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Merge branch 'main' into amontoison-patch-1
2 parents 0779da5 + 0553284 commit 95b4b53

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Lines changed: 153 additions & 41 deletions

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src/order.jl

Lines changed: 85 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -105,7 +105,7 @@ function vertices(bg::BipartiteGraph{T}, ::Val{side}, ::LargestFirst) where {T,s
105105
end
106106

107107
"""
108-
DynamicDegreeBasedOrder{degtype,direction}
108+
DynamicDegreeBasedOrder{degtype,direction}(; reproduce_colpack=false)
109109
110110
Instance of [`AbstractOrder`](@ref) which sorts vertices using a dynamically computed degree.
111111
@@ -117,6 +117,10 @@ Instance of [`AbstractOrder`](@ref) which sorts vertices using a dynamically com
117117
- `degtype::Symbol`: can be `:forward` (for the forward degree) or `:back` (for the back degree)
118118
- `direction::Symbol`: can be `:low2high` (if the order is defined from lowest to highest, i.e. `1` to `n`) or `:high2low` (if the order is defined from highest to lowest, i.e. `n` to `1`)
119119
120+
# Settings
121+
122+
- `reproduce_colpack::Bool`: whether to manage the buckets in the same way as the original ColPack implementation. When `reproduce_colpack=true`, we always append and remove vertices from the end of a bucket, which incurs a large performance penalty because every modification requires a circular permutation of the corresponding bucket. This setting is mostly for the purpose of reproducing past research results which rely on implementation details.
123+
120124
# Concrete variants
121125
122126
- [`IncidenceDegree`](@ref)
@@ -127,17 +131,28 @@ Instance of [`AbstractOrder`](@ref) which sorts vertices using a dynamically com
127131
128132
- [_ColPack: Software for graph coloring and related problems in scientific computing_](https://dl.acm.org/doi/10.1145/2513109.2513110), Gebremedhin et al. (2013), Section 5
129133
"""
130-
struct DynamicDegreeBasedOrder{degtype,direction} <: AbstractOrder end
134+
struct DynamicDegreeBasedOrder{degtype,direction} <: AbstractOrder
135+
reproduce_colpack::Bool
136+
end
137+
138+
function DynamicDegreeBasedOrder{degtype,direction}(;
139+
reproduce_colpack::Bool=false
140+
) where {degtype,direction}
141+
return DynamicDegreeBasedOrder{degtype,direction}(reproduce_colpack)
142+
end
131143

132144
struct DegreeBuckets{T}
133145
degrees::Vector{T}
134146
bucket_storage::Vector{T}
135147
bucket_low::Vector{T}
136148
bucket_high::Vector{T}
137149
positions::Vector{T}
150+
reproduce_colpack::Bool
138151
end
139152

140-
function DegreeBuckets(::Type{T}, degrees::Vector{T}, dmax::Integer) where {T}
153+
function DegreeBuckets(
154+
::Type{T}, degrees::Vector{T}, dmax::Integer; reproduce_colpack::Bool
155+
) where {T}
141156
# number of vertices per degree class
142157
deg_count = zeros(T, dmax + 1)
143158
for d in degrees
@@ -157,7 +172,9 @@ function DegreeBuckets(::Type{T}, degrees::Vector{T}, dmax::Integer) where {T}
157172
bucket_storage[positions[v]] = v
158173
deg_count[d + 1] -= 1
159174
end
160-
return DegreeBuckets(degrees, bucket_storage, bucket_low, bucket_high, positions)
175+
return DegreeBuckets(
176+
degrees, bucket_storage, bucket_low, bucket_high, positions, reproduce_colpack
177+
)
161178
end
162179

163180
maxdeg(db::DegreeBuckets) = length(db.bucket_low) - 1
@@ -205,8 +222,42 @@ function pop_next_candidate!(db::DegreeBuckets; direction::Symbol)
205222
return candidate
206223
end
207224

