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http://rosettacode.org/wiki/Sorting_algorithms/Cocktail_sort | Sorting algorithms/Cocktail sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Cocktail 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)
The cocktail shaker sort is an improvement on the Bubble Sort.
The improvement is basically that values "bubble" both directions through the array, because on each iteration the cocktail shaker sort bubble sorts once forwards and once backwards. Pseudocode for the algorithm (from wikipedia):
function cocktailSort( A : list of sortable items )
do
swapped := false
for each i in 0 to length( A ) - 2 do
if A[ i ] > A[ i+1 ] then // test whether the two
// elements are in the wrong
// order
swap( A[ i ], A[ i+1 ] ) // let the two elements
// change places
swapped := true;
if swapped = false then
// we can exit the outer loop here if no swaps occurred.
break do-while loop;
swapped := false
for each i in length( A ) - 2 down to 0 do
if A[ i ] > A[ i+1 ] then
swap( A[ i ], A[ i+1 ] )
swapped := true;
while swapped; // if no elements have been swapped,
// then the list is sorted
Related task
cocktail sort with shifting bounds
| #MATLAB_.2F_Octave | MATLAB / Octave | function list = cocktailSort(list)
%We have to do this because the do...while loop doesn't exist in MATLAB
swapped = true;
while swapped
%Bubble sort down the list
swapped = false;
for i = (1:numel(list)-1)
if( list(i) > list(i+1) )
list([i i+1]) = list([i+1 i]); %swap
swapped = true;
end
end
if ~swapped
break
end
%Bubble sort up the list
swapped = false;
for i = (numel(list)-1:-1:1)
if( list(i) > list(i+1) )
list([i i+1]) = list([i+1 i]); %swap
swapped = true;
end %if
end %for
end %while
end %cocktail sort |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #Aime | Aime | file i, o;
tcpip_connect(i, o, "127.0.0.1", 256, 0);
i.text("hello socket world"); |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #AutoHotkey | AutoHotkey | Network_Port = 256
Network_Address = 127.0.0.1
NewData := false
DataReceived =
GoSub, Connection_Init
SendData(socket,"hello socket world")
return
Connection_Init:
OnExit, ExitSub
socket := ConnectToAddress(Network_Address, Network_Port)
if socket = -1
ExitApp
Process, Exist
DetectHiddenWindows On
ScriptMainWindowId := WinExist("ahk_class AutoHotkey ahk_pid " . ErrorLevel)
DetectHiddenWindows Off
NotificationMsg = 0x5556
OnMessage(NotificationMsg, "ReceiveData")
FD_READ = 1
FD_CLOSE = 32
if DllCall("Ws2_32\WSAAsyncSelect", "UInt", socket, "UInt", ScriptMainWindowId, "UInt", NotificationMsg, "Int", FD_READ|FD_CLOSE)
{
MsgBox % "WSAAsyncSelect() indicated Winsock error " . DllCall("Ws2_32\WSAGetLastError")
ExitApp
}
return
ConnectToAddress(IPAddress, Port)
{
VarSetCapacity(wsaData, 32)
result := DllCall("Ws2_32\WSAStartup", "UShort", 0x0002, "UInt", &wsaData)
if ErrorLevel
{
MsgBox WSAStartup() could not be called due to error %ErrorLevel%. Winsock 2.0 or higher is required.
return -1
}
if result
{
MsgBox % "WSAStartup() indicated Winsock error " . DllCall("Ws2_32\WSAGetLastError")
return -1
}
AF_INET = 2
SOCK_STREAM = 1
IPPROTO_TCP = 6
socket := DllCall("Ws2_32\socket", "Int", AF_INET, "Int", SOCK_STREAM, "Int", IPPROTO_TCP)
if socket = -1
{
MsgBox % "socket() indicated Winsock error " . DllCall("Ws2_32\WSAGetLastError")
return -1
}
SizeOfSocketAddress = 16
VarSetCapacity(SocketAddress, SizeOfSocketAddress)
InsertInteger(2, SocketAddress, 0, AF_INET)
InsertInteger(DllCall("Ws2_32\htons", "UShort", Port), SocketAddress, 2, 2)
InsertInteger(DllCall("Ws2_32\inet_addr", "Str", IPAddress), SocketAddress, 4, 4)
if DllCall("Ws2_32\connect", "UInt", socket, "UInt", &SocketAddress, "Int", SizeOfSocketAddress)
{
MsgBox % "connect() indicated Winsock error " . DllCall("Ws2_32\WSAGetLastError") . "?"
return -1
}
return socket
}
ReceiveData(wParam, lParam)
{
global DataReceived
global NewData
socket := wParam
ReceivedDataSize = 4096
Loop
{
VarSetCapacity(ReceivedData, ReceivedDataSize, 0)
ReceivedDataLength := DllCall("Ws2_32\recv", "UInt", socket, "Str", ReceivedData, "Int", ReceivedDataSize, "Int", 0)
if ReceivedDataLength = 0
ExitApp
if ReceivedDataLength = -1
{
WinsockError := DllCall("Ws2_32\WSAGetLastError")
if WinsockError = 10035
{
DataReceived = %TempDataReceived%
NewData := true
return 1
}
if WinsockError <> 10054
MsgBox % "recv() indicated Winsock error " . WinsockError
ExitApp
}
if (A_Index = 1)
TempDataReceived =
TempDataReceived = %TempDataReceived%%ReceivedData%
}
return 1
}
SendData(wParam,SendData)
{
socket := wParam
SendDataSize := VarSetCapacity(SendData)
SendDataSize += 1
sendret := DllCall("Ws2_32\send", "UInt", socket, "Str", SendData, "Int", SendDatasize, "Int", 0)
}
InsertInteger(pInteger, ByRef pDest, pOffset = 0, pSize = 4)
{
Loop %pSize%
DllCall("RtlFillMemory", "UInt", &pDest + pOffset + A_Index-1, "UInt", 1, "UChar", pInteger >> 8*(A_Index-1) & 0xFF)
}
ReceiveProcedure:
if NewData
GuiControl, , ReceivedText, %DataReceived%
NewData := false
Return
ExitSub:
DllCall("Ws2_32\WSACleanup")
ExitApp |
http://rosettacode.org/wiki/Smarandache_prime-digital_sequence | Smarandache prime-digital sequence | The Smarandache prime-digital sequence (SPDS for brevity) is the sequence of primes whose digits are themselves prime.
For example 257 is an element of this sequence because it is prime itself and its digits: 2, 5 and 7 are also prime.
Task
Show the first 25 SPDS primes.
Show the hundredth SPDS prime.
See also
OEIS A019546: Primes whose digits are primes.
https://www.scribd.com/document/214851583/On-the-Smarandache-prime-digital-subsequence-sequences
| #Action.21 | Action! | INCLUDE "D2:REAL.ACT" ;from the Action! Tool Kit
BYTE FUNC IsZero(REAL POINTER a)
CHAR ARRAY s(10)
StrR(a,s)
IF s(0)=1 AND s(1)='0 THEN
RETURN (1)
FI
RETURN (0)
CARD FUNC MyMod(CARD a,b)
REAL ar,br,dr
CARD d,m
IF a>32767 THEN
;Built-in DIV and MOD
;do not work properly
;for numbers greater than 32767
IntToReal(a,ar)
IntToReal(b,br)
RealDiv(ar,br,dr)
d=RealToInt(dr)
m=a-d*b
ELSE
m=a MOD b
FI
RETURN (m)
BYTE FUNC IsPrime(CARD a)
CARD i
IF a<=1 THEN
RETURN (0)
FI
i=2
WHILE i*i<=a
DO
IF MyMod(a,i)=0 THEN
RETURN (0)
FI
i==+1
OD
RETURN (1)
BYTE FUNC AllDigitsArePrime(CARD a)
BYTE i
CHAR ARRAY s
CHAR c
StrC(a,s)
FOR i=1 TO s(0)
DO
c=s(i)
IF c#'2 AND c#'3 AND c#'5 AND c#'7 THEN
RETURN (0)
FI
OD
RETURN (1)
PROC Main()
BYTE count
CARD a
Put(125) PutE() ;clear screen
PrintE("Sequence from 1st to 25th:")
count=0 a=1
DO
IF AllDigitsArePrime(a)=1 AND IsPrime(a)=1 THEN
count==+1
IF count<=25 THEN
PrintC(a) Put(32)
ELSEIF count=100 THEN
PrintF("%E%E100th: %U%E",a)
EXIT
FI
FI
a==+1
OD
RETURN |
http://rosettacode.org/wiki/Smarandache_prime-digital_sequence | Smarandache prime-digital sequence | The Smarandache prime-digital sequence (SPDS for brevity) is the sequence of primes whose digits are themselves prime.
For example 257 is an element of this sequence because it is prime itself and its digits: 2, 5 and 7 are also prime.
Task
Show the first 25 SPDS primes.
Show the hundredth SPDS prime.
See also
OEIS A019546: Primes whose digits are primes.
https://www.scribd.com/document/214851583/On-the-Smarandache-prime-digital-subsequence-sequences
| #ALGOL_68 | ALGOL 68 | # find elements of the Smarandache prime-digital sequence - primes whose #
# digits are all primes #
# Uses the observations that the final digit of 2 or more digit Smarandache #
# primes must be 3 or 7 and the only prime digits are 2, 3, 5 and 7 #
# Needs --heap 256m for Algol 68G #
BEGIN
# construct a sieve of primes up to 10 000 000 #
INT prime max = 10 000 000;
[ prime max ]BOOL prime; FOR i TO UPB prime DO prime[ i ] := TRUE OD;
FOR s FROM 2 TO ENTIER sqrt( prime max ) DO
IF prime[ s ] THEN
FOR p FROM s * s BY s TO prime max DO prime[ p ] := FALSE OD
FI
OD;
# consruct the Smarandache primes up to 10 000 000 #
[ prime max ]BOOL smarandache; FOR i TO UPB prime DO smarandache[ i ] := FALSE OD;
[ ]INT prime digits = ( 2, 3, 5, 7 );
[ 7 ]INT digits := ( 0, 0, 0, 0, 0, 0, 0 );
# tests whether the current digits form a Smarandache prime #
PROC try smarandache = VOID:
BEGIN
INT possible prime := 0;
FOR i TO UPB digits DO
possible prime *:= 10 +:= digits[ i ]
OD;
smarandache[ possible prime ] := prime[ possible prime ]
END # try smarandache # ;
# tests whether the current digits plus 3 or 7 form a Smarandache prime #
PROC try smarandache 3 or 7 = VOID:
BEGIN
digits[ UPB digits ] := 3;
try smarandache;
digits[ UPB digits ] := 7;
try smarandache
END # try smarandache 3 or 7 # ;
# the 1 digit primes are all Smarandache primes #
FOR d7 TO UPB prime digits DO smarandache[ prime digits[ d7 ] ] := TRUE OD;
# try the possible 2, 3, etc. digit numbers composed of prime digits #
FOR d6 TO UPB prime digits DO
digits[ 6 ] := prime digits[ d6 ];
try smarandache 3 or 7;
FOR d5 TO UPB prime digits DO
digits[ 5 ] := prime digits[ d5 ];
try smarandache 3 or 7;
FOR d4 TO UPB prime digits DO
digits[ 4 ] := prime digits[ d4 ];
try smarandache 3 or 7;
FOR d3 TO UPB prime digits DO
digits[ 3 ] := prime digits[ d3 ];
try smarandache 3 or 7;
FOR d2 TO UPB prime digits DO
digits[ 2 ] := prime digits[ d2 ];
try smarandache 3 or 7;
FOR d1 TO UPB prime digits DO
digits[ 1 ] := prime digits[ d1 ];
try smarandache 3 or 7
OD;
digits[ 1 ] := 0
OD;
digits[ 2 ] := 0
OD;
digits[ 3 ] := 0
OD;
digits[ 4 ] := 0
OD;
digits[ 5 ] := 0
OD;
# print some Smarandache primes #
INT count := 0;
INT s100 := 0;
INT s1000 := 0;
INT s last := 0;
INT p last := 0;
print( ( "First 25 Smarandache primes:", newline ) );
FOR i TO UPB smarandache DO
IF smarandache[ i ] THEN
count +:= 1;
s last := i;
p last := count;
IF count <= 25 THEN
print( ( " ", whole( i, 0 ) ) )
ELIF count = 100 THEN
s100 := i
ELIF count = 1000 THEN
s1000 := i
FI
FI
OD;
print( ( newline ) );
print( ( "100th Smarandache prime: ", whole( s100, 0 ), newline ) );
print( ( "1000th Smarandache prime: ", whole( s1000, 0 ), newline ) );
print( ( "Largest Smarandache prime under "
, whole( prime max, 0 )
, ": "
, whole( s last, 0 )
, " (Smarandache prime "
, whole( p last, 0 )
, ")"
, newline
)
)
END |
http://rosettacode.org/wiki/Sokoban | Sokoban | Demonstrate how to find a solution to a given Sokoban level. For the purpose of this task (formally, a PSPACE-complete problem) any method may be used. However a move-optimal or push-optimal (or any other -optimal) solutions is preferred.
Sokoban levels are usually stored as a character array where
space is an empty square
# is a wall
@ is the player
$ is a box
. is a goal
+ is the player on a goal
* is a box on a goal
#######
# #
# #
#. # #
#. $$ #
#.$$ #
#.# @#
#######
Sokoban solutions are usually stored in the LURD format, where lowercase l, u, r and d represent a move in that (left, up, right, down) direction and capital LURD represents a push.
Please state if you use some other format for either the input or output, and why.
For more information, see the Sokoban wiki.
| #C.23 | C# | using System.Collections.Generic;
using System.Linq;
using System.Text;
namespace SokobanSolver
{
public class SokobanSolver
{
private class Board
{
public string Cur { get; internal set; }
public string Sol { get; internal set; }
public int X { get; internal set; }
public int Y { get; internal set; }
public Board(string cur, string sol, int x, int y)
{
Cur = cur;
Sol = sol;
X = x;
Y = y;
}
}
private string destBoard, currBoard;
private int playerX, playerY, nCols;
SokobanSolver(string[] board)
{
nCols = board[0].Length;
StringBuilder destBuf = new StringBuilder();
StringBuilder currBuf = new StringBuilder();
for (int r = 0; r < board.Length; r++)
{
for (int c = 0; c < nCols; c++)
{
char ch = board[r][c];
destBuf.Append(ch != '$' && ch != '@' ? ch : ' ');
currBuf.Append(ch != '.' ? ch : ' ');
if (ch == '@')
{
this.playerX = c;
this.playerY = r;
}
}
}
destBoard = destBuf.ToString();
currBoard = currBuf.ToString();
}
private string Move(int x, int y, int dx, int dy, string trialBoard)
{
int newPlayerPos = (y + dy) * nCols + x + dx;
if (trialBoard[newPlayerPos] != ' ')
return null;
char[] trial = trialBoard.ToCharArray();
trial[y * nCols + x] = ' ';
trial[newPlayerPos] = '@';
return new string(trial);
}
private string Push(int x, int y, int dx, int dy, string trialBoard)
{
int newBoxPos = (y + 2 * dy) * nCols + x + 2 * dx;
if (trialBoard[newBoxPos] != ' ')
return null;
char[] trial = trialBoard.ToCharArray();
trial[y * nCols + x] = ' ';
trial[(y + dy) * nCols + x + dx] = '@';
trial[newBoxPos] = '$';
return new string(trial);
}
private bool IsSolved(string trialBoard)
{
for (int i = 0; i < trialBoard.Length; i++)
if ((destBoard[i] == '.')
!= (trialBoard[i] == '$'))
return false;
return true;
}
private string Solve()
{
char[,] dirLabels = { { 'u', 'U' }, { 'r', 'R' }, { 'd', 'D' }, { 'l', 'L' } };
int[,] dirs = { { 0, -1 }, { 1, 0 }, { 0, 1 }, { -1, 0 } };
ISet<string> history = new HashSet<string>();
LinkedList<Board> open = new LinkedList<Board>();
history.Add(currBoard);
open.AddLast(new Board(currBoard, string.Empty, playerX, playerY));
while (!open.Count.Equals(0))
{
Board item = open.First();
open.RemoveFirst();
string cur = item.Cur;
string sol = item.Sol;
int x = item.X;
int y = item.Y;
for (int i = 0; i < dirs.GetLength(0); i++)
{
string trial = cur;
int dx = dirs[i, 0];
int dy = dirs[i, 1];
// are we standing next to a box ?
if (trial[(y + dy) * nCols + x + dx] == '$')
{
// can we push it ?
if ((trial = Push(x, y, dx, dy, trial)) != null)
{
// or did we already try this one ?
if (!history.Contains(trial))
{
string newSol = sol + dirLabels[i, 1];
if (IsSolved(trial))
return newSol;
open.AddLast(new Board(trial, newSol, x + dx, y + dy));
history.Add(trial);
}
}
// otherwise try changing position
}
else if ((trial = Move(x, y, dx, dy, trial)) != null)
{
if (!history.Contains(trial))
{
string newSol = sol + dirLabels[i, 0];
open.AddLast(new Board(trial, newSol, x + dx, y + dy));
history.Add(trial);
}
}
}
}
return "No solution";
}
public static void Main(string[] a)
{
string level = "#######," +
"# #," +
"# #," +
"#. # #," +
"#. $$ #," +
"#.$$ #," +
"#.# @#," +
"#######";
System.Console.WriteLine("Level:\n");
foreach (string line in level.Split(','))
{
System.Console.WriteLine(line);
}
System.Console.WriteLine("\nSolution:\n");
System.Console.WriteLine(new SokobanSolver(level.Split(',')).Solve());
}
}
} |
http://rosettacode.org/wiki/Solve_a_Holy_Knight%27s_tour | Solve a Holy Knight's tour |
Chess coaches have been known to inflict a kind of torture on beginners by taking a chess board, placing pennies on some squares and requiring that a Knight's tour be constructed that avoids the squares with pennies.
This kind of knight's tour puzzle is similar to Hidato.
The present task is to produce a solution to such problems. At least demonstrate your program by solving the following:
Example
0 0 0
0 0 0
0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1 0 0 0 0 0 0
0 0 0
0 0 0
Note that the zeros represent the available squares, not the pennies.
Extra credit is available for other interesting examples.
Related tasks
A* search algorithm
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Hopido puzzle
Solve a Numbrix puzzle
Solve the no connection puzzle
| #Icon_and_Unicon | Icon and Unicon | global nCells, cMap, best
record Pos(r,c)
procedure main(A)
puzzle := showPuzzle("Input",readPuzzle())
QMouse(puzzle,findStart(puzzle),&null,0)
showPuzzle("Output", solvePuzzle(puzzle)) | write("No solution!")
end
procedure readPuzzle()
# Start with a reduced puzzle space
p := [[-1],[-1]]
nCells := maxCols := 0
every line := !&input do {
put(p,[: -1 | -1 | gencells(line) | -1 | -1 :])
maxCols <:= *p[-1]
}
every put(p, [-1]|[-1])
# Now normalize all rows to the same length
every i := 1 to *p do p[i] := [: !p[i] | (|-1\(maxCols - *p[i])) :]
return p
end
procedure gencells(s)
static WS, NWS
initial {
NWS := ~(WS := " \t")
cMap := table() # Map to/from internal model
cMap["#"] := -1; cMap["_"] := 0
cMap[-1] := " "; cMap[0] := "_"
}
s ? while not pos(0) do {
w := (tab(many(WS))|"", tab(many(NWS))) | break
w := numeric(\cMap[w]|w)
if -1 ~= w then nCells +:= 1
suspend w
}
end
procedure showPuzzle(label, p)
write(label," with ",nCells," cells:")
every r := !p do {
every c := !r do writes(right((\cMap[c]|c),*nCells+1))
write()
}
return p
end
procedure findStart(p)
if \p[r := !*p][c := !*p[r]] = 1 then return Pos(r,c)
end
procedure solvePuzzle(puzzle)
if path := \best then {
repeat {
loc := path.getLoc()
puzzle[loc.r][loc.c] := path.getVal()
path := \path.getParent() | break
}
return puzzle
}
end
class QMouse(puzzle, loc, parent, val)
method getVal(); return val; end
method getLoc(); return loc; end
method getParent(); return parent; end
method atEnd(); return nCells = val; end
method visit(r,c)
if /best & validPos(r,c) then return Pos(r,c)
end
method validPos(r,c)
v := val+1
xv := (0 <= puzzle[r][c]) | fail
if xv = (v|0) then { # make sure this path hasn't already gone there
ancestor := self
while xl := (ancestor := \ancestor.getParent()).getLoc() do
if (xl.r = r) & (xl.c = c) then fail
return
}
end
initially
val := val+1
if atEnd() then return best := self
QMouse(puzzle, visit(loc.r-2,loc.c-1), self, val)
QMouse(puzzle, visit(loc.r-2,loc.c+1), self, val)
QMouse(puzzle, visit(loc.r-1,loc.c+2), self, val)
QMouse(puzzle, visit(loc.r+1,loc.c+2), self, val)
QMouse(puzzle, visit(loc.r+2,loc.c+1), self, val)
QMouse(puzzle, visit(loc.r+2,loc.c-1), self, val)
QMouse(puzzle, visit(loc.r+1,loc.c-2), self, val)
QMouse(puzzle, visit(loc.r-1,loc.c-2), self, val)
end |
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #Perl | Perl | use SOAP::Lite;
print SOAP::Lite
-> service('http://example.com/soap/wsdl')
-> soapFunc("hello");
print SOAP::Lite
-> service('http://example.com/soap/wsdl')
-> anotherSoapFunc(34234); |
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #Phix | Phix | --
-- demo\rosetta\SOAP.exw
-- =====================
--
-- translated from https://gist.github.com/p120ph37/8281362ae9da042f3043
--
without js -- (libcurl)
include builtins\libcurl.e
include builtins\xml.e -- xml_encode()
function write_callback(atom pData, integer size, nmemb, atom /*pUserdata*/)
integer bytes_written = size*nmemb
puts(1,peek({pData,bytes_written}))
return bytes_written
end function
constant write_cb = call_back({'+',write_callback})
function compose_soap_frobnicate(string foo, bar, baz)
return sprintf("""
<?xml version="1.0" encoding="utf-8"?>
<soap:Envelope xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:xsd="http://www.w3.org/2001/XMLSchema"
xmlns:soap="http://schemas.xmlsoap.org/soap/envelope/">
<soap:Body>
<frobnicate xmlns="http://example.com/frobnicate">
<foo>%s</foo>
<bar>%s</bar>
<baz>%s</baz>
</frobnicate>
</soap:Body>
</soap:Envelope>""",{xml_encode(foo),xml_encode(bar),xml_encode(baz)})
end function
curl_global_init()
atom curl = curl_easy_init()
curl_easy_setopt(curl, CURLOPT_URL, "https://ameriwether.com/cgi-bin/info.pl")
string soap = compose_soap_frobnicate("'Ein'", ">Zwei<", "\"Drei\"")
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, soap)
curl_easy_setopt(curl, CURLOPT_HTTPAUTH, CURLAUTH_BASIC)
curl_easy_setopt(curl, CURLOPT_USERNAME, "user")
curl_easy_setopt(curl, CURLOPT_PASSWORD, "password")
curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, write_cb)
atom headers = NULL
headers = curl_slist_append(headers, "Content-Type: text/xml; charset=utf-8")
headers = curl_slist_append(headers, "SOAPAction: \"https://ameriwether.com/cgi-bin/info.pl/frobnicate\"")
headers = curl_slist_append(headers, "Accept: text/plain") -- Example output easier to read as plain text.
