Sorting algorithms/Sleep sort: Difference between revisions
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syntax highlighting fixup automation
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=={{header|Ada}}==
<
with Ada.Command_Line; use Ada.Command_Line;
procedure SleepSort is
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TaskList(i) := new PrintTask(Integer'Value(Argument(i)));
end loop;
end SleepSort;</
{{out}}
<pre>./sleepsort 35 21 11 1 2 27 32 7 42 20 50 42 25 41 43 14 46 20 30 8
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=={{header|APL}}==
<syntaxhighlight lang="apl">
sleepsort←{{r}⎕TSYNC{r,←⊃⍵,⎕DL ⍵}&¨⍵,r←⍬}
</syntaxhighlight>
=={{header|AutoHotkey}}==
<
for i, v in SleepSort(items)
result .= v ", "
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global Sorted
Sorted.Push(v)
}</
{{out}}
<pre>[1, 3, 4, 4, 5, 9]</pre>
=={{header|Bash}}==
<
function sleep_and_echo {
sleep "$1"
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wait
</syntaxhighlight>
{{out}}
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{{works with|BBC BASIC for Windows}}
This does not explicitly 'sleep', but uses timers to implement the different delays.
<
DIM test%(9)
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DEF PROCtask7 : PRINT test%(7) : ENDPROC
DEF PROCtask8 : PRINT test%(8) : ENDPROC
DEF PROCtask9 : PRINT test%(9) : ENDPROC</
'''Output:'''
<pre>
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=={{header|Brainf***}}==
<syntaxhighlight lang="c">
>>>>>,----------[++++++++
++[->+>+<<]>+>[-<<+>>]+++
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->>>>>[>>>>>]<-<<<<[<<<<<
]+<]<<<<]>>>>>[>>>>>]<]
</syntaxhighlight>
Not exactly 'sleep' sort but it is similar: it inputs an array of digits and in each iteration reduces elements by 1. When an element becomes 0 – it prints the original digit.
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=={{header|C}}==
<
#include <unistd.h>
#include <sys/types.h>
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wait(0);
return 0;
}</
Running it:<syntaxhighlight lang="text">% ./a.out 5 1 3 2 11 6 4
1
2
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5
6
11</
If you worry about time efficiency of this sorting algorithm (ha!), you can make it a 100 times faster by replacing the <code>sleep(...</code> with <code>usleep(10000 * (c = atoi(v[c])))</code>. The smaller the coefficient, the faster it is, but make sure it's not comparable to your kernel clock ticks or the wake up sequence will be wrong.
=={{header|C sharp|C#}}==
<
using System.Collections.Generic;
using System.Linq;
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SleepSort(arguments.Select(int.Parse));
}
}</
===Using Tasks===
<
foreach (var n in input)
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Console.WriteLine(n);
});
</syntaxhighlight>
Output, i.e. in LINQPad:
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=={{header|C++}}==
<
#include <chrono>
#include <iostream>
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}
}
</syntaxhighlight>
{{out}}
<pre>
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=={{header|Clojure}}==
Using core.async
<
(require [clojure.core.async :as async :refer [chan go <! <!! >! timeout]]))
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(go (<! (timeout (* 1000 i)))
(>! c i)))
(<!! (async/into [] (async/take (count l) c)))))</
<
;=> [1 2 3 4 5 6 7]</
=={{header|CoffeeScript}}==
{{works_with|node.js}}
<
after = (s, f) -> setTimeout f, s*1000
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input = (parseInt(arg) for arg in process.argv[2...])
