test_that("as_biadjacency_matrix() works -- dense", {
I <- matrix(sample(0:1, 35, replace = TRUE, prob = c(3, 1)), ncol = 5)
g <- graph_from_biadjacency_matrix(I)
I2 <- as_biadjacency_matrix(g)
expect_equal(I, I2, ignore_attr = TRUE)
expect_identical(rownames(I2), as.character(1:7))
expect_identical(colnames(I2), as.character(8:12))
})
test_that("as_biadjacency_matrix() works -- dense named", {
I <- matrix(sample(0:1, 35, replace = TRUE, prob = c(3, 1)), ncol = 5)
g <- graph_from_biadjacency_matrix(I)
V(g)$name <- letters[1:length(V(g))]
expect_true(is_named(g))
I2 <- as_biadjacency_matrix(g)
expect_equal(I, I2, ignore_attr = TRUE)
expect_identical(rownames(I2), c("a", "b", "c", "d", "e", "f", "g"))
expect_identical(colnames(I2), c("h", "i", "j", "k", "l"))
})
test_that("as_biadjacency_matrix() works -- sparse", {
I <- matrix(sample(0:1, 35, replace = TRUE, prob = c(3, 1)), ncol = 5)
g <- graph_from_biadjacency_matrix(I)
I3 <- as_biadjacency_matrix(g, sparse = TRUE)
expect_equal(as.matrix(I3), I, ignore_attr = TRUE)
expect_identical(rownames(I3), as.character(1:7))
expect_identical(colnames(I3), as.character(8:12))
})
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