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers)
-- Make the example URL work even if your CA bundle is missing.
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYPEER, false)
CURLcode res = curl_easy_perform(curl)
if res!=CURLE_OK then
printf(2, "curl_easy_perform() failed: %s\n", curl_easy_strerror(res))
end if
curl_slist_free_all(headers)
curl_easy_cleanup(curl)
curl_global_cleanup()
|
http://rosettacode.org/wiki/Solve_a_Hopido_puzzle | Solve a Hopido puzzle | Hopido puzzles are similar to Hidato. The most important difference is that the only moves allowed are: hop over one tile diagonally; and over two tiles horizontally and vertically. It should be possible to start anywhere in the path, the end point isn't indicated and there are no intermediate clues. Hopido Design Post Mortem contains the following:
"Big puzzles represented another problem. Up until quite late in the project our puzzle solver was painfully slow with most puzzles above 7×7 tiles. Testing the solution from each starting point could take hours. If the tile layout was changed even a little, the whole puzzle had to be tested again. We were just about to give up the biggest puzzles entirely when our programmer suddenly came up with a magical algorithm that cut the testing process down to only minutes. Hooray!"
Knowing the kindness in the heart of every contributor to Rosetta Code, I know that we shall feel that as an act of humanity we must solve these puzzles for them in let's say milliseconds.
Example:
. 0 0 . 0 0 .
0 0 0 0 0 0 0
0 0 0 0 0 0 0
. 0 0 0 0 0 .
. . 0 0 0 . .
. . . 0 . . .
Extra credits are available for other interesting designs.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Numbrix puzzle
Solve the no connection puzzle
| #Phix | Phix | with javascript_semantics
sequence board
integer limit, tries
constant ROW = 1, COL = 2
constant moves = {{-2,-2},{-2,2},{2,-2},{2,2},{-3,0},{3,0},{0,-3},{0,3}}
function solve(integer row, integer col, integer n)
integer nrow, ncol
tries+= 1
if n>limit then return 1 end if
for move=1 to length(moves) do
nrow = row+moves[move][ROW]
ncol = col+moves[move][COL]*3
if nrow>=1 and nrow<=length(board)
and ncol>=1 and ncol<=length(board[row])
and board[nrow][ncol]=' ' then
board[nrow][ncol-1..ncol] = sprintf("%2d",n)
if solve(nrow,ncol,n+1) then return 1 end if
board[nrow][ncol-1..ncol] = " "
end if
end for
return 0
end function
procedure Hopido(sequence s, integer w, integer h)
integer rx, ry
atom t0 = time()
board = split(s,'\n')
limit = 0
for x=1 to h do
for y=3 to w*3 by 3 do
if board[x][y]='0' then
board[x][y] = ' '
limit += 1
end if
end for
end for
while 1 do
rx = rand(h)
ry = rand(w)*3
if board[rx][ry]=' ' then exit end if
end while
board[rx][ry] = '1'
tries = 0
if solve(rx,ry,2) then
puts(1,join(board,"\n"))
printf(1,"\nsolution found in %d tries (%3.2fs)\n",{tries,time()-t0})
else
puts(1,"no solutions found\n")
end if
end procedure
constant board1 = """
. 0 0 . 0 0 .
0 0 0 0 0 0 0
0 0 0 0 0 0 0
. 0 0 0 0 0 .
. . 0 0 0 . .
. . . 0 . . ."""
Hopido(board1,7,6)
|
http://rosettacode.org/wiki/Sort_an_array_of_composite_structures | Sort an array of composite structures |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of composite structures by a key.
For example, if you define a composite structure that presents a name-value pair (in pseudo-code):
Define structure pair such that:
name as a string
value as a string
and an array of such pairs:
x: array of pairs
then define a sort routine that sorts the array x by the key name.
This task can always be accomplished with Sorting Using a Custom Comparator.
If your language is not listed here, please see the other article.
| #Delphi | Delphi | program SortCompositeStructures;
{$APPTYPE CONSOLE}
uses SysUtils, Generics.Collections, Generics.Defaults;
type
TStructurePair = record
name: string;
value: string;
constructor Create(const aName, aValue: string);
end;
constructor TStructurePair.Create(const aName, aValue: string);
begin
name := aName;
value := aValue;
end;
var
lArray: array of TStructurePair;
begin
SetLength(lArray, 3);
lArray[0] := TStructurePair.Create('dog', 'rex');
lArray[1] := TStructurePair.Create('cat', 'simba');
lArray[2] := TStructurePair.Create('horse', 'trigger');
TArray.Sort<TStructurePair>(lArray , TDelegatedComparer<TStructurePair>.Construct(
function(const Left, Right: TStructurePair): Integer
begin
Result := CompareText(Left.Name, Right.Name);
end));
end. |
http://rosettacode.org/wiki/Sorting_algorithms/Counting_sort | Sorting algorithms/Counting sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
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)
Task
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 that can hold up to 32 bit integers, we see that in order to hold the counts, an array of up to 232 elements may be needed. I.E.: we need to hold a count value up to 232-1, which is a little over 4.2 Gbytes. So the counting sort is more practical when the range is (very) limited, and minimum and maximum values are known a priori. (However, as a counterexample, the use of sparse arrays minimizes the impact of the memory usage, as well as removing the need of having to know the minimum and maximum values a priori.)
| #Tcl | 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
}
# 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] + $value}]
}
# Demo code
for {set i 0} {$i < 50} {incr i} {lappend a [expr {1+ int(rand()*10)}]}
puts $a
puts [countingsort $a] |
http://rosettacode.org/wiki/Solve_the_no_connection_puzzle | Solve the no connection puzzle | You are given a box with eight holes labelled A-to-H, connected by fifteen straight lines in the pattern as shown below:
A B
/│\ /│\
/ │ X │ \
/ │/ \│ \
C───D───E───F
\ │\ /│ /
\ │ X │ /
\│/ \│/
G H
You are also given eight pegs numbered 1-to-8.
Objective
Place the eight pegs in the holes so that the (absolute) difference between any two numbers connected by any line is greater than one.
Example
In this attempt:
4 7
/│\ /│\
/ │ X │ \
/ │/ \│ \
8───1───6───2
\ │\ /│ /
\ │ X │ /
\│/ \│/
3 5
Note that 7 and 6 are connected and have a difference of 1, so it is not a solution.
Task
Produce and show here one solution to the puzzle.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve a Numbrix puzzle
4-rings or 4-squares puzzle
See also
No Connection Puzzle (youtube).
| #Groovy | Groovy | import java.util.stream.Collectors
import java.util.stream.IntStream
class NoConnection {
// adopted from Go
static int[][] links = [
[2, 3, 4], // A to C,D,E
[3, 4, 5], // B to D,E,F
[2, 4], // D to C, E
[5], // E to F
[2, 3, 4], // G to C,D,E
[3, 4, 5], // H to D,E,F
]
static int[] pegs = new int[8]
static void main(String[] args) {
List<Integer> vals = IntStream.range(1, 9)
.mapToObj({ it })
.collect(Collectors.toList())
while (true) {
Collections.shuffle(vals)
for (int i = 0; i < pegs.length; i++) {
pegs[i] = vals.get(i)
}
if (solved()) {
break
}
}
printResult()
}
static boolean solved() {
for (int i = 0; i < links.length; i++) {
for (int peg : links[i]) {
if (Math.abs(pegs[i] - peg) == 1) {
return false
}
}
}
return true
}
static void printResult() {
println(" ${pegs[0]} ${pegs[1]}")
println("${pegs[2]} ${pegs[3]} ${pegs[4]} ${pegs[5]}")
println(" ${pegs[6]} ${pegs[7]}")
}
} |
http://rosettacode.org/wiki/Solve_a_Numbrix_puzzle | Solve a Numbrix puzzle | Numbrix puzzles are similar to Hidato.
The most important difference is that it is only possible to move 1 node left, right, up, or down (sometimes referred to as the Von Neumann neighborhood).
Published puzzles also tend not to have holes in the grid and may not always indicate the end node.
Two examples follow:
Example 1
Problem.
0 0 0 0 0 0 0 0 0
0 0 46 45 0 55 74 0 0
0 38 0 0 43 0 0 78 0
0 35 0 0 0 0 0 71 0
0 0 33 0 0 0 59 0 0
0 17 0 0 0 0 0 67 0
0 18 0 0 11 0 0 64 0
0 0 24 21 0 1 2 0 0
0 0 0 0 0 0 0 0 0
Solution.
49 50 51 52 53 54 75 76 81
48 47 46 45 44 55 74 77 80
37 38 39 40 43 56 73 78 79
36 35 34 41 42 57 72 71 70
31 32 33 14 13 58 59 68 69
30 17 16 15 12 61 60 67 66
29 18 19 20 11 62 63 64 65
28 25 24 21 10 1 2 3 4
27 26 23 22 9 8 7 6 5
Example 2
Problem.
0 0 0 0 0 0 0 0 0
0 11 12 15 18 21 62 61 0
0 6 0 0 0 0 0 60 0
0 33 0 0 0 0 0 57 0
0 32 0 0 0 0 0 56 0
0 37 0 1 0 0 0 73 0
0 38 0 0 0 0 0 72 0
0 43 44 47 48 51 76 77 0
0 0 0 0 0 0 0 0 0
Solution.
9 10 13 14 19 20 63 64 65
8 11 12 15 18 21 62 61 66
7 6 5 16 17 22 59 60 67
34 33 4 3 24 23 58 57 68
35 32 31 2 25 54 55 56 69
36 37 30 1 26 53 74 73 70
39 38 29 28 27 52 75 72 71
40 43 44 47 48 51 76 77 78
41 42 45 46 49 50 81 80 79
Task
Write a program to solve puzzles of this ilk,
demonstrating your program by solving the above examples.
Extra credit for other interesting examples.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve the no connection puzzle
| #Racket | Racket | #lang racket
;;; Used in my solutions of:
;;; "Solve a Hidato Puzzle"
;;; "Solve a Holy Knights Tour"
;;; "Solve a Numbrix Puzzle"
;;; "Solve a Hopido Puzzle"
;;; As well as the solver being common, the solution renderer and input formats are common
(provide
;; Input: list of neighbour offsets
;; Output: a solver function:
;; Input: a puzzle
;; Output: either the solved puzzle or #f if impossible
solve-hidato-family
;; Input: puzzle
;; optional minimum cell width
;; Output: a pretty string that can be printed
puzzle->string)
;; Cell values are:
;; zero? - unvisited
;; positive? - nth visitied
;; else - unvisitable. In the puzzle layout, it's a _. In the hash it's a -1, so we can care less
;; about number type checking.
;; A puzzle is a sequence of sequences of cell values
;; We work with a puzzle as a hash keyed on (cons row-num col-num)
;; Take a puzzle and get a working hash of it
(define (puzzle->hash p)
(for*/hash
(((r row-num) (in-parallel p (in-naturals)))
((v col-num) (in-parallel r (in-naturals)))
#:when (integer? v))
(values (cons row-num col-num) v)))
;; Takes a hash and recreates a vector of vectors puzzle
(define (hash->puzzle h# (blank '_))
(define keys (hash-keys h#))
(define n-rows (add1 (car (argmax car keys))))
(define n-cols (add1 (cdr (argmax cdr keys))))
(for/vector #:length n-rows ((r n-rows))
(for/vector #:length n-cols ((c n-cols))
(hash-ref h# (cons r c) blank))))
;; See "provide" section for description
(define (puzzle->string p (w #f))
(match p
[#f "unsolved"]
[(? sequence? s)
(define (max-n-digits p)
(and p (add1 (order-of-magnitude (* (vector-length p) (vector-length (vector-ref p 0)))))))
(define min-width (or w (max-n-digits p)))
(string-join
(for/list ((r s))
(string-join
(for/list ((c r)) (~a c #:align 'right #:min-width min-width))
" "))
"\n")]))
(define ((solve-hidato-family neighbour-offsets) board)
(define board# (puzzle->hash board))
;; reverse mapping, will only take note of positive values
(define targets# (for/hash ([(k v) (in-hash board#)] #:when (positive? v)) (values v k)))
(define (neighbours r.c)
(for/list ((r+.c+ neighbour-offsets))
(match-define (list r+ c+) r+.c+)
(match-define (cons r c ) r.c)
(cons (+ r r+) (+ c c+))))
;; Count the moves, rather than check for "no more zeros" in puzzle
(define last-move (length (filter number? (hash-values board#))))
;; Depth first solution of the puzzle (we have to go deep, it's where the solutions are!
(define (inr-solve-pzl b# move r.c)
(cond
[(= move last-move) b#] ; no moves needed, so solved
[else
(define m++ (add1 move))
(for*/or ; check each neighbour as an option
((r.c+ (in-list (neighbours r.c)))
#:when (equal? (hash-ref targets# move r.c) r.c) ; we're where we should be!
#:when (match (hash-ref b# r.c+ -1) (0 #t) ((== m++) #t) (_ #f)))
(inr-solve-pzl (hash-set b# r.c+ m++) m++ r.c+))]))
(define (solution-starting-at n)
(define start-r.c (for/first (((k v) (in-hash board#)) #:when (= n v)) k))
(and start-r.c (inr-solve-pzl board# n start-r.c)))
(define sltn
(cond [(solution-starting-at 1) => values]
;; next clause starts from 0 for hopido
[(solution-starting-at 0) => values]))
(and sltn (hash->puzzle sltn))) |
http://rosettacode.org/wiki/Solve_a_Numbrix_puzzle | Solve a Numbrix puzzle | Numbrix puzzles are similar to Hidato.
The most important difference is that it is only possible to move 1 node left, right, up, or down (sometimes referred to as the Von Neumann neighborhood).
Published puzzles also tend not to have holes in the grid and may not always indicate the end node.
Two examples follow:
Example 1
Problem.
0 0 0 0 0 0 0 0 0
0 0 46 45 0 55 74 0 0
0 38 0 0 43 0 0 78 0
0 35 0 0 0 0 0 71 0
0 0 33 0 0 0 59 0 0
0 17 0 0 0 0 0 67 0
0 18 0 0 11 0 0 64 0
0 0 24 21 0 1 2 0 0
0 0 0 0 0 0 0 0 0
Solution.
49 50 51 52 53 54 75 76 81
48 47 46 45 44 55 74 77 80
37 38 39 40 43 56 73 78 79
36 35 34 41 42 57 72 71 70
31 32 33 14 13 58 59 68 69
30 17 16 15 12 61 60 67 66
29 18 19 20 11 62 63 64 65
28 25 24 21 10 1 2 3 4
27 26 23 22 9 8 7 6 5
Example 2
Problem.
0 0 0 0 0 0 0 0 0
0 11 12 15 18 21 62 61 0
0 6 0 0 0 0 0 60 0
0 33 0 0 0 0 0 57 0
0 32 0 0 0 0 0 56 0
0 37 0 1 0 0 0 73 0
0 38 0 0 0 0 0 72 0
0 43 44 47 48 51 76 77 0
0 0 0 0 0 0 0 0 0
Solution.
9 10 13 14 19 20 63 64 65
8 11 12 15 18 21 62 61 66
7 6 5 16 17 22 59 60 67
34 33 4 3 24 23 58 57 68
35 32 31 2 25 54 55 56 69
36 37 30 1 26 53 74 73 70
39 38 29 28 27 52 75 72 71
40 43 44 47 48 51 76 77 78
41 42 45 46 49 50 81 80 79
Task
Write a program to solve puzzles of this ilk,
demonstrating your program by solving the above examples.
Extra credit for other interesting examples.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve the no connection puzzle
| #Raku | Raku | my @adjacent = [-1, 0],
[ 0, -1], [ 0, 1],
[ 1, 0];
put "\n" xx 60;
solveboard q:to/END/;
__ __ __ __ __ __ __ __ __
__ __ 46 45 __ 55 74 __ __
__ 38 __ __ 43 __ __ 78 __
__ 35 __ __ __ __ __ 71 __
__ __ 33 __ __ __ 59 __ __
__ 17 __ __ __ __ __ 67 __
__ 18 __ __ 11 __ __ 64 __
__ __ 24 21 __ 1 2 __ __
__ __ __ __ __ __ __ __ __
END
# And
put "\n" xx 60;
solveboard q:to/END/;
0 0 0 0 0 0 0 0 0
0 11 12 15 18 21 62 61 0
0 6 0 0 0 0 0 60 0
0 33 0 0 0 0 0 57 0
0 32 0 0 0 0 0 56 0
0 37 0 1 0 0 0 73 0
0 38 0 0 0 0 0 72 0
0 43 44 47 48 51 76 77 0
0 0 0 0 0 0 0 0 0
END
sub solveboard($board) {
my $max = +$board.comb(/\w+/);
my $width = $max.chars;
my @grid;
my @known;
my @neigh;
my @degree;
@grid = $board.lines.map: -> $line {
[ $line.words.map: { /^_/ ?? 0 !! /^\./ ?? Rat !! $_ } ]
}
sub neighbors($y,$x --> List) {
eager gather for @adjacent {
my $y1 = $y + .[0];
my $x1 = $x + .[1];
take [$y1,$x1] if defined @grid[$y1][$x1];
}
}
for ^@grid -> $y {
for ^@grid[$y] -> $x {
if @grid[$y][$x] -> $v {
@known[$v] = [$y,$x];
}
if @grid[$y][$x].defined {
@neigh[$y][$x] = neighbors($y,$x);
@degree[$y][$x] = +@neigh[$y][$x];
}
}
}
print "\e[0H\e[0J";
my $tries = 0;
try_fill 1, @known[1];
sub try_fill($v, $coord [$y,$x] --> Bool) {
return True if $v > $max;
$tries++;
my $old = @grid[$y][$x];
return False if +$old and $old != $v;
return False if @known[$v] and @known[$v] !eqv $coord;
@grid[$y][$x] = $v; # conjecture grid value
print "\e[0H"; # show conjectured board
for @grid -> $r {
say do for @$r {
when Rat { ' ' x $width }
when 0 { '_' x $width }
default { .fmt("%{$width}d") }
}
}
my @neighbors = @neigh[$y][$x][];
my @degrees;
for @neighbors -> \n [$yy,$xx] {
my $d = --@degree[$yy][$xx]; # conjecture new degrees
push @degrees[$d], n; # and categorize by degree
}
for @degrees.grep(*.defined) -> @ties {
for @ties.reverse { # reverse works better for this hidato anyway
return True if try_fill $v + 1, $_;
}
}
for @neighbors -> [$yy,$xx] {
++@degree[$yy][$xx]; # undo degree conjectures
}
@grid[$y][$x] = $old; # undo grid value conjecture
return False;
}
say "$tries tries";
}
|
http://rosettacode.org/wiki/Sort_an_integer_array | Sort an integer array |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of integers in ascending numerical order.
Use a sorting facility provided by the language/library if possible.
| #D.C3.A9j.C3.A0_Vu | Déjà Vu | !. sort [ 5 4 3 2 1 ] |
http://rosettacode.org/wiki/Sort_an_integer_array | Sort an integer array |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of integers in ascending numerical order.
Use a sorting facility provided by the language/library if possible.
| #E | E | [2,4,3,1,2].sort() |
http://rosettacode.org/wiki/Sort_a_list_of_object_identifiers | Sort a list of object identifiers |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Object identifiers (OID)
Task
Show how to sort a list of OIDs, in their natural sort order.
Details
An OID consists of one or more non-negative integers in base 10, separated by dots. It starts and ends with a number.
Their natural sort order is lexicographical with regard to the dot-separated fields, using numeric comparison between fields.
Test case
Input (list of strings)
Output (list of strings)
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11150.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11150.3.4.0.1
Related tasks
Natural sorting
Sort using a custom comparator
| #M2000_Interpreter | M2000 Interpreter |
Module CheckIt {
Flush ' empty stack of values
Data "1.3.6.1.4.1.11.2.17.19.3.4.0.4" , "1.3.6.1.4.1.11.2.17.19.3.4.0.1", "1.3.6.1.4.1.11150.3.4.0.1"
Data "1.3.6.1.4.1.11.2.17.19.3.4.0.10", "1.3.6.1.4.1.11.2.17.5.2.0.79", "1.3.6.1.4.1.11150.3.4.0"
\\ Inventories of type queue can get same keys, and have sort where numbers (float type) as part of key count as numbers
Inventory queue OID
\\ prepare keys (replace dot to #)
While not empty {
Append OID, Replace$(".","#", letter$)
}
Sort Ascending OID
n=Each(OID)
a$=""
While n {
\\ replace # to dot
a$+=Replace$("#",".", Eval$(n))+{
}
}
Clipboard a$
Report a$
}
Checkit
|
http://rosettacode.org/wiki/Sort_a_list_of_object_identifiers | Sort a list of object identifiers |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Object identifiers (OID)
Task
Show how to sort a list of OIDs, in their natural sort order.
