Running 'testthat.R' [74s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(checkmate) # for more expect_*() functions
  > library(mlr3proba)
  > 
  > test_check("mlr3proba")
  == Skipped tests ===============================================================
  * On CRAN (2)
  
  == Failed tests ================================================================
  -- Error (test_PredictionSurv.R:10:3): Internally constructed Prediction -------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-lrn$train(task)$predict(task) test_PredictionSurv.R:10:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   12. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_PredictionSurv.R:18:3): c ---------------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
      x
   1. \-mlr3::resample(task, lrn, resampling) test_PredictionSurv.R:18:2
   2.   \-future.apply::future_lapply(...)
   3.     \-future.apply:::future_xapply(...)
   4.       +-future::value(fs)
   5.       \-future:::value.list(fs)
   6.         +-future::resolve(...)
   7.         \-future:::resolve.list(...)
   8.           \-future:::signalConditionsASAP(obj, resignal = FALSE, pos = ii)
   9.             \-future:::signalConditions(...)
  -- Error (test_PredictionSurv.R:47:3): data.frame roundtrip --------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-lrn("surv.coxph")$train(task)$predict(task) test_PredictionSurv.R:47:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvCoxPH__.predict(...)
   12. |             \-mlr3proba::.surv_return(...)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Failure (test_mlr_learners_surv_coxph.R:8:3): autotest ----------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [predict()] learner 'surv.coxph:distr' on task 'feat_single_logical' failed: predict log has errors: Dependency of 'cdf len x' failed.
  -- Failure (test_mlr_learners_surv_kaplan.R:6:3): autotest ---------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [predict()] learner 'surv.kaplan:crank' on task 'feat_single_logical' failed: predict log has errors: Dependency of 'cdf len x' failed.
  -- Error (test_mlr_measures.R:4:1): (code run outside of `test_that()`) --------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-learner$predict(task) test_mlr_measures.R:4:0
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvCoxPH__.predict(...)
   12. |             \-mlr3proba::.surv_return(...)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_mlr_measures_MeasureSurvIntegrated.R:46:3): training data for weights --
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-l$train(t, 1:50)$predict(t, 51:100) test_mlr_measures_MeasureSurvIntegrated.R:46:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   12. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_mlr_measures_MeasureSurvIntegrated.R:56:3): proper option -------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-l$train(tgen("simsurv")$generate(100))$predict(tgen("simsurv")$generate(50)) test_mlr_measures_MeasureSurvIntegrated.R:56:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   12. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipelines.R:10:3): crankcompositor ------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pipe$predict(task) test_pipelines.R:10:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.predict(...)
   12. |             \-self$graph$predict(task)
   13. |               \-mlr3pipelines:::.__Graph__predict(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__predict(...)
   17. |                       \-private$.predict(input)
   18. |                         \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
   19. |                           \-private$.learner$predict(task)
   20. |                             \-mlr3:::.__Learner__predict(...)
   21. |                               \-mlr3:::learner_predict(self, task, row_ids)
   22. |                                 \-mlr3misc::encapsulate(...)
   23. |                                   +-mlr3misc::invoke(...)
   24. |                                   | \-base::eval.parent(expr, n = 1L)
   25. |                                   |   \-base::eval(expr, p)
   26. |                                   |     \-base::eval(expr, p)
   27. |                                   \-mlr3:::.f(task = <environment>, learner = <environment>)
   28. |                                     \-get_private(learner)$.predict(task)
   29. |                                       \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   30. |                                         \-mlr3proba::.surv_return(times = times, surv = surv)
   31. |                                           \-distr6::VectorDistribution$new(...)
   32. |                                             \-distr6:::initialize(...)
   33. \-(function (x) ...
   34.   \-param6:::.ParameterSet__values(self, private, x)
   35.     \-param6:::.check(...)
   36.       \-param6:::.check_deps(...)
   37.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipelines.R:21:3): distrcompositor ------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pipe$predict(task) test_pipelines.R:21:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.predict(...)
   12. |             \-self$graph$predict(task)
   13. |               \-mlr3pipelines:::.__Graph__predict(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__predict(...)
