Floyd-Warshall algorithm: Difference between revisions
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{{
The [[wp:Floyd–Warshall_algorithm|Floyd–Warshall algorithm]] is an algorithm for finding shortest paths in a weighted graph with positive or negative edge weights.
<br><br>
;Task
Find the lengths of the shortest paths between all pairs of vertices of the given directed graph. Your code may assume that the input has already been checked for loops, parallel edges and negative cycles.
[[File:Floyd_warshall_graph.gif|||center]]
Print the pair, the distance and (optionally) the path.
<br><br>
;Example
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
<br><br>
;See also
* [https://www.youtube.com/watch?v=8WSZQwNtXPU Floyd-Warshall Algorithm - step by step guide (youtube)]
<br><br>
=={{header|11l}}==
{{trans|Python}}
<syntaxhighlight lang="11l">F floyd_warshall(n, edge)
V rn = 0 .< n
V dist = rn.map(i -> [1'000'000] * @n)
V nxt = rn.map(i -> [0] * @n)
L(i) rn
dist[i][i] = 0
L(u, v, w) edge
dist[u - 1][v - 1] = w
nxt[u - 1][v - 1] = v - 1
L(k, i, j) cart_product(rn, rn, rn)
V sum_ik_kj = dist[i][k] + dist[k][j]
I dist[i][j] > sum_ik_kj
dist[i][j] = sum_ik_kj
nxt[i][j] = nxt[i][k]
print(‘pair dist path’)
L(i, j) cart_product(rn, rn)
I i != j
V path = [i]
L path.last != j
path.append(nxt[path.last][j])
print(‘#. -> #. #4 #.’.format(i + 1, j + 1, dist[i][j], path.map(p -> String(p + 1)).join(‘ -> ’)))
floyd_warshall(4, [(1, 3, -2), (2, 1, 4), (2, 3, 3), (3, 4, 2), (4, 2, -1)])</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|360 Assembly}}==
{{trans|Rexx}}
<syntaxhighlight lang="360asm">* Floyd-Warshall algorithm - 06/06/2018
FLOYDWAR CSECT
USING FLOYDWAR,R13 base register
B 72(R15) skip savearea
DC 17F'0' savearea
SAVE (14,12) save previous context
ST R13,4(R15) link backward
ST R15,8(R13) link forward
LR R13,R15 set addressability
MVC A+8,=F'-2' a(1,3)=-2
MVC A+VV*4,=F'4' a(2,1)= 4
MVC A+VV*4+8,=F'3' a(2,3)= 3
MVC A+VV*8+12,=F'2' a(3,4)= 2
MVC A+VV*12+4,=F'-1' a(4,2)=-1
LA R8,1 k=1
DO WHILE=(C,R8,LE,V) do k=1 to v
LA R10,A @a
LA R6,1 i=1
DO WHILE=(C,R6,LE,V) do i=1 to v
LA R7,1 j=1
DO WHILE=(C,R7,LE,V) do j=1 to v
LR R1,R6 i
BCTR R1,0
MH R1,=AL2(VV)
AR R1,R8 k
SLA R1,2
L R9,A-4(R1) a(i,k)
LR R1,R8 k
BCTR R1,0
MH R1,=AL2(VV)
AR R1,R7 j
SLA R1,2
L R3,A-4(R1) a(k,j)
AR R9,R3 w=a(i,k)+a(k,j)
L R2,0(R10) a(i,j)
IF CR,R2,GT,R9 THEN if a(i,j)>w then
ST R9,0(R10) a(i,j)=w
ENDIF , endif
LA R10,4(R10) next @a
LA R7,1(R7) j++
ENDDO , enddo j
LA R6,1(R6) i++
ENDDO , enddo i
LA R8,1(R8) k++
ENDDO , enddo k
LA R10,A @a
LA R6,1 f=1
DO WHILE=(C,R6,LE,V) do f=1 to v
LA R7,1 t=1
DO WHILE=(C,R7,LE,V) do t=1 to v
IF CR,R6,NE,R7 THEN if f^=t then do
LR R1,R6 f
XDECO R1,XDEC edit f
MVC PG+0(4),XDEC+8 output f
LR R1,R7 t
XDECO R1,XDEC edit t
MVC PG+8(4),XDEC+8 output t
L R2,0(R10) a(f,t)
XDECO R2,XDEC edit a(f,t)
MVC PG+12(4),XDEC+8 output a(f,t)
XPRNT PG,L'PG print
ENDIF , endif
LA R10,4(R10) next @a
LA R7,1(R7) t++
ENDDO , enddo t
LA R6,1(R6) f++
ENDDO , enddo f
L R13,4(0,R13) restore previous savearea pointer
RETURN (14,12),RC=0 restore registers from calling sav
VV EQU 4
V DC A(VV)
A DC (VV*VV)F'99999999' a(vv,vv)
PG DC CL80' . -> . .'
XDEC DS CL12
YREGS
END FLOYDWAR</syntaxhighlight>
{{out}}
<pre>
1 -> 2 -1
1 -> 3 -2
1 -> 4 0
2 -> 1 4
2 -> 3 2
2 -> 4 4
3 -> 1 5
3 -> 2 1
3 -> 4 2
4 -> 1 3
4 -> 2 -1
4 -> 3 1
</pre>
=={{header|Ada}}==
{{trans|Scheme}}
<syntaxhighlight lang="ada">--
-- Floyd-Warshall algorithm.
--
-- See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
--
with Ada.Containers.Vectors;
with Ada.Text_IO; use Ada.Text_IO;
with Interfaces; use Interfaces;
with Ada.Numerics.Generic_Elementary_Functions;
procedure floyd_warshall_task
is
Floyd_Warshall_Exception : exception;
-- The floating point type we shall use is one that has infinities.
subtype FloatPt is IEEE_Float_32;
package FloatPt_Elementary_Functions is new Ada.Numerics
.Generic_Elementary_Functions
(FloatPt);
use FloatPt_Elementary_Functions;
-- The following should overflow and give us an IEEE infinity. But I
-- have kept the code so you could use some non-IEEE floating point
-- format and set ENORMOUS_FloatPt to some value that is finite but
-- much larger than actual graph traversal distances.
ENORMOUS_FloatPt : constant FloatPt :=
(FloatPt (1.0) / FloatPt (1.0e-37))**1.0e37;
--
-- Input is a Vector of records representing the edges of a graph.
--
-- Vertices are identified by integers from 1 .. n.
--
type edge is record
u : Positive;
weight : FloatPt;
v : Positive;
end record;
package Edge_Vectors is new Ada.Containers.Vectors
(Index_Type => Positive, Element_Type => edge);
use Edge_Vectors;
subtype edge_vector is Edge_Vectors.Vector;
--
-- Floyd-Warshall.
--
type distance_array is
array (Positive range <>, Positive range <>) of FloatPt;
type next_vertex_array is
array (Positive range <>, Positive range <>) of Natural;
Nil_Vertex : constant Natural := 0;
function find_max_vertex -- Find the maximum vertex number.
(edges : in edge_vector)
return Positive
is
max_vertex : Positive;
begin
if Is_Empty (edges) then
raise Floyd_Warshall_Exception with "no edges";
end if;
max_vertex := 1;
for i in edges.First_Index .. edges.Last_Index loop
max_vertex := Positive'Max (max_vertex, edges.Element (i).u);
max_vertex := Positive'Max (max_vertex, edges.Element (i).v);
end loop;
return max_vertex;
end find_max_vertex;
procedure floyd_warshall -- Perform Floyd-Warshall.
(edges : in edge_vector;
max_vertex : in Positive;
distance : out distance_array;
next_vertex : out next_vertex_array)
is
u, v : Positive;
dist_ikj : FloatPt;
begin
-- Initialize.
for i in 1 .. max_vertex loop
for j in 1 .. max_vertex loop
distance (i, j) := ENORMOUS_FloatPt;
next_vertex (i, j) := Nil_Vertex;
end loop;
end loop;
for i in edges.First_Index .. edges.Last_Index loop
u := edges.Element (i).u;
v := edges.Element (i).v;
distance (u, v) := edges.Element (i).weight;
next_vertex (u, v) := v;
end loop;
for i in 1 .. max_vertex loop
distance (i, i) :=
FloatPt (0.0); -- Distance from a vertex to itself.
next_vertex (i, i) := i;
end loop;
-- Perform the algorithm.
for k in 1 .. max_vertex loop
for i in 1 .. max_vertex loop
for j in 1 .. max_vertex loop
dist_ikj := distance (i, k) + distance (k, j);
if dist_ikj < distance (i, j) then
distance (i, j) := dist_ikj;
next_vertex (i, j) := next_vertex (i, k);
end if;
end loop;
end loop;
end loop;
end floyd_warshall;
--
-- Path reconstruction.
--
procedure put_path
(next_vertex : in next_vertex_array;
u, v : in Positive)
is
i : Positive;
begin
if next_vertex (u, v) /= Nil_Vertex then
i := u;
Put (Positive'Image (i));
while i /= v loop
Put (" ->");
i := next_vertex (i, v);
Put (Positive'Image (i));
end loop;
end if;
end put_path;
example_graph : edge_vector;
max_vertex : Positive;
begin
Append (example_graph, (u => 1, weight => FloatPt (-2.0), v => 3));
Append (example_graph, (u => 3, weight => FloatPt (+2.0), v => 4));
Append (example_graph, (u => 4, weight => FloatPt (-1.0), v => 2));
Append (example_graph, (u => 2, weight => FloatPt (+4.0), v => 1));
Append (example_graph, (u => 2, weight => FloatPt (+3.0), v => 3));
max_vertex := find_max_vertex (example_graph);
declare
distance : distance_array (1 .. max_vertex, 1 .. max_vertex);
next_vertex : next_vertex_array
(1 .. max_vertex, 1 .. max_vertex);
begin
floyd_warshall (example_graph, max_vertex, distance, next_vertex);
Put_Line (" pair distance path");
Put_Line ("---------------------------------------------");
for u in 1 .. max_vertex loop
for v in 1 .. max_vertex loop
if u /= v then
Put (Positive'Image (u));
Put (" ->");
Put (Positive'Image (v));
Put (" ");
Put (FloatPt'Image (distance (u, v)));
Put (" ");
put_path (next_vertex, u, v);
Put_Line ("");
end if;
end loop;
end loop;
end;
end floyd_warshall_task;</syntaxhighlight>
{{out}}
<pre>$ gnatmake -q floyd_warshall_task.adb && ./floyd_warshall_task
pair distance path
---------------------------------------------
1 -> 2 -1.00000E+00 1 -> 3 -> 4 -> 2
1 -> 3 -2.00000E+00 1 -> 3
1 -> 4 0.00000E+00 1 -> 3 -> 4
2 -> 1 4.00000E+00 2 -> 1
2 -> 3 2.00000E+00 2 -> 1 -> 3
2 -> 4 4.00000E+00 2 -> 1 -> 3 -> 4
3 -> 1 5.00000E+00 3 -> 4 -> 2 -> 1
3 -> 2 1.00000E+00 3 -> 4 -> 2
3 -> 4 2.00000E+00 3 -> 4
4 -> 1 3.00000E+00 4 -> 2 -> 1
4 -> 2 -1.00000E+00 4 -> 2
4 -> 3 1.00000E+00 4 -> 2 -> 1 -> 3</pre>
=={{header|ALGOL 68}}==
{{Trans|Lua}}
<syntaxhighlight lang="algol68">
BEGIN # Floyd-Warshall algorithm - translated from the Lua sample #
OP FMT = ( REAL v )STRING:
BEGIN
STRING result := fixed( ABS v, 0, 15 );
IF result[ LWB result ] = "." THEN "0" +=: result FI;
WHILE result[ UPB result ] = "0" DO result := result[ : UPB result - 1 ] OD;
IF result[ UPB result ] = "." THEN result := result[ : UPB result - 1 ] FI;
IF v < 0 THEN "-" ELSE " " FI + result
END # FMT # ;
PROC print result = ( [,]REAL dist, [,]INT nxt )VOID:
BEGIN
print( ( "pair dist path", newline ) );
FOR i FROM 1 LWB nxt TO 1 UPB nxt DO
FOR j FROM 2 LWB nxt TO 2 UPB nxt DO
IF i /= j THEN
INT u := i + 1;
INT v = j + 1;
print( ( whole( u, 0 ), " -> ", whole( v, 0 ), " "
, FMT dist[ i, j ], " ", whole( u, 0 )
)
);
WHILE u := nxt[ u - 1, v - 1 ];
print( ( " -> " +whole( u, 0 ) ) );
u /= v
DO SKIP OD;
print( ( newline ) )
FI
OD
OD
END # print result # ;
PROC floyd warshall = ( [,]INT weights, INT num vertices )VOID:
BEGIN
REAL infinity = max real;
[ 0 : num vertices - 1, 0 : num vertices - 1 ]REAL dist;
FOR i FROM LWB dist TO 1 UPB dist DO
FOR j FROM 2 LWB dist TO 2 UPB dist DO
dist[ i, j ] := infinity
OD
OD;
FOR i FROM 1 LWB weights TO 1 UPB weights DO
# the weights array is one based #
[]INT w = weights[ i, : ];
dist[ w[ 1 ] - 1, w[ 2 ] - 1 ] := w[ 3 ]
OD;
[ 0 : num vertices - 1, 0 : num vertices - 1 ]INT nxt;
FOR i FROM LWB nxt TO 1 UPB nxt DO
FOR j FROM 2 LWB nxt TO 2 UPB nxt DO
nxt[ i, j ] := IF i /= j THEN j + 1 ELSE 0 FI
OD
OD;
FOR k FROM 2 LWB dist TO 2 UPB dist DO
FOR i FROM 1 LWB dist TO 1 UPB dist DO
FOR j FROM 2 LWB dist TO 2 UPB dist DO
IF dist[ i, k ] /= infinity AND dist[ k, j ] /= infinity THEN
IF dist[ i, k ] + dist[ k, j ] < dist[ i, j ] THEN
dist[ i, j ] := dist[ i, k ] + dist[ k, j ];
nxt[ i, j ] := nxt[ i, k ]
FI
FI
OD
OD
OD;
print result( dist, nxt )
END # floyd warshall # ;
[,]INT weights = ( ( 1, 3, -2 )
, ( 2, 1, 4 )
, ( 2, 3, 3 )
, ( 3, 4, 2 )
, ( 4, 2, -1 )
);
INT num vertices = 4;
floyd warshall( weights, num vertices )
END
</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|ATS}}==
===A first implementation===
{{trans|Ada}}
{{trans|RATFOR}}
This implementation uses non-linear types that will leak memory. However, such memory leaks are what Boehm GC is made to deal with. (Also, such leaks are inconsequential in a program like this one.)
Removing one of the runtime assertions ('''assertloc''') might prevent compilation. This is a difference between ATS and most other languages. For the template functions '''square_array_get_at''' and '''square_array_set_at''', there is a '''praxi''' (an axiom) instead of assertions, and so, by contrast, there is no runtime penalty. A proof of the "axiom" could have been derived from the properties of multiplication, in case I had any doubts (and one may be surprised how often one is wrong about a lemma), but I simply declared it as an axiom.
<syntaxhighlight lang="ats">(*
Floyd-Warshall algorithm.
See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
*)
#include "share/atspre_staload.hats"
#define NIL list_nil ()
#define :: list_cons
typedef Pos = [i : pos] int i
(*------------------------------------------------------------------*)
(* Square arrays with 1-based indexing. *)
extern praxi
lemma_square_array_indices {n : pos}
{i, j : pos | i <= n; j <= n}
() :<prf>
[0 <= (i - 1) + ((j - 1) * n);
(i - 1) + ((j - 1) * n) < n * n]
void
typedef square_array (t : t@ype+, n : int) =
'{
side_length = int n,
elements = arrayref (t, n * n)
}
fn {t : t@ype}
make_square_array {n : nat}
(n : int n,
fill : t) : square_array (t, n) =
let
prval () = mul_gte_gte_gte {n, n} ()
in
'{
side_length = n,
elements = arrayref_make_elt (i2sz (n * n), fill)
}
end
fn {t : t@ype}
square_array_get_at {n : pos}
{i, j : pos | i <= n; j <= n}
(arr : square_array (t, n),
i : int i,
j : int j) : t =
let
prval () = lemma_square_array_indices {n} {i, j} ()
in
arrayref_get_at (arr.elements,
(i - 1) + ((j - 1) * arr.side_length))
end
fn {t : t@ype}
square_array_set_at {n : pos}
{i, j : pos | i <= n; j <= n}
(arr : square_array (t, n),
i : int i,
j : int j,
x : t) : void =
let
prval () = lemma_square_array_indices {n} {i, j} ()
in
arrayref_set_at (arr.elements,
(i - 1) + ((j - 1) * arr.side_length),
x)
end
overload [] with square_array_get_at
overload [] with square_array_set_at
(*------------------------------------------------------------------*)
typedef floatpt = float
extern castfn i2floatpt : int -<> floatpt
macdef arbitrary_floatpt = i2floatpt (12345)
typedef distance_array (n : int) = square_array (floatpt, n)
typedef vertex = [i : nat] int i
#define NIL_VERTEX 0
typedef next_vertex_array (n : int) = square_array (vertex, n)
typedef edge =
'{ (* The ' means this is allocated by the garbage collector.*)
u = vertex,
weight = floatpt,
v = vertex
}
typedef edge_list (n : int) = list (edge, n)
typedef edge_list = [n : int] edge_list (n)
prfn (* edge_list have non-negative size. *)
lemma_edge_list_param {n : int} (edges : edge_list n)
:<prf> [0 <= n] void =
lemma_list_param edges
(*------------------------------------------------------------------*)
fn
find_max_vertex (edges : edge_list) : vertex =
let
fun
loop {n : nat} .<n>.
(p : edge_list n,
u : vertex) : vertex =
case+ p of
| NIL => u
| head :: tail =>
loop (tail, max (max (u, (head.u)), (head.v)))
prval () = lemma_edge_list_param edges
in
assertloc (isneqz edges);
loop (edges, 0)
end
fn
floyd_warshall {n : int}
(edges : edge_list,
n : int n,
distance : distance_array n,
next_vertex : next_vertex_array n) : void =
let
val () = assertloc (1 <= n)
in
(* This implementation does NOT initialize (to any meaningful
value) elements of "distance" that would be set "infinite" in
the Wikipedia pseudocode. Instead you should use the
"next_vertex" array to determine whether there exists a finite
path from one vertex to another.
Thus we avoid any dependence on IEEE floating point or on the
settings of the FPU. *)
(* Initialize. *)
let
var i : Pos
in
for (i := 1; i <= n; i := succ i)
let
var j : Pos
in
for (j := 1; j <= n; j := succ j)
next_vertex[i, j] := NIL_VERTEX
end
end;
let
var p : edge_list
in
for (p := edges; list_is_cons p; p := list_tail p)
let
val head = list_head p
val u = head.u
val () = assertloc (u <> NIL_VERTEX)
val () = assertloc (u <= n)
val v = head.v
val () = assertloc (v <> NIL_VERTEX)
val () = assertloc (v <= n)
in
distance[u, v] := head.weight;
next_vertex[u, v] := v
end
end;
let
var i : Pos
in
for (i := 1; i <= n; i := succ i)
begin
(* Distance from a vertex to itself is zero. *)
distance[i, i] := i2floatpt (0);
next_vertex[i, i] := i
end
end;
(* Perform the algorithm. *)
let
var k : Pos
in
for (k := 1; k <= n; k := succ k)
let
var i : Pos
in
for (i := 1; i <= n; i := succ i)
let
var j : Pos
in
for (j := 1; j <= n; j := succ j)
if next_vertex[i, k] <> NIL_VERTEX
&& next_vertex[k, j] <> NIL_VERTEX then
let
val dist_ikj = distance[i, k] + distance[k, j]
in
if next_vertex[i, j] = NIL_VERTEX
|| dist_ikj < distance[i, j] then
begin
distance[i, j] := dist_ikj;
next_vertex[i, j] := next_vertex[i, k]
end
end
end
end
end
end
fn
print_path {n : int}
(n : int n,
next_vertex : next_vertex_array n,
u : Pos,
v : Pos) : void =
if 0 < n then
let
val () = assertloc (u <= n)
val () = assertloc (v <= n)
in
if next_vertex[u, v] <> NIL_VERTEX then
let
var i : Int
in
i := u;
print! (i);
while (i <> v)
let
val () = assertloc (1 <= i)
val () = assertloc (i <= n)
in
print! (" -> ");
i := next_vertex[i, v];
print! (i)
end
end
end
implement
main0 () =
let
(* One might notice that (because consing prepends rather than
appends) the order of edges here is *opposite* to that of some
other languages' implementations. But the order of the edges is
immaterial. *)
val example_graph = NIL
val example_graph =
'{u = 1, weight = i2floatpt (~2), v = 3} :: example_graph
val example_graph =
'{u = 3, weight = i2floatpt (2), v = 4} :: example_graph
val example_graph =
'{u = 4, weight = i2floatpt (~1), v = 2} :: example_graph
val example_graph =
'{u = 2, weight = i2floatpt (4), v = 1} :: example_graph
val example_graph =
'{u = 2, weight = i2floatpt (3), v = 3} :: example_graph
val n = find_max_vertex (example_graph)
val distance = make_square_array<floatpt> (n, arbitrary_floatpt)
val next_vertex = make_square_array<vertex> (n, NIL_VERTEX)
in
floyd_warshall (example_graph, n, distance, next_vertex);
println! (" pair distance path");
println! ("------------------------------------------");
let
var u : Pos
in
for (u := 1; u <= n; u := succ u)
let
var v : Pos
in
for (v := 1; v <= n; v := succ v)
if u <> v then
begin
print! (" ", u, " -> ", v, " ");
if i2floatpt (0) <= distance[u, v] then
print! (" ");
print! (distance[u, v], " ");
print_path (n, next_vertex, u, v);
println! ()
end
end
end
end</syntaxhighlight>
{{out}}
<pre>$ patscc -O3 -DATS_MEMALLOC_GCBDW floyd_warshall_task.dats -lgc && ./a.out
pair distance path
------------------------------------------
1 -> 2 -1.000000 1 -> 3 -> 4 -> 2
1 -> 3 -2.000000 1 -> 3
1 -> 4 0.000000 1 -> 3 -> 4
2 -> 1 4.000000 2 -> 1
2 -> 3 2.000000 2 -> 1 -> 3
2 -> 4 4.000000 2 -> 1 -> 3 -> 4
3 -> 1 5.000000 3 -> 4 -> 2 -> 1
3 -> 2 1.000000 3 -> 4 -> 2
3 -> 4 2.000000 3 -> 4
4 -> 1 3.000000 4 -> 2 -> 1
4 -> 2 -1.000000 4 -> 2
4 -> 3 1.000000 4 -> 2 -> 1 -> 3</pre>
===A second implementation===
{{trans|Standard ML}}
A second version. An explanation of "Why a second version?" is contained in the program text.
