library("reticulate") library("igraph") library("leiden") library("multiplex") set.seed(9000) context("running Leiden on multiplex igraph objects") suppressWarnings(suppressMessages({ #imported from Achab94/mplex::aarhus_mplex multiplex_mplex <- list(nodes = structure(list(nodeID = 1:61, nodeLabel = structure(c(3L, 18L, 33L, 4L, 5L, 10L, 11L, 1L, 26L, 27L, 29L, 30L, 32L, 36L, 37L, 40L, 43L, 60L, 12L, 23L, 51L, 56L, 58L, 6L, 13L, 15L, 16L, 24L, 31L, 38L, 42L, 45L, 54L, 55L, 57L, 61L, 2L, 14L, 22L, 19L, 25L, 28L, 34L, 35L, 53L, 7L, 9L, 17L, 41L, 47L, 48L, 52L, 8L, 39L, 49L, 50L, 46L, 44L, 59L, 20L, 21L), .Label = c("U1", "U10", "U102", "U106", "U107", "U109", "U110", "U112", "U113", "U118", "U123", "U124", "U126", "U13", "U130", "U134", "U138", "U139", "U14", "U140", "U141", "U142", "U17", "U18", "U19", "U21", "U22", "U23", "U26", "U29", "U3", "U32", "U33", "U37", "U4", "U41", "U42", "U47", "U48", "U49", "U53", "U54", "U59", "U6", "U62", "U63", "U65", "U67", "U68", "U69", "U71", "U72", "U73", "U76", "U79", "U86", "U90", "U91", "U92", "U97", "U99"), class = "factor")), class = "data.frame", row.names = c(NA, -61L)), layerNames = c("lunch", "facebook", "coauthor", "leisure", "work"), L1 = structure(list(ID_Start = c(1L, 1L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L, 15L, 15L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 21L, 21L, 21L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 3L, 3L, 3L, 3L, 3L, 30L, 30L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 33L, 33L, 33L, 34L, 34L, 34L, 35L, 37L, 37L, 38L, 38L, 39L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 40L, 40L, 40L, 41L, 41L, 42L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 46L, 46L, 46L, 47L, 47L, 47L, 48L, 49L, 49L, 5L, 5L, 5L, 50L, 50L, 51L, 51L, 52L, 53L, 53L, 54L, 54L, 54L, 55L, 55L, 56L, 59L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L), ID_Arrive = c(2L, 3L, 11L, 14L, 15L, 16L, 14L, 15L, 16L, 13L, 20L, 40L, 20L, 26L, 40L, 45L, 15L, 16L, 30L, 23L, 25L, 46L, 49L, 50L, 51L, 52L, 21L, 25L, 43L, 44L, 56L, 58L, 24L, 25L, 30L, 36L, 40L, 42L, 45L, 44L, 51L, 57L, 26L, 25L, 46L, 49L, 50L, 51L, 52L, 25L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 31L, 35L, 43L, 46L, 47L, 48L, 52L, 56L, 58L, 27L, 34L, 44L, 46L, 31L, 32L, 33L, 34L, 35L, 36L, 38L, 44L, 54L, 59L, 29L, 31L, 32L, 33L, 34L, 35L, 36L, 31L, 32L, 33L, 34L, 35L, 21L, 44L, 51L, 57L, 7L, 34L, 36L, 32L, 33L, 34L, 35L, 33L, 34L, 35L, 34L, 35L, 36L, 35L, 36L, 57L, 58L, 40L, 41L, 39L, 44L, 44L, 10L, 11L, 14L, 15L, 16L, 18L, 6L, 41L, 42L, 45L, 42L, 45L, 45L, 51L, 56L, 58L, 51L, 53L, 54L, 55L, 57L, 59L, 61L, 47L, 49L, 52L, 48L, 51L, 52L, 52L, 50L, 52L, 12L, 13L, 20L, 51L, 52L, 52L, 57L, 56L, 54L, 55L, 55L, 59L, 61L, 59L, 61L, 58L, 61L, 10L, 11L, 14L, 15L, 16L, 21L, 34L, 44L, 51L, 57L, 12L, 13L, 37L, 40L, 41L, 42L, 45L, 18L, 25L, 43L, 51L, 56L, 58L), Weight = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L)), row.names = c(NA, 193L), class = "data.frame"), L2 = structure(list(ID_Start = c(12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 15L, 15L, 15L, 17L, 17L, 17L, 17L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 21L, 21L, 21L, 21L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 33L, 33L, 33L, 34L, 34L, 34L, 37L, 37L, 39L, 39L, 39L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 44L, 44L, 46L, 46L, 47L, 47L, 47L, 5L, 5L, 5L, 5L, 50L, 51L, 51L, 56L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L), ID_Arrive = c(13L, 23L, 21L, 23L, 26L, 44L, 46L, 51L, 16L, 34L, 39L, 23L, 46L, 47L, 51L, 23L, 24L, 26L, 27L, 28L, 29L, 30L, 31L, 33L, 34L, 56L, 58L, 34L, 44L, 46L, 51L, 34L, 37L, 39L, 44L, 46L, 47L, 50L, 51L, 56L, 28L, 30L, 31L, 33L, 34L, 27L, 28L, 29L, 30L, 33L, 34L, 39L, 44L, 51L, 29L, 30L, 31L, 33L, 34L, 30L, 31L, 33L, 34L, 31L, 33L, 34L, 39L, 44L, 33L, 34L, 37L, 39L, 44L, 34L, 44L, 53L, 39L, 46L, 50L, 39L, 44L, 44L, 46L, 51L, 12L, 13L, 17L, 5L, 7L, 8L, 9L, 46L, 51L, 47L, 51L, 50L, 51L, 56L, 12L, 13L, 19L, 21L, 53L, 56L, 58L, 58L, 13L, 15L, 16L, 21L, 23L, 26L, 30L, 39L, 44L, 51L, 12L, 13L, 21L, 34L, 37L, 51L, 56L, 58L ), Weight = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L)), row.names = 194:317, class = "data.frame"), L3 = structure(list(ID_Start = c(10L, 12L, 18L, 23L, 23L, 23L, 26L, 26L, 26L, 26L, 26L, 28L, 30L, 38L, 39L, 4L, 46L, 46L, 49L, 6L, 8L), ID_Arrive = c(11L, 13L, 46L, 46L, 49L, 52L, 27L, 28L, 30L, 33L, 36L, 33L, 36L, 54L, 55L, 6L, 48L, 49L, 52L, 14L, 37L), Weight = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L)), row.names = 318:338, class = "data.frame"), L4 = structure(list(ID_Start = c(10L, 12L, 12L, 15L, 15L, 15L, 17L, 17L, 17L, 17L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 28L, 28L, 28L, 29L, 29L, 30L, 31L, 31L, 31L, 31L, 32L, 33L, 33L, 34L, 34L, 34L, 34L, 35L, 37L, 37L, 37L, 37L, 39L, 39L, 4L, 4L, 40L, 40L, 40L, 41L, 41L, 42L, 44L, 46L, 46L, 46L, 46L, 47L, 47L, 48L, 5L, 5L, 5L, 50L, 55L, 6L, 8L, 8L, 8L, 8L, 8L, 9L), ID_Arrive = c(15L, 13L, 25L, 16L, 34L, 39L, 23L, 46L, 50L, 52L, 23L, 25L, 28L, 36L, 23L, 40L, 42L, 45L, 25L, 31L, 35L, 46L, 47L, 48L, 49L, 50L, 52L, 56L, 25L, 31L, 33L, 35L, 31L, 35L, 46L, 56L, 32L, 33L, 36L, 31L, 35L, 33L, 33L, 34L, 35L, 37L, 33L, 34L, 35L, 35L, 36L, 45L, 50L, 58L, 38L, 39L, 43L, 45L, 43L, 55L, 14L, 6L, 41L, 42L, 45L, 42L, 45L, 45L, 51L, 47L, 48L, 50L, 51L, 48L, 50L, 52L, 13L, 20L, 23L, 52L, 61L, 14L, 11L, 37L, 40L, 42L, 45L, 25L), Weight = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L)), row.names = 339:426, class = "data.frame"), L5 = structure(list(ID_Start = c(10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 15L, 17L, 17L, 17L, 18L, 18L, 18L, 19L, 19L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 28L, 29L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 