Sorting algorithms/Counting sort: Difference between revisions

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Content added Content deleted
m (→‎{{header|REXX}}: added another comment to the REXX section header about what kinds of integers are supported.)
m (→‎version 1: removed the need for the I DO loop, the finding of the MIN and MAX was incorporated into the J DO loop.)
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/*──────────────────────────────────COUNTSORT subroutine────────────────*/
/*──────────────────────────────────COUNTSORT subroutine────────────────*/
countSort: procedure expose @.; parse arg N; L=@.1; h=L; _.=0; x=1
countSort: procedure expose @.; parse arg N; L=@.1; h=L; _.=0; x=1
do i=2 to N; L=min(L,@.i); h=max(h,@.i); end /*i*/
do j=1 for N; z=@.j; _.z=_.z+1; L=min(L,@.j); h=max(h,@.j); end /*j*/
do j=1 for N; z=@.j; _.z=_.z+1; end /*j*/
do k=L to h; do x=x for _.k; @.x=k; end /*x*/; end /*k*/
do k=L to h; do x=x for _.k; @.x=k; end /*x*/; end /*k*/
return
return
/*──────────────────────────────────SHOW@ subroutine────────────────────*/
/*──────────────────────────────────SHOW@ subroutine────────────────────*/

Revision as of 20:40, 3 April 2015

Task
Sorting algorithms/Counting sort
You are encouraged to solve this task according to the task description, using any language you may know.
This page uses content from Wikipedia. The original article was at Counting sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)

Implement the Counting sort. This is a way of sorting integers when the minimum and maximum value are known.

Pseudocode:

function countingSort(array, min, max):
    count: array of (max - min + 1) elements
    initialize count with 0
    for each number in array do
        count[number - min] := count[number - min] + 1
    done
    z := 0
    for i from min to max do
        while ( count[i - min] > 0 ) do
            array[z] := i
            z := z+1
            count[i - min] := count[i - min] - 1
        done
    done

The min and max can be computed apart, or be known a priori.

Note: we know that, given an array of integers, its maximum and minimum values can be always found; but if we imagine the worst case for an array of 32 bit integers, we see that in order to hold the counts, we need an array of 232 elements, i.e., we need, to hold a count value up to 232-1, more or less 4 Gbytes. So the counting sort is more practical when the range is (very) limited and minimum and maximum values are known a priori. (Anyway sparse arrays may limit the impact of the memory usage)

ActionScript

<lang ActionScript>function countingSort(array:Array, min:int, max:int) { var count:Array = new Array(array.length); for(var i:int = 0; i < count.length;i++)count[i]=0; for(i = 0; i < array.length; i++) { count[array[i]-min] ++; } var j:uint = 0; for(i = min; i <= max; i++) { for(; count[i-min] > 0; count[i-min]--) array[j++] = i; } return array; }</lang>

Ada

Given that we know the range of data, the problem really reduces to initializing the array to the ordered range of values. The input order is irrelevant. <lang Ada>with Ada.Text_Io; use Ada.Text_Io;

procedure Counting_Sort is

  type Data is array (Integer range <>) of Natural;
  procedure Sort(Item : out Data) is
  begin
     for I in Item'range loop
        Item(I) := I;
     end loop;
  end Sort;
  Stuff : Data(1..140);

begin

  Sort(Stuff);
  for I in Stuff'range loop
     Put(Natural'Image(Stuff(I)));
  end loop;
  New_Line;

end Counting_Sort;</lang>

Output

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97
98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 
133 134 135 136 137 138 139 140

ALGOL 68

Translation of: C


Works with: ALGOL 68 version Standard - no extensions to language used


Works with: ALGOL 68G version Any - tested with release mk15-0.8b.fc9.i386


Works with: ELLA ALGOL 68 version Any (with appropriate job cards) - tested with release 1.8.8d.fc9.i386

<lang algol68>PROC counting sort mm = (REF[]INT array, INT min, max)VOID: (

 INT z := LWB array - 1;
 [min:max]INT count;
 FOR i FROM LWB count TO UPB count DO count[i] := 0 OD;
 FOR i TO UPB array DO count[ array[i] ]+:=1 OD;
 FOR i FROM LWB count TO UPB count DO
   FOR j TO count[i] DO array[z+:=1] := i OD
 OD

);

PROC counting sort = (REF[]INT array)VOID: (

 INT min, max;
 min := max := array[LWB array];
 FOR i FROM LWB array + 1 TO UPB array DO
   IF array[i] < min THEN
     min := array[i]
   ELIF array[i] > max THEN
     max := array[i]
   FI
 OD

);

  1. Testing (we suppose the oldest human being is less than 140 years old). #

INT n = 100; INT min age = 0, max age = 140; main: (

 [n]INT ages;
 FOR i TO UPB ages DO ages[i] := ENTIER (random * ( max age + 1 ) ) OD;
 counting sort mm(ages, min age, max age);
 FOR i TO UPB ages DO print((" ", whole(ages[i],0))) OD;
 print(new line)

)</lang> Sample output:

0 1 2 3 3 4 4 5 6 7 8 9 9 10 11 12 15 18 18 19 21 21 22 27 33 35 36 38 38 38 38 39 40 40 41 43 44 53 54 55 57 57 58 59 59 60 60 60 60 61 62 64 65 66 67 68 70 71 78 79 82 83 84 84 87 87 88 88 88 89 89 92 93 93 97 98 99 99 100 107 109 114 115 115 118 122 126 127 127 129 129 130 131 133 134 136 136 137 139 139

AutoHotkey

contributed by Laszlo on the ahk forum <lang AutoHotkey>MsgBox % CountingSort("-1,1,1,0,-1",-1,1)

CountingSort(ints,min,max) {

  Loop % max-min+1
     i := A_Index-1, a%i% := 0
  Loop Parse, ints, `, %A_Space%%A_Tab%
     i := A_LoopField-min, a%i%++
  Loop % max-min+1 {
     i := A_Index-1, v := i+min
     Loop % a%i%
        t .= "," v
  }
  Return SubStr(t,2)

}</lang>

BBC BASIC

<lang bbcbasic> DIM test%(9)

     test%() = 4, 65, 2, -31, 0, 99, 2, 83, 782, 1
     PROCcountingsort(test%(), -31, 782)
     FOR i% = 0 TO 9
       PRINT test%(i%) ;
     NEXT
     PRINT
     END
     
     DEF PROCcountingsort(a%(), l%, h%)
     LOCAL i%, z%, c%()
     DIM c%(h% - l%)
     FOR i% = 0 TO DIM(a%(),1)
       c%(a%(i%) - l%) += 1
     NEXT
     FOR i% = l% TO h%
       WHILE c%(i% - l%)
         a%(z%) = i%
         z% += 1
         c%(i% - l%) -= 1
       ENDWHILE
     NEXT
     ENDPROC</lang>

Output:

       -31         0         1         2         2         4        65        83        99       782

C

<lang c>#include <stdio.h>

  1. include <stdlib.h>

void counting_sort_mm(int *array, int n, int min, int max) {

 int i, j, z;
 int range = max - min + 1;
 int *count = malloc(range * sizeof(*array));
 for(i = 0; i < range; i++) count[i] = 0;
 for(i = 0; i < n; i++) count[ array[i] - min ]++;
 for(i = min, z = 0; i <= max; i++) {
   for(j = 0; j < count[i - min]; j++) {
     array[z++] = i;
   }
 } 
 free(count);

}

void counting_sort(int *array, int n) {

 int i, min, max;
 
 min = max = array[0];
 for(i=1; i < n; i++) {
   if ( array[i] < min ) {
     min = array[i];
   } else if ( array[i] > max ) {
     max = array[i];
   }
 }

}</lang>

Testing (we suppose the oldest human being is less than 140 years old).

<lang c>#define N 100

  1. define MAX_AGE 140

int main() {

 int ages[N], i;
 for(i=0; i < N; i++) ages[i] = rand()%MAX_AGE;
 counting_sort_mm(ages, N, 0, MAX_AGE);
 for(i=0; i < N; i++) printf("%d\n", ages[i]);
 return EXIT_SUCCESS;

}</lang>

C++

<lang cpp>

  1. include <iostream>
  2. include <time.h>

//------------------------------------------------------------------------------ using namespace std;

//------------------------------------------------------------------------------ const int MAX = 30;

//------------------------------------------------------------------------------ class cSort { public:

   void sort( int* arr, int len )
   {

int mi, mx, z = 0; findMinMax( arr, len, mi, mx ); int nlen = ( mx - mi ) + 1; int* temp = new int[nlen]; memset( temp, 0, nlen * sizeof( int ) );

for( int i = 0; i < len; i++ ) temp[arr[i] - mi]++;

for( int i = mi; i <= mx; i++ ) { while( temp[i - mi] ) { arr[z++] = i; temp[i - mi]--; } }

delete [] temp;

   }

private:

   void findMinMax( int* arr, int len, int& mi, int& mx )
   {

mi = INT_MAX; mx = 0; for( int i = 0; i < len; i++ ) { if( arr[i] > mx ) mx = arr[i]; if( arr[i] < mi ) mi = arr[i]; }

   }

}; //------------------------------------------------------------------------------ int main( int argc, char* argv[] ) {

   srand( time( NULL ) ); int arr[MAX];
   for( int i = 0; i < MAX; i++ )

arr[i] = rand() % 140 - rand() % 40 + 1;

   for( int i = 0; i < MAX; i++ )

cout << arr[i] << ", ";

   cout << endl << endl;

   cSort s; s.sort( arr, MAX );

   for( int i = 0; i < MAX; i++ )

cout << arr[i] << ", ";

   cout << endl << endl;

   return system( "pause" );

} //------------------------------------------------------------------------------ </lang>

Output:
105, -21, 20, 5, 3, 25, 101, 116, 82, 5, 88, 80, -9, 26, 62, 118, 131, -31, 3, 3
8, 40, -6, 46, 90, 7, 59, 104, 76, 12, 79,

-31, -21, -9, -6, 3, 3, 5, 5, 7, 12, 20, 25, 26, 38, 40, 46, 59, 62, 76, 79, 80,
 82, 88, 90, 101, 104, 105, 116, 118, 131,

Alternate version

Uses C++11. Compile with

g++ -std=c++11 counting.cpp

<lang cpp>#include <algorithm>

  1. include <iterator>
  2. include <iostream>
  3. include <vector>

template<typename ForwardIterator> void counting_sort(ForwardIterator begin,

                                                     ForwardIterator end) {
 auto min_max = std::minmax_element(begin, end);
 if (min_max.first == min_max.second) {  // empty range
   return;
 }
 auto min = *min_max.first;
 auto max = *min_max.second;
 std::vector<unsigned> count((max - min) + 1, 0u);
 for (auto i = begin; i != end; ++i) {
   ++count[*i - min];
 }
 for (auto i = min; i <= max; ++i) {
   for (auto j = 0; j < count[i - min]; ++j) {
     *begin++ = i;
   }
 }

}

int main() {

 int a[] = {100, 2, 56, 200, -52, 3, 99, 33, 177, -199};
 counting_sort(std::begin(a), std::end(a));
 copy(std::begin(a), std::end(a), std::ostream_iterator<int>(std::cout, " "));
 std::cout << "\n";

}</lang> Output:

-199 -52 2 3 33 56 99 100 177 200

C#

<lang csharp>using System; using System.Linq;

namespace CountingSort {

   class Program
   {
       static void Main(string[] args)
       {
           Random rand = new Random();                                   // Just for creating a test array
           int[] arr = new int[100];                                     // of random numbers
           for (int i = 0; i < 100; i++) { arr[i] = rand.Next(0, 100); } // ...
           int[] newarr = countingSort(arr, arr.Min(), arr.Max());
       }
       private static int[] countingSort(int[] arr, int min, int max)
       {
           int[] count = new int[max - min + 1];
           int z = 0;
           for (int i = 0; i < count.Length; i++) { count[i] = 0; }
           for (int i = 0; i < arr.Length; i++) { count[arr[i] - min]++; }           
           for (int i = min; i <= max; i++)
           {
               while (count[i - min]-- > 0)
               {
                   arr[z] = i;
                   z++;                    
               }
           }
           return arr;
       }
   }

}</lang>

Common Lisp

Straightforward implementation of counting sort. By using map and map-into, counting sort can work efficiently on both lists and vectors. The closure given as the second argument to map-into returns the sorted elements of sequence. Because map-into will only call the function as many times as necessary to re-populate sequence, there is no need for bounds checking. counts is declared to have dynamic-extent and so a compiler might stack allocate it.

<lang lisp>(defun counting-sort (sequence &optional (min (reduce #'min sequence))

                                        (max (reduce #'max sequence)))
 (let ((i 0)
       (counts (make-array (1+ (- max min)) :initial-element 0
                                            :element-type `(integer 0 ,(length sequence)))))
   (declare (dynamic-extent counts))
   (map nil (lambda (n) (incf (aref counts (- n min)))) sequence)
   (map-into sequence (lambda ()
                        (do () ((plusp (aref counts i)))
                          (incf i))
                        (decf (aref counts i))
                        (+ i min)))))</lang>

D

<lang d>import std.stdio, std.algorithm;

void countingSort(int[] array, in size_t min, in size_t max) pure nothrow {

   auto count = new int[max - min + 1];
   foreach (number; array)
       count[number - min]++;
   size_t z = 0;
   foreach (i; min .. max + 1)
       while (count[i - min] > 0) {
           array[z] = i;
           z++;
           count[i - min]--;
       }

}

void main() {

   auto data = [9, 7, 10, 2, 9, 7, 4, 3, 10, 2, 7, 10, 2, 1, 3, 8,
                7, 3, 9, 5, 8, 5, 1, 6, 3, 7, 5, 4, 6, 9, 9, 6, 6,
                10, 2, 4, 5, 2, 8, 2, 2, 5, 2, 9, 3, 3, 5, 7, 8, 4];
   int dataMin = reduce!min(data);
   int dataMax = reduce!max(data);
   countingSort(data, dataMin, dataMax);
   assert(isSorted(data));

}</lang>

E

Straightforward implementation, no particularly interesting characteristics.

<lang e>def countingSort(array, min, max) {

   def counts := ([0] * (max - min + 1)).diverge()
   for elem in array {
       counts[elem - min] += 1
   }
   var i := -1
   for offset => count in counts {
       def elem := min + offset
       for _ in 1..count {
           array[i += 1] := elem
       }
   }

}</lang>

? def arr := [34,6,8,7,4,3,56,7,8,4,3,5,7,8,6,4,4,67,9,0,0,76,467,453,34,435,37,4,34,234,435,3,2,7,4,634,534,735,5,4,6,78,4].diverge()
# value: [34, 6, 8, 7, 4, 3, 56, 7, 8, 4, 3, 5, 7, 8, 6, 4, 4, 67, 9, 0, 0, 76, 467, 453, 34, 435, 37, 4, 34, 234, 435, 3, 2, 7, 4, 634, 534, 735, 5, 4, 6, 78, 4].diverge()

? countingSort(arr, 0, 735)
? arr
# value: [0, 0, 2, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 9, 34, 34, 34, 37, 56, 67, 76, 78, 234, 435, 435, 453, 467, 534, 634, 735].diverge()


