CRAN Package Check Results for Package mlr3proba

Last updated on 2020-08-19 01:50:07 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.0 64.47 245.48 309.95 OK
r-devel-linux-x86_64-debian-gcc 0.2.0 50.69 169.13 219.82 ERROR
r-devel-linux-x86_64-fedora-clang 0.2.0 361.92 ERROR
r-devel-linux-x86_64-fedora-gcc 0.2.0 348.47 ERROR
r-devel-windows-ix86+x86_64 0.2.0 135.00 495.00 630.00 OK
r-patched-linux-x86_64 0.2.0 55.19 232.60 287.79 OK
r-patched-solaris-x86 0.2.0 451.10 ERROR
r-release-linux-x86_64 0.2.0 54.25 233.95 288.20 OK
r-release-macos-x86_64 0.2.0 OK
r-release-windows-ix86+x86_64 0.2.0 126.00 355.00 481.00 OK
r-oldrel-macos-x86_64 0.2.0 OK
r-oldrel-windows-ix86+x86_64 0.2.0 96.00 387.00 483.00 OK

Check Details

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [67s/103s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(checkmate) # for more expect_*() functions
     > library(mlr3proba)
     Registered S3 methods overwritten by 'mlr3proba':
     method from
     as.data.table.PredictionRegr mlr3
     c.PredictionRegr mlr3
     >
     > test_check("mlr3proba")
     ── 1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 2. Error: no params (@test_pipeop_crankcompositor.R#26) ────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 3. Error: response (@test_pipeop_crankcompositor.R#34) ─────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompos
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcomposi
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 6. Error: no params (@test_pipeop_distrcompositor.R#30) ────────────────────
     abstract
     Backtrace:
     1. testthat::expect_silent(pod$predict(list(base = base, pred = pred)))
     9. pod$predict(list(base = base, pred = pred))
     10. private$.predict(input)
    
     ── 7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19) ──
     abstract
     Backtrace:
     1. gr$train(task)
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30) ──────────
     abstract
     Backtrace:
     1. probregr_compose(learner = lrn("regr.featureless", predict_type = "se"), ...
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 9. Error: basic properties (@test_pipeop_survavg.R#2) ──────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3proba:::expect_pipeop(PipeOpSurvAvg$new())
     3. PipeOpSurvAvg$new() /home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/mlr3proba.Rcheck/tests/helper_pipeops.R:35:2
     4. .subset2(public_bind_env, "initialize")(...)
     5. super$initialize(...)
     6. checkmate::assert_flag(collect_multiplicity)
     7. checkmate::makeAssertion(x, res, .var.name, add)
     8. checkmate:::mstop(...)
    
     ── 10. Error: equal weights (@test_pipeop_survavg.R#12) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 11. Error: unequal weights (@test_pipeop_survavg.R#24) ─────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ── 12. Error: lp (@test_pipeop_survavg.R#34) ──────────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 13. Error: response (@test_pipeop_survavg.R#40) ────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 14. Error: surv_averager (@test_pipeop_survavg.R#47) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 1235 | SKIPPED: 2 | WARNINGS: 0 | FAILED: 14 ]
     1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18)
     2. Error: no params (@test_pipeop_crankcompositor.R#26)
     3. Error: response (@test_pipeop_crankcompositor.R#34)
     4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompositor.R#11)
     5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcompositor.R#19)
     6. Error: no params (@test_pipeop_distrcompositor.R#30)
     7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19)
     8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30)
     9. Error: basic properties (@test_pipeop_survavg.R#2)
     1. ...
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [102s/103s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(checkmate) # for more expect_*() functions
     > library(mlr3proba)
     Registered S3 methods overwritten by 'mlr3proba':
     method from
     as.data.table.PredictionRegr mlr3
     c.PredictionRegr mlr3
     >
     > test_check("mlr3proba")
     ── 1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 2. Error: no params (@test_pipeop_crankcompositor.R#26) ────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 3. Error: response (@test_pipeop_crankcompositor.R#34) ─────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompos
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcomposi
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 6. Error: no params (@test_pipeop_distrcompositor.R#30) ────────────────────
     abstract
     Backtrace:
     1. testthat::expect_silent(pod$predict(list(base = base, pred = pred)))
     9. pod$predict(list(base = base, pred = pred))
     10. private$.predict(input)
    
     ── 7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19) ──
     abstract
     Backtrace:
     1. gr$train(task)
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30) ──────────
     abstract
     Backtrace:
     1. probregr_compose(learner = lrn("regr.featureless", predict_type = "se"), ...
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 9. Error: basic properties (@test_pipeop_survavg.R#2) ──────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3proba:::expect_pipeop(PipeOpSurvAvg$new())
     3. PipeOpSurvAvg$new() /data/gannet/ripley/R/packages/tests-clang/mlr3proba.Rcheck/tests/helper_pipeops.R:35:2
     4. .subset2(public_bind_env, "initialize")(...)
     5. super$initialize(...)
     6. checkmate::assert_flag(collect_multiplicity)
     7. checkmate::makeAssertion(x, res, .var.name, add)
     8. checkmate:::mstop(...)
    