   17. |                       \-private$.predict(input)
   18. |                         \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
   19. |                           \-private$.learner$predict(task)
   20. |                             \-mlr3:::.__Learner__predict(...)
   21. |                               \-mlr3:::learner_predict(self, task, row_ids)
   22. |                                 \-mlr3misc::encapsulate(...)
   23. |                                   +-mlr3misc::invoke(...)
   24. |                                   | \-base::eval.parent(expr, n = 1L)
   25. |                                   |   \-base::eval(expr, p)
   26. |                                   |     \-base::eval(expr, p)
   27. |                                   \-mlr3:::.f(task = <environment>, learner = <environment>)
   28. |                                     \-get_private(learner)$.predict(task)
   29. |                                       \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   30. |                                         \-mlr3proba::.surv_return(times = times, surv = surv)
   31. |                                           \-distr6::VectorDistribution$new(...)
   32. |                                             \-distr6:::initialize(...)
   33. \-(function (x) ...
   34.   \-param6:::.ParameterSet__values(self, private, x)
   35.     \-param6:::.check(...)
   36.       \-param6:::.check_deps(...)
   37.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipelines.R:35:3): survaverager ---------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pipe$predict(task) test_pipelines.R:35:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.predict(...)
   12. |             \-self$graph$predict(task)
   13. |               \-mlr3pipelines:::.__Graph__predict(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__predict(...)
   17. |                       \-private$.predict(input)
   18. |                         \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
   19. |                           \-private$.learner$predict(task)
   20. |                             \-mlr3:::.__Learner__predict(...)
   21. |                               \-mlr3:::learner_predict(self, task, row_ids)
   22. |                                 \-mlr3misc::encapsulate(...)
   23. |                                   +-mlr3misc::invoke(...)
   24. |                                   | \-base::eval.parent(expr, n = 1L)
   25. |                                   |   \-base::eval(expr, p)
   26. |                                   |     \-base::eval(expr, p)
   27. |                                   \-mlr3:::.f(task = <environment>, learner = <environment>)
   28. |                                     \-get_private(learner)$.predict(task)
   29. |                                       \-mlr3proba:::.__LearnerSurvCoxPH__.predict(...)
   30. |                                         \-mlr3proba::.surv_return(...)
   31. |                                           \-distr6::VectorDistribution$new(...)
   32. |                                             \-distr6:::initialize(...)
   33. \-(function (x) ...
   34.   \-param6:::.ParameterSet__values(self, private, x)
   35.     \-param6:::.check(...)
   36.       \-param6:::.check_deps(...)
   37.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipelines.R:45:3): survbagging ----------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pipe$predict(task) test_pipelines.R:45:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.predict(...)
   12. |             \-self$graph$predict(task)
   13. |               \-mlr3pipelines:::.__Graph__predict(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__predict(...)
   17. |                       \-private$.predict(input)
   18. |                         \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
   19. |                           \-private$.learner$predict(task)
   20. |                             \-mlr3:::.__Learner__predict(...)
   21. |                               \-mlr3:::learner_predict(self, task, row_ids)
   22. |                                 \-mlr3misc::encapsulate(...)
   23. |                                   +-mlr3misc::invoke(...)
   24. |                                   | \-base::eval.parent(expr, n = 1L)
   25. |                                   |   \-base::eval(expr, p)
   26. |                                   |     \-base::eval(expr, p)
   27. |                                   \-mlr3:::.f(task = <environment>, learner = <environment>)
   28. |                                     \-get_private(learner)$.predict(task)
   29. |                                       \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   30. |                                         \-mlr3proba::.surv_return(times = times, surv = surv)
   31. |                                           \-distr6::VectorDistribution$new(...)
   32. |                                             \-distr6:::initialize(...)
   33. \-(function (x) ...
   34.   \-param6:::.ParameterSet__values(self, private, x)
   35.     \-param6:::.check(...)
   36.       \-param6:::.check_deps(...)
   37.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipelines.R:51:3): resample survtoregr --------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
      x
   1. \-mlr3::resample(task, pipe, rsmp("cv", folds = 2)) test_pipelines.R:51:2
   2.   \-future.apply::future_lapply(...)
   3.     \-future.apply:::future_xapply(...)
   4.       +-future::value(fs)
   5.       \-future:::value.list(fs)
   6.         +-future::resolve(...)
   7.         \-future:::resolve.list(...)
   8.           \-future:::signalConditionsASAP(obj, resignal = FALSE, pos = ii)
   9.             \-future:::signalConditions(...)
  -- Error (test_pipelines.R:60:3): survtoregr 1 ---------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pipe$train(task) test_pipelines.R:60:2
    2. | \-mlr3:::.__Learner__train(...)
    3. |   \-mlr3:::learner_train(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(learner = <environment>, task = <environment>)
   10. |         \-get_private(learner)$.train(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.train(...)
   12. |             \-self$graph$train(task)
   13. |               \-mlr3pipelines:::.__Graph__train(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "train", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__train(...)
   17. |                       \-private$.train(input)
   18. |                         \-mlr3proba:::.__PipeOpTransformer__.train(...)
   19. |                           \-private$.transform(inputs)
   20. |                             \-mlr3proba:::.__PipeOpTaskSurvRegr__.transform(...)
   21. |                               \-private$.ipcw(backend, status, time, estimator, eps)
   22. |                                 \-mlr3proba:::.__PipeOpTaskSurvRegr__.ipcw(...)
   23. |                                   \-est$train(task)$predict(task)
   24. |                                     \-mlr3:::.__Learner__predict(...)
   25. |                                       \-mlr3:::learner_predict(self, task, row_ids)
   26. |                                         \-mlr3misc::encapsulate(...)
   27. |                                           +-mlr3misc::invoke(...)
   28. |                                           | \-base::eval.parent(expr, n = 1L)
   29. |                                           |   \-base::eval(expr, p)
   30. |                                           |     \-base::eval(expr, p)
   31. |                                           \-mlr3:::.f(task = <environment>, learner = <environment>)
   32. |                                             \-get_private(learner)$.predict(task)
   33. |                                               \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   34. |                                                 \-mlr3proba::.surv_return(times = times, surv = surv)
   35. |                                                   \-distr6::VectorDistribution$new(...)
   36. |                                                     \-distr6:::initialize(...)
   37. \-(function (x) ...
   38.   \-param6:::.ParameterSet__values(self, private, x)
   39.     \-param6:::.check(...)
   40.       \-param6:::.check_deps(...)
   41.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipelines.R:77:3): survtoregr 2 ---------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pipe$train(task) test_pipelines.R:77:2
    2. | \-mlr3:::.__Learner__train(...)
    3. |   \-mlr3:::learner_train(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(learner = <environment>, task = <environment>)
   10. |         \-get_private(learner)$.train(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.train(...)
   12. |             \-self$graph$train(task)
   13. |               \-mlr3pipelines:::.__Graph__train(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "train", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__train(...)
   17. |                       \-private$.train(input)
   18. |                         \-mlr3proba:::.__PipeOpTransformer__.train(...)
   19. |                           \-private$.transform(inputs)
   20. |                             \-mlr3proba:::.__PipeOpTaskSurvRegr__.transform(...)
   21. |                               \-private$.ipcw(backend, status, time, estimator, eps)
   22. |                                 \-mlr3proba:::.__PipeOpTaskSurvRegr__.ipcw(...)
   23. |                                   \-est$train(task)$predict(task)
   24. |                                     \-mlr3:::.__Learner__predict(...)
   25. |                                       \-mlr3:::learner_predict(self, task, row_ids)
   26. |                                         \-mlr3misc::encapsulate(...)
   27. |                                           +-mlr3misc::invoke(...)
   28. |                                           | \-base::eval.parent(expr, n = 1L)
   29. |                                           |   \-base::eval(expr, p)
   30. |                                           |     \-base::eval(expr, p)
   31. |                                           \-mlr3:::.f(task = <environment>, learner = <environment>)
   32. |                                             \-get_private(learner)$.predict(task)
   33. |                                               \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   34. |                                                 \-mlr3proba::.surv_return(times = times, surv = surv)
   35. |                                                   \-distr6::VectorDistribution$new(...)
   36. |                                                     \-distr6:::initialize(...)
   37. \-(function (x) ...
   38.   \-param6:::.ParameterSet__values(self, private, x)
   39.     \-param6:::.check(...)
   40.       \-param6:::.check_deps(...)
   41.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipelines.R:96:3): survtoregr 3 ---------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pipe$train(task) test_pipelines.R:96:2
    2. | \-mlr3:::.__Learner__train(...)
    3. |   \-mlr3:::learner_train(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(learner = <environment>, task = <environment>)
   10. |         \-get_private(learner)$.train(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.train(...)
   12. |             \-self$graph$train(task)
   13. |               \-mlr3pipelines:::.__Graph__train(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "train", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__train(...)
   17. |                       \-private$.train(input)
   18. |                         \-mlr3pipelines:::.__PipeOpTaskPreproc__.train(...)
   19. |                           \-private$.train_task(intask)
   20. |                             \-mlr3pipelines:::.__PipeOpLearnerCV__.train_task(...)
   21. |                               +-data.table::as.data.table(private$.learner$predict(task))
   22. |                               \-private$.learner$predict(task)
   23. |                                 \-mlr3:::.__Learner__predict(...)
   24. |                                   \-mlr3:::learner_predict(self, task, row_ids)
   25. |                                     \-mlr3misc::encapsulate(...)
   26. |                                       +-mlr3misc::invoke(...)
   27. |                                       | \-base::eval.parent(expr, n = 1L)
   28. |                                       |   \-base::eval(expr, p)
   29. |                                       |     \-base::eval(expr, p)
   30. |                                       \-mlr3:::.f(task = <environment>, learner = <environment>)
   31. |                                         \-get_private(learner)$.predict(task)
   32. |                                           \-mlr3proba:::.__LearnerSurvCoxPH__.predict(...)
   33. |                                             \-mlr3proba::.surv_return(...)
   34. |                                               \-distr6::VectorDistribution$new(...)
   35. |                                                 \-distr6:::initialize(...)
   36. \-(function (x) ...
   37.   \-param6:::.ParameterSet__values(self, private, x)
   38.     \-param6:::.check(...)
   39.       \-param6:::.check_deps(...)
   40.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_crankcompositor.R:11:3): PipeOpCrankCompositor - estimate --
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-gr$predict(task) test_pipeop_crankcompositor.R:11:2
    2. | \-mlr3pipelines:::.__Graph__predict(...)
    3. |   \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
    4. |     \-op[[fun]](input)
    5. |       \-mlr3pipelines:::.__PipeOp__predict(...)
    6. |         \-private$.predict(input)
    7. |           \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
    8. |             \-private$.learner$predict(task)
    9. |               \-mlr3:::.__Learner__predict(...)
   10. |                 \-mlr3:::learner_predict(self, task, row_ids)
   11. |                   \-mlr3misc::encapsulate(...)
   12. |                     +-mlr3misc::invoke(...)
   13. |                     | \-base::eval.parent(expr, n = 1L)
   14. |                     |   \-base::eval(expr, p)
   15. |                     |     \-base::eval(expr, p)
   16. |                     \-mlr3:::.f(task = <environment>, learner = <environment>)
   17. |                       \-get_private(learner)$.predict(task)
   18. |                         \-mlr3proba:::.__LearnerSurvCoxPH__.predict(...)
   19. |                           \-mlr3proba::.surv_return(...)
   20. |                             \-distr6::VectorDistribution$new(...)
   21. |                               \-distr6:::initialize(...)
   22. \-(function (x) ...
   23.   \-param6:::.ParameterSet__values(self, private, x)
   24.     \-param6:::.check(...)
   25.       \-param6:::.check_deps(...)
   26.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_crankcompositor.R:18:3): no params -----------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) test_pipeop_crankcompositor.R:18:2
    2. | \-mlr3pipelines:::.__PipeOp__predict(...)
    3. |   \-mlr3misc::every(input, is_noop)
    4. |     \-mlr3misc::map_lgl(.x, .p, ...)
    5. |       \-mlr3misc:::map_mold(.x, .f, NA, ...)
    6. |         \-base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
    7. +-lrn("surv.kaplan")$train(task)$predict(task)
    8. | \-mlr3:::.__Learner__predict(...)
    9. |   \-mlr3:::learner_predict(self, task, row_ids)
   10. |     \-mlr3misc::encapsulate(...)
   11. |       +-mlr3misc::invoke(...)
   12. |       | \-base::eval.parent(expr, n = 1L)
   13. |       |   \-base::eval(expr, p)
   14. |       |     \-base::eval(expr, p)
   15. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   16. |         \-get_private(learner)$.predict(task)
   17. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   18. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   19. |               \-distr6::VectorDistribution$new(...)
   20. |                 \-distr6:::initialize(...)
   21. \-(function (x) ...
   22.   \-param6:::.ParameterSet__values(self, private, x)
   23.     \-param6:::.check(...)
   24.       \-param6:::.check_deps(...)
   25.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_crankcompositor.R:26:3): response ------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) test_pipeop_crankcompositor.R:26:2
    2. | \-mlr3pipelines:::.__PipeOp__predict(...)
    3. |   \-mlr3misc::every(input, is_noop)
    4. |     \-mlr3misc::map_lgl(.x, .p, ...)
    5. |       \-mlr3misc:::map_mold(.x, .f, NA, ...)
    6. |         \-base::vapply(.x, .f, FUN.VALUE = .value, USE.NAMES = FALSE, ...)
    7. +-lrn("surv.kaplan")$train(task)$predict(task)
    8. | \-mlr3:::.__Learner__predict(...)
    9. |   \-mlr3:::learner_predict(self, task, row_ids)
   10. |     \-mlr3misc::encapsulate(...)
   11. |       +-mlr3misc::invoke(...)
   12. |       | \-base::eval.parent(expr, n = 1L)
   13. |       |   \-base::eval(expr, p)
   14. |       |     \-base::eval(expr, p)
   15. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   16. |         \-get_private(learner)$.predict(task)
   17. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   18. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   19. |               \-distr6::VectorDistribution$new(...)
   20. |                 \-distr6:::initialize(...)
   21. \-(function (x) ...
   22.   \-param6:::.ParameterSet__values(self, private, x)
   23.     \-param6:::.check(...)
   24.       \-param6:::.check_deps(...)
   25.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_crankcompositor.R:40:3): overwrite crank -----------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pl$train(task)$predict(task) test_pipeop_crankcompositor.R:40:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.predict(...)
   12. |             \-self$graph$predict(task)
   13. |               \-mlr3pipelines:::.__Graph__predict(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__predict(...)
   17. |                       \-private$.predict(input)
   18. |                         \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
   19. |                           \-private$.learner$predict(task)
   20. |                             \-mlr3:::.__Learner__predict(...)
   21. |                               \-mlr3:::learner_predict(self, task, row_ids)
   22. |                                 \-mlr3misc::encapsulate(...)
   23. |                                   +-mlr3misc::invoke(...)
   24. |                                   | \-base::eval.parent(expr, n = 1L)
   25. |                                   |   \-base::eval(expr, p)
   26. |                                   |     \-base::eval(expr, p)
   27. |                                   \-mlr3:::.f(task = <environment>, learner = <environment>)
   28. |                                     \-get_private(learner)$.predict(task)
   29. |                                       \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   30. |                                         \-mlr3proba::.surv_return(times = times, surv = surv)
   31. |                                           \-distr6::VectorDistribution$new(...)
   32. |                                             \-distr6:::initialize(...)
   33. \-(function (x) ...
   34.   \-param6:::.ParameterSet__values(self, private, x)
   35.     \-param6:::.check(...)
   36.       \-param6:::.check_deps(...)