Details
An OID consists of one or more non-negative integers in base 10, separated by dots. It starts and ends with a number.
Their natural sort order is lexicographical with regard to the dot-separated fields, using numeric comparison between fields.
Test case
Input (list of strings)
Output (list of strings)
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11150.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11150.3.4.0.1
Related tasks
Natural sorting
Sort using a custom comparator
| #Mathematica_.2F_Wolfram_Language | Mathematica / Wolfram Language | in = {"1.3.6.1.4.1.11.2.17.19.3.4.0.10",
"1.3.6.1.4.1.11.2.17.5.2.0.79", "1.3.6.1.4.1.11.2.17.19.3.4.0.4",
"1.3.6.1.4.1.11150.3.4.0.1", "1.3.6.1.4.1.11.2.17.19.3.4.0.1",
"1.3.6.1.4.1.11150.3.4.0"};
in = StringSplit[#, "."] & /@ in;
in = Map[ToExpression, in, {2}];
Column[StringRiffle[ToString /@ #, "."] & /@ LexicographicSort[in]] |
http://rosettacode.org/wiki/Sort_disjoint_sublist | Sort disjoint sublist |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Given a list of values and a set of integer indices into that value list, the task is to sort the values at the given indices, while preserving the values at indices outside the set of those to be sorted.
Make your example work with the following list of values and set of indices:
Values: [7, 6, 5, 4, 3, 2, 1, 0]
Indices: {6, 1, 7}
Where the correct result would be:
[7, 0, 5, 4, 3, 2, 1, 6].
In case of one-based indexing, rather than the zero-based indexing above, you would use the indices {7, 2, 8} instead.
The indices are described as a set rather than a list but any collection-type of those indices without duplication may be used as long as the example is insensitive to the order of indices given.
Cf.
Order disjoint list items
| #Icon_and_Unicon | Icon and Unicon |
link sort # get the 'isort' procedure for sorting a list
procedure sortDisjoint (items, indices)
indices := isort (indices) # sort indices into a list
result := copy (items)
values := []
every put (values, result[!indices])
values := isort (values)
every result[!indices] := pop (values)
return result
end
procedure main ()
# set up and do the sort
items := [7, 6, 5, 4, 3, 2, 1, 0]
indices := set(7, 2, 8) # note, Icon lists 1-based
result := sortDisjoint (items, indices)
# display result
every writes (!items || " ")
write ()
every writes (!indices || " ")
write ()
every writes (!result || " ")
write ()
end
|
http://rosettacode.org/wiki/Sort_stability | Sort stability |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
When sorting records in a table by a particular column or field, a stable sort will always retain the relative order of records that have the same key.
Example
In this table of countries and cities, a stable sort on the second column, the cities, would keep the US Birmingham above the UK Birmingham.
(Although an unstable sort might, in this case, place the US Birmingham above the UK Birmingham, a stable sort routine would guarantee it).
UK London
US New York
US Birmingham
UK Birmingham
Similarly, stable sorting on just the first column would generate UK London as the first item and US Birmingham as the last item (since the order of the elements having the same first word – UK or US – would be maintained).
Task
Examine the documentation on any in-built sort routines supplied by a language.
Indicate if an in-built routine is supplied
If supplied, indicate whether or not the in-built routine is stable.
(This Wikipedia table shows the stability of some common sort routines).
| #Tcl | Tcl | import "/sort" for Cmp, Sort
var data = [ ["UK", "London"], ["US", "New York"], ["US", "Birmingham"], ["UK", "Birmingham"] ]
// for sorting by country
var cmp = Fn.new { |p1, p2| Cmp.string.call(p1[0], p2[0]) }
// for sorting by city
var cmp2 = Fn.new { |p1, p2| Cmp.string.call(p1[1], p2[1]) }
System.print("Initial data:")
System.print(" " + data.join("\n "))
System.print("\nSorted by country:")
var data2 = data.toList
Sort.insertion(data2, cmp)
System.print(" " + data2.join("\n "))
System.print("\nSorted by city:")
var data3 = data.toList
Sort.insertion(data3, cmp2)
System.print(" " + data3.join("\n ")) |
http://rosettacode.org/wiki/Sort_stability | Sort stability |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
When sorting records in a table by a particular column or field, a stable sort will always retain the relative order of records that have the same key.
Example
In this table of countries and cities, a stable sort on the second column, the cities, would keep the US Birmingham above the UK Birmingham.
(Although an unstable sort might, in this case, place the US Birmingham above the UK Birmingham, a stable sort routine would guarantee it).
UK London
US New York
US Birmingham
UK Birmingham
Similarly, stable sorting on just the first column would generate UK London as the first item and US Birmingham as the last item (since the order of the elements having the same first word – UK or US – would be maintained).
Task
Examine the documentation on any in-built sort routines supplied by a language.
Indicate if an in-built routine is supplied
If supplied, indicate whether or not the in-built routine is stable.
(This Wikipedia table shows the stability of some common sort routines).
| #TXR | TXR | import "/sort" for Cmp, Sort
var data = [ ["UK", "London"], ["US", "New York"], ["US", "Birmingham"], ["UK", "Birmingham"] ]
// for sorting by country
var cmp = Fn.new { |p1, p2| Cmp.string.call(p1[0], p2[0]) }
// for sorting by city
var cmp2 = Fn.new { |p1, p2| Cmp.string.call(p1[1], p2[1]) }
System.print("Initial data:")
System.print(" " + data.join("\n "))
System.print("\nSorted by country:")
var data2 = data.toList
Sort.insertion(data2, cmp)
System.print(" " + data2.join("\n "))
System.print("\nSorted by city:")
var data3 = data.toList
Sort.insertion(data3, cmp2)
System.print(" " + data3.join("\n ")) |
http://rosettacode.org/wiki/Sort_three_variables | Sort three variables |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort (the values of) three variables (X, Y, and Z) that contain any value (numbers and/or literals).
If that isn't possible in your language, then just sort numbers (and note if they can be floating point, integer, or other).
I.E.: (for the three variables x, y, and z), where:
x = 'lions, tigers, and'
y = 'bears, oh my!'
z = '(from the "Wizard of OZ")'
After sorting, the three variables would hold:
x = '(from the "Wizard of OZ")'
y = 'bears, oh my!'
z = 'lions, tigers, and'
For numeric value sorting, use:
I.E.: (for the three variables x, y, and z), where:
x = 77444
y = -12
z = 0
After sorting, the three variables would hold:
x = -12
y = 0
z = 77444
The variables should contain some form of a number, but specify if the algorithm
used can be for floating point or integers. Note any limitations.
The values may or may not be unique.
The method used for sorting can be any algorithm; the goal is to use the most idiomatic in the computer programming language used.
More than one algorithm could be shown if one isn't clearly the better choice.
One algorithm could be:
• store the three variables x, y, and z
into an array (or a list) A
• sort (the three elements of) the array A
• extract the three elements from the array and place them in the
variables x, y, and z in order of extraction
Another algorithm (only for numeric values):
x= 77444
y= -12
z= 0
low= x
mid= y
high= z
x= min(low, mid, high) /*determine the lowest value of X,Y,Z. */
z= max(low, mid, high) /* " " highest " " " " " */
y= low + mid + high - x - z /* " " middle " " " " " */
Show the results of the sort here on this page using at least the values of those shown above.
| #Python | Python |
#python2 Code for Sorting 3 values
a= raw_input("Enter values one by one ..\n1.").strip()
b=raw_input("2.").strip()
c=raw_input("3.").strip()
if a>b :
a,b = b,a
if a>c:
a,c = c,a
if b>c:
b,c = c,b
print(str(a)+" "+str(b)+" "+str(c))
|
http://rosettacode.org/wiki/Sort_three_variables | Sort three variables |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort (the values of) three variables (X, Y, and Z) that contain any value (numbers and/or literals).
If that isn't possible in your language, then just sort numbers (and note if they can be floating point, integer, or other).
I.E.: (for the three variables x, y, and z), where:
x = 'lions, tigers, and'
y = 'bears, oh my!'
z = '(from the "Wizard of OZ")'
After sorting, the three variables would hold:
x = '(from the "Wizard of OZ")'
y = 'bears, oh my!'
z = 'lions, tigers, and'
For numeric value sorting, use:
I.E.: (for the three variables x, y, and z), where:
x = 77444
y = -12
z = 0
After sorting, the three variables would hold:
x = -12
y = 0
z = 77444
The variables should contain some form of a number, but specify if the algorithm
used can be for floating point or integers. Note any limitations.
The values may or may not be unique.
The method used for sorting can be any algorithm; the goal is to use the most idiomatic in the computer programming language used.
More than one algorithm could be shown if one isn't clearly the better choice.
One algorithm could be:
• store the three variables x, y, and z
into an array (or a list) A
• sort (the three elements of) the array A
• extract the three elements from the array and place them in the
variables x, y, and z in order of extraction
Another algorithm (only for numeric values):
x= 77444
y= -12
z= 0
low= x
mid= y
high= z
x= min(low, mid, high) /*determine the lowest value of X,Y,Z. */
z= max(low, mid, high) /* " " highest " " " " " */
y= low + mid + high - x - z /* " " middle " " " " " */
Show the results of the sort here on this page using at least the values of those shown above.
| #Quackery | Quackery | [ stack ] is x
[ stack ] is y
[ stack ] is z
$ 'lions, tigers, and' x put
$ 'bears, oh my!' y put
$ '(from the "Wizard of OZ")' z put
x take y take z take
3 pack sortwith $> unpack
z put y put x put
say " x = " x take echo$ cr
say " y = " y take echo$ cr
say " z = " z take echo$ cr
cr
77444 x put
-12 y put
0 z put
x take y take z take
3 pack sortwith > unpack
z put y put x put
say " x = " x take echo cr
say " y = " y take echo cr
say " z = " z take echo cr |
http://rosettacode.org/wiki/Sort_using_a_custom_comparator | Sort using a custom comparator |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of strings in order of descending length, and in ascending lexicographic order for strings of equal length.
Use a sorting facility provided by the language/library, combined with your own callback comparison function.
Note: Lexicographic order is case-insensitive.
| #MAXScript | MAXScript | fn myCmp str1 str2 =
(
case of
(
(str1.count < str2.count): 1
(str1.count > str2.count): -1
default:(
-- String compare is case sensitive, name compare isn't. Hence...
str1 = str1 as name
str2 = str2 as name
case of
(
(str1 > str2): 1
(str1 < str2): -1
default: 0
)
)
)
)
strList = #("Here", "are", "some", "sample", "strings", "to", "be", "sorted")
qSort strList myCmp
print strList |
http://rosettacode.org/wiki/Sort_using_a_custom_comparator | Sort using a custom comparator |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of strings in order of descending length, and in ascending lexicographic order for strings of equal length.
Use a sorting facility provided by the language/library, combined with your own callback comparison function.
Note: Lexicographic order is case-insensitive.
| #min | min | ("Here" "are" "some" "sample" "strings" "to" "be" "sorted")
(((length) (length)) spread <) sort print |
http://rosettacode.org/wiki/Sorting_algorithms/Comb_sort | Sorting algorithms/Comb sort | Sorting algorithms/Comb sort
You are encouraged to solve this task according to the task description, using any language you may know.
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a comb sort.
The Comb Sort is a variant of the Bubble Sort.
Like the Shell sort, the Comb Sort increases the gap used in comparisons and exchanges.
Dividing the gap by
(
1
−
e
−
φ
)
−
1
≈
1.247330950103979
{\displaystyle (1-e^{-\varphi })^{-1}\approx 1.247330950103979}
works best, but 1.3 may be more practical.
Some implementations use the insertion sort once the gap is less than a certain amount.
Also see
the Wikipedia article: Comb sort.
Variants:
Combsort11 makes sure the gap ends in (11, 8, 6, 4, 3, 2, 1), which is significantly faster than the other two possible endings.
Combsort with different endings changes to a more efficient sort when the data is almost sorted (when the gap is small). Comb sort with a low gap isn't much better than the Bubble Sort.
Pseudocode:
function combsort(array input)
gap := input.size //initialize gap size
loop until gap = 1 and swaps = 0
//update the gap value for a next comb. Below is an example
gap := int(gap / 1.25)
if gap < 1
//minimum gap is 1
gap := 1
end if
i := 0
swaps := 0 //see Bubble Sort for an explanation
//a single "comb" over the input list
loop until i + gap >= input.size //see Shell sort for similar idea
if input[i] > input[i+gap]
swap(input[i], input[i+gap])
swaps := 1 // Flag a swap has occurred, so the
// list is not guaranteed sorted
end if
i := i + 1
end loop
end loop
end function
| #Vlang | Vlang | fn main() {
mut a := [170, 45, 75, -90, -802, 24, 2, 66]
println("before: $a")
comb_sort(mut a)
println("after: $a")
}
fn comb_sort(mut a []int) {
if a.len < 2 {
return
}
for gap := a.len; ; {
if gap > 1 {
gap = gap * 4 / 5
}
mut swapped := false
for i := 0; ; {
if a[i] > a[i+gap] {
a[i], a[i+gap] = a[i+gap], a[i]
swapped = true
}
i++
if i+gap >= a.len {
break
}
}
if gap == 1 && !swapped {
break
}
}
} |
http://rosettacode.org/wiki/Sorting_algorithms/Bogosort | Sorting algorithms/Bogosort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Bogosort a list of numbers.
Bogosort simply shuffles a collection randomly until it is sorted.
"Bogosort" is a perversely inefficient algorithm only used as an in-joke.
Its average run-time is O(n!) because the chance that any given shuffle of a set will end up in sorted order is about one in n factorial, and the worst case is infinite since there's no guarantee that a random shuffling will ever produce a sorted sequence.
Its best case is O(n) since a single pass through the elements may suffice to order them.
Pseudocode:
while not InOrder(list) do
Shuffle(list)
done
The Knuth shuffle may be used to implement the shuffle part of this algorithm.
| #Sidef | Sidef | func in_order(a) {
return true if (a.len <= 1);
var first = a[0];
a.ft(1).all { |elem| first <= elem ? do { first = elem; true } : false }
}
func bogosort(a) {
a.shuffle! while !in_order(a);
return a;
}
var arr = 5.of{ 100.rand.int };
say "Before: #{arr}";
say "After: #{bogosort(arr)}"; |
http://rosettacode.org/wiki/Sorting_algorithms/Bubble_sort | Sorting algorithms/Bubble sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
A bubble sort is generally considered to be the simplest sorting algorithm.
A bubble sort is also known as a sinking sort.
Because of its simplicity and ease of visualization, it is often taught in introductory computer science courses.
Because of its abysmal O(n2) performance, it is not used often for large (or even medium-sized) datasets.
The bubble sort works by passing sequentially over a list, comparing each value to the one immediately after it. If the first value is greater than the second, their positions are switched. Over a number of passes, at most equal to the number of elements in the list, all of the values drift into their correct positions (large values "bubble" rapidly toward the end, pushing others down around them).
Because each pass finds the maximum item and puts it at the end, the portion of the list to be sorted can be reduced at each pass.
A boolean variable is used to track whether any changes have been made in the current pass; when a pass completes without changing anything, the algorithm exits.
This can be expressed in pseudo-code as follows (assuming 1-based indexing):
repeat
if itemCount <= 1
return
hasChanged := false
decrement itemCount
repeat with index from 1 to itemCount
if (item at index) > (item at (index + 1))
swap (item at index) with (item at (index + 1))
hasChanged := true
until hasChanged = false
Task
Sort an array of elements using the bubble sort algorithm. The elements must have a total order and the index of the array can be of any discrete type. For languages where this is not possible, sort an array of integers.
References
The article on Wikipedia.
Dance interpretation.
| #ERRE | ERRE |
PROGRAM BUBBLE_SORT
DIM FLIPS%,N,J
DIM A%[100]
BEGIN
! init random number generator
RANDOMIZE(TIMER)
! fills array A% with random data
FOR N=1 TO UBOUND(A%,1) DO
A%[N]=RND(1)*256
END FOR
! sort array
FLIPS%=TRUE
WHILE FLIPS% DO
FLIPS%=FALSE
FOR N=1 TO UBOUND(A%,1)-1 DO
IF A%[N]>A%[N+1] THEN
SWAP(A%[N],A%[N+1])
FLIPS%=TRUE
END IF
END FOR
END WHILE
! print sorted array
FOR N=1 TO UBOUND(A%,1) DO
PRINT(A%[N];)
END FOR
PRINT
END PROGRAM
|
http://rosettacode.org/wiki/Sorting_algorithms/Gnome_sort | Sorting algorithms/Gnome sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Gnome 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)
Gnome sort is a sorting algorithm which is similar to Insertion sort, except that moving an element to its proper place is accomplished by a series of swaps, as in Bubble Sort.
The pseudocode for the algorithm is:
function gnomeSort(a[0..size-1])
i := 1
j := 2
while i < size do
if a[i-1] <= a[i] then
// for descending sort, use >= for comparison
i := j
j := j + 1
else
swap a[i-1] and a[i]
i := i - 1
if i = 0 then
i := j
j := j + 1
endif
endif
done
Task
Implement the Gnome sort in your language to sort an array (or list) of numbers.
| #Octave | Octave | function s = gnomesort(v)
i = 2; j = 3;
while ( i <= length(v) )
if ( v(i-1) <= v(i) )
i = j;
j++;
else
t = v(i-1);
v(i-1) = v(i);
v(i) = t;
i--;
if ( i == 1 )
i = j;
j++;
endif
endif
endwhile
s = v;
endfunction |
http://rosettacode.org/wiki/Sorting_algorithms/Cocktail_sort | Sorting algorithms/Cocktail sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Cocktail 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)
The cocktail shaker sort is an improvement on the Bubble Sort.
The improvement is basically that values "bubble" both directions through the array, because on each iteration the cocktail shaker sort bubble sorts once forwards and once backwards. Pseudocode for the algorithm (from wikipedia):
function cocktailSort( A : list of sortable items )
do
swapped := false
for each i in 0 to length( A ) - 2 do
if A[ i ] > A[ i+1 ] then // test whether the two
// elements are in the wrong
// order
swap( A[ i ], A[ i+1 ] ) // let the two elements
// change places
swapped := true;
if swapped = false then
// we can exit the outer loop here if no swaps occurred.
break do-while loop;
swapped := false
for each i in length( A ) - 2 down to 0 do
if A[ i ] > A[ i+1 ] then
swap( A[ i ], A[ i+1 ] )
swapped := true;
while swapped; // if no elements have been swapped,
// then the list is sorted
Related task
cocktail sort with shifting bounds
| #MAXScript | MAXScript | fn cocktailSort arr =
(
local swapped = true
while swapped do
(
swapped = false
for i in 1 to (arr.count-1) do
(
if arr[i] > arr[i+1] then
(
swap arr[i] arr[i+1]
swapped = true
)
)
if not swapped then exit
for i in (arr.count-1) to 1 by -1 do
(
if arr[i] > arr[i+1] then
(
swap arr[i] arr[i+1]
swapped = true
)
)
)
return arr
) |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #AutoIt | AutoIt | Func _HelloWorldSocket()
TCPStartup()
$Socket = TCPConnect("127.0.0.1", 256)
TCPSend($Socket, "Hello World")
TCPCloseSocket($Socket)
TCPShutdown()
EndFunc |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #AWK | AWK | BEGIN {
s="/inet/tcp/256/0/0"
print strftime() |& s
close(s)
}
|
http://rosettacode.org/wiki/Sleeping_Beauty_problem | Sleeping Beauty problem | Background on the task
In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.
If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.
Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always
estimate the probability of heads as 1/2, since she does not have any additional information. Others
have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice
as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate
should be 1/3 heads.
Task
Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the
proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty
is asked the question.
| #11l | 11l | F sleeping_beauty_experiment(repetitions)
‘
Run the Sleeping Beauty Problem experiment `repetitions` times, checking to see
how often we had heads on waking Sleeping Beauty.
’
V gotheadsonwaking = 0
V wakenings = 0
L 0 .< repetitions
V coin_result = random:choice([‘heads’, ‘tails’])
// On Monday, we check if we got heads.
wakenings++
I coin_result == ‘heads’
gotheadsonwaking++
// If tails, we do this again, but of course we will not add as if it was heads..
I coin_result == ‘tails’
wakenings++
I coin_result == ‘heads’
gotheadsonwaking++ // never done
print(‘Wakenings over ’repetitions‘ experiments: ’wakenings)
R Float(gotheadsonwaking) / wakenings
V CREDENCE = sleeping_beauty_experiment(1'000'000)
print(‘Results of experiment: Sleeping Beauty should estimate a credence of: ’CREDENCE) |
http://rosettacode.org/wiki/Smarandache_prime-digital_sequence | Smarandache prime-digital sequence | The Smarandache prime-digital sequence (SPDS for brevity) is the sequence of primes whose digits are themselves prime.
For example 257 is an element of this sequence because it is prime itself and its digits: 2, 5 and 7 are also prime.
Task
Show the first 25 SPDS primes.
Show the hundredth SPDS prime.
See also
OEIS A019546: Primes whose digits are primes.
https://www.scribd.com/document/214851583/On-the-Smarandache-prime-digital-subsequence-sequences
| #AWK | AWK |
# syntax: GAWK -f SMARANDACHE_PRIME-DIGITAL_SEQUENCE.AWK
BEGIN {
limit = 25
printf("1-%d:",limit)
while (1) {
if (is_prime(++n)) {
if (all_digits_prime(n) == 1) {
if (++count <= limit) {
printf(" %d",n)
}
if (count == 100) {
printf("\n%d: %d\n",count,n)
break
}
}
}
}
exit(0)
}
function all_digits_prime(n, i) {
for (i=1; i<=length(n); i++) {
if (!is_prime(substr(n,i,1))) {
return(0)
}
}
return(1)
}
function is_prime(x, i) {
if (x <= 1) {
return(0)
}
for (i=2; i<=int(sqrt(x)); i++) {
if (x % i == 0) {
return(0)
}
}
return(1)
}
|
http://rosettacode.org/wiki/Smarandache_prime-digital_sequence | Smarandache prime-digital sequence | The Smarandache prime-digital sequence (SPDS for brevity) is the sequence of primes whose digits are themselves prime.
For example 257 is an element of this sequence because it is prime itself and its digits: 2, 5 and 7 are also prime.
Task
Show the first 25 SPDS primes.
Show the hundredth SPDS prime.
See also
OEIS A019546: Primes whose digits are primes.
https://www.scribd.com/document/214851583/On-the-Smarandache-prime-digital-subsequence-sequences
| #BASIC256 | BASIC256 | arraybase 1
dim smar(100)
smar[1] = 2
cont = 1
i = 1
print 1, 2
while cont < 100
i += 2
if not isPrime(i) then continue while
for j = 1 to length(string(i))
digit = int(mid(string(i),j,1))
if not isPrime(digit) then continue while
next j
cont += 1
smar[cont] = i
if cont = 100 or cont <= 25 then print cont, smar[cont]
end while
end
function isPrime(v)
if v < 2 then return False
if v mod 2 = 0 then return v = 2
if v mod 3 = 0 then return v = 3
d = 5
while d * d <= v
if v mod d = 0 then return False else d += 2
end while
return True
end function |
http://rosettacode.org/wiki/Sokoban | Sokoban | Demonstrate how to find a solution to a given Sokoban level. For the purpose of this task (formally, a PSPACE-complete problem) any method may be used. However a move-optimal or push-optimal (or any other -optimal) solutions is preferred.
Sokoban levels are usually stored as a character array where
space is an empty square
# is a wall
@ is the player
$ is a box
. is a goal
+ is the player on a goal
* is a box on a goal
#######
# #
# #
#. # #
#. $$ #
#.$$ #
#.# @#
#######
Sokoban solutions are usually stored in the LURD format, where lowercase l, u, r and d represent a move in that (left, up, right, down) direction and capital LURD represents a push.
Please state if you use some other format for either the input or output, and why.
For more information, see the Sokoban wiki.
| #C.2B.2B | C++ | #include <iostream>
#include <string>
#include <vector>
#include <queue>
#include <regex>
#include <tuple>
#include <set>
#include <array>
using namespace std;
class Board
{
public:
vector<vector<char>> sData, dData;
int px, py;
Board(string b)
{
regex pattern("([^\\n]+)\\n?");
sregex_iterator end, iter(b.begin(), b.end(), pattern);
int w = 0;
vector<string> data;
for(; iter != end; ++iter){
data.push_back((*iter)[1]);
w = max(w, (*iter)[1].length());
}
for(int v = 0; v < data.size(); ++v){
vector<char> sTemp, dTemp;
for(int u = 0; u < w; ++u){
if(u > data[v].size()){
sTemp.push_back(' ');
dTemp.push_back(' ');
}else{
char s = ' ', d = ' ', c = data[v][u];
if(c == '#')
s = '#';
else if(c == '.' || c == '*' || c == '+')
s = '.';
if(c == '@' || c == '+'){
d = '@';
px = u;
py = v;
}else if(c == '$' || c == '*')
d = '*';
sTemp.push_back(s);
dTemp.push_back(d);
}
}
sData.push_back(sTemp);
dData.push_back(dTemp);
}
}
bool move(int x, int y, int dx, int dy, vector<vector<char>> &data)
{
if(sData[y+dy][x+dx] == '#' || data[y+dy][x+dx] != ' ')
return false;
data[y][x] = ' ';
data[y+dy][x+dx] = '@';
return true;
}
bool push(int x, int y, int dx, int dy, vector<vector<char>> &data)
{
if(sData[y+2*dy][x+2*dx] == '#' || data[y+2*dy][x+2*dx] != ' ')
return false;
data[y][x] = ' ';
data[y+dy][x+dx] = '@';
data[y+2*dy][x+2*dx] = '*';
return true;
}
bool isSolved(const vector<vector<char>> &data)
{
for(int v = 0; v < data.size(); ++v)
for(int u = 0; u < data[v].size(); ++u)
if((sData[v][u] == '.') ^ (data[v][u] == '*'))
return false;
return true;
}
string solve()
{
set<vector<vector<char>>> visited;
queue<tuple<vector<vector<char>>, string, int, int>> open;
open.push(make_tuple(dData, "", px, py));
visited.insert(dData);
array<tuple<int, int, char, char>, 4> dirs;
dirs[0] = make_tuple(0, -1, 'u', 'U');
dirs[1] = make_tuple(1, 0, 'r', 'R');
dirs[2] = make_tuple(0, 1, 'd', 'D');
dirs[3] = make_tuple(-1, 0, 'l', 'L');
while(open.size() > 0){
vector<vector<char>> temp, cur = get<0>(open.front());
string cSol = get<1>(open.front());
int x = get<2>(open.front());
int y = get<3>(open.front());
open.pop();
for(int i = 0; i < 4; ++i){
temp = cur;
int dx = get<0>(dirs[i]);
int dy = get<1>(dirs[i]);
if(temp[y+dy][x+dx] == '*'){
if(push(x, y, dx, dy, temp) && (visited.find(temp) == visited.end())){
if(isSolved(temp))
return cSol + get<3>(dirs[i]);
open.push(make_tuple(temp, cSol + get<3>(dirs[i]), x+dx, y+dy));
visited.insert(temp);
}
}else if(move(x, y, dx, dy, temp) && (visited.find(temp) == visited.end())){
if(isSolved(temp))
return cSol + get<2>(dirs[i]);
open.push(make_tuple(temp, cSol + get<2>(dirs[i]), x+dx, y+dy));
visited.insert(temp);
}
}
}
return "No solution";
}
};
int main()
{
string level =
"#######\n"
"# #\n"
"# #\n"
"#. # #\n"
"#. $$ #\n"
"#.$$ #\n"
"#.# @#\n"
"#######";
Board b(level);
cout << level << endl << endl << b.solve() << endl;
return 0;
} |
http://rosettacode.org/wiki/Solve_a_Holy_Knight%27s_tour | Solve a Holy Knight's tour |
Chess coaches have been known to inflict a kind of torture on beginners by taking a chess board, placing pennies on some squares and requiring that a Knight's tour be constructed that avoids the squares with pennies.
This kind of knight's tour puzzle is similar to Hidato.
The present task is to produce a solution to such problems. At least demonstrate your program by solving the following:
Example
0 0 0
0 0 0
0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1 0 0 0 0 0 0
0 0 0
0 0 0
Note that the zeros represent the available squares, not the pennies.
Extra credit is available for other interesting examples.
Related tasks
A* search algorithm
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Hopido puzzle
Solve a Numbrix puzzle
Solve the no connection puzzle
| #J | J | 9!:21]2^34
unpack=:verb define
mask=. +./' '~:y
board=. (255 0 1{a.) {~ {.@:>:@:"."0 mask#"1 y
)
ex1=:unpack ];._2]0 :0
0 0 0
0 0 0
0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1 0 0 0 0 0 0
0 0 0
0 0 0
)
solve=:verb define
board=.,:y
for_move.1+i.+/({.a.)=,y do.
board=. ;move <@knight"2 board
end.
)
kmoves=: ,/(2 1,:1 2)*"1/_1^#:i.4
knight=:dyad define
pos=. ($y)#:(,y)i.x{a.
moves=. <"1(#~ 0&<: */"1@:* ($y)&>"1)pos+"1 kmoves
moves=. (#~ (0{a.)={&y) moves
moves y adverb def (':';'y x} m')"0 (x+1){a.
) |
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #PHP | PHP | <?php
//load the wsdl file
$client = new SoapClient("http://example.com/soap/definition.wsdl");
//functions are now available to be called
$result = $client->soapFunc("hello");
$result = $client->anotherSoapFunc(34234);
//SOAP Information
$client = new SoapClient("http://example.com/soap/definition.wsdl");
//list of SOAP types
print_r($client->__getTypes());
//list if SOAP Functions
print_r($client->__getFunctions());
?> |
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #PureBasic | PureBasic |
XIncludeFile "COMatePLUS.pbi"
Define.COMateObject soapObject = COMate_CreateObject("MSSOAP.SoapClient")
soapObject\Invoke("MSSoapInit('http://example.com/soap/wsdl')")
result = soapObject\Invoke("soapFunc('hello')")
result2 = soapObject\Invoke("anotherSoapFunc(34234)")
|
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #Python | Python | from SOAPpy import WSDL
proxy = WSDL.Proxy("http://example.com/soap/wsdl")
result = proxy.soapFunc("hello")
result = proxy.anotherSoapFunc(34234) |
http://rosettacode.org/wiki/Solve_a_Hopido_puzzle | Solve a Hopido puzzle | Hopido puzzles are similar to Hidato. The most important difference is that the only moves allowed are: hop over one tile diagonally; and over two tiles horizontally and vertically. It should be possible to start anywhere in the path, the end point isn't indicated and there are no intermediate clues. Hopido Design Post Mortem contains the following:
"Big puzzles represented another problem. Up until quite late in the project our puzzle solver was painfully slow with most puzzles above 7×7 tiles. Testing the solution from each starting point could take hours. If the tile layout was changed even a little, the whole puzzle had to be tested again. We were just about to give up the biggest puzzles entirely when our programmer suddenly came up with a magical algorithm that cut the testing process down to only minutes. Hooray!"
Knowing the kindness in the heart of every contributor to Rosetta Code, I know that we shall feel that as an act of humanity we must solve these puzzles for them in let's say milliseconds.
Example:
. 0 0 . 0 0 .
0 0 0 0 0 0 0
0 0 0 0 0 0 0
. 0 0 0 0 0 .
. . 0 0 0 . .
. . . 0 . . .
Extra credits are available for other interesting designs.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Numbrix puzzle
Solve the no connection puzzle
| #Picat | Picat |
import sat.
main =>
Grid = {{0,1,1,0,1,1,0},
{1,1,1,1,1,1,1},
{1,1,1,1,1,1,1},
{0,1,1,1,1,1,0},
{0,0,1,1,1,0,0},
{0,0,0,1,0,0,0}},
NR = len(Grid), NC = len(Grid[1]),
Es = [{(R,C), (R1,C1), _} : R in 1..NR, C in 1..NC, R1 in 1..NR, C1 in 1..NC, % Edges
((R1 = R, abs(C1 - C) = 3); (C1 = C, abs(R1 - R) = 3); % horizontal hop
(abs(R1 - R) = 2, abs(C1 - C) = 2)), % diagonal hop
Grid[R,C] = 1, Grid[R1,C1] = 1],
hcp_grid(Grid, Es), % find a Hamiltion cylce on the vertices in Grid through the edges in Es
solve(vars(Es)),
% Write the solution as a matrix, starting at the base tile 6|4:
M = {{0: _ in 1..NC} : _ in 1..NR},
R1 = 6, C1 = 4, I = 0,
do
I := I + 1, M[R1,C1] := I, Stop = 0,
foreach({(R1,C1), (R2,C2), 1} in Es, break(Stop == 1))
R1 := R2, C1 := C2, Stop := 1
end
while ((R1,C1) != (6,4)),
foreach(R in 1..NR, C in 1..NC)
if M[R,C] = 0 then print(" ") else printf("%2d ", M[R,C]) end,
if C = NC then nl end
end.
|
http://rosettacode.org/wiki/Solve_a_Hopido_puzzle | Solve a Hopido puzzle | Hopido puzzles are similar to Hidato. The most important difference is that the only moves allowed are: hop over one tile diagonally; and over two tiles horizontally and vertically. It should be possible to start anywhere in the path, the end point isn't indicated and there are no intermediate clues. Hopido Design Post Mortem contains the following:
"Big puzzles represented another problem. Up until quite late in the project our puzzle solver was painfully slow with most puzzles above 7×7 tiles. Testing the solution from each starting point could take hours. If the tile layout was changed even a little, the whole puzzle had to be tested again. We were just about to give up the biggest puzzles entirely when our programmer suddenly came up with a magical algorithm that cut the testing process down to only minutes. Hooray!"
Knowing the kindness in the heart of every contributor to Rosetta Code, I know that we shall feel that as an act of humanity we must solve these puzzles for them in let's say milliseconds.
Example:
. 0 0 . 0 0 .
0 0 0 0 0 0 0
0 0 0 0 0 0 0
. 0 0 0 0 0 .
. . 0 0 0 . .
. . . 0 . . .
Extra credits are available for other interesting designs.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Numbrix puzzle
Solve the no connection puzzle
| #Prolog | Prolog | hopido(Grid,[C|Solved],Xs,Ys) :-
select(C,Grid,RGrid),
solve(RGrid,C,Solved,Xs,Ys).
solve([],_,[],_,_).
solve(Grid,p(X,Y),[p(X1,Y1)|R],Xs,Ys) :-
valid_move(X,Y,Xs,Ys,X1,Y1),
select(p(X1,Y1),Grid,NextGrid),
solve(NextGrid,p(X1,Y1),R,Xs,Ys).
valid_move(X,Y,Xs,_,X1,Y) :- j3(X,X1,Xs). % right (3,0)
valid_move(X,Y,Xs,_,X1,Y) :- j3(X1,X,Xs). % left (-3,0)
valid_move(X,Y,_,Ys,X,Y1) :- j3(Y,Y1,Ys). % up (0,3).
valid_move(X,Y,_,Ys,X,Y1) :- j3(Y1,Y,Ys). % down (0,-3).
valid_move(X,Y,Xs,Ys,X1,Y1) :- j2(X,X1,Xs), j2(Y,Y1,Ys). % up-right (2,2).
valid_move(X,Y,Xs,Ys,X1,Y1) :- j2(X1,X,Xs), j2(Y,Y1,Ys). % up-left (-2,2).
valid_move(X,Y,Xs,Ys,X1,Y1) :- j2(X1,X,Xs), j2(Y1,Y,Ys). % down-left (-2,-2).
valid_move(X,Y,Xs,Ys,X1,Y1) :- j2(X,X1,Xs), j2(Y1,Y,Ys). % down-right (2,-2).
j2(O,N,[O,_,N|_]).
j2(O,N,[_|T]) :- j2(O,N,T).
j3(O,N,[O,_,_,N|_]).
j3(O,N,[_|T]) :- j3(O,N,T). |
http://rosettacode.org/wiki/Sort_an_array_of_composite_structures | Sort an array of composite structures |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of composite structures by a key.
For example, if you define a composite structure that presents a name-value pair (in pseudo-code):
Define structure pair such that:
name as a string
value as a string
and an array of such pairs:
x: array of pairs
then define a sort routine that sorts the array x by the key name.
This task can always be accomplished with Sorting Using a Custom Comparator.
If your language is not listed here, please see the other article.
| #E | E | def compareBy(keyfn) { # This ought to be in the standard library
return def comparer(a, b) {
return keyfn(a).op__cmp(keyfn(b))
}
}
def x := [
["Joe",3],
["Bill",4],
["Alice",20],
["Harry",3],
]
println(x.sort(compareBy(fn [name,_] { name }))) |
http://rosettacode.org/wiki/Sorting_algorithms/Counting_sort | Sorting algorithms/Counting sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
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)
Task
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 that can hold up to 32 bit integers, we see that in order to hold the counts, an array of up to 232 elements may be needed. I.E.: we need to hold a count value up to 232-1, which is a little over 4.2 Gbytes. So the counting sort is more practical when the range is (very) limited, and minimum and maximum values are known a priori. (However, as a counterexample, the use of sparse arrays minimizes the impact of the memory usage, as well as removing the need of having to know the minimum and maximum values a priori.)
| #VBA | VBA | Option Base 1
Private Function countingSort(array_ As Variant, mina As Long, maxa As Long) As Variant
Dim count() As Integer
ReDim count(maxa - mina + 1)
For i = 1 To UBound(array_)
count(array_(i) - mina + 1) = count(array_(i) - mina + 1) + 1
Next i
Dim z As Integer: z = 1
For i = mina To maxa
For j = 1 To count(i - mina + 1)
array_(z) = i
z = z + 1
Next j
Next i
countingSort = array_
End Function
Public Sub main()
s = [{5, 3, 1, 7, 4, 1, 1, 20}]
Debug.Print Join(countingSort(s, WorksheetFunction.Min(s), WorksheetFunction.Max(s)), ", ")
End Sub |
http://rosettacode.org/wiki/Solve_the_no_connection_puzzle | Solve the no connection puzzle | You are given a box with eight holes labelled A-to-H, connected by fifteen straight lines in the pattern as shown below:
A B
/│\ /│\
/ │ X │ \
/ │/ \│ \
C───D───E───F
\ │\ /│ /
\ │ X │ /
\│/ \│/
G H
You are also given eight pegs numbered 1-to-8.
Objective
Place the eight pegs in the holes so that the (absolute) difference between any two numbers connected by any line is greater than one.
Example
In this attempt:
4 7
/│\ /│\
/ │ X │ \
/ │/ \│ \
8───1───6───2
\ │\ /│ /
\ │ X │ /
\│/ \│/
3 5
Note that 7 and 6 are connected and have a difference of 1, so it is not a solution.
Task
Produce and show here one solution to the puzzle.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve a Numbrix puzzle
4-rings or 4-squares puzzle
See also
No Connection Puzzle (youtube).
| #Haskell | Haskell | import Data.List (permutations)
solution :: [Int]
solution@(a : b : c : d : e : f : g : h : _) =
head $
filter isSolution (permutations [1 .. 8])
where
isSolution :: [Int] -> Bool
isSolution (a : b : c : d : e : f : g : h : _) =
all ((> 1) . abs) $
zipWith
(-)
[a, c, g, e, a, c, g, e, b, d, h, f, b, d, h, f]
[d, d, d, d, c, g, e, a, e, e, e, e, d, h, f, b]
main :: IO ()
main =
(putStrLn . unlines) $
unlines
( zipWith
(\x y -> x : (" = " <> show y))
['A' .. 'H']
solution
) :
( rightShift . unwords . fmap show
<$> [[], [a, b], [c, d, e, f], [g, h]]
)
where
rightShift s
| length s > 3 = s
| otherwise = " " <> s |
http://rosettacode.org/wiki/Solve_a_Numbrix_puzzle | Solve a Numbrix puzzle | Numbrix puzzles are similar to Hidato.
The most important difference is that it is only possible to move 1 node left, right, up, or down (sometimes referred to as the Von Neumann neighborhood).
Published puzzles also tend not to have holes in the grid and may not always indicate the end node.
Two examples follow:
Example 1
Problem.
0 0 0 0 0 0 0 0 0
0 0 46 45 0 55 74 0 0
0 38 0 0 43 0 0 78 0
0 35 0 0 0 0 0 71 0
0 0 33 0 0 0 59 0 0
0 17 0 0 0 0 0 67 0
0 18 0 0 11 0 0 64 0
0 0 24 21 0 1 2 0 0
0 0 0 0 0 0 0 0 0
Solution.
49 50 51 52 53 54 75 76 81
48 47 46 45 44 55 74 77 80
37 38 39 40 43 56 73 78 79
36 35 34 41 42 57 72 71 70
31 32 33 14 13 58 59 68 69
30 17 16 15 12 61 60 67 66
29 18 19 20 11 62 63 64 65
28 25 24 21 10 1 2 3 4
27 26 23 22 9 8 7 6 5
Example 2
Problem.
0 0 0 0 0 0 0 0 0
0 11 12 15 18 21 62 61 0
0 6 0 0 0 0 0 60 0
0 33 0 0 0 0 0 57 0
0 32 0 0 0 0 0 56 0
0 37 0 1 0 0 0 73 0
0 38 0 0 0 0 0 72 0
0 43 44 47 48 51 76 77 0
0 0 0 0 0 0 0 0 0
Solution.
9 10 13 14 19 20 63 64 65
8 11 12 15 18 21 62 61 66
7 6 5 16 17 22 59 60 67
34 33 4 3 24 23 58 57 68
35 32 31 2 25 54 55 56 69
36 37 30 1 26 53 74 73 70
39 38 29 28 27 52 75 72 71
40 43 44 47 48 51 76 77 78
41 42 45 46 49 50 81 80 79
Task
Write a program to solve puzzles of this ilk,
demonstrating your program by solving the above examples.
