* using log directory 'd:/Rcompile/CRANpkg/local/4.0/mlr3proba.Rcheck'
* using R version 4.0.5 (2021-03-31)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* checking for file 'mlr3proba/DESCRIPTION' ... OK
* this is package 'mlr3proba' version '0.4.4'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'mlr3proba' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* loading checks for arch 'i386'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
** checking use of S3 registration ... OK
* loading checks for arch 'x64'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
** checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [57s] OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking pragmas in C/C++ headers and code ... OK
* checking compiled code ... OK
* checking examples ...
** running examples for arch 'i386' ... [14s] OK
** running examples for arch 'x64' ... [15s] OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ... [109s] ERROR
  Running 'testthat.R' [108s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("checkmate") # for more expect_*() functions
  +   library("mlr3proba")
  +   test_check("mlr3proba")
  + }
  Loading required package: mlr3
  [ FAIL 25 | WARN 17 | SKIP 2 | PASS 1723 ]
  
  == Skipped tests ===============================================================
  * On CRAN (2)
  
  == Failed tests ================================================================
  -- Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction -----
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Error (test_PredictionSurv.R:23:3): c ---------------------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  Backtrace:
       x
    1. +-base::do.call(c, preds) at test_PredictionSurv.R:23:2
    2. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
    3. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
    4.   +-mlr3::as_prediction(pdata, check = FALSE)
    5.   \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
    6.     +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
    7.     | \-base::eval.parent(expr, n = 1L)
    8.     |   \-base::eval(expr, p)
    9.     |     \-base::eval(expr, p)
   10.     \-PredictionSurv$new(...)
   11.       \-mlr3proba initialize(...)
   12.         \-mlr3proba:::.__PredictionSurv__initialize(...)
   13.           \-private$.simplify_distr(distr)
   14.             \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
  -- Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_PredictionSurv.R:64:3): as_prediction_surv --------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_PredictionSurv.R:70:3): filtering -----------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_mlr_measures.R:33:7): mlr_measures ----------------------------
  Check on perf is not TRUE
  
  `actual` is a character vector ('May not be NA')
  `expected` is a logical vector (TRUE)
  May not be NA
  Backtrace:
      x
   1. \-checkmate::expect_number(perf, na.ok = "na_score" %in% m$properties) at test_mlr_measures.R:33:6
   2.   \-checkmate::makeExpectation(x, res, info, label)
   3.     \-testthat::expect_true(...)
  -- Failure (test_mlr_measures.R:33:7): mlr_measures ----------------------------
  Check on perf is not TRUE
  
  `actual` is a character vector ('May not be NA')
  `expected` is a logical vector (TRUE)
  May not be NA
  Backtrace:
      x
   1. \-checkmate::expect_number(perf, na.ok = "na_score" %in% m$properties) at test_mlr_measures.R:33:6
   2.   \-checkmate::makeExpectation(x, res, info, label)
   3.     \-testthat::expect_true(...)
  -- Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ----------------
  `prediction$score(msr)` produced warnings.
  -- Failure (test_pipelines.R:11:3): crankcompositor ----------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:11:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipelines.R:22:3): distrcompositor ----------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:22:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipelines.R:68:3): survtoregr 1 -------------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:68:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipelines.R:104:3): survtoregr 3 ------------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:104:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate --
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipeop_crankcompositor.R:20:3): no params ---------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Error (test_pipeop_crankcompositor.R:26:3): response ------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
    2. | \-mlr3pipelines:::.__PipeOp__predict(...)
    3. |   +-base::withCallingHandlers(...)
    4. |   \-private$.predict(input)
    5. |     \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
    6. |       \-PredictionSurv$new(...)
    7. |         \-mlr3proba initialize(...)
    8. |           \-mlr3proba:::.__PredictionSurv__initialize(...)
    9. |             \-private$.simplify_distr(distr)
   10. |               \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   11. |                 \-base::stop("'x' is not a 'VectorDistribution'")
   12. \-base::.handleSimpleError(...)
   13.   \-mlr3pipelines h(simpleError(msg, call))
  -- Error (test_pipeop_crankcompositor.R:49:3): overwrite crank -----------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
   10. |         \-get_private(learner)$.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. |                       +-base::withCallingHandlers(...)
   18. |                       \-private$.predict(input)
   19. |                         \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
   20. |                           \-PredictionSurv$new(...)
   21. |                             \-mlr3proba initialize(...)
   22. |                               \-mlr3proba:::.__PredictionSurv__initialize(...)
   23. |                                 \-private$.simplify_distr(distr)
   24. |                                   \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   25. |                                     \-base::stop("'x' is not a 'VectorDistribution'")
   26. \-base::.handleSimpleError(...)
   27.   \-mlr3pipelines h(simpleError(msg, call))
  -- Error (test_pipeop_crankcompositor.R:57:3): overwrite response --------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  Backtrace:
      x
   1. \-PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
   2.   \-mlr3proba initialize(...)
   3.     \-mlr3proba:::.__PredictionSurv__initialize(...)
   4.       \-private$.simplify_distr(distr)
   5.         \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
  -- Error (test_pipeop_crankcompositor.R:76:3): neg crank -----------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
   10. |         \-get_private(learner)$.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. |                       +-base::withCallingHandlers(...)
   18. |                       \-private$.predict(input)
   19. |                         \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
   20. |                           \-PredictionSurv$new(...)
   21. |                             \-mlr3proba initialize(...)
   22. |                               \-mlr3proba:::.__PredictionSurv__initialize(...)
   23. |                                 \-private$.simplify_distr(distr)
   24. |                                   \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   25. |                                     \-base::stop("'x' is not a 'VectorDistribution'")
   26. \-base::.handleSimpleError(...)
   27.   \-mlr3pipelines h(simpleError(msg, call))
  -- Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE --
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE --
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Error (test_pipeop_survavg.R:19:3): equal weights ---------------------------
  Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
  Backtrace:
      x
   1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
   2.   \-testthat::quasi_label(enquo(object), label, arg = "object")
   3.     \-rlang::eval_bare(expr, quo_get_env(quo))
  -- Error (test_pipeop_survavg.R:33:3): unequal weights -------------------------
  Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
  Backtrace:
      x
   1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
   2.   \-testthat::quasi_label(enquo(object), label, arg = "object")
   3.     \-rlang::eval_bare(expr, quo_get_env(quo))
  -- Error (test_pipeop_survavg.R:47:3): response --------------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
   10. |         \-get_private(learner)$.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. |                       +-base::withCallingHandlers(...)
   18. |                       \-private$.predict(input)
   19. |                         \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
   20. |                           \-PredictionSurv$new(...)
   21. |                             \-mlr3proba initialize(...)
   22. |                               \-mlr3proba:::.__PredictionSurv__initialize(...)
   23. |                                 \-private$.simplify_distr(distr)
   24. |                                   \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   25. |                                     \-base::stop("'x' is not a 'VectorDistribution'")
   26. \-base::.handleSimpleError(...)
   27.   \-mlr3pipelines h(simpleError(msg, call))
  -- Error (test_pipeop_survavg.R:65:3): surv_averager ---------------------------
  Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
  Backtrace:
      x
   1. \-testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
   2.   \-testthat::quasi_label(enquo(object), label, arg = "object")
   3.     \-rlang::eval_bare(expr, quo_get_env(quo))
  -- Error (test_resample.R:9:3): resample-step ----------------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  Backtrace:
       x
    1. \-global expect_resample_result(rr) at test_resample.R:9:2
    2.   +-global expect_prediction(rr$prediction())
    3.   | \-checkmate::expect_r6(...)
    4.   |   \-checkmate::checkR6(...)
    5.   \-rr$prediction()
    6.     \-mlr3:::.__ResampleResult__prediction(...)
    7.       \-private$.data$prediction(private$.view, predict_sets)
    8.         \-mlr3:::.__ResultData__prediction(...)
    9.           +-base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
   10.           +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
   11.           \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
   12.             +-mlr3::as_prediction(pdata, check = FALSE)
   13.             \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
   14.               +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
   15.               | \-base::eval.parent(expr, n = 1L)
   16.               |   \-base::eval(expr, p)
   17.               |     \-base::eval(expr, p)
   18.               \-PredictionSurv$new(...)
   19.                 \-mlr3proba initialize(...)
   20.                   \-mlr3proba:::.__PredictionSurv__initialize(...)
   21.                     \-private$.simplify_distr(distr)
   22.                       \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
  
