMBERS[I]);   SET I = I + 1;  END WHILE;  CALL DBMS_OUTPUT.PUT_LINE(''); END;END @

Output:

db2 [email protected]
db2 => BEGIN
...
db2 (cont.) => END @
DB20000I  The SQL command completed successfully.

1 4 9 16 25


## Standard ML

 map f l

i.e.

 map (fn x=>x+1) [1,2,3];; (* [2,3,4] *)

## Stata

There is no 'map' function in Mata, but it's easy to implement. Notice that you can only pass functions that are written in Mata, no builtin ones. For instance, the trigonometric functions (cos, sin) or the exponential are builtin. To pass a builtin function to another function, one needs to write a wrapper in Mata. See also Stata help about pointers and passing functions to functions. There are two versions of the function: one to return a numeric array, another to return a string array.

function map(f,a) {	nr = rows(a)	nc = cols(a)	b = J(nr,nc,.)	for (i=1;i<=nr;i++) {		for (j=1;j<=nc;j++) b[i,j] = (*f)(a[i,j])	}	return(b)} function maps(f,a) {	nr = rows(a)	nc = cols(a)	b = J(nr,nc,"")	for (i=1;i<=nr;i++) {		for (j=1;j<=nc;j++) b[i,j] = (*f)(a[i,j])	}	return(b)} function square(x) {	return(x*x)}

Output

: map(&square(),(1,2,3\4,5,6))
1    2    3
+----------------+
1 |   1    4    9  |
2 |  16   25   36  |
+----------------+

## SuperCollider

Actually, there is a builtin squared operator:

[1, 2, 3].squared  // returns [1, 4, 9]

Anything that is a Collection can be used with collect:

[1, 2, 3].collect { |x| x * x }

List comprehension combined with a higher-order function can also be used:

var square = { |x| x * x };var map = { |fn, xs|  all {: fn.value(x), x <- xs };};map.value(square, [1, 2, 3]);

## Swift

func square(n: Int) -> Int {    return n * n} let numbers = [1, 3, 5, 7] let squares1a = numbers.map(square)         // map method on array let squares1b = numbers.map {x in x*x}      // map method on array with anonymous function let squares1b = numbers.map { $0 *$0 }      // map method on array with anonymous function and unnamed parameters let isquares1 = numbers.lazy.map(square)   // lazy sequence

## Tailspin

 def numbers: [1,3,7,10]; templates cube  $*$ * $!end cube // Using inline array templates (which also allows access to index by$i)$numbers -> \[i]($ * $i !\) -> !OUT::write$numbers -> \[i]($*$ !\) -> !OUT::write$numbers -> \[i]($ -> cube !\) -> !OUT::write // Using array literal and deconstructor[ $numbers... ->$ * $] -> !OUT::write[$numbers... -> cube ] -> !OUT::write

## Tcl

If I wanted to call "myfunc" on each element of dat and dat were a list:

foreach var $dat { myfunc$var}

This does not retain any of the values returned by myfunc.

if dat were an (associative) array, however:

foreach name [array names dat] {    myfunc $dat($name)}

More functional, with a simple map function:

proc map {f list} {   set res {}   foreach e $list {lappend res [$f $e]} return$res}proc square x {expr {$x*$x}} % map square {1 2 3 4 5}1 4 9 16 25

## TI-89 BASIC

© For no return valueDefine foreach(fe_cname,fe_list) = Prgm  Local fe_i  For fe_i,1,dim(fe_list)    #fe_cname(fe_list[fe_i])  EndForEndPrgm © For a list of resultsDefine map(map_cnam,map_list) = seq(#map_cnam(map_list[map_i]),map_i,1,dim(map_list)) Define callback(elem) = Prgm  Disp elemEndPrgm foreach("callback", {1,2,3,4,5})Disp map("√", {1,2,3,4,5})
Output:

${\displaystyle 1}$
${\displaystyle 2}$
${\displaystyle 3}$
${\displaystyle 4}$
${\displaystyle 5}$
${\displaystyle {\begin{Bmatrix}1&{\sqrt {2}}&{\sqrt {3}}&2&{\sqrt {5}}\end{Bmatrix}}}$

## TIScript

JavaScript alike:

var a = [1, 2, 3, 4, 5];a.map(function(v) { return v * v; })

Using short form of lambda notation:

var a = [1, 2, 3, 4, 5];a.map( :v: v*v );

## Toka

( array count function -- ){  value| array fn |  [ i array ] is I  [ to fn swap to array 0 swap [ I array.get :stack fn invoke I array.put ] countedLoop ]} is map-array ( Build an array )5 cells is-array a10 0 a array.put11 1 a array.put12 2 a array.put13 3 a array.put14 4 a array.put ( Add 1 to each item in the array )a 5  [ 1 + ] map-array

## TorqueScript

--Elm 03:41, 18 June 2012 (UTC)

Callbacks:

 function map(%array,%arrayCount,%function){	for(%i=0;%i<%arrayCount;%i++)	{		eval("%a = "@%[email protected]"["@%[email protected]"];");		eval(""@%[email protected]"("@%[email protected]");");	}}

Now to set up an array:

 $array[0] = "Hello.";$array[1] = "Hi.";$array[2] = "How are you?";  Now to call the function correctly:  map("$array",3,"echo");

Which should result in:

 => Hello. => Hi. => How are you?

## TXR

Print 1 through 10 out of a vector, using prinl the callback, right from the system shell command prompt: