tests/testthat/test_brush.R

In csoneson/iSEE: Interactive SummarizedExperiment Explorer

# library(iSEE); library(testthat); source("setup_lasso.R"); source("test_brush.R")

context("brush")

# .identical_brushes ----

test_that(".identical_brushes works as expected", {
    example <- list(xmin = 8.0882520175732, xmax = 43.722129933505, ymin = -4.2882334274045, ymax = 39.525409385225,
        coords_css = list(xmin = 283.009614944458, xmax = 416.009614944458, ymin = 75.0096130371094,
            ymax = 230.009613037109), coords_img = list(xmin = 367.916474130582, xmax = 540.818342036981,
            ymin = 97.5124933715051, ymax = 299.012485980529), img_css_ratio = list(x = 1.30001404440901,
            y = 1.29999995231628), mapping = list(x = "X", y = "Y"), domain = list(left = -57.2288623709444,
            right = 49.1019902822796, bottom = -70.389479254644, top = 53.5190834641125),
        range = list(left = 50.986301369863, right = 566.922374429224, bottom = 603.013698630137,
            top = 33.1552511415525), log = list(x = NULL, y = NULL), direction = "xy",
        brushId = "ReducedDimensionPlot1_Brush", outputId = "ReducedDimensionPlot1")

    expect_true(iSEE:::.identical_brushes(old_brush=NULL, new_brush=NULL))
    expect_false(iSEE:::.identical_brushes(old_brush=NULL, new_brush=example))
    expect_false(iSEE:::.identical_brushes(old_brush=example, new_brush=NULL))
    expect_true(iSEE:::.identical_brushes(old_brush=example, new_brush=example))

    # Confirming correct failure.
    expect_false(iSEE:::.identical_brushes(list(xmin=1, xmax=2, ymin=10, ymax=20),
        list(xmin=1, xmax=2, ymin=11, ymax=20)))
    expect_false(iSEE:::.identical_brushes(list(xmin=1, xmax=2, ymin=10, ymax=20),
        list(xmin=1, xmax=2, ymin=10, ymax=21)))
    expect_false(iSEE:::.identical_brushes(list(xmin=1, xmax=2, ymin=10, ymax=20),
        list(xmin=0, xmax=2, ymin=10, ymax=20)))
    expect_false(iSEE:::.identical_brushes(list(xmin=1, xmax=2, ymin=10, ymax=20),
        list(xmin=1, xmax=3, ymin=10, ymax=20)))

    # Robust to small deviations.
    example2 <- example
    example2$xmin <- example2$xmin + 1e-8
    expect_true(iSEE:::.identical_brushes(old_brush=example, new_brush=example2))

    expect_true(iSEE:::.identical_brushes(list(xmin=1, xmax=2, ymin=10, ymax=20),
        list(xmin=1, xmax=2.0000001, ymin=10, ymax=20)))
    expect_false(iSEE:::.identical_brushes(list(xmin=1, xmax=2, ymin=10, ymax=20),
        list(xmin=1, xmax=2.0001, ymin=10, ymax=20)))
})

test_that(".transmitted_selection detects whether a brush is active", {
    memory <- list(
        ReducedDimensionPlot(),
        ColumnDataPlot(ColumnSelectionSource="ReducedDimensionPlot1"),
        FeatureAssayPlot(ColumnSelectionSource="ColumnDataPlot1")
    )

    pObjects <- mimic_live_app(sce, memory)
    all_memory <- pObjects$memory

    # No point selection
    all_memory$ReducedDimensionPlot1[[iSEE:::.brushData]] <- list()
    out <- iSEE:::.transmitted_selection("ReducedDimensionPlot1", all_memory)
    expect_false(out)

    # Active point selection (non-empty brush or lasso)
    all_memory$ReducedDimensionPlot1[[iSEE:::.brushData]] <- list(a=1, b=2)
    out <- iSEE:::.transmitted_selection("ReducedDimensionPlot1", all_memory)
    expect_true(out)

    # Panel linked to no transmitter (---)
    out <- iSEE:::.transmitted_selection("---", all_memory)
    expect_false(out)

    # missing "select_type" argument requires to "SelectMultiSaved"
    all_memory$ReducedDimensionPlot1[[iSEE:::.multiSelectHistory]] <- list(list(a=1, b=2))
    out <- iSEE:::.transmitted_selection("ReducedDimensionPlot1", all_memory)
    expect_true(out)
})

test_that(".identical_brushes returns FALSE is for two different open lassos", {

    LASSO_OPEN2 <- LASSO_OPEN
    LASSO_OPEN2$coord <- head(LASSO_OPEN2$coord, 2)

    out <- .identical_brushes(old_brush = LASSO_OPEN, new_brush = LASSO_OPEN2)
    expect_false(out)

})

test_that(".get_brushed_point returns the identity of selected points or NULL", {

    contents <- data.frame(X=1, Y=seq_len(100), row.names = paste0("X", seq_len(100)))

    # Shiny brush
    brush_data <- list(
        xmin = 0.7, xmax = 1.3, ymin = 0.5, ymax = 50.5,
        mapping = list(x = "X", y = "Y"),
        log = list(x = NULL, y = NULL), direction = "xy",
        brushId = "ReducedDimensionPlot1_Brush",
        outputId = "ReducedDimensionPlot1")
    out <- .get_brushed_points(contents, brush_data)
    expect_identical(out, paste0("X", seq_len(50)))

    # lasso
    lasso_data <- list(
        lasso=NULL,
        closed=TRUE,
        panelvar1=NULL, panelvar2=NULL,
        mapping=list(x="X", y="Y"),
        coord=matrix(c(
            0.7, 0.5,
            1.3, 0.5,
            1.3, 50.5,
            0.7, 50.5,
            0.7, 0.5), ncol=2, byrow = TRUE))
    out <- .get_brushed_points(contents, lasso_data)
    expect_identical(out, paste0("X", seq_len(50)))

    # NULL if not a brush or a closed lasso
    out <- .get_brushed_points(contents, list())
    expect_null(out)

})