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yap-6.3/library/ugraphs.yap

574 lines
16 KiB
Prolog

% File : GRAPHS.PL
% Author : R.A.O'Keefe
% Updated: 20 March 1984
% Purpose: Graph-processing utilities.
%
% adapted to support some of the functionality of the SICStus ugraphs library
% by Vitor Santos Costa.
%
/* The P-representation of a graph is a list of (from-to) vertex
pairs, where the pairs can be in any old order. This form is
convenient for input/output.
The S-representation of a graph is a list of (vertex-neighbours)
pairs, where the pairs are in standard order (as produced by
keysort) and the neighbours of each vertex are also in standard
order (as produced by sort). This form is convenient for many
calculations.
p_to_s_graph(Pform, Sform) converts a P- to an S- representation.
s_to_p_graph(Sform, Pform) converts an S- to a P- representation.
warshall(Graph, Closure) takes the transitive closure of a graph
in S-form. (NB: this is not the reflexive transitive closure).
s_to_p_trans(Sform, Pform) converts Sform to Pform, transposed.
p_transpose transposes a graph in P-form, cost O(|E|).
s_transpose transposes a graph in S-form, cost O(|V|^2).
*/
:- module(ugraphs,
[
add_vertices/3,
add_edges/3,
complement/2,
compose/3,
del_edges/3,
del_vertices/3,
edges/2,
neighbours/3,
neighbors/3,
reachable/3,
top_sort/2,
top_sort/3,
transitive_closure/2,
transpose/2,
vertices/2,
vertices_edges_to_ugraph/3,
ugraph_union/3
]).
:- use_module(library(lists), [
append/3,
member/2,
memberchk/2
]).
:- use_module(library(ordsets), [
ord_add_element/3,
ord_subtract/3,
ord_union/3,
ord_union/4
]).
/*
:- public
p_to_s_graph/2,
s_to_p_graph/2, % edges
s_to_p_trans/2,
p_member/3,
s_member/3,
p_transpose/2,
s_transpose/2,
compose/3,
top_sort/2,
vertices/2,
warshall/2.
:- mode
vertices(+, -),
p_to_s_graph(+, -),
p_to_s_vertices(+, -),
p_to_s_group(+, +, -),
p_to_s_group(+, +, -, -),
s_to_p_graph(+, -),
s_to_p_graph(+, +, -, -),
s_to_p_trans(+, -),
s_to_p_trans(+, +, -, -),
p_member(?, ?, +),
s_member(?, ?, +),
p_transpose(+, -),
s_transpose(+, -),
s_transpose(+, -, ?, -),
transpose_s(+, +, +, -),
compose(+, +, -),
compose(+, +, +, -),
compose1(+, +, +, -),
compose1(+, +, +, +, +, +, +, -),
top_sort(+, -),
vertices_and_zeros(+, -, ?),
count_edges(+, +, +, -),
incr_list(+, +, +, -),
select_zeros(+, +, -),
top_sort(+, -, +, +, +),
decr_list(+, +, +, -, +, -),
warshall(+, -),
warshall(+, +, -),
warshall(+, +, +, -).
*/
% vertices(S_Graph, Vertices)
% strips off the neighbours lists of an S-representation to produce
% a list of the vertices of the graph. (It is a characteristic of
% S-representations that *every* vertex appears, even if it has no
% neighbours.)
vertices([], []) :- !.
vertices([Vertex-_|Graph], [Vertex|Vertices]) :-
vertices(Graph, Vertices).
vertices_edges_to_ugraph(Vertices, Edges, Graph) :-
sort(Edges, EdgeSet),
p_to_s_vertices(EdgeSet, IVertexBag),
append(Vertices, IVertexBag, VertexBag),
sort(VertexBag, VertexSet),
p_to_s_group(VertexSet, EdgeSet, Graph).
add_vertices(Graph, Vertices, NewGraph) :-
msort(Vertices, V1),
add_vertices_to_s_graph(V1, Graph, NewGraph).
add_vertices_to_s_graph(L, [], NL) :- !, add_empty_vertices(L, NL).
add_vertices_to_s_graph([], L, L) :- !.
add_vertices_to_s_graph([V1|VL], [V-Edges|G], NGL) :-
compare(Res, V1, V),
add_vertices_to_s_graph(Res, V1, VL, V, Edges, G, NGL).
add_vertices_to_s_graph(=, _, VL, V, Edges, G, [V-Edges|NGL]) :-
add_vertices_to_s_graph(VL, G, NGL).
add_vertices_to_s_graph(<, V1, VL, V, Edges, G, [V1-[]|NGL]) :-
add_vertices_to_s_graph(VL, [V-Edges|G], NGL).
add_vertices_to_s_graph(>, V1, VL, V, Edges, G, [V-Edges|NGL]) :-
add_vertices_to_s_graph([V1|VL], G, NGL).
add_empty_vertices([], []).
add_empty_vertices([V|G], [V-[]|NG]) :-
add_empty_vertices(G, NG).