  [ FAIL 25 | WARN 17 | SKIP 2 | PASS 1723 ]
  Error: Test failures
  Execution halted
** running tests for arch 'x64' ... [114s] ERROR
  Running 'testthat.R' [114s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("checkmate") # for more expect_*() functions
  +   library("mlr3proba")
  +   test_check("mlr3proba")
  + }
  Loading required package: mlr3
  [ FAIL 24 | WARN 17 | SKIP 2 | PASS 1724 ]
  
  == Skipped tests ===============================================================
  * On CRAN (2)
  
  == Failed tests ================================================================
  -- Failure (test_PredictionSurv.R:12:3): Internally constructed Prediction -----
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:12:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Error (test_PredictionSurv.R:23:3): c ---------------------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  Backtrace:
       x
    1. +-base::do.call(c, preds) at test_PredictionSurv.R:23:2
    2. +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`)
    3. \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`)
    4.   +-mlr3::as_prediction(pdata, check = FALSE)
    5.   \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
    6.     +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
    7.     | \-base::eval.parent(expr, n = 1L)
    8.     |   \-base::eval(expr, p)
    9.     |     \-base::eval(expr, p)
   10.     \-PredictionSurv$new(...)
   11.       \-mlr3proba initialize(...)
   12.         \-mlr3proba:::.__PredictionSurv__initialize(...)
   13.           \-private$.simplify_distr(distr)
   14.             \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
  -- Failure (test_PredictionSurv.R:52:3): data.frame roundtrip ------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p2) at test_PredictionSurv.R:52:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_PredictionSurv.R:64:3): as_prediction_surv --------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(as_prediction_surv(as.data.table(p))) at test_PredictionSurv.R:64:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_PredictionSurv.R:70:3): filtering -----------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_PredictionSurv.R:70:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_mlr_measures.R:33:7): mlr_measures ----------------------------
  Check on perf is not TRUE
  
  `actual` is a character vector ('May not be NA')
  `expected` is a logical vector (TRUE)
  May not be NA
  Backtrace:
      x
   1. \-checkmate::expect_number(perf, na.ok = "na_score" %in% m$properties) at test_mlr_measures.R:33:6
   2.   \-checkmate::makeExpectation(x, res, info, label)
   3.     \-testthat::expect_true(...)
  -- Failure (test_mlr_measures.R:43:3): unintegrated_prob_losses ----------------
  `prediction$score(msr)` produced warnings.
  -- Failure (test_pipelines.R:11:3): crankcompositor ----------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:11:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipelines.R:22:3): distrcompositor ----------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:22:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipelines.R:68:3): survtoregr 1 -------------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:68:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipelines.R:104:3): survtoregr 3 ------------------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipelines.R:104:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipeop_crankcompositor.R:12:3): PipeOpCrankCompositor - estimate --
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:12:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipeop_crankcompositor.R:20:3): no params ---------------------
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipeop_crankcompositor.R:20:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Error (test_pipeop_crankcompositor.R:26:3): response ------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-po$predict(list(lrn("surv.kaplan")$train(task)$predict(task))) at test_pipeop_crankcompositor.R:26:2
    2. | \-mlr3pipelines:::.__PipeOp__predict(...)
    3. |   +-base::withCallingHandlers(...)
    4. |   \-private$.predict(input)
    5. |     \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
    6. |       \-PredictionSurv$new(...)
    7. |         \-mlr3proba initialize(...)
    8. |           \-mlr3proba:::.__PredictionSurv__initialize(...)
    9. |             \-private$.simplify_distr(distr)
   10. |               \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   11. |                 \-base::stop("'x' is not a 'VectorDistribution'")
   12. \-base::.handleSimpleError(...)
   13.   \-mlr3pipelines h(simpleError(msg, call))
  -- Error (test_pipeop_crankcompositor.R:49:3): overwrite crank -----------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:49:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
   10. |         \-get_private(learner)$.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. |                       +-base::withCallingHandlers(...)
   18. |                       \-private$.predict(input)
   19. |                         \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
   20. |                           \-PredictionSurv$new(...)
   21. |                             \-mlr3proba initialize(...)
   22. |                               \-mlr3proba:::.__PredictionSurv__initialize(...)
   23. |                                 \-private$.simplify_distr(distr)
   24. |                                   \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   25. |                                     \-base::stop("'x' is not a 'VectorDistribution'")
   26. \-base::.handleSimpleError(...)
   27.   \-mlr3pipelines h(simpleError(msg, call))
  -- Error (test_pipeop_crankcompositor.R:57:3): overwrite response --------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  Backtrace:
      x
   1. \-PredictionSurv$new(...) at test_pipeop_crankcompositor.R:57:2
   2.   \-mlr3proba initialize(...)
   3.     \-mlr3proba:::.__PredictionSurv__initialize(...)
   4.       \-private$.simplify_distr(distr)
   5.         \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
  -- Error (test_pipeop_crankcompositor.R:76:3): neg crank -----------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-pl$train(task)$predict(task) at test_pipeop_crankcompositor.R:76:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
   10. |         \-get_private(learner)$.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. |                       +-base::withCallingHandlers(...)
   18. |                       \-private$.predict(input)
   19. |                         \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
   20. |                           \-PredictionSurv$new(...)
   21. |                             \-mlr3proba initialize(...)
   22. |                               \-mlr3proba:::.__PredictionSurv__initialize(...)
   23. |                                 \-private$.simplify_distr(distr)
   24. |                                   \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   25. |                                     \-base::stop("'x' is not a 'VectorDistribution'")
   26. \-base::.handleSimpleError(...)
   27.   \-mlr3pipelines h(simpleError(msg, call))
  -- Failure (test_pipeop_distrcompositor.R:19:3): PipeOpDistrCompositor - overwrite = TRUE --
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(p) at test_pipeop_distrcompositor.R:19:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Failure (test_pipeop_distrcompositor.R:24:3): PipeOpDistrCompositor - overwrite = TRUE --
  Check on p$distr is not TRUE
  
