fix: workaround for internal tuned values

DESCRIPTION

@@ -53,7 +53,7 @@ Encoding: UTF-8
 Language: en-US
 NeedsCompilation: no
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 Collate:
     'Archive.R'
     'ArchiveAsync.R'

R/OptimInstanceAsyncMultiCrit.R

@@ -50,8 +50,10 @@ OptimInstanceAsyncMultiCrit = R6Class("OptimInstanceAsyncMultiCrit",
     #' For internal use.
     #'
     #' @param ydt (`numeric(1)`)\cr
-    #'  Optimal outcomes, e.g. the Pareto front.
-    assign_result = function(xdt, ydt) {
+    #' Optimal outcomes, e.g. the Pareto front.
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, ydt, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())

R/OptimInstanceAsyncSingleCrit.R

@@ -52,7 +52,9 @@ OptimInstanceAsyncSingleCrit = R6Class("OptimInstanceAsyncSingleCrit",
     #'
     #' @param y (`numeric(1)`)\cr
     #' Optimal outcome.
-    assign_result = function(xdt, y) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, y, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())

R/OptimInstanceBatchMultiCrit.R

@@ -44,7 +44,9 @@ OptimInstanceBatchMultiCrit = R6Class("OptimInstanceBatchMultiCrit",
     #' The [Optimizer] object writes the best found points
     #' and estimated performance values here (probably the Pareto set / front).
     #' For internal use.
-    assign_result = function(xdt, ydt) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, ydt, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())

R/OptimInstanceBatchSingleCrit.R

@@ -50,7 +50,9 @@ OptimInstanceBatchSingleCrit = R6Class("OptimInstanceBatchSingleCrit",
     #'
     #' @param y (`numeric(1)`)\cr
     #' Optimal outcome.
-    assign_result = function(xdt, y) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, y, ...) {
       # FIXME: We could have one way that just lets us put a 1xn DT as result directly.
       assert_data_table(xdt)
       assert_names(names(xdt), must.include = self$search_space$ids())

R/Optimizer.R

@@ -165,9 +165,11 @@ Optimizer = R6Class("Optimizer",
 #' @export
 assign_result_default = function(inst) {
   assert_r6(inst, "OptimInstance")
+
   res = inst$archive$best()
   ids = inst$search_space$ids()
-  if ("keys" %in% names(res)) ids = c(ids, "keys")
+  # workaround until ... works
+  if ("internal_tuned_values" %in% names(res)) ids = c(ids, "internal_tuned_values")
   xdt = res[, ids, with = FALSE]
 
   if (inherits(inst, "OptimInstanceBatchMultiCrit") || inherits(inst, "OptimInstanceAsyncMultiCrit")) {