%
% unmark a set of vertices plus all edges leading to them.
%
del_vertices(Graph, Vertices, NewGraph) :-
msort(Vertices, V1),
(V1 = [] -> Graph = NewGraph ;
del_vertices(Graph, V1, V1, NewGraph) ).
del_vertices(G, [], V1, NG) :- !,
del_remaining_edges_for_vertices(G, V1, NG).
del_vertices([], _, _, []).
del_vertices([V-Edges|G], [V0|Vs], V1, NG) :-
compare(Res, V, V0),
split_on_del_vertices(Res, V,Edges, [V0|Vs], NVs, V1, NG, NGr),
del_vertices(G, NVs, V1, NGr).
del_remaining_edges_for_vertices([], _, []).
del_remaining_edges_for_vertices([V0-Edges|G], V1, [V0-NEdges|NG]) :-
ord_subtract(Edges, V1, NEdges),
del_remaining_edges_for_vertices(G, V1, NG).
split_on_del_vertices(<, V, Edges, Vs, Vs, V1, [V-NEdges|NG], NG) :-
ord_subtract(Edges, V1, NEdges).
split_on_del_vertices(>, V, Edges, [_|Vs], Vs, V1, [V-NEdges|NG], NG) :-
ord_subtract(Edges, V1, NEdges).
split_on_del_vertices(=, _, _, [_|Vs], Vs, _, NG, NG).
add_edges(Graph, Edges, NewGraph) :-
p_to_s_graph(Edges, G1),
graph_union(Graph, G1, NewGraph).
% graph_union(+Set1, +Set2, ?Union)
% is true when Union is the union of Set1 and Set2. This code is a copy
% of set union
graph_union(Set1, [], Set1) :- !.
graph_union([], Set2, Set2) :- !.
graph_union([Head1-E1|Tail1], [Head2-E2|Tail2], Union) :-
compare(Order, Head1, Head2),
graph_union(Order, Head1-E1, Tail1, Head2-E2, Tail2, Union).
graph_union(=, Head-E1, Tail1, _-E2, Tail2, [Head-Es|Union]) :-
ord_union(E1, E2, Es),
graph_union(Tail1, Tail2, Union).
graph_union(<, Head1, Tail1, Head2, Tail2, [Head1|Union]) :-
graph_union(Tail1, [Head2|Tail2], Union).
graph_union(>, Head1, Tail1, Head2, Tail2, [Head2|Union]) :-
graph_union([Head1|Tail1], Tail2, Union).
del_edges(Graph, Edges, NewGraph) :-
p_to_s_graph(Edges, G1),
graph_subtract(Graph, G1, NewGraph).
% graph_subtract(+Set1, +Set2, ?Difference)
% is based on ord_subtract
%
graph_subtract(Set1, [], Set1) :- !.
graph_subtract([], _, []).
graph_subtract([Head1-E1|Tail1], [Head2-E2|Tail2], Difference) :-
compare(Order, Head1, Head2),
graph_subtract(Order, Head1-E1, Tail1, Head2-E2, Tail2, Difference).
graph_subtract(=, H-E1, Tail1, _-E2, Tail2, [H-E|Difference]) :-
ord_subtract(E1,E2,E),
graph_subtract(Tail1, Tail2, Difference).
graph_subtract(<, Head1, Tail1, Head2, Tail2, [Head1|Difference]) :-
graph_subtract(Tail1, [Head2|Tail2], Difference).
graph_subtract(>, Head1, Tail1, _, Tail2, Difference) :-
graph_subtract([Head1|Tail1], Tail2, Difference).
edges(Graph, Edges) :-
s_to_p_graph(Graph, Edges).
p_to_s_graph(P_Graph, S_Graph) :-
sort(P_Graph, EdgeSet),
p_to_s_vertices(EdgeSet, VertexBag),
sort(VertexBag, VertexSet),
p_to_s_group(VertexSet, EdgeSet, S_Graph).
p_to_s_vertices([], []).
p_to_s_vertices([A-Z|Edges], [A,Z|Vertices]) :-
p_to_s_vertices(Edges, Vertices).
p_to_s_group([], _, []).