Extra credit for other interesting examples.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve the no connection puzzle
| #REXX | REXX | /*REXX program solves a Numbrix (R) puzzle, it also displays the puzzle and solution. */
maxR= 0; maxC= 0; maxX= 0; /*define maxR, maxC, and maxX. */
minR= 9e9; minC= 9e9; minX= 9e9; /* " minR, minC, " minX. */
cells= 0 /*the number of cells (so far). */
parse arg xxx /*get the cell definitions from the CL.*/
xxx=translate(xxx, ',,,,,' , "/\;:_") /*also allow other characters as comma.*/
@.=
do while xxx\=''; parse var xxx r c marks ',' xxx
do while marks\=''; [email protected]
parse var marks x marks
if datatype(x, 'N') then x= abs(x) / 1 /*normalize │x│ */
minR= min(minR, r); minC= min(minC, c) /*find min R and C*/
maxR= max(maxR, r); maxC= max(maxC, c) /* " max " " "*/
if x==1 then do; !r= r; !c= c /*the START cell. */
end
if _\=='' then call err "cell at" r c 'is already occupied with:' _
@.r.c= x; c= c +1; cells= cells + 1 /*assign a mark. */
if x==. then iterate /*is a hole? Skip*/
if \datatype(x,'W') then call err 'illegal marker specified:' x
minX= min(minX, x); maxX= max(maxX, x) /*min & max X.*/
end /*while marks\='' */
end /*while xxx \='' */
call show /* [↓] is used for making fast moves. */
Nr = '0 1 0 -1 -1 1 1 -1' /*possible row for the next move. */
Nc = '1 0 -1 0 1 -1 1 -1' /* " column " " " " */
pMoves= words(Nr) - 4 /*is this to be a Numbrix puzzle ? */
do i=1 for pMoves; Nr.i= word(Nr, i); Nc.i= word(Nc, i) /*for fast moves. */
end /*i*/
say
if \next(2, !r, !c) then call err 'No solution possible for this Numbrix puzzle.'
say 'A solution for the Numbrix puzzle exists.'; say; call show
exit /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
err: say; say '***error*** (from Numbrix puzzle): ' arg(1); say; exit 13
/*──────────────────────────────────────────────────────────────────────────────────────*/
next: procedure expose @. Nr. Nc. cells pMoves; parse arg #,r,c; ##= # + 1
do t=1 for pMoves /* [↓] try some moves. */
parse value r+Nr.t c+Nc.t with nr nc /*next move coördinates.*/
if @.nr.nc==. then do; @.nr.nc= # /*let's try this move. */
if #==cells then return 1 /*is this the last move?*/
if next(##, nr, nc) then return 1
@.nr.nc=. /*undo the above move. */
iterate /*go & try another move.*/
end
if @.nr.nc==# then do /*this a fill─in move ? */
if #==cells then return 1 /*this is the last move.*/
if next(##, nr, nc) then return 1 /*a fill─in move. */
end
end /*t*/
return 0 /*this ain't working. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
show: if maxR<1 | maxC<1 then call err 'no legal cell was specified.'
if minX<1 then call err 'no 1 was specified for the puzzle start'
w= max(2, length(cells) ); do r=maxR to minR by -1; _=
do c=minC to maxC; _= _ right(@.r.c, w)
end /*c*/
say _
end /*r*/
say; return |
http://rosettacode.org/wiki/Sort_an_integer_array | Sort an integer array |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of integers in ascending numerical order.
Use a sorting facility provided by the language/library if possible.
| #EGL | EGL | program SortExample
function main()
test1 int[] = [1,-1,8,-8,2,-2,7,-7,3,-3,6,-6,9,-9,4,-4,5,-5,0];
test1.sort(sortFunction);
for(i int from 1 to test1.getSize())
SysLib.writeStdout(test1[i]);
end
end
function sortFunction(a any in, b any in) returns (int)
return (a as int) - (b as int);
end
end |
http://rosettacode.org/wiki/Sort_an_integer_array | Sort an integer array |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of integers in ascending numerical order.
Use a sorting facility provided by the language/library if possible.
| #Elena | Elena | import system'routines;
import extensions;
public program()
{
var unsorted := new int[]{6, 2, 7, 8, 3, 1, 10, 5, 4, 9};
console.printLine(unsorted.clone().sort(ifOrdered).asEnumerable())
} |
http://rosettacode.org/wiki/Sort_a_list_of_object_identifiers | Sort a list of object identifiers |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Object identifiers (OID)
Task
Show how to sort a list of OIDs, in their natural sort order.
Details
An OID consists of one or more non-negative integers in base 10, separated by dots. It starts and ends with a number.
Their natural sort order is lexicographical with regard to the dot-separated fields, using numeric comparison between fields.
Test case
Input (list of strings)
Output (list of strings)
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11150.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11150.3.4.0.1
Related tasks
Natural sorting
Sort using a custom comparator
| #Nim | Nim | import algorithm, sequtils, strutils
type OID = distinct string
# Borrow the `$` procedure from the base string type.
proc `$`(oid: OID): string {.borrow.}
template toSeqInt(oid: OID): seq[int] =
## Convert an OID into a sequence of integers.
oid.string.split('.').map(parseInt)
proc oidCmp(a, b: OID): int =
## Compare two OIDs. Return 0 if OIDs are equal, -1 if the first is
## less than the second, +1 is the first is greater than the second.
let aseq = a.toSeqInt
let bseq = b.toSeqInt
for i in 0..<min(aseq.len, bseq.len):
result = cmp(aseq[i], bseq[i])
if result != 0: return
result = cmp(aseq.len, bseq.len)
when isMainModule:
const OIDS = [OID"1.3.6.1.4.1.11.2.17.19.3.4.0.10",
OID"1.3.6.1.4.1.11.2.17.5.2.0.79",
OID"1.3.6.1.4.1.11.2.17.19.3.4.0.4",
OID"1.3.6.1.4.1.11150.3.4.0.1",
OID"1.3.6.1.4.1.11.2.17.19.3.4.0.1",
OID"1.3.6.1.4.1.11150.3.4.0"]
for oid in OIDS.sorted(oidCmp):
echo oid |
http://rosettacode.org/wiki/Sort_a_list_of_object_identifiers | Sort a list of object identifiers |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Object identifiers (OID)
Task
Show how to sort a list of OIDs, in their natural sort order.
Details
An OID consists of one or more non-negative integers in base 10, separated by dots. It starts and ends with a number.
Their natural sort order is lexicographical with regard to the dot-separated fields, using numeric comparison between fields.
Test case
Input (list of strings)
Output (list of strings)
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11150.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11150.3.4.0.1
Related tasks
Natural sorting
Sort using a custom comparator
| #Perl | Perl | my @OIDs = qw(
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11150.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11150.3.4.0
);
my @sorted =
map { $_->[0] }
sort { $a->[1] cmp $b->[1] }
map { [$_, join '', map { sprintf "%8d", $_ } split /\./, $_] }
@OIDs;
print "$_\n" for @sorted; |
http://rosettacode.org/wiki/Sort_disjoint_sublist | Sort disjoint sublist |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Given a list of values and a set of integer indices into that value list, the task is to sort the values at the given indices, while preserving the values at indices outside the set of those to be sorted.
Make your example work with the following list of values and set of indices:
Values: [7, 6, 5, 4, 3, 2, 1, 0]
Indices: {6, 1, 7}
Where the correct result would be:
[7, 0, 5, 4, 3, 2, 1, 6].
In case of one-based indexing, rather than the zero-based indexing above, you would use the indices {7, 2, 8} instead.
The indices are described as a set rather than a list but any collection-type of those indices without duplication may be used as long as the example is insensitive to the order of indices given.
Cf.
Order disjoint list items
| #Io | Io | List disjointSort := method(indices,
sortedIndices := indices unique sortInPlace
sortedValues := sortedIndices map(idx,at(idx)) sortInPlace
sortedValues foreach(i,v,atPut(sortedIndices at(i),v))
self
)
list(7,6,5,4,3,2,1,0) disjointSort(list(6,1,7)) println |
http://rosettacode.org/wiki/Sort_stability | Sort stability |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
When sorting records in a table by a particular column or field, a stable sort will always retain the relative order of records that have the same key.
Example
In this table of countries and cities, a stable sort on the second column, the cities, would keep the US Birmingham above the UK Birmingham.
(Although an unstable sort might, in this case, place the US Birmingham above the UK Birmingham, a stable sort routine would guarantee it).
UK London
US New York
US Birmingham
UK Birmingham
Similarly, stable sorting on just the first column would generate UK London as the first item and US Birmingham as the last item (since the order of the elements having the same first word – UK or US – would be maintained).
Task
Examine the documentation on any in-built sort routines supplied by a language.
Indicate if an in-built routine is supplied
If supplied, indicate whether or not the in-built routine is stable.
(This Wikipedia table shows the stability of some common sort routines).
| #Wren | Wren | import "/sort" for Cmp, Sort
var data = [ ["UK", "London"], ["US", "New York"], ["US", "Birmingham"], ["UK", "Birmingham"] ]
// for sorting by country
var cmp = Fn.new { |p1, p2| Cmp.string.call(p1[0], p2[0]) }
// for sorting by city
var cmp2 = Fn.new { |p1, p2| Cmp.string.call(p1[1], p2[1]) }
System.print("Initial data:")
System.print(" " + data.join("\n "))
System.print("\nSorted by country:")
var data2 = data.toList
Sort.insertion(data2, cmp)
System.print(" " + data2.join("\n "))
System.print("\nSorted by city:")
var data3 = data.toList
Sort.insertion(data3, cmp2)
System.print(" " + data3.join("\n ")) |
http://rosettacode.org/wiki/Sort_three_variables | Sort three variables |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort (the values of) three variables (X, Y, and Z) that contain any value (numbers and/or literals).
If that isn't possible in your language, then just sort numbers (and note if they can be floating point, integer, or other).
I.E.: (for the three variables x, y, and z), where:
x = 'lions, tigers, and'
y = 'bears, oh my!'
z = '(from the "Wizard of OZ")'
After sorting, the three variables would hold:
x = '(from the "Wizard of OZ")'
y = 'bears, oh my!'
z = 'lions, tigers, and'
For numeric value sorting, use:
I.E.: (for the three variables x, y, and z), where:
x = 77444
y = -12
z = 0
After sorting, the three variables would hold:
x = -12
y = 0
z = 77444
The variables should contain some form of a number, but specify if the algorithm
used can be for floating point or integers. Note any limitations.
The values may or may not be unique.
The method used for sorting can be any algorithm; the goal is to use the most idiomatic in the computer programming language used.
More than one algorithm could be shown if one isn't clearly the better choice.
One algorithm could be:
• store the three variables x, y, and z
into an array (or a list) A
• sort (the three elements of) the array A
• extract the three elements from the array and place them in the
variables x, y, and z in order of extraction
Another algorithm (only for numeric values):
x= 77444
y= -12
z= 0
low= x
mid= y
high= z
x= min(low, mid, high) /*determine the lowest value of X,Y,Z. */
z= max(low, mid, high) /* " " highest " " " " " */
y= low + mid + high - x - z /* " " middle " " " " " */
Show the results of the sort here on this page using at least the values of those shown above.
| #R | R |
#lang R
assignVec <- Vectorize("assign", c("x", "value"))
`%<<-%` <- function(x, value) invisible(assignVec(x, value, envir = .GlobalEnv)) # define multiple global assignments operator
|
http://rosettacode.org/wiki/Sort_three_variables | Sort three variables |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort (the values of) three variables (X, Y, and Z) that contain any value (numbers and/or literals).
If that isn't possible in your language, then just sort numbers (and note if they can be floating point, integer, or other).
I.E.: (for the three variables x, y, and z), where:
x = 'lions, tigers, and'
y = 'bears, oh my!'
z = '(from the "Wizard of OZ")'
After sorting, the three variables would hold:
x = '(from the "Wizard of OZ")'
y = 'bears, oh my!'
z = 'lions, tigers, and'
For numeric value sorting, use:
I.E.: (for the three variables x, y, and z), where:
x = 77444
y = -12
z = 0
After sorting, the three variables would hold:
x = -12
y = 0
z = 77444
The variables should contain some form of a number, but specify if the algorithm
used can be for floating point or integers. Note any limitations.
The values may or may not be unique.
The method used for sorting can be any algorithm; the goal is to use the most idiomatic in the computer programming language used.
More than one algorithm could be shown if one isn't clearly the better choice.
One algorithm could be:
• store the three variables x, y, and z
into an array (or a list) A
• sort (the three elements of) the array A
• extract the three elements from the array and place them in the
variables x, y, and z in order of extraction
Another algorithm (only for numeric values):
x= 77444
y= -12
z= 0
low= x
mid= y
high= z
x= min(low, mid, high) /*determine the lowest value of X,Y,Z. */
z= max(low, mid, high) /* " " highest " " " " " */
y= low + mid + high - x - z /* " " middle " " " " " */
Show the results of the sort here on this page using at least the values of those shown above.
| #Racket | Racket | #lang racket
(define-syntax-rule (sort-3! x y z <?)
(begin
(define-syntax-rule (swap! x y) (let ((tmp x)) (set! x y) (set! y tmp)))
(define-syntax-rule (sort-2! x y) (when (<? y x) (swap! x y)))
(sort-2! x y)
(sort-2! x z)
(sort-2! y z)))
(module+ test
(require rackunit
data/order)
(define (test-permutations l <?)
(test-case
(format "test-permutations ~a" (object-name <?))
(for ((p (in-permutations l)))
(match-define (list a b c) p)
(sort-3! a b c <?)
(check-equal? (list a b c) l))))
(test-permutations '(1 2 3) <)
;; string sorting
(let ((x "lions, tigers, and")
(y "bears, oh my!")
(z "(from the \"Wizard of OZ\")"))
(sort-3! x y z string<?)
(for-each displayln (list x y z)))
(newline)
;; general data sorting
(define datum<? (order-<? datum-order))
(let ((x "lions, tigers, and")
(y "bears, oh my!")
(z '(from the "Wizard of OZ")))
(sort-3! x y z datum<?)
(for-each displayln (list x y z)))) |
http://rosettacode.org/wiki/Sort_using_a_custom_comparator | Sort using a custom comparator |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of strings in order of descending length, and in ascending lexicographic order for strings of equal length.
Use a sorting facility provided by the language/library, combined with your own callback comparison function.
Note: Lexicographic order is case-insensitive.
| #Nemerle | Nemerle | using System.Console;
module CustomSort
{
Main() : void
{
def strings1 = ["these", "are", "strings", "of", "different", "length"];
def strings2 = ["apple", "House", "chewy", "Salty", "rises", "Later"];
WriteLine(strings1.Sort((x, y) => y.Length.CompareTo(x.Length)));
WriteLine(strings2.Sort((x, y) => x.CompareTo(y)))
}
} |
http://rosettacode.org/wiki/Sort_using_a_custom_comparator | Sort using a custom comparator |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of strings in order of descending length, and in ascending lexicographic order for strings of equal length.
Use a sorting facility provided by the language/library, combined with your own callback comparison function.
Note: Lexicographic order is case-insensitive.
| #NetRexx | NetRexx | /* NetRexx */
options replace format comments java crossref symbols nobinary
-- =============================================================================
class RSortCustomComparator public
-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
method main(args = String[]) public static
sample = [String 'Here', 'are', 'some', 'sample', 'strings', 'to', 'be', 'sorted']
say displayArray(sample)
Arrays.sort(sample, LengthComparator())
say displayArray(sample)
return
method displayArray(harry = String[]) constant
disp = ''
loop elmt over harry
disp = disp','elmt
end elmt
return '['disp.substr(2)']' -- trim leading comma
-- =============================================================================
class RSortCustomComparator.LengthComparator implements Comparator
method compare(lft = Object, rgt = Object) public binary returns int
cRes = int
if lft <= String, rgt <= String then do
cRes = (String rgt).length - (String lft).length
if cRes == 0 then cRes = (String lft).compareToIgnoreCase(String rgt)
end
else signal IllegalArgumentException('Arguments must be Strings')
return cRes
|
http://rosettacode.org/wiki/Sorting_algorithms/Comb_sort | Sorting algorithms/Comb sort | Sorting algorithms/Comb sort
You are encouraged to solve this task according to the task description, using any language you may know.
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a comb sort.
The Comb Sort is a variant of the Bubble Sort.
Like the Shell sort, the Comb Sort increases the gap used in comparisons and exchanges.
Dividing the gap by
(
1
−
e
−
φ
)
−
1
≈
1.247330950103979
{\displaystyle (1-e^{-\varphi })^{-1}\approx 1.247330950103979}
works best, but 1.3 may be more practical.
Some implementations use the insertion sort once the gap is less than a certain amount.
Also see
the Wikipedia article: Comb sort.
Variants:
Combsort11 makes sure the gap ends in (11, 8, 6, 4, 3, 2, 1), which is significantly faster than the other two possible endings.
Combsort with different endings changes to a more efficient sort when the data is almost sorted (when the gap is small). Comb sort with a low gap isn't much better than the Bubble Sort.
Pseudocode:
function combsort(array input)
gap := input.size //initialize gap size
loop until gap = 1 and swaps = 0
//update the gap value for a next comb. Below is an example
gap := int(gap / 1.25)
if gap < 1
//minimum gap is 1
gap := 1
end if
i := 0
swaps := 0 //see Bubble Sort for an explanation
//a single "comb" over the input list
loop until i + gap >= input.size //see Shell sort for similar idea
if input[i] > input[i+gap]
swap(input[i], input[i+gap])
swaps := 1 // Flag a swap has occurred, so the
// list is not guaranteed sorted
end if
i := i + 1
end loop
end loop
end function
| #Wren | Wren | var combSort = Fn.new { |a|
var gap = a.count
while (true) {
gap = (gap/1.25).floor
if (gap < 1) gap = 1
var i = 0
var swaps = false
while (true) {
if (a[i] > a[i+gap]) {
var t = a[i]
a[i] = a[i+gap]
a[i+gap] = t
swaps = true
}
i = i + 1
if (i + gap >= a.count) break
}
if (gap == 1 && !swaps) return
}
}
var as = [ [4, 65, 2, -31, 0, 99, 2, 83, 782, 1], [7, 5, 2, 6, 1, 4, 2, 6, 3] ]
for (a in as) {
System.print("Before: %(a)")
combSort.call(a)
System.print("After : %(a)")
System.print()
} |
http://rosettacode.org/wiki/Sorting_algorithms/Bogosort | Sorting algorithms/Bogosort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Bogosort a list of numbers.
Bogosort simply shuffles a collection randomly until it is sorted.
"Bogosort" is a perversely inefficient algorithm only used as an in-joke.
Its average run-time is O(n!) because the chance that any given shuffle of a set will end up in sorted order is about one in n factorial, and the worst case is infinite since there's no guarantee that a random shuffling will ever produce a sorted sequence.
Its best case is O(n) since a single pass through the elements may suffice to order them.
Pseudocode:
while not InOrder(list) do
Shuffle(list)
done
The Knuth shuffle may be used to implement the shuffle part of this algorithm.
| #Scheme | Scheme | (import (rnrs base (6))
(srfi :27 random-bits))
(define (shuffle lst)
(define (swap! vec i j)
(let ((tmp (vector-ref vec i)))
(vector-set! vec i (vector-ref vec j))
(vector-set! vec j tmp)))
(define vec (list->vector lst))
(let loop ((i (sub1 (vector-length vec))))
(unless (zero? i)
(swap! vec i (random-integer (add1 i)))
(loop (sub1 i))))
(vector->list vec))
(define (sorted? lst pred?)
(cond
((null? (cdr lst)) #t)
((pred? (car lst) (cadr lst)) (sorted? (cdr lst) pred?))
(else #f)))
(define (bogosort lst)
(if (sorted? lst <)
lst
(bogosort (shuffle lst))))
(let ((input '(5 4 3 2 1)))
(display "Input: ")
(display input)
(newline)
(display "Output: ")
(display (bogosort input))
(newline)) |
http://rosettacode.org/wiki/Sorting_algorithms/Bubble_sort | Sorting algorithms/Bubble sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
A bubble sort is generally considered to be the simplest sorting algorithm.
A bubble sort is also known as a sinking sort.
Because of its simplicity and ease of visualization, it is often taught in introductory computer science courses.
Because of its abysmal O(n2) performance, it is not used often for large (or even medium-sized) datasets.
The bubble sort works by passing sequentially over a list, comparing each value to the one immediately after it. If the first value is greater than the second, their positions are switched. Over a number of passes, at most equal to the number of elements in the list, all of the values drift into their correct positions (large values "bubble" rapidly toward the end, pushing others down around them).
Because each pass finds the maximum item and puts it at the end, the portion of the list to be sorted can be reduced at each pass.
A boolean variable is used to track whether any changes have been made in the current pass; when a pass completes without changing anything, the algorithm exits.
This can be expressed in pseudo-code as follows (assuming 1-based indexing):
repeat
if itemCount <= 1
return
hasChanged := false
decrement itemCount
repeat with index from 1 to itemCount
if (item at index) > (item at (index + 1))
swap (item at index) with (item at (index + 1))
hasChanged := true
until hasChanged = false
Task
Sort an array of elements using the bubble sort algorithm. The elements must have a total order and the index of the array can be of any discrete type. For languages where this is not possible, sort an array of integers.
References
The article on Wikipedia.
Dance interpretation.
| #Euphoria | Euphoria | function bubble_sort(sequence s)
object tmp
integer changed
for j = length(s) to 1 by -1 do
changed = 0
for i = 1 to j-1 do
if compare(s[i], s[i+1]) > 0 then
tmp = s[i]
s[i] = s[i+1]
s[i+1] = tmp
changed = 1
end if
end for
if not changed then
exit
end if
end for
return s
end function
include misc.e
constant s = {4, 15, "delta", 2, -31, 0, "alfa", 19, "gamma", 2, 13, "beta", 782, 1}
puts(1,"Before: ")
pretty_print(1,s,{2})
puts(1,"\nAfter: ")
pretty_print(1,bubble_sort(s),{2}) |
http://rosettacode.org/wiki/Sorting_algorithms/Gnome_sort | Sorting algorithms/Gnome sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Gnome 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)
Gnome sort is a sorting algorithm which is similar to Insertion sort, except that moving an element to its proper place is accomplished by a series of swaps, as in Bubble Sort.