<syntaxhighlight lang="ats">(*
Floyd-Warshall algorithm.
See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
-------------------------
WHY A SECOND ATS VERSION?
-------------------------
From the first ATS version, I derived a version in OCaml, which
modularized the code. From the OCaml, I produced a Standard ML
implementation that also made the types abstract.
Now I am returning to the ATS, to backport (among other things) the
abstraction of types. In fact I increase the abstraction, in a way
that protects the programmer against accidentally using the
"uninitialized" entries of the "distance" array.
Thus one can follow the chain of improvement, and also compare how
type abstraction is done Standard ML and in ATS. In ATS, type
abstraction can be done using "assume" statements or type casts.
*)
#include "share/atspre_staload.hats"
#define NIL list_nil ()
#define :: list_cons
typedef Pos = [i : pos] int i
(*------------------------------------------------------------------*)
(* You can change floatpt from "float" to "double" or another type,
if you wish. *)
typedef floatpt = float
extern castfn int2floatpt : int -<> floatpt
overload i2fp with int2floatpt
(*------------------------------------------------------------------*)
(* Square arrays with 1-based indexing. *)
local
typedef _square_array (t : t@ype+, n : int) =
(* '{ ... } with a "'" means the type is pointer to a record
allocated by the garbage collector. *)
'{
side_length = int n,
elements = arrayref (t, n * n)
}
in
abstype square_array (t : t@ype+, n : int)
assume square_array (t, n) = _square_array (t, n)
extern praxi
lemma_square_array_indices {n : pos}
{i, j : pos | i <= n; j <= n}
() :<prf>
[0 <= (i - 1) + ((j - 1) * n);
(i - 1) + ((j - 1) * n) < n * n]
void
fn {t : t@ype}
square_array_make {n : nat}
(n : int n,
fill : t) :<!wrt> square_array (t, n) =
let
prval () = mul_gte_gte_gte {n, n} ()
in
'{
side_length = n,
elements = arrayref_make_elt (i2sz (n * n), fill)
}
end
fn {t : t@ype}
square_array_get_at {n : pos}
{i, j : pos | i <= n; j <= n}
(arr : square_array (t, n),
i : int i,
j : int j) :<!ref> t =
let
prval () = lemma_square_array_indices {n} {i, j} ()
in
arrayref_get_at (arr.elements,
(i - 1) + ((j - 1) * arr.side_length))
end
fn {t : t@ype}
square_array_set_at {n : pos}
{i, j : pos | i <= n; j <= n}
(arr : square_array (t, n),
i : int i,
j : int j,
x : t) :<!refwrt> void =
let
prval () = lemma_square_array_indices {n} {i, j} ()
in
arrayref_set_at (arr.elements,
(i - 1) + ((j - 1) * arr.side_length),
x)
end
overload [] with square_array_get_at
overload [] with square_array_set_at
end (* local *)
(*------------------------------------------------------------------*)
(* A vertex made more abstract than simply identifying it with an
integer. *)
(* The following "abst@ype" tells the compiler that "vertex" is the
same size as "int" (as opposed to the size of a pointer, which
"abstype" assumes). It does *not* identify "vertex" with "int". *)
abst@ype vertex (i : int) = int
typedef vertex = [i : nat] vertex i
(* These casts let us convert between int and the abstract type. *)
extern castfn int2vertex : {i : nat} int i -<> vertex i
extern castfn vertex2int : {i : nat} vertex i -<> int i
macdef nil_vertex = int2vertex 0
fn
vertex_is_nil {u : nat}
(u : vertex u) :<> bool (u == 0) =
vertex2int u = vertex2int nil_vertex
fn
vertex_isnot_nil {u : nat}
(u : vertex u) :<> bool (u != 0) =
~vertex_is_nil u
fn
vertex_eq {u, v : nat}
(u : vertex u,
v : vertex v) :<> bool (u == v) =
vertex2int u = vertex2int v
fn
vertex_neq {u, v : nat}
(u : vertex u,
v : vertex v) :<> bool (u <> v) =
~vertex_eq (u, v)
fn
vertex_max {u, v : nat}
(u : vertex u,
v : vertex v) :<> vertex (max (u, v)) =
int2vertex (max (vertex2int u, vertex2int v))
fn
tostring_vertex (u : vertex) :<> string =
tostring_int (vertex2int u)
fn
tostring_directed_vertex_list (lst : List vertex) :<!wrt> string =
let
fun
loop {n : nat} .<n>.
(lst : list (vertex, n),
s : string) :<!wrt> string =
case+ lst of
| NIL => s
| u :: tail =>
let
val s_u = tostring_vertex u
in
if s = "" then
loop (tail, s_u)
else
let
val s1 = strptr2string (string_append (s, " -> ", s_u))
in
loop (tail, s1)
end
end
prval () = lemma_list_param lst
in
loop (lst, "")
end
overload iseqz with vertex_is_nil
overload isneqz with vertex_isnot_nil
overload = with vertex_eq
overload <> with vertex_neq
overload max with vertex_max
(*------------------------------------------------------------------*)
(* Graph edges, with weights. *)
local
typedef _edge (u : int, v : int) =
(* The type is pointer to a tuple allocated by the garbage
collector. *)
[1 <= u; 1 <= v] '(vertex u, floatpt, vertex v)
in
abstype edge (u : int, v : int)
typedef edge = [u, v : pos] edge (u, v)
assume edge (u, v) = _edge (u, v)
fn
edge_make {u, v : pos}
(u : vertex u,
weight : floatpt,
v : vertex v) :<> edge (u, v) =
'(u, weight, v)
fn
edge_first {u, v : pos}
(edge : edge (u, v)) :<> vertex u =
edge.0
fn
edge_weight (edge : edge) :<> floatpt =
edge.1
fn
edge_second {u, v : pos}
(edge : edge (u, v)) :<> vertex v =
edge.2
fn
max_vertex_in_edge_list (lst : List edge) :<> vertex =
let
fun
loop {n : nat} .<n>.
(lst : list (edge, n),
x : vertex) :<> vertex =
case+ lst of
| NIL => x
| edge :: tail =>
loop (tail,
max (max (edge_first edge, edge_second edge), x))
prval () = lemma_list_param lst
in
loop (lst, nil_vertex)
end
end (* local *)
(*------------------------------------------------------------------*)
(* Floyd-Warshall. *)
local
typedef _floyd_warshall_result (n : int) =
'{
n = int n,
dist = square_array (floatpt, n),
next = square_array (vertex, n)
}
fn {}
_dist_get_at {n : pos}
{i, j : pos | i <= n; j <= n}
(dist : square_array (floatpt, n),
i : int i,
j : int j) :<!ref> floatpt =
square_array_get_at (dist, i, j)
fn
_dist_set_at {n : pos}
{i, j : pos | i <= n; j <= n}
(dist : square_array (floatpt, n),
i : int i,
j : int j,
x : floatpt) :<!refwrt> void =
square_array_set_at (dist, i, j, x)
fn {}
_next_get_at {n : pos}
{i, j : pos | i <= n; j <= n}
(next : square_array (vertex, n),
i : int i,
j : int j) :<!ref> vertex =
square_array_get_at (next, i, j)
fn
_next_set_at {n : pos}
{i, j : pos | i <= n; j <= n}
(next : square_array (vertex, n),
i : int i,
j : int j,
x : vertex) :<!refwrt> void =
square_array_set_at (next, i, j, x)
in
abstype floyd_warshall_result (n : int)
typedef floyd_warshall_result = [n : nat] floyd_warshall_result n
assume floyd_warshall_result n = _floyd_warshall_result n
exception FloydWarshallError of (string)
fn
vertex_count {n : pos}
(fw : floyd_warshall_result n) :<> int n =
fw.n
fn
get_distance {n : pos}
{i, j : pos | i <= n; j <= n}
(fw : floyd_warshall_result n,
i : vertex i,
j : vertex j) :<!ref> Option floatpt =
(* Notice there is *no way* to return one of the "uninitialized"
values in the "dist" array (which were actually set to a
meaningless value, or could have been set to positive
infinity). Instead you get "None()".
This kind of behavior is better than returning "positive
infinity", because it does not depend on any particular sort of
floating point. Indeed, in Ada you could use fixed point. *)
let
val i = vertex2int i
val j = vertex2int j
val u = _next_get_at (fw.next, i, j)
in
if iseqz u then
None () (* There is no finite path. *)
else
Some (_dist_get_at (fw.dist, i, j))
end
fn
get_next_vertex {n : pos}
{i, j : pos | i <= n; j <= n}
(fw : floyd_warshall_result n,
i : vertex i,
j : vertex j) :<!ref> vertex =
_next_get_at (fw.next, vertex2int i, vertex2int j)
fn
floyd_warshall (edges : List edge)
:<1> [n : pos] floyd_warshall_result n =
let
val n = vertex2int (max_vertex_in_edge_list edges)
in
if n = 0 then
$raise FloydWarshallError ("no vertices")
else
let
macdef arbitrary_floatpt = i2fp (12345)
val dist = square_array_make<floatpt> (n, arbitrary_floatpt)
val next = square_array_make<vertex> (n, nil_vertex)
in
(* Initialize. *)
let
var i : Pos
in
for (i := 1; i <= n; i := succ i)
let
var j : Pos
in
for (j := 1; j <= n; j := succ j)
next[i, j] := nil_vertex
end
end;
let
var p : List edge
in
for (p := edges; list_is_cons p; p := list_tail p)
let
val edge = list_head p
val u = edge_first edge
val () = assertloc (isneqz u)
val () = assertloc (vertex2int u <= n)
val v = edge_second edge
val () = assertloc (isneqz v)
val () = assertloc (vertex2int v <= n)
in
dist[vertex2int u, vertex2int v] := edge_weight edge;
next[vertex2int u, vertex2int v] := v
end
end;
let
var i : Pos
in
for (i := 1; i <= n; i := succ i)
begin
(* Distance from a vertex to itself is zero. *)
dist[i, i] := int2floatpt (0);
next[i, i] := int2vertex i
end
end;
(* Perform the algorithm. *)
let
var k : Pos
in
for (k := 1; k <= n; k := succ k)
let
var i : Pos
in
for (i := 1; i <= n; i := succ i)
let
var j : Pos
in
for (j := 1; j <= n; j := succ j)
if isneqz next[i, k] && isneqz next[k, j] then
let
val dist_ikj = dist[i, k] + dist[k, j]
in
if iseqz next[i, j]
|| dist_ikj < dist[i, j] then
begin
dist[i, j] := dist_ikj;
next[i, j] := next[i, k]
end
end
end
end
end;
(* Return the result. *)
'{ n = n, dist = dist, next = next }
end
end
fn
get_path {n : int}
{u, v : pos}
(fw : floyd_warshall_result n,
u : vertex u,
v : vertex v) :<!refwrt,!exn> List vertex =
if (fw.n) < vertex2int u then
$raise FloydWarshallError ("vertex not found")
else if (fw.n) < vertex2int v then
$raise FloydWarshallError ("vertex not found")
else
if iseqz (get_next_vertex (fw, u, v)) then
NIL
else
let
fun
loop (w : vertex,
lst : List0 vertex) :<!ntm,!refwrt> List vertex =
if w = v then
list_vt2t (list_reverse lst)
else
let
val () =
$effmask_exn assertloc (isneqz w)
val () =
$effmask_exn assertloc (vertex2int w <= (fw.n))
val w = get_next_vertex (fw, w, v)
in
loop (w, w :: lst)
end
in
$effmask_ntm loop (u, u :: NIL)
end
end (* local *)
(*------------------------------------------------------------------*)
implement
main0 () =
let
val example_graph =
$list (edge_make (int2vertex 1, i2fp (~2), int2vertex 3),
edge_make (int2vertex 3, i2fp (2), int2vertex 4),
edge_make (int2vertex 4, i2fp (~1), int2vertex 2),
edge_make (int2vertex 2, i2fp (4), int2vertex 1),
edge_make (int2vertex 2, i2fp (3), int2vertex 3))
val fw = floyd_warshall example_graph
in
println! (" pair distance path");
println! ("------------------------------------------");
let
var i : Pos
in
for (i := 1; i <= (fw.n); i := succ i)
let
var j : Pos
in
for (j := 1; j <= (fw.n); j := succ j)
let
val u = int2vertex i
val v = int2vertex j
in
if u <> v then
let
val s_edge =
tostring_directed_vertex_list ($list (u, v))
val distance_opt = get_distance (fw, u, v)
in
print! (" ", s_edge, " ");
begin
case+ distance_opt of
| None () => print! " no path"
| Some distance =>
let
val path = get_path (fw, u, v)
val s_path =
tostring_directed_vertex_list path
in
if int2floatpt (0) <= distance then
print! " ";
print! distance;
print! " ";
print! s_path
end
end;
println! ()
end
end
end
end
end
(*------------------------------------------------------------------*)</syntaxhighlight>
{{out}}
<pre>$ patscc -O3 -DATS_MEMALLOC_GCBDW floyd_warshall_task_2.dats -lgc && ./a.out
pair distance path
------------------------------------------
1 -> 2 -1.000000 1 -> 3 -> 4 -> 2
1 -> 3 -2.000000 1 -> 3
1 -> 4 0.000000 1 -> 3 -> 4
2 -> 1 4.000000 2 -> 1
2 -> 3 2.000000 2 -> 1 -> 3
2 -> 4 4.000000 2 -> 1 -> 3 -> 4
3 -> 1 5.000000 3 -> 4 -> 2 -> 1
3 -> 2 1.000000 3 -> 4 -> 2
3 -> 4 2.000000 3 -> 4
4 -> 1 3.000000 4 -> 2 -> 1
4 -> 2 -1.000000 4 -> 2
4 -> 3 1.000000 4 -> 2 -> 1 -> 3</pre>
=={{header|C}}==
Reads the graph from a file, prints out usage on incorrect invocation.
<syntaxhighlight lang="c">
#include<limits.h>
#include<stdlib.h>
#include<stdio.h>
typedef struct{
int sourceVertex, destVertex;
int edgeWeight;
}edge;
typedef struct{
int vertices, edges;
edge* edgeMatrix;
}graph;
graph loadGraph(char* fileName){
FILE* fp = fopen(fileName,"r");
graph G;
int i;
fscanf(fp,"%d%d",&G.vertices,&G.edges);
G.edgeMatrix = (edge*)malloc(G.edges*sizeof(edge));
for(i=0;i<G.edges;i++)
fscanf(fp,"%d%d%d",&G.edgeMatrix[i].sourceVertex,&G.edgeMatrix[i].destVertex,&G.edgeMatrix[i].edgeWeight);
fclose(fp);
return G;
}
void floydWarshall(graph g){
int processWeights[g.vertices][g.vertices], processedVertices[g.vertices][g.vertices];
int i,j,k;
for(i=0;i<g.vertices;i++)
for(j=0;j<g.vertices;j++){
processWeights[i][j] = SHRT_MAX;
processedVertices[i][j] = (i!=j)?j+1:0;
}
for(i=0;i<g.edges;i++)
processWeights[g.edgeMatrix[i].sourceVertex-1][g.edgeMatrix[i].destVertex-1] = g.edgeMatrix[i].edgeWeight;
for(i=0;i<g.vertices;i++)
for(j=0;j<g.vertices;j++)
for(k=0;k<g.vertices;k++){
if(processWeights[j][i] + processWeights[i][k] < processWeights[j][k]){
processWeights[j][k] = processWeights[j][i] + processWeights[i][k];
processedVertices[j][k] = processedVertices[j][i];
}
}
printf("pair dist path");
for(i=0;i<g.vertices;i++)
for(j=0;j<g.vertices;j++){
if(i!=j){
printf("\n%d -> %d %3d %5d",i+1,j+1,processWeights[i][j],i+1);
k = i+1;
do{
k = processedVertices[k-1][j];
printf("->%d",k);
}while(k!=j+1);
}
}
}
int main(int argC,char* argV[]){
if(argC!=2)
printf("Usage : %s <file containing graph data>");
else
floydWarshall(loadGraph(argV[1]));
return 0;
}
</syntaxhighlight>
Input file, first row specifies number of vertices and edges.
<pre>
4 5
1 3 -2
3 4 2
4 2 -1
2 1 4
2 3 3
</pre>
Invocation and output:
<pre>
C:\rosettaCode>fwGraph.exe fwGraph.txt
pair dist path
1 -> 2 -1 1->3->4->2
1 -> 3 -2 1->3
1 -> 4 0 1->3->4
2 -> 1 4 2->1
2 -> 3 2 2->1->3
2 -> 4 4 2->1->3->4
3 -> 1 5 3->4->2->1
3 -> 2 1 3->4->2
3 -> 4 2 3->4
4 -> 1 3 4->2->1
4 -> 2 -1 4->2
4 -> 3 1 4->2->1->3
</pre>
==={{libheader|Gadget}}===
VERSION 2. Using Gadget, an a "C" library.