sleep_sort input
</syntaxhighlight>
output
<syntaxhighlight lang="text">
> time coffee sleep_sort.coffee 5, 1, 3, 4, 2
1
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user 0m0.147s
sys 0m0.024s
</syntaxhighlight>
=={{header|Common Lisp}}==
{{works_with|SBCL}}
<
(sleep (/ n 10))
(format t "~a~%" n))
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(sb-thread:make-thread (lambda() (sleeprint (parse-integer arg)))))
(loop while (not (null (cdr (sb-thread:list-all-threads)))))</
{{Out}}
<pre>$ sbcl --script ss.cl 3 1 4 1 5
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=={{header|D}}==
<
{
import core.thread, std;
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write(a, " ");
});
}</
{{out}}
<pre>$ ./sorting_algorithms_sleep_sort 200 20 50 10 80
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=={{header|Dart}}==
<
void main() async {
Future<void> sleepsort(Iterable<int> input) => Future.wait(input
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await sleepsort([3, 10, 2, 120, 122, 121, 54]);
}
</syntaxhighlight>
{{out}}
<pre>
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=={{header|Delphi}}==
<
{$APPTYPE CONSOLE}
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Writeln;
ReadLn;
end.</
Output:
<pre>
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=={{header|Elena}}==
ELENA 5.0 :
<
import system'routines;
import extensions'threading;
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console.readChar()
}</
=={{header|Elixir}}==
{{trans|Erlang}}
<
def sleep_sort(args) do
Enum.each(args, fn(arg) -> Process.send_after(self, arg, 5 * arg) end)
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end
Sort.sleep_sort [2, 4, 8, 12, 35, 2, 12, 1]</
{{out}}
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GNU Emacs supports threads, but it's more straightforward to do this by just using timers.
Evaluate in the *scratch* buffer by typing <code>C-M-x</code> on the expression:
<
(run-with-timer (* i 0.001) nil 'message "%d" i))</
The output printed in the *Messages* buffer is:
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=={{header|Erlang}}==
<
%% -*- erlang -*-
%%! -smp enable -sname sleepsort
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io:format("~s~n", [Num]),
loop(N - 1)
end.</
{{out}}
<pre>./sleepsort 2 4 8 12 35 2 12 1
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=={{header|Euphoria}}==
<
integer count
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task_yield()
end while
end if</
=={{header|F_Sharp|F#}}==
<
let sleepSort (values: seq<int>) =
values
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|> Async.Ignore
|> Async.RunSynchronously
</syntaxhighlight>
Usage:
<
sleepSort [10; 33; 80; 32]
10
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33
80
</syntaxhighlight>
=={{header|Factor}}==
<syntaxhighlight lang="factor">
USING: threads calendar concurrency.combinators ;
: sleep-sort ( seq -- ) [ dup seconds sleep . ] parallel-each ;
</syntaxhighlight>
Usage:
<syntaxhighlight lang="factor">
{ 1 9 2 6 3 4 5 8 7 0 } sleep-sort
</syntaxhighlight>
=={{header|Fortran}}==
<syntaxhighlight lang="fortran">
program sleepSort
use omp_lib
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end subroutine sleepNprint
end program sleepSort
</syntaxhighlight>
Compile and Output:
<pre>
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Can't use FreeBASIC '''sleep''' since it halts the program.
Instead it uses a second array filled with times based on the value of number, this array is check against the timer. If the timer is past the stored time the value is printed.
<
' compile with: fbc -s console
' compile with: fbc -s console -exx (for bondry check on the array's)
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Print : Print "hit any key to end program"
Sleep
End</
{{out}}
<pre>unsorted 5 2 5 6 4 6 9 5 1 2 0
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=={{header|Go}}==
<
import (
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fmt.Println(<-out)
}
}</
Usage and output:
<pre>./sleepsort 3 1 4 1 5 9
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=== Using sync.WaitGroup ===
<
import (
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}
wg.Wait()
}</
Usage and output are the same as the version using channels. Note that the original version would sleep for increments of 1 full second, so I made my code do the same.
=={{header|Groovy}}==
<
@Grab(group = 'org.codehaus.gpars', module = 'gpars', version = '1.2.1')
import groovyx.gpars.GParsPool
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}
}
</syntaxhighlight>
Sample Run:
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=={{header|Haskell}}==
<
import Control.Concurrent
import Control.Monad
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main :: IO ()
main = getArgs >>= sleepSort . map read</
===Using mapConcurrently_===
<
import Control.Concurrent
import Control.Concurrent.Async
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main :: IO ()
main = getArgs >>= sleepSort . map read</
This is problematic for inputs with multiple duplicates like <code>[1,2,3,1,4,1,5,1]</code> because simultaneous <code>print</code>s are done concurrently and the 1s and newlines get output in jumbled up order. The channels-based version above doesn't have this problem.