Eiffel

<lang Eiffel>

class COUNTING_SORT

feature

sort (ar: ARRAY [INTEGER]; min, max: INTEGER): ARRAY [INTEGER] -- Sorted Array in ascending order. require ar_not_void: ar /= Void lowest_index_zero: ar.lower = 0 local count: ARRAY [INTEGER] i, j, z: INTEGER do create Result.make_empty Result.deep_copy (ar) create count.make_filled (0, 0, max - min) from i := 0 until i = Result.count loop count [Result [i] - min] := count [Result [i] - min] + 1 i := i + 1 end z := 0 from i := min until i > max loop from j := 0 until j = count [i - min] loop Result [z] := i z := z + 1 j := j + 1 end i := i + 1 end ensure Result_is_sorted: is_sorted (Result) end

feature {NONE}

is_sorted (ar: ARRAY [INTEGER]): BOOLEAN --- Is 'ar' sorted in ascending order? require ar_not_empty: ar.is_empty = False local i: INTEGER do Result := True from i := ar.lower until i = ar.upper loop if ar [i] > ar [i + 1] then Result := False end i := i + 1 end end

end </lang> TEST: <lang Eiffel> class APPLICATION

create make

feature

make do create test.make_filled (0, 0, 5) test [0] := -7 test [1] := 4 test [2] := 2 test [3] := 6 test [4] := 1 test [5] := 3 io.put_string ("unsorted:%N") across test as t loop io.put_string (t.item.out + "%T") end io.new_line io.put_string ("sorted:%N") create count test := count.sort (test, -7, 6) across test as ar loop io.put_string (ar.item.out + "%T") end end

count: COUNTING_SORT

test: ARRAY [INTEGER]

end

</lang>

Output:
unsorted:
-7 4 2 6 1 3
sorted:
-7 1 2 3 4 6

Fortran

Works with: Fortran version 95 and later

<lang fortran>module CountingSort

 implicit none
 interface counting_sort
    module procedure counting_sort_mm, counting_sort_a
 end interface

contains

 subroutine counting_sort_a(array)
   integer, dimension(:), intent(inout) :: array
   call counting_sort_mm(array, minval(array), maxval(array))
 end subroutine counting_sort_a
 subroutine counting_sort_mm(array, tmin, tmax)
   integer, dimension(:), intent(inout) :: array
   integer, intent(in) :: tmin, tmax
   integer, dimension(tmin:tmax) :: cnt
   integer :: i, z
   forall(i=tmin:tmax)
      cnt(i) = count(array == i)
   end forall
   z = 1
   do i = tmin, tmax
      do while ( cnt(i) > 0 )
         array(z) = i
         z = z + 1
         cnt(i) = cnt(i) - 1
      end do
   end do
 end subroutine counting_sort_mm

end module CountingSort</lang>

Testing:

<lang fortran>program test

 use CountingSort
 implicit none
 integer, parameter :: n = 100, max_age = 140
 real, dimension(n) :: t
 integer, dimension(n) :: ages
 call random_number(t)
 ages = floor(t * max_age)
 call counting_sort(ages, 0, max_age)
 write(*,'(I4)') ages

end program test</lang>

Go

This version follows the task pseudocode above, with one more optimization. <lang go>package main

import (

   "fmt"
   "runtime"
   "strings"

)

var a = []int{170, 45, 75, -90, -802, 24, 2, 66} var aMin, aMax = -1000, 1000

func main() {

   fmt.Println("before:", a)
   countingSort(a, aMin, aMax)
   fmt.Println("after: ", a)

}

func countingSort(a []int, aMin, aMax int) {

   defer func() {
       if x := recover(); x != nil {
           // one error we'll handle and print a little nicer message
           if _, ok := x.(runtime.Error); ok &&
               strings.HasSuffix(x.(error).Error(), "index out of range") {
               fmt.Printf("data value out of range (%d..%d)\n", aMin, aMax)
               return
           }
           // anything else, we re-panic
           panic(x)
       }
   }()
   count := make([]int, aMax-aMin+1)
   for _, x := range a {
       count[x-aMin]++
   }
   z := 0
   // optimization over task pseudocode:   variable c is used instead of
   // count[i-min].  This saves some unneccessary calculations.
   for i, c := range count {
       for ; c > 0; c-- {
           a[z] = i + aMin
           z++
       }
   }

}</lang> This version follows the WP pseudocode. It can be adapted to sort items other than integers. <lang go>package main

import (

   "fmt"
   "runtime"
   "strings"

)

var a = []int{170, 45, 75, -90, -802, 24, 2, 66} var aMin, aMax = -1000, 1000

func main() {

   fmt.Println("before:", a)
   countingSort(a, aMin, aMax)
   fmt.Println("after: ", a)

}

func countingSort(a []int, aMin, aMax int) {

   defer func() {
       if x := recover(); x != nil {
           // one error we'll handle and print a little nicer message
           if _, ok := x.(runtime.Error); ok &&
               strings.HasSuffix(x.(error).Error(), "index out of range") {
               fmt.Printf("data value out of range (%d..%d)\n", aMin, aMax)
               return
           }
           // anything else, we re-panic
           panic(x)
       }
   }()
   // WP algorithm
   k := aMax - aMin // k is maximum key value. keys range 0..k
   count := make([]int, k+1)
   key := func(v int) int { return v - aMin }
   for _, x := range a {
       count[key(x)]++
   }
   total := 0
   for i, c := range count {
       count[i] = total
       total += c
   }
   output := make([]int, len(a))
   for _, x := range a {
       output[count[key(x)]] = x
       count[key(x)]++
   }
   copy(a, output)

}</lang>

Groovy

Solution: <lang groovy>def countingSort = { array ->

   def max = array.max()
   def min = array.min()
   // this list size allows use of Groovy's natural negative indexing
   def count = [0] * (max + 1 + [0, -min].max())
   array.each { count[it] ++ }
   (min..max).findAll{ count[it] }.collect{ [it]*count[it] }.flatten()

}</lang>

Test: <lang groovy>println countingSort([23,76,99,58,97,57,35,89,51,38,95,92,24,46,31,24,14,12,57,78,4]) println countingSort([88,18,31,44,4,0,8,81,14,78,20,76,84,33,73,75,82,5,62,70,12,7,1])

println countingSort([15,-3,0,-1,5,4,5,20,-8]) println countingSort([34,6,8,7,4,3,56,7,8,4,3,5,7,8,6,4,4,67,9,0,0,76,467,453,34,435,37,4,34,234,435,3,2,7,4,634,534,-735,5,4,6,78,4]) // slo-o-o-o-ow due to unnecessarily large counting array println countingSort([10000033,10000006,10000008,10000009,10000013,10000031,10000013,10000032,10000023,10000023,10000011,10000012,10000021])</lang>

Output:

[4, 12, 14, 23, 24, 24, 31, 35, 38, 46, 51, 57, 57, 58, 76, 78, 89, 92, 95, 97, 99]
[0, 1, 4, 5, 7, 8, 12, 14, 18, 20, 31, 33, 44, 62, 70, 73, 75, 76, 78, 81, 82, 84, 88]
[-8, -3, -1, 0, 4, 5, 5, 15, 20]
[-735, 0, 0, 2, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 9, 34, 34, 34, 37, 56, 67, 76, 78, 234, 435, 435, 453, 467, 534, 634]
[10000006, 10000008, 10000009, 10000011, 10000012, 10000013, 10000013, 10000021, 10000023, 10000023, 10000031, 10000032, 10000033]

Haskell

We use lists for input and output rather than arrays, since lists are used more often in Haskell.

<lang haskell>import Data.Array

countingSort :: (Ix n) => [n] -> n -> n -> [n] countingSort l lo hi = concatMap (uncurry $ flip replicate) count

 where count = assocs . accumArray (+) 0 (lo, hi) . map (\i -> (i, 1)) $ l</lang>

Io

Translation of: Java

<lang io>List do(

   countingSort := method(min, max,
       count := list() setSize(max - min + 1) mapInPlace(0)
       foreach(x,
           count atPut(x - min, count at(x - min) + 1)
       )
       j := 0
       for(i, min, max,
           while(count at(i - min) > 0,
               atPut(j, i)
               count atPut(i - min, at(i - min) - 1)
               j = j + 1
           )
       )
   self)
   countingSortInPlace := method(
       countingSort(min, max)
   )

)

l := list(2, 3, -4, 5, 1) l countingSortInPlace println # ==> list(-4, 1, 2, 3, 5)</lang>

A more functional-like version: <lang io>List do(

   fill := method(x, size,
       /* Resizes list to a given size and fills it with a given value. */
       setSize(size) mapInPlace(x)
   )
   countingSort := method(min, max,
       count := list() fill(0, max - min + 1)
       foreach(x,
           count atPut(x - min, count at(x - min) + 1)
       )
       return count map(i, x, list() fill(i + min, x)) \
           prepend(list()) reduce(xs, x, xs appendSeq(x))
   )
   countingSortInPlace := method(
       copy(countingSort(min, max))
   )

)

l := list(2, 3, -4, 5, 1) l countingSortInPlace println # ==> list(-4, 1, 2, 3, 5)</lang>

Icon and Unicon

The following example is hopefully in the spirit of a counting sort using a hash table as a substituted for a sparse array. Simply translating the pseudo-code would be very un-Iconish (as opposed to Uniconish).

<lang Icon>procedure main() #: demonstrate various ways to sort a list and string

  write("Sorting Demo using ",image(countingsort))                
  writes("  on list : ")
  writex(UL)
  displaysort(countingsort,copy(UL))           

end

procedure countingsort(X) #: return sorted list (integers only) local T,lower,upper

  T := table(0)                                         # hash table as sparse array
  lower := upper := X[1]
  every x := !X do {
     if not ( integer(x) = x ) then runerr(x,101)       # must be integer
     lower >:= x                                        # minimum
     upper <:= x                                        # maximum
     T[x] +:= 1                                         # record x's and duplicates
     }
  every put(X := [],( 1 to T[i := lower to upper], i) ) # reconstitute with correct order and count
  return X

end</lang>

Note: This example relies on the supporting procedures 'display sort', and 'writex' from Bubble Sort.

Sample output:

Sorting Demo using procedure countingsort
  on list : [ 3 14 1 5 9 2 6 3 ]
    with op = &null:         [ 1 2 3 3 5 6 9 14 ]   (0 ms)

J

Generally, this task should be accomplished in J using /:~. Here we take an approach that's more comparable with the other examples on this page.

<lang j>csort =: monad define

 min =. <./y
 cnt =. 0 $~ 1+(>./y)-min
 for_a. y do.
   cnt =. cnt >:@{`[`]}~ a-min
 end.
 cnt # min+i.#cnt

)</lang>

Alternative implementation:

<lang j>csort=: (+/@(=/) # ]) >./ (] + 1 i.@+ -) <./</lang>


Example: <lang j> ] a =. _3 + 20 ?@$ 10 _2 _2 6 _1 1 6 _1 4 4 1 4 4 5 _3 5 3 0 _1 3 4

  csort a

_3 _2 _2 _1 _1 _1 0 1 1 3 3 4 4 4 4 4 5 5 6 6</lang>

And note that this can be further simplified if the range is known in advance (which could easily be the case -- this sorting mechanism is practical when we have a small fixed range of values that we are sorting). Here, we do not need to inspect the data to find min and max values, since they are already known:

<lang j>csrt=:2 :0

 (m+i.n-m) (+/@(=/)~ # [) ]

)</lang>

or

<lang j>csrt=:2 :0

  (+/@(=/) # ])&(m+i.n-m)

)</lang>

Example:

<lang j> (_3 csrt 17) a _3 _2 _2 _1 _1 _1 0 1 1 3 3 4 4 4 4 4 5 5 6 6</lang>

Java

Works with: Java version 1.5+

<lang java5>public static void countingSort(int[] array, int min, int max){ int[] count= new int[max - min + 1]; for(int number : array){ count[number - min]++; } int z= 0; for(int i= min;i <= max;i++){ while(count[i - min] > 0){ array[z]= i; z++; count[i - min]--; } } }</lang>

JavaScript

<lang javascript>var countSort = function(arr, min, max) {

   var i, z = 0, count = [];
   
   for (i = min; i <= max; i++) {
       count[i] = 0;
   }
   
   for (i=0; i < arr.length; i++) {
       count[arr[i]]++;
   }
   
   for (i = min; i <= max; i++) {
       while (count[i]-- > 0) {
           arr[z++] = i;
       }
   }
   

}</lang>

Testing:

<lang javascript>// Line breaks are in HTML

var i, ages = [];

for (i = 0; i < 100; i++) {

   ages.push(Math.floor(Math.random() * (141)));

}

countSort(ages, 0, 140);

for (i = 0; i < 100; i++) {

   document.write(ages[i] + "
");

}</lang>

jq

Works with: jq version 1.4

The task description points out the disadvantage of using an array to hold the counts, so in the following implementation, a JSON object is used instead. This ensures the space requirement is just O(length). In jq, this approach is both time and space efficient, except for the small cost of converting integers to strings, which is necessary because JSON keys must be strings. <lang jq>def countingSort(min; max):

 . as $in
 | reduce range(0;length) as $i
     ( {};
       ($in[$i]|tostring) as $s | .[$s] += 1 # courtesy of the fact that in jq, (null+1) is 1
     )
 | . as $hash
 # now construct the answer:
 | reduce range(min; max+1) as $i
     ( [];
       ($i|tostring) as $s
       | if $hash[$s] == null then .
         else reduce range(0; $hash[$s]) as $j (.; . + [$i])
         end 
     );</lang>

Example: <lang jq> [1,2,1,4,0,10] | countingSort(0;10)</lang>

Output:

<lang sh> $ jq -M -c -n -f counting_sort.jq [0,1,1,2,4,10]</lang>

Julia

This is a translation of the pseudocode presented in the task description, accounting for the fact that Julia arrays start indexing at 1 rather than zero and taking care to return a result of the same type as the input. Note that cnt has the machine's standard integer type (typically Int64), which need not match that of the input.

<lang Julia> function countsort{T<:Integer}(a::Array{T,1})

   (lo, hi) = extrema(a)
   b = zeros(T, length(a))
   cnt = zeros(Int, hi - lo + 1)
   for i in a
       cnt[i - lo + 1] += 1
   end
   z = one(Int)
   for i in lo:hi
       while cnt[i - lo + 1] > 0
           b[z] = i
           z += 1
           cnt[i - lo + 1] -= 1
       end
   end
   return b

end

a = Uint8[rand(1:typemax(Uint8)) for i in 1:20] println("Sort of Unsigned Bytes:") println(" Before Sort:") println(" ", a) a = countsort(a) println("\n After Sort:") println(" ", a, "\n")

a = [rand(1:2^10) for i in 1:20] println("Sort of Integers:") println(" Before Sort:") println(" ", a) a = countsort(a) println("\n After Sort:") println(" ", a) <lang>

Output:
Sort of Unsigned Bytes:
    Before Sort:
    Uint8[141,195,133,61,53,93,76,86,112,83,106,56,50,104,162,183,33,180,59,91]

    After Sort:
    Uint8[33,50,53,56,59,61,76,83,86,91,93,104,106,112,133,141,162,180,183,195]

Sort of Integers:
    Before Sort:
    [961,781,70,916,1013,208,80,402,148,459,264,384,5,713,100,725,397,701,218,211]

    After Sort:
    [5,70,80,100,148,208,211,218,264,384,397,402,459,701,713,725,781,916,961,1013]

Lua

<lang lua>function CountingSort( f )

   local min, max = math.min( unpack(f) ), math.max( unpack(f) )
   local count = {}
   for i = min, max do
       count[i] = 0
   end
   
   for i = 1, #f do
       count[ f[i] ] = count[ f[i] ] + 1
   end
   
   local z = 1
   for i = min, max do
       while count[i] > 0 do
           f[z] = i
           z = z + 1
           count[i] = count[i] - 1
       end
   end
   

end


f = { 15, -3, 0, -1, 5, 4, 5, 20, -8 }

CountingSort( f )

for i in next, f do

   print( f[i] )

end</lang>

M4

<lang M4>divert(-1)

define(`randSeed',141592653) define(`setRand',

  `define(`randSeed',ifelse(eval($1<10000),1,`eval(20000-$1)',`$1'))')

define(`rand_t',`eval(randSeed^(randSeed>>13))') define(`random',

  `define(`randSeed',eval((rand_t^(rand_t<<18))&0x7fffffff))randSeed')

define(`set',`define(`$1[$2]',`$3')') define(`get',`defn(`$1[$2]')') define(`new',`set($1,size,0)') define(`append',