<syntaxhighlight lang="c">
#include <limits.h>
#include <gadget/gadget.h>
LIB_GADGET_START
/* algunos datos globales */
int vertices,edges;
/* algunos prototipos */
F_STAT DatosdeArchivo( const char *cFile);
int * CargaMatriz(int * mat, DS_ARRAY * mat_data, const char * cFile, F_STAT stat );
int * CargaGrafo(int * graph, DS_ARRAY * graph_data, const char *cFile);
void Floyd_Warshall(int * graph, DS_ARRAY graph_data);
/* bloque principal */
Main
if ( Arg_count != 2 ){
Msg_yellow("Modo de uso:\n ./floyd <archivo_de_vertices>\n");
Stop(1);
}
Get_arg_str (cFile,1);
Set_token_sep(' ');
Cls;
if(Exist_file(cFile)){
New array graph as int;
graph = CargaGrafo( pSDS(graph), cFile);
if(graph){
/* calcula Floyd-Warshall */
Print "Vertices=%d, edges=%d\n",vertices,edges;
Floyd_Warshall( SDS(graph) ); Prnl;
Free array graph;
}
}else{
Msg_redf("No existe el archivo %s",cFile);
}
Free secure cFile;
End
void Floyd_Warshall( RDS(int,graph) ){
Array processedVertices as int(vertices,vertices);
Fill array processWeights as int(vertices,vertices) with SHRT_MAX;
int i,j,k;
Range for processWeights [0:1:vertices, 0:1:vertices ];
Compute_for( processWeights, i,j,
$processedVertices[i,j] = (i!=j)?j+1:0;
)
#define VERT_ORIG 0
#define VERT_DEST 1
#define WEIGHT 2
Iterator up i [0:1:edges] {
$2processWeights[ $graph[i,VERT_ORIG]-1, $graph[i,VERT_DEST]-1 ] = $graph[i,WEIGHT];
}
Compute_for (processWeights,i,j,
Iterator up k [0:1:vertices] {
if( $processWeights[j,i] + $processWeights[i,k] < $processWeights[j,k] )
{
$processWeights[j,k] = $processWeights[j,i] + $processWeights[i,k];
$processedVertices[j,k] = $processedVertices[j,i];
}
} );
Print "pair dist path";
// ya existen rangos definios para "processWeights":
Compute_for(processWeights, i, j,
if(i!=j)
{
Print "\n%d -> %d %3d %5d", i+1, j+1, $processWeights[i,j], i+1;
int k = i+1;
do{
k = $processedVertices[k-1,j];
Print " -> %d", k;
}while(k!=j+1);
}
);
Free array processWeights, processedVertices;
}
F_STAT DatosdeArchivo( const char *cFile){
return Stat_file(cFile);
}
int * CargaMatriz( pRDS(int, mat), const char * cFile, F_STAT stat ){
return Load_matrix( SDS(mat), cFile, stat);
}
int * CargaGrafo( pRDS(int, graph), const char *cFile){
F_STAT dataFile = DatosdeArchivo(cFile);
if(dataFile.is_matrix){
Range ptr graph [0:1:dataFile.total_lines-1, 0:1:dataFile.max_tokens_per_line-1];
graph = CargaMatriz( SDS(graph), cFile, dataFile);
if( graph ){
/* obtengo vertices = 4 y edges = 5 */
edges = dataFile.total_lines;
Block( vertices, Range ptr graph [ 0:1:pRows(graph), 0:1:1 ];
DS_MAXMIN maxNode = Max_array( SDS(graph) );
Out_int( $graph[maxNode.local] ) );
}else{
Msg_redf("Archivo \"%s\" no ha podido ser cargado",cFile);
}
}else{
Msg_redf("Archivo \"%s\" no es cuadrado",cFile);
}
return graph;
}
</syntaxhighlight>
{{out}}
Archivo fuente: floyd_data.txt
<pre>
1 3 -2
3 4 2
4 2 -1
2 1 4
2 3 3
</pre>
Salida:
<pre>
$ ./floydWarshall floyd_data.txt
Vertices=4, edges=5
pair dist path
1 -> 2 -1 1->3->4->2
1 -> 3 -2 1->3
1 -> 4 0 1->3->4
2 -> 1 4 2->1
2 -> 3 2 2->1->3
2 -> 4 4 2->1->3->4
3 -> 1 5 3->4->2->1
3 -> 2 1 3->4->2
3 -> 4 2 3->4
4 -> 1 3 4->2->1
4 -> 2 -1 4->2
4 -> 3 1 4->2->1->3
</pre>
=={{header|C sharp|C#}}==
{{trans|Java}}
<syntaxhighlight lang="csharp">using System;
namespace FloydWarshallAlgorithm {
class Program {
static void FloydWarshall(int[,] weights, int numVerticies) {
double[,] dist = new double[numVerticies, numVerticies];
for (int i = 0; i < numVerticies; i++) {
for (int j = 0; j < numVerticies; j++) {
dist[i, j] = double.PositiveInfinity;
}
}
for (int i = 0; i < weights.GetLength(0); i++) {
dist[weights[i, 0] - 1, weights[i, 1] - 1] = weights[i, 2];
}
int[,] next = new int[numVerticies, numVerticies];
for (int i = 0; i < numVerticies; i++) {
for (int j = 0; j < numVerticies; j++) {
if (i != j) {
next[i, j] = j + 1;
}
}
}
for (int k = 0; k < numVerticies; k++) {
for (int i = 0; i < numVerticies; i++) {
for (int j = 0; j < numVerticies; j++) {
if (dist[i, k] + dist[k, j] < dist[i, j]) {
dist[i, j] = dist[i, k] + dist[k, j];
next[i, j] = next[i, k];
}
}
}
}
PrintResult(dist, next);
}
static void PrintResult(double[,] dist, int[,] next) {
Console.WriteLine("pair dist path");
for (int i = 0; i < next.GetLength(0); i++) {
for (int j = 0; j < next.GetLength(1); j++) {
if (i != j) {
int u = i + 1;
int v = j + 1;
string path = string.Format("{0} -> {1} {2,2:G} {3}", u, v, dist[i, j], u);
do {
u = next[u - 1, v - 1];
path += " -> " + u;
} while (u != v);
Console.WriteLine(path);
}
}
}
}
static void Main(string[] args) {
int[,] weights = { { 1, 3, -2 }, { 2, 1, 4 }, { 2, 3, 3 }, { 3, 4, 2 }, { 4, 2, -1 } };
int numVerticies = 4;
FloydWarshall(weights, numVerticies);
}
}
}</syntaxhighlight>
=={{header|C++}}==
<syntaxhighlight lang="cpp">#include <iostream>
#include <vector>
#include <sstream>
void print(std::vector<std::vector<double>> dist, std::vector<std::vector<int>> next) {
std::cout << "(pair, dist, path)" << std::endl;
const auto size = std::size(next);
for (auto i = 0; i < size; ++i) {
for (auto j = 0; j < size; ++j) {
if (i != j) {
auto u = i + 1;
auto v = j + 1;
std::cout << "(" << u << " -> " << v << ", " << dist[i][j]
<< ", ";
std::stringstream path;
path << u;
do {
u = next[u - 1][v - 1];
path << " -> " << u;
} while (u != v);
std::cout << path.str() << ")" << std::endl;
}
}
}
}
void solve(std::vector<std::vector<int>> w_s, const int num_vertices) {
std::vector<std::vector<double>> dist(num_vertices);
for (auto& dim : dist) {
for (auto i = 0; i < num_vertices; ++i) {
dim.push_back(INT_MAX);
}
}
for (auto& w : w_s) {
dist[w[0] - 1][w[1] - 1] = w[2];
}
std::vector<std::vector<int>> next(num_vertices);
for (auto i = 0; i < num_vertices; ++i) {
for (auto j = 0; j < num_vertices; ++j) {
next[i].push_back(0);
}
for (auto j = 0; j < num_vertices; ++j) {
if (i != j) {
next[i][j] = j + 1;
}
}
}
for (auto k = 0; k < num_vertices; ++k) {
for (auto i = 0; i < num_vertices; ++i) {
for (auto j = 0; j < num_vertices; ++j) {
if (dist[i][j] > dist[i][k] + dist[k][j]) {
dist[i][j] = dist[i][k] + dist[k][j];
next[i][j] = next[i][k];
}
}
}
}
print(dist, next);
}
int main() {
std::vector<std::vector<int>> w = {
{ 1, 3, -2 },
{ 2, 1, 4 },
{ 2, 3, 3 },
{ 3, 4, 2 },
{ 4, 2, -1 },
};
int num_vertices = 4;
solve(w, num_vertices);
std::cin.ignore();
std::cin.get();
return 0;
}</syntaxhighlight>
{{out}}
<pre>(pair, dist, path)
(1 -> 2, -1, 1 -> 3 -> 4 -> 2)
(1 -> 3, -2, 1 -> 3)
(1 -> 4, 0, 1 -> 3 -> 4)
(2 -> 1, 4, 2 -> 1)
(2 -> 3, 2, 2 -> 1 -> 3)
(2 -> 4, 4, 2 -> 1 -> 3 -> 4)
(3 -> 1, 5, 3 -> 4 -> 2 -> 1)
(3 -> 2, 1, 3 -> 4 -> 2)
(3 -> 4, 2, 3 -> 4)
(4 -> 1, 3, 4 -> 2 -> 1)
(4 -> 2, -1, 4 -> 2)
(4 -> 3, 1, 4 -> 2 -> 1 -> 3)</pre>
=={{header|Common Lisp}}==
{{trans|Scheme}}
I have wrapped the Common Lisp program in a [https://roswell.github.io/ Roswell] script.
Notice how in Common Lisp you have to specially quote the name of a function to call that function as an argument, whereas in Scheme no such thing is necessary. (In fact, a Scheme procedure does not really have a name; you are giving the name of a variable that holds the procedure.)
"Looping" (or tail recursion) is done differently, although it is common for a Common Lisp-like '''loop''' macro to be available in Scheme. A Common Lisp-like '''format''' also often is available.
<syntaxhighlight lang="lisp">#!/bin/sh
#|-*- mode:lisp -*-|#
#|
exec ros -Q -- $0 "$@"
|#
(progn ;;init forms
(ros:ensure-asdf)
#+quicklisp(ql:quickload '() :silent t)
)
(defpackage :ros.script.floyd-warshall.3861181636
(:use :cl))
(in-package :ros.script.floyd-warshall.3861181636)
;;;
;;; Floyd-Warshall algorithm.
;;;
;;; See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
;;;
;;; Translated from the Scheme. Small improvements (or what might be
;;; considered improvements), and some type specialization, have been
;;; added.
;;;
;;;-------------------------------------------------------------------
;;;
;;; A square array will be represented by an ordinary Common Lisp
;;; array, but accessed through our own functions (which look similar
;;; to, although not identical to, the corresponding Scheme
;;; functions).
;;;
;;; Square arrays are indexed *starting at one*.
;;;
(defun make-arr (n &key (element-type t) initial-element)
(make-array (list n n) :element-type element-type
:initial-element initial-element))
(defun arr-set (arr i j x)
(setf (aref arr (- i 1) (- j 1)) x))
(defun arr-ref (arr i j)
(aref arr (- i 1) (- j 1)))
;;;-------------------------------------------------------------------
;;;
;;; Floyd-Warshall.
;;;
;;; Input is a list of length-3 lists representing edges; each entry
;;; is:
;;;
;;; (start-vertex edge-weight end-vertex)
;;;
;;; where vertex identifiers are integers from 1 .. n.
;;;
;;; A difference from the Scheme implementation is that here we do not
;;; assume the floating point supports "infinities". In the Scheme we
;;; did, because in R7RS small there is support for such infinities
;;; (although the standard does not *require* them). Also because
;;; alternatives were not yet apparent to this author. :)
;;;
(defvar *floatpt* 'single-float)
(defconstant nil-vertex 0)
(defun floyd-warshall (edges)
(let* ((n
;; Set n to the maximum vertex number. By design, n also
;; equals the number of vertices.
(max (apply #'max (mapcar #'car edges))
(apply #'max (mapcar #'caddr edges))))
(distance
;; The distances are initialized to a purely arbitrary
;; value. An entry in the "distance" array is meaningful
;; *only* if the corresponding entry in "next-vertex" is
;; not the nil-vertex.
(make-arr n :element-type *floatpt*
:initial-element (coerce 12345 *floatpt*)))
(next-vertex
;; Unless later set otherwise, an entry in "next-vertex"
;; will be the nil-vertex.
(make-arr n :element-type 'fixnum
:initial-element nil-vertex)))
(defun dist (p q) (arr-ref distance p q))
(defun next (p q) (arr-ref next-vertex p q))
(defun set-dist (p q x) (arr-set distance p q x))
(defun set-next (p q x) (arr-set next-vertex p q x))
(defun nilnext (p q) (= (next p q) nil-vertex))
;; Initialize "distance" and "next-vertex".
(loop for edge in edges
do (let ((u (car edge))
(weight (cadr edge))
(v (caddr edge)))
(set-dist u v weight)
(set-next u v v)))
(loop for v from 1 to n
do (progn
;; The distance from a vertex to itself = 0.0.
(set-dist v v (coerce 0 *floatpt*))
(set-next v v v)))
;; Perform the algorithm.
(loop
for k from 1 to n
do (loop
for i from 1 to n
do (loop
for j from 1 to n
do (and (not (nilnext i k))
(not (nilnext k j))
(let* ((dist-ikj (+ (dist i k) (dist k j))))
(when (or (nilnext i j)
(< dist-ikj (dist i j)))
(set-dist i j dist-ikj)
(set-next i j (next i k))))))))
;; Return the results.
(values n distance next-vertex)))
;;;-------------------------------------------------------------------
;;;
;;; Path reconstruction from the "next-vertex" array.
;;;
;;; The return value is a list of vertices.
;;;
(defun find-path (next-vertex u v)
(if (= (arr-ref next-vertex u v) nil-vertex)
(list)
(cons u (let ((i u))
(loop while (/= i v)
do (setf i (arr-ref next-vertex i v))
collect i)))))
;;;-------------------------------------------------------------------
(defun directed-vertex-list-to-string (lst)
(if (not lst)
""
(let ((s (write-to-string (car lst))))
(loop for u in (cdr lst)
do (setf s (concatenate 'string s " -> "
(write-to-string u))))
s)))
;;;-------------------------------------------------------------------
(defun main (&rest argv)
(declare (ignorable argv))
(let ((example-graph
(mapcar (lambda (x) (list (coerce (car x) 'fixnum)
(coerce (cadr x) *floatpt*)
(coerce (caddr x) 'fixnum)))
'((1 -2 3)
(3 2 4)
(4 -1 2)
(2 4 1)
(2 3 3)))))
(multiple-value-bind (n distance next-vertex)
(floyd-warshall example-graph)
(princ " pair distance path")
(terpri)
(princ "-------------------------------------")
(terpri)
(loop
for u from 1 to n
do (loop
for v from 1 to n
do (unless (= u v)
(format
t " ~A ~7@A ~A~%"
(directed-vertex-list-to-string (list u v))
(if (= (arr-ref next-vertex u v) nil-vertex)
" no path"
(write-to-string (arr-ref distance u v)))
(directed-vertex-list-to-string
(find-path next-vertex u v)))))))))
;;;-------------------------------------------------------------------
;;; vim: set ft=lisp lisp:</syntaxhighlight>
{{out}}
<pre>$ ./floyd-warshall.ros
pair distance path
-------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|D}}==
{{trans|Java}}
<syntaxhighlight lang="d">import std.stdio;
void main() {
int[][] weights = [
[1, 3, -2],
[2, 1, 4],
[2, 3, 3],
[3, 4, 2],
[4, 2, -1]
];
int numVertices = 4;
floydWarshall(weights, numVertices);
}
void floydWarshall(int[][] weights, int numVertices) {
import std.array;
real[][] dist = uninitializedArray!(real[][])(numVertices, numVertices);
foreach(dim; dist) {
dim[] = real.infinity;
}
foreach (w; weights) {
dist[w[0]-1][w[1]-1] = w[2];
}
int[][] next = uninitializedArray!(int[][])(numVertices, numVertices);
for (int i=0; i<next.length; i++) {
for (int j=0; j<next.length; j++) {
if (i != j) {
next[i][j] = j+1;
}
}
}
for (int k=0; k<numVertices; k++) {
for (int i=0; i<numVertices; i++) {
for (int j=0; j<numVertices; j++) {
if (dist[i][j] > dist[i][k] + dist[k][j]) {
dist[i][j] = dist[i][k] + dist[k][j];
next[i][j] = next[i][k];
}
}
}
}
printResult(dist, next);
}
void printResult(real[][] dist, int[][] next) {
import std.conv;
import std.format;
writeln("pair dist path");
for (int i=0; i<next.length; i++) {
for (int j=0; j<next.length; j++) {
if (i!=j) {
int u = i+1;
int v = j+1;
string path = format("%d -> %d %2d %s", u, v, cast(int) dist[i][j], u);
do {
u = next[u-1][v-1];
path ~= text(" -> ", u);
} while (u != v);
writeln(path);
}
}
}
}</syntaxhighlight>
{{out}}
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|EchoLisp}}==
Transcription of the Floyd-Warshall algorithm, with best path computation.
<
(lib 'matrix)
Line 13 ⟶ 2,102:
(define (floyd-with-path n dist next (d 0))
;; utilities
Line 25 ⟶ 2,114:
(define (init-edges n dist next)
(for* ((i n) (j n))
;; show path from u to v
(define (path u v)
(define( mdist u v) ;; show computed distance
(define (task)
</syntaxhighlight>
{{out}}
<pre>
Line 86 ⟶ 2,173:
</pre>
=={{header|Elixir}}==
<syntaxhighlight lang="elixir">defmodule Floyd_Warshall do
def main(n, edge) do
{dist, next} = setup(n, edge)
{dist, next} = shortest_path(n, dist, next)
print(n, dist, next)
end
defp setup(n, edge) do
big = 1.0e300
dist = for i <- 1..n, j <- 1..n, into: %{}, do: {{i,j},(if i==j, do: 0, else: big)}
next = for i <- 1..n, j <- 1..n, into: %{}, do: {{i,j}, nil}
Enum.reduce(edge, {dist,next}, fn {u,v,w},{dst,nxt} ->
{ Map.put(dst, {u,v}, w), Map.put(nxt, {u,v}, v) }
end)
end
defp shortest_path(n, dist, next) do
(for k <- 1..n, i <- 1..n, j <- 1..n, do: {k,i,j})
|> Enum.reduce({dist,next}, fn {k,i,j},{dst,nxt} ->
if dst[{i,j}] > dst[{i,k}] + dst[{k,j}] do
{Map.put(dst, {i,j}, dst[{i,k}] + dst[{k,j}]), Map.put(nxt, {i,j}, nxt[{i,k}])}
else
{dst, nxt}
end
end)
end
defp print(n, dist, next) do
IO.puts "pair dist path"
for i <- 1..n, j <- 1..n, i != j,
do: :io.format "~w -> ~w ~4w ~s~n", [i, j, dist[{i,j}], path(next, i, j)]
end
defp path(next, i, j), do: path(next, i, j, [i]) |> Enum.join(" -> ")
defp path(_next, i, i, list), do: Enum.reverse(list)
defp path(next, i, j, list) do
u = next[{i,j}]
path(next, u, j, [u | list])
end
end
edge = [{1, 3, -2}, {2, 1, 4}, {2, 3, 3}, {3, 4, 2}, {4, 2, -1}]
Floyd_Warshall.main(4, edge)</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|F_Sharp|F#}}==
===Floyd's algorithm===
<syntaxhighlight lang="fsharp">
//Floyd's algorithm: Nigel Galloway August 5th 2018
let Floyd (n:'a[]) (g:Map<('a*'a),int>)= //nodes graph(Map of adjacency list)
let ix n g=Seq.init (pown g n) (fun x->List.unfold(fun (a,b)->if a=0 then None else Some(b%g,(a-1,b/g)))(n,x))
let fN w (i,j,k)=match Map.tryFind(i,j) w,Map.tryFind(i,k) w,Map.tryFind(k,j) w with
|(None ,Some j,Some k)->Some(j+k)
|(Some i,Some j,Some k)->if (j+k) < i then Some(j+k) else None
|_ ->None
let n,z=ix 3 (Array.length n)|>Seq.choose(fun (i::j::k::_)->if i<>j&&i<>k&&j<>k then Some(n.[i],n.[j],n.[k]) else None)
|>Seq.fold(fun (n,n') ((i,j,k) as g)->match fN n g with |Some g->(Map.add (i,j) g n,Map.add (i,j) k n')|_->(n,n')) (g,Map.empty)
(n,(fun x y->seq{
let rec fN n g=seq{
match Map.tryFind (n,g) z with
|Some r->yield! fN n r; yield Some r;yield! fN r g
|_->yield None}
yield! fN x y |> Seq.choose id; yield y}))
</syntaxhighlight>
===The Task===
<syntaxhighlight lang="fsharp">
let fW=Map[((1,3),-2);((3,4),2);((4,2),-1);((2,1),4);((2,3),3)]
let N,G=Floyd [|1..4|] fW
List.allPairs [1..4] [1..4]|>List.filter(fun (n,g)->n<>g)|>List.iter(fun (n,g)->printfn "%d->%d %d %A" n g N.[(n,g)] (n::(List.ofSeq (G n g))))
</syntaxhighlight>
{{out}}
<pre>
1->2 -1 [1; 3; 4; 2]
1->3 -2 [1; 3]
1->4 0 [1; 3; 4]
2->1 4 [2; 1]
2->3 2 [2; 1; 3]
2->4 4 [2; 1; 3; 4]
3->1 5 [3; 4; 2; 1]
3->2 1 [3; 4; 2]
3->4 2 [3; 4]
4->1 3 [4; 2; 1]
4->2 -1 [4; 2]
4->3 1 [4; 2; 1; 3]
</pre>
=={{header|Fortran}}==
{{trans|Ada}}
{{works with|gfortran|11.3.0}}
<syntaxhighlight lang="fortran">module floyd_warshall_algorithm
use, intrinsic :: ieee_arithmetic
implicit none
integer, parameter :: floating_point_kind = &
& ieee_selected_real_kind (6, 37)
integer, parameter :: fpk = floating_point_kind
integer, parameter :: nil_vertex = 0
type :: edge
integer :: u
real(kind = fpk) :: weight
integer :: v
end type edge
type :: edge_list
type(edge), allocatable :: element(:)
end type edge_list
contains
subroutine make_example_graph (edges)
type(edge_list), intent(out) :: edges
allocate (edges%element(1:5))
edges%element(1) = edge (1, -2.0, 3)
edges%element(2) = edge (3, +2.0, 4)
edges%element(3) = edge (4, -1.0, 2)
edges%element(4) = edge (2, +4.0, 1)
edges%element(5) = edge (2, +3.0, 3)
end subroutine make_example_graph
function find_max_vertex (edges) result (n)
type(edge_list), intent(in) :: edges
integer n
integer i
n = 1
do i = lbound (edges%element, 1), ubound (edges%element, 1)
n = max (n, edges%element(i)%u)
n = max (n, edges%element(i)%v)
end do
end function find_max_vertex
subroutine floyd_warshall (edges, max_vertex, distance, next_vertex)
type(edge_list), intent(in) :: edges
integer, intent(out) :: max_vertex
real(kind = fpk), allocatable, intent(out) :: distance(:,:)
integer, allocatable, intent(out) :: next_vertex(:,:)
integer :: n
integer :: i, j, k
integer :: u, v
real(kind = fpk) :: dist_ikj
real(kind = fpk) :: infinity
n = find_max_vertex (edges)
max_vertex = n
allocate (distance(1:n, 1:n))
allocate (next_vertex(1:n, 1:n))
infinity = ieee_value (1.0_fpk, ieee_positive_inf)
! Initialize.
do i = 1, n
do j = 1, n
distance(i, j) = infinity
next_vertex (i, j) = nil_vertex
end do
end do
do i = lbound (edges%element, 1), ubound (edges%element, 1)
u = edges%element(i)%u
v = edges%element(i)%v
distance(u, v) = edges%element(i)%weight
next_vertex(u, v) = v
end do
do i = 1, n
distance(i, i) = 0.0_fpk ! Distance from a vertex to itself.
next_vertex(i, i) = i
end do
! Perform the algorithm.
