test_that("cluster_leiden works", {
  set.seed(42)

  g <- make_graph("Zachary")
  mc <- cluster_leiden(g, resolution_parameter = 0.06)

  expect_that(
    as.vector(membership(mc)),
    equals(c(
      1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 1,
      1, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2
    ))
  )
  expect_that(length(mc), equals(2))
  expect_that(
    sizes(mc),
    equals(structure(c(17L, 17L),
      .Dim = 2L,
      .Dimnames = structure(list(`Community sizes` = c("1", "2")),
        .Names = "Community sizes"
      ),
      class = "table"
    ))
  )

  set.seed(42)
  mc <- cluster_leiden(g, "modularity")

  expect_that(
    as.vector(membership(mc)),
    equals(c(
      1, 1, 1, 1, 2, 2, 2, 1, 3, 3, 2, 1, 1, 1, 3, 3, 2,
      1, 3, 1, 3, 1, 3, 4, 4, 4, 3, 4, 4, 3, 3, 4, 3, 3
    ))
  )
  expect_that(length(mc), equals(4))
  expect_that(
    sizes(mc),
    equals(structure(c(11L, 5L, 12L, 6L),
      .Dim = 4L,
      .Dimnames = structure(list(`Community sizes` = c("1", "2", "3", "4")),
        .Names = "Community sizes"
      ),
      class = "table"
    ))
  )
})