  `set($1,size,incr(get($1,size)))`'set($1,get($1,size),$2)')

define(`deck',

  `new($1)for(`x',1,$2,
        `append(`$1',eval(random%$3))')')

define(`for',

  `ifelse($#,0,``$0,
  `ifelse(eval($2<=$3),1,
  `pushdef(`$1',$2)$4`'popdef(`$1')$0(`$1',incr($2),$3,`$4')')')')

define(`show',

  `for(`x',1,get($1,size),`get($1,x) ')')

define(`countingsort',

  `for(`x',$2,$3,`set(count,x,0)')`'for(`x',1,get($1,size),
     `set(count,get($1,x),incr(get(count,get($1,x))))')`'define(`z',
     1)`'for(`x',$2,$3,
        `for(`y',1,get(count,x),
           `set($1,z,x)`'define(`z',incr(z))')')')

divert deck(`a',10,100) show(`a') countingsort(`a',0,99) show(`a')</lang>

Mathematica

<lang Mathematica>countingSort[list_] := Module[{minElem, maxElem, count, z, number},

 minElem = Min[list]; maxElem = Max[list];
 count = ConstantArray[0, (maxElem - minElem + 1)];
 For[number = 1, number < Length[list], number++, 
  countnumber - minElem + 1 = countnumber - minElem + 1 + 1;] ;
 z = 1;
 For[i = minElem, i < maxElem, i++, 
  While[counti - minElem + 1 > 0,
   listz = i; z++;
   counti - minElem + 1 = counti - minElem + 1 - 1;]
  ];   
 ]</lang>
countingSort@{2, 3, 1, 5, 7, 6}
->{1, 2, 3, 5, 6, 7}

MATLAB / Octave

This is a direct translation of the pseudo-code, except to compensate for MATLAB using 1 based arrays.

<lang MATLAB>function list = countingSort(list)

   minElem = min(list);
   maxElem = max(list);
   
   count = zeros((maxElem-minElem+1),1);
   
   for number = list
       count(number - minElem + 1) = count(number - minElem + 1) + 1;
   end
   
   z = 1;
   
   for i = (minElem:maxElem)     
       while( count(i-minElem +1) > 0)
           list(z) = i;
           z = z+1;
           count(i - minElem + 1) = count(i - minElem + 1) - 1;
       end
   end
   

end %countingSort</lang>

Sample Usage: <lang MATLAB>>> countingSort([4 3 1 5 6 2])

ans =

    1     2     3     4     5     6</lang>

MAXScript

<lang MAXScript> fn countingSort arr = ( if arr.count < 2 do return arr local minVal = amin arr local maxVal = amax arr local count = for i in 1 to (maxVal-minVal+1) collect 0 for i in arr do ( count[i-minVal+1] = count[i-minVal+1] + 1 ) local z = 1 for i = minVal to maxVal do ( while (count[i-minVal+1]>0) do ( arr[z] = i z += 1 count[i-minVal+1] = count[i-minVal+1] - 1 )

) return arr )</lang>

Output:

<lang MAXScript> a = for i in 1 to 15 collect random 1 30

  1. (7, 1, 6, 16, 27, 11, 24, 16, 25, 11, 22, 7, 28, 15, 17)

countingSort a

  1. (1, 6, 7, 7, 11, 11, 15, 16, 16, 17, 22, 24, 25, 27, 28)

</lang>

Modula-3

<lang modula3>MODULE Counting EXPORTS Main;

IMPORT IO, Fmt;

VAR test := ARRAY [1..8] OF INTEGER {80, 10, 40, 60, 50, 30, 20, 70};

PROCEDURE Sort(VAR a: ARRAY OF INTEGER; min, max: INTEGER) =

 VAR range := max - min + 1;
     count := NEW(REF ARRAY OF INTEGER, range);
     z := 0;
 BEGIN
   FOR i := FIRST(count^) TO LAST(count^) DO
     count[i] := 0;
   END;
   FOR i := FIRST(a) TO LAST(a) DO
     INC(count[a[i] - min]);
   END;
   FOR i := min TO max DO
     WHILE (count[i - min] > 0) DO
       a[z] := i;
       INC(z);
       DEC(count[i - min]);
     END;
   END;
 END Sort;

BEGIN

 IO.Put("Unsorted: ");
 FOR i := FIRST(test) TO LAST(test) DO
   IO.Put(Fmt.Int(test[i]) & " ");
 END;
 IO.Put("\n");
 Sort(test, 10, 80);
 IO.Put("Sorted: ");
 FOR i := FIRST(test) TO LAST(test) DO
   IO.Put(Fmt.Int(test[i]) & " ");
 END;
 IO.Put("\n");

END Counting.</lang> Output:

Unsorted: 80 10 40 60 50 30 20 70 
Sorted: 10 20 30 40 50 60 70 80 

NetRexx

Version 1

An almost direct implementation of the pseudocode. <lang NetRexx>/* NetRexx */ options replace format comments java crossref savelog symbols binary

import java.util.List

icounts = [int -

     1,   3,   6,   2,   7,  13,  20,  12,  21,  11 -
 ,  22,  10,  23,   9,  24,   8,  25,  43,  62,  42 - 
 ,  63,  41,  18,  42,  17,  43,  16,  44,  15,  45 -
 ,  14,  46,  79, 113,  78, 114,  77,  39,  78,  38 -

] scounts = int[icounts.length]

System.arraycopy(icounts, 0, scounts, 0, icounts.length) lists = [ -

    icounts -
 ,  countingSort(scounts) -

]

loop ln = 0 to lists.length - 1

 cl = lists[ln]
 rep = Rexx()
 loop ct = 0 to cl.length - 1
   rep = rep cl[ct]
   end ct
   say '['rep.strip.changestr(' ', ',')']'
 end ln

return

method getMin(array = int[]) public constant binary returns int

 amin = Integer.MAX_VALUE
 loop x_ = 0 to array.length - 1
   if array[x_] < amin then
     amin = array[x_]
   end x_
 return amin

method getMax(array = int[]) public constant binary returns int

 amax = Integer.MIN_VALUE
 loop x_ = 0 to array.length - 1
   if array[x_] > amax then
     amax = array[x_]
   end x_
 return amax

method countingSort(array = int[], amin = getMin(array), amax = getMax(array)) public constant binary returns int[]

 count = int[amax - amin + 1]
 loop nr = 0 to array.length - 1
   numbr = array[nr]
   count[numbr - amin] = count[numbr - amin] + 1
   end nr
 z_ = 0
 loop i_ = amin to amax
   loop label count while count[i_ - amin] > 0
     array[z_] = i_
     z_ = z_ + 1
     count[i_ - amin] = count[i_ - amin] - 1
     end count
   end i_
 return array

</lang>

Output:
[1,3,6,2,7,13,20,12,21,11,22,10,23,9,24,8,25,43,62,42,63,41,18,42,17,43,16,44,15,45,14,46,79,113,78,114,77,39,78,38]
[1,2,3,6,7,8,9,10,11,12,13,14,15,16,17,18,20,21,22,23,24,25,38,39,41,42,42,43,43,44,45,46,62,63,77,78,78,79,113,114]

Version 2

A more Rexx-like (and shorter) version. Due to NetRexx's built in indexed string capability, negative values are also easily supported. <lang NetRexx>/* NetRexx */ options replace format comments java crossref symbols nobinary

runSample(arg) return

-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method countingSort(icounts) public constant

 parse getMinMax(icounts) amin amax
 array = 0
 loop ix = 1 to icounts.words
   iw = icounts.word(ix) + 0
   array[iw] = array[iw] + 1
   end ix
 ocounts = 
 loop ix = amin to amax
   if array[ix] = 0 then iterate ix
   loop for array[ix]
     ocounts = ocounts ix
     end
   end ix
 return ocounts.space

-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method getMinMax(icounts) public constant

 amin = Long.MAX_VALUE
 amax = Long.MIN_VALUE
 loop x_ = 1 to icounts.words
   amin = icounts.word(x_).min(amin)
   amax = icounts.word(x_).max(amax)
   end x_
 return amin amax

