Running ‘testthat.R’ [221s/515s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("checkmate")
  +   library("testthat")
  +   library("mlr3")
  +   test_check("mlr3")
  + }
  Saving _problems/test_CallbackResample-4.R
  Saving _problems/test_CallbackResample-25.R
  Saving _problems/test_CallbackResample-45.R
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  Saving _problems/test_ContextEvaluation-2.R
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  Saving _problems/test_Learner-44.R
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  Saving _problems/test_LearnerClassif-3.R
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  Saving _problems/test_LearnerClassif-83.R
  Saving _problems/test_LearnerClassif-107.R
  Saving _problems/test_Measure-345.R
  Saving _problems/test_Measure-376.R
  Saving _problems/test_PredictionClassif-321.R
  Saving _problems/test_Task-426.R
  Saving _problems/test_Task-528.R
  Saving _problems/test_Task-539.R
  Saving _problems/test_Task-991.R
  Saving _problems/test_Task-1013.R
  Saving _problems/test_TaskClassif-122.R
  Saving _problems/test_benchmark-81.R
  Saving _problems/test_benchmark-164.R
  Saving _problems/test_benchmark-441.R
  Saving _problems/test_benchmark-667.R
  Saving _problems/test_benchmark-692.R
  Saving _problems/test_benchmark-845.R
  Saving _problems/test_encapsulate-143.R
  Saving _problems/test_hotstart-2.R
  Saving _problems/test_hotstart-18.R
  Saving _problems/test_hotstart-32.R
  Saving _problems/test_hotstart-49.R
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  Saving _problems/test_hotstart-129.R
  Saving _problems/test_hotstart-151.R
  Saving _problems/test_hotstart-180.R
  Saving _problems/test_hotstart-216.R
  Saving _problems/test_hotstart-239.R
  Saving _problems/test_mlr_callbacks-2.R
  Saving _problems/test_mlr_callbacks-19.R
  Saving _problems/test_mlr_learners_classif_debug-50.R
  Saving _problems/test_mlr_learners_classif_rpart-76.R
  Saving _problems/test_mlr_learners_regr_rpart-68.R
  Saving _problems/test_mlr_reflections-54.R
  Saving _problems/test_mlr_tasks-2.R
  Saving _problems/test_mlr_tasks-18.R
  Saving _problems/test_mlr_tasks-32.R
  Saving _problems/test_parallel_mirai-6.R
  Saving _problems/test_parallel_mirai-17.R
  Saving _problems/test_parallel_mirai-34.R
  Saving _problems/test_parallel_mirai-128.R
  Saving _problems/test_partition-2.R
  Saving _problems/test_partition-15.R
  Saving _problems/test_resample-532.R
  Saving _problems/test_resultdata-25.R
  Saving _problems/test_score_roc_measures-3.R
  [ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
  
  ══ Skipped tests (16) ══════════════════════════════════════════════════════════
  • Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
  • On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
    'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
    'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
    'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
    'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
  • empty test (1): 'test_Task.R:968:1'
  • {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test_CallbackResample.R:4:3'): on_resample_begin works ──────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:4:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:25:3'): on_resample_before_train works ──────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:25:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:45:3'): on_resample_before_predict works ────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:45:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:64:3'): on_resample_end works ───────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:64:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:86:3'): writing to learner$state works ──────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:86:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:117:3'): writing to data_extra works ────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:117:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:151:3'): data_extra is a list column ────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:151:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:170:3'): data_extra is null ─────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:170:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:199:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_CallbackResample.R:228:3'): returning data_extra sometimes works  ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_CallbackResample.R:228:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_ContextEvaluation.R:2:3'): ContextResample works ───────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_ContextEvaluation.R:2:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:2:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:18:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is equal ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:31:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:45:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner are equal ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:61:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:75:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:91:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:109:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:123:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:132:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is equal ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:147:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:162:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner are equal ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:179:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:195:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:210:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:229:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is equal ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:246:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:261:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner are equal ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:278:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:293:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:308:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:323:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:342:3'): HotstartStack add method works ────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:342:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:357:3'): copying state of learner works ────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:357:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:373:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:387:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_HotstartStack.R:398:3'): HotstartStack threshold works ─────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_HotstartStack.R:398:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Learner.R:44:3'): task is checked in train() / predict() ───────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─testthat::expect_error(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
    2. │ └─testthat:::expect_condition_matching_(...)