   37.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_crankcompositor.R:56:3): overwrite response --------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-lrn("surv.kaplan")$train(task)$predict(task) test_pipeop_crankcompositor.R:56:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   12. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_crankcompositor.R:76:3): neg crank -----------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-pl$train(task)$predict(task) test_pipeop_crankcompositor.R:76:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3pipelines:::.__GraphLearner__.predict(...)
   12. |             \-self$graph$predict(task)
   13. |               \-mlr3pipelines:::.__Graph__predict(...)
   14. |                 \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
   15. |                   \-op[[fun]](input)
   16. |                     \-mlr3pipelines:::.__PipeOp__predict(...)
   17. |                       \-private$.predict(input)
   18. |                         \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
   19. |                           \-private$.learner$predict(task)
   20. |                             \-mlr3:::.__Learner__predict(...)
   21. |                               \-mlr3:::learner_predict(self, task, row_ids)
   22. |                                 \-mlr3misc::encapsulate(...)
   23. |                                   +-mlr3misc::invoke(...)
   24. |                                   | \-base::eval.parent(expr, n = 1L)
   25. |                                   |   \-base::eval(expr, p)
   26. |                                   |     \-base::eval(expr, p)
   27. |                                   \-mlr3:::.f(task = <environment>, learner = <environment>)
   28. |                                     \-get_private(learner)$.predict(task)
   29. |                                       \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   30. |                                         \-mlr3proba::.surv_return(times = times, surv = surv)
   31. |                                           \-distr6::VectorDistribution$new(...)
   32. |                                             \-distr6:::initialize(...)
   33. \-(function (x) ...
   34.   \-param6:::.ParameterSet__values(self, private, x)
   35.     \-param6:::.check(...)
   36.       \-param6:::.check_deps(...)
   37.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_distrcompositor.R:10:3): PipeOpDistrCompositor - overwrite = FALSE --
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-testthat::expect_equal(...) test_pipeop_distrcompositor.R:10:2
    2. | \-testthat::quasi_label(enquo(object), label, arg = "object")
    3. |   \-rlang::eval_bare(expr, quo_get_env(quo))
    4. +-gr$predict(task)
    5. | \-mlr3pipelines:::.__Graph__predict(...)
    6. |   \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
    7. |     \-op[[fun]](input)
    8. |       \-mlr3pipelines:::.__PipeOp__predict(...)
    9. |         \-private$.predict(input)
   10. |           \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
   11. |             \-private$.learner$predict(task)
   12. |               \-mlr3:::.__Learner__predict(...)
   13. |                 \-mlr3:::learner_predict(self, task, row_ids)
   14. |                   \-mlr3misc::encapsulate(...)
   15. |                     +-mlr3misc::invoke(...)
   16. |                     | \-base::eval.parent(expr, n = 1L)
   17. |                     |   \-base::eval(expr, p)
   18. |                     |     \-base::eval(expr, p)
   19. |                     \-mlr3:::.f(task = <environment>, learner = <environment>)
   20. |                       \-get_private(learner)$.predict(task)
   21. |                         \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   22. |                           \-mlr3proba::.surv_return(times = times, surv = surv)
   23. |                             \-distr6::VectorDistribution$new(...)
   24. |                               \-distr6:::initialize(...)
   25. \-(function (x) ...
   26.   \-param6:::.ParameterSet__values(self, private, x)
   27.     \-param6:::.check(...)
   28.       \-param6:::.check_deps(...)
   29.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_distrcompositor.R:18:3): PipeOpDistrCompositor - overwrite = TRUE --
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-gr$predict(task) test_pipeop_distrcompositor.R:18:2
    2. | \-mlr3pipelines:::.__Graph__predict(...)
    3. |   \-mlr3pipelines:::graph_reduce(self, input, "predict", single_input)
    4. |     \-op[[fun]](input)
    5. |       \-mlr3pipelines:::.__PipeOp__predict(...)
    6. |         \-private$.predict(input)
    7. |           \-mlr3pipelines:::.__PipeOpLearner__.predict(...)
    8. |             \-private$.learner$predict(task)
    9. |               \-mlr3:::.__Learner__predict(...)
