Nothing
test_that("dyad_census works", {
g1 <- make_ring(10)
expect_warning(dc1 <- dyad_census(g1), "directed")
expect_that(dc1, equals(list(mut = 10, asym = 0, null = 35)))
g2 <- make_ring(10, directed = TRUE, mutual = TRUE)
dc2 <- dyad_census(g2)
expect_that(dc2, equals(list(mut = 10, asym = 0, null = 35)))
g3 <- make_ring(10, directed = TRUE, mutual = FALSE)
dc3 <- dyad_census(g3)
expect_that(dc3, equals(list(mut = 0, asym = 10, null = 35)))
g4 <- make_empty_graph(2000000)
expect_warning(dc4 <- dyad_census(g4), "Integer overflow")
expect_that(dc4, equals(list(mut = 0, asym = 0, null = -1)))
})
test_that("dyad_census works with celegansneural", {
ce <- simplify(read_graph(gzfile("celegansneural.gml.gz"), format = "gml"))
dc <- dyad_census(ce)
expect_that(dc, equals(list(mut = 197, asym = 1951, null = 41808)))
expect_that(sum(which_mutual(ce)), equals(dc$mut * 2))
expect_that(
ecount(as.undirected(ce, mode = "collapse")) - dc$mut,
equals(dc$asym)
)
expect_that(sum(unlist(dc)), equals(vcount(ce) * (vcount(ce) - 1) / 2))
})
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