The pseudocode for the algorithm is:
function gnomeSort(a[0..size-1])
i := 1
j := 2
while i < size do
if a[i-1] <= a[i] then
// for descending sort, use >= for comparison
i := j
j := j + 1
else
swap a[i-1] and a[i]
i := i - 1
if i = 0 then
i := j
j := j + 1
endif
endif
done
Task
Implement the Gnome sort in your language to sort an array (or list) of numbers.
| #ooRexx | ooRexx | /* Rexx */
call demo
return
exit
-- -----------------------------------------------------------------------------
-- Gnome sort implementation
-- -----------------------------------------------------------------------------
::routine gnomeSort
use arg ra, sAsc = ''
if sAsc = '' then sAsc = isTrue()
sDsc = \sAsc -- Ascending/descending switches
i_ = 1
j_ = 2
loop label i_ while i_ < ra~items()
ctx = (ra~get(i_ - 1))~compareTo(ra~get(i_))
if (sAsc & ctx <= 0) | (sDsc & ctx >= 0) then do
i_ = j_
j_ = j_ + 1
end
else do
swap = ra~get(i_)
ra~set(i_, ra~get(i_ - 1))
ra~set(i_ - 1, swap)
i_ = i_ - 1
if i_ = 0 then do
i_ = j_
j_ = j_ + 1
end
end
end i_
return ra
-- -----------------------------------------------------------------------------
-- Demonstrate the implementation
-- -----------------------------------------------------------------------------
::routine demo
placesList = .nlist~of( -
"UK London", "US New York", "US Boston", "US Washington" -
, "UK Washington", "US Birmingham", "UK Birmingham", "UK Boston" -
)
lists = .nlist~of( -
placesList -
, gnomeSort(placesList~copy()) -
)
loop ln = 0 to lists~items() - 1
cl = lists[ln]
loop ct = 0 to cl~items() - 1
say right(ct + 1, 3)':' cl[ct]
end ct
say
end ln
i_.0 = 3
i_.1 = .nlist~of(3, 3, 1, 2, 4, 3, 5, 6)
i_.2 = gnomeSort(i_.1~copy(), isTrue())
i_.3 = gnomeSort(i_.1~copy(), isFalse())
loop s_ = 1 to i_.0
ss = ''
loop x_ = 0 to i_.s_~items() - 1
ss ||= right(i_.s_~get(x_), 3)' '
end x_
say strip(ss, 'T')
end s_
return
-- -----------------------------------------------------------------------------
::routine isTrue
return 1 == 1
-- -----------------------------------------------------------------------------
::routine isFalse
return \isTrue()
-- -----------------------------------------------------------------------------
-- Helper class. Map get and set methods for easier conversion from java.util.List
-- -----------------------------------------------------------------------------
::class NList mixinclass List public
-- Map get() to at()
::method get
use arg ix
return self~at(ix)
-- Map set() to put()
::method set
use arg ix, item
self~put(item, ix)
return
|
http://rosettacode.org/wiki/Sorting_algorithms/Cocktail_sort | Sorting algorithms/Cocktail sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Cocktail 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)
The cocktail shaker sort is an improvement on the Bubble Sort.
The improvement is basically that values "bubble" both directions through the array, because on each iteration the cocktail shaker sort bubble sorts once forwards and once backwards. Pseudocode for the algorithm (from wikipedia):
function cocktailSort( A : list of sortable items )
do
swapped := false
for each i in 0 to length( A ) - 2 do
if A[ i ] > A[ i+1 ] then // test whether the two
// elements are in the wrong
// order
swap( A[ i ], A[ i+1 ] ) // let the two elements
// change places
swapped := true;
if swapped = false then
// we can exit the outer loop here if no swaps occurred.
break do-while loop;
swapped := false
for each i in length( A ) - 2 down to 0 do
if A[ i ] > A[ i+1 ] then
swap( A[ i ], A[ i+1 ] )
swapped := true;
while swapped; // if no elements have been swapped,
// then the list is sorted
Related task
cocktail sort with shifting bounds
| #NetRexx | NetRexx | /* NetRexx */
options replace format comments java crossref savelog symbols binary
placesList = [String -
"UK London", "US New York" -
, "US Boston", "US Washington" -
, "UK Washington", "US Birmingham" -
, "UK Birmingham", "UK Boston" -
]
sortedList = cocktailSort(String[] Arrays.copyOf(placesList, placesList.length))
lists = [placesList, sortedList]
loop ln = 0 to lists.length - 1
cl = lists[ln]
loop ct = 0 to cl.length - 1
say cl[ct]
end ct
say
end ln
return
method cocktailSort(A = String[]) public constant binary returns String[]
Alength = A.length
swapped = isFalse
loop label swapped until \swapped
swapped = isFalse
loop i_ = 0 to Alength - 2
if A[i_].compareTo(A[i_ + 1]) > 0 then do
swap = A[i_ + 1]
A[i_ + 1] = A[i_]
A[i_] = swap
swapped = isTrue
end
end i_
if \swapped then do
leave swapped
end
swapped = isFalse
loop i_ = Alength - 2 to 0 by -1
if A[i_].compareTo(A[i_ + 1]) > 0 then do
swap = A[i_ + 1]
A[i_ + 1] = A[i_]
A[i_] = swap
swapped = isTrue
end
end i_
end swapped
return A
method isTrue public constant binary returns boolean
return 1 == 1
method isFalse public constant binary returns boolean
return \isTrue |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #BBC_BASIC | BBC BASIC | INSTALL @lib$+"SOCKLIB"
PROC_initsockets
socket% = FN_tcpconnect("localhost", "256")
IF socket% <=0 ERROR 100, "Failed to open socket"
REM Don't use FN_writesocket since an error is expected
msg$ = "hello socket world"
SYS `send`, socket%, !^msg$, LEN(msg$), 0 TO result%
PROC_closesocket(socket%)
PROC_exitsockets |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #C | C | #include <stdio.h>
#include <string.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netdb.h>
const char *msg = "hello socket world";
int main()
{
int i, sock, len, slen;
struct addrinfo hints, *addrs;
memset(&hints, 0, sizeof(struct addrinfo));
hints.ai_family = AF_UNSPEC;
hints.ai_socktype = SOCK_STREAM;
if (0 == getaddrinfo("localhost", "256", &hints, &addrs))
{
sock = socket(addrs->ai_family, addrs->ai_socktype, addrs->ai_protocol);
if ( sock >= 0 )
{
if ( connect(sock, addrs->ai_addr, addrs->ai_addrlen) >= 0 )
{
const char *pm = msg;
do
{
len = strlen(pm);
slen = send(sock, pm, len, 0);
pm += slen;
} while ((0 <= slen) && (slen < len));
}
close(sock);
}
freeaddrinfo(addrs);
}
} |
http://rosettacode.org/wiki/Sleeping_Beauty_problem | Sleeping Beauty problem | Background on the task
In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.
If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.
Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always
estimate the probability of heads as 1/2, since she does not have any additional information. Others
have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice
as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate
should be 1/3 heads.
Task
Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the
proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty
is asked the question.
| #Arturo | Arturo | sleepingBeauty: function [reps][
wakings: 0
heads: 0
do.times: reps [
coin: random 0 1
wakings: wakings + 1
if? coin = 0 -> heads: heads + 1
else -> wakings: wakings + 1
]
print ["Wakings over" reps "repetitions =" wakings]
return 100.0 * heads//wakings
]
pc: sleepingBeauty 100000
print ["Percentage probability of heads on waking =" pc "%"] |
http://rosettacode.org/wiki/Sleeping_Beauty_problem | Sleeping Beauty problem | Background on the task
In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.
If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.
Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always
estimate the probability of heads as 1/2, since she does not have any additional information. Others
have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice
as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate
should be 1/3 heads.
Task
Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the
proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty
is asked the question.
| #BASIC | BASIC |
iteraciones = 1000000
cara = 0
dormir = 0
for i = 1 to iteraciones
lanza_moneda = int(rand * 2)
dormir = dormir + 1
if lanza_moneda = 1 then
cara = cara + 1
else
dormir = dormir + 1
end if
next i
print "Wakings over "; iteraciones; " repetitions = "; dormir
print "Percentage probability of heads on waking = "; (cara/dormir*100); "%"
end
|
http://rosettacode.org/wiki/Sleeping_Beauty_problem | Sleeping Beauty problem | Background on the task
In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.
If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.
Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always
estimate the probability of heads as 1/2, since she does not have any additional information. Others
have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice
as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate
should be 1/3 heads.
Task
Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the
proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty
is asked the question.
| #C.2B.2B | C++ | #include <iostream>
#include <random>
int main() {
std::cout.imbue(std::locale(""));
const int experiments = 1000000;
std::random_device dev;
std::default_random_engine engine(dev());
std::uniform_int_distribution<int> distribution(0, 1);
int heads = 0, wakenings = 0;
for (int i = 0; i < experiments; ++i) {
++wakenings;
switch (distribution(engine)) {
case 0: // heads
++heads;
break;
case 1: // tails
++wakenings;
break;
}
}
std::cout << "Wakenings over " << experiments
<< " experiments: " << wakenings << '\n';
std::cout << "Sleeping Beauty should estimate a credence of: "
<< double(heads) / wakenings << '\n';
} |
http://rosettacode.org/wiki/Smarandache_prime-digital_sequence | Smarandache prime-digital sequence | The Smarandache prime-digital sequence (SPDS for brevity) is the sequence of primes whose digits are themselves prime.
For example 257 is an element of this sequence because it is prime itself and its digits: 2, 5 and 7 are also prime.
Task
Show the first 25 SPDS primes.
Show the hundredth SPDS prime.
See also
OEIS A019546: Primes whose digits are primes.
https://www.scribd.com/document/214851583/On-the-Smarandache-prime-digital-subsequence-sequences
| #C | C | #include <locale.h>
#include <stdbool.h>
#include <stdint.h>
#include <stdio.h>
typedef uint32_t integer;
integer next_prime_digit_number(integer n) {
if (n == 0)
return 2;
switch (n % 10) {
case 2:
return n + 1;
case 3:
case 5:
return n + 2;
default:
return 2 + next_prime_digit_number(n/10) * 10;
}
}
bool is_prime(integer n) {
if (n < 2)
return false;
if (n % 2 == 0)
return n == 2;
if (n % 3 == 0)
return n == 3;
if (n % 5 == 0)
return n == 5;
static const integer wheel[] = { 4,2,4,2,4,6,2,6 };
integer p = 7;
for (;;) {
for (int i = 0; i < 8; ++i) {
if (p * p > n)
return true;
if (n % p == 0)
return false;
p += wheel[i];
}
}
}
int main() {
setlocale(LC_ALL, "");
const integer limit = 1000000000;
integer n = 0, max = 0;
printf("First 25 SPDS primes:\n");
for (int i = 0; n < limit; ) {
n = next_prime_digit_number(n);
if (!is_prime(n))
continue;
if (i < 25) {
if (i > 0)
printf(" ");
printf("%'u", n);
}
else if (i == 25)
printf("\n");
++i;
if (i == 100)
printf("Hundredth SPDS prime: %'u\n", n);
else if (i == 1000)
printf("Thousandth SPDS prime: %'u\n", n);
else if (i == 10000)
printf("Ten thousandth SPDS prime: %'u\n", n);
max = n;
}
printf("Largest SPDS prime less than %'u: %'u\n", limit, max);
return 0;
} |
http://rosettacode.org/wiki/Solve_a_Hidato_puzzle | Solve a Hidato puzzle | The task is to write a program which solves Hidato (aka Hidoku) puzzles.
The rules are:
You are given a grid with some numbers placed in it. The other squares in the grid will be blank.
The grid is not necessarily rectangular.
The grid may have holes in it.
The grid is always connected.
The number “1” is always present, as is another number that is equal to the number of squares in the grid. Other numbers are present so as to force the solution to be unique.
It may be assumed that the difference between numbers present on the grid is not greater than lucky 13.
The aim is to place a natural number in each blank square so that in the sequence of numbered squares from “1” upwards, each square is in the wp:Moore neighborhood of the squares immediately before and after it in the sequence (except for the first and last squares, of course, which only have one-sided constraints).
Thus, if the grid was overlaid on a chessboard, a king would be able to make legal moves along the path from first to last square in numerical order.
A square may only contain one number.
In a proper Hidato puzzle, the solution is unique.
For example the following problem
has the following solution, with path marked on it:
Related tasks
A* search algorithm
N-queens problem
Solve a Holy Knight's tour
Solve a Knight's tour
Solve a Hopido puzzle
Solve a Numbrix puzzle
Solve the no connection puzzle;
| #11l | 11l | [[Int]] board
[Int] given
V start = (-1, -1)
F setup(s)
V lines = s.split("\n")
V ncols = lines[0].split(‘ ’, group_delimiters' 1B).len
V nrows = lines.len
:board = (0 .< nrows + 2).map(_ -> [-1] * (@ncols + 2))
L(row) lines
V r = L.index
L(cell) row.split(‘ ’, group_delimiters' 1B)
V c = L.index
I cell == ‘__’
:board[r + 1][c + 1] = 0
L.continue
E I cell == ‘.’
L.continue
E
V val = Int(cell)
:board[r + 1][c + 1] = val
:given.append(val)
I val == 1
:start = (r + 1, c + 1)
:given.sort()
F solve(r, c, n, =next = 0)
I n > :given.last
R 1B
I :board[r][c] & :board[r][c] != n
R 0B
I :board[r][c] == 0 & :given[next] == n
R 0B
V back = 0
I :board[r][c] == n
next++
back = n
:board[r][c] = n
L(i) -1 .< 2
L(j) -1 .< 2
I solve(r + i, c + j, n + 1, next)
R 1B
:board[r][c] = back
R 0B
F print_board()
V d = [-1 = ‘ ’, 0 = ‘__’]
V bmax = max(:board.map(r -> max(r)))
V lbmax = String(bmax).len + 1
L(r) :board[1 .< (len)-1]
print(r[1 .< (len)-1].map(c -> @d.get(c, String(c)).rjust(@lbmax)).join(‘’))
V hi =
|‘__ 33 35 __ __ . . .
__ __ 24 22 __ . . .
__ __ __ 21 __ __ . .
__ 26 __ 13 40 11 . .
27 __ __ __ 9 __ 1 .
. . __ __ 18 __ __ .
. . . . __ 7 __ __
. . . . . . 5 __’
setup(hi)
print_board()
solve(start[0], start[1], 1)
print()
print_board() |
http://rosettacode.org/wiki/Sokoban | Sokoban | Demonstrate how to find a solution to a given Sokoban level. For the purpose of this task (formally, a PSPACE-complete problem) any method may be used. However a move-optimal or push-optimal (or any other -optimal) solutions is preferred.
Sokoban levels are usually stored as a character array where
space is an empty square
# is a wall
@ is the player
$ is a box
. is a goal
+ is the player on a goal
* is a box on a goal
#######
# #
# #
#. # #
#. $$ #
#.$$ #
#.# @#
#######
Sokoban solutions are usually stored in the LURD format, where lowercase l, u, r and d represent a move in that (left, up, right, down) direction and capital LURD represents a push.
Please state if you use some other format for either the input or output, and why.
For more information, see the Sokoban wiki.
| #D | D | import std.string, std.typecons, std.exception, std.algorithm;
import queue_usage2; // No queue in Phobos 2.064.
const struct Board {
private enum El { floor = ' ', wall = '#', goal = '.',
box = '$', player = '@', boxOnGoal='*' }
private alias CTable = string;
private immutable size_t ncols;
private immutable CTable sData, dData;
private immutable int playerx, playery;
this(in string[] board) immutable pure nothrow @safe
in {
foreach (const row; board) {
assert(row.length == board[0].length,
"Unequal board rows.");
foreach (immutable c; row)
assert(c.inPattern(" #.$@*"), "Not valid input");
}
} body {
/*static*/ immutable sMap =
[' ':' ', '.':'.', '@':' ', '#':'#', '$':' '];
/*static*/ immutable dMap =
[' ':' ', '.':' ', '@':'@', '#':' ', '$':'*'];
ncols = board[0].length;
int plx = 0, ply = 0;
CTable sDataBuild, dDataBuild;
foreach (immutable r, const row; board)
foreach (immutable c, const ch; row) {
sDataBuild ~= sMap[ch];
dDataBuild ~= dMap[ch];
if (ch == El.player) {
plx = c;
ply = r;
}
}
this.sData = sDataBuild;
this.dData = dDataBuild;
this.playerx = plx;
this.playery = ply;
}
private bool move(in int x, in int y, in int dx,
in int dy, ref CTable data)
const pure nothrow /*@safe*/ {
if (sData[(y + dy) * ncols + x + dx] == El.wall ||
data[(y + dy) * ncols + x + dx] != El.floor)
return false;
auto data2 = data.dup;
data2[y * ncols + x] = El.floor;
data2[(y + dy) * ncols + x + dx] = El.player;
data = data2.assumeUnique; // Not enforced.
return true;
}
private bool push(in int x, in int y, in int dx,
in int dy, ref CTable data)
const pure nothrow /*@safe*/ {
if (sData[(y + 2 * dy) * ncols + x + 2 * dx] == El.wall ||
data[(y + 2 * dy) * ncols + x + 2 * dx] != El.floor)
return false;
auto data2 = data.dup;
data2[y * ncols + x] = El.floor;
data2[(y + dy) * ncols + x + dx] = El.player;
data2[(y + 2 * dy) * ncols + x + 2*dx] = El.boxOnGoal;
data = data2.assumeUnique; // Not enforced.
return true;
}
private bool isSolved(in CTable data)
const pure nothrow @safe @nogc {
foreach (immutable i, immutable d; data)
if ((sData[i] == El.goal) != (d == El.boxOnGoal))
return false;
return true;
}
string solve() pure nothrow /*@safe*/ {
bool[immutable CTable] visitedSet = [dData: true];
alias Four = Tuple!(CTable, string, int, int);
GrowableCircularQueue!Four open;
open.push(Four(dData, "", playerx, playery));
static immutable dirs = [tuple( 0, -1, 'u', 'U'),
tuple( 1, 0, 'r', 'R'),
tuple( 0, 1, 'd', 'D'),
tuple(-1, 0, 'l', 'L')];
while (!open.empty) {
//immutable (cur, cSol, x, y) = open.pop;
immutable item = open.pop;
immutable cur = item[0];
immutable cSol = item[1];
immutable x = item[2];
immutable y = item[3];
foreach (immutable di; dirs) {
CTable temp = cur;
//immutable (dx, dy) = di[0 .. 2];
immutable dx = di[0];
immutable dy = di[1];
if (temp[(y + dy) * ncols + x + dx] == El.boxOnGoal) {
if (push(x, y, dx, dy, temp) && temp !in visitedSet) {
if (isSolved(temp))
return cSol ~ di[3];
open.push(Four(temp, cSol ~ di[3], x + dx, y + dy));
visitedSet[temp] = true;
}
} else if (move(x, y, dx, dy, temp) && temp !in visitedSet) {
if (isSolved(temp))
return cSol ~ di[2];
open.push(Four(temp, cSol ~ di[2], x + dx, y + dy));
visitedSet[temp] = true;
}
}
}
return "No solution";
}
}
void main() {
import std.stdio, core.memory;
GC.disable; // Uses about twice the memory.
immutable level =
"#######
# #
# #
#. # #
#. $$ #
#.$$ #
#.# @#
#######";
immutable b = immutable(Board)(level.splitLines);
writeln(level, "\n\n", b.solve);
} |
http://rosettacode.org/wiki/Solve_a_Holy_Knight%27s_tour | Solve a Holy Knight's tour |
Chess coaches have been known to inflict a kind of torture on beginners by taking a chess board, placing pennies on some squares and requiring that a Knight's tour be constructed that avoids the squares with pennies.
This kind of knight's tour puzzle is similar to Hidato.
The present task is to produce a solution to such problems. At least demonstrate your program by solving the following:
Example
0 0 0
0 0 0
0 0 0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
1 0 0 0 0 0 0
0 0 0
0 0 0
Note that the zeros represent the available squares, not the pennies.
Extra credit is available for other interesting examples.
Related tasks
A* search algorithm
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Hopido puzzle
Solve a Numbrix puzzle
Solve the no connection puzzle
| #Java | Java | import java.util.*;
public class HolyKnightsTour {
final static String[] board = {
" xxx ",
" x xx ",
" xxxxxxx",
"xxx x x",
"x x xxx",
"1xxxxxx ",
" xx x ",
" xxx "};
private final static int base = 12;
private final static int[][] moves = {{1, -2}, {2, -1}, {2, 1}, {1, 2},
{-1, 2}, {-2, 1}, {-2, -1}, {-1, -2}};
private static int[][] grid;
private static int total = 2;
public static void main(String[] args) {
int row = 0, col = 0;
grid = new int[base][base];
for (int r = 0; r < base; r++) {
Arrays.fill(grid[r], -1);
for (int c = 2; c < base - 2; c++) {
if (r >= 2 && r < base - 2) {
if (board[r - 2].charAt(c - 2) == 'x') {
grid[r][c] = 0;
total++;
}
if (board[r - 2].charAt(c - 2) == '1') {
row = r;
col = c;
}
}
}
}
grid[row][col] = 1;
if (solve(row, col, 2))
printResult();
}
private static boolean solve(int r, int c, int count) {
if (count == total)
return true;
List<int[]> nbrs = neighbors(r, c);
if (nbrs.isEmpty() && count != total)
return false;
Collections.sort(nbrs, (a, b) -> a[2] - b[2]);
for (int[] nb : nbrs) {
r = nb[0];
c = nb[1];
grid[r][c] = count;
if (solve(r, c, count + 1))
return true;
grid[r][c] = 0;
}
return false;
}
private static List<int[]> neighbors(int r, int c) {
List<int[]> nbrs = new ArrayList<>();
for (int[] m : moves) {
int x = m[0];
int y = m[1];
if (grid[r + y][c + x] == 0) {
int num = countNeighbors(r + y, c + x) - 1;
nbrs.add(new int[]{r + y, c + x, num});
}
}
return nbrs;
}
private static int countNeighbors(int r, int c) {
int num = 0;
for (int[] m : moves)
if (grid[r + m[1]][c + m[0]] == 0)
num++;
return num;
}
private static void printResult() {
for (int[] row : grid) {
for (int i : row) {
if (i == -1)
System.out.printf("%2s ", ' ');
else
System.out.printf("%2d ", i);
}
System.out.println();
}
}
} |
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #Raku | Raku | # Reference:
# https://github.com/retupmoca/P6-SOAP
# http://wiki.dreamfactory.com/DreamFactory/Tutorials/Temp_Conversion_SOAP_API
use v6;
use SOAP::Client;
my $request = SOAP::Client.new('http://www.w3schools.com/xml/tempconvert.asmx?WSDL') or die;
say $request.call('CelsiusToFahrenheit', Celsius => 100 ) or die;
say $request.call('FahrenheitToCelsius', Fahrenheit => 212 ) or die; |
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #Ruby | Ruby | require 'soap/wsdlDriver'
wsdl = SOAP::WSDLDriverFactory.new("http://example.com/soap/wsdl")
soap = wsdl.create_rpc_driver
response1 = soap.soapFunc(:elementName => "value")
puts response1.soapFuncReturn
response2 = soap.anotherSoapFunc(:aNumber => 42)
puts response2.anotherSoapFuncReturn |
http://rosettacode.org/wiki/SOAP | SOAP | In this task, the goal is to create a SOAP client which accesses functions defined at http://example.com/soap/wsdl, and calls the functions soapFunc( ) and anotherSoapFunc( ).