-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method runSample(arg) public static parse arg icounts if icounts = then -

 icounts = - 
   ' 1   3   6   2   7  13  20  12  21  11  22  10  23   9  24   8  25  43  62  42' - 
   '63  41  18  42  17  43  16  44  15  45  14  46  79 113  78 114  77  39  78  38' -
   '0  -200 -6  -10 -0' -
   

say icounts.space say countingSort(icounts)

return </lang>

Output:
1 3 6 2 7 13 20 12 21 11 22 10 23 9 24 8 25 43 62 42 63 41 18 42 17 43 16 44 15 45 14 46 79 113 78 114 77 39 78 38 0 -200 -6 -10 -0
-200 -10 -6 0 0 1 2 3 6 7 8 9 10 11 12 13 14 15 16 17 18 20 21 22 23 24 25 38 39 41 42 42 43 43 44 45 46 62 63 77 78 78 79 113 114

Nim

<lang nim>proc countingSort[T](a: var openarray[T]; min, max: int) =

 let range = max - min + 1
 var count = newSeq[T](range)
 var z = 0
 for i in 0 .. < a.len: inc count[a[i] - min]
 for i in min .. max:
   for j in 0 ..  <count[i - min]:
     a[z] = i
     inc z

var a = @[5, 3, 1, 7, 4, 1, 1, 20] countingSort(a, 1, 20) echo a</lang> Output:

@[1, 1, 1, 3, 4, 5, 7, 20]

Objeck

<lang objeck> bundle Default {

 class Cocktail {
   function : Main(args : String[]) ~ Nil {
     values := [9, 7, 10, 2, 9, 7, 4, 3, 10, 2, 7, 10];
     CountingSort(values, 2, 10);
     each(i : values) {
       values[i]->PrintLine();
     };
   }
     
   function : CountingSort(array : Int[], min : Int, max : Int) ~ Nil {
     count := Int->New[max - min + 1];
     each(i : array) {
       number := array[i];
       v := count[number - min];
       count[number - min] := v + 1;
     };
 
     z := 0;
     for(i := min; i <= max; i += 1;) {
       while(count[i - min] > 0) {  
         array[z] := i;
         z += 1;
         v := count[i - min]
         count[i - min] := v - 1;          
       };
     };      
   }
 }

} </lang>

OCaml

For arrays: <lang ocaml>let counting_sort_array arr lo hi =

 let count = Array.make (hi-lo+1) 0 in
   Array.iter (fun i -> count.(i-lo) <- count.(i-lo) + 1) arr;
   Array.concat (Array.to_list (Array.mapi (fun i x -> Array.make x (lo+i)) count))</lang>

Octave

This implements the same algorithm but in a more compact way (using the same loop to count and to update the sorted vector). This implementation is elegant (and possible since the sort is not done "in place"), but not so efficient on machines that can't parallelize some operations (the vector arr is scanned for every value between minval and maxval) <lang octave>function r = counting_sort(arr, minval, maxval)

 r = arr;
 z = 1;
 for i = minval:maxval
   cnt = sum(arr == i);
   while( cnt-- > 0 )
     r(z++) = i;
   endwhile
 endfor

endfunction</lang>

Testing:

<lang octave>ages = unidrnd(140, 100, 1); sorted = counting_sort(ages, 0, 140); disp(sorted);</lang>

Oz

Using arrays as in the original algorithm. The implementation is slightly simpler because arrays can start with an arbitrary index in Oz. <lang oz>declare

 proc {CountingSort Arr Min Max}
    Count = {Array.new Min Max 0}
    Z = {NewCell {Array.low Arr}}
 in
    %% fill frequency array
    for J in {Array.low Arr}..{Array.high Arr} do
       Number = Arr.J
    in
       Count.Number := Count.Number + 1
    end
    %% recreate array from frequencies
    for I in Min..Max do
       for C in 1..Count.I do
 	 Arr.(@Z) := I
 	 Z := @Z + 1
       end
    end
 end
 A = {Tuple.toArray unit(3 1 4 1 5 9 2 6 5)}

in

 {CountingSort A 1 9}
 {Show {Array.toRecord unit A}}</lang>

Using lists for input and output and a dictionary as a sparse array: <lang oz>declare

 fun {CountingSort Xs}
    Count = {Dictionary.new}
 in
    for X in Xs do
       Count.X := {CondSelect Count X 0} + 1
    end
    {Concat {Map {Dictionary.entries Count} Repeat}}
 end
 fun {Repeat Val#Count}
    if Count == 0 then nil
    else Val|{Repeat Val#Count-1}
    end
 end
 fun {Concat Xs}
    {FoldR Xs Append nil}
 end

in

 {Show {CountingSort [3 1 4 1 5 9 2 6 5]}}</lang>

PARI/GP

<lang parigp>countingSort(v,mn,mx)={

 my(u=vector(#v),i=0);
 for(n=mn,mx,
   for(j=1,#v,if(v[j]==n,u[i++]=n))
 );
 u

};</lang>

Pascal

<lang pascal>program CountingSort;

procedure counting_sort(var arr : Array of Integer; n, min, max : Integer); var

  count   : Array of Integer;
  i, j, z : Integer;

begin

  SetLength(count, max-min);
  for i := 0 to (max-min) do
     count[i] := 0;
  for i := 0 to (n-1) do
     count[ arr[i] - min ] := count[ arr[i] - min ] + 1;
  z := 0;
  for i := min to max do
     for j := 0 to (count[i - min] - 1) do begin

arr[z] := i; z := z + 1

     end

end;

var

  ages	: Array[0..99] of Integer;
  i	: Integer;
  

begin

  { testing }
  for i := 0 to 99 do
     ages[i] := 139 - i;
  counting_sort(ages, 100, 0, 140);
  for i := 0 to 99 do
     writeln(ages[i]);

end.</lang>

Perl

<lang perl>#! /usr/bin/perl use strict;

sub counting_sort {

   my ($a, $min, $max) = @_;

   my @cnt = (0) x ($max - $min + 1);
   $cnt[$_ - $min]++ foreach @$a;

   my $i = $min;
   @$a = map {($i++) x $_} @cnt;

}</lang>

Testing:

<lang perl>my @ages = map {int(rand(140))} 1 .. 100;

counting_sort(\@ages, 0, 140); print join("\n", @ages), "\n";</lang>

Perl 6

<lang perl6>sub counting-sort (@ints) {

   my $off = @ints.min;
   (my @counts)[$_ - $off]++ for @ints;
   @counts.kv.map: { ($^k + $off) xx ($^v // 0) }

}</lang> Testing: <lang perl6>constant @age-range = 2 .. 102; my @ages = @age-range.roll(50); say @ages.&counting-sort ~~ @ages.sort ?? 'ok' !! 'not ok';</lang>

Output:
ok

PHP

<lang php><?php

function counting_sort($arr, $min, $max) {

 $count = array();
 for($i = $min; $i <= $max; $i++)
 {
   $count[$i] = 0;
 }
 foreach($arr as $number)
 {
   $count[$number]++; 
 }
 $z = 0;
 for($i = $min; $i <= $max; $i++) {
   while( $count[$i]-- > 0 ) {
     $arr[$z++] = $i;
   }
 }

}</lang>

Testing:

<lang php>$ages = array(); for($i=0; $i < 100; $i++) {

 array_push($ages, rand(0, 140));

} counting_sort(&$ages, 0, 140);

for($i=0; $i < 100; $i++) {

 echo $ages[$i] . "\n";

} ?></lang>

PicoLisp

<lang PicoLisp>(de countingSort (Lst Min Max)

  (let Count (need (- Max Min -1) 0)
     (for N Lst
        (inc (nth Count (- N Min -1))) )
     (make
        (map
           '((C I)
              (do (car C) (link (car I))) )
           Count
           (range Min Max) ) ) ) )</lang>

Output:

: (countingSort (5 3 1 7 4 1 1 20) 1 20)
-> (1 1 1 3 4 5 7 20)