p_to_s_group([Vertex|Vertices], EdgeSet, [Vertex-Neibs|G]) :-
p_to_s_group(EdgeSet, Vertex, Neibs, RestEdges),
p_to_s_group(Vertices, RestEdges, G).
p_to_s_group([V1-X|Edges], V2, [X|Neibs], RestEdges) :- V1 == V2, !,
p_to_s_group(Edges, V2, Neibs, RestEdges).
p_to_s_group(Edges, _, [], Edges).
s_to_p_graph([], []) :- !.
s_to_p_graph([Vertex-Neibs|G], P_Graph) :-
s_to_p_graph(Neibs, Vertex, P_Graph, Rest_P_Graph),
s_to_p_graph(G, Rest_P_Graph).
s_to_p_graph([], _, P_Graph, P_Graph) :- !.
s_to_p_graph([Neib|Neibs], Vertex, [Vertex-Neib|P], Rest_P) :-
s_to_p_graph(Neibs, Vertex, P, Rest_P).
s_to_p_trans([], []) :- !.
s_to_p_trans([Vertex-Neibs|G], P_Graph) :-
s_to_p_trans(Neibs, Vertex, P_Graph, Rest_P_Graph),
s_to_p_trans(G, Rest_P_Graph).
s_to_p_trans([], _, P_Graph, P_Graph) :- !.
s_to_p_trans([Neib|Neibs], Vertex, [Neib-Vertex|P], Rest_P) :-
s_to_p_trans(Neibs, Vertex, P, Rest_P).
transitive_closure(Graph, Closure) :-
warshall(Graph, Graph, Closure).
warshall(Graph, Closure) :-
warshall(Graph, Graph, Closure).
warshall([], Closure, Closure) :- !.
warshall([V-_|G], E, Closure) :-
memberchk(V-Y, E), % Y := E(v)
warshall(E, V, Y, NewE),
warshall(G, NewE, Closure).
warshall([X-Neibs|G], V, Y, [X-NewNeibs|NewG]) :-
memberchk(V, Neibs),
!,
ord_union(Neibs, Y, NewNeibs),
warshall(G, V, Y, NewG).
warshall([X-Neibs|G], V, Y, [X-Neibs|NewG]) :- !,
warshall(G, V, Y, NewG).
warshall([], _, _, []).
p_transpose([], []) :- !.
p_transpose([From-To|Edges], [To-From|Transpose]) :-
p_transpose(Edges, Transpose).
transpose(S_Graph, Transpose) :-
s_transpose(S_Graph, Base, Base, Transpose).
s_transpose(S_Graph, Transpose) :-
s_transpose(S_Graph, Base, Base, Transpose).
s_transpose([], [], Base, Base) :- !.
s_transpose([Vertex-Neibs|Graph], [Vertex-[]|RestBase], Base, Transpose) :-
s_transpose(Graph, RestBase, Base, SoFar),
transpose_s(SoFar, Neibs, Vertex, Transpose).
transpose_s([Neib-Trans|SoFar], [Neib|Neibs], Vertex,
[Neib-[Vertex|Trans]|Transpose]) :- !,
transpose_s(SoFar, Neibs, Vertex, Transpose).
transpose_s([Head|SoFar], Neibs, Vertex, [Head|Transpose]) :- !,
transpose_s(SoFar, Neibs, Vertex, Transpose).
transpose_s([], [], _, []).
% p_member(X, Y, P_Graph)
% tests whether the edge (X,Y) occurs in the graph. This always
% costs O(|E|) time. Here, as in all the operations in this file,
% vertex labels are assumed to be ground terms, or at least to be
% sufficiently instantiated that no two of them have a common instance.
p_member(X, Y, P_Graph) :-
nonvar(X), nonvar(Y), !,
memberchk(X-Y, P_Graph).
p_member(X, Y, P_Graph) :-
member(X-Y, P_Graph).
% s_member(X, Y, S_Graph)
% tests whether the edge (X,Y) occurs in the graph. If either
% X or Y is instantiated, the check is order |V| rather than
% order |E|.
s_member(X, Y, S_Graph) :-
var(X), var(Y), !,
member(X-Neibs, S_Graph),
member(Y, Neibs).
s_member(X, Y, S_Graph) :-
var(X), !,
member(X-Neibs, S_Graph),
memberchk(Y, Neibs).
s_member(X, Y, S_Graph) :-
var(Y), !,
memberchk(X-Neibs, S_Graph),
member(Y, Neibs).
s_member(X, Y, S_Graph) :-
memberchk(X-Neibs, S_Graph),
memberchk(Y, Neibs).