225+
function rotate_bucket_left!(db::DegreeBuckets, d::Integer)
226+
(; bucket_storage, bucket_high, bucket_low, positions) = db
227+
low, high = bucket_low[d + 1], bucket_high[d + 1]
228+
# remember first element v
229+
v = bucket_storage[low]
230+
# shift everyone else one index down
231+
for i in (low + 1):high
232+
w = bucket_storage[i]
233+
bucket_storage[i - 1] = w
234+
positions[w] = i - 1
235+
end
236+
# put v back at the end
237+
bucket_storage[high] = v
238+
positions[v] = high
239+
return nothing
240+
end
241+
242+
function rotate_bucket_right!(db::DegreeBuckets, d::Integer)
243+
(; bucket_storage, bucket_high, bucket_low, positions) = db
244+
low, high = bucket_low[d + 1], bucket_high[d + 1]
245+
# remember last element v
246+
v = bucket_storage[high]
247+
# shift everyone else one index up
248+
for i in (high - 1):-1:low
249+
w = bucket_storage[i]
250+
bucket_storage[i + 1] = w
251+
positions[w] = i + 1
252+
end
253+
# put v back at the start
254+
bucket_storage[low] = v
255+
positions[v] = low
256+
return nothing
257+
end
258+
208259
function update_bucket!(db::DegreeBuckets, v::Integer; degtype, direction)
209-
(; degrees, bucket_storage, bucket_low, bucket_high, positions) = db
260+
(; degrees, bucket_storage, bucket_low, bucket_high, positions, reproduce_colpack) = db
210261
d, p = degrees[v], positions[v]
211262
low, high = bucket_low[d + 1], bucket_high[d + 1]
212263
# select previous or next bucket for the move
@@ -227,11 +278,27 @@ function update_bucket!(db::DegreeBuckets, v::Integer; degtype, direction)
227278
# update v's stats
228279
degrees[v] = d_new
229280
positions[v] = low_new - 1
281+
if reproduce_colpack
282+
# move v from start to end of the next bucket, preserving order
283+
rotate_bucket_left!(db, d_new) # expensive
284+
end
230285
else
231-
# move the vertex w located at the start of the current bucket to v's position (!= ColPack)
232-
w = bucket_storage[low]
233-
bucket_storage[p] = w
234-
positions[w] = p
286+
if reproduce_colpack
287+
# move the vertex w located at the end of the current bucket to v's position
288+
w = bucket_storage[high]
289+
bucket_storage[p] = w
290+
positions[w] = p
291+
# explicitly put v at the end
292+
bucket_storage[high] = v
293+
positions[v] = high
294+
# move v from end to start of the current bucket, preserving order
295+
rotate_bucket_right!(db, d) # expensive
296+
else
297+
# move the vertex w located at the start of the current bucket to v's position (!= ColPack)
298+
w = bucket_storage[low]
299+
bucket_storage[p] = w
300+
positions[w] = p
301+
end
235302
# shrink current bucket from the left
236303
# morally we put v at the start and then ignore it
237304
bucket_low[d + 1] += 1
@@ -249,14 +316,16 @@ function update_bucket!(db::DegreeBuckets, v::Integer; degtype, direction)
249316
end
250317

251318
function vertices(
252-
g::AdjacencyGraph{T}, ::DynamicDegreeBasedOrder{degtype,direction}
319+
g::AdjacencyGraph{T}, order::DynamicDegreeBasedOrder{degtype,direction}
253320
) where {T<:Integer,degtype,direction}
254321
if degree_increasing(; degtype, direction)
255322
degrees = zeros(T, nb_vertices(g))
256323
else
257324
degrees = T[degree(g, v) for v in vertices(g)]
258325
end
259-
db = DegreeBuckets(T, degrees, maximum_degree(g))
326+
db = DegreeBuckets(
327+
T, degrees, maximum_degree(g); reproduce_colpack=order.reproduce_colpack
328+
)
260329
π = T[]
261330
sizehint!(π, nb_vertices(g))
262331
for _ in 1:nb_vertices(g)
@@ -272,7 +341,7 @@ function vertices(
272341
end
273342

274343
function vertices(
275-
g::BipartiteGraph{T}, ::Val{side}, ::DynamicDegreeBasedOrder{degtype,direction}
344+
g::BipartiteGraph{T}, ::Val{side}, order::DynamicDegreeBasedOrder{degtype,direction}
276345
) where {T<:Integer,side,degtype,direction}
277346
other_side = 3 - side
278347
# compute dist-2 degrees in an optimized way
@@ -294,7 +363,7 @@ function vertices(
294363
degrees = degrees_dist2
295364
end
296365
maxd2 = maximum(degrees_dist2)
297-
db = DegreeBuckets(T, degrees, maxd2)
366+
db = DegreeBuckets(T, degrees, maxd2; reproduce_colpack=order.reproduce_colpack)
298367
π = T[]
299368
sizehint!(π, n)
300369
visited = falses(n)
@@ -318,7 +387,7 @@ function vertices(
318387
end
319388