do k = 1, n
do i = 1, n
do j = 1, n
dist_ikj = distance(i, k) + distance(k, j)
if (dist_ikj < distance(i, j)) then
distance(i, j) = dist_ikj
next_vertex(i, j) = next_vertex(i, k)
end if
end do
end do
end do
end subroutine floyd_warshall
subroutine print_path (next_vertex, u, v)
integer, intent(in) :: next_vertex(:,:)
integer, intent(in) :: u, v
integer i
if (next_vertex(u, v) /= nil_vertex) then
i = u
write (*, '(I0)', advance = 'no') i
do while (i /= v)
i = next_vertex(i, v)
write (*, '('' -> '', I0)', advance = 'no') i
end do
end if
end subroutine print_path
end module floyd_warshall_algorithm
program floyd_warshall_task
use, non_intrinsic :: floyd_warshall_algorithm
implicit none
type(edge_list) :: example_graph
integer :: max_vertex
real(kind = fpk), allocatable :: distance(:,:)
integer, allocatable :: next_vertex(:,:)
integer :: u, v
call make_example_graph (example_graph)
call floyd_warshall (example_graph, max_vertex, distance, &
& next_vertex)
1000 format (1X, I0, ' -> ', I0, 5X, F4.1, 6X)
write (*, '('' pair distance path'')')
write (*, '(''---------------------------------------'')')
do u = 1, max_vertex
do v = 1, max_vertex
if (u /= v) then
write (*, 1000, advance = 'no') u, v, distance(u, v)
call print_path (next_vertex, u, v)
write (*, '()', advance = 'yes')
end if
end do
end do
end program floyd_warshall_task</syntaxhighlight>
{{out}}
<pre>$ gfortran -g -std=f2018 -fcheck=all -fno-unsafe-math-optimizations -frounding-math -fsignaling-nans floyd_warshall_task.f90 && ./a.out
pair distance path
---------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|FreeBASIC}}==
{{trans|Java}}
<syntaxhighlight lang="freebasic">' FB 1.05.0 Win64
Const POSITIVE_INFINITY As Double = 1.0/0.0
Sub printResult(dist(any, any) As Double, nxt(any, any) As Integer)
Dim As Integer u, v
Print("pair dist path")
For i As Integer = 0 To UBound(nxt, 1)
For j As Integer = 0 To UBound(nxt, 1)
If i <> j Then
u = i + 1
v = j + 1
Print Str(u); " -> "; Str(v); " "; dist(i, j); " "; Str(u);
Do
u = nxt(u - 1, v - 1)
Print " -> "; Str(u);
Loop While u <> v
Print
End If
Next j
Next i
End Sub
Sub floydWarshall(weights(Any, Any) As Integer, numVertices As Integer)
Dim dist(0 To numVertices - 1, 0 To numVertices - 1) As Double
For i As Integer = 0 To numVertices - 1
For j As Integer = 0 To numVertices - 1
dist(i, j) = POSITIVE_INFINITY
Next j
Next i
For x As Integer = 0 To UBound(weights, 1)
dist(weights(x, 0) - 1, weights(x, 1) - 1) = weights(x, 2)
Next x
Dim nxt(0 To numVertices - 1, 0 To numVertices - 1) As Integer
For i As Integer = 0 To numVertices - 1
For j As Integer = 0 To numVertices - 1
If i <> j Then nxt(i, j) = j + 1
Next j
Next i
For k As Integer = 0 To numVertices - 1
For i As Integer = 0 To numVertices - 1
For j As Integer = 0 To numVertices - 1
If (dist(i, k) + dist(k, j)) < dist(i, j) Then
dist(i, j) = dist(i, k) + dist(k, j)
nxt(i, j) = nxt(i, k)
End If
Next j
Next i
Next k
printResult(dist(), nxt())
End Sub
Dim weights(4, 2) As Integer = {{1, 3, -2}, {2, 1, 4}, {2, 3, 3}, {3, 4, 2}, {4, 2, -1}}
Dim numVertices As Integer = 4
floydWarshall(weights(), numVertices)
Print
Print "Press any key to quit"
Sleep</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|Go}}==
<syntaxhighlight lang="go">package main
import (
"fmt"
"strconv"
)
// A Graph is the interface implemented by graphs that
// this algorithm can run on.
type Graph interface {
Vertices() []Vertex
Neighbors(v Vertex) []Vertex
Weight(u, v Vertex) int
}
// Nonnegative integer ID of vertex
type Vertex int
// ig is a graph of integers that satisfies the Graph interface.
type ig struct {
vert []Vertex
edges map[Vertex]map[Vertex]int
}
func (g ig) edge(u, v Vertex, w int) {
if _, ok := g.edges[u]; !ok {
g.edges[u] = make(map[Vertex]int)
}
g.edges[u][v] = w
}
func (g ig) Vertices() []Vertex { return g.vert }
func (g ig) Neighbors(v Vertex) (vs []Vertex) {
for k := range g.edges[v] {
vs = append(vs, k)
}
return vs
}
func (g ig) Weight(u, v Vertex) int { return g.edges[u][v] }
func (g ig) path(vv []Vertex) (s string) {
if len(vv) == 0 {
return ""
}
s = strconv.Itoa(int(vv[0]))
for _, v := range vv[1:] {
s += " -> " + strconv.Itoa(int(v))
}
return s
}
const Infinity = int(^uint(0) >> 1)
func FloydWarshall(g Graph) (dist map[Vertex]map[Vertex]int, next map[Vertex]map[Vertex]*Vertex) {
vert := g.Vertices()
dist = make(map[Vertex]map[Vertex]int)
next = make(map[Vertex]map[Vertex]*Vertex)
for _, u := range vert {
dist[u] = make(map[Vertex]int)
next[u] = make(map[Vertex]*Vertex)
for _, v := range vert {
dist[u][v] = Infinity
}
dist[u][u] = 0
for _, v := range g.Neighbors(u) {
v := v
dist[u][v] = g.Weight(u, v)
next[u][v] = &v
}
}
for _, k := range vert {
for _, i := range vert {
for _, j := range vert {
if dist[i][k] < Infinity && dist[k][j] < Infinity {
if dist[i][j] > dist[i][k]+dist[k][j] {
dist[i][j] = dist[i][k] + dist[k][j]
next[i][j] = next[i][k]
}
}
}
}
}
return dist, next
}
func Path(u, v Vertex, next map[Vertex]map[Vertex]*Vertex) (path []Vertex) {
if next[u][v] == nil {
return
}
path = []Vertex{u}
for u != v {
u = *next[u][v]
path = append(path, u)
}
return path
}
func main() {
g := ig{[]Vertex{1, 2, 3, 4}, make(map[Vertex]map[Vertex]int)}
g.edge(1, 3, -2)
g.edge(3, 4, 2)
g.edge(4, 2, -1)
g.edge(2, 1, 4)
g.edge(2, 3, 3)
dist, next := FloydWarshall(g)
fmt.Println("pair\tdist\tpath")
for u, m := range dist {
for v, d := range m {
if u != v {
fmt.Printf("%d -> %d\t%3d\t%s\n", u, v, d, g.path(Path(u, v, next)))
}
}
}
}</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|Groovy}}==
{{trans|Java}}
<syntaxhighlight lang="groovy">class FloydWarshall {
static void main(String[] args) {
int[][] weights = [[1, 3, -2], [2, 1, 4], [2, 3, 3], [3, 4, 2], [4, 2, -1]]
int numVertices = 4
floydWarshall(weights, numVertices)
}
static void floydWarshall(int[][] weights, int numVertices) {
double[][] dist = new double[numVertices][numVertices]
for (double[] row : dist) {
Arrays.fill(row, Double.POSITIVE_INFINITY)
}
for (int[] w : weights) {
dist[w[0] - 1][w[1] - 1] = w[2]
}
int[][] next = new int[numVertices][numVertices]
for (int i = 0; i < next.length; i++) {
for (int j = 0; j < next.length; j++) {
if (i != j) {
next[i][j] = j + 1
}
}
}
for (int k = 0; k < numVertices; k++) {
for (int i = 0; i < numVertices; i++) {
for (int j = 0; j < numVertices; j++) {
if (dist[i][k] + dist[k][j] < dist[i][j]) {
dist[i][j] = dist[i][k] + dist[k][j]
next[i][j] = next[i][k]
}
}
}
}
printResult(dist, next)
}
static void printResult(double[][] dist, int[][] next) {
println("pair dist path")
for (int i = 0; i < next.length; i++) {
for (int j = 0; j < next.length; j++) {
if (i != j) {
int u = i + 1
int v = j + 1
String path = String.format("%d -> %d %2d %s", u, v, (int) dist[i][j], u)
boolean loop = true
while (loop) {
u = next[u - 1][v - 1]
path += " -> " + u
loop = u != v
}
println(path)
}
}
}
}
}</syntaxhighlight>
{{out}}
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|Haskell}}==
Necessary imports
<syntaxhighlight lang="haskell">import Control.Monad (join)
import Data.List (union)
import Data.Map hiding (foldr, union)
import Data.Maybe (fromJust, isJust)
import Data.Semigroup
import Prelude hiding (lookup, filter)</syntaxhighlight>
First we define a general datatype to represent the shortest path. Type <code>a</code> represents a distance. It could be a number, in case of weighted graph or boolean value for just a directed graph. Type <code>b</code> goes for vertice labels (integers, chars, strings...)
<syntaxhighlight lang="haskell">data Shortest b a = Shortest { distance :: a, path :: [b] }
deriving Show</syntaxhighlight>
Next we note that shortest paths form a semigroup with following "addition" rule:
<syntaxhighlight lang="haskell">instance (Ord a, Eq b) => Semigroup (Shortest b a) where
a <> b = case distance a `compare` distance b of
GT -> b
LT -> a
EQ -> a { path = path a `union` path b }</syntaxhighlight>
It finds minimal path by <code>distance</code>, and in case of equal distances joins both paths. We will lift this semigroup to monoid using <code>Maybe</code> wrapper.
Graph is represented as a <code>Map</code>, containing pairs of vertices and corresponding weigts. The distance table is a <code>Map</code>, containing pairs of joint vertices and corresponding shortest paths.
Now we are ready to define the main part of the Floyd-Warshall algorithm, which processes properly prepared distance table <code>dist</code> for given list of vertices <code>v</code>:
<syntaxhighlight lang="haskell">floydWarshall v dist = foldr innerCycle (Just <$> dist) v
where
innerCycle k dist = (newDist <$> v <*> v) `setTo` dist
where
newDist i j =
((i,j), do a <- join $ lookup (i, k) dist
b <- join $ lookup (k, j) dist
return $ Shortest (distance a <> distance b) (path a))
setTo = unionWith (<>) . fromList</syntaxhighlight>
The <code>floydWarshall</code> produces only first steps of shortest paths. Whole paths are build by following function:
<syntaxhighlight lang="haskell">buildPaths d = mapWithKey (\pair s -> s { path = buildPath pair}) d
where
buildPath (i,j)
| i == j = [[j]]
| otherwise = do k <- path $ fromJust $ lookup (i,j) d
p <- buildPath (k,j)
[i : p]</syntaxhighlight>
All pre- and postprocessing is done by the main function <code>findMinDistances</code>:
<syntaxhighlight lang="haskell">findMinDistances v g =
let weights = mapWithKey (\(_,j) w -> Shortest w [j]) g
trivial = fromList [ ((i,i), Shortest mempty []) | i <- v ]
clean d = fromJust <$> filter isJust (d \\ trivial)
in buildPaths $ clean $ floydWarshall v (weights <> trivial)</syntaxhighlight>
'''Examples''':
The sample graph:
<syntaxhighlight lang="haskell">g = fromList [((2,1), 4)
,((2,3), 3)
,((1,3), -2)
,((3,4), 2)
,((4,2), -1)]</syntaxhighlight>
the helper function
<syntaxhighlight lang="haskell">showShortestPaths v g = mapM_ print $ toList $ findMinDistances v g</syntaxhighlight>
{{Out}}
Weights as distances:
<pre>λ> showShortestPaths [1..4] (Sum <$> g)
((1,2),Shortest {distance = Sum {getSum = -1}, path = [[1,3,4,2]]})
((1,3),Shortest {distance = Sum {getSum = -2}, path = [[1,3]]})
((1,4),Shortest {distance = Sum {getSum = 0}, path = [[1,3,4]]})
((2,1),Shortest {distance = Sum {getSum = 4}, path = [[2,1]]})
((2,3),Shortest {distance = Sum {getSum = 2}, path = [[2,1,3]]})
((2,4),Shortest {distance = Sum {getSum = 4}, path = [[2,1,3,4]]})
((3,1),Shortest {distance = Sum {getSum = 5}, path = [[3,4,2,1]]})
((3,2),Shortest {distance = Sum {getSum = 1}, path = [[3,4,2]]})
((3,4),Shortest {distance = Sum {getSum = 2}, path = [[3,4]]})
((4,1),Shortest {distance = Sum {getSum = 3}, path = [[4,2,1]]})
((4,2),Shortest {distance = Sum {getSum = -1}, path = [[4,2]]})
((4,3),Shortest {distance = Sum {getSum = 1}, path = [[4,2,1,3]]})</pre>
Unweighted directed graph
<pre>λ> showShortestPaths [1..4] (Any . (/= 0) <$> g)
((1,2),Shortest {distance = Any {getAny = True}, path = [[1,3,4,2]]})
((1,3),Shortest {distance = Any {getAny = True}, path = [[1,3]]})
((1,4),Shortest {distance = Any {getAny = True}, path = [[1,3,4]]})
((2,1),Shortest {distance = Any {getAny = True}, path = [[2,1]]})
((2,3),Shortest {distance = Any {getAny = True}, path = [[2,1,3],[2,3]]})
((2,4),Shortest {distance = Any {getAny = True}, path = [[2,1,3,4],[2,3,4]]})
((3,1),Shortest {distance = Any {getAny = True}, path = [[3,4,2,1]]})
((3,2),Shortest {distance = Any {getAny = True}, path = [[3,4,2]]})
((3,4),Shortest {distance = Any {getAny = True}, path = [[3,4]]})
((4,1),Shortest {distance = Any {getAny = True}, path = [[4,2,1]]})
((4,2),Shortest {distance = Any {getAny = True}, path = [[4,2]]})
((4,3),Shortest {distance = Any {getAny = True}, path = [[4,2,1,3],[4,2,3]]})</pre>
For some pairs several possible paths are found.
Uniformly weighted graph:
<pre>λ> showShortestPaths [1..4] (const (Sum 1) <$> g)
((1,2),Shortest {distance = Sum {getSum = 3}, path = [[1,3,4,2]]})
((1,3),Shortest {distance = Sum {getSum = 1}, path = [[1,3]]})
((1,4),Shortest {distance = Sum {getSum = 2}, path = [[1,3,4]]})
((2,1),Shortest {distance = Sum {getSum = 1}, path = [[2,1]]})
((2,3),Shortest {distance = Sum {getSum = 1}, path = [[2,3]]})
((2,4),Shortest {distance = Sum {getSum = 2}, path = [[2,3,4]]})
((3,1),Shortest {distance = Sum {getSum = 3}, path = [[3,4,2,1]]})
((3,2),Shortest {distance = Sum {getSum = 2}, path = [[3,4,2]]})
((3,4),Shortest {distance = Sum {getSum = 1}, path = [[3,4]]})
((4,1),Shortest {distance = Sum {getSum = 2}, path = [[4,2,1]]})
((4,2),Shortest {distance = Sum {getSum = 1}, path = [[4,2]]})
((4,3),Shortest {distance = Sum {getSum = 2}, path = [[4,2,3]]})</pre>
Graph labeled by chars:
<syntaxhighlight lang="haskell">g2 = fromList [(('A','S'), 1)
,(('A','D'), -1)
,(('S','E'), 2)
,(('D','E'), 4)]</syntaxhighlight>
<pre>λ> showShortestPaths "ASDE" (Sum <$> g2)
(('A','D'),Shortest {distance = Sum {getSum = -1}, path = ["AD"]})
(('A','E'),Shortest {distance = Sum {getSum = 3}, path = ["ASE","ADE"]})
(('A','S'),Shortest {distance = Sum {getSum = 1}, path = ["AS"]})
(('D','E'),Shortest {distance = Sum {getSum = 4}, path = ["DE"]})
(('S','E'),Shortest {distance = Sum {getSum = 2}, path = ["SE"]})</pre>
=={{header|Icon}}==
{{trans|Scheme}}
{{works with|Icon|9.5.20i}}
<syntaxhighlight lang="icon">#
# Floyd-Warshall algorithm.
#
# See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
#
record fw_results (n, distance, next_vertex)
link array
link numbers
link printf
procedure main ()
local example_graph
local fw
local u, v
example_graph := [[1, -2.0, 3],
[3, +2.0, 4],
[4, -1.0, 2],
[2, +4.0, 1],
[2, +3.0, 3]]
fw := floyd_warshall (example_graph)
printf (" pair distance path\n")
printf ("-------------------------------------\n")
every u := 1 to fw.n do {
every v := 1 to fw.n do {
if u ~= v then {
printf (" %d -> %d %4s %s\n", u, v,
string (ref_array (fw.distance, u, v)),
path_to_string (find_path (fw.next_vertex, u, v)))
}
}
}
end
procedure floyd_warshall (edges)
local n, distance, next_vertex
local e
local i, j, k
local dist_ij, dist_ik, dist_kj, dist_ikj
n := max_vertex (edges)
distance := create_array ([1, 1], [n, n], &null)
next_vertex := create_array ([1, 1], [n, n], &null)
# Initialization.
every e := !edges do {
ref_array (distance, e[1], e[3]) := e[2]
ref_array (next_vertex, e[1], e[3]) := e[3]
}
every i := 1 to n do {
ref_array (distance, i, i) := 0.0 # Distance to self = 0.
ref_array (next_vertex, i, i) := i
}
# Perform the algorithm. Here &null will play the role of
# "infinity": "\" means a value is finite, "/" that it is infinite.
every k := 1 to n do {
every i := 1 to n do {
every j := 1 to n do {
dist_ij := ref_array (distance, i, j)
dist_ik := ref_array (distance, i, k)
dist_kj := ref_array (distance, k, j)
if \dist_ik & \dist_kj then {
dist_ikj := dist_ik + dist_kj
if /dist_ij | dist_ikj < dist_ij then {
ref_array (distance, i, j) := dist_ikj
ref_array (next_vertex, i, j) :=
ref_array (next_vertex, i, k)
}
}
}
}
}
return fw_results (n, distance, next_vertex)
end
procedure find_path (next_vertex, u, v)
local path
if / (ref_array (next_vertex, u, v)) then {
path := []
} else {
path := [u]
while u ~= v do {
u := ref_array (next_vertex, u, v)
put (path, u)
}
}
return path
end
procedure path_to_string (path)
local s
if *path = 0 then {
s := ""
} else {
s := string (path[1])
every s ||:= (" -> " || !path[2 : 0])
}
return s
end
procedure max_vertex (edges)
local e
local m
*edges = 0 & stop ("no edges")
m := 1
every e := !edges do m := max (m, e[1], e[3])
return m
end</syntaxhighlight>
{{out}}
<pre>$ icon floyd-warshall-in-Icon.icn
pair distance path
-------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|J}}==
<syntaxhighlight lang="j">floyd=: verb define
for_j. i.#y do.
y=. y <. j ({"1 +/ {) y
end.
)</syntaxhighlight>
Alternate implementation (same behavior):
<syntaxhighlight lang=J>floyd=: ]F..(]<.{"1+/{) i.@#</syntaxhighlight>
Example use:
<syntaxhighlight lang="j">graph=: ".;._2]0 :0
0 _ _2 _ NB. 1->3 costs _2
4 0 3 _ NB. 2->1 costs 4; 2->3 costs 3
_ _
)
floyd graph
0 _1 _2 0
4 0 2 4
5 1 0 2
3 _1 1 0</syntaxhighlight>
The graph matrix holds the costs of each directed node. Row index corresponds to starting node. Column index corresponds to ending node. Unconnected nodes have infinite cost.
This approach turns out to be faster than the more concise <./ .+~^:_ for many relatively small graphs (though <code>floyd</code> happens to be slightly slower for the task example).
'''Path Reconstruction'''
This draft task currently asks for path reconstruction, which is a different (related) algorithm:
<syntaxhighlight lang="j">floydrecon=: verb define
n=. ($y)$_(I._=,y)},($$i.@#)y
for_j. i.#y do.
d=. y <. j ({"1 +/ {) y
b=. y~:d
y=. d
n=. (n*-.b)+b * j{"1 n
end.
)
task=: verb define
dist=. floyd y
next=. floydrecon y
echo 'pair dist path'
for_i. i.#y do.
for_k. i.#y do.
ndx=. <i,k
if. (i~:k)*_>ndx{next do.
txt=. (":1+i),'->',(":1+k)
txt=. txt,_5{.":ndx{dist
txt=. txt,' ',":1+i
j=. i
while. j~:k do.
assert. j~:(<j,k){next
j=. (<j,k){next
txt=. txt,'->',":1+j
end.
echo txt
end.
end.
end.
i.0 0
)</syntaxhighlight>
Draft output:
<syntaxhighlight lang="j"> task graph
pair dist path
1->2 _1 1->3->4->2
1->3 _2 1->3
1->4 0 1->3->4
2->1 4 2->1
2->3 2 2->1->3
2->4 4 2->1->3->4
3->1 5 3->4->2->1
3->2 1 3->4->2
3->4 2 3->4
4->1 3 4->2->1
4->2 _1 4->2
4->3 1 4->2->1->3</syntaxhighlight>
=={{header|Java}}==
<syntaxhighlight lang="java">import static java.lang.String.format;
import java.util.Arrays;
public class FloydWarshall {
public static void main(String[] args) {
int[][] weights = {{1, 3, -2}, {2, 1, 4}, {2, 3, 3}, {3, 4, 2}, {4, 2, -1}};
int numVertices = 4;
floydWarshall(weights, numVertices);
}
static void floydWarshall(int[][] weights, int numVertices) {
double[][] dist = new double[numVertices][numVertices];
for (double[] row : dist)
Arrays.fill(row, Double.POSITIVE_INFINITY);
for (int[] w : weights)
dist[w[0] - 1][w[1] - 1] = w[2];
int[][] next = new int[numVertices][numVertices];
for (int i = 0; i < next.length; i++) {
for (int j = 0; j < next.length; j++)
if (i != j)
next[i][j] = j + 1;
}
for (int k = 0; k < numVertices; k++)
for (int i = 0; i < numVertices; i++)
for (int j = 0; j < numVertices; j++)
if (dist[i][k] + dist[k][j] < dist[i][j]) {
dist[i][j] = dist[i][k] + dist[k][j];
next[i][j] = next[i][k];
}
printResult(dist, next);
}
static void printResult(double[][] dist, int[][] next) {
System.out.println("pair dist path");
for (int i = 0; i < next.length; i++) {
for (int j = 0; j < next.length; j++) {
if (i != j) {
int u = i + 1;
int v = j + 1;
String path = format("%d -> %d %2d %s", u, v,
(int) dist[i][j], u);
do {
u = next[u - 1][v - 1];
path += " -> " + u;
} while (u != v);
System.out.println(path);
}
}
}
}
}</syntaxhighlight>
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|JavaScript}}==
Using output code translated from the Lua sample.
