test_that("OptimInstanceBatchMultiCrit", { inst = MAKE_INST_2D_2D(20L) expect_snapshot(inst) expect_r6(inst$archive, "Archive") expect_data_table(inst$archive$data, nrows = 0L) expect_identical(inst$archive$n_evals, 0L) expect_identical(inst$archive$n_batch, 0L) xdt = data.table(x1 = c(-1, -1, -1), x2 = c(1, 0, -1)) expect_named(inst$eval_batch(xdt), c("y1", "y2")) expect_data_table(inst$archive$data, nrows = 3L) expect_equal(inst$archive$data$y1, c(1, 1, 1)) expect_equal(inst$archive$data$y2, c(-1, 0, -1)) expect_identical(inst$archive$n_evals, 3L) expect_identical(inst$archive$n_batch, 1L) expect_equal(inst$archive$best()$y2, 0) expect_null(inst$result) xdt = data.table(x1 = c(0, 0), x2 = c(list(0), list(0))) ydt = data.table(y1 = c(-10, -10), y2 = c(10, 10)) inst$assign_result(xdt = xdt, ydt = ydt) expect_equal(inst$result_x_search_space, xdt) expect_equal(inst$result_y, ydt) expect_equal(inst$result_x_domain, replicate(n = 2, list(x1 = 0, x2 = 0), simplify = FALSE)) }) test_that("OptimInstanceBatchMultiCrit with 1 Crit", { tt = trm("evals", n_evals = 5) inst = OptimInstanceBatchMultiCrit$new(objective = OBJ_2D, search_space = PS_2D, terminator = tt) optimizer = OptimizerBatchRandomSearch$new() optimizer$optimize(inst) expect_data_table(inst$result_y, ncols = 1) expect_data_table(inst$result_x_search_space) }) test_that("Terminator assertions work", { terminator = trm("perf_reached") expect_error(MAKE_INST_2D_2D(terminator)) }) test_that("objective_function works", { terminator = terminator = trm("evals", n_evals = 100) inst = MAKE_INST_2D_2D(terminator = terminator) y = inst$objective_function(c(1, 1)) expect_equal(y, c(y1 = 1, y2 = 1)) }) test_that("OptimInstanceBatchMultiCrit works with empty search space", { fun = function(xs) { c(y = 10 + sample(c(0, 1), 1), z = 20 + sample(c(0, 1), 1)) } domain = ps() codomain = ps(y = p_dbl(tags = "minimize"), z = p_dbl(tags = "maximize")) # objective objective = ObjectiveRFun$new(fun, domain, codomain) expect_numeric(objective$eval(list())) # instance instance = OptimInstanceBatchMultiCrit$new(objective, terminator = trm("evals", n_evals = 20)) instance$eval_batch(data.table()) expect_data_table(instance$archive$data, nrows = 1) # optimizer lenght(y) > 1 instance = OptimInstanceBatchMultiCrit$new(objective, terminator = trm("evals", n_evals = 20)) optimizer = opt("random_search") optimizer$optimize(instance) expect_data_table(instance$archive$data, nrows = 20) expect_equal(instance$result$x_domain[[1]], list()) # optimizer lenght(y) == 1 instance = OptimInstanceBatchMultiCrit$new(objective, terminator = trm("evals", n_evals = 1)) optimizer = opt("random_search") optimizer$optimize(instance) expect_data_table(instance$archive$data, nrows = 1) expect_equal(instance$result$x_domain[[1]], list()) })