% compose(G1, G2, Composition)
% calculates the composition of two S-form graphs, which need not
% have the same set of vertices.
compose(G1, G2, Composition) :-
vertices(G1, V1),
vertices(G2, V2),
ord_union(V1, V2, V),
compose(V, G1, G2, Composition).
compose([], _, _, []) :- !.
compose([Vertex|Vertices], [Vertex-Neibs|G1], G2, [Vertex-Comp|Composition]) :- !,
compose1(Neibs, G2, [], Comp),
compose(Vertices, G1, G2, Composition).
compose([Vertex|Vertices], G1, G2, [Vertex-[]|Composition]) :-
compose(Vertices, G1, G2, Composition).
compose1([V1|Vs1], [V2-N2|G2], SoFar, Comp) :-
compare(Rel, V1, V2), !,
compose1(Rel, V1, Vs1, V2, N2, G2, SoFar, Comp).
compose1(_, _, Comp, Comp).
compose1(<, _, Vs1, V2, N2, G2, SoFar, Comp) :- !,
compose1(Vs1, [V2-N2|G2], SoFar, Comp).
compose1(>, V1, Vs1, _, _, G2, SoFar, Comp) :- !,
compose1([V1|Vs1], G2, SoFar, Comp).
compose1(=, V1, Vs1, V1, N2, G2, SoFar, Comp) :-
ord_union(N2, SoFar, Next),
compose1(Vs1, G2, Next, Comp).
/* NOT USED AFTER ALL
% raakau(Vertices, InitialValue, Tree)
% takes an *ordered* list of verticies and an initial value, and
% makes a very special sort of tree out of them, which represents
% a function sending each vertex to the initial value. Note that
% in the third clause for raakau/6 Z can never be 0, this means
% that it doesn't matter *what* "greatest member" is reported for
% empty trees.
raakau(Vertices, InitialValue, Tree) :-
length(Vertices, N),
raakau(N, Vertices, _, _, InitialValue, Tree).
raakau(0, Vs, Vs, 0, I, t) :- !.
raakau(1, [V|Vs], Vs, V, I, t(V,I)) :- !.
raakau(N, Vi, Vo, W, I, t(V,W,I,L,R)) :-
A is (N-1)/2,
Z is (N-1)-A, % Z >= 1
raakau(A, Vi, [V|Vm], _, I, L),
raakau(Z, Vm, Vo, W, I, R).
% incdec(OldTree, Labels, Incr, NewTree)
% adds Incr to the value associated with each element of Labels
% in OldTree, producing a new tree. OldTree must have been produced
% either by raakau or by incdec, Labels must be in ascedning order,
% and must be a subset of the labels of the tree.
incdec(OldTree, Labels, Incr, NewTree) :-
incdec(OldTree, NewTree, Labels, _, Incr).
incdec(t(V,M), t(V,N), [V|L], L, I) :- !,
N is M+I.
incdec(t(V,W,M,L1,R1), t(V,W,N,L2,R2), Li, Lo, I) :-
( Li = [Hi|_], Hi @< V, !,
incdec(L1, L2, Li, Lm, I)
; L2 = L1, Lm = Li
),
( Lm = [V|Lr], !,
N is M+I
; Lr = Lm, N = M
),
( Lr = [Hr|_], Hr @=< W, !,
incdec(R1, R2, Lr, Lo, I)
; R2 = R1, Lo = Lr
).
/* END UNUSED CODE */
top_sort(Graph, Sorted) :-
vertices_and_zeros(Graph, Vertices, Counts0),
count_edges(Graph, Vertices, Counts0, Counts1),
select_zeros(Counts1, Vertices, Zeros),
top_sort(Zeros, Sorted, Graph, Vertices, Counts1).
top_sort(Graph, Sorted0, Sorted) :-
vertices_and_zeros(Graph, Vertices, Counts0),
count_edges(Graph, Vertices, Counts0, Counts1),
select_zeros(Counts1, Vertices, Zeros),
top_sort(Zeros, Sorted, Sorted0, Graph, Vertices, Counts1).
vertices_and_zeros([], [], []) :- !.
vertices_and_zeros([Vertex-_|Graph], [Vertex|Vertices], [0|Zeros]) :-
vertices_and_zeros(Graph, Vertices, Zeros).
count_edges([], _, Counts, Counts) :- !.
count_edges([_-Neibs|Graph], Vertices, Counts0, Counts2) :-
incr_list(Neibs, Vertices, Counts0, Counts1),
count_edges(Graph, Vertices, Counts1, Counts2).
incr_list([], _, Counts, Counts) :- !.