     ── 10. Error: equal weights (@test_pipeop_survavg.R#12) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 11. Error: unequal weights (@test_pipeop_survavg.R#24) ─────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ── 12. Error: lp (@test_pipeop_survavg.R#34) ──────────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 13. Error: response (@test_pipeop_survavg.R#40) ────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 14. Error: surv_averager (@test_pipeop_survavg.R#47) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 1235 | SKIPPED: 2 | WARNINGS: 0 | FAILED: 14 ]
     1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18)
     2. Error: no params (@test_pipeop_crankcompositor.R#26)
     3. Error: response (@test_pipeop_crankcompositor.R#34)
     4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompositor.R#11)
     5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcompositor.R#19)
     6. Error: no params (@test_pipeop_distrcompositor.R#30)
     7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19)
     8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30)
     9. Error: basic properties (@test_pipeop_survavg.R#2)
     1. ...
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [104s/105s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(checkmate) # for more expect_*() functions
     > library(mlr3proba)
     Registered S3 methods overwritten by 'mlr3proba':
     method from
     as.data.table.PredictionRegr mlr3
     c.PredictionRegr mlr3
     >
     > test_check("mlr3proba")
     ── 1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 2. Error: no params (@test_pipeop_crankcompositor.R#26) ────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 3. Error: response (@test_pipeop_crankcompositor.R#34) ─────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompos
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcomposi
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 6. Error: no params (@test_pipeop_distrcompositor.R#30) ────────────────────
     abstract
     Backtrace:
     1. testthat::expect_silent(pod$predict(list(base = base, pred = pred)))
     9. pod$predict(list(base = base, pred = pred))
     10. private$.predict(input)
    
     ── 7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19) ──
     abstract
     Backtrace:
     1. gr$train(task)
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30) ──────────
     abstract
     Backtrace:
     1. probregr_compose(learner = lrn("regr.featureless", predict_type = "se"), ...
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 9. Error: basic properties (@test_pipeop_survavg.R#2) ──────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3proba:::expect_pipeop(PipeOpSurvAvg$new())
     3. PipeOpSurvAvg$new() /data/gannet/ripley/R/packages/tests-devel/mlr3proba.Rcheck/tests/helper_pipeops.R:35:2
     4. .subset2(public_bind_env, "initialize")(...)
     5. super$initialize(...)
     6. checkmate::assert_flag(collect_multiplicity)
     7. checkmate::makeAssertion(x, res, .var.name, add)
     8. checkmate:::mstop(...)
    
     ── 10. Error: equal weights (@test_pipeop_survavg.R#12) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 11. Error: unequal weights (@test_pipeop_survavg.R#24) ─────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ── 12. Error: lp (@test_pipeop_survavg.R#34) ──────────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 13. Error: response (@test_pipeop_survavg.R#40) ────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 14. Error: surv_averager (@test_pipeop_survavg.R#47) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 1235 | SKIPPED: 2 | WARNINGS: 0 | FAILED: 14 ]
     1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18)
     2. Error: no params (@test_pipeop_crankcompositor.R#26)
     3. Error: response (@test_pipeop_crankcompositor.R#34)
     4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompositor.R#11)
     5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcompositor.R#19)
     6. Error: no params (@test_pipeop_distrcompositor.R#30)
     7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19)
     8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30)
     9. Error: basic properties (@test_pipeop_survavg.R#2)
     1. ...
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.2.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [115s/137s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(checkmate) # for more expect_*() functions
     > library(mlr3proba)
     Registered S3 methods overwritten by 'mlr3proba':
     method from
     as.data.table.PredictionRegr mlr3
     c.PredictionRegr mlr3
     >
     > test_check("mlr3proba")
     ── 1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 2. Error: no params (@test_pipeop_crankcompositor.R#26) ────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 3. Error: response (@test_pipeop_crankcompositor.R#34) ─────────────────────
     abstract
     Backtrace:
     1. po$predict(list(lrn("surv.kaplan")$train(task)$predict(task)))
     2. private$.predict(input)
    