    3. │   └─testthat:::quasi_capture(...)
    4. │     ├─testthat (local) .capture(...)
    5. │     │ └─base::withCallingHandlers(...)
    6. │     └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
    7. ├─learner$train(tsk("pima"))
    8. │ └─mlr3:::.__Learner__train(...)
    9. │   ├─mlr3::assert_task(as_task(task))
   10. │   │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
   11. │   │   └─checkmate::checkClass(x, classes, ordered, null.ok)
   12. │   └─mlr3::as_task(task)
   13. └─mlr3::tsk("pima")
   14.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   15.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   16.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   17.         ├─base::do.call(constructor, cargs)
   18.         └─mlr3 (local) `<fn>`()
   19.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Learner.R:334:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response works ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_LearnerClassif.R:3:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_LearnerClassif.R:14:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob works ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_LearnerClassif.R:21:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_LearnerClassif.R:34:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_LearnerClassif.R:58:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_LearnerClassif.R:83:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_LearnerClassif.R:107:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Measure.R:345:3'): measure and prediction type is checked ──────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Measure.R:345:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Measure.R:376:3'): obs_loss works ──────────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Measure.R:376:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_PredictionClassif.R:321:3'): obs_loss works ────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_PredictionClassif.R:321:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Task.R:426:3'): task$missings() works ──────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Task.R:426:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Task.R:528:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Task.R:539:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Task.R:991:3'): row_hash works correctly ───────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Task.R:991:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_Task.R:1013:3'): row_ids_backend works correctly ───────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_Task.R:1013:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_TaskClassif.R:122:3'): offset column role works with binary tasks ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_TaskClassif.R:122:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
    2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
    3. │   └─checkmate::checkDataFrame(...)
    4. │     └─... %and% checkListTypes(x, types)
    5. │       └─base::isTRUE(lhs)
    6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
    7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
    8. │ │ └─checkmate::assert_list(tasks, types = "Task")
    9. │ │   └─checkmate::checkList(...)
   10. │ │     └─... %and% checkListTypes(x, types)
   11. │ │       └─base::isTRUE(lhs)
   12. │ └─mlr3::as_tasks(tasks)
   13. └─mlr_tasks$mget("pima")
   14.   ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
   15.   └─base::lapply(keys, self$get, ...)
   16.     └─mlr3misc (local) FUN(X[[i]], ...)
   17.       ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
   18.       │ └─base::eval.parent(expr, n = 1L)
   19.       │   └─base::eval(expr, p)
   20.       │     └─base::eval(expr, p)
   21.       └─mlr3misc:::dictionary_get(self = self, key = key)
   22.         └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   23.           ├─base::do.call(constructor, cargs)
   24.           └─mlr3 (local) `<fn>`()
   25.             └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_benchmark.R:164:3'): resampling validation in benchmark_grid ───
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_benchmark.R:164:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
   2.   └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
   3.     └─base::lapply(...)
   4.       └─mlr3misc (local) FUN(X[[i]], ...)
   5.         └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   6.           └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   7.             ├─base::do.call(constructor, cargs)
   8.             └─mlr3 (local) `<fn>`()
   9.               └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_benchmark.R:667:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─mlr3::benchmark_grid(...) at test_benchmark.R:692:3
    2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
    3. │ │ └─checkmate::assert_list(tasks, types = "Task")
    4. │ │   └─checkmate::checkList(...)
