context("Seeded graph matching")
test_that("SGM works", {
library(igraph)
local_rng_version("3.5.0")
set.seed(42)
vc <- 10
nos <- 3
g1 <- erdos.renyi.game(vc, .5)
randperm <- c(1:nos, nos + sample(vc-nos))
g2 <- sample_correlated_gnp(g1, corr=.7, p=g1$p, permutation=randperm)
P <-match_vertices (g1[], g2[], m=nos, start=matrix(1/(vc-nos), vc-nos, vc-nos),
iteration=20)
expect_that(c(1:nos, P$corr[,2]), equals(randperm))
expect_that(apply(P$P != 0, 1, which), equals(randperm))
expect_that(apply(P$D != 0, 1, which),
equals(randperm[(nos+1):vc] - nos))
## Slightly bigger
set.seed(42)
vc <- 100
nos <- 10
g1 <- erdos.renyi.game(vc, .1);
perm <- c(1:nos, sample(vc-nos)+nos)
g2 <- sample_correlated_gnp(g1, corr=1, p=g1$p, permutation=perm)
P <- match_vertices(g1[], g2[], m=nos, start=matrix(1/(vc-nos), vc-nos, vc-nos),
iteration=20)
expect_that(P$corr[,2], equals(perm[(nos+1):vc]))
expect_that(apply(P$P != 0, 1, which), equals(perm))
expect_that(apply(P$D != 0, 1, which),
equals(perm[(nos+1):vc] - nos))
})
test_that("LSAP does not change input matrix", {
x <- matrix(c(5, 1, 4, 3, 5, 2, 2, 4, 4), nrow = 3)
solve_LSAP(x)
expect_equal(x, matrix(c(5, 1, 4, 3, 5, 2, 2, 4, 4), nrow = 3))
})
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