- using R Under development (unstable) (2026-08-02 r90338)
- using platform: x86_64-pc-linux-gnu
- R was compiled by
gcc-16 (Debian 16.1.0-3) 16.1.0
GNU Fortran (Debian 16.1.0-3) 16.1.0
- running under: Debian GNU/Linux forky/sid
- using session charset: UTF-8
* current time: 2026-08-03 16:24:14 UTC
- checking for file ‘mlr3fselect/DESCRIPTION’ ... OK
- this is package ‘mlr3fselect’ version ‘1.6.0’
- package encoding: UTF-8
- checking CRAN incoming feasibility ... [2s/3s] OK
- 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 executable files ... OK
- checking for hidden files and directories ... OK
- checking for portable file names ... OK
- checking for sufficient/correct file permissions ... OK
- checking serialization versions ... OK
- checking whether package ‘mlr3fselect’ can be installed ... OK
See the install log for details.
- checking package directory ... OK
- checking for future file timestamps ... 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 code files for non-ASCII characters ... OK
- checking R files for syntax errors ... OK
- checking whether the package can be loaded ... [1s/1s] OK
- checking whether the package can be loaded with stated dependencies ... [1s/1s] OK
- checking whether the package can be unloaded cleanly ... [1s/1s] OK
- checking whether the namespace can be loaded with stated dependencies ... [1s/2s] OK
- checking whether the namespace can be unloaded cleanly ... [1s/1s] OK
- checking loading without being on the library search path ... [1s/1s] OK
- checking whether startup messages can be suppressed ... [1s/1s] 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 ... [24s/38s] OK
- checking Rd files ... [1s/2s] OK
- checking Rd metadata ... OK
- checking Rd line widths ... 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 examples ... [1s/2s] ERROR
Running examples in ‘mlr3fselect-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: auto_fselector
> ### Title: Function for Automatic Feature Selection
> ### Aliases: auto_fselector
>
> ### ** Examples
>
> afs = auto_fselector(
+ fselector = fs("random_search"),
+ learner = lrn("classif.rpart"),
+ resampling = rsmp("holdout"),
+ measure = msr("classif.ce"),
+ term_evals = 4)
>
> afs$train(tsk("pima"))
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: <Anonymous> ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
- checking for unstated dependencies in ‘tests’ ... OK
- checking tests ... [198s/222s] ERROR
Running ‘testthat.R’ [198s/221s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library(testthat)
+ library(checkmate)
+ library(mlr3fselect)
+ test_check("mlr3fselect")
+ }
Loading required package: mlr3
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
Saving _problems/test_ArchiveBatchFSelect-60.R
Saving _problems/test_AutoFSelector-209.R
Saving _problems/test_FSelectInstanceSingleCrit-63.R
Saving _problems/test_FSelectInstanceSingleCrit-92.R
Saving _problems/test_FSelectInstanceSingleCrit-121.R
Saving _problems/test_FSelectorRFE-102.R
Saving _problems/test_FSelectorRFE-107.R
Saving _problems/test_FSelectorRFE-122.R
Saving _problems/test_FSelectorRFE-133.R
Saving _problems/test_FSelectorRFE-144.R
Saving _problems/test_FSelectorRFE-164.R
Saving _problems/test_FSelectorRFECV-85.R
Saving _problems/test_ObjectiveFSelect-79.R
Saving _problems/test_ObjectiveFSelect-146.R
Saving _problems/test_extract_inner_fselect_archives-191.R
Saving _problems/test_extract_inner_fselect_result-167.R
Saving _problems/test_fselect-9.R
Saving _problems/test_fselect-24.R
Saving _problems/test_fselect-39.R
Saving _problems/test_fselect_nested-10.R
Saving _problems/test_fsi-8.R
Saving _problems/test_fsi-19.R
Saving _problems/test_fsi-29.R
Saving _problems/test_fsi-72.R
Saving _problems/test_mlr_callbacks-12.R
Saving _problems/test_mlr_callbacks-72.R
Saving _problems/test_mlr_callbacks-95.R
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
══ Skipped tests (18) ══════════════════════════════════════════════════════════
• On CRAN (18): 'test_ArchiveAsyncFSelect.R:2:1',
'test_ArchiveAsyncFSelectFrozen.R:2:1', 'test_AutoFSelector.R:2:3',
'test_AutoFSelector.R:29:3', 'test_AutoFSelector.R:64:3',
'test_AutoFSelector.R:266:3', 'test_CallbackAsyncFSelect.R:2:1',
'test_FSelectInstanceAsyncMultiCrit.R:2:1',
'test_FSelectInstanceAsyncSingleCrit.R:2:1',
'test_FSelectorAsyncDesignPoints.R:2:1',
'test_FSelectorAsyncExhaustiveSearch.R:2:1',
'test_FSelectorAsyncRandomSearch.R:2:1', 'test_ObjectiveFSelectAsync.R:97:3',
'test_ObjectiveFSelectAsync.R:181:3', 'test_auto_fselector.R:41:3',
'test_auto_fselector.R:65:3', 'test_fsi_async.R:2:1',