    5. │ │     └─... %and% checkListTypes(x, types)
    6. │ │       └─base::isTRUE(lhs)
    7. │ └─mlr3::as_tasks(tasks)
    8. └─mlr3::tsk("pima")
    9.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   10.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   11.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   12.         ├─base::do.call(constructor, cargs)
   13.         └─mlr3 (local) `<fn>`()
   14.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_benchmark.R:845:3'): resampling validation ─────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_benchmark.R:845:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_encapsulate.R:143:7'): mirai compute profile can be changed ────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. ├─global with_mirai(...) at test_encapsulate.R:140:3
   2. │ └─base::force(expr)
   3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
   4.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   5.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   6.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   7.         ├─base::do.call(constructor, cargs)
   8.         └─mlr3 (local) `<fn>`()
   9.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:2:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:18:3'): learner is directly returned when hotstart and target learner are equal ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:18:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:32:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:49:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:64:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:78:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:92:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:106:3'): learner is trained when the task is different ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:106:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:120:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:129:3'): learners are hotstarted when resample is used ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:129:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:151:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:180:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:216:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_hotstart.R:239:3'): hotstarting works when col role is set in task ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_hotstart.R:239:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_lgr.R:42:3'): logger works ─────────────────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─testthat::capture_output(...) at test_lgr.R:42:3
    2. │ └─testthat::capture_output_lines(code, print, width = width)
    3. │   └─testthat:::eval_with_output(code, print = print, width = width)
    4. │     ├─withr::with_output_sink(path, withVisible(code))
    5. │     │ └─base::force(code)
    6. │     └─base::withVisible(code)
    7. ├─mlr3::resample(...)
    8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
    9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
   10. │ │   └─checkmate::checkClass(x, classes, ordered, null.ok)
   11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
   12. └─mlr3::tsk("pima")
   13.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   14.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   15.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   16.         ├─base::do.call(constructor, cargs)
   17.         └─mlr3 (local) `<fn>`()
   18.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─testthat::capture_output(...) at test_lgr.R:72:3
    2. │ └─testthat::capture_output_lines(code, print, width = width)
    3. │   └─testthat:::eval_with_output(code, print = print, width = width)
    4. │     ├─withr::with_output_sink(path, withVisible(code))
    5. │     │ └─base::force(code)
    6. │     └─base::withVisible(code)
    7. ├─global with_future(...)
    8. │ └─base::force(expr)
    9. ├─mlr3::resample(...) at test_lgr.R:73:5
   10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
   11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
   12. │ │   └─checkmate::checkClass(x, classes, ordered, null.ok)
   13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
   14. └─mlr3::tsk("pima")
   15.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   16.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   17.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   18.         ├─base::do.call(constructor, cargs)
   19.         └─mlr3 (local) `<fn>`()
   20.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_callbacks.R:2:3'): model extractor works ───────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_mlr_callbacks.R:2:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_callbacks.R:19:3'): holdout task works ─────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_mlr_callbacks.R:19:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_learners_classif_debug.R:50:3'): default_values ────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_learners_classif_rpart.R:76:3'): default_values on rpart ───
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_learners_regr_rpart.R:68:3'): default_values on rpart ──────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_reflections.R:54:1'): (code run outside of `test_that()`) ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
  ── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
    2.   ├─checkmate::expect_data_table(...)
    3.   │ └─checkmate::checkDataTable(...)
    4.   ├─data.table::as.data.table(d)
    5.   └─mlr3:::as.data.table.DictionaryTask(d)
    6.     ├─data.table::setkeyv(...)
    7.     │ └─data.table::is.data.table(x)
    8.     └─mlr3misc::map_dtr(...)
    9.       ├─data.table::rbindlist(...)
   10.       ├─base::unname(map(.x, .f, ...))
   11.       └─mlr3misc::map(.x, .f, ...)
   12.         └─base::lapply(.x, .f, ...)
   13.           └─mlr3 (local) FUN(X[[i]], ...)