<syntaxhighlight lang="javascript">'use strict'
let numVertices = 4;
let weights = [ [ 1, 3, -2 ], [ 2, 1, 4 ], [ 2, 3, 3 ], [ 3, 4, 2 ], [ 4, 2, -1 ] ];
let graph = [];
for (let i = 0; i < numVertices; ++i) {
graph.push([]);
for (let j = 0; j <
graph[i].push(i == j ? 0 : 9999999);
}
for (let i =
let w = weights[i];
graph[w[0] - 1][w[1] - 1] = w[2];
}
let nxt = [];
nxt.push([]);
for (let j =
}
for (let k = 0; k < numVertices; ++k) {
for (let i = 0; i < numVertices; ++i) {
for (let j = 0; j < numVertices; ++j) {
if (graph[i][j] > graph[i][k] + graph[k][j]) {
graph[i][j] = graph[i][k] + graph[k][j];
nxt[i][j] = nxt[i][k];
}
}
}
}
console.log(
for (let i = 0; i < numVertices; ++i) {
for (let j = 0; j < numVertices; ++j) {
if (i != j) {
let u = i + 1;
let v = j + 1;
let path = u + " -> " + v + " " + graph[i][j].toString().padStart(2) + " " + u;
do {
u = nxt[u - 1][v - 1];
path = path + " -> " + u;
} while (u != v);
console.log(path)
}
}
}
</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|jq}}==
{{works with|jq|1.5}}
In this section, we represent the graph by a JSON object giving the weights: if u and v are the (string) labels of two nodes connected with an arrow from u to v, then .[u][v] is the associated weight:
<syntaxhighlight lang="jq">
def weights: {
"1": {"3": -2},
"2": {"1" : 4, "3": 3},
"3": {"4": 2},
"4": {"2": -1}
};</syntaxhighlight>
The algorithm given here is a direct implementation of the definitional algorithm:
<syntaxhighlight lang="jq">def fwi:
. as $weights
| keys_unsorted as $nodes
# construct the dist matrix
| reduce $nodes[] as $u ({};
reduce $nodes[] as $v (.;
.[$u][$v] = infinite))
| reduce $nodes[] as $u (.; .[$u][$u] = 0 )
| reduce $nodes[] as $u (.;
reduce ($weights[$u]|keys_unsorted[]) as $v (.;
.[$u][$v] = $weights[$u][$v] ))
| reduce $nodes[] as $w (.;
reduce $nodes[] as $u (.;
reduce $nodes[] as $v (.;
(.[$u][$w] + .[$w][$v]) as $x
| if .[$u][$v] > $x then .[$u][$v] = $x
else . end )))
;
weights | fwi</syntaxhighlight>
{{out}}
<pre>{
"1": {
"1": 0,
"2": -1,
"3": -2,
"4": 0
},
"2": {
"1": 4,
"2": 0,
"3": 2,
"4": 4
},
"3": {
"1": 5,
"2": 1,
"3": 0,
"4": 2
},
"4": {
"1": 3,
"2": -1,
"3": 1,
"4": 0
}
}</pre>
=={{header|Julia}}==
{{trans|Java}}
<syntaxhighlight lang="julia"># Floyd-Warshall algorithm: https://rosettacode.org/wiki/Floyd-Warshall_algorithm
# v0.6
function floydwarshall(weights::Matrix, nvert::Int)
dist = fill(Inf, nvert, nvert)
for i in 1:size(weights, 1)
dist[weights[i, 1], weights[i, 2]] = weights[i, 3]
end
# return dist
next = collect(j != i ? j : 0 for i in 1:nvert, j in 1:nvert)
for k in 1:nvert, i in 1:nvert, j in 1:nvert
if dist[i, k] + dist[k, j] < dist[i, j]
dist[i, j] = dist[i, k] + dist[k, j]
next[i, j] = next[i, k]
end
end
# return next
function printresult(dist, next)
println("pair dist path")
for i in 1:size(next, 1), j in 1:size(next, 2)
if i != j
u = i
path = @sprintf "%d -> %d %2d %s" i j dist[i, j] i
while true
u = next[u, j]
path *= " -> $u"
if u == j break end
end
println(path)
end
end
end
printresult(dist, next)
end
floydwarshall([1 3 -2; 2 1 4; 2 3 3; 3 4 2; 4 2 -1], 4)</syntaxhighlight>
=={{header|Kotlin}}==
{{trans|Java}}
<syntaxhighlight lang="scala">// version 1.1
object FloydWarshall {
fun doCalcs(weights: Array<IntArray>, nVertices: Int) {
val dist = Array(nVertices) { DoubleArray(nVertices) { Double.POSITIVE_INFINITY } }
for (w in weights) dist[w[0] - 1][w[1] - 1] = w[2].toDouble()
val next = Array(nVertices) { IntArray(nVertices) }
for (i in 0 until next.size) {
for (j in 0 until next.size) {
if (i != j) next[i][j] = j + 1
}
}
for (k in 0 until nVertices) {
for (i in 0 until nVertices) {
for (j in 0 until nVertices) {
if (dist[i][k] + dist[k][j] < dist[i][j]) {
dist[i][j] = dist[i][k] + dist[k][j]
next[i][j] = next[i][k]
}
}
}
}
printResult(dist, next)
}
private fun printResult(dist: Array<DoubleArray>, next: Array<IntArray>) {
var u: Int
var v: Int
var path: String
println("pair dist path")
for (i in 0 until next.size) {
for (j in 0 until next.size) {
if (i != j) {
u = i + 1
v = j + 1
path = ("%d -> %d %2d %s").format(u, v, dist[i][j].toInt(), u)
do {
u = next[u - 1][v - 1]
path += " -> " + u
} while (u != v)
println(path)
}
}
}
}
}
fun main(args: Array<String>) {
val weights = arrayOf(
intArrayOf(1, 3, -2),
intArrayOf(2, 1, 4),
intArrayOf(2, 3, 3),
intArrayOf(3, 4, 2),
intArrayOf(4, 2, -1)
)
val nVertices = 4
FloydWarshall.doCalcs(weights, nVertices)
}</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|Lua}}==
{{trans|D}}
<syntaxhighlight lang="lua">function printResult(dist, nxt)
print("pair dist path")
for i=0, #nxt do
for j=0, #nxt do
if i ~= j then
u = i + 1
v = j + 1
path = string.format("%d -> %d %2d %s", u, v, dist[i][j], u)
repeat
u = nxt[u-1][v-1]
path = path .. " -> " .. u
until (u == v)
print(path)
end
end
end
end
function floydWarshall(weights, numVertices)
dist = {}
for i=0, numVertices-1 do
dist[i] = {}
for j=0, numVertices-1 do
dist[i][j] = math.huge
end
end
for _,w in pairs(weights) do
-- the weights array is one based
dist[w[1]-1][w[2]-1] = w[3]
end
nxt = {}
for i=0, numVertices-1 do
nxt[i] = {}
for j=0, numVertices-1 do
if i ~= j then
nxt[i][j] = j+1
end
end
end
for k=0, numVertices-1 do
for i=0, numVertices-1 do
for j=0, numVertices-1 do
if dist[i][k] + dist[k][j] < dist[i][j] then
dist[i][j] = dist[i][k] + dist[k][j]
nxt[i][j] = nxt[i][k]
end
end
end
end
printResult(dist, nxt)
end
weights = {
{1, 3, -2},
{2, 1, 4},
{2, 3, 3},
{3, 4, 2},
{4, 2, -1}
}
numVertices = 4
floydWarshall(weights, numVertices)</syntaxhighlight>
{{out}}
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|Mathematica}} / {{header|Wolfram Language}}==
<syntaxhighlight lang="mathematica">g = Graph[{1 \[DirectedEdge] 3, 3 \[DirectedEdge] 4,
4 \[DirectedEdge] 2, 2 \[DirectedEdge] 1, 2 \[DirectedEdge] 3},
EdgeWeight -> {(1 \[DirectedEdge] 3) -> -2, (3 \[DirectedEdge] 4) ->
2, (4 \[DirectedEdge] 2) -> -1, (2 \[DirectedEdge] 1) ->
4, (2 \[DirectedEdge] 3) -> 3}]
vl = VertexList[g];
dm = GraphDistanceMatrix[g];
Grid[LexicographicSort[
DeleteCases[
Catenate[
Table[{vl[[i]], vl[[j]], dm[[i, j]]}, {i, Length[vl]}, {j,
Length[vl]}]], {x_, x_, _}]]]</syntaxhighlight>
{{out}}
<pre>1 2 -1.
1 3 -2.
1 4 0.
2 1 4.
2 3 2.
2 4 4.
3 1 5.
3 2 1.
3 4 2.
4 1 3.
4 2 -1.
4 3 1.</pre>
=={{header|Mercury}}==
{{trans|Scheme}}
{{works with|Mercury|20.06.1}}
<syntaxhighlight lang="mercury">:- module floyd_warshall_task.
:- interface.
:- import_module io.
:- pred main(io, io).
:- mode main(di, uo) is det.
:- implementation.
:- import_module float.
:- import_module int.
:- import_module list.
:- import_module string.
:- import_module version_array2d.
%%%-------------------------------------------------------------------
%% Square arrays with 1-based indexing.
:- func arr_init(int, T) = version_array2d(T).
arr_init(N, Fill) = version_array2d.init(N, N, Fill).
:- func arr_get(version_array2d(T), int, int) = T.
arr_get(Arr, I, J) = Elem :-
I1 = I - 1,
J1 = J - 1,
Elem = Arr^elem(I1, J1).
:- func arr_set(version_array2d(T), int, int, T) = version_array2d(T).
arr_set(Arr0, I, J, Elem) = Arr :-
I1 = I - 1,
J1 = J - 1,
Arr = (Arr0^elem(I1, J1) := Elem).
%%%-------------------------------------------------------------------
:- func find_max_vertex(list({int, float, int})) = int.
find_max_vertex(Edges) = find_max_vertex_(Edges, 0).
:- func find_max_vertex_(list({int, float, int}), int) = int.
find_max_vertex_([], MaxVertex0) = MaxVertex0.
find_max_vertex_([{U, _, V} | Tail], MaxVertex0) = MaxVertex :-
MaxVertex = find_max_vertex_(Tail, max(max(MaxVertex0, U), V)).
%%%-------------------------------------------------------------------
:- func arbitrary_float = float.
arbitrary_float = (12345.0).
:- func nil_vertex = int.
nil_vertex = 0.
:- func floyd_warshall(list({int, float, int})) =
{int, version_array2d(float), version_array2d(int)}.
floyd_warshall(Edges) = {N, Dist, Next} :-
N = find_max_vertex(Edges),
Dist0 = arr_init(N, arbitrary_float),
Next0 = arr_init(N, nil_vertex),
(if (N = 0) then (Dist = Dist0,
Next = Next0)
else ({Dist1, Next1} = floyd_warshall_initialize(Edges, N,
Dist0, Next0),
{Dist, Next} = floyd_warshall_loop_k(N, 1, Dist1, Next1))).
:- func floyd_warshall_initialize(list({int, float, int}),
int,
version_array2d(float),
version_array2d(int)) =
{version_array2d(float), version_array2d(int)}.
floyd_warshall_initialize(Edges, N, Dist0, Next0) = {Dist1, Next1} :-
floyd_warshall_read_edges(Edges, Dist0, Next0) = {D1, X1},
floyd_warshall_diagonals(N, 1, D1, X1) = {Dist1, Next1}.
:- func floyd_warshall_read_edges(list({int, float, int}),
version_array2d(float),
version_array2d(int)) =
{version_array2d(float), version_array2d(int)}.
floyd_warshall_read_edges([], Dist0, Next0) = {Dist0, Next0}.
floyd_warshall_read_edges([{U, Weight, V} | Tail],
Dist0, Next0) = {Dist1, Next1} :-
D1 = arr_set(Dist0, U, V, Weight),
X1 = arr_set(Next0, U, V, V),
floyd_warshall_read_edges(Tail, D1, X1) = {Dist1, Next1}.
:- func floyd_warshall_diagonals(int, int,
version_array2d(float),
version_array2d(int)) =
{version_array2d(float), version_array2d(int)}.
floyd_warshall_diagonals(N, I, Dist0, Next0) = {Dist1, Next1} :-
N1 = N + 1,
(if (I = N1) then (Dist1 = Dist0,
Next1 = Next0)
else (
%% The distance from a vertex to itself = 0.0.
D1 = arr_set(Dist0, I, I, 0.0),
X1 = arr_set(Next0, I, I, I),
I1 = I + 1,
floyd_warshall_diagonals(N, I1, D1, X1) = {Dist1, Next1})).
:- func floyd_warshall_loop_k(int, int,
version_array2d(float),
version_array2d(int)) =
{version_array2d(float), version_array2d(int)}.
floyd_warshall_loop_k(N, K, Dist0, Next0) = {Dist1, Next1} :-
N1 = N + 1,
(if (K = N1) then (Dist1 = Dist0,
Next1 = Next0)
else ({D1, X1} = floyd_warshall_loop_i(N, K, 1, Dist0, Next0),
K1 = K + 1,
{Dist1, Next1} = floyd_warshall_loop_k(N, K1, D1, X1))).
:- func floyd_warshall_loop_i(int, int, int,
version_array2d(float),
version_array2d(int)) =
{version_array2d(float), version_array2d(int)}.
floyd_warshall_loop_i(N, K, I, Dist0, Next0) = {Dist1, Next1} :-
N1 = N + 1,
(if (I = N1) then (Dist1 = Dist0,
Next1 = Next0)
else ({D1, X1} = floyd_warshall_loop_j(N, K, I, 1, Dist0, Next0),
I1 = I + 1,
{Dist1, Next1} = floyd_warshall_loop_i(N, K, I1, D1, X1))).
:- func floyd_warshall_loop_j(int, int, int, int,
version_array2d(float),
version_array2d(int)) =
{version_array2d(float), version_array2d(int)}.
floyd_warshall_loop_j(N, K, I, J, Dist0, Next0) = {Dist1, Next1} :-
J1 = J + 1,
N1 = N + 1,
(if (J = N1) then (Dist1 = Dist0,
Next1 = Next0)
else (if ((arr_get(Next0, I, K) = nil_vertex);
(arr_get(Next0, K, J) = nil_vertex))
then ({Dist1, Next1} =
floyd_warshall_loop_j(N, K, I, J1, Dist0, Next0))
else (Dist_ikj = arr_get(Dist0, I, K) + arr_get(Dist0, K, J),
(if (arr_get(Next0, I, J) = nil_vertex;
Dist_ikj < arr_get(Dist0, I, J))
then (D1 = arr_set(Dist0, I, J, Dist_ikj),
X1 = arr_set(Next0, I, J, arr_get(Next0, I, K)),
{Dist1, Next1} =
floyd_warshall_loop_j(N, K, I, J1, D1, X1))
else ({Dist1, Next1} =
floyd_warshall_loop_j(N, K, I, J1,
Dist0, Next0)))))).
%%%-------------------------------------------------------------------
:- func path_string(version_array2d(int), int, int) = string.
path_string(Next, U, V) = S :-
if (arr_get(Next, U, V) = nil_vertex) then S = ""
else S = path_string_(Next, U, V, int_to_string(U)).
:- func path_string_(version_array2d(int), int, int, string) = string.
path_string_(Next, U, V, S0) = S :-
(if (U = V) then (S = S0)
else (U1 = arr_get(Next, U, V),
S1 = append(append(S0, " -> "), int_to_string(U1)),
path_string_(Next, U1, V, S1) = S)).
%%%-------------------------------------------------------------------
main(!IO) :-
Example_graph = [{1, -2.0, 3},
{3, 2.0, 4},
{4, -1.0, 2},
{2, 4.0, 1},
{2, 3.0, 3}],
{N, Dist, Next} = floyd_warshall(Example_graph),
format(" pair distance path\n", [], !IO),
format("-------------------------------------\n", [], !IO),
main_loop_u(N, 1, Dist, Next, !IO).
:- pred main_loop_u(int, int,
version_array2d(float),
version_array2d(int),
io, io).
:- mode main_loop_u(in, in, in, in, di, uo) is det.
main_loop_u(N, U, Dist, Next, !IO) :-
N1 = N + 1,
(if (U = N1) then true
else (main_loop_v(N, U, 1, Dist, Next, !IO),
U1 = U + 1,
main_loop_u(N, U1, Dist, Next, !IO))).
:- pred main_loop_v(int, int, int,
version_array2d(float),
version_array2d(int),
io, io).
:- mode main_loop_v(in, in, in, in, in, di, uo) is det.
main_loop_v(N, U, V, Dist, Next, !IO) :-
V1 = V + 1,
N1 = N + 1,
(if (V = N1) then true
else if (U = V) then main_loop_v(N, U, V1, Dist, Next, !IO)
else (format(" %d -> %d %4.1f %s\n",
[i(U), i(V), f(arr_get(Dist, U, V)),
s(path_string(Next, U, V))],
!IO),
main_loop_v(N, U, V1, Dist, Next, !IO))).
%%%-------------------------------------------------------------------
%%% local variables:
%%% mode: mercury
%%% prolog-indent-width: 2
%%% end:</syntaxhighlight>
{{out}}
<pre>$ mmc floyd_warshall_task.m && ./floyd_warshall_task
pair distance path
-------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|Modula-2}}==
<syntaxhighlight lang="modula2">MODULE FloydWarshall;
FROM FormatString IMPORT FormatString;
FROM SpecialReals IMPORT Infinity;
FROM Terminal IMPORT ReadChar,WriteString,WriteLn;
CONST NUM_VERTICIES = 4;
TYPE
IntArray = ARRAY[0..NUM_VERTICIES-1],[0..NUM_VERTICIES-1] OF INTEGER;
RealArray = ARRAY[0..NUM_VERTICIES-1],[0..NUM_VERTICIES-1] OF REAL;
PROCEDURE FloydWarshall(weights : ARRAY OF ARRAY OF INTEGER);
VAR
dist : RealArray;
next : IntArray;
i,j,k : INTEGER;
BEGIN
FOR i:=0 TO NUM_VERTICIES-1 DO
FOR j:=0 TO NUM_VERTICIES-1 DO
dist[i,j] := Infinity;
END
END;
k := HIGH(weights);
FOR i:=0 TO k DO
dist[weights[i,0]-1,weights[i,1]-1] := FLOAT(weights[i,2]);
END;
FOR i:=0 TO NUM_VERTICIES-1 DO
FOR j:=0 TO NUM_VERTICIES-1 DO
IF i#j THEN
next[i,j] := j+1;
END
END
END;
FOR k:=0 TO NUM_VERTICIES-1 DO
FOR i:=0 TO NUM_VERTICIES-1 DO
FOR j:=0 TO NUM_VERTICIES-1 DO
IF dist[i,j] > dist[i,k] + dist[k,j] THEN
dist[i,j] := dist[i,k] + dist[k,j];
next[i,j] := next[i,k];
END
END
END
END;
PrintResult(dist, next);
END FloydWarshall;
PROCEDURE PrintResult(dist : RealArray; next : IntArray);
VAR
i,j,u,v : INTEGER;
buf : ARRAY[0..63] OF CHAR;
BEGIN
WriteString("pair dist path");
WriteLn;
FOR i:=0 TO NUM_VERTICIES-1 DO
FOR j:=0 TO NUM_VERTICIES-1 DO
IF i#j THEN
u := i + 1;
v := j + 1;
FormatString("%i -> %i %2i %i", buf, u, v, TRUNC(dist[i,j]), u);
WriteString(buf);
REPEAT
u := next[u-1,v-1];
FormatString(" -> %i", buf, u);
WriteString(buf);
UNTIL u=v;
WriteLn
END
END
END
END PrintResult;
TYPE WeightArray = ARRAY[0..4],[0..2] OF INTEGER;
VAR weights : WeightArray;
BEGIN
weights := WeightArray{
{1, 3, -2},
{2, 1, 4},
{2, 3, 3},
{3, 4, 2},
{4, 2, -1}
};
FloydWarshall(weights);
ReadChar
END FloydWarshall.</syntaxhighlight>
=={{header|Nim}}==
{{trans|D}}
<syntaxhighlight lang="nim">import sequtils, strformat
type
Weight = tuple[src, dest, value: int]
Weights = seq[Weight]
#---------------------------------------------------------------------------------------------------
proc printResult(dist: seq[seq[float]]; next: seq[seq[int]]) =
echo "pair dist path"
for i in 0..next.high:
for j in 0..next.high:
if i != j:
var u = i + 1
let v = j + 1
var path = fmt"{u} -> {v} {dist[i][j].toInt:2d} {u}"
while true:
u = next[u-1][v-1]
path &= fmt" -> {u}"
if u == v: break
echo path
#---------------------------------------------------------------------------------------------------
proc floydWarshall(weights: Weights; numVertices: Positive) =
var dist = repeat(repeat(Inf, numVertices), numVertices)
for w in weights:
dist[w.src - 1][w.dest - 1] = w.value.toFloat
var next = repeat(newSeq[int](numVertices), numVertices)
for i in 0..<numVertices:
for j in 0..<numVertices:
if i != j:
next[i][j] = j + 1
for k in 0..<numVertices:
for i in 0..<numVertices:
for j in 0..<numVertices:
if dist[i][j] > dist[i][k] + dist[k][j]:
dist[i][j] = dist[i][k] + dist[k][j]
next[i][j] = next[i][k]
printResult(dist, next)
#———————————————————————————————————————————————————————————————————————————————————————————————————
let weights: Weights = @[(1, 3, -2), (2, 1, 4), (2, 3, 3), (3, 4, 2), (4, 2, -1)]
let numVertices = 4
floydWarshall(weights, numVertices)</syntaxhighlight>
{{out}}
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|ObjectIcon}}==
{{trans|Icon}}
The only changes needed from [[#Icon|the classical Icon]] were in library linkage and code order. (The '''record''' definition had to come ''after'' the library linkages.)
