runTestShowCloneHighlight <- function() { get(data("combined_pbmc")) %>% vizAPOTC( clonecall = "aa", seurat_clusters = c(5, 9), retain_axis_scales = TRUE, add_size_legend = FALSE, verbose = FALSE ) %>% showCloneHighlight(c( "CASLSGSARQLTF_CASSPTVAGEQFF", "CAELNQAGTALIF_CASSQAPFSTSGELFF" )) } test_that("vdiffr test of showCloneHighlight works", { #skip_on_ci() # there is no visually distinguishable difference in the artifact expect_doppelganger( "showCloneHighlight_only_clusters_5_9", runTestShowCloneHighlight() ) }) test_that("showCloneHighlight works", { test_cl_5_9_highlighted_data <- get_ggplot_data(runTestShowCloneHighlight()) # check the cluster, clonotype (and its color), and corresponding radii # are setequal since order doesn't matter expect_equal( object = test_cl_5_9_highlighted_data %>% dplyr::select(label, color, clonotype, r) %>% dplyr::arrange(clonotype), expected = getdata( "showCloneHighlight", "cl_5_9_highlighted_data" ) %>% dplyr::select(label, color, clonotype, r) %>% dplyr::arrange(clonotype) ) # check that for each cluster and radii sets, there are setequal (x, y) # pairs since it would be geometrically equal expect_equal( object = test_cl_5_9_highlighted_data %>% dplyr::select(label, x, y, r) %>% dplyr::arrange(x, y), expected = getdata( "showCloneHighlight", "cl_5_9_highlighted_data" ) %>% dplyr::select(label, x, y, r) %>% dplyr::arrange(x, y), tolerance = 1e-5 ) # TODO test S4 also present in scRepertoire # TODO test missing clonotypes expect_warning( vizAPOTC( combined_pbmc, clonecall = "aa", verbose = FALSE ) %>% showCloneHighlight( c("CASLSGSARQLTF_CASSPTVAGEQFF", "CAELNQAGTALIF_CASSQAPFSTSGELFF"), color_each = FALSE, default_color = NULL, scale_bg = 1 ) ) })