   14.             ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
   15.             │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   16.             │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   17.             │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   18.             └─x$get(key)
   19.               ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
   20.               │ └─base::eval.parent(expr, n = 1L)
   21.               │   └─base::eval(expr, p)
   22.               │     └─base::eval(expr, p)
   23.               └─mlr3misc:::dictionary_get(self = self, key = key)
   24.                 └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   25.                   ├─base::do.call(constructor, cargs)
   26.                   └─mlr3 (local) `<fn>`()
   27.                     └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
   2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
   3. │   └─checkmate::checkR6(...)
   4. └─mlr3 (local) fun()
   5.   └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
    2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
    3.   ├─data.table::setkeyv(...)
    4.   │ └─data.table::is.data.table(x)
    5.   └─mlr3misc::map_dtr(...)
    6.     ├─data.table::rbindlist(...)
    7.     ├─base::unname(map(.x, .f, ...))
    8.     └─mlr3misc::map(.x, .f, ...)
    9.       └─base::lapply(.x, .f, ...)
   10.         └─mlr3 (local) FUN(X[[i]], ...)
   11.           ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
   12.           │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   13.           │   └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   14.           │     └─base (local) doTryCatch(return(expr), name, parentenv, handler)
   15.           └─x$get(key)
   16.             ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
   17.             │ └─base::eval.parent(expr, n = 1L)
   18.             │   └─base::eval(expr, p)
   19.             │     └─base::eval(expr, p)
   20.             └─mlr3misc:::dictionary_get(self = self, key = key)
   21.               └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   22.                 ├─base::do.call(constructor, cargs)
   23.                 └─mlr3 (local) `<fn>`()
   24.                   └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
   2. │ └─base::force(expr)
   3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
   4.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   5.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   6.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   7.         ├─base::do.call(constructor, cargs)
   8.         └─mlr3 (local) `<fn>`()
   9.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_parallel_mirai.R:17:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
   2. │ └─base::force(expr)
   3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
   4.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   5.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   6.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   7.         ├─base::do.call(constructor, cargs)
   8.         └─mlr3 (local) `<fn>`()
   9.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
   2. │ └─base::force(expr)
   3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
   4.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   5.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   6.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   7.         ├─base::do.call(constructor, cargs)
   8.         └─mlr3 (local) `<fn>`()
   9.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_partition.R:2:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_partition.R:15:3'): partition three way split ──────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. └─mlr3::tsk("pima") at test_partition.R:15:3
   2.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   3.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   4.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   5.         ├─base::do.call(constructor, cargs)
   6.         └─mlr3 (local) `<fn>`()
   7.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_resample.R:532:3'): resampling instantiated on a different task throws an error ──
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─testthat::expect_error(...) at test_resample.R:532:3
    2. │ └─testthat:::expect_condition_matching_(...)
    3. │   └─testthat:::quasi_capture(...)
    4. │     ├─testthat (local) .capture(...)
    5. │     │ └─base::withCallingHandlers(...)
    6. │     └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
    7. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
    8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
    9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
   10. │ │   └─checkmate::checkClass(x, classes, ordered, null.ok)
   11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
   12. └─mlr3::tsk("pima")
   13.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   14.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   15.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   16.         ├─base::do.call(constructor, cargs)
   17.         └─mlr3 (local) `<fn>`()
   18.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
       ▆
    1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
    2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
    3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
    4. │ │   └─checkmate::checkClass(x, classes, ordered, null.ok)
    5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
    6. └─mlr3::tsk("pima")
    7.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
    8.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
    9.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   10.         ├─base::do.call(constructor, cargs)
   11.         └─mlr3 (local) `<fn>`()
   12.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  ── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
  Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
  Backtrace:
      ▆
   1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
   2. └─mlr3::tsk("pima")
   3.   └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
   4.     └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
   5.       └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
   6.         ├─base::do.call(constructor, cargs)
   7.         └─mlr3 (local) `<fn>`()
   8.           └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
  
  [ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
  Error:
  ! Test failures.
  Execution halted