'test_mlr_callbacks.R:108:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_ArchiveBatchFSelect.R:53:3'): ArchiveBatchFSelect as.data.table function works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_ArchiveBatchFSelect.R:53:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_AutoFSelector.R:209:3'): AutoFSelector get_base_learner method works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_AutoFSelector.R:209:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectInstanceSingleCrit.R:63:3'): always include variable works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_FSelectInstanceSingleCrit.R:63:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectInstanceSingleCrit.R:92:3'): always include variables works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_FSelectInstanceSingleCrit.R:92:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectInstanceSingleCrit.R:121:3'): objective contains no benchmark results ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_FSelectInstanceSingleCrit.R:121:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:92:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFE.R:92:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:107:3'): fix_importance function works ──────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_FSelectorRFE.R:107:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:122:3'): raw_importance function works ──────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_FSelectorRFE.R:122:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:133:3'): rank_importance function works ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_FSelectorRFE.R:133:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:144:3'): average_importance function works ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_FSelectorRFE.R:144:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:157:3'): works without storing models ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_FSelectorRFE.R:157:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFECV.R:75:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFECV.R:75:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_ObjectiveFSelect.R:79:3'): fast aggregation works ──────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_ObjectiveFSelect.R:79:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_ObjectiveFSelect.R:146:3'): fast aggregation conditions work ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_ObjectiveFSelect.R:146:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_extract_inner_fselect_archives.R:191:3'): extract_inner_fselect_archives function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_archives.R:191:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_extract_inner_fselect_result.R:167:3'): extract_inner_fselect_results function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_result.R:167:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:2:3'): fselect function works with single measure ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:17:3'): fselect function works with multiple measures ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:17:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:32:3'): fselect function accepts string input for method ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:32:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect_nested.R:2:3'): fselect_nested function works ──────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect_nested(...) at test_fselect_nested.R:2:3
2. │ └─mlr3::assert_task(task)
3. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. └─mlr3::tsk("pima")
6. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor, cargs)
10. └─mlr3 (local) `<fn>`()
11. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:2:3'): fsi function creates a FSelectInstanceBatchSingleCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:13:3'): fsi function creates a FSelectInstanceBatchMultiCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:13:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:29:3'): fsi and FSelectInstanceBatchSingleCrit are equal ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_fsi.R:29:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:72:3'): fsi and FSelectInstanceBatchMultiCrit are equal ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_fsi.R:72:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:4:3'): backup callback works ───────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:4:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:64:3'): internal tuning callback works ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:64:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:95:3'): internal tuning callback works with AutoFSelector ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_mlr_callbacks.R:95:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
Error:
! Test failures.