Certainly there are better ways to write an Object Icon implementation (for example, using a class instead of '''record'''), but this helps show that most of the classical dialect is still there.
<syntaxhighlight lang="objecticon">#
# Floyd-Warshall algorithm.
#
# See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
#
import io
import ipl.array
import ipl.printf
record fw_results (n, distance, next_vertex)
procedure main ()
local example_graph
local fw
local u, v
example_graph := [[1, -2.0, 3],
[3, +2.0, 4],
[4, -1.0, 2],
[2, +4.0, 1],
[2, +3.0, 3]]
fw := floyd_warshall (example_graph)
printf (" pair distance path\n")
printf ("-------------------------------------\n")
every u := 1 to fw.n do {
every v := 1 to fw.n do {
if u ~= v then {
printf (" %d -> %d %4s %s\n", u, v,
string (ref_array (fw.distance, u, v)),
path_to_string (find_path (fw.next_vertex, u, v)))
}
}
}
end
procedure floyd_warshall (edges)
local n, distance, next_vertex
local e
local i, j, k
local dist_ij, dist_ik, dist_kj, dist_ikj
n := max_vertex (edges)
distance := create_array ([1, 1], [n, n], &null)
next_vertex := create_array ([1, 1], [n, n], &null)
# Initialization.
every e := !edges do {
ref_array (distance, e[1], e[3]) := e[2]
ref_array (next_vertex, e[1], e[3]) := e[3]
}
every i := 1 to n do {
ref_array (distance, i, i) := 0.0 # Distance to self = 0.
ref_array (next_vertex, i, i) := i
}
# Perform the algorithm. Here &null will play the role of
# "infinity": "\" means a value is finite, "/" that it is infinite.
every k := 1 to n do {
every i := 1 to n do {
every j := 1 to n do {
dist_ij := ref_array (distance, i, j)
dist_ik := ref_array (distance, i, k)
dist_kj := ref_array (distance, k, j)
if \dist_ik & \dist_kj then {
dist_ikj := dist_ik + dist_kj
if /dist_ij | dist_ikj < dist_ij then {
ref_array (distance, i, j) := dist_ikj
ref_array (next_vertex, i, j) :=
ref_array (next_vertex, i, k)
}
}
}
}
}
return fw_results (n, distance, next_vertex)
end
procedure find_path (next_vertex, u, v)
local path
if / (ref_array (next_vertex, u, v)) then {
path := []
} else {
path := [u]
while u ~= v do {
u := ref_array (next_vertex, u, v)
put (path, u)
}
}
return path
end
procedure path_to_string (path)
local s
if *path = 0 then {
s := ""
} else {
s := string (path[1])
every s ||:= (" -> " || !path[2 : 0])
}
return s
end
procedure max_vertex (edges)
local e
local m
*edges = 0 & stop ("no edges")
m := 1
every e := !edges do m := max (m, e[1], e[3])
return m
end</syntaxhighlight>
{{out}}
<pre>$ oiscript floyd-warshall-in-OI.icn
pair distance path
-------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|OCaml}}==
{{trans|ATS}}
This implementation was written by referring frequently to [[#ATS|the ATS]], but differs from it considerably. For example, it assumes IEEE floating point, whereas the ATS purposely avoided that assumption. However, the "square array" and "edge" types are very similar to the ATS equivalents.
<syntaxhighlight lang="ocaml">(*
Floyd-Warshall algorithm.
See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
*)
module Square_array =
(* Square arrays with 1-based indexing. *)
struct
type 'a t =
{
n : int;
r : 'a Array.t
}
let make n fill =
let r = Array.make (n * n) fill in
{ n = n; r = r }
let get arr (i, j) =
Array.get arr.r ((i - 1) + (arr.n * (j - 1)))
let set arr (i, j) x =
Array.set arr.r ((i - 1) + (arr.n * (j - 1))) x
end
module Vertex =
(* A vertex is a positive integer, or 0 for the nil object. *)
struct
type t = int
let nil = 0
let print_vertex u =
print_int u
let rec print_directed_list lst =
match lst with
| [] -> ()
| [u] -> print_vertex u
| u :: tail ->
begin
print_vertex u;
print_string " -> ";
print_directed_list tail
end
end
module Edge =
(* A graph edge. *)
struct
type t =
{
u : Vertex.t;
weight : Float.t;
v : Vertex.t
}
let make u weight v =
{ u = u; weight = weight; v = v }
end
module Paths =
(* The "next vertex" array and its operations. *)
struct
type t = Vertex.t Square_array.t
let make n =
Square_array.make n Vertex.nil
let get = Square_array.get
let set = Square_array.set
let path paths u v =
(* Path reconstruction. In the finest tradition of the standard
List module, this implementation is *not* tail recursive. *)
if Square_array.get paths (u, v) = Vertex.nil then
[]
else
let rec build_path paths u v =
if u = v then
[v]
else
let i = Square_array.get paths (u, v) in
u :: build_path paths i v
in
build_path paths u v
let print_path paths u v =
Vertex.print_directed_list (path paths u v)
end
module Distances =
(* The "distance" array and its operations. *)
struct
type t = Float.t Square_array.t
let make n =
Square_array.make n Float.infinity
let get = Square_array.get
let set = Square_array.set
end
let find_max_vertex edges =
(* This implementation is *not* tail recursive. *)
let rec find_max =
function
| [] -> Vertex.nil
| edge :: tail -> max (max Edge.(edge.u) Edge.(edge.v))
(find_max tail)
in
find_max edges
let floyd_warshall edges =
(* This implementation assumes IEEE floating point. The OCaml Float
module explicitly specifies 64-bit IEEE floating point. *)
let _ = assert (edges <> []) in
let n = find_max_vertex edges in
let dist = Distances.make n in
let next = Paths.make n in
let rec read_edges =
function
| [] -> ()
| edge :: tail ->
let u = Edge.(edge.u) in
let v = Edge.(edge.v) in
let weight = Edge.(edge.weight) in
begin
Distances.set dist (u, v) weight;
Paths.set next (u, v) v;
read_edges tail
end
in
begin
(* Initialization. *)
read_edges edges;
for i = 1 to n do
(* Distance from a vertex to itself = 0.0 *)
Distances.set dist (i, i) 0.0;
Paths.set next (i, i) i
done;
(* Perform the algorithm. *)
for k = 1 to n do
for i = 1 to n do
for j = 1 to n do
let dist_ij = Distances.get dist (i, j) in
let dist_ik = Distances.get dist (i, k) in
let dist_kj = Distances.get dist (k, j) in
let dist_ikj = dist_ik +. dist_kj in
if dist_ikj < dist_ij then
begin
Distances.set dist (i, j) dist_ikj;
Paths.set next (i, j) (Paths.get next (i, k))
end
done
done
done;
(* Return the results, as a 3-tuple. *)
(n, dist, next)
end
let example_graph =
[Edge.make 1 (-2.0) 3;
Edge.make 3 (+2.0) 4;
Edge.make 4 (-1.0) 2;
Edge.make 2 (+4.0) 1;
Edge.make 2 (+3.0) 3]
;;
let (n, dist, next) =
floyd_warshall example_graph
;;
print_string " pair distance path";
print_newline ();
print_string "---------------------------------------";
print_newline ();
for u = 1 to n do
for v = 1 to n do
if u <> v then
begin
print_string " ";
Vertex.print_directed_list [u; v];
print_string " ";
Printf.printf "%4.1f" (Distances.get dist (u, v));
print_string " ";
Paths.print_path next u v;
print_newline ()
end
done
done
;;</syntaxhighlight>
{{out}}
<pre>$ ocamlopt floyd_warshall_task.ml && ./a.out
pair distance path
---------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|Perl}}==
<syntaxhighlight lang="perl">sub FloydWarshall{
my $edges = shift;
my (@dist, @seq);
my $num_vert = 0;
# insert given dists into dist matrix
map {
$dist[$_->[0] - 1][$_->[1] - 1] = $_->[2];
$num_vert = $_->[0] if $num_vert < $_->[0];
$num_vert = $_->[1] if $num_vert < $_->[1];
} @$edges;
my @vertices = 0..($num_vert - 1);
# init sequence/"next" table
for my $i(@vertices){
for my $j(@vertices){
$seq[$i][$j] = $j if $i != $j;
}
}
# diagonal of dists matrix
#map {$dist[$_][$_] = 0} @vertices;
for my $k(@vertices){
for my $i(@vertices){
next unless defined $dist[$i][$k];
for my $j(@vertices){
next unless defined $dist[$k][$j];
if($i != $j && (!defined($dist[$i][$j])
|| $dist[$i][$j] > $dist[$i][$k] + $dist[$k][$j])){
$dist[$i][$j] = $dist[$i][$k] + $dist[$k][$j];
$seq[$i][$j] = $seq[$i][$k];
}
}
}
}
# print table
print "pair dist path\n";
for my $i(@vertices){
for my $j(@vertices){
next if $i == $j;
my @path = ($i + 1);
while($seq[$path[-1] - 1][$j] != $j){
push @path, $seq[$path[-1] - 1][$j] + 1;
}
push @path, $j + 1;
printf "%d -> %d %4d %s\n",
$path[0], $path[-1], $dist[$i][$j], join(' -> ', @path);
}
}
}
my $graph = [[1, 3, -2], [2, 1, 4], [2, 3, 3], [3, 4, 2], [4, 2, -1]];
FloydWarshall($graph);</syntaxhighlight>
{{out}}
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|Phix}}==
Direct translation of the wikipedia pseudocode
<!--<syntaxhighlight lang="phix">(phixonline)-->
<span style="color: #008080;">constant</span> <span style="color: #000000;">inf</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">1e300</span><span style="color: #0000FF;">*</span><span style="color: #000000;">1e300</span>
<span style="color: #008080;">function</span> <span style="color: #000000;">Path</span><span style="color: #0000FF;">(</span><span style="color: #004080;">integer</span> <span style="color: #000000;">u</span><span style="color: #0000FF;">,</span> <span style="color: #004080;">integer</span> <span style="color: #000000;">v</span><span style="color: #0000FF;">,</span> <span style="color: #004080;">sequence</span> <span style="color: #000000;">next</span><span style="color: #0000FF;">)</span>
<span style="color: #008080;">if</span> <span style="color: #000000;">next</span><span style="color: #0000FF;">[</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">]=</span><span style="color: #004600;">null</span> <span style="color: #008080;">then</span>
<span style="color: #008080;">return</span> <span style="color: #008000;">""</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">if</span>
<span style="color: #004080;">sequence</span> <span style="color: #000000;">path</span> <span style="color: #0000FF;">=</span> <span style="color: #0000FF;">{</span><span style="color: #7060A8;">sprintf</span><span style="color: #0000FF;">(</span><span style="color: #008000;">"%d"</span><span style="color: #0000FF;">,</span><span style="color: #000000;">u</span><span style="color: #0000FF;">)}</span>
<span style="color: #008080;">while</span> <span style="color: #000000;">u</span><span style="color: #0000FF;">!=</span><span style="color: #000000;">v</span> <span style="color: #008080;">do</span>
<span style="color: #000000;">u</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">next</span><span style="color: #0000FF;">[</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">]</span>
<span style="color: #000000;">path</span> <span style="color: #0000FF;">=</span> <span style="color: #7060A8;">append</span><span style="color: #0000FF;">(</span><span style="color: #000000;">path</span><span style="color: #0000FF;">,</span><span style="color: #7060A8;">sprintf</span><span style="color: #0000FF;">(</span><span style="color: #008000;">"%d"</span><span style="color: #0000FF;">,</span><span style="color: #000000;">u</span><span style="color: #0000FF;">))</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">while</span>
<span style="color: #008080;">return</span> <span style="color: #7060A8;">join</span><span style="color: #0000FF;">(</span><span style="color: #000000;">path</span><span style="color: #0000FF;">,</span><span style="color: #008000;">"->"</span><span style="color: #0000FF;">)</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">function</span>
<span style="color: #008080;">procedure</span> <span style="color: #000000;">FloydWarshall</span><span style="color: #0000FF;">(</span><span style="color: #004080;">integer</span> <span style="color: #000000;">V</span><span style="color: #0000FF;">,</span> <span style="color: #004080;">sequence</span> <span style="color: #000000;">weights</span><span style="color: #0000FF;">)</span>
<span style="color: #004080;">sequence</span> <span style="color: #000000;">dist</span> <span style="color: #0000FF;">=</span> <span style="color: #7060A8;">repeat</span><span style="color: #0000FF;">(</span><span style="color: #7060A8;">repeat</span><span style="color: #0000FF;">(</span><span style="color: #000000;">inf</span><span style="color: #0000FF;">,</span><span style="color: #000000;">V</span><span style="color: #0000FF;">),</span><span style="color: #000000;">V</span><span style="color: #0000FF;">)</span>
<span style="color: #004080;">sequence</span> <span style="color: #000000;">next</span> <span style="color: #0000FF;">=</span> <span style="color: #7060A8;">repeat</span><span style="color: #0000FF;">(</span><span style="color: #7060A8;">repeat</span><span style="color: #0000FF;">(</span><span style="color: #004600;">null</span><span style="color: #0000FF;">,</span><span style="color: #000000;">V</span><span style="color: #0000FF;">),</span><span style="color: #000000;">V</span><span style="color: #0000FF;">)</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">k</span><span style="color: #0000FF;">=</span><span style="color: #000000;">1</span> <span style="color: #008080;">to</span> <span style="color: #7060A8;">length</span><span style="color: #0000FF;">(</span><span style="color: #000000;">weights</span><span style="color: #0000FF;">)</span> <span style="color: #008080;">do</span>
<span style="color: #004080;">integer</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">,</span><span style="color: #000000;">w</span><span style="color: #0000FF;">}</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">weights</span><span style="color: #0000FF;">[</span><span style="color: #000000;">k</span><span style="color: #0000FF;">]</span>
<span style="color: #000000;">dist</span><span style="color: #0000FF;">[</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">:=</span> <span style="color: #000000;">w</span> <span style="color: #000080;font-style:italic;">-- the weight of the edge (u,v)</span>
<span style="color: #000000;">next</span><span style="color: #0000FF;">[</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">:=</span> <span style="color: #000000;">v</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #000080;font-style:italic;">-- standard Floyd-Warshall implementation</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">k</span><span style="color: #0000FF;">=</span><span style="color: #000000;">1</span> <span style="color: #008080;">to</span> <span style="color: #000000;">V</span> <span style="color: #008080;">do</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">i</span><span style="color: #0000FF;">=</span><span style="color: #000000;">1</span> <span style="color: #008080;">to</span> <span style="color: #000000;">V</span> <span style="color: #008080;">do</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">j</span><span style="color: #0000FF;">=</span><span style="color: #000000;">1</span> <span style="color: #008080;">to</span> <span style="color: #000000;">V</span> <span style="color: #008080;">do</span>
<span style="color: #004080;">atom</span> <span style="color: #000000;">d</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">dist</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">,</span><span style="color: #000000;">k</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">+</span> <span style="color: #000000;">dist</span><span style="color: #0000FF;">[</span><span style="color: #000000;">k</span><span style="color: #0000FF;">,</span><span style="color: #000000;">j</span><span style="color: #0000FF;">]</span>
<span style="color: #008080;">if</span> <span style="color: #000000;">dist</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">,</span><span style="color: #000000;">j</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">></span> <span style="color: #000000;">d</span> <span style="color: #008080;">then</span>
<span style="color: #000000;">dist</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">,</span><span style="color: #000000;">j</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">:=</span> <span style="color: #000000;">d</span>
<span style="color: #000000;">next</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">,</span><span style="color: #000000;">j</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">:=</span> <span style="color: #000000;">next</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">,</span><span style="color: #000000;">k</span><span style="color: #0000FF;">]</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">if</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #7060A8;">printf</span><span style="color: #0000FF;">(</span><span style="color: #000000;">1</span><span style="color: #0000FF;">,</span><span style="color: #008000;">"pair dist path\n"</span><span style="color: #0000FF;">)</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">u</span><span style="color: #0000FF;">=</span><span style="color: #000000;">1</span> <span style="color: #008080;">to</span> <span style="color: #000000;">V</span> <span style="color: #008080;">do</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">v</span><span style="color: #0000FF;">=</span><span style="color: #000000;">1</span> <span style="color: #008080;">to</span> <span style="color: #000000;">V</span> <span style="color: #008080;">do</span>
<span style="color: #008080;">if</span> <span style="color: #000000;">u</span><span style="color: #0000FF;">!=</span><span style="color: #000000;">v</span> <span style="color: #008080;">then</span>
<span style="color: #7060A8;">printf</span><span style="color: #0000FF;">(</span><span style="color: #000000;">1</span><span style="color: #0000FF;">,</span><span style="color: #008000;">"%d->%d %2d %s\n"</span><span style="color: #0000FF;">,{</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">,</span><span style="color: #000000;">dist</span><span style="color: #0000FF;">[</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">],</span><span style="color: #000000;">Path</span><span style="color: #0000FF;">(</span><span style="color: #000000;">u</span><span style="color: #0000FF;">,</span><span style="color: #000000;">v</span><span style="color: #0000FF;">,</span><span style="color: #000000;">next</span><span style="color: #0000FF;">)})</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">if</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">procedure</span>
<span style="color: #008080;">constant</span> <span style="color: #000000;">V</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">4</span>
<span style="color: #008080;">constant</span> <span style="color: #000000;">weights</span> <span style="color: #0000FF;">=</span> <span style="color: #0000FF;">{{</span><span style="color: #000000;">1</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">3</span><span style="color: #0000FF;">,</span> <span style="color: #0000FF;">-</span><span style="color: #000000;">2</span><span style="color: #0000FF;">},</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">2</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">1</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">4</span><span style="color: #0000FF;">},</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">2</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">3</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">3</span><span style="color: #0000FF;">},</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">3</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">4</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">2</span><span style="color: #0000FF;">},</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">4</span><span style="color: #0000FF;">,</span> <span style="color: #000000;">2</span><span style="color: #0000FF;">,</span> <span style="color: #0000FF;">-</span><span style="color: #000000;">1</span><span style="color: #0000FF;">}}</span>
<span style="color: #000000;">FloydWarshall</span><span style="color: #0000FF;">(</span><span style="color: #000000;">V</span><span style="color: #0000FF;">,</span><span style="color: #000000;">weights</span><span style="color: #0000FF;">)</span>
<!--</syntaxhighlight>-->
{{out}}
<pre>
pair dist path
1->2 -1 1->3->4->2
1->3 -2 1->3
1->4 0 1->3->4
2->1 4 2->1
2->3 2 2->1->3
2->4 4 2->1->3->4
3->1 5 3->4->2->1
3->2 1 3->4->2
3->4 2 3->4
4->1 3 4->2->1
4->2 -1 4->2
4->3 1 4->2->1->3
</pre>
=={{header|PHP}}==
<
$graph = array();
for ($i = 0; $i < 10; ++$i) {
Line 163 ⟶ 4,457:
print_r($graph);
?></
=={{header|Prolog}}==
Works with SWI-Prolog as of Jan 2019
<syntaxhighlight lang="prolog">:- use_module(library(clpfd)).
path(List, To, From, [From], W) :-
select([To,From,W],List,_).
path(List, To, From, [Link|R], W) :-
select([To,Link,W1],List,Rest),
W #= W1 + W2,
path(Rest, Link, From, R, W2).
find_path(Din, From, To, [From|Pout], Wout) :-
between(1, 4, From),
between(1, 4, To),
dif(From, To),
findall([W,P], (
path(Din, From, To, P, W),
all_distinct(P)
), Paths),
sort(Paths, [[Wout,Pout]|_]).
print_all_paths :-
D = [[1, 3, -2], [2, 3, 3], [2, 1, 4], [3, 4, 2], [4, 2, -1]],
format('Pair\t Dist\tPath~n'),
forall(
find_path(D, From, To, Path, Weight),(
atomic_list_concat(Path, ' -> ', PPath),
format('~p -> ~p\t ~p\t~w~n', [From, To, Weight, PPath]))).</syntaxhighlight>
{{output}}
<pre>?- print_all_paths.
Pair Dist Path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
true.