32L, 33L, 34L, 34L, 34L, 35L, 36L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 39L, 39L, 4L, 4L, 4L, 4L, 40L, 40L, 40L, 41L, 41L, 42L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 48L, 5L, 5L, 5L, 5L, 5L, 50L, 50L, 51L, 51L, 51L, 51L, 53L, 54L, 55L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L), ID_Arrive = c(11L, 14L, 15L, 16L, 13L, 15L, 16L, 18L, 21L, 26L, 34L, 46L, 60L, 13L, 20L, 18L, 20L, 22L, 26L, 40L, 45L, 46L, 34L, 23L, 46L, 51L, 21L, 44L, 51L, 26L, 44L, 11L, 12L, 18L, 21L, 37L, 40L, 41L, 5L, 51L, 7L, 8L, 40L, 42L, 45L, 40L, 41L, 44L, 46L, 51L, 57L, 58L, 60L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 26L, 31L, 32L, 46L, 51L, 56L, 27L, 28L, 30L, 31L, 32L, 33L, 34L, 36L, 37L, 44L, 36L, 44L, 32L, 35L, 11L, 21L, 44L, 46L, 51L, 57L, 6L, 7L, 9L, 32L, 36L, 34L, 35L, 38L, 41L, 44L, 33L, 44L, 36L, 44L, 46L, 44L, 44L, 40L, 41L, 42L, 45L, 44L, 54L, 59L, 44L, 55L, 11L, 14L, 6L, 7L, 41L, 42L, 45L, 42L, 45L, 45L, 51L, 51L, 53L, 54L, 55L, 57L, 59L, 61L, 47L, 48L, 49L, 51L, 52L, 48L, 51L, 51L, 12L, 13L, 20L, 21L, 22L, 51L, 52L, 52L, 56L, 57L, 58L, 55L, 56L, 61L, 11L, 14L, 18L, 21L, 35L, 51L, 7L, 10L, 11L, 15L, 16L, 18L, 19L, 20L, 21L, 26L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 39L, 44L, 46L, 51L, 57L, 11L, 13L, 19L, 21L, 26L, 34L, 37L, 40L, 41L, 42L, 45L, 51L ), Weight = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L)), row.names = 427:620, class = "data.frame")) lunch <- graph_from_edgelist(as.matrix(multiplex_mplex[[3]][,1:2])) V(lunch)$name <- as.character(multiplex_mplex[[1]][,2]) facebook <- graph_from_edgelist(as.matrix(multiplex_mplex[[4]][,1:2])) facebook <- graph_from_edgelist( rbind(as.matrix(multiplex_mplex[[4]][,1:2]), cbind(setdiff(as.integer(V(lunch)), as.integer(V(facebook))), setdiff(as.integer(V(lunch)), as.integer(V(facebook)))) ) ) V(facebook)$name <- as.character(multiplex_mplex[[1]][,2]) coauthor <- graph_from_edgelist(as.matrix(multiplex_mplex[[5]][,1:2])) coauthor <- graph_from_edgelist( rbind(as_edgelist(coauthor), cbind(setdiff(as.integer(V(lunch)), as.integer(V(coauthor))), setdiff(as.integer(V(lunch)), as.integer(V(coauthor)))) ) ) leisure <- graph_from_edgelist(as.matrix(multiplex_mplex[[6]][,1:2])) V(leisure)$name <- as.character(multiplex_mplex[[1]][,2]) work <- graph_from_edgelist(as.matrix(multiplex_mplex[[7]][,1:2])) V(work)$name <- as.character(multiplex_mplex[[1]][,2]) multiplex_graph <- list(lunch, facebook, coauthor, leisure, work) multiplex_graph <- lapply(multiplex_graph, upgrade_graph) })) multiplex_adj_mat <- lapply(multiplex_graph, igraph::as_adjacency_matrix) modules <- reticulate::py_module_available("leidenalg") && reticulate::py_module_available("igraph") skip_if_no_python <- function() { if (!modules) testthat::skip("leidenalg not available for testing") } <<<<<<< HEAD ======= set.seed(9000) >>>>>>> 