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The following solution only works in Unicon.
<
every insert(t:=set(),mkThread(t,!A))
every spawn(!t) # start threads as closely grouped as possible
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procedure mkThread(t,n) # 10ms delay scale factor
return create (delay(n*10),delete(t,¤t),n@>&main)
end</
Sample run:
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{{works with|J|903+}}
<
id=:'dumb',":x:6!:9''
wd 'pc ',id
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{{echo R}} scheduledumb poly"0 >:>./ y
EMPTY
}}</
Task example:
<
t
11 7 22 16 17 2 1 19 23 29 9 21 15 10 12 27 3 4 24 20 14 5 26 18 8 6 0 13 25 28
ssort t
0 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</
Note that since t is the result of an RNG, the order of values in t would be different in subsequent attempts. For example:
<
t
23 26 24 25 10 12 4 5 7 27 16 17 14 8 3 15 18 13 19 21 2 28 22 9 6 20 11 1 29 0
ssort t
0 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</
=={{header|Java}}==
{{works with|Java|1.5+}}
<
public class SleepSort {
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sleepSortAndPrint(nums);
}
}</
Output (using "3 1 4 5 2 3 1 6 1 3 2 5 4 6" as arguments):
<pre>1
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=={{header|JavaScript}}==
<
this.forEach(function (n) {
setTimeout(function () { f(n) }, 5 * n)
});
}
</syntaxhighlight>
Usage and output:
<
<pre>
0
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</pre>
<
const res = [];
for (let n of this)
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[1, 9, 8, 7, 6, 5, 3, 4, 5, 2, 0].sleepSort(console.log);
// [ 1, 0, 2, 3, 4, 5, 5, 6, 7, 8, 9 ]
</syntaxhighlight>
=={{header|jq}}==
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Doesn't actually sleep. Instead, iterates reducing the values by one until each is zero.
<
def f:
if .unsorted == [] then
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end;
{unsorted: [.[] | {v: ., t: .}], sorted: []} | f | .[]
'</
{{out}}
<pre>1
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{{works with|Julia|1.6}}
<
U = Vector{T}()
sizehint!(U, length(V))
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v = rand(-10:10, 10)
println("# unordered: $v\n -> ordered: ", sleepsort(v))</
{{out}}
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=={{header|Kotlin}}==
<
import kotlin.concurrent.thread
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println("Unsorted: ${list.joinToString(" ")}")
sleepSort(list, 50)
}</
Sample output:
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Here's a slow implementation using only stock C Lua:
<
local t0 = os.time()
while os.time() - t0 <= n do
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end
end
end</
By installing LuaSocket, you can get better than 1-second precision on the clock, and therefore faster output:
<
function sleeprint(n)
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end
end
end</
Either way, the output is the same:
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=={{header|Mathematica}}/{{header|Wolfram Language}}==
<
SleepSort@{1, 9, 8, 7, 6, 5, 3, 4, 5, 2, 0};</
{{Out}}
<pre>
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As implemented this sample goes beyond the scope of the task as defined; it will handle negative numbers.
<
options replace format comments java crossref symbols nobinary
import java.util.concurrent.CountDownLatch
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parent.getDoneLatch().countDown() -- this one's done; decrement the latch
return
</syntaxhighlight>
'''Output:'''
<pre>
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=={{header|Nim}}==
Compile with <code>nim --threads:on c sleepsort</code>:
<
proc single(n: int) =
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thr.joinThreads
main()</
Usage:
<pre>$ ./sleepsort 5 1 3 2 11 6 4
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=={{header|Objeck}}==
<
use System.Concurrency;
use Collection;
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}
}
</syntaxhighlight>
=={{header|Objective-C}}==
<
int main(int argc, char **argv)
Line 1,323:
}
[queue waitUntilAllOperationsAreFinished];
}</
Rather than having multiple operations that sleep, we could also dispatch the tasks after a delay:
<
int main(int argc, char **argv)
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^{ NSLog(@"%d\n", i); });
}
}</
=={{header|Oforth}}==
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20 milliseconds is used to (try to) handle scheduler tick on Windows systems (around 15 ms). On Linux systems (after kernel 2.6.8), this value can be smaller.
