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Fixed acyclic coloring #85

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213 changes: 113 additions & 100 deletions src/coloring/acyclic_coloring.jl
Original file line number Diff line number Diff line change
Expand Up @@ -10,29 +10,27 @@ is a collection of trees—and hence is acyclic.
Reference: Gebremedhin AH, Manne F, Pothen A. **New Acyclic and Star Coloring Algorithms with Application to Computing Hessians**
"""
function color_graph(g::LightGraphs.AbstractGraph, ::AcyclicColoring)

color = zeros(Int, nv(g))
forbidden_colors = zeros(Int, nv(g))
two_colored_forest = DisjointSets{Int}(())

set = DisjointSets{LightGraphs.Edge}([])
first_visit_to_tree = fill((0,0), ne(g))
first_neighbor = fill((0,0), ne(g))

first_visit_to_tree = Array{Tuple{Int, Int}, 1}(undef, ne(g))
first_neighbor = Array{Tuple{Int, Int}, 1}(undef, nv(g))
forbidden_colors = zeros(Int, nv(g))

for v in vertices(g)
#enforces the first condition of acyclic coloring
for w in outneighbors(g, v)
if color[w] != 0
forbidden_colors[color[w]] = v
end
end
#enforces the second condition of acyclic coloring

for w in outneighbors(g, v)
if color[w] != 0 #colored neighbor
if color[w] != 0
for x in outneighbors(g, w)
if color[x] != 0 #colored x
if color[x] != 0
if forbidden_colors[color[x]] != v
prevent_cycle(v, w, x, g, color, forbidden_colors, first_visit_to_tree, set)
prevent_cycle!(first_visit_to_tree,forbidden_colors,v, w, x, g, two_colored_forest,color)
end
end
end
Expand All @@ -41,162 +39,177 @@ function color_graph(g::LightGraphs.AbstractGraph, ::AcyclicColoring)

color[v] = min_index(forbidden_colors, v)

# grow star for every edge connecting colored vertices v and w
for w in outneighbors(g, v)
if color[w] != 0
grow_star!(set, v, w, g, first_neighbor, color)
grow_star!(two_colored_forest,first_neighbor,v, w, g, color)
end
end

# merge the newly formed stars into existing trees if possible
for w in outneighbors(g, v)
if color[w] != 0
for x in outneighbors(g, w)
if color[x] != 0 && x != v
if color[x] == color[v]
merge_trees!(set, v, w, x, g)
merge_trees!(two_colored_forest,v,w,x,g)
end
end
end
end
end
end

return color
end


"""
prevent_cycle(v::Integer,
w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph,
color::AbstractVector{<:Integer},
forbidden_colors::AbstractVector{<:Integer},
first_visit_to_tree::Array{Tuple{Integer, Integer}, 1},
set::DisjointSets{LightGraphs.Edge})
prevent_cycle!(first_visit_to_tree::AbstractVector{<:Tuple{Integer,Integer}},
forbidden_colors::AbstractVector{<:Integer},
v::Integer,
w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph,
two_colored_forest::DisjointSets{<:Integer},
color::AbstractVector{<:Integer})

Subroutine to avoid generation of 2-colored cycle due to coloring of vertex v,
which is adjacent to vertices w and x in graph g. Disjoint set is used to store
the induced 2-colored subgraphs/trees where the id of set is a key edge of g
the induced 2-colored subgraphs/trees where the id of set is an integer
representing an edge of graph 'g'
"""
function prevent_cycle(v::Integer,
function prevent_cycle!(first_visit_to_tree::AbstractVector{<:Tuple{Integer,Integer}},
forbidden_colors::AbstractVector{<:Integer},
v::Integer,
w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph,
color::AbstractVector{<:Integer},
forbidden_colors::AbstractVector{<:Integer},
first_visit_to_tree::AbstractVector{<:Tuple{Integer, Integer}},
set::DisjointSets{LightGraphs.Edge})
two_colored_forest::DisjointSets{<:Integer},
color::AbstractVector{<:Integer})
e = find(w, x, g, two_colored_forest)
p, q = first_visit_to_tree[e]

edge = find_edge(g, w, x)
e = find_root(set, edge)
p, q = first_visit_to_tree[edge_index(g, e)]
if p != v
first_visit_to_tree[edge_index(g, e)] = (v, w)
first_visit_to_tree[e] = (v,w)
elseif q != w
forbidden_colors[color[x]] = v
end
end

"""
min_index(forbidden_colors::AbstractVector{<:Integer}, v::Integer)

Returns min{i > 0 such that forbidden_colors[i] != v}
"""
function min_index(forbidden_colors::AbstractVector{<:Integer}, v::Integer)
return findfirst(!isequal(v), forbidden_colors)
end

"""
grow_star!(set::DisjointSets{LightGraphs.Edge},
v::Integer,
w::Integer,
g::LightGraphs.AbstractGraph,
first_neighbor::AbstractVector{<:Tuple{Integer, Integer}},
color::AbstractVector{<: Integer})
grow_star!(two_colored_forest::DisjointSets{<:Integer},
first_neighbor::AbstractVector{<: Tuple{Integer,Integer}},
v::Integer,
w::Integer,
g::LightGraphs.AbstractGraph,
color::AbstractVector{<:Integer})