  `actual` is a character vector ('Must inherit from class \'VectorDistribution\', but has classes \'Matdist\',\'SDistribution\',\'Distribution\',\'R6\'')
  `expected` is a logical vector (TRUE)
  Must inherit from class 'VectorDistribution', but has classes 'Matdist','SDistribution','Distribution','R6'
  Backtrace:
      x
   1. \-global expect_prediction_surv(gr$train(task)$predict(task)) at test_pipeop_distrcompositor.R:24:2
   2.   \-checkmate::expect_class(p$distr, "VectorDistribution")
   3.     \-checkmate::makeExpectation(x, res, info, label)
   4.       \-testthat::expect_true(...)
  -- Error (test_pipeop_survavg.R:19:3): equal weights ---------------------------
  Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
  Backtrace:
      x
   1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:19:2
   2.   \-testthat::quasi_label(enquo(object), label, arg = "object")
   3.     \-rlang::eval_bare(expr, quo_get_env(quo))
  -- Error (test_pipeop_survavg.R:33:3): unequal weights -------------------------
  Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
  Backtrace:
      x
   1. \-testthat::expect_equal(...) at test_pipeop_survavg.R:33:2
   2.   \-testthat::quasi_label(enquo(object), label, arg = "object")
   3.     \-rlang::eval_bare(expr, quo_get_env(quo))
  -- Error (test_pipeop_survavg.R:47:3): response --------------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  This happened PipeOp compose_crank's $predict()
  Backtrace:
       x
    1. +-mlr3pipelines::ppl("crankcompositor", lrn("surv.kaplan"), response = TRUE, ... at test_pipeop_survavg.R:47:2
    2. | \-mlr3:::.__Learner__predict(...)
    3. |   \-mlr3:::learner_predict(self, task, row_ids)
    4. |     \-mlr3misc::encapsulate(...)
    5. |       +-mlr3misc::invoke(...)
    6. |       | \-base::eval.parent(expr, n = 1L)
    7. |       |   \-base::eval(expr, p)
    8. |       |     \-base::eval(expr, p)
    9. |       \-mlr3 .f(task = `<TaskSurv>`, learner = `<GrphLrnr>`)
   10. |         \-get_private(learner)$.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. |                       +-base::withCallingHandlers(...)
   18. |                       \-private$.predict(input)
   19. |                         \-mlr3proba:::.__PipeOpCrankCompositor__.predict(...)
   20. |                           \-PredictionSurv$new(...)
   21. |                             \-mlr3proba initialize(...)
   22. |                               \-mlr3proba:::.__PredictionSurv__initialize(...)
   23. |                                 \-private$.simplify_distr(distr)
   24. |                                   \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
   25. |                                     \-base::stop("'x' is not a 'VectorDistribution'")
   26. \-base::.handleSimpleError(...)
   27.   \-mlr3pipelines h(simpleError(msg, call))
  -- Error (test_pipeop_survavg.R:65:3): surv_averager ---------------------------
  Error in `p$distr$cdf`: $ operator is invalid for atomic vectors
  Backtrace:
      x
   1. \-testthat::expect_equal(p$distr$cdf(1:3), p2$distr$cdf(1:3)) at test_pipeop_survavg.R:65:2
   2.   \-testthat::quasi_label(enquo(object), label, arg = "object")
   3.     \-rlang::eval_bare(expr, quo_get_env(quo))
  -- Error (test_resample.R:9:3): resample-step ----------------------------------
  Error in `.__PredictionSurv__.simplify_distr(self = self, private = private, 
      super = super, x = x)`: 'x' is not a 'VectorDistribution'
  Backtrace:
       x
    1. \-global expect_resample_result(rr) at test_resample.R:9:2
    2.   +-global expect_prediction(rr$prediction())
    3.   | \-checkmate::expect_r6(...)
    4.   |   \-checkmate::checkR6(...)
    5.   \-rr$prediction()
    6.     \-mlr3:::.__ResampleResult__prediction(...)
    7.       \-private$.data$prediction(private$.view, predict_sets)
    8.         \-mlr3:::.__ResultData__prediction(...)
    9.           +-base::do.call(c, self$predictions(view = view, predict_sets = predict_sets))
   10.           +-base `<fn>`(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
   11.           \-mlr3:::c.Prediction(`<PrdctnSr>`, `<PrdctnSr>`, `<PrdctnSr>`)
   12.             +-mlr3::as_prediction(pdata, check = FALSE)
   13.             \-mlr3proba:::as_prediction.PredictionDataSurv(pdata, check = FALSE)
   14.               +-mlr3misc::invoke(PredictionSurv$new, check = check, .args = x)
   15.               | \-base::eval.parent(expr, n = 1L)
   16.               |   \-base::eval(expr, p)
   17.               |     \-base::eval(expr, p)
   18.               \-PredictionSurv$new(...)
   19.                 \-mlr3proba initialize(...)
   20.                   \-mlr3proba:::.__PredictionSurv__initialize(...)
   21.                     \-private$.simplify_distr(distr)
   22.                       \-mlr3proba:::.__PredictionSurv__.simplify_distr(...)
  
  [ FAIL 24 | WARN 17 | SKIP 2 | PASS 1724 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... OK
* DONE
Status: 2 ERRORs