<
: sleepSort(l)
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Channel new ->ch
l forEach: n [ #[ n dup 20 * sleep ch send drop ] & ]
ListBuffer newSize(l size) #[ ch receive over add ] times(l size) ;</
{{out}}
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=={{header|Ol}}==
<
(define (sleep-sort lst)
(for-each (lambda (timeout)
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(sleep-sort '(5 8 2 7 9 10 5))
</syntaxhighlight>
{{Out}}
<pre>
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{{works with|Free Pascal}}
my limit under linux was 4000 threads nearly 2 GB.
<
program sleepsort;
{$IFDEF FPC}
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readln;
{$ENDIF}
end.</
{{out}}
<pre>time ./sleepsort
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=={{header|Perl}}==
Basically the C code.
<
sleep $_;
print "$_\n";
wait;</
A more optimal solution makes use of Coro, a cooperative threading library. It has the added effect of being much faster, fully deterministic (sleep is not exact), and it allows you to easily collect the return value:
<
$ret = Coro::Channel->new;
@nums = qw(1 32 2 59 2 39 43 15 8 9 12 9 11);
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}
print $ret->get,"\n" for 1..@nums;</
=={{header|Phix}}==
Based on [[Sorting_algorithms/Sleep_sort#Euphoria|Euphoria]]
<!--<
<span style="color: #008080;">without</span> <span style="color: #008080;">js</span> <span style="color: #000080;font-style:italic;">-- (multitasking)</span>
<span style="color: #004080;">integer</span> <span style="color: #000000;">count</span>
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<span style="color: #008080;">end</span> <span style="color: #008080;">while</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">if</span>
<!--</
=={{header|PicoLisp}}==
===Sleeping in main process===
<
(make
(for (I . N) Lst
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(pop 'Lst)
(task (- I)) ) )
(wait NIL (not Lst)) ) )</
===Sleeping in child processes===
<
(make
(for N Lst
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(pop 'Lst)
(task (close @)) ) )
(wait NIL (not Lst)) ) )</
Output in both cases:
<pre>: (sleepSort (3 1 4 1 5 9 2 6 5))
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===Just printing (no sorted result list)===
Basically the C code.
<
(unless (fork)
(call 'sleep N)
(msg N)
(bye) ) )</
Output:
<pre>1
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=={{header|Pike}}==
<syntaxhighlight lang="pike">
#!/usr/bin/env pike
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return;
}
</syntaxhighlight>
Output :
<pre>
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=={{header|Prolog}}==
Works with SWI-Prolog.
<
thread_pool_create(rosetta, 1024, []) ,
maplist(initsort, L, LID),
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thread_create_in_pool(rosetta, (sleep(V), writeln(V)), Id, []).
</syntaxhighlight>
Output :
<pre> sleep_sort([5, 1, 3, 2, 11, 6, 3, 4]).
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=={{header|PureBasic}}==
<
Procedure Foo(n)
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Next
Print("Press ENTER to exit"): Input()
EndIf</
<pre>Sleep_sort.exe 3 1 4 1 5 9
1
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===Python: Using threading.Timer===
<
from threading import Timer
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print('sleep sort worked for:',x)
else:
print('sleep sort FAILED for:',x)</
;Sample output:
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could be a sole translation from the original version in Bash:
{{Works with|Python 3.5+}}
<
from asyncio import run, sleep, wait
from sys import argv
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if __name__ == '__main__':
run(wait(map(f, map(int, argv[1:]))))</
Example usage:
<pre>
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=={{header|Racket}}==
<
#lang racket
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;; outputs '(2 5 5 7 8 9 10)
(sleep-sort '(5 8 2 7 9 10 5))
</syntaxhighlight>
=={{header|Raku}}==
(formerly Perl 6)
<syntaxhighlight lang="raku"
<6 8 1 12 2 14 5 2 1 0>;</
{{out}}
Line 1,778:
This can also be written using reactive programming:
<syntaxhighlight lang="raku"
use v6;
react whenever Supply.from-list(@*ARGS).start({ .&sleep // +$_ }).flat { .say }</
{{out}}
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This sort will accept any manner of numbers, or for that matter, any character string as well.