Execution halted
- checking PDF version of manual ... [10s/11s] OK
- checking HTML version of manual ... [4s/7s] OK
- checking for non-standard things in the check directory ... OK
- checking for new files in some other directories ... NOTE
Found the following files/directories:
‘~/tmp/scratch/Rtmp0ni1QS’ ‘~/tmp/scratch/Rtmp15dERr’
‘~/tmp/scratch/Rtmp1HaaBg’ ‘~/tmp/scratch/Rtmp1Zsnxu’
‘~/tmp/scratch/Rtmp1e3eYt’ ‘~/tmp/scratch/Rtmp1mMPr8’
‘~/tmp/scratch/Rtmp2XBUAj’ ‘~/tmp/scratch/Rtmp39ZLoP’
‘~/tmp/scratch/Rtmp3H8l7D’ ‘~/tmp/scratch/Rtmp3JVjsz’
‘~/tmp/scratch/Rtmp3S3Gir’ ‘~/tmp/scratch/Rtmp3Yg1lv’
‘~/tmp/scratch/Rtmp3nKwKq’ ‘~/tmp/scratch/Rtmp40Z2ut’
‘~/tmp/scratch/Rtmp4IIdA5’ ‘~/tmp/scratch/Rtmp4OfAig’
‘~/tmp/scratch/Rtmp4gb93k’ ‘~/tmp/scratch/Rtmp4tc07d’
‘~/tmp/scratch/Rtmp5KaIFN’ ‘~/tmp/scratch/Rtmp5XZqZz’
‘~/tmp/scratch/Rtmp5ZxM8n’ ‘~/tmp/scratch/Rtmp5y4DjK’
‘~/tmp/scratch/Rtmp6D4beh’ ‘~/tmp/scratch/Rtmp6Fcmdv’
‘~/tmp/scratch/Rtmp6lzv8j’ ‘~/tmp/scratch/Rtmp6wi0lf’
‘~/tmp/scratch/Rtmp70bvQK’ ‘~/tmp/scratch/Rtmp72CZ7s’
‘~/tmp/scratch/Rtmp76OHz9’ ‘~/tmp/scratch/Rtmp7Fc0uZ’
‘~/tmp/scratch/Rtmp7NapVQ’ ‘~/tmp/scratch/Rtmp9oxkED’
‘~/tmp/scratch/RtmpAAs8yE’ ‘~/tmp/scratch/RtmpAK3tTV’
‘~/tmp/scratch/RtmpAgt3z1’ ‘~/tmp/scratch/RtmpAr0tPD’
‘~/tmp/scratch/RtmpB1LL8h’ ‘~/tmp/scratch/RtmpBrJSqh’
‘~/tmp/scratch/RtmpCZjrrU’ ‘~/tmp/scratch/RtmpCgliBU’
‘~/tmp/scratch/RtmpCzxU75’ ‘~/tmp/scratch/RtmpDBEm19’
‘~/tmp/scratch/RtmpDfzPIo’ ‘~/tmp/scratch/RtmpDmrVqd’
‘~/tmp/scratch/RtmpEwOdgm’ ‘~/tmp/scratch/RtmpEzj9aI’
‘~/tmp/scratch/RtmpF6YCld’ ‘~/tmp/scratch/RtmpFCfJ4A’
‘~/tmp/scratch/RtmpFHpVDk’ ‘~/tmp/scratch/RtmpFUHZ0m’
‘~/tmp/scratch/RtmpFcuCOJ’ ‘~/tmp/scratch/RtmpGfWdlq’
‘~/tmp/scratch/RtmpGsdSzj’ ‘~/tmp/scratch/RtmpGtL4FA’
‘~/tmp/scratch/RtmpH753tQ’ ‘~/tmp/scratch/RtmpHbBuAZ’
‘~/tmp/scratch/RtmpIO93Mr’ ‘~/tmp/scratch/RtmpJ5AWnp’
‘~/tmp/scratch/RtmpJLwKNt’ ‘~/tmp/scratch/RtmpJVPNUy’
‘~/tmp/scratch/RtmpJZfLLe’ ‘~/tmp/scratch/RtmpJujyNj’
‘~/tmp/scratch/RtmpK3dPjy’ ‘~/tmp/scratch/RtmpKCFu7d’
‘~/tmp/scratch/RtmpKWjOWM’ ‘~/tmp/scratch/RtmpKoa3iv’