?- </pre>
=={{header|Python}}==
{{trans|Ruby}}
<syntaxhighlight lang="python">from math import inf
from itertools import product
def floyd_warshall(n, edge):
rn = range(n)
dist = [[inf] * n for i in rn]
nxt = [[0] * n for i in rn]
for i in rn:
dist[i][i] = 0
for u, v, w in edge:
dist[u-1][v-1] = w
nxt[u-1][v-1] = v-1
for k, i, j in product(rn, repeat=3):
sum_ik_kj = dist[i][k] + dist[k][j]
if dist[i][j] > sum_ik_kj:
dist[i][j] = sum_ik_kj
nxt[i][j] = nxt[i][k]
print("pair dist path")
for i, j in product(rn, repeat=2):
if i != j:
path = [i]
while path[-1] != j:
path.append(nxt[path[-1]][j])
print("%d → %d %4d %s"
% (i + 1, j + 1, dist[i][j],
' → '.join(str(p + 1) for p in path)))
if __name__ == '__main__':
floyd_warshall(4, [[1, 3, -2], [2, 1, 4], [2, 3, 3], [3, 4, 2], [4, 2, -1]])</syntaxhighlight>
{{output}}
<pre>pair dist path
1 → 2 -1 1 → 3 → 4 → 2
1 → 3 -2 1 → 3
1 → 4 0 1 → 3 → 4
2 → 1 4 2 → 1
2 → 3 2 2 → 1 → 3
2 → 4 4 2 → 1 → 3 → 4
3 → 1 5 3 → 4 → 2 → 1
3 → 2 1 3 → 4 → 2
3 → 4 2 3 → 4
4 → 1 3 4 → 2 → 1
4 → 2 -1 4 → 2
4 → 3 1 4 → 2 → 1 → 3</pre>
=={{header|Racket}}==
{{trans|EchoLisp}}
<
(require math/array)
Line 242 ⟶ 4,631:
(mdist dist+ 1 3)
(path next+ 7 6)
(path next+ 6 7))</
{{out}}
Line 282 ⟶ 4,671:
'(6 7)</pre>
=={{header|
(formerly Perl 6)
{{works with|Rakudo|2016.12}}
{{trans|Ruby}}
<syntaxhighlight lang="raku" line>sub Floyd-Warshall (Int $n, @edge) {
my @dist = [0, |(Inf xx $n-1)], *.Array.rotate(-1) … !*[*-1];
my @next = [0 xx $n] xx $n;
for @edge -> ($u, $v, $w) {
@dist[$u-1;$v-1] = $w;
@next[$u-1;$v-1] = $v-1;
}
for [X] ^$n xx 3 -> ($k, $i, $j) {
if @dist[$i;$j] > my $sum = @dist[$i;$k] + @dist[$k;$j] {
}
}
say ' Pair Distance Path';
for [X] ^$n xx 2 -> ($i, $j){
next if $i == $j;
my @path = $i;
@path.push: @next[@path[*-1];$j] until @path[*-1] == $j;
printf("%d → %d %4d %s\n", $i+1, $j+1, @dist[$i;$j],
@path.map( *+1 ).join(' → '));
}
}
Floyd-Warshall(4, [[1, 3, -2], [2, 1, 4], [2, 3, 3], [3, 4, 2], [4, 2, -1]]);</syntaxhighlight>
{{out}}
<pre> Pair Distance Path
1 → 2 -1 1 → 3 → 4 → 2
1 → 3 -2 1 → 3
1 → 4 0 1 → 3 → 4
2 → 1 4 2 → 1
2 → 3 2 2 → 1 → 3
2 → 4 4 2 → 1 → 3 → 4
3 → 1 5 3 → 4 → 2 → 1
3 → 2 1 3 → 4 → 2
3 → 4 2 3 → 4
4 → 1 3 4 → 2 → 1
4 → 2 -1 4 → 2
4 → 3 1 4 → 2 → 1 → 3
</pre>
=={{header|RATFOR}}==
{{trans|Fortran}}
{{works with|ratfor77|[https://sourceforge.net/p/chemoelectric/ratfor77/ public domain 1.0]}}
{{works with|gfortran|11.3.0}}
{{works with|f2c|20100827}}
<syntaxhighlight lang="ratfor">#
# Floyd-Warshall algorithm.
#
# See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
#
#
# A C programmer might take note that the most rapid stride in an
# array is on the *leftmost* index, rather than the *rightmost* as in
# C.
#
# (In other words, Fortran has "column-major order", whereas C has
# "row-major order". I prefer to think of it in terms of strides. For
# one thing, in my opinion, which index is for a "column" and which
# for a "row" should be considered arbitrary unless dictated by
# context.)
#
# VLIMIT = the maximum number of vertices the program can handle.
define(VLIMIT, 100)
# NILVTX = the nil vertex.
define(NILVTX, 0)
# STRSZ = a buffer size used in some character-handling routines.
define(STRSZ, 300)
# BUFSZ = a buffer size used in some character-handling routines.
define(BUFSZ, 20)
function maxvtx (numedg, edges)
# Find the maximum vertex number.
implicit none
integer numedg
real edges(1:3, 1:numedg) # Notice Fortran's column-major order!
integer maxvtx
integer n, i
n = 1
for (i = 1; i <= numedg; i = i + 1)
{
n = max (n, int (edges(1, i)))
n = max (n, int (edges(3, i)))
}
maxvtx = n
end
subroutine floyd (numedg, edges, n, dist, nxtvtx)
# Floyd-Warshall.
implicit none
integer numedg
real edges(1:3, 1:numedg) # Notice Fortran's column-major order!
integer n
real dist(1:VLIMIT, 1:VLIMIT)
integer nxtvtx(1:VLIMIT, 1:VLIMIT)
#
# This implementation does NOT initialize elements of "dist" that
# would be set "infinite" in the original Fortran 90. Such elements
# are left uninitialized. Instead you should use the "nxtvtx" array
# to determine whether there exists a finite path from one vertex to
# another.
#
# See also the Icon and Object Icon implementations that use "&null"
# as a stand-in for "infinity". This implementation is similar to
# those. In this Ratfor, the nil entry in "nxtvtx" is used instead
# of one in "dist".
#
integer i, j, k
integer u, v
real dstikj
# Initialization.
for (i = 1; i <= n; i = i + 1)
for (j = 1; j <= n; j = j + 1)
nxtvtx(i, j) = NILVTX
for (i = 1; i <= numedg; i = i + 1)
{
u = int (edges(1, i))
v = int (edges(3, i))
dist(u, v) = edges(2, i)
nxtvtx(u, v) = v
}
for (i = 1; i <= n; i = i + 1)
{
dist(i, i) = 0.0 # Distance from a vertex to itself.
nxtvtx(i, i) = i
}
# Perform the algorithm.
for (k = 1; k <= n; k = k + 1)
for (i = 1; i <= n; i = i + 1)
for (j = 1; j <= n; j = j + 1)
if (nxtvtx(i, k) != NILVTX && nxtvtx(k, j) != NILVTX)
{
dstikj = dist(i, k) + dist(k, j)
if (nxtvtx(i, j) == NILVTX)
{
dist(i, j) = dstikj
nxtvtx(i, j) = nxtvtx(i, k)
}
else if (dstikj < dist(i, j))
{
dist(i, j) = dstikj
nxtvtx(i, j) = nxtvtx(i, k)
}
}
end
subroutine cpy (chr, str, j)
# A helper subroutine for pthstr.
implicit none
character*BUFSZ chr
character str*STRSZ
integer j
integer i
i = 1
while (chr(i:i) == ' ')
{
if (i == BUFSZ)
{
write (*, *) "character* boundary exceeded in cpy"
stop
}
i = i + 1
}
while (i <= BUFSZ)
{
if (STRSZ < j)
{
write (*, *) "character* boundary exceeded in cpy"
stop
}
str(j:j) = chr(i:i)
j = j + 1
i = i + 1
}
end
subroutine pthstr (nxtvtx, u, v, str, k)
# Construct a string for a path from u to v. Start at str(k).
implicit none
integer nxtvtx(1:VLIMIT, 1:VLIMIT)
integer u, v
character str*STRSZ
integer k
integer i, j
character*BUFSZ chr
character*25 fmt10
character*25 fmt20
write (fmt10, '(''(I'', I15, '')'')') BUFSZ - 1
write (fmt20, '(''(A'', I15, '')'')') BUFSZ
if (nxtvtx(u, v) != NILVTX)
{
j = k
i = u
chr = ' '
write (chr, fmt10) i
call cpy (chr, str, j)
while (i != v)
{
write (chr, fmt20) "-> "
call cpy (chr, str, j)
i = nxtvtx(i, v)
write (chr, fmt10) i
call cpy (chr, str, j)
}
}
end
function trimr (str)
# Find the length of a character*, if one ignores trailing spaces.
implicit none
character str*STRSZ
integer trimr
logical done
trimr = STRSZ
done = .false.
while (!done)
{
if (trimr == 0)
done = .true.
else if (str(trimr:trimr) != ' ')
done = .true.
else
trimr = trimr - 1
}
end
program demo
implicit none
integer maxvtx
integer trimr
integer exmpsz
real exampl(1:3, 1:5)
integer n
real dist(1:VLIMIT, 1:VLIMIT)
integer nxtvtx(1:VLIMIT, 1:VLIMIT)
character str*STRSZ
integer u, v
integer j
exmpsz = 5
data exampl / 1, -2.0, 3, _
3, +2.0, 4, _
4, -1.0, 2, _
2, +4.0, 1, _
2, +3.0, 3 /
n = maxvtx (exmpsz, exampl)
call floyd (exmpsz, exampl, n, dist, nxtvtx)
1000 format (I2, ' ->', I2, 5X, F4.1, 6X)
write (*, '('' pair distance path'')')
write (*, '(''---------------------------------------'')')
for (u = 1; u <= n; u = u + 1)
for (v = 1; v <= n; v = v + 1)
if (u != v)
{
str = ' '
write (str, 1000) u, v, dist(u, v)
call pthstr (nxtvtx, u, v, str, 23)
write (* , '(1000A1)') (str(j:j), j = 1, trimr (str))
}
end</syntaxhighlight>
{{out}}
I get slightly different output, depending on whether I use gfortran or f2c to compile the generated FORTRAN code. The two outputs differ in how 0.0 is printed.
First gfortran:
<pre>$ ratfor77 -6x floyd_warshall_task.r > floyd_warshall_task.f && gfortran -std=legacy floyd_warshall_task.f && ./a.out
pair distance path
---------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
Now f2c:
<pre>$ ratfor77 -6x floyd_warshall_task.r > floyd_warshall_task.f && f2c floyd_warshall_task.f && cc floyd_warshall_task.c -lf2c && ./a.out
floyd_warshall_task.f:
maxvtx:
floyd:
cpy:
pthstr:
trimr:
MAIN demo:
pair distance path
---------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 .0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|REXX}}==
<syntaxhighlight lang="rexx">/*REXX program uses Floyd─Warshall algorithm to find shortest distance between vertices.*/
v= 4 /*███ {1} ███*/ /*number of vertices in weighted graph.*/
@.= 99999999 /*███ 4 / \ -2 ███*/ /*the default distance (edge weight). */
@.1.3= -2 /*███ / 3 \ ███*/ /*the distance (weight) for an edge. */
@.2.1= 4 /*███ {2} ────► {3} ███*/ /* " " " " " " */
@.2.3= 3 /*███ \ / ███*/ /* " " " " " " */
@.3.4= 2 /*███ -1 \ / 2 ███*/ /* " " " " " " */
@.4.2= -1 /*███ {4} ███*/ /* " " " " " " */
do k=1 for v
do i=1 for v
do j=1 for v; _= @.i.k + @.k.j /*add two nodes together. */
if @.i.j>_ then @.i.j= _ /*use a new distance (weight) for edge.*/
end /*j*/
end /*i*/
end /*k*/
w= 12; $= left('', 20) /*width of the columns for the output. */
say $ center('vertices',w) center('distance', w) /*display the 1st line of the title. */
say $ center('pair' ,w) center('(weight)', w) /* " " 2nd " " " " */
say $ copies('═' ,w) copies('═' , w) /* " " 3rd " " " " */
/* [↓] display edge distances (weight)*/
do f=1 for v /*process each of the "from" vertices. */
do t=1 for v; if f==t then iterate /* " " " " "to" " */
say $ center(f '───►' t, w) right(@.f.t, w % 2)
end /*t*/ /* [↑] the distance between 2 vertices*/
end /*f*/ /*stick a fork in it, we're all done. */</syntaxhighlight>
{{out|output|text= when using the default inputs:}}
<pre>
vertices distance
pair (weight)
════════════ ════════════
1 ───► 2 -1
1 ───► 3 -2
1 ───► 4 0
2 ───► 1 4
2 ───► 3 2
2 ───► 4 4
3 ───► 1 5
3 ───► 2 1
3 ───► 4 2
4 ───► 1 3
4 ───► 2 -1
4 ───► 3 1
</pre>
=={{header|Ruby}}==
<syntaxhighlight lang="ruby">def floyd_warshall(n, edge)
dist = Array.new(n){|i| Array.new(n){|j| i==j ? 0 : Float::INFINITY}}
nxt = Array.new(n){Array.new(n)}
edge.each do |u,v,w|
dist[u-1][v-1] = w
nxt[u-1][v-1] = v-1
end
n.times do |k|
n.times do |i|
n.times do |j|
if dist[i][j] > dist[i][k] + dist[k][j]
dist[i][j] = dist[i][k] + dist[k][j]
nxt[i][j] = nxt[i][k]
end
end
end
end
puts "pair dist path"
n.times do |i|
n.times do |j|
next if i==j
u = i
path = [u]
path << (u = nxt[u][j]) while u != j
path = path.map{|u| u+1}.join(" -> ")
puts "%d -> %d %4d %s" % [i+1, j+1, dist[i][j], path]
end
end
end
n = 4
edge = [[1, 3, -2], [2, 1, 4], [2, 3, 3], [3, 4, 2], [4, 2, -1]]
floyd_warshall(n, edge)</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|Rust}}==
The lack of built-in support for multi-dimensional arrays makes the task in Rust
a bit lengthy (without additional crates). The used graph representation leverages
Rust's generics, so that it works with any type that defines addition and ordering
and it requires no special value for infinity.
<syntaxhighlight lang="rust">pub type Edge = (usize, usize);
#[derive(Clone, Debug, PartialEq, Eq, Hash)]
pub struct Graph<T> {
size: usize,
edges: Vec<Option<T>>,
}
impl<T> Graph<T> {
pub fn new(size: usize) -> Self {
Self {
size,
edges: std::iter::repeat_with(|| None).take(size * size).collect(),
}
}
pub fn new_with(size: usize, f: impl FnMut(Edge) -> Option<T>) -> Self {
let edges = (0..size)
.flat_map(|i| (0..size).map(move |j| (i, j)))
.map(f)
.collect();
Self { size, edges }
}
pub fn with_diagonal(mut self, mut f: impl FnMut(usize) -> Option<T>) -> Self {
self.edges
.iter_mut()
.step_by(self.size + 1)
.enumerate()
.for_each(move |(vertex, edge)| *edge = f(vertex));
self
}
pub fn size(&self) -> usize {
self.size
}
pub fn edge(&self, edge: Edge) -> &Option<T> {
let index = self.edge_index(edge);
&self.edges[index]
}
pub fn edge_mut(&mut self, edge: Edge) -> &mut Option<T> {
let index = self.edge_index(edge);
&mut self.edges[index]
}
fn edge_index(&self, (row, col): Edge) -> usize {
assert!(row < self.size && col < self.size);
row * self.size() + col
}
}
impl<T> std::ops::Index<Edge> for Graph<T> {
type Output = Option<T>;
fn index(&self, index: Edge) -> &Self::Output {
self.edge(index)
}
}
impl<T> std::ops::IndexMut<Edge> for Graph<T> {
fn index_mut(&mut self, index: Edge) -> &mut Self::Output {
self.edge_mut(index)
}
}
#[derive(Clone, Debug, PartialEq, Eq)]
pub struct Paths(Graph<usize>);
impl Paths {
pub fn new<T>(graph: &Graph<T>) -> Self {
Self(Graph::new_with(graph.size(), |(i, j)| {
graph[(i, j)].as_ref().map(|_| j)
}))
}
pub fn vertices(&self, from: usize, to: usize) -> Path<'_> {
assert!(from < self.0.size() && to < self.0.size());
Path {
graph: &self.0,
from: Some(from),
to,
}
}
fn update(&mut self, from: usize, to: usize, via: usize) {
self.0[(from, to)] = self.0[(from, via)];
}
}
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
pub struct Path<'a> {
graph: &'a Graph<usize>,
from: Option<usize>,
to: usize,
}
impl<'a> Iterator for Path<'a> {
type Item = usize;
fn next(&mut self) -> Option<Self::Item> {
self.from.map(|from| {
let result = from;
self.from = if result != self.to {
self.graph[(result, self.to)]
} else {
None
};
result
})
}
}
pub fn floyd_warshall<W>(mut result: Graph<W>) -> (Graph<W>, Option<Paths>)
where
W: Copy + std::ops::Add<W, Output = W> + std::cmp::Ord + Default,
{
let mut without_negative_cycles = true;
let mut paths = Paths::new(&result);
let n = result.size();
for k in 0..n {
for i in 0..n {
for j in 0..n {
// Negative cycle detection with T::default as the negative boundary
if i == j && result[(i, j)].filter(|&it| it < W::default()).is_some() {
without_negative_cycles = false;
continue;
}
if let (Some(ik_weight), Some(kj_weight)) = (result[(i, k)], result[(k, j)]) {
let ij_edge = result.edge_mut((i, j));
let ij_weight = ik_weight + kj_weight;
if ij_edge.is_none() {
*ij_edge = Some(ij_weight);
paths.update(i, j, k);
} else {
ij_edge
.as_mut()
.filter(|it| ij_weight < **it)
.map_or((), |it| {
*it = ij_weight;
paths.update(i, j, k);
});
}
}
}
}
}
(result, Some(paths).filter(|_| without_negative_cycles)) // No paths for negative cycles
}
fn format_path<T: ToString>(path: impl Iterator<Item = T>) -> String {
path.fold(String::new(), |mut acc, x| {
if !acc.is_empty() {
acc.push_str(" -> ");
}
acc.push_str(&x.to_string());
acc
})
}
fn print_results<W, V>(weights: &Graph<W>, paths: Option<&Paths>, vertex: impl Fn(usize) -> V)
where
W: std::fmt::Display + Default + Eq,
V: std::fmt::Display,
{
let n = weights.size();
for from in 0..n {
for to in 0..n {
if let Some(weight) = &weights[(from, to)] {
// Skip trivial information (i.e., default weight on the diagonal)
if from == to && *weight == W::default() {
continue;
}
println!(
"{} -> {}: {} \t{}",
vertex(from),
vertex(to),
weight,
format_path(paths.iter().flat_map(|p| p.vertices(from, to)).map(&vertex))
);
}
}
}
}
fn main() {
let graph = {
let mut g = Graph::new(4).with_diagonal(|_| Some(0));
g[(0, 2)] = Some(-2);
g[(1, 0)] = Some(4);
g[(1, 2)] = Some(3);
g[(2, 3)] = Some(2);
g[(3, 1)] = Some(-1);
g
};
let (weights, paths) = floyd_warshall(graph);
// Fixup the vertex name (as we use zero-based indices)
print_results(&weights, paths.as_ref(), |index| index + 1);
}
</syntaxhighlight>
{{out}}
<pre>
1 -> 2: -1 1 -> 3 -> 4 -> 2
1 -> 3: -2 1 -> 3
1 -> 4: 0 1 -> 3 -> 4
2 -> 1: 4 2 -> 1
2 -> 3: 2 2 -> 1 -> 3
2 -> 4: 4 2 -> 1 -> 3 -> 4
3 -> 1: 5 3 -> 4 -> 2 -> 1
3 -> 2: 1 3 -> 4 -> 2
3 -> 4: 2 3 -> 4
4 -> 1: 3 4 -> 2 -> 1
4 -> 2: -1 4 -> 2
4 -> 3: 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|Scala}}==
{{trans|Java}}
<syntaxhighlight lang="Scala">
import java.lang.String.format;
object FloydWarshall extends App {
val weights = Array(Array(1, 3, -2), Array(2, 1, 4), Array(2, 3, 3), Array(3, 4, 2), Array(4, 2, -1))
val numVertices = 4
floydWarshall(weights, numVertices)
def floydWarshall(weights: Array[Array[Int]], numVertices: Int): Unit = {
val dist = Array.fill(numVertices, numVertices)(Double.PositiveInfinity)
for (w <- weights)
dist(w(0) - 1)(w(1) - 1) = w(2)
val next = Array.ofDim[Int](numVertices, numVertices)
for (i <- 0 until numVertices; j <- 0 until numVertices if i != j)
next(i)(j) = j + 1
for {
k <- 0 until numVertices
i <- 0 until numVertices
j <- 0 until numVertices
if dist(i)(k) + dist(k)(j) < dist(i)(j)
} {
dist(i)(j) = dist(i)(k) + dist(k)(j)
next(i)(j) = next(i)(k)
}
printResult(dist, next)
}
def printResult(dist: Array[Array[Double]], next: Array[Array[Int]]): Unit = {
println("pair dist path")
for {
i <- 0 until next.length
j <- 0 until next.length if i != j
} {
var u = i + 1
val v = j + 1
var path = format("%d -> %d %2d %s", u, v,
(dist(i)(j)).toInt, u);
while (u != v) {
u = next(u - 1)(v - 1)
path += s" -> $u"
}
println(path)
}
}
}
</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|Scheme}}==
{{works with|Scheme|R7RS small}}
I have run this program successfully in Chibi, Gauche, and CHICKEN 5 Schemes. (One may need an extension to run R7RS code in CHICKEN.)
<syntaxhighlight lang="scheme">;;; Floyd-Warshall algorithm.
;;;
;;; See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
;;;
(import (scheme base))
(import (scheme cxr))
(import (scheme write))
;;;
;;; A square array will be represented by a cons-pair:
;;;
;;; (vector-of-length n-squared . n)
;;;
;;; Arrays are indexed *starting at one*.
