# This tests the various class set-up methods.
# library(testthat); library(iSEE); source('setup_sce.R'); source('test_FeatureAssayPlot.R')
test_that(".refineParameters identifies impossible FeatureAssayPlot", {
x <- FeatureAssayPlot()
sce0 <- sce[0, ]
sce0 <- .cacheCommonInfo(x, sce0)
expect_warning(out <- .refineParameters(x, sce0),
"no rows available for plotting 'FeatureAssayPlot'", fixed=TRUE)
expect_null(out)
sce0 <- sce
assays(sce0) <- List()
sce0 <- .cacheCommonInfo(x, sce0)
expect_warning(out <- .refineParameters(x, sce0),
"no valid 'assays' for plotting 'FeatureAssayPlot'", fixed=TRUE)
expect_null(out)
sce0 <- sce
colData(sce0) <- colData(sce0)[,0]
x[[iSEE:::.featAssayXAxis]] <- iSEE:::.featAssayXAxisColDataTitle
sce0 <- .cacheCommonInfo(x, sce0)
out <- .refineParameters(x, sce0)
expect_identical(out[[iSEE:::.featAssayXAxis]], iSEE:::.featAssayXAxisNothingTitle)
})
test_that(".generateDotPlotData works with column selections on the x-axis", {
x <- FeatureAssayPlot()
x[[iSEE:::.featAssayXAxis]] <- iSEE:::.featAssayXAxisSelectionsTitle
sce <- .cacheCommonInfo(x, sce)
x <- .refineParameters(x, sce)
# First trying empty.
env <- new.env()
env$se <- sce
out <- .generateDotPlotData(x, env)
expect_match(out$commands["x"], "multiSelectionToFactor.list")
expect_true(unique(env$plot.data$X)=="unselected")
# Now trying with something inside.
env$col_selected <- list(active=head(colnames(sce)))
out <- .generateDotPlotData(x, env)
expect_match(out$commands["x"], "multiSelectionToFactor.*col_selected")
expect_true(all(head(env$plot.data$X)=='active'))
expect_true(all(tail(env$plot.data$X, -6)=='unselected'))
})
test_that(".multiSelectionInvalidated works correctly", {
expect_false(.multiSelectionInvalidated(FeatureAssayPlot()))
expect_true(.multiSelectionInvalidated(FeatureAssayPlot(XAxis="Column selection")))
# Dispatches correctly to the parent method.
expect_true(.multiSelectionInvalidated(FeatureAssayPlot(FacetRowBy="Column selection")))
})
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