<br>REXX isn't particular what is being sorted.
<
numeric digits 300 /*over the top, but what the hey! */
/* (above) ··· from vaudeville. */
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do m=1 for howMany-1; next= m+1; if @.m>@.next then return 0 /*¬ in order*/
end /*m*/ /*keep looking for fountain of youth. */
return 1 /*yes, indicate with an indicator. */</
Programming note: this REXX program makes use of '''DELAY''' BIF which delays (sleeps) for a specified amount of seconds.
<br>Some REXXes don't have a '''DELAY''' BIF, so one is included here ──► [[DELAY.REX]].
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=={{header|Ruby}}==
<
nums = ARGV.collect(&:to_i)
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threads.each {|t| t.join}
p sorted</
Example
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=={{header|Rust}}==
<
fn sleepsort<I: Iterator<Item=u32>>(nums: I) {
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fn main() {
sleepsort(std::env::args().skip(1).map(|s| s.parse().unwrap()));
}</
Output:
<pre>$ ./sleepsort 50 34 43 3 2
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=={{header|Scala}}==
<
def main(args: Array[String]): Unit = {
Line 1,933:
}.start())
}</
{{out}}
<
0 1 2 3 4 5 5 6 7 8 9 </
=={{header|Sidef}}==
<
{Sys.sleep(i); say i}.fork;
}.each{.wait};</
{{out}}
<pre>% sidef test.sf 5 1 3 2 11 6 4
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=={{header|Simula}}==
<
BEGIN
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OUTIMAGE;
END;</
{{out}}
<pre> 1 2 3 3 4 6 7 9
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=={{header|SNUSP}}==
Bloated SNUSP is ideally suited to this task, since this the variant adds multithreading and an additional dimension of data space. Sleep time is simulated by the loop delay required to copy each cell value, thereby ensuring that smaller values are printed earlier than larger values. This program requires a Bloated SNUSP interpreter which returns zero on input end-of-file.
<syntaxhighlight lang="snusp">
/$>\ input until eof
#/?<\?,/ foreach: fork
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/:\?-; delay /
\.# print and exit thread
</syntaxhighlight>
Legend:
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=={{header|Swift}}==
<
for i in [5, 2, 4, 6, 1, 7, 20, 14] {
Line 2,004:
}
CFRunLoopRun()</
{{out}}
<pre>
Line 2,019:
=={{header|Tcl}}==
===Tcl 8.5===
<
set count 0
proc process val {
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while {$count < $argc} {
vwait count
}</
'''Demo:'''
<pre>
Line 2,052:
</pre>
===Tcl 8.6===
<
lmap x $argv {after $x [list lappend sorted $x]}
while {[llength $sorted] != $argc} {
vwait sorted
}
puts $sorted</
{{out}}
<pre>$ echo 'puts [lmap _ [lrepeat 30 {}] {expr {int(rand() * 100)}}]' | tclsh | tee /dev/tty | xargs tclsh sleepsort.tcl
Line 2,064:
===Tcl 8.6: coroutine===
<
package require Tcl 8.6
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coroutine c sleep-sort [validate $argv] ::sorted
vwait sorted</
'''Demo:'''
<pre>
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=={{header|UNIX Shell}}==
{{works with|Bourne Shell}}
<
sleep "$1"
echo "$1"
Line 2,127:
shift
done
wait</
Usage and output:
<pre>
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=={{header|Visual Basic .NET}}==
<
Module Module1
Line 2,158:
End Sub
End Module</
{{out}}
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=={{header|Wren}}==
More of a simulation than a 'true' sleep sort.
<
import "io" for Stdout
import "os" for Process
Line 2,202:
}
}
System.print()</
{{out}}
Line 2,213:
=={{header|zkl}}==
<
Atomic.waitFor(fcn{ vm.numThreads == 1 }); Atomic.sleep(2); println();</
{{out}}
<pre>
|