PL/I

<lang PL/I>count_sort: procedure (A);

  declare A(*) fixed;
  declare (min, max) fixed;
  declare i fixed binary;
  max, min = A(lbound(A,1));
  do i = 1 to hbound(A,1);
      if max < A(i) then max = A(i);
      if min > A(i) then min = A(i);
  end;
  begin;
     declare t(min:max) fixed;
     declare (i, j, k) fixed binary (31);
     t = 0;
     do i = 1 to hbound(A,1);
        j = A(i);
        t(j) = t(j) + 1;
     end;
     k = lbound(A,1);
     do i = min to max;
        if t(i) ^= 0 then
           do j = 1 to t(i);
              A(k) = i;
              k = k + 1;
           end;
     end;
  end;

end count_sort;</lang>

PureBasic

<lang PureBasic>Procedure Counting_sort(Array data_array(1), min, max)

 Define i, j
 Dim c(max - min)
 For i = 0 To ArraySize(data_array())
   c(data_array(i) - min) + 1
 Next
 For i = 0 To ArraySize(c())
   While c(i)
     data_array(j) = i + min
     j + 1
     c(i) - 1
   Wend
 Next

EndProcedure</lang>

Python

Follows the spirit of the counting sort but uses Pythons defaultdict(int) to initialize array accesses to zero, and list concatenation: <lang python>>>> from collections import defaultdict >>> def countingSort(array, mn, mx): count = defaultdict(int) for i in array: count[i] += 1 result = [] for j in range(mn,mx+1): result += [j]* count[j] return result

>>> data = [9, 7, 10, 2, 9, 7, 4, 3, 10, 2, 7, 10, 2, 1, 3, 8, 7, 3, 9, 5, 8, 5, 1, 6, 3, 7, 5, 4, 6, 9, 9, 6, 6, 10, 2, 4, 5, 2, 8, 2, 2, 5, 2, 9, 3, 3, 5, 7, 8, 4] >>> mini,maxi = 1,10 >>> countingSort(data, mini, maxi) == sorted(data) True</lang>

Using a list:

Works with: Python version 2.6

<lang python>def countingSort(a, min, max):

   cnt = [0] * (max - min + 1)
   for x in a:
       cnt[x - min] += 1

   return [x for x, n in enumerate(cnt, start=min)
             for i in xrange(n)]</lang>

R

Translation of: Octave

<lang R>counting_sort <- function(arr, minval, maxval) {

 r <- arr
 z <- 1
 for(i in minval:maxval) {
   cnt = sum(arr == i)
   while(cnt > 0) {
     r[z] = i
     z <- z + 1
     cnt <- cnt - 1
   }
 }
 r

}

  1. 140+1 instead of 140, since random numbers generated
  2. by runif are always less than the given maximum;
  3. floor(a number at most 140.9999...) is 140

ages <- floor(runif(100, 0, 140+1)) sorted <- counting_sort(ages, 0, 140) print(sorted)</lang>

Racket

<lang racket>

  1. lang racket

(define (counting-sort xs min max)

 (define ns (make-vector (+ max (- min) 1) 0))
 (for ([x xs])  (vector-set! ns (- x min) (+ (vector-ref ns (- x min)) 1)))
 (for/fold ([i 0]) ([n ns] [x (in-naturals)])
   (for ([j (in-range i (+ i n ))])
     (vector-set! xs j (+ x min)))
   (+ i n))
 xs)

(counting-sort (vector 0 9 3 8 1 -1 1 2 3 7 4) -1 10) </lang> Output: <lang racket> '#(-1 0 1 1 2 3 3 4 7 8 9) </lang>

REXX

These REXX versions make use of sparse arrays.

Negative, zero, and positive integers are supported.

version 1

<lang rexx>/*REXX program sorts an array using the count─sort algorithm. */ $=1 3 6 2 7 13 20 12 21 11 22 10 23 9 24 8 25 43 62 42 63 41 18 42 17 43 16 44 15 45 14 46 79 113 78 114 77 39 78 38

  1. =words($); do j=1 for #
                     @.j=word($,j)    /*assign a Recaman # from a list.*/
                     end   /*j*/      /* [↑]  assign 40 Recaman numbers*/

call show@ 'before sort: ' /*show the before array elements.*/ call countSort # /*sort # entries of the @. array.*/ call show@ ' after sort: ' /*show the after array elements.*/ exit /*stick a fork in it, we're done.*/ /*──────────────────────────────────COUNTSORT subroutine────────────────*/ countSort: procedure expose @.; parse arg N; L=@.1; h=L; _.=0; x=1

  do j=1  for N; z=@.j; _.z=_.z+1; L=min(L,@.j); h=max(h,@.j);  end /*j*/
  do k=L  to  h;    do x=x for _.k;  @.x=k;  end /*x*/;         end /*k*/

return /*──────────────────────────────────SHOW@ subroutine────────────────────*/ show@: do s=1 for #; say right("element",20) right(s,length(#)) arg(1) @.s

      end   /*s*/

say copies('▒',55) /*show a pretty separator line. */ return</lang> output

             element  1 before sort:  1
             element  2 before sort:  3
             element  3 before sort:  6
             element  4 before sort:  2
             element  5 before sort:  7
             element  6 before sort:  13
             element  7 before sort:  20
             element  8 before sort:  12
             element  9 before sort:  21
             element 10 before sort:  11
             element 11 before sort:  22
             element 12 before sort:  10
             element 13 before sort:  23
             element 14 before sort:  9
             element 15 before sort:  24
             element 16 before sort:  8
             element 17 before sort:  25
             element 18 before sort:  43
             element 19 before sort:  62
             element 20 before sort:  42
             element 21 before sort:  63
             element 22 before sort:  41
             element 23 before sort:  18
             element 24 before sort:  42
             element 25 before sort:  17
             element 26 before sort:  43
             element 27 before sort:  16
             element 28 before sort:  44
             element 29 before sort:  15
             element 30 before sort:  45
             element 31 before sort:  14
             element 32 before sort:  46
             element 33 before sort:  79
             element 34 before sort:  113
             element 35 before sort:  78
             element 36 before sort:  114
             element 37 before sort:  77
             element 38 before sort:  39
             element 39 before sort:  78
             element 40 before sort:  38
▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
             element  1  after sort:  1
             element  2  after sort:  2
             element  3  after sort:  3
             element  4  after sort:  6
             element  5  after sort:  7
             element  6  after sort:  8
             element  7  after sort:  9
             element  8  after sort:  10
             element  9  after sort:  11
             element 10  after sort:  12
             element 11  after sort:  13
             element 12  after sort:  14
             element 13  after sort:  15
             element 14  after sort:  16
             element 15  after sort:  17
             element 16  after sort:  18
             element 17  after sort:  20
             element 18  after sort:  21
             element 19  after sort:  22
             element 20  after sort:  23
             element 21  after sort:  24
             element 22  after sort:  25
             element 23  after sort:  38
             element 24  after sort:  39
             element 25  after sort:  41
             element 26  after sort:  42
             element 27  after sort:  42
             element 28  after sort:  43
             element 29  after sort:  43
             element 30  after sort:  44
             element 31  after sort:  45
             element 32  after sort:  46
             element 33  after sort:  62
             element 34  after sort:  63
             element 35  after sort:  77
             element 36  after sort:  78
             element 37  after sort:  78
             element 38  after sort:  79
             element 39  after sort:  113
             element 40  after sort:  114
▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒

version 2

Translation of: PL/I

<lang rexx>/* REXX ---------------------------------------------------------------

  • 13.07.2014 Walter Pachl translated from PL/I
  • --------------------------------------------------------------------*/

alist='999 888 777 1 5 13 15 17 19 21 5' Parse Var alist lo hi . Do i=1 By 1 While alist<>

 Parse Var alist a.i alist;
 lo=min(lo,a.i)
 hi=max(hi,a.i)
 End

a.0=i-1

Call show 'before count_sort' Call count_sort Call show 'after count_sort' Exit

count_sort: procedure Expose a. lo hi

 t.=0
 do i=1 to a.0
   j=a.i
   t.j=t.j+1
   end
 k=1
 do i=lo to hi
   if t.i<>0 then Do
     do j=1 to t.i
       a.k=i
       k=k+1
       end
     end
   end
 Return

show: Procedure Expose a. Parse Arg head Say head ol= Do i=1 To a.0

 ol=ol right(a.i,3)
 End

Say ol Return</lang> Output:

before count_sort
 999 888 777   1   5  13  15  17  19  21   5
after count_sort
   1   5   5  13  15  17  19  21 777 888 999

