Running ‘testthat.R’ [121s/238s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("checkmate")
  +   library("mlr3hyperband")
  +   test_check("mlr3hyperband")
  + }
  Loading required package: mlr3tuning
  Loading required package: mlr3
  Loading required package: paradox
  Saving _problems/test_TunerBatchHyperband-7.R
  Saving _problems/test_TunerBatchHyperband-16.R
  Saving _problems/test_TunerBatchHyperband-25.R
  Saving _problems/test_TunerBatchHyperband-34.R
  Saving _problems/test_TunerBatchHyperband-47.R
  Saving _problems/test_TunerBatchHyperband-58.R
  Saving _problems/test_TunerBatchHyperband-68.R
  Saving _problems/test_TunerBatchHyperband-82.R
  Saving _problems/test_TunerBatchHyperband-167.R
  Saving _problems/test_TunerBatchHyperband-178.R
  Saving _problems/test_TunerBatchHyperband-189.R
  Saving _problems/test_TunerBatchHyperband-203.R
  Saving _problems/test_TunerBatchHyperband-219.R
  Saving _problems/test_TunerBatchHyperband-236.R
  Saving _problems/test_TunerBatchSuccessiveHalving-7.R
  Saving _problems/test_TunerBatchSuccessiveHalving-16.R
  Saving _problems/test_TunerBatchSuccessiveHalving-25.R
  Saving _problems/test_TunerBatchSuccessiveHalving-34.R
  Saving _problems/test_TunerBatchSuccessiveHalving-43.R
  Saving _problems/test_TunerBatchSuccessiveHalving-65.R
  Saving _problems/test_TunerBatchSuccessiveHalving-76.R
  Saving _problems/test_TunerBatchSuccessiveHalving-85.R
  Saving _problems/test_TunerBatchSuccessiveHalving-96.R
  Saving _problems/test_TunerBatchSuccessiveHalving-181.R
  Saving _problems/test_TunerBatchSuccessiveHalving-191.R
  Saving _problems/test_TunerBatchSuccessiveHalving-201.R
  Saving _problems/test_TunerBatchSuccessiveHalving-215.R
  Saving _problems/test_TunerBatchSuccessiveHalving-231.R
  Saving _problems/test_TunerBatchSuccessiveHalving-248.R
  Saving _problems/test_TunerBatchSuccessiveHalving-259.R
  Saving _problems/test_TunerBatchSuccessiveHalving-268.R
  Saving _problems/test_TunerBatchSuccessiveHalving-277.R
  [ FAIL 32 | WARN 0 | SKIP 1 | PASS 36 ]
  
  ══ Skipped tests (1) ═══════════════════════════════════════════════════════════
  • On CRAN (1): 'test_TunerAsyncSuccessiveHalving.R:1:1'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test_TunerBatchHyperband.R:7:3'): TunerBatchHyperband works ─────────
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerBatchHyperband.R:7:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:16:3'): TunerBatchHyperband works with minimum budget > 1 ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerBatchHyperband.R:16:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:25:3'): TunerBatchHyperband rounds budget ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerBatchHyperband.R:25:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:34:3'): TunerBatchHyperband works with eta = 2.5 ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2.5, learner) at test_TunerBatchHyperband.R:34:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:47:3'): TunerBatchHyperband works with xgboost ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerBatchHyperband.R:47:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:58:3'): TunerBatchHyperband works with subsampling ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 3, graph_learner) at test_TunerBatchHyperband.R:58:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:68:3'): TunerBatchHyperband works works with multi-crit ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerBatchHyperband.R:68:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:82:3'): TunerBatchHyperband works with custom sampler ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner, sampler = sampler) at test_TunerBatchHyperband.R:82:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:167:3'): TunerBatchHyperband minimizes measure ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerBatchHyperband.R:167:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:178:3'): TunerBatchHyperband maximizes measure ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerBatchHyperband.R:178:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:189:3'): TunerBatchHyperband works with single budget value ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerBatchHyperband.R:189:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:26:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:198:3'): TunerBatchHyperband works with repetitions ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3tuning::tune(...) at test_TunerBatchHyperband.R:198:3
    2.   └─tuner$optimize(instance)
    3.     └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    4.       └─private$.optimizer$optimize(inst)
    5.         └─bbotk:::.__OptimizerBatch__optimize(...)
    6.           └─bbotk::optimize_batch_default(inst, self)
    7.             ├─base::tryCatch(...)
    8.             │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
    9.             │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   10.             │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   11.             └─get_private(optimizer)$.optimize(instance)
   12.               └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   13.                 └─inst$eval_batch(xdt)
   14.                   └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   15.                     └─self$objective$eval_many(xss_trafoed)
   16.                       └─bbotk:::.__Objective__eval_many(...)
   17.                         ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   18.                         │ └─base::eval.parent(expr, n = 1L)
   19.                         │   └─base::eval(expr, p)
   20.                         │     └─base::eval(expr, p)
   21.                         └─private$.eval_many(xss = xss, resampling = `<list>`)
   22.                           └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   23.                             └─mlr3::benchmark(...)
   24.                               └─ResultData$new(grid, data_extra, store_backends = store_backends)
   25.                                 └─mlr3 (local) initialize(...)
   26.                                   └─mlr3:::.__ResultData__initialize(...)
   27.                                     ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   28.                                     └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:214:3'): TunerBatchHyperband terminates itself ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3tuning::tune(...) at test_TunerBatchHyperband.R:214:3
    2.   └─tuner$optimize(instance)
    3.     └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    4.       └─private$.optimizer$optimize(inst)
    5.         └─bbotk:::.__OptimizerBatch__optimize(...)
    6.           └─bbotk::optimize_batch_default(inst, self)
    7.             ├─base::tryCatch(...)
    8.             │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
    9.             │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   10.             │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   11.             └─get_private(optimizer)$.optimize(instance)
   12.               └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   13.                 └─inst$eval_batch(xdt)
   14.                   └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   15.                     └─self$objective$eval_many(xss_trafoed)
   16.                       └─bbotk:::.__Objective__eval_many(...)
   17.                         ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   18.                         │ └─base::eval.parent(expr, n = 1L)
   19.                         │   └─base::eval(expr, p)
   20.                         │     └─base::eval(expr, p)
   21.                         └─private$.eval_many(xss = xss, resampling = `<list>`)
   22.                           └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   23.                             └─mlr3::benchmark(...)
   24.                               └─ResultData$new(grid, data_extra, store_backends = store_backends)
   25.                                 └─mlr3 (local) initialize(...)
   26.                                   └─mlr3:::.__ResultData__initialize(...)
   27.                                     ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   28.                                     └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchHyperband.R:230:3'): TunerBatchHyperband works with infinite repetitions ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3tuning::tune(...) at test_TunerBatchHyperband.R:230:3
    2.   └─tuner$optimize(instance)
    3.     └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    4.       └─private$.optimizer$optimize(inst)
    5.         └─bbotk:::.__OptimizerBatch__optimize(...)
    6.           └─bbotk::optimize_batch_default(inst, self)
    7.             ├─base::tryCatch(...)
    8.             │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
    9.             │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   10.             │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   11.             └─get_private(optimizer)$.optimize(instance)
   12.               └─mlr3hyperband:::.__OptimizerBatchHyperband__.optimize(...)
   13.                 └─inst$eval_batch(xdt)
   14.                   └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   15.                     └─self$objective$eval_many(xss_trafoed)
   16.                       └─bbotk:::.__Objective__eval_many(...)
   17.                         ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   18.                         │ └─base::eval.parent(expr, n = 1L)
   19.                         │   └─base::eval(expr, p)
   20.                         │     └─base::eval(expr, p)
   21.                         └─private$.eval_many(xss = xss, resampling = `<list>`)
   22.                           └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   23.                             └─mlr3::benchmark(...)
   24.                               └─ResultData$new(grid, data_extra, store_backends = store_backends)
   25.                                 └─mlr3 (local) initialize(...)
   26.                                   └─mlr3:::.__ResultData__initialize(...)
   27.                                     ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   28.                                     └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:7:3'): TunerBatchSuccessiveHalving works ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:7:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:16:3'): TunerBatchSuccessiveHalving works with minimum budget > 1 ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:16:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:25:3'): TunerBatchSuccessiveHalving rounds budget ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:25:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:34:3'): TunerBatchSuccessiveHalving works with eta = 2.5 ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:34:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:43:3'): TunerBatchSuccessiveHalving adjusts minimum budget ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:43:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:65:3'): TunerBatchSuccessiveHalving works with xgboost ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:65:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:76:3'): TunerBatchSuccessiveHalving works with subsampling ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:76:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:85:3'): TunerBatchSuccessiveHalving works with multi-crit ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:85:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:96:3'): TunerBatchSuccessiveHalving works with custom sampler ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:96:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:181:3'): TunerBatchSuccessiveHalving minimizes measure ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:181:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:191:3'): TunerBatchSuccessiveHalving maximizes measure ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:191:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:201:3'): TunerBatchSuccessiveHalving works with single budget value ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:201:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:210:3'): TunerBatchSuccessiveHalving works with repetitions ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3tuning::tune(...) at test_TunerBatchSuccessiveHalving.R:210:3
    2.   └─tuner$optimize(instance)
    3.     └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    4.       └─private$.optimizer$optimize(inst)
    5.         └─bbotk:::.__OptimizerBatch__optimize(...)
    6.           └─bbotk::optimize_batch_default(inst, self)
    7.             ├─base::tryCatch(...)
    8.             │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
    9.             │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   10.             │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   11.             └─get_private(optimizer)$.optimize(instance)
   12.               └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   13.                 └─inst$eval_batch(xdt)
   14.                   └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   15.                     └─self$objective$eval_many(xss_trafoed)
   16.                       └─bbotk:::.__Objective__eval_many(...)
   17.                         ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   18.                         │ └─base::eval.parent(expr, n = 1L)
   19.                         │   └─base::eval(expr, p)
   20.                         │     └─base::eval(expr, p)
   21.                         └─private$.eval_many(xss = xss, resampling = `<list>`)
   22.                           └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   23.                             └─mlr3::benchmark(...)