7d904bd98ec75ea8cc9bda7b50896458b3c26522 test_that("run with CPMVertexPartition multiplexed", { skip_if_no_python() partition <- leiden(multiplex_graph, partition_type = "CPMVertexPartition", resolution_parameter = 0.1, seed = 9001) expect_length(partition, length(V(multiplex_graph[[1]]))) expect_equal(sort(unique(partition)), c(1:10)) expect_equal(partition, c(8, 2, 7, 5, 2, 5, 1, 2, 6, 5, 5, 2, 2, 5, 5, 5, 3, 6, 1, 2, 7, 10, 3, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 4, 4, 2, <<<<<<< HEAD 2, 2, 6, 4, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 6, 7, 6, 4, 9, 4 ======= 2, 2, 6, 4, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 3, 7, 6, 4, 9, 4 >>>>>>> 7d904bd98ec75ea8cc9bda7b50896458b3c26522 )) multiplex_graph }) <<<<<<< HEAD ======= set.seed(9000) >>>>>>> 7d904bd98ec75ea8cc9bda7b50896458b3c26522 test_that("run with ModularityVertexPartition multiplexed", { skip_if_no_python() partition <- leiden(multiplex_graph, partition_type = "ModularityVertexPartition", resolution_parameter = 0.1, degree_as_node_size = TRUE, seed = 9001) expect_length(partition, length(V(multiplex_graph[[1]]))) expect_equal(sort(unique(partition)), 1:6) <<<<<<< HEAD expect_equal(partition, c(3, 3, 1, 4, 3, 4, 4, 3, 1, 4, 4, 3, 3, 4, 4, 4, 1, 1, 2, 3, 1, 3, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 5, 5, 3, 3, 3, 1, 5, 3, 1, 1, 1, 1, 1, 1, 1, 5, 5, 5, 1, 1, 1, 5, 6, 5)) }) ======= expect_equal(table(partition), structure(c(`1` = 15L, `2` = 13L, `3` = 13L, `4` = 11L, `5` = 8L, `6` = 1L), .Dim = 6L, .Dimnames = list(partition = c("1", "2", "3", "4", "5", "6")), class = "table")) expect_equal(partition, c(4, 2, 4, 4, 2, 4, 4, 2, 1, 4, 4, 2, 2, 4, 4, 4, 1, 1, 3, 2, 2, 2, 1, 3, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 5, 5, 2, 2, 2, 1, 5, 2, 1, 1, 1, 1, 1, 1, 1, 5, 5, 5, 1, 4, 1, 5, 6, 5)) }) set.seed(9000) >>>>>>> 7d904bd98ec75ea8cc9bda7b50896458b3c26522 test_that("run with ModularityVertexPartition multiplexed and max_comm_size", { skip_if_no_python() partition <- leiden(multiplex_graph, partition_type = "ModularityVertexPartition", resolution_parameter = 0.1, max_comm_size = 8, degree_as_node_size = TRUE, seed = 9001) expect_length(partition, length(V(multiplex_graph[[1]]))) expect_equal(sort(unique(partition)), 1:10) expect_equal(max(table(partition)), 8) <<<<<<< HEAD expect_equal(partition, c(4, 4, 2, 3, 8, 3, 3, 4, 2, 3, 3, 8, 8, 3, 3, 3, 6, 6, 5, 8, 2, 8, 6, 7, 2, 5, 5, 5, 7, 5, 7, 7, 5, 5, 7, 5, 4, 1, 1, 4, 4, 4, 2, 1, 4, 6, 6, 6, 6, 9, 2, 6, 1, 1, 1, 2, 2, 7, 1, 10, 1)) ======= expect_equal(table(partition), structure(c(`1` = 8L, `2` = 8L, `3` = 8L, `4` = 8L, `5` = 8L, `6` = 8L, `7` = 6L, `8` = 5L, `9` = 1L, `10` = 1L), .Dim = 10L, .Dimnames = list( partition = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10")), class = "table")) >>>>>>> 7d904bd98ec75ea8cc9bda7b50896458b3c26522 })