Ruby

<lang ruby>class Array

 def counting_sort!
   replace counting_sort
 end
 
 def counting_sort
   min, max = minmax
   count = Array.new(max - min + 1, 0)
   each {|number| count[number - min] += 1}
   (min..max).each_with_object([]) {|i, ary| ary.concat([i] * count[i - min])}
 end

end

ary = [9,7,10,2,9,7,4,3,10,2,7,10,2,1,3,8,7,3,9,5,8,5,1,6,3,7,5,4,6,9,9,6,6,10,2,4,5,2,8,2,2,5,2,9,3,3,5,7,8,4] p ary.counting_sort.join(",")

  1. => "1,1,2,2,2,2,2,2,2,2,3,3,3,3,3,3,4,4,4,4,5,5,5,5,5,5,6,6,6,6,7,7,7,7,7,7,8,8,8,8,9,9,9,9,9,9,10,10,10,10"

p ary = Array.new(20){rand(-10..10)}

  1. => [-3, -1, 9, -6, -8, -3, 5, -7, 4, 0, 5, 0, 2, -2, -6, 10, -10, -7, 5, -7]

p ary.counting_sort

  1. => [-10, -8, -7, -7, -7, -6, -6, -3, -3, -2, -1, 0, 0, 2, 4, 5, 5, 5, 9, 10]</lang>

Scala

<lang scala>def countSort(input: List[Int], min: Int, max: Int): List[Int] =

 input.foldLeft(Array.fill(max - min + 1)(0)) { (arr, n) => 
   arr(n - min) += 1
   arr
 }.zipWithIndex.foldLeft(List[Int]()) {
   case (lst, (cnt, ndx)) => List.fill(cnt)(ndx + min) ::: lst
 }.reverse</lang>

Sidef

<lang ruby>func counting_sort(a, min, max) {

   var cnt = ([0] * (max - min + 1));
   a.each { |i| cnt[i-min]++ };
   return cnt.map {|i| min++; [min-1] * i}.sum;

}

var a = 100.of {100.rand.int}; say counting_sort(a, 0, 100).dump;</lang>

Slate

<lang slate>s@(Sequence traits) countingSort &min: min &max: max [| counts index |

 min `defaultsTo: (s reduce: #min: `er).
 max `defaultsTo: (s reduce: #max: `er).
 counts: ((0 to: max - min) project: [| :_ | 0]).
 s do: [| :value | counts at: value - min infect: [| :count | count + 1]].
 index: 0.
 min to: max do: [| :value |
   [(counts at: value - min) isPositive]
     whileTrue:
       [s at: index put: value.
        index: index + 1.
        counts at: value - min infect: [| :val | val - 1]]
 ].
 s

].</lang>

Smalltalk

Works with: GNU Smalltalk

<lang smalltalk>OrderedCollection extend [

   countingSortWithMin: min andMax: max [

|oc z| oc := OrderedCollection new. 1 to: (max - min + 1) do: [ :n| oc add: 0 ]. self do: [ :v | oc at: (v - min + 1) put: ( (oc at: (v - min + 1)) + 1) ]. z := 1. min to: max do: [ :i | 1 to: (oc at: (i - min + 1)) do: [ :k | self at: z put: i. z := z + 1. ] ]

   ]

].</lang>

Testing:

<lang smalltalk>|ages|

ages := OrderedCollection new.

1 to: 100 do: [ :n |

   ages add: (Random between: 0 and: 140)

].

ages countingSortWithMin: 0 andMax: 140. ages printNl.</lang>

Tcl

Works with: Tcl version 8.5

<lang tcl>proc countingsort {a {min ""} {max ""}} {

   # If either of min or max weren't given, compute them now
   if {$min eq ""} {
       set min [::tcl::mathfunc::min $a]
   }
   if {$max eq ""} {
       set max [::tcl::mathfunc::max $a]
   }
   # Make the "array" of counters
   set count [lrepeat [expr {$max - $min + 1}] 0]
   # Count the values in the input list
   foreach n $a {
       set idx [expr {$n - $min}]
       lincr count $idx
   }
   # Build the output list
   set z 0
   for {set i $min} {$i <= $max} {incr i} {
       set idx [expr {$i - $min}]
       while {[lindex $count $idx] > 0} {
           lset a $z $i
           incr z
           lincr count $idx -1
       }
   }
   return $a

}

  1. Helper that will increment an existing element of a list

proc lincr {listname idx {value 1}} {

   upvar 1 $listname list
   lset list $idx [expr {[lindex $list $idx] + $value}]

}

  1. Demo code

for {set i 0} {$i < 50} {incr i} {lappend a [expr {1+ int(rand()*10)}]} puts $a puts [countingsort $a]</lang>

9 7 10 2 9 7 4 3 10 2 7 10 2 1 3 8 7 3 9 5 8 5 1 6 3 7 5 4 6 9 9 6 6 10 2 4 5 2 8 2 2 5 2 9 3 3 5 7 8 4
1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 4 4 4 4 5 5 5 5 5 5 6 6 6 6 7 7 7 7 7 7 8 8 8 8 9 9 9 9 9 9 10 10 10 10

VBScript

All my other sort demos just pass in the array, thus the findMax and findMin

Implementation

<lang vb>function findMax( a ) dim num dim max max = 0 for each num in a if num > max then max = num next findMax = max end function

function findMin( a ) dim num dim min min = 0 for each num in a if num < min then min = num next findMin = min end function

'the function returns the sorted array, but the fact is that VBScript passes the array by reference anyway function countingSort( a ) dim count() dim min, max min = findMin(a) max = findMax(a) redim count( max - min + 1 ) dim i dim z for i = 0 to ubound( a ) count( a(i) - min ) = count( a( i ) - min ) + 1 next z = 0 for i = min to max while count( i - min) > 0 a(z) = i z = z + 1 count( i - min ) = count( i - min ) - 1 wend next countingSort = a end function</lang>

Invocation

<lang vb>dim a a = array(300, 1, -2, 3, -4, 5, -6, 7, -8, 100, 11 ) wscript.echo join( a, ", " ) countingSort a wscript.echo join( a, ", " )</lang>

Output
300, 1, -2, 3, -4, 5, -6, 7, -8, 100, 11
-8, -6, -4, -2, 1, 3, 5, 7, 11, 100, 300

XPL0

<lang XPL0>include c:\cxpl\codes;

proc CountingSort(Array, Min, Max, Size); \Sort Array int Array, Min, Max, Size; \minimum, maximum values, number of elements int Count, I, Z; [Count:= Reserve((Max-Min+1)*4); \Reserve Count with 4 bytes per integer for I:= 0 to Max-Min do Count(I):= 0; \initialize Count with 0 for I:= 0 to Size-1 do \for each number count its occurrences

   Count(Array(I)-Min):= Count(Array(I)-Min) + 1;

Z:= 0; for I:= Min to Max do

   while Count(I-Min) > 0 do
       [Array(Z):= I;
       Z:= Z+1;
       Count(I-Min):= Count(I-Min) - 1;
       ];

];

int A, I; [A:= [3, 1, 4, 1, -5, 9, 2, 6, 5, 4]; CountingSort(A, -5, 9, 10); for I:= 0 to 10-1 do [IntOut(0, A(I)); ChOut(0, ^ )]; ]</lang>

Output:
-5 1 1 2 3 4 4 5 6 9 

zkl

<lang zkl>fcn countingSort(array, min, max){ // modifies array

  count:=(max - min + 1).pump(List().write,0); // array of (max - min + 1) zeros
  foreach number in (array){
     count[number - min] += 1;
  }
  z:=-1;
  foreach i in ([min .. max]){
     do(count[i - min]){ array[z += 1] = i }
  }
  array

}</lang> <lang zkl>array:=List(4, 65, 2, -31, 0, 99, 2, 83, 182, 1); countingSort(array,(0).min(array), (0).max(array)).println();</lang>

Output:
L(-31,0,1,2,2,4,65,83,99,182)