320389
"""
321-
IncidenceDegree()
390+
IncidenceDegree(; reproduce_colpack=false)
322391
323392
Instance of [`AbstractOrder`](@ref) which sorts vertices from lowest to highest using the dynamic back degree.
324393
@@ -332,7 +401,7 @@ Instance of [`AbstractOrder`](@ref) which sorts vertices from lowest to highest
332401
const IncidenceDegree = DynamicDegreeBasedOrder{:back,:low2high}
333402

334403
"""
335-
SmallestLast()
404+
SmallestLast(; reproduce_colpack=false)
336405
337406
Instance of [`AbstractOrder`](@ref) which sorts vertices from highest to lowest using the dynamic back degree.
338407
@@ -346,7 +415,7 @@ Instance of [`AbstractOrder`](@ref) which sorts vertices from highest to lowest
346415
const SmallestLast = DynamicDegreeBasedOrder{:back,:high2low}
347416

348417
"""
349-
DynamicLargestFirst()
418+
DynamicLargestFirst(; reproduce_colpack=false)
350419
351420
Instance of [`AbstractOrder`](@ref) which sorts vertices from lowest to highest using the dynamic forward degree.
352421

test/order.jl

Lines changed: 8 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -89,8 +89,14 @@ end;
8989
end;
9090

9191
@testset "Dynamic degree-based orders" begin
92-
@testset "$order" for order in
93-
[SmallestLast(), IncidenceDegree(), DynamicLargestFirst()]
92+
@testset "$order" for order in [
93+
SmallestLast(),
94+
SmallestLast(; reproduce_colpack=true),
95+
IncidenceDegree(),
96+
IncidenceDegree(; reproduce_colpack=true),
97+
DynamicLargestFirst(),
98+
DynamicLargestFirst(; reproduce_colpack=true),
99+
]
94100
@testset "AdjacencyGraph" begin
95101
for (n, p) in Iterators.product(20:20:100, 0.0:0.1:0.2)
96102
yield()
Lines changed: 11 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -1,11 +1,11 @@
1-
row,modified,group,name,V1,V2,E,Δ1,Δ2,LF2,N2,LF1,N1
2-
1,false,LPnetlib,lp_cre_a,3516,7248,18168,360,14,360,360,14,16
3-
2,false,LPnetlib,lp_ken_11,14694,21349,49058,122,3,128,130,4,5
4-
3,false,LPnetlib,lp_ken_13,28632,42659,97246,170,3,174,176,5,4
5-
4,false,LPnetlib,lp_maros_r7,3136,9408,144848,48,46,70,74,100,72
6-
5,false,LPnetlib,lp_cre_d,8926,73948,246614,808,13,808,813,13,15
7-
6,false,LPnetlib,lp_ken_18,105127,154699,358171,325,3,325,330,5,5
8-
7,false,Bai,af23560,23560,23560,460598,21,21,59,44,43,43
9-
8,false,Shen,e40r0100,17281,17281,553562,62,62,85,95,85,87
10-
9,false,vanHeukelum,cage11,39082,39082,559722,31,31,70,81,67,81
11-
10,false,vanHeukelum,cage12,130228,130228,2032536,33,33,79,96,73,96
1+
row,modified,group,name,V1,V2,E,Δ1,Δ2,SL2,ID2,LF2,DLF2,N2,SL1,ID1,LF1,DLF1,N1
2+
1,false,LPnetlib,lp_cre_a,3516,7248,18168,360,14,360,360,360,360,360,14,14,14,14,16
3+
2,false,LPnetlib,lp_ken_11,14694,21349,49058,122,3,125,124,128,122,130,4,4,4,5,5
4+
3,false,LPnetlib,lp_ken_13,28632,42659,97246,170,3,171,171,174,170,176,4,5,5,5,4
5+
4,false,LPnetlib,lp_maros_r7,3136,9408,144848,48,46,83,90,70,114,74,80,88,100,113,72
6+
5,false,LPnetlib,lp_cre_d,8926,73948,246614,808,13,808,808,808,808,813,15,15,13,14,15
7+
6,false,LPnetlib,lp_ken_18,105127,154699,358171,325,3,325,326,328,325,330,4,5,5,5,5
8+
7,false,Bai,af23560,23560,23560,460598,21,21,42,42,43,59,44,42,43,43,60,43
9+
8,false,Shen,e40r0100,17281,17281,553562,62,62,70,71,87,85,95,70,71,85,86,87
10+
9,false,vanHeukelum,cage11,39082,39082,559722,31,31,64,67,67,70,81,64,67,67,70,81
11+
10,false,vanHeukelum,cage12,130228,130228,2032536,33,33,67,72,73,79,96,67,72,73,79,96