   10. |                 \-mlr3:::learner_predict(self, task, row_ids)
   11. |                   \-mlr3misc::encapsulate(...)
   12. |                     +-mlr3misc::invoke(...)
   13. |                     | \-base::eval.parent(expr, n = 1L)
   14. |                     |   \-base::eval(expr, p)
   15. |                     |     \-base::eval(expr, p)
   16. |                     \-mlr3:::.f(task = <environment>, learner = <environment>)
   17. |                       \-get_private(learner)$.predict(task)
   18. |                         \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   19. |                           \-mlr3proba::.surv_return(times = times, surv = surv)
   20. |                             \-distr6::VectorDistribution$new(...)
   21. |                               \-distr6:::initialize(...)
   22. \-(function (x) ...
   23.   \-param6:::.ParameterSet__values(self, private, x)
   24.     \-param6:::.check(...)
   25.       \-param6:::.check_deps(...)
   26.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_distrcompositor.R:29:3): no params -----------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-lrn("surv.kaplan")$train(task)$predict(task) test_pipeop_distrcompositor.R:29:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   12. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_pipeop_survavg.R:7:1): (code run outside of `test_that()`) ------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-lrn("surv.kaplan")$train(task)$predict(task) test_pipeop_survavg.R:7:0
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3:::.f(task = <environment>, learner = <environment>)
   10. |         \-get_private(learner)$.predict(task)
   11. |           \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   12. |             \-mlr3proba::.surv_return(times = times, surv = surv)
   13. |               \-distr6::VectorDistribution$new(...)
   14. |                 \-distr6:::initialize(...)
   15. \-(function (x) ...
   16.   \-param6:::.ParameterSet__values(self, private, x)
   17.     \-param6:::.check(...)
   18.       \-param6:::.check_deps(...)
   19.         \-param6:::.return_fail(msg = msg, error_on_fail)
  -- Error (test_resample.R:8:3): resample-step ----------------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-base::suppressWarnings(resample(task, learner, resampling)) test_resample.R:8:2
    2. | \-base::withCallingHandlers(...)
    3. \-mlr3::resample(task, learner, resampling)
    4.   \-future.apply::future_lapply(...)
    5.     \-future.apply:::future_xapply(...)
    6.       +-future::value(fs)
    7.       \-future:::value.list(fs)
    8.         +-future::resolve(...)
    9.         \-future:::resolve.list(...)
   10.           \-future:::signalConditionsASAP(obj, resignal = FALSE, pos = ii)
   11.             \-future:::signalConditions(...)
  -- Error (test_single_step.R:10:3): single-step surv ---------------------------
  Error: Dependency of 'cdf len x' failed.
  Backtrace:
       x
    1. +-learner$predict_newdata(task = train_task, newdata = newdata) test_single_step.R:10:2
    2. | \-mlr3:::.__Learner__predict_newdata(...)
    3. |   \-self$predict(task)
    4. |     \-mlr3:::.__Learner__predict(...)
    5. |       \-mlr3:::learner_predict(self, task, row_ids)
    6. |         \-mlr3misc::encapsulate(...)
    7. |           +-mlr3misc::invoke(...)
    8. |           | \-base::eval.parent(expr, n = 1L)
    9. |           |   \-base::eval(expr, p)
   10. |           |     \-base::eval(expr, p)
   11. |           \-mlr3:::.f(task = <environment>, learner = <environment>)
   12. |             \-get_private(learner)$.predict(task)
   13. |               \-mlr3proba:::.__LearnerSurvKaplan__.predict(...)
   14. |                 \-mlr3proba::.surv_return(times = times, surv = surv)
   15. |                   \-distr6::VectorDistribution$new(...)
   16. |                     \-distr6:::initialize(...)
   17. \-(function (x) ...
   18.   \-param6:::.ParameterSet__values(self, private, x)
   19.     \-param6:::.check(...)
   20.       \-param6:::.check_deps(...)
   21.         \-param6:::.return_fail(msg = msg, error_on_fail)
  
  [ FAIL 28 | WARN 0 | SKIP 2 | PASS 666 ]
  Error: Test failures
  Execution halted