This task has been flagged for clarification. Code on this page in its current state may be flagged incorrect once this task has been clarified. See this page's Talk page for discussion.
| #Smalltalk | Smalltalk | | service client response1 response2 |
service := SprayWSDLService onUrl: 'http://example.com/soap/wsdl'.
client := service createClient.
response1 := client send: 'soapFunc' withArguments:{ 'hello' }.
response2 := client send: 'anotherSoapFunc' withArguments:{ 34234 }. |
http://rosettacode.org/wiki/Solve_a_Hopido_puzzle | Solve a Hopido puzzle | Hopido puzzles are similar to Hidato. The most important difference is that the only moves allowed are: hop over one tile diagonally; and over two tiles horizontally and vertically. It should be possible to start anywhere in the path, the end point isn't indicated and there are no intermediate clues. Hopido Design Post Mortem contains the following:
"Big puzzles represented another problem. Up until quite late in the project our puzzle solver was painfully slow with most puzzles above 7×7 tiles. Testing the solution from each starting point could take hours. If the tile layout was changed even a little, the whole puzzle had to be tested again. We were just about to give up the biggest puzzles entirely when our programmer suddenly came up with a magical algorithm that cut the testing process down to only minutes. Hooray!"
Knowing the kindness in the heart of every contributor to Rosetta Code, I know that we shall feel that as an act of humanity we must solve these puzzles for them in let's say milliseconds.
Example:
. 0 0 . 0 0 .
0 0 0 0 0 0 0
0 0 0 0 0 0 0
. 0 0 0 0 0 .
. . 0 0 0 . .
. . . 0 . . .
Extra credits are available for other interesting designs.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Numbrix puzzle
Solve the no connection puzzle
| #Python | Python |
from sys import stdout
neighbours = [[2, 2], [-2, 2], [2, -2], [-2, -2], [3, 0], [0, 3], [-3, 0], [0, -3]]
cnt = 0
pWid = 0
pHei = 0
def is_valid(a, b):
return -1 < a < pWid and -1 < b < pHei
def iterate(pa, x, y, v):
if v > cnt:
return 1
for i in range(len(neighbours)):
a = x + neighbours[i][0]
b = y + neighbours[i][1]
if is_valid(a, b) and pa[a][b] == 0:
pa[a][b] = v
r = iterate(pa, a, b, v + 1)
if r == 1:
return r
pa[a][b] = 0
return 0
def solve(pz, w, h):
global cnt, pWid, pHei
pa = [[-1 for j in range(h)] for i in range(w)]
f = 0
pWid = w
pHei = h
for j in range(h):
for i in range(w):
if pz[f] == "1":
pa[i][j] = 0
cnt += 1
f += 1
for y in range(h):
for x in range(w):
if pa[x][y] == 0:
pa[x][y] = 1
if 1 == iterate(pa, x, y, 2):
return 1, pa
pa[x][y] = 0
return 0, pa
r = solve("011011011111111111111011111000111000001000", 7, 6)
if r[0] == 1:
for j in range(6):
for i in range(7):
if r[1][i][j] == -1:
stdout.write(" ")
else:
stdout.write(" {:0{}d}".format(r[1][i][j], 2))
print()
else:
stdout.write("No solution!")
|
http://rosettacode.org/wiki/Sort_an_array_of_composite_structures | Sort an array of composite structures |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of composite structures by a key.
For example, if you define a composite structure that presents a name-value pair (in pseudo-code):
Define structure pair such that:
name as a string
value as a string
and an array of such pairs:
x: array of pairs
then define a sort routine that sorts the array x by the key name.
This task can always be accomplished with Sorting Using a Custom Comparator.
If your language is not listed here, please see the other article.
| #EchoLisp | EchoLisp |
;; sorting (name value) by name - Ignoring case
(define (name a) (first a))
(define( sort-proc a b)
(string-ci<? (name a) (name b)))
(define people
'(("😎" -42) ("albert" 33) ("Simone" 44) ("Antoinette" 42) ("elvis" 666) ("😃" 1000)))
(list-sort sort-proc people)
→ (("albert" 33) ("Antoinette" 42) ("elvis" 666) ("Simone" 44) ("😃" 1000) ("😎" -42))
|
http://rosettacode.org/wiki/Sorting_algorithms/Counting_sort | Sorting algorithms/Counting sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
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)
Task
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 that can hold up to 32 bit integers, we see that in order to hold the counts, an array of up to 232 elements may be needed. I.E.: we need to hold a count value up to 232-1, which is a little over 4.2 Gbytes. So the counting sort is more practical when the range is (very) limited, and minimum and maximum values are known a priori. (However, as a counterexample, the use of sparse arrays minimizes the impact of the memory usage, as well as removing the need of having to know the minimum and maximum values a priori.)
| #VBScript | VBScript | 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 |
http://rosettacode.org/wiki/Solve_the_no_connection_puzzle | Solve the no connection puzzle | You are given a box with eight holes labelled A-to-H, connected by fifteen straight lines in the pattern as shown below:
A B
/│\ /│\
/ │ X │ \
/ │/ \│ \
C───D───E───F
\ │\ /│ /
\ │ X │ /
\│/ \│/
G H
You are also given eight pegs numbered 1-to-8.
Objective
Place the eight pegs in the holes so that the (absolute) difference between any two numbers connected by any line is greater than one.
Example
In this attempt:
4 7
/│\ /│\
/ │ X │ \
/ │/ \│ \
8───1───6───2
\ │\ /│ /
\ │ X │ /
\│/ \│/
3 5
Note that 7 and 6 are connected and have a difference of 1, so it is not a solution.
Task
Produce and show here one solution to the puzzle.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve a Numbrix puzzle
4-rings or 4-squares puzzle
See also
No Connection Puzzle (youtube).
| #J | J | holes=:;:'A B C D E F G H'
connections=:".;._2]0 :0
holes e.;:'C D E' NB. A
holes e.;:'D E F' NB. B
holes e.;:'A D G' NB. C
holes e.;:'A B C E G H' NB. D
holes e.;:'A B D F G H' NB. E
holes e.;:'B E H' NB. F
holes e.;:'C D E' NB. G
holes e.;:'D E F' NB. H
)
assert (-:|:) connections NB. catch typos
pegs=: 1+(A.&i.~ !)8
attempt=: [: <./@(-.&0)@,@:| connections * -/~
box=:0 :0
A B
/|\ /|\
/ | X | \
/ |/ \| \
C - D - E - F
\ |\ /| /
\ | X | /
\|/ \|/
G H
)
disp=:verb define
rplc&(,holes;&":&>y) box
) |
http://rosettacode.org/wiki/Solve_a_Numbrix_puzzle | Solve a Numbrix puzzle | Numbrix puzzles are similar to Hidato.
The most important difference is that it is only possible to move 1 node left, right, up, or down (sometimes referred to as the Von Neumann neighborhood).
Published puzzles also tend not to have holes in the grid and may not always indicate the end node.
Two examples follow:
Example 1
Problem.
0 0 0 0 0 0 0 0 0
0 0 46 45 0 55 74 0 0
0 38 0 0 43 0 0 78 0
0 35 0 0 0 0 0 71 0
0 0 33 0 0 0 59 0 0
0 17 0 0 0 0 0 67 0
0 18 0 0 11 0 0 64 0
0 0 24 21 0 1 2 0 0
0 0 0 0 0 0 0 0 0
Solution.
49 50 51 52 53 54 75 76 81
48 47 46 45 44 55 74 77 80
37 38 39 40 43 56 73 78 79
36 35 34 41 42 57 72 71 70
31 32 33 14 13 58 59 68 69
30 17 16 15 12 61 60 67 66
29 18 19 20 11 62 63 64 65
28 25 24 21 10 1 2 3 4
27 26 23 22 9 8 7 6 5
Example 2
Problem.
0 0 0 0 0 0 0 0 0
0 11 12 15 18 21 62 61 0
0 6 0 0 0 0 0 60 0
0 33 0 0 0 0 0 57 0
0 32 0 0 0 0 0 56 0
0 37 0 1 0 0 0 73 0
0 38 0 0 0 0 0 72 0
0 43 44 47 48 51 76 77 0
0 0 0 0 0 0 0 0 0
Solution.
9 10 13 14 19 20 63 64 65
8 11 12 15 18 21 62 61 66
7 6 5 16 17 22 59 60 67
34 33 4 3 24 23 58 57 68
35 32 31 2 25 54 55 56 69
36 37 30 1 26 53 74 73 70
39 38 29 28 27 52 75 72 71
40 43 44 47 48 51 76 77 78
41 42 45 46 49 50 81 80 79
Task
Write a program to solve puzzles of this ilk,
demonstrating your program by solving the above examples.
Extra credit for other interesting examples.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve the no connection puzzle
| #Ruby | Ruby | require 'HLPsolver'
ADJACENT = [[-1, 0], [0, -1], [0, 1], [1, 0]]
board1 = <<EOS
0 0 0 0 0 0 0 0 0
0 0 46 45 0 55 74 0 0
0 38 0 0 43 0 0 78 0
0 35 0 0 0 0 0 71 0
0 0 33 0 0 0 59 0 0
0 17 0 0 0 0 0 67 0
0 18 0 0 11 0 0 64 0
0 0 24 21 0 1 2 0 0
0 0 0 0 0 0 0 0 0
EOS
HLPsolver.new(board1).solve
board2 = <<EOS
0 0 0 0 0 0 0 0 0
0 11 12 15 18 21 62 61 0
0 6 0 0 0 0 0 60 0
0 33 0 0 0 0 0 57 0
0 32 0 0 0 0 0 56 0
0 37 0 1 0 0 0 73 0
0 38 0 0 0 0 0 72 0
0 43 44 47 48 51 76 77 0
0 0 0 0 0 0 0 0 0
EOS
HLPsolver.new(board2).solve |
http://rosettacode.org/wiki/Solve_a_Numbrix_puzzle | Solve a Numbrix puzzle | Numbrix puzzles are similar to Hidato.
The most important difference is that it is only possible to move 1 node left, right, up, or down (sometimes referred to as the Von Neumann neighborhood).
Published puzzles also tend not to have holes in the grid and may not always indicate the end node.
Two examples follow:
Example 1
Problem.
0 0 0 0 0 0 0 0 0
0 0 46 45 0 55 74 0 0
0 38 0 0 43 0 0 78 0
0 35 0 0 0 0 0 71 0
0 0 33 0 0 0 59 0 0
0 17 0 0 0 0 0 67 0
0 18 0 0 11 0 0 64 0
0 0 24 21 0 1 2 0 0
0 0 0 0 0 0 0 0 0
Solution.
49 50 51 52 53 54 75 76 81
48 47 46 45 44 55 74 77 80
37 38 39 40 43 56 73 78 79
36 35 34 41 42 57 72 71 70
31 32 33 14 13 58 59 68 69
30 17 16 15 12 61 60 67 66
29 18 19 20 11 62 63 64 65
28 25 24 21 10 1 2 3 4
27 26 23 22 9 8 7 6 5
Example 2
Problem.
0 0 0 0 0 0 0 0 0
0 11 12 15 18 21 62 61 0
0 6 0 0 0 0 0 60 0
0 33 0 0 0 0 0 57 0
0 32 0 0 0 0 0 56 0
0 37 0 1 0 0 0 73 0
0 38 0 0 0 0 0 72 0
0 43 44 47 48 51 76 77 0
0 0 0 0 0 0 0 0 0
Solution.
9 10 13 14 19 20 63 64 65
8 11 12 15 18 21 62 61 66
7 6 5 16 17 22 59 60 67
34 33 4 3 24 23 58 57 68
35 32 31 2 25 54 55 56 69
36 37 30 1 26 53 74 73 70
39 38 29 28 27 52 75 72 71
40 43 44 47 48 51 76 77 78
41 42 45 46 49 50 81 80 79
Task
Write a program to solve puzzles of this ilk,
demonstrating your program by solving the above examples.
Extra credit for other interesting examples.
Related tasks
A* search algorithm
Solve a Holy Knight's tour
Knight's tour
N-queens problem
Solve a Hidato puzzle
Solve a Holy Knight's tour
Solve a Hopido puzzle
Solve the no connection puzzle
| #SystemVerilog | SystemVerilog |
//////////////////////////////////////////////////////////////////////////////
/// NumbrixSolver ///
/// Solve the puzzle, by using system verilog randomization engine ///
//////////////////////////////////////////////////////////////////////////////
class NumbrixSolver;
rand int solvedBoard[][];
int fixedBoard[][];
int numCells;
////////////////////////////////////////////////////////////////////////////
/// Dynamically resize the board accordingly to the size of the reference///
/// board ///
////////////////////////////////////////////////////////////////////////////
constraint height {
solvedBoard.size == fixedBoard.size;
}
constraint width {
foreach(solvedBoard[i]) solvedBoard[i].size == fixedBoard[i].size;
}
////////////////////////////////////////////////////////////////////////////
/// Fix the positions defined in the input board ///
////////////////////////////////////////////////////////////////////////////
constraint fixed {
foreach(solvedBoard[i]) foreach(solvedBoard[i][j])
if(fixedBoard[i][j] != 0)solvedBoard[i][j] == fixedBoard[i][j];
}
////////////////////////////////////////////////////////////////////////////
/// Ensures that the whole board is filled from the number with numbers ///
/// 1,2,3,...,numCells ///
////////////////////////////////////////////////////////////////////////////
constraint range {
foreach(solvedBoard[i])foreach(solvedBoard[i][j])
solvedBoard[i][j] inside {[1:numCells]};
}
////////////////////////////////////////////////////////////////////////////
/// Ensures that there is no repeated number, consequently every number ///
/// is present on the board ///
////////////////////////////////////////////////////////////////////////////
constraint uniqueness {
foreach(solvedBoard[i1]) foreach(solvedBoard[i1][j1])
foreach(solvedBoard[i2]) foreach(solvedBoard[i2][j2])
if((i1 != i2) || (j1 != j2)) solvedBoard[i1][j1] != solvedBoard[i2][j2];
}
////////////////////////////////////////////////////////////////////////////
/// Ensures that exists one direction connecting the numbers in ///
/// increasing order ///
////////////////////////////////////////////////////////////////////////////
constraint f_seq {
foreach(solvedBoard[i])foreach(solvedBoard[i][j])
(solvedBoard[i][j] == (numCells)) ||
(solvedBoard[(i < solvedBoard.size-1) ? (i+1): i][j] ==
solvedBoard[i][j]+1) ||
(solvedBoard[i][(j < solvedBoard[i].size - 1) ? j+1: j] ==
solvedBoard[i][j]+1) ||
(solvedBoard[(i > 0) ? i-1: i][j] ==
solvedBoard[i][j]+1) ||
(solvedBoard[i][(j > 0)? j-1:j] ==
solvedBoard[i][j]+1);
}
function void pre_randomize();
// the multiplication is not supported in the constraints
numCells = fixedBoard.size * fixedBoard[0].size;
endfunction
function void printSolvedBoard();
foreach(solvedBoard[i]) begin
foreach(solvedBoard[j]) begin
$write("%4d", solvedBoard[i][j]);
end
$display("");
end
endfunction
endclass
//////////////////////////////////////////////////////////////////////////////
/// SolveNumBrix: A program demonstrating how to use NumbrixSolver class ///
//////////////////////////////////////////////////////////////////////////////
program SolveNumbrix;
NumbrixSolver board;
initial begin
board = new;
board.fixedBoard = '{
'{0, 0, 0, 0, 0, 0, 0, 0, 0},
'{0, 0, 46, 45, 0, 55, 74, 0, 0},
'{0, 38, 0, 0, 43, 0, 0, 78, 0},
'{0, 35, 0, 0, 0, 0, 0, 71, 0},
'{0, 0, 33, 0, 0, 0, 59, 0, 0},
'{0, 17, 0, 0, 0, 0, 0, 67, 0},
'{0, 18, 0, 0, 11, 0, 0, 64, 0},
'{0, 0, 24, 21, 0, 1, 2, 0, 0},
'{0, 0, 0, 0, 0, 0, 0, 0, 0}};
if(board.randomize()) begin
$display("Solution for the Example 1");
board.printSolvedBoard();
end
else begin
$display("Failed to solve Example 1");
end
board.fixedBoard = '{
{0, 0, 0, 0, 0, 0, 0, 0, 0},
{0, 11, 12, 15, 18, 21, 62, 61, 0},
{0, 6, 0, 0, 0, 0, 0, 60, 0},
{0, 33, 0, 0, 0, 0, 0, 57, 0},
{0, 32, 0, 0, 0, 0, 0, 56, 0},
{0, 37, 0, 1, 0, 0, 0, 73, 0},
{0, 38, 0, 0, 0, 0, 0, 72, 0},
{0, 43, 44, 47, 48, 51, 76, 77, 0},
'{0, 0, 0, 0, 0, 0, 0, 0, 0}};
if(board.randomize()) begin
$display("Solution for the Example 2");
board.printSolvedBoard();
end
else begin
$display("Failed to solve Example 2");
end
$finish;
end
endprogram
|
http://rosettacode.org/wiki/Sort_an_integer_array | Sort an integer array |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of integers in ascending numerical order.
Use a sorting facility provided by the language/library if possible.
| #Elixir | Elixir | list = [2, 4, 3, 1, 2]
IO.inspect Enum.sort(list)
IO.inspect Enum.sort(list, &(&1>&2)) |
http://rosettacode.org/wiki/Sort_an_integer_array | Sort an integer array |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of integers in ascending numerical order.
Use a sorting facility provided by the language/library if possible.
| #Erlang | Erlang | List = [2, 4, 3, 1, 2].
SortedList = lists:sort(List). |
http://rosettacode.org/wiki/Sort_a_list_of_object_identifiers | Sort a list of object identifiers |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Object identifiers (OID)
Task
Show how to sort a list of OIDs, in their natural sort order.
Details
An OID consists of one or more non-negative integers in base 10, separated by dots. It starts and ends with a number.
Their natural sort order is lexicographical with regard to the dot-separated fields, using numeric comparison between fields.
Test case
Input (list of strings)
Output (list of strings)
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11150.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11150.3.4.0.1
Related tasks
Natural sorting
Sort using a custom comparator
| #Phix | Phix | sequence strings = {"1.3.6.1.4.1.11.2.17.19.3.4.0.10",
"1.3.6.1.4.1.11.2.17.5.2.0.79",
"1.3.6.1.4.1.11.2.17.19.3.4.0.4",
"1.3.6.1.4.1.11150.3.4.0.1",
"1.3.6.1.4.1.11.2.17.19.3.4.0.1",
"1.3.6.1.4.1.11150.3.4.0"}
constant len = length(strings)
sequence sortable = repeat(0,len)
for i=1 to len do
sequence si = split(strings[i],'.')
for j=1 to length(si) do
si[j] = to_number(si[j])
end for
sortable[i] = {si,i}
end for
sortable = sort(sortable)
for i=1 to len do
?strings[sortable[i][2]]
end for
|
http://rosettacode.org/wiki/Sort_a_list_of_object_identifiers | Sort a list of object identifiers |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Object identifiers (OID)
Task
Show how to sort a list of OIDs, in their natural sort order.
Details
An OID consists of one or more non-negative integers in base 10, separated by dots. It starts and ends with a number.
Their natural sort order is lexicographical with regard to the dot-separated fields, using numeric comparison between fields.
Test case
Input (list of strings)
Output (list of strings)
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11150.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11.2.17.5.2.0.79
1.3.6.1.4.1.11.2.17.19.3.4.0.1
1.3.6.1.4.1.11.2.17.19.3.4.0.4
1.3.6.1.4.1.11.2.17.19.3.4.0.10
1.3.6.1.4.1.11150.3.4.0
1.3.6.1.4.1.11150.3.4.0.1
Related tasks
Natural sorting
Sort using a custom comparator
| #Phixmonti | Phixmonti | include ..\Utilitys.pmt
( "1.3.6.1.4.1.11.2.17.19.3.4.0.10"
"1.3.6.1.4.1.11.2.17.5.2.0.79"
"1.3.6.1.4.1.11.2.17.19.3.4.0.4"
"1.3.6.1.4.1.11150.3.4.0.1"
"1.3.6.1.4.1.11.2.17.19.3.4.0.1"
"1.3.6.1.4.1.11150.3.4.0" )
len for
var i
i get "." " " subst split
len for
var j
j get tonum j set
endfor
i set
endfor
sort
len for
var i
i get
"" var string
len for
get tostr "." chain string swap chain var string
endfor
drop
string 0 del i set
endfor
len for get print nl endfor
|
http://rosettacode.org/wiki/Sort_disjoint_sublist | Sort disjoint sublist |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Given a list of values and a set of integer indices into that value list, the task is to sort the values at the given indices, while preserving the values at indices outside the set of those to be sorted.
Make your example work with the following list of values and set of indices:
Values: [7, 6, 5, 4, 3, 2, 1, 0]
Indices: {6, 1, 7}
Where the correct result would be:
[7, 0, 5, 4, 3, 2, 1, 6].
In case of one-based indexing, rather than the zero-based indexing above, you would use the indices {7, 2, 8} instead.
The indices are described as a set rather than a list but any collection-type of those indices without duplication may be used as long as the example is insensitive to the order of indices given.
Cf.
Order disjoint list items
| #J | J | 7 6 5 4 3 2 1 0 (/:~@:{`[`]}~ /:~@~.) 6 1 7
7 0 5 4 3 2 1 6 |
http://rosettacode.org/wiki/Sort_disjoint_sublist | Sort disjoint sublist |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Given a list of values and a set of integer indices into that value list, the task is to sort the values at the given indices, while preserving the values at indices outside the set of those to be sorted.