incr_list([V1|Neibs], [V2|Vertices], [M|Counts0], [N|Counts1]) :- V1 == V2, !,
N is M+1,
incr_list(Neibs, Vertices, Counts0, Counts1).
incr_list(Neibs, [_|Vertices], [N|Counts0], [N|Counts1]) :-
incr_list(Neibs, Vertices, Counts0, Counts1).
select_zeros([], [], []) :- !.
select_zeros([0|Counts], [Vertex|Vertices], [Vertex|Zeros]) :- !,
select_zeros(Counts, Vertices, Zeros).
select_zeros([_|Counts], [_|Vertices], Zeros) :-
select_zeros(Counts, Vertices, Zeros).
top_sort([], [], Graph, _, Counts) :- !,
vertices_and_zeros(Graph, _, Counts).
top_sort([Zero|Zeros], [Zero|Sorted], Graph, Vertices, Counts1) :-
graph_memberchk(Zero-Neibs, Graph),
decr_list(Neibs, Vertices, Counts1, Counts2, Zeros, NewZeros),
top_sort(NewZeros, Sorted, Graph, Vertices, Counts2).
top_sort([], Sorted0, Sorted0, Graph, _, Counts) :- !,
vertices_and_zeros(Graph, _, Counts).
top_sort([Zero|Zeros], [Zero|Sorted], Sorted0, Graph, Vertices, Counts1) :-
graph_memberchk(Zero-Neibs, Graph),
decr_list(Neibs, Vertices, Counts1, Counts2, Zeros, NewZeros),
top_sort(NewZeros, Sorted, Sorted0, Graph, Vertices, Counts2).
graph_memberchk(Element1-Edges, [Element2-Edges2|_]) :- Element1 == Element2, !,
Edges = Edges2.
graph_memberchk(Element, [_|Rest]) :-
graph_memberchk(Element, Rest).
decr_list([], _, Counts, Counts, Zeros, Zeros) :- !.
decr_list([V1|Neibs], [V2|Vertices], [1|Counts1], [0|Counts2], Zi, Zo) :- V1 == V2, !,
decr_list(Neibs, Vertices, Counts1, Counts2, [V2|Zi], Zo).
decr_list([V1|Neibs], [V2|Vertices], [N|Counts1], [M|Counts2], Zi, Zo) :- V1 == V2, !,
M is N-1,
decr_list(Neibs, Vertices, Counts1, Counts2, Zi, Zo).
decr_list(Neibs, [_|Vertices], [N|Counts1], [N|Counts2], Zi, Zo) :-
decr_list(Neibs, Vertices, Counts1, Counts2, Zi, Zo).
neighbors(V,[V0-Neig|_],Neig) :- V == V0, !.
neighbors(V,[_|G],Neig) :-
neighbors(V,G,Neig).
neighbours(V,[V0-Neig|_],Neig) :- V == V0, !.
neighbours(V,[_|G],Neig) :-
neighbours(V,G,Neig).
%
% Simple two-step algorithm. You could be smarter, I suppose.
%
complement(G, NG) :-
vertices(G,Vs),
complement(G,Vs,NG).
complement([], _, []).
complement([V-Ns|G], Vs, [V-INs|NG]) :-
ord_add_element(Ns,V,Ns1),
ord_subtract(Vs,Ns1,INs),
complement(G, Vs, NG).
reachable(N, G, Rs) :-
reachable([N], G, [N], Rs).
reachable([], _, Rs, Rs).
reachable([N|Ns], G, Rs0, RsF) :-
neighbours(N, G, Nei),
ord_union(Rs0, Nei, Rs1, D),
append(Ns, D, Nsi),
reachable(Nsi, G, Rs1, RsF).
%% ugraph_union(+Set1, +Set2, ?Union)
%
% Is true when Union is the union of Set1 and Set2. This code is a
% copy of set union
ugraph_union(Set1, [], Set1) :- !.
ugraph_union([], Set2, Set2) :- !.
ugraph_union([Head1-E1|Tail1], [Head2-E2|Tail2], Union) :-
compare(Order, Head1, Head2),
ugraph_union(Order, Head1-E1, Tail1, Head2-E2, Tail2, Union).
ugraph_union(=, Head-E1, Tail1, _-E2, Tail2, [Head-Es|Union]) :-
ord_union(E1, E2, Es),
ugraph_union(Tail1, Tail2, Union).
ugraph_union(<, Head1, Tail1, Head2, Tail2, [Head1|Union]) :-
ugraph_union(Tail1, [Head2|Tail2], Union).
ugraph_union(>, Head1, Tail1, Head2, Tail2, [Head2|Union]) :-
ugraph_union([Head1|Tail1], Tail2, Union).