Running ‘testthat.R’ [642s/531s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(checkmate) # for more expect_*() functions
  > library(mlr3proba)
  > 
  > test_check("mlr3proba")
  ── 1. Error: Internally constructed Prediction (@test_PredictionDens.R#12)  ────
  Distribution type must be provided.
  Backtrace:
    1. lrn$train(task)
    2. mlr3:::learner_train(self, task, row_ids)
    3. mlr3misc::encapsulate(...)
    8. mlr3:::.f(learner = <environment>, task = <environment>)
    9. learner$.__enclos_env__$private$.train(task)
   14. mlr3proba:::.histogram(dat = data)
   15. distr6::Distribution$new(...)
   16. .subset2(public_bind_env, "initialize")(...)
  
  ── 2. Error: c (@test_PredictionDens.R#18)  ────────────────────────────────────
  Distribution type must be provided.
  Backtrace:
   1. mlr3::resample(task, lrn, resampling)
   2. future.apply::future_lapply(...)
   3. future.apply:::future_xapply(...)
   5. future:::value.list(fs)
   7. future:::resolve.list(...)
   8. future:::signalConditionsASAP(obj, resignal = FALSE, pos = ii)
   9. future:::signalConditions(...)
  
  ── 3. Failure: autotest (@test_mlr_learners_density_hist.R#8)  ─────────────────
  `result` isn't true.
  [train()] learner 'dens.hist:pdf' on task 'feat_single_logical' failed: train log has errors: Distribution type must be provided.
  
  ── 4. Error: (unknown) (@test_mlr_learners_density_hist.R#16)  ─────────────────
  Distribution type must be provided.
  Backtrace:
    1. lrn$train(task)
    2. mlr3:::learner_train(self, task, row_ids)
    3. mlr3misc::encapsulate(...)
    8. mlr3:::.f(learner = <environment>, task = <environment>)
    9. learner$.__enclos_env__$private$.train(task)
   14. mlr3proba:::.histogram(dat = data, breaks = 5)
   15. distr6::Distribution$new(...)
   16. .subset2(public_bind_env, "initialize")(...)
  
  ── 5. Failure: autotest (@test_mlr_learners_density_kde.R#8)  ──────────────────
  `result` isn't true.
  [train()] learner 'dens.kde:pdf' on task 'feat_single_logical' failed: train log has errors: Distribution type must be provided.
  
  ── 6. Error: (unknown) (@test_mlr_learners_density_kde.R#15)  ──────────────────
  Distribution type must be provided.
  Backtrace:
    1. lrn$train(task)
    2. mlr3:::learner_train(self, task, row_ids)
    3. mlr3misc::encapsulate(...)
    8. mlr3:::.f(learner = <environment>, task = <environment>)
    9. learner$.__enclos_env__$private$.train(task)
   10. Distribution$new(...)
   11. .subset2(public_bind_env, "initialize")(...)
  
  ── 7. Failure: integrated_prob_losses (@test_mlr_measures.R#36)  ───────────────
  `prediction$score(lapply(probs, msr, integrated = TRUE))` produced warnings.
  
  ── 8. Failure: integrated_prob_losses (@test_mlr_measures.R#38)  ───────────────
  `prediction$score(lapply(probs, msr, integrated = TRUE, times = c(2:3)))` produced warnings.
  
  ── 9. Failure: integrated_prob_losses (@test_mlr_measures.R#39)  ───────────────
  `prediction$score(lapply(probs, msr, integrated = FALSE, times = 2))` produced warnings.
  
  ── 10. Error: mlr_measures (@test_mlr_measures_dens.R#14)  ─────────────────────
  Distribution type must be provided.
  Backtrace:
    1. mlr_learners$get("dens.hist")$train(task)
    2. mlr3:::learner_train(self, task, row_ids)
    3. mlr3misc::encapsulate(...)
    8. mlr3:::.f(learner = <environment>, task = <environment>)
    9. learner$.__enclos_env__$private$.train(task)
   14. mlr3proba:::.histogram(dat = data)
   15. distr6::Distribution$new(...)
   16. .subset2(public_bind_env, "initialize")(...)
  
  ── 11. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#1
  `which` cannot be `'all'` when vectorising.
  Backtrace:
    1. gr$predict(task)
    2. mlr3:::learner_predict(self, task, row_ids)
    3. mlr3misc::encapsulate(...)
    8. mlr3:::.f(task = <environment>, learner = <environment>)
    9. learner$predict_internal(task)
   10. self$graph$predict(task)
   11. mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
   12. op[[fun]](input)
   13. self$predict_internal(input)
   14. inpred$distr$mode()
   15. distr6:::f()
  
  ── 12. Failure: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcomp
  `expect_prediction_surv(gr$train(task)$predict(task))` produced messages.
  
  ══ testthat results  ═══════════════════════════════════════════════════════════
  [ OK: 1289 | SKIPPED: 9 | WARNINGS: 0 | FAILED: 12 ]
  1. Error: Internally constructed Prediction (@test_PredictionDens.R#12) 
  2. Error: c (@test_PredictionDens.R#18) 
  3. Failure: autotest (@test_mlr_learners_density_hist.R#8) 
  4. Error: (unknown) (@test_mlr_learners_density_hist.R#16) 
  5. Failure: autotest (@test_mlr_learners_density_kde.R#8) 
  6. Error: (unknown) (@test_mlr_learners_density_kde.R#15) 
  7. Failure: integrated_prob_losses (@test_mlr_measures.R#36) 
  8. Failure: integrated_prob_losses (@test_mlr_measures.R#38) 
  9. Failure: integrated_prob_losses (@test_mlr_measures.R#39) 
  1. ...
  
  Error: testthat unit tests failed
  Execution halted