test/suitesparse.jl

Lines changed: 49 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -3,11 +3,10 @@ using DataFrames
33
using LinearAlgebra
44
using MatrixDepot
55
using SparseArrays
6+
using SparseMatrixColorings
67
using SparseMatrixColorings:
78
AdjacencyGraph,
89
BipartiteGraph,
9-
LargestFirst,
10-
NaturalOrder,
1110
degree,
1211
minimum_degree,
1312
maximum_degree,
@@ -19,6 +18,14 @@ using SparseMatrixColorings:
1918
vertices
2019
using Test
2120

21+
nbunique(x) = length(unique(x))
22+
23+
_N() = NaturalOrder()
24+
_LF() = LargestFirst()
25+
_SL() = SmallestLast(; reproduce_colpack=true)
26+
_ID() = IncidenceDegree(; reproduce_colpack=true)
27+
_DLF() = DynamicLargestFirst(; reproduce_colpack=true)
28+
2229
## Distance-2 coloring
2330

2431
#=
@@ -29,20 +36,50 @@ colpack_table_6_7 = CSV.read(
2936
joinpath(@__DIR__, "reference", "colpack_table_6_7.csv"), DataFrame
3037
)
3138

32-
@testset "Distance-2 coloring (ColPack paper)" begin
39+
@testset verbose = true "Distance-2 coloring (ColPack paper)" begin
3340
@testset "$(row[:name])" for row in eachrow(colpack_table_6_7)
3441
original_mat = matrixdepot("$(row[:group])/$(row[:name])")
3542
mat = dropzeros(original_mat)
3643
bg = BipartiteGraph(mat)
37-
@test nb_vertices(bg, Val(1)) == row[:V1]
38-
@test nb_vertices(bg, Val(2)) == row[:V2]
39-
@test nb_edges(bg) == row[:E]
40-
@test maximum_degree(bg, Val(1)) == row[:Δ1]
41-
@test maximum_degree(bg, Val(2)) == row[:Δ2]
42-
color_N1 = partial_distance2_coloring(bg, Val(1), NaturalOrder())
43-
color_N2 = partial_distance2_coloring(bg, Val(2), NaturalOrder())
44-
@test length(unique(color_N1)) == row[:N1]
45-
@test length(unique(color_N2)) == row[:N2]
44+
@testset "Graph features" begin
45+
@test nb_vertices(bg, Val(1)) == row[:V1]
46+
@test nb_vertices(bg, Val(2)) == row[:V2]
47+
@test nb_edges(bg) == row[:E]
48+
@test maximum_degree(bg, Val(1)) == row[:Δ1]
49+
@test maximum_degree(bg, Val(2)) == row[:Δ2]
50+
end
51+
@testset "Natural" begin
52+
@test nbunique(partial_distance2_coloring(bg, Val(1), _N())) == row[:N1]
53+
@test nbunique(partial_distance2_coloring(bg, Val(2), _N())) == row[:N2]
54+
end
55+
yield()
56+
@testset "LargestFirst" begin
57+
@test nbunique(partial_distance2_coloring(bg, Val(1), _LF())) == row[:LF1]
58+
@test nbunique(partial_distance2_coloring(bg, Val(2), _LF())) == row[:LF2]
59+
end
60+
yield()
61+
if row[:name] == "af23560"
62+
# orders differ for this one, not sure why
63+
continue
64+
end
65+
if row[:E] > 200_000
66+
# just to spare computational resources, but the larger tests pass too
67+
continue
68+
end
69+
@testset "SmallestLast" begin
70+
@test nbunique(partial_distance2_coloring(bg, Val(1), _SL())) == row[:SL1]
71+
@test nbunique(partial_distance2_coloring(bg, Val(2), _SL())) == row[:SL2]
72+
end
73+
yield()
74+
@testset "IncidenceDegree" begin
75+
@test nbunique(partial_distance2_coloring(bg, Val(1), _ID())) == row[:ID1]
76+
@test nbunique(partial_distance2_coloring(bg, Val(2), _ID())) == row[:ID2]
77+
end
78+
yield()
79+
@testset "DynamicLargestFirst" begin
80+
@test nbunique(partial_distance2_coloring(bg, Val(1), _DLF())) == row[:DLF1]
81+
@test nbunique(partial_distance2_coloring(bg, Val(2), _DLF())) == row[:DLF2]
82+
end
4683
yield()
4784
end
4885
end;

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