Make your example work with the following list of values and set of indices:
Values: [7, 6, 5, 4, 3, 2, 1, 0]
Indices: {6, 1, 7}
Where the correct result would be:
[7, 0, 5, 4, 3, 2, 1, 6].
In case of one-based indexing, rather than the zero-based indexing above, you would use the indices {7, 2, 8} instead.
The indices are described as a set rather than a list but any collection-type of those indices without duplication may be used as long as the example is insensitive to the order of indices given.
Cf.
Order disjoint list items
| #Java | Java | import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Disjoint {
public static <T extends Comparable<? super T>> void sortDisjoint(
List<T> array, int[] idxs) {
Arrays.sort(idxs);
List<T> disjoint = new ArrayList<T>();
for (int idx : idxs) {
disjoint.add(array.get(idx));
}
Collections.sort(disjoint);
int i = 0;
for (int idx : idxs) {
array.set(idx, disjoint.get(i++));
}
}
public static void main(String[] args) {
List<Integer> list = Arrays.asList(7, 6, 5, 4, 3, 2, 1, 0);
int[] indices = {6, 1, 7};
System.out.println(list);
sortDisjoint(list, indices);
System.out.println(list);
}
} |
http://rosettacode.org/wiki/Sort_stability | Sort stability |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
When sorting records in a table by a particular column or field, a stable sort will always retain the relative order of records that have the same key.
Example
In this table of countries and cities, a stable sort on the second column, the cities, would keep the US Birmingham above the UK Birmingham.
(Although an unstable sort might, in this case, place the US Birmingham above the UK Birmingham, a stable sort routine would guarantee it).
UK London
US New York
US Birmingham
UK Birmingham
Similarly, stable sorting on just the first column would generate UK London as the first item and US Birmingham as the last item (since the order of the elements having the same first word – UK or US – would be maintained).
Task
Examine the documentation on any in-built sort routines supplied by a language.
Indicate if an in-built routine is supplied
If supplied, indicate whether or not the in-built routine is stable.
(This Wikipedia table shows the stability of some common sort routines).
| #zkl | zkl | fcn sortByColumn(list,col)
{ list.sort('wrap(city1,city2){ city1[col]<city2[col] }) } |
http://rosettacode.org/wiki/Sort_three_variables | Sort three variables |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort (the values of) three variables (X, Y, and Z) that contain any value (numbers and/or literals).
If that isn't possible in your language, then just sort numbers (and note if they can be floating point, integer, or other).
I.E.: (for the three variables x, y, and z), where:
x = 'lions, tigers, and'
y = 'bears, oh my!'
z = '(from the "Wizard of OZ")'
After sorting, the three variables would hold:
x = '(from the "Wizard of OZ")'
y = 'bears, oh my!'
z = 'lions, tigers, and'
For numeric value sorting, use:
I.E.: (for the three variables x, y, and z), where:
x = 77444
y = -12
z = 0
After sorting, the three variables would hold:
x = -12
y = 0
z = 77444
The variables should contain some form of a number, but specify if the algorithm
used can be for floating point or integers. Note any limitations.
The values may or may not be unique.
The method used for sorting can be any algorithm; the goal is to use the most idiomatic in the computer programming language used.
More than one algorithm could be shown if one isn't clearly the better choice.
One algorithm could be:
• store the three variables x, y, and z
into an array (or a list) A
• sort (the three elements of) the array A
• extract the three elements from the array and place them in the
variables x, y, and z in order of extraction
Another algorithm (only for numeric values):
x= 77444
y= -12
z= 0
low= x
mid= y
high= z
x= min(low, mid, high) /*determine the lowest value of X,Y,Z. */
z= max(low, mid, high) /* " " highest " " " " " */
y= low + mid + high - x - z /* " " middle " " " " " */
Show the results of the sort here on this page using at least the values of those shown above.
| #Raku | Raku | # Sorting strings. Added a vertical bar between strings to make them discernable
my ($a, $b, $c) = 'lions, tigers, and', 'bears, oh my!', '(from "The Wizard of Oz")';
say "sorting: {($a, $b, $c).join('|')}";
say ($a, $b, $c).sort.join('|'), ' - standard lexical string sort';
# Sorting numeric things
my ($x, $y, $z) = 7.7444e4, -12, 18/2;
say "\nsorting: $x $y $z";
say ($x, $y, $z).sort, ' - standard numeric sort, low to high';
# Or, with a modified comparitor:
for -*, ' - numeric sort high to low',
~*, ' - lexical "string" sort',
*.chars, ' - sort by string length short to long',
-*.chars, ' - or long to short'
-> $comparitor, $type {
my ($x, $y, $z) = 7.7444e4, -12, 18/2;
say ($x, $y, $z).sort( &$comparitor ), $type;
}
say '';
# sort ALL THE THINGS
# sorts by lexical order with numeric values by magnitude.
.say for ($a, $b, $c, $x, $y, $z).sort; |
http://rosettacode.org/wiki/Sort_using_a_custom_comparator | Sort using a custom comparator |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of strings in order of descending length, and in ascending lexicographic order for strings of equal length.
Use a sorting facility provided by the language/library, combined with your own callback comparison function.
Note: Lexicographic order is case-insensitive.
| #Nial | Nial | sort fork [=[tally first,tally last],up, >= [tally first,tally last]] ['Here', 'are', 'some', 'sample', 'strings', 'to', 'be', 'sorted']
=+-------+------+------+----+----+---+--+--+
=|strings|sample|sorted|Here|some|are|be|to|
=+-------+------+------+----+----+---+--+--+ |
http://rosettacode.org/wiki/Sort_using_a_custom_comparator | Sort using a custom comparator |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of strings in order of descending length, and in ascending lexicographic order for strings of equal length.
Use a sorting facility provided by the language/library, combined with your own callback comparison function.
Note: Lexicographic order is case-insensitive.
| #Nim | Nim | import strutils, algorithm
var strings = "here are Some sample strings to be sorted".split(' ')
strings.sort(proc (x, y: string): int =
result = cmp(y.len, x.len)
if result == 0:
result = cmpIgnoreCase(x, y)
)
echo strings |
http://rosettacode.org/wiki/Sorting_algorithms/Comb_sort | Sorting algorithms/Comb sort | Sorting algorithms/Comb sort
You are encouraged to solve this task according to the task description, using any language you may know.
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a comb sort.
The Comb Sort is a variant of the Bubble Sort.
Like the Shell sort, the Comb Sort increases the gap used in comparisons and exchanges.
Dividing the gap by
(
1
−
e
−
φ
)
−
1
≈
1.247330950103979
{\displaystyle (1-e^{-\varphi })^{-1}\approx 1.247330950103979}
works best, but 1.3 may be more practical.
Some implementations use the insertion sort once the gap is less than a certain amount.
Also see
the Wikipedia article: Comb sort.
Variants:
Combsort11 makes sure the gap ends in (11, 8, 6, 4, 3, 2, 1), which is significantly faster than the other two possible endings.
Combsort with different endings changes to a more efficient sort when the data is almost sorted (when the gap is small). Comb sort with a low gap isn't much better than the Bubble Sort.
Pseudocode:
function combsort(array input)
gap := input.size //initialize gap size
loop until gap = 1 and swaps = 0
//update the gap value for a next comb. Below is an example
gap := int(gap / 1.25)
if gap < 1
//minimum gap is 1
gap := 1
end if
i := 0
swaps := 0 //see Bubble Sort for an explanation
//a single "comb" over the input list
loop until i + gap >= input.size //see Shell sort for similar idea
if input[i] > input[i+gap]
swap(input[i], input[i+gap])
swaps := 1 // Flag a swap has occurred, so the
// list is not guaranteed sorted
end if
i := i + 1
end loop
end loop
end function
| #zkl | zkl | fcn combSort(list){
len,gap,swaps:=list.len(),len,True;
while(gap>1 or swaps){
gap,swaps=(1).max(gap.toFloat()/1.2473), False;
foreach i in (len - gap){
if(list[i]>list[i + gap]){
list.swap(i,i + gap);
swaps=True;
}
}
}
list
} |
http://rosettacode.org/wiki/Sorting_algorithms/Bogosort | Sorting algorithms/Bogosort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Bogosort a list of numbers.
Bogosort simply shuffles a collection randomly until it is sorted.
"Bogosort" is a perversely inefficient algorithm only used as an in-joke.
Its average run-time is O(n!) because the chance that any given shuffle of a set will end up in sorted order is about one in n factorial, and the worst case is infinite since there's no guarantee that a random shuffling will ever produce a sorted sequence.
Its best case is O(n) since a single pass through the elements may suffice to order them.
Pseudocode:
while not InOrder(list) do
Shuffle(list)
done
The Knuth shuffle may be used to implement the shuffle part of this algorithm.
| #Smalltalk | Smalltalk | Smalltalk at: #isItSorted put: [ :c |
|isit|
isit := false.
(2 to: (c size)) detect: [ :i |
( (c at: ( i - 1 )) > (c at: i) )
] ifNone: [ isit := true ].
isit
].
Smalltalk at: #bogosort put: [ :c |
[ isItSorted value: c ] whileFalse: [
1 to: (c size) do: [ :i |
|r t|
r := (Random between: 1 and: (c size)).
t := (c at: i).
c at: i put: (c at: r).
c at: r put: t
]
]
].
|tobesorted|
tobesorted := { 2 . 7 . 5 . 3 . 4 . 8 . 6 . 1 }.
bogosort value: tobesorted.
tobesorted displayNl. |
http://rosettacode.org/wiki/Sorting_algorithms/Bubble_sort | Sorting algorithms/Bubble sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
A bubble sort is generally considered to be the simplest sorting algorithm.
A bubble sort is also known as a sinking sort.
Because of its simplicity and ease of visualization, it is often taught in introductory computer science courses.
Because of its abysmal O(n2) performance, it is not used often for large (or even medium-sized) datasets.
The bubble sort works by passing sequentially over a list, comparing each value to the one immediately after it. If the first value is greater than the second, their positions are switched. Over a number of passes, at most equal to the number of elements in the list, all of the values drift into their correct positions (large values "bubble" rapidly toward the end, pushing others down around them).
Because each pass finds the maximum item and puts it at the end, the portion of the list to be sorted can be reduced at each pass.
A boolean variable is used to track whether any changes have been made in the current pass; when a pass completes without changing anything, the algorithm exits.
This can be expressed in pseudo-code as follows (assuming 1-based indexing):
repeat
if itemCount <= 1
return
hasChanged := false
decrement itemCount
repeat with index from 1 to itemCount
if (item at index) > (item at (index + 1))
swap (item at index) with (item at (index + 1))
hasChanged := true
until hasChanged = false
Task
Sort an array of elements using the bubble sort algorithm. The elements must have a total order and the index of the array can be of any discrete type. For languages where this is not possible, sort an array of integers.
References
The article on Wikipedia.
Dance interpretation.
| #Ezhil | Ezhil |
## இந்த நிரல் ஒரு பட்டியலில் உள்ள எண்களை Bubble Sort என்ற முறைப்படி ஏறுவரிசையிலும் பின்னர் அதையே இறங்குவரிசையிலும் அடுக்கித் தரும்
## மாதிரிக்கு நாம் ஏழு எண்களை எடுத்துக்கொள்வோம்
எண்கள் = [5, 1, 10, 8, 1, 21, 4, 2]
எண்கள்பிரதி = எண்கள்
பதிப்பி "ஆரம்பப் பட்டியல்:"
பதிப்பி எண்கள்
நீளம் = len(எண்கள்)
குறைநீளம் = நீளம் - 1
@(குறைநீளம் != -1) வரை
மாற்றம் = -1
@(எண் = 0, எண் < குறைநீளம், எண் = எண் + 1) ஆக
முதலெண் = எடு(எண்கள், எண்)
இரண்டாமெண் = எடு(எண்கள், எண் + 1)
@(முதலெண் > இரண்டாமெண்) ஆனால்
## பெரிய எண்களை ஒவ்வொன்றாகப் பின்னே நகர்த்துகிறோம்
வெளியேஎடு(எண்கள், எண்)
நுழைக்க(எண்கள், எண், இரண்டாமெண்)
வெளியேஎடு(எண்கள், எண் + 1)
நுழைக்க(எண்கள், எண் + 1, முதலெண்)
மாற்றம் = எண்
முடி
முடி
குறைநீளம் = மாற்றம்
முடி
பதிப்பி "ஏறு வரிசையில் அமைக்கப்பட்ட பட்டியல்:"
பதிப்பி எண்கள்
## இதனை இறங்குவரிசைக்கு மாற்றுவதற்கு எளிய வழி
தலைகீழ்(எண்கள்)
## இப்போது, நாம் ஏற்கெனவே எடுத்துவைத்த எண்களின் பிரதியை Bubble Sort முறைப்படி இறங்குவரிசைக்கு மாற்றுவோம்
நீளம் = len(எண்கள்பிரதி)
குறைநீளம் = நீளம் - 1
@(குறைநீளம் != -1) வரை
மாற்றம் = -1
@(எண் = 0, எண் < குறைநீளம், எண் = எண் + 1) ஆக
முதலெண் = எடு(எண்கள்பிரதி, எண்)
இரண்டாமெண் = எடு(எண்கள்பிரதி, எண் + 1)
@(முதலெண் < இரண்டாமெண்) ஆனால்
## சிறிய எண்களை ஒவ்வொன்றாகப் பின்னே நகர்த்துகிறோம்
வெளியேஎடு(எண்கள்பிரதி, எண்)
நுழைக்க(எண்கள்பிரதி, எண், இரண்டாமெண்)
வெளியேஎடு(எண்கள்பிரதி, எண் + 1)
நுழைக்க(எண்கள்பிரதி, எண் + 1, முதலெண்)
மாற்றம் = எண்
முடி
முடி
குறைநீளம் = மாற்றம்
முடி
பதிப்பி "இறங்கு வரிசையில் அமைக்கப்பட்ட பட்டியல்:"
பதிப்பி எண்கள்பிரதி
|
http://rosettacode.org/wiki/Sorting_algorithms/Gnome_sort | Sorting algorithms/Gnome sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Gnome 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)
Gnome sort is a sorting algorithm which is similar to Insertion sort, except that moving an element to its proper place is accomplished by a series of swaps, as in Bubble Sort.
The pseudocode for the algorithm is:
function gnomeSort(a[0..size-1])
i := 1
j := 2
while i < size do
if a[i-1] <= a[i] then
// for descending sort, use >= for comparison
i := j
j := j + 1
else
swap a[i-1] and a[i]
i := i - 1
if i = 0 then
i := j
j := j + 1
endif
endif
done
Task
Implement the Gnome sort in your language to sort an array (or list) of numbers.
| #Oz | Oz | declare
fun {GnomeSort Xs}
case Xs of nil then nil
[] X|Xr then {Loop [X] Xr}
end
end
fun {Loop Vs Ws}
case [Vs Ws]
of [V|_ W|Wr] andthen V =< W then {Loop W|Vs Wr}
[] [V|Vr W|Wr] then {Loop Vr W|V|Wr}
[] [nil W|Wr] then {Loop [W] Wr}
[] [Vs nil ] then {Reverse Vs}
end
end
in
{Show {GnomeSort [3 1 4 1 5 9 2 6 5]}} |
http://rosettacode.org/wiki/Sorting_algorithms/Cocktail_sort | Sorting algorithms/Cocktail sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Cocktail 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)
The cocktail shaker sort is an improvement on the Bubble Sort.
The improvement is basically that values "bubble" both directions through the array, because on each iteration the cocktail shaker sort bubble sorts once forwards and once backwards. Pseudocode for the algorithm (from wikipedia):
function cocktailSort( A : list of sortable items )
do
swapped := false
for each i in 0 to length( A ) - 2 do
if A[ i ] > A[ i+1 ] then // test whether the two
// elements are in the wrong
// order
swap( A[ i ], A[ i+1 ] ) // let the two elements
// change places
swapped := true;
if swapped = false then
// we can exit the outer loop here if no swaps occurred.
break do-while loop;
swapped := false
for each i in length( A ) - 2 down to 0 do
if A[ i ] > A[ i+1 ] then
swap( A[ i ], A[ i+1 ] )
swapped := true;
while swapped; // if no elements have been swapped,
// then the list is sorted
Related task
cocktail sort with shifting bounds
| #Nim | Nim | template trySwap(): untyped =
if a[i] < a[i-1]:
swap a[i], a[i-1]
t = false
proc cocktailSort[T](a: var openarray[T]) =
var t = false
var l = a.len
while not t:
t = true
for i in 1 ..< l: trySwap
if t: break
for i in countdown(l-1, 1): trySwap
var a = @[4, 65, 2, -31, 0, 99, 2, 83, 782]
cocktailSort a
echo a |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #C.23 | C# | using System;
using System.IO;
using System.Net.Sockets;
class Program {
static void Main(string[] args) {
TcpClient tcp = new TcpClient("localhost", 256);
StreamWriter writer = new StreamWriter(tcp.GetStream());
writer.Write("hello socket world");
writer.Flush();
tcp.Close();
}
} |
http://rosettacode.org/wiki/Sockets | Sockets | For this exercise a program is open a socket to localhost on port 256 and send the message "hello socket world" before closing the socket.
Catching any exceptions or errors is not required.
| #C.2B.2B | C++ | //compile with g++ main.cpp -lboost_system -pthread
#include <boost/asio.hpp>
int main()
{
boost::asio::io_context io_context;
boost::asio::ip::tcp::socket sock(io_context);
boost::asio::ip::tcp::resolver resolver(io_context);
boost::asio::ip::tcp::resolver::query query("localhost", "4321");
boost::asio::connect(sock, resolver.resolve(query));
boost::asio::write(sock, boost::asio::buffer("Hello world socket\r\n"));
return 0;
} |
http://rosettacode.org/wiki/Sleeping_Beauty_problem | Sleeping Beauty problem | Background on the task
In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.
If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.
Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always
estimate the probability of heads as 1/2, since she does not have any additional information. Others
have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice
as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate
should be 1/3 heads.
Task
Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the
proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty
is asked the question.
| #CLU | CLU | % This program needs to be merged with PCLU's "misc" library
% to use the random number generator.
experiment = cluster is run
rep = null
own awake: int := 0
own awake_heads: int := 0
% Returns true if heads, false if tails
coin_toss = proc () returns (bool)
return(random$next(2)=1)
end coin_toss
% Do the experiment once
do_experiment = proc ()
heads: bool := coin_toss()
% monday - wake up
awake := awake + 1
if heads then
awake_heads := awake_heads + 1
return
end
% tuesday - wake up if tails
awake := awake + 1
end do_experiment
% Run the experiment N times
run = proc (n: int) returns (real)
awake := 0
awake_heads := 0
for i: int in int$from_to(1,n) do
do_experiment()
end
return(real$i2r(awake_heads) / real$i2r(awake))
end run
end experiment
start_up = proc ()
N = 1000000
po: stream := stream$primary_output()
stream$puts(po, "Chance of waking up with heads: ")
chance: real := experiment$run(N)
stream$putl(po, f_form(chance, 1, 6))
end start_up |
http://rosettacode.org/wiki/Sleeping_Beauty_problem | Sleeping Beauty problem | Background on the task
In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.
If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.
Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always
estimate the probability of heads as 1/2, since she does not have any additional information. Others
have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice
as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate
should be 1/3 heads.
Task
Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the
proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty
is asked the question.
| #Dyalect | Dyalect | let experiments = 10000
var heads = 0
var wakenings = 0
for _ in 1..experiments {
wakenings += 1
match rnd(min: 0, max: 10) {
<5 => heads += 1,
_ => wakenings += 1
}
}
print("Wakenings over \(experiments) experiments: \(wakenings)")
print("Sleeping Beauty should estimate a credence of: \(Float(heads) / Float(wakenings))") |
http://rosettacode.org/wiki/Sleeping_Beauty_problem | Sleeping Beauty problem | Background on the task
In decision theory, The Sleeping Beauty Problem
is a problem invented by Arnold Zoboff and first publicized on Usenet. The experimental
subject, named Sleeping Beauty, agrees to an experiment as follows:
Sleeping Beauty volunteers to be put into a deep sleep on a Sunday. There is then a fair coin toss.
If this coin toss comes up heads, Sleeping Beauty wakes once (on Monday) and is asked to
estimate the probability that the coin toss was heads. Her estimate is recorded and she is
then put back to sleep for 2 days until Wednesday, at which time the experiment's results are tallied.
If instead the coin toss is tails, Sleeping Beauty wakes as before on Monday and asked to
estimate the probability the coin toss was heads, but is then given a drug which makes her forget
that she had been woken on Monday before being put back to sleep again. She then wakes only 1 day
later, on Tuesday. She is then asked (on Tuesday) again to guess the probability that the coin toss
was heads or tails. She is then put back to sleep and awakes as before 1 day later, on Wednesday.
Some decision makers have argued that since the coin toss was fair Sleeping Beauty should always
estimate the probability of heads as 1/2, since she does not have any additional information. Others
have disagreed, saying that if Sleeping Beauty knows the study design she also knows that she is twice
as likely to wake up and be asked to estimate the coin flip on tails than on heads, so the estimate
should be 1/3 heads.
Task
Given the above problem, create a Monte Carlo estimate of the actual results. The program should find the
proportion of heads on waking and asking Sleeping Beauty for an estimate, as a credence or as a percentage of the times Sleeping Beauty
is asked the question.
| #Excel | Excel | SLEEPINGB
=LAMBDA(n,
LET(
headsWakes, LAMBDA(x,
IF(1 = x,
{1,1},
{0,2}
)
)(
RANDARRAY(n, 1, 0, 1, TRUE)
),
CHOOSE(
{1,2},
SUM(INDEX(headsWakes, 0, 1)),
SUM(INDEX(headsWakes, 0, 2))
)
)
) |
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