   24.                               └─ResultData$new(grid, data_extra, store_backends = store_backends)
   25.                                 └─mlr3 (local) initialize(...)
   26.                                   └─mlr3:::.__ResultData__initialize(...)
   27.                                     ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   28.                                     └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:226:3'): TunerBatchSuccessiveHalving terminates itself ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3tuning::tune(...) at test_TunerBatchSuccessiveHalving.R:226:3
    2.   └─tuner$optimize(instance)
    3.     └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    4.       └─private$.optimizer$optimize(inst)
    5.         └─bbotk:::.__OptimizerBatch__optimize(...)
    6.           └─bbotk::optimize_batch_default(inst, self)
    7.             ├─base::tryCatch(...)
    8.             │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
    9.             │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   10.             │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   11.             └─get_private(optimizer)$.optimize(instance)
   12.               └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   13.                 └─inst$eval_batch(xdt)
   14.                   └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   15.                     └─self$objective$eval_many(xss_trafoed)
   16.                       └─bbotk:::.__Objective__eval_many(...)
   17.                         ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   18.                         │ └─base::eval.parent(expr, n = 1L)
   19.                         │   └─base::eval(expr, p)
   20.                         │     └─base::eval(expr, p)
   21.                         └─private$.eval_many(xss = xss, resampling = `<list>`)
   22.                           └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   23.                             └─mlr3::benchmark(...)
   24.                               └─ResultData$new(grid, data_extra, store_backends = store_backends)
   25.                                 └─mlr3 (local) initialize(...)
   26.                                   └─mlr3:::.__ResultData__initialize(...)
   27.                                     ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   28.                                     └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:242:3'): TunerBatchSuccessiveHalving works with infinite repetitions ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3tuning::tune(...) at test_TunerBatchSuccessiveHalving.R:242:3
    2.   └─tuner$optimize(instance)
    3.     └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    4.       └─private$.optimizer$optimize(inst)
    5.         └─bbotk:::.__OptimizerBatch__optimize(...)
    6.           └─bbotk::optimize_batch_default(inst, self)
    7.             ├─base::tryCatch(...)
    8.             │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
    9.             │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   10.             │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   11.             └─get_private(optimizer)$.optimize(instance)
   12.               └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   13.                 └─inst$eval_batch(xdt)
   14.                   └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   15.                     └─self$objective$eval_many(xss_trafoed)
   16.                       └─bbotk:::.__Objective__eval_many(...)
   17.                         ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   18.                         │ └─base::eval.parent(expr, n = 1L)
   19.                         │   └─base::eval(expr, p)
   20.                         │     └─base::eval(expr, p)
   21.                         └─private$.eval_many(xss = xss, resampling = `<list>`)
   22.                           └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   23.                             └─mlr3::benchmark(...)
   24.                               └─ResultData$new(grid, data_extra, store_backends = store_backends)
   25.                                 └─mlr3 (local) initialize(...)
   26.                                   └─mlr3:::.__ResultData__initialize(...)
   27.                                     ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   28.                                     └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:259:3'): TunerBatchSuccessiveHalving works with r_max > n ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:259:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:268:3'): TunerBatchSuccessiveHalving works with r_max < n ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:268:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  ── Error ('test_TunerBatchSuccessiveHalving.R:277:3'): TunerBatchSuccessiveHalving works with r_max < n and adjust minimum budget ──
  Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
  Backtrace:
       ▆
    1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerBatchSuccessiveHalving.R:277:3
    2.   └─mlr3tuning::tune(...) at ./helper.R:61:3
    3.     └─tuner$optimize(instance)
    4.       └─mlr3tuning:::.__TunerBatchFromOptimizerBatch__optimize(...)
    5.         └─private$.optimizer$optimize(inst)
    6.           └─bbotk:::.__OptimizerBatch__optimize(...)
    7.             └─bbotk::optimize_batch_default(inst, self)
    8.               ├─base::tryCatch(...)
    9.               │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   10.               │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   11.               │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   12.               └─get_private(optimizer)$.optimize(instance)
   13.                 └─mlr3hyperband:::.__OptimizerBatchSuccessiveHalving__.optimize(...)
   14.                   └─inst$eval_batch(xdt)
   15.                     └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
   16.                       └─self$objective$eval_many(xss_trafoed)
   17.                         └─bbotk:::.__Objective__eval_many(...)
   18.                           ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
   19.                           │ └─base::eval.parent(expr, n = 1L)
   20.                           │   └─base::eval(expr, p)
   21.                           │     └─base::eval(expr, p)
   22.                           └─private$.eval_many(xss = xss, resampling = `<list>`)
   23.                             └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
   24.                               └─mlr3::benchmark(...)
   25.                                 └─ResultData$new(grid, data_extra, store_backends = store_backends)
   26.                                   └─mlr3 (local) initialize(...)
   27.                                     └─mlr3:::.__ResultData__initialize(...)
   28.                                       ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
   29.                                       └─data.table:::`[.data.table`(...)
  
  [ FAIL 32 | WARN 0 | SKIP 1 | PASS 36 ]
  Error:
  ! Test failures.
  Execution halted