     ── 4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompos
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcomposi
     abstract
     Backtrace:
     1. testthat::expect_silent(gr$train(task))
     9. gr$train(task)
     10. mlr3:::learner_train(self, task, row_ids)
     11. mlr3misc::encapsulate(...)
     16. mlr3:::.f(learner = <environment>, task = <environment>)
     17. learner$.__enclos_env__$private$.train(task)
     18. self$graph$train(task)
     19. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     20. op[[fun]](input)
     21. private$.train(input)
    
     ── 6. Error: no params (@test_pipeop_distrcompositor.R#30) ────────────────────
     abstract
     Backtrace:
     1. testthat::expect_silent(pod$predict(list(base = base, pred = pred)))
     9. pod$predict(list(base = base, pred = pred))
     10. private$.predict(input)
    
     ── 7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19) ──
     abstract
     Backtrace:
     1. gr$train(task)
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30) ──────────
     abstract
     Backtrace:
     1. probregr_compose(learner = lrn("regr.featureless", predict_type = "se"), ...
     2. mlr3:::learner_train(self, task, row_ids)
     3. mlr3misc::encapsulate(...)
     8. mlr3:::.f(learner = <environment>, task = <environment>)
     9. learner$.__enclos_env__$private$.train(task)
     10. self$graph$train(task)
     11. mlr3pipelines:::graph_reduce(self, input, "train", single_input)
     12. op[[fun]](input)
     13. private$.train(input)
    
     ── 9. Error: basic properties (@test_pipeop_survavg.R#2) ──────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3proba:::expect_pipeop(PipeOpSurvAvg$new())
     3. PipeOpSurvAvg$new() /home/ripley/R/packages/tests32/mlr3proba.Rcheck/tests/helper_pipeops.R:35:2
     4. .subset2(public_bind_env, "initialize")(...)
     5. super$initialize(...)
     6. checkmate::assert_flag(collect_multiplicity)
     7. checkmate::makeAssertion(x, res, .var.name, add)
     8. checkmate:::mstop(...)
    
     ── 10. Error: equal weights (@test_pipeop_survavg.R#12) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 11. Error: unequal weights (@test_pipeop_survavg.R#24) ─────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ── 12. Error: lp (@test_pipeop_survavg.R#34) ──────────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 13. Error: response (@test_pipeop_survavg.R#40) ────────────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po("survavg")
     2. mlr3pipelines:::po.character("survavg")
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     4. mlr3misc:::dictionary_get(dict, .key)
     5. mlr3misc:::dictionary_initialize_item(key, obj, dots)
     8. .subset2(public_bind_env, "initialize")(...)
     9. super$initialize(...)
     10. checkmate::assert_flag(collect_multiplicity)
     11. checkmate::makeAssertion(x, res, .var.name, add)
     12. checkmate:::mstop(...)
    
     ── 14. Error: surv_averager (@test_pipeop_survavg.R#47) ───────────────────────
     Assertion on 'collect_multiplicity' failed: Must be of type 'logical flag', not 'character'.
     Backtrace:
     1. mlr3pipelines::po(...)
     2. mlr3pipelines:::po.character(...)
     3. mlr3misc::dictionary_sugar(dict = mlr_pipeops, .key = .obj, ...)
     6. mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
     9. .subset2(public_bind_env, "initialize")(...)
     10. super$initialize(...)
     11. checkmate::assert_flag(collect_multiplicity)
     12. checkmate::makeAssertion(x, res, .var.name, add)
     13. checkmate:::mstop(...)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 1235 | SKIPPED: 2 | WARNINGS: 0 | FAILED: 14 ]
     1. Error: PipeOpCrankCompositor - estimate (@test_pipeop_crankcompositor.R#18)
     2. Error: no params (@test_pipeop_crankcompositor.R#26)
     3. Error: response (@test_pipeop_crankcompositor.R#34)
     4. Error: PipeOpDistrCompositor - overwrite = FALSE (@test_pipeop_distrcompositor.R#11)
     5. Error: PipeOpDistrCompositor - overwrite = TRUE (@test_pipeop_distrcompositor.R#19)
     6. Error: no params (@test_pipeop_distrcompositor.R#30)
     7. Error: PipeOpProbregrCompositor (@test_pipeop_probregrcompositor.R#19)
     8. Error: probregr_compose (@test_pipeop_probregrcompositor.R#30)
     9. Error: basic properties (@test_pipeop_survavg.R#2)
     1. ...
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86