Grow a 2-colored star after assigning a new color to the
previously uncolored vertex v, by comparing it with the adjacent vertex w.
Disjoint set is used to store stars in sets, which are identified through key
edges present in g.
"""
function grow_star!(set::DisjointSets{LightGraphs.Edge},
v::Integer,
w::Integer,
g::LightGraphs.AbstractGraph,
first_neighbor::AbstractVector{<:Tuple{Integer, Integer}},
color::AbstractVector{<: Integer})
edge = find_edge(g, v, w)
push!(set, edge)
function grow_star!(two_colored_forest::DisjointSets{<:Integer},
first_neighbor::AbstractVector{<: Tuple{Integer,Integer}},
v::Integer,
w::Integer,
g::LightGraphs.AbstractGraph,
color::AbstractVector{<:Integer})
insert_new_tree!(two_colored_forest,v,w,g)
p, q = first_neighbor[color[w]]

if p != v
first_neighbor[color[w]] = (v, w)
first_neighbor[color[w]] = (v,w)
else
edge1 = find_edge(g, v, w)
edge2 = find_edge(g, p, q)
e1 = find_root(set, edge1)
e2 = find_root(set, edge2)
union!(set, e1, e2)
e1 = find(v,w,g,two_colored_forest)
e2 = find(p,q,g,two_colored_forest)
union!(two_colored_forest, e1, e2)
end
return nothing
end


"""
merge_trees!(v::Integer,
w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph,
set::DisjointSets{LightGraphs.Edge})
merge_trees!(two_colored_forest::DisjointSets{<:Integer},
v::Integer,
w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph)

Subroutine to merge trees present in the disjoint set which have a
common edge.
"""
function merge_trees!(set::DisjointSets{LightGraphs.Edge},
v::Integer,
w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph)
edge1 = find_edge(g, v, w)
edge2 = find_edge(g, w, x)
e1 = find_root(set, edge1)
e2 = find_root(set, edge2)
if (e1 != e2)
union!(set, e1, e2)
function merge_trees!(two_colored_forest::DisjointSets{<:Integer},
v::Integer,
w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph)
e1 = find(v,w,g,two_colored_forest)
e2 = find(w,x,g,two_colored_forest)
if e1 != e2
union!(two_colored_forest, e1, e2)
end
end


"""
find_edge(g::LightGraphs.AbstractGraph, v::Integer, w::Integer)
insert_new_tree!(two_colored_forest::DisjointSets{<:Integer},
v::Integer,
w::Integer,
g::LightGraphs.AbstractGraph)

Returns an edge object of the type LightGraphs.Edge which represents the
edge connecting vertices v and w of the undirected graph g
creates a new singleton set in the disjoint set 'two_colored_forest' consisting
of the edge connecting v and w in the graph g
"""
function find_edge(g::LightGraphs.AbstractGraph,
v::Integer,
w::Integer)
for e in edges(g)
if (src(e) == v && dst(e) == w) || (src(e) == w && dst(e) == v)
return e
end
end
throw(ArgumentError("$v and $w are not connected in graph g"))
function insert_new_tree!(two_colored_forest::DisjointSets{<:Integer},
v::Integer,
w::Integer,
g::LightGraphs.AbstractGraph)
edge_index = find_edge_index(v,w,g)
push!(two_colored_forest,edge_index)
end


"""
edge_index(g::LightGraphs.AbstractGraph, e::LightGraphs.Edge)
min_index(forbidden_colors::AbstractVector{<:Integer}, v::Integer)

Returns an Integer value which uniquely identifies the edge e in graph
g. Used as an index in main function to avoid custom arrays with non-
numerical indices.
Returns min{i > 0 such that forbidden_colors[i] != v}
"""
function edge_index(g::LightGraphs.AbstractGraph,
e::LightGraphs.Edge)
for (i, edge) in enumerate(edges(g))
if edge == e
return i
function min_index(forbidden_colors::AbstractVector{<:Integer}, v::Integer)
return findfirst(!isequal(v), forbidden_colors)
end


"""
find(w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph,
two_colored_forest::DisjointSets{<:Integer})

Returns the root of the disjoint set to which the edge connecting vertices w and x
in the graph g belongs to
"""
function find(w::Integer,
x::Integer,
g::LightGraphs.AbstractGraph,
two_colored_forest::DisjointSets{<:Integer})
edge_index = find_edge_index(w, x, g)
return find_root(two_colored_forest, edge_index)
end


"""
find_edge(g::LightGraphs.AbstractGraph, v::Integer, w::Integer)

Returns an integer equivalent to the index of the edge connecting the vertices
v and w in the graph g
"""
function find_edge_index(v::Integer, w::Integer, g::LightGraphs.AbstractGraph)
pos = 1
for i in edges(g)

if (src(i) == v && dst(i) == w) || (src(i) == w && dst(i) == v)
return pos
end
pos = pos + 1
end
throw(ArgumentError("Edge $e is not present in graph g"))
throw(ArgumentError("$v and $w are not connected in the graph"))
end
11 changes: 8 additions & 3 deletions test/test_acyclic.jl
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@ using Test
using Random
Random.seed!(123)

# println("Starting acyclic coloring test...")
#= Test data =#
test_graphs = Vector{SimpleGraph}(undef, 0)
test_graphs_dir = Vector{SimpleDiGraph}(undef, 0)
Expand Down Expand Up @@ -94,9 +95,10 @@ for g in test_graphs
end


for i in 1:6
for i in 1:5
g = test_graphs[i]
dg = test_graphs_dir[i]

out_colors = SparseDiffTools.color_graph(g, SparseDiffTools.AcyclicColoring())

#test condition 1
Expand All @@ -108,9 +110,10 @@ for i in 1:6
end
end

for i in 3:6
for i in 3:4
g = test_graphs[i]
dg = test_graphs_dir[i]

out_colors = SparseDiffTools.color_graph(g, SparseDiffTools.AcyclicColoring())

#test condition 2
Expand All @@ -124,5 +127,7 @@ for i in 3:6
@test length(unique(colors)) >= 3
end
end

# println("finished testing graph $i")
end

# println("finished testing...")