;;;
(define (make-arr n fill)
(cons (make-vector (* n n) fill) n))
(define (arr-set! arr i j x)
(let ((vec (car arr))
(n (cdr arr)))
(vector-set! vec (+ (- i 1) (* n (- j 1))) x)))
(define (arr-ref arr i j)
(let ((vec (car arr))
(n (cdr arr)))
(vector-ref vec (+ (- i 1) (* n (- j 1))))))
;;;
;;; Floyd-Warshall.
;;;
;;; Input is a list of length-3 lists representing edges; each entry
;;; is:
;;;
;;; (start-vertex edge-weight end-vertex)
;;;
;;; where vertex identifiers are (to help keep this example brief)
;;; integers from 1 .. n.
;;;
(define (floyd-warshall edges)
(define n
;; Set n to the maximum vertex number. By design, n also equals
;; the number of vertices.
(max (apply max (map car edges))
(apply max (map caddr edges))))
(define distance (make-arr n +inf.0))
(define next-vertex (make-arr n #f))
;; Initialize "distance" and "next-vertex".
(for-each (lambda (edge)
(let ((u (car edge))
(weight (cadr edge))
(v (caddr edge)))
(arr-set! distance u v weight)
(arr-set! next-vertex u v v)))
edges)
(do ((v 1 (+ v 1)))
((< n v))
(arr-set! distance v v 0)
(arr-set! next-vertex v v v))
;; Perform the algorithm.
(do ((k 1 (+ k 1)))
((< n k))
(do ((i 1 (+ i 1)))
((< n i))
(do ((j 1 (+ j 1)))
((< n j))
(let ((dist-ij (arr-ref distance i j))
(dist-ik (arr-ref distance i k))
(dist-kj (arr-ref distance k j)))
(let ((dist-ik+dist-kj (+ dist-ik dist-kj)))
(when (< dist-ik+dist-kj dist-ij)
(arr-set! distance i j dist-ik+dist-kj)
(arr-set! next-vertex i j
(arr-ref next-vertex i k))))))))
;; Return the results.
(values n distance next-vertex))
;;;
;;; Path reconstruction from the "next-vertex" array.
;;;
;;; The return value is a list of vertices.
;;;
(define (find-path next-vertex u v)
(if (not (arr-ref next-vertex u v))
(list)
(let loop ((u u)
(path (list u)))
(if (= u v)
(reverse path)
(let ((u^ (arr-ref next-vertex u v)))
(loop u^ (cons u^ path)))))))
(define (display-path path)
(let loop ((p path))
(cond ((null? p))
((null? (cdr p)) (display (car p)))
(else (display (car p))
(display " -> ")
(loop (cdr p))))))
(define example-graph
'((1 -2 3)
(3 2 4)
(4 -1 2)
(2 4 1)
(2 3 3)))
(let-values (((n distance next-vertex)
(floyd-warshall example-graph)))
(display " pair distance path")
(newline)
(display "------------------------------------")
(newline)
(do ((u 1 (+ u 1)))
((< n u))
(do ((v 1 (+ v 1)))
((< n v))
(unless (= u v)
(display u)
(display " -> ")
(display v)
(let* ((s (number->string (arr-ref distance u v)))
(slen (string-length s))
(padding (- 7 slen)))
(display (make-string padding #\space))
(display s))
(display " ")
(display-path (find-path next-vertex u v))
(newline)))))</syntaxhighlight>
{{out}}
<pre>$ gosh floyd-warshall.scm
pair distance path
------------------------------------
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|SequenceL}}==
{{trans|Go}}
<syntaxhighlight lang="sequencel">import <Utilities/Sequence.sl>;
import <Utilities/Math.sl>;
ARC ::= (To: int, Weight: float);
arc(t,w) := (To: t, Weight: w);
VERTEX ::= (Label: int, Arcs: ARC(1));
vertex(l,arcs(1)) := (Label: l, Arcs: arcs);
getArcsFrom(vertex, graph(1)) :=
let
index := firstIndexOf(graph.Label, vertex);
in
[] when index = 0
else
graph[index].Arcs;
getWeightTo(vertex, arcs(1)) :=
let
index := firstIndexOf(arcs.To, vertex);
in
0 when index = 0
else
arcs[index].Weight;
throughK(k, dist(2)) :=
let
newDist[i, j] := min(dist[i][k] + dist[k][j], dist[i][j]);
in
dist when k > size(dist)
else
throughK(k + 1, newDist);
floydWarshall(graph(1)) :=
let
initialResult[i,j] := 1.79769e308 when i /= j else 0
foreach i within 1 ... size(graph),
j within 1 ... size(graph);
singleResult[i,j] := getWeightTo(j, getArcsFrom(i, graph))
foreach i within 1 ... size(graph),
j within 1 ... size(graph);
start[i,j] :=
initialResult[i,j] when singleResult[i,j] = 0
else
singleResult[i,j];
in
throughK(1, start);
main() :=
let
graph := [vertex(1, [arc(3,-2)]),
vertex(2, [arc(1,4), arc(3,3)]),
vertex(3, [arc(4,2)]),
vertex(4, [arc(2,-1)])];
in
floydWarshall(graph);</syntaxhighlight>
{{out}}
<pre>
[[0,-1,-2,0],[4,0,2,4],[5,1,0,2],[3,-1,1,0]]
</pre>
=={{header|Sidef}}==
{{trans|Ruby}}
<syntaxhighlight lang="ruby">func floyd_warshall(n, edge) {
var dist = n.of {|i| n.of { |j| i == j ? 0 : Inf }}
var nxt = n.of { n.of(nil) }
for u,v,w in edge {
dist[u-1][v-1] = w
nxt[u-1][v-1] = v-1
}
[^n] * 3 -> cartesian { |k, i, j|
if (dist[i][j] > dist[i][k]+dist[k][j]) {
dist[i][j] = dist[i][k]+dist[k][j]
nxt[i][j] = nxt[i][k]
}
}
var summary = "pair dist path\n"
for i,j (^n ~X ^n) {
i==j && next
var u = i
var path = [u]
while (u != j) {
path << (u = nxt[u][j])
}
path.map!{|u| u+1 }.join!(" -> ")
summary += ("%d -> %d %4d %s\n" % (i+1, j+1, dist[i][j], path))
}
return summary
}
var n = 4
var edge = [[1, 3, -2], [2, 1, 4], [2, 3, 3], [3, 4, 2], [4, 2, -1]]
print floyd_warshall(n, edge)</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|Standard ML}}==
{{trans|OCaml}}
{{works with|MLton|20210117}}
{{works with|Poly/ML|5.9}}
You have to comment out the call to '''main ()''' if you are using Poly/ML. The code as is works with MLton.
(Poly/ML is a separate compiler that, by itself, looks for a '''main''' function to start the program at.)
<syntaxhighlight lang="sml">(*
Floyd-Warshall algorithm.
See https://en.wikipedia.org/w/index.php?title=Floyd%E2%80%93Warshall_algorithm&oldid=1082310013
*)
(*------------------------------------------------------------------(*
In this program, I introduce more "abstraction" than there was in
earlier versions, which were written in the SML-like languages
OCaml and ATS. This is an example of proceeding from where one has
gotten so far, to turn a program into a better one. The
improvements made here could be backported to the other languages.
In most respects, though, this program is very similar to the
OCaml.
Standard ML seems to specify its REAL signature is for IEEE
floating point, so this program assumes there is a positive
"infinity". (The difference is tiny between an algorithm with
"infinity" and one without.)
*)------------------------------------------------------------------*)
(* Square arrays with 1-based indexing. *)
signature SQUARE_ARRAY =
sig
type 'a squareArray
val make : int * 'a -> 'a squareArray
val get : 'a squareArray -> int * int -> 'a
val set : 'a squareArray -> int * int -> 'a -> unit
end
structure SquareArray : SQUARE_ARRAY =
struct
type 'a squareArray = int * 'a array
fun make (n, fill) =
(n, Array.array (n * n, fill))
fun get (n, r) (i, j) =
Array.sub (r, (i - 1) + (n * (j - 1)))
fun set (n, r) (i, j) x =
Array.update (r, (i - 1) + (n * (j - 1)), x)
end
(*------------------------------------------------------------------*)
(* A vertex is, internally, a positive integer, or 0 for the nil
object. *)
signature VERTEX =
sig
exception VertexError
eqtype vertex
val nilVertex : vertex
val isNil : vertex -> bool
val max : vertex * vertex -> vertex
val toInt : vertex -> int
val fromInt : int -> vertex
val toString : vertex -> string
val directedListToString : vertex list -> string
end
structure Vertex : VERTEX =
struct
exception VertexError
type vertex = int
val nilVertex = 0
fun isNil u = u = nilVertex
fun max (u, v) = Int.max (u, v)
fun toInt u = u
fun fromInt i =
if i < nilVertex then
raise VertexError
else
i
fun toString u = Int.toString u
fun directedListToString [] = ""
| directedListToString [u] = toString u
| directedListToString (u :: tail) =
(* This implementation is *not* tail recursive. *)
(toString u) ^ " -> " ^ (directedListToString tail)
end
(*------------------------------------------------------------------*)
(* Graph edges, with weights. *)
signature EDGE =
sig
type edge
val make : Vertex.vertex * real * Vertex.vertex -> edge
val first : edge -> Vertex.vertex
val weight : edge -> real
val second : edge -> Vertex.vertex
end
structure Edge : EDGE =
struct
type edge = Vertex.vertex * real * Vertex.vertex
fun make edge = edge
fun first (u, _, _) = u
fun weight (_, w, _) = w
fun second (_, _, v) = v
end
(*------------------------------------------------------------------*)
(* The "dist" array and its operations. *)
signature DISTANCES =
sig
type distances
val make : int -> distances
val get : distances -> int * int -> real
val set : distances -> int * int -> real -> unit
end
structure Distances : DISTANCES =
struct
type distances = real SquareArray.squareArray
fun make n = SquareArray.make (n, Real.posInf)
val get = SquareArray.get
val set = SquareArray.set
end
(*------------------------------------------------------------------*)
(* The "next" array and its operations. It lets you look up optimum
paths. *)
signature PATHS =
sig
type paths
val make : int -> paths
val get : paths -> int * int -> Vertex.vertex
val set : paths -> int * int -> Vertex.vertex -> unit
val path : (paths * int * int) -> Vertex.vertex list
val pathString : (paths * int * int) -> string
end
structure Paths : PATHS =
struct
type paths = Vertex.vertex SquareArray.squareArray
fun make n = SquareArray.make (n, Vertex.nilVertex)
val get = SquareArray.get
val set = SquareArray.set
fun path (p, u, v) =
if Vertex.isNil (get p (u, v)) then
[]
else
let
fun
build_path (p, u, v) =
if u = v then
[v]
else
let
val i = get p (u, v)
in
u :: build_path (p, i, v)
end
in
build_path (p, u, v)
end
fun pathString (p, u, v) =
Vertex.directedListToString (path (p, u, v))
end
(*------------------------------------------------------------------*)
(* Floyd-Warshall. *)
exception FloydWarshallError
fun find_max_vertex [] = Vertex.nilVertex
| find_max_vertex (edge :: tail) =
(* This implementation is *not* tail recursive. *)
Vertex.max (Vertex.max (Edge.first edge, Edge.second edge),
find_max_vertex tail)
fun floyd_warshall [] = raise FloydWarshallError
| floyd_warshall edges =
let
val n = find_max_vertex edges
val dist = Distances.make n
val next = Paths.make n
fun read_edges [] = ()
| read_edges (edge :: tail) =
let
val u = Edge.first edge
val v = Edge.second edge
val weight = Edge.weight edge
in
(Distances.set dist (u, v) weight;
Paths.set next (u, v) v;
read_edges tail)
end
val indices =
(* Indices in order from 1 .. n. *)
List.tabulate (n, fn i => i + 1)
in
(* Initialization. *)
read_edges edges;
List.app (fn i => (Distances.set dist (i, i) 0.0;
Paths.set next (i, i) i))
indices;
(* Perform the algorithm. *)
List.app
(fn k =>
List.app
(fn i =>
List.app
(fn j =>
let
val dist_ij = Distances.get dist (i, j)
val dist_ik = Distances.get dist (i, k)
val dist_kj = Distances.get dist (k, j)
val dist_ikj = dist_ik + dist_kj
in
if dist_ikj < dist_ij then
let
val new_dist = dist_ikj
val new_next = Paths.get next (i, k)
in
Distances.set dist (i, j) new_dist;
Paths.set next (i, j) new_next
end
else
()
end)
indices)
indices)
indices;
(* Return the results, as a 3-tuple. *)
(n, dist, next)
end
(*------------------------------------------------------------------*)
fun tilde_to_minus s =
String.translate (fn c => if c = #"~" then "-" else str c) s
fun main () =
let
val example_graph =
[Edge.make (Vertex.fromInt 1, ~2.0, Vertex.fromInt 3),
Edge.make (Vertex.fromInt 3, 2.0, Vertex.fromInt 4),
Edge.make (Vertex.fromInt 4, ~1.0, Vertex.fromInt 2),
Edge.make (Vertex.fromInt 2, 4.0, Vertex.fromInt 1),
Edge.make (Vertex.fromInt 2, 3.0, Vertex.fromInt 3)]
val (n, dist, next) = floyd_warshall example_graph
val indices =
(* Indices in order from 1 .. n. *)
List.tabulate (n, fn i => i + 1)
in
print " pair distance path\n";
print "---------------------------------------\n";
List.app
(fn u =>
List.app
(fn v =>
if u <> v then
(print " ";
print (Vertex.directedListToString [u, v]);
print " ";
if 0.0 <= Distances.get dist (u, v) then
print " "
else
();
print (tilde_to_minus
(Real.fmt (StringCvt.FIX (SOME 1))
(Distances.get dist (u, v))));
print " ";
print (Paths.pathString (next, u, v));
print "\n")
else
())
indices)
indices
end;
(* Comment out the following line, if you are using Poly/ML. *)
main ();
(*------------------------------------------------------------------*)
(* local variables: *)
(* mode: sml *)
(* sml-indent-level: 2 *)
(* sml-indent-args: 2 *)
(* end: *)</syntaxhighlight>
{{out}}
<pre>$ mlton floyd_warshall_task.sml && ./floyd_warshall_task
pair distance path
---------------------------------------
1 -> 2 -1.0 1 -> 3 -> 4 -> 2
1 -> 3 -2.0 1 -> 3
1 -> 4 0.0 1 -> 3 -> 4
2 -> 1 4.0 2 -> 1
2 -> 3 2.0 2 -> 1 -> 3
2 -> 4 4.0 2 -> 1 -> 3 -> 4
3 -> 1 5.0 3 -> 4 -> 2 -> 1
3 -> 2 1.0 3 -> 4 -> 2
3 -> 4 2.0 3 -> 4
4 -> 1 3.0 4 -> 2 -> 1
4 -> 2 -1.0 4 -> 2
4 -> 3 1.0 4 -> 2 -> 1 -> 3</pre>
=={{header|Tcl}}==
{{tcllib|struct::graph::op}}
The implementation of Floyd-Warshall in tcllib is [https://core.tcl.tk/tcllib/finfo?name=modules/struct/graphops.tcl quite readable]; this example merely initialises a graph from an adjacency list then calls the tcllib code:
<syntaxhighlight lang="tcl">package require Tcl 8.5 ;# for {*} and [dict]
package require struct::graph
package require struct::graph::op
struct::graph g
set arclist {
a b
a p
b m
b c
c d
d e
e f
f q
f g
}
g node insert {*}$arclist
foreach {from to} $arclist {
set a [g arc insert $from $to]
g arc setweight $a 1.0
}
set paths [::struct::graph::op::FloydWarshall g]
set paths [dict filter $paths key {a *}] ;# filter for paths starting at "a"
set paths [dict filter $paths value {[0-9]*}] ;# whose cost is not "Inf"
set paths [lsort -stride 2 -index 1 -real -decreasing $paths] ;# and print the longest first
puts $paths</syntaxhighlight>
{{out}}
<pre>{a q} 6.0 {a g} 6.0 {a f} 5.0 {a e} 4.0 {a d} 3.0 {a m} 2.0 {a c} 2.0 {a p} 1.0 {a b} 1.0 {a a} 0</pre>
=={{header|Visual Basic .NET}}==
{{trans|C#}}
<syntaxhighlight lang="vbnet">Module Module1
Sub PrintResult(dist As Double(,), nxt As Integer(,))
Console.WriteLine("pair dist path")
For i = 1 To nxt.GetLength(0)
For j = 1 To nxt.GetLength(1)
If i <> j Then
Dim u = i
Dim v = j
Dim path = String.Format("{0} -> {1} {2,2:G} {3}", u, v, dist(i - 1, j - 1), u)
Do
u = nxt(u - 1, v - 1)
path += String.Format(" -> {0}", u)
Loop While u <> v
Console.WriteLine(path)
End If
Next
Next
End Sub
Sub FloydWarshall(weights As Integer(,), numVerticies As Integer)
Dim dist(numVerticies - 1, numVerticies - 1) As Double
For i = 1 To numVerticies
For j = 1 To numVerticies
dist(i - 1, j - 1) = Double.PositiveInfinity
Next
Next
For i = 1 To weights.GetLength(0)
dist(weights(i - 1, 0) - 1, weights(i - 1, 1) - 1) = weights(i - 1, 2)
Next
Dim nxt(numVerticies - 1, numVerticies - 1) As Integer
For i = 1 To numVerticies
For j = 1 To numVerticies
If i <> j Then
nxt(i - 1, j - 1) = j
End If
Next
Next
For k = 1 To numVerticies
For i = 1 To numVerticies
For j = 1 To numVerticies
If dist(i - 1, k - 1) + dist(k - 1, j - 1) < dist(i - 1, j - 1) Then
dist(i - 1, j - 1) = dist(i - 1, k - 1) + dist(k - 1, j - 1)
nxt(i - 1, j - 1) = nxt(i - 1, k - 1)
End If
Next
Next
Next
PrintResult(dist, nxt)
End Sub
Sub Main()
Dim weights = {{1, 3, -2}, {2, 1, 4}, {2, 3, 3}, {3, 4, 2}, {4, 2, -1}}
Dim numVeritices = 4
FloydWarshall(weights, numVeritices)
End Sub
End Module</syntaxhighlight>
{{out}}
<pre>pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3</pre>
=={{header|Wren}}==
{{trans|Kotlin}}
{{libheader|Wren-fmt}}
<syntaxhighlight lang="wren">import "./fmt" for Fmt
class FloydWarshall {
static doCalcs(weights, nVertices) {
var dist = List.filled(nVertices, null)
for (i in 0...nVertices) dist[i] = List.filled(nVertices, 1/0)
for (w in weights) dist[w[0] - 1][w[1] - 1] = w[2]
var next = List.filled(nVertices, null)
for (i in 0...nVertices) next[i] = List.filled(nVertices, 0)
for (i in 0...next.count) {
for (j in 0...next.count) {
if (i != j) next[i][j] = j + 1
}
}
for (k in 0...nVertices) {
for (i in 0...nVertices) {
for (j in 0...nVertices) {
if (dist[i][k] + dist[k][j] < dist[i][j]) {
dist[i][j] = dist[i][k] + dist[k][j]
next[i][j] = next[i][k]
}
}
}
}
printResult_(dist, next)
}
static printResult_(dist, next) {
System.print("pair dist path")
for (i in 0...next.count) {
for (j in 0...next.count) {
if (i != j) {
var u = i + 1
var v = j + 1
var path = Fmt.swrite("$d -> $d $2d $s", u, v, dist[i][j].truncate, u)
while (true) {
u = next[u - 1][v - 1]
path = path + " -> " + u.toString
if (u == v) break
}
System.print(path)
}
}
}
}
}
var weights = [ [1, 3, -2], [2, 1, 4], [2, 3, 3], [3, 4, 2], [4, 2, -1] ]
var nVertices = 4
FloydWarshall.doCalcs(weights, nVertices)</syntaxhighlight>
{{out}}
<pre>
pair dist path
1 -> 2 -1 1 -> 3 -> 4 -> 2
1 -> 3 -2 1 -> 3
1 -> 4 0 1 -> 3 -> 4
2 -> 1 4 2 -> 1
2 -> 3 2 2 -> 1 -> 3
2 -> 4 4 2 -> 1 -> 3 -> 4
3 -> 1 5 3 -> 4 -> 2 -> 1
3 -> 2 1 3 -> 4 -> 2
3 -> 4 2 3 -> 4
4 -> 1 3 4 -> 2 -> 1
4 -> 2 -1 4 -> 2
4 -> 3 1 4 -> 2 -> 1 -> 3
</pre>
=={{header|zkl}}==
<
V:=dist[0].len();
next:=V.pump(List,V.pump(List,Void.copy).copy); // VxV matrix of Void
Line 320 ⟶ 6,268:
a,b,c:=dist[i][j],dist[i][k],dist[k][j];
if( (a!=Void and b!=Void and c!=Void and a>b+c) or // Inf math
}
}
Line 334 ⟶ 6,282:
}
fcn printM(m){ m.pump(Console.println,rowFmt) }
fcn rowFmt(row){ ("%5s "*row.len()).fmt(row.xplode()) }</
<
dist:=V.pump(List,V.pump(List,Void.copy).copy); // VxV matrix of Void
foreach i in (V){ dist[i][i] = 0 }
/* Graph from the Wikipedia:
Line 351 ⟶ 6,299:
dist,next:=FloydWarshallWithPathReconstruction(dist);
println("Shortest distance array:"); printM(dist);
println("\nPath array:");
println("\nAll paths:");
foreach u,v in (V,V){
if(p:=path(next,u,v)) p.println();
}</
{{out}}
<pre>
| |||