‘~/tmp/scratch/RtmpLYHtmC’ ‘~/tmp/scratch/RtmpLfvpBe’
‘~/tmp/scratch/RtmpM7e5js’ ‘~/tmp/scratch/RtmpM8epBf’
‘~/tmp/scratch/RtmpMLhXRy’ ‘~/tmp/scratch/RtmpMPlxWV’
‘~/tmp/scratch/RtmpMpSFur’ ‘~/tmp/scratch/RtmpN3jha3’
‘~/tmp/scratch/RtmpNEMFIJ’ ‘~/tmp/scratch/RtmpNHw7Ed’
‘~/tmp/scratch/RtmpNTqWNf’ ‘~/tmp/scratch/RtmpNzVWqQ’
‘~/tmp/scratch/RtmpOMLe8f’ ‘~/tmp/scratch/RtmpORiLvv’
‘~/tmp/scratch/RtmpOaLoY5’ ‘~/tmp/scratch/RtmpOsaJ8L’
‘~/tmp/scratch/RtmpPGdZ2j’ ‘~/tmp/scratch/RtmpPaPNud’
‘~/tmp/scratch/RtmpPnBNgA’ ‘~/tmp/scratch/RtmpRSXxQz’
‘~/tmp/scratch/RtmpS4X1Xy’ ‘~/tmp/scratch/RtmpSij98m’
‘~/tmp/scratch/RtmpSxMuVv’ ‘~/tmp/scratch/RtmpTmB1w0’
‘~/tmp/scratch/RtmpUIAu2k’ ‘~/tmp/scratch/RtmpUcID3T’
‘~/tmp/scratch/RtmpUhNKDB’ ‘~/tmp/scratch/RtmpUxDIM2’
‘~/tmp/scratch/RtmpVLD3pO’ ‘~/tmp/scratch/RtmpVRQ3jd’
‘~/tmp/scratch/RtmpVsf6Kl’ ‘~/tmp/scratch/RtmpWFzDjo’
‘~/tmp/scratch/RtmpWSNzMh’ ‘~/tmp/scratch/RtmpWgKl1u’
‘~/tmp/scratch/RtmpXLtxGE’ ‘~/tmp/scratch/RtmpXfOv56’
‘~/tmp/scratch/RtmpXgsM9w’ ‘~/tmp/scratch/RtmpYDXwzn’
‘~/tmp/scratch/RtmpYGbWpU’ ‘~/tmp/scratch/RtmpYKav2g’
‘~/tmp/scratch/RtmpYOxlhO’ ‘~/tmp/scratch/RtmpYWuPEW’
‘~/tmp/scratch/RtmpYaYjWF’ ‘~/tmp/scratch/RtmpYigXBu’
‘~/tmp/scratch/RtmpYlPrzM’ ‘~/tmp/scratch/RtmpZvoc8k’
‘~/tmp/scratch/Rtmpa96q0Z’ ‘~/tmp/scratch/RtmpaFcOkO’
‘~/tmp/scratch/RtmpaJJIDg’ ‘~/tmp/scratch/RtmpaSLqqS’
‘~/tmp/scratch/Rtmpahf5s3’ ‘~/tmp/scratch/RtmpbpEZPH’
‘~/tmp/scratch/Rtmpc9rfOF’ ‘~/tmp/scratch/RtmpcLkQ5e’
‘~/tmp/scratch/RtmpcagYTx’ ‘~/tmp/scratch/RtmpckphoU’
‘~/tmp/scratch/RtmpdBro5h’ ‘~/tmp/scratch/RtmpdFkPMF’
‘~/tmp/scratch/RtmpdIMbor’ ‘~/tmp/scratch/RtmpdMsP7T’
‘~/tmp/scratch/RtmpdaWOVQ’ ‘~/tmp/scratch/RtmpdlWS08’
‘~/tmp/scratch/Rtmpe4pZ4w’ ‘~/tmp/scratch/RtmpeS2P3j’
‘~/tmp/scratch/RtmpeTnMm9’ ‘~/tmp/scratch/RtmpemQr9l’
‘~/tmp/scratch/Rtmpet17xb’ ‘~/tmp/scratch/RtmpfACEda’
‘~/tmp/scratch/RtmpfB2QYB’ ‘~/tmp/scratch/RtmpftfweS’
‘~/tmp/scratch/RtmpgWehoz’ ‘~/tmp/scratch/Rtmpherc5M’
‘~/tmp/scratch/Rtmphgc5Ko’ ‘~/tmp/scratch/Rtmphns98Q’
‘~/tmp/scratch/RtmphvZiNM’ ‘~/tmp/scratch/RtmpiDEgJi’
‘~/tmp/scratch/Rtmpieq6i4’ ‘~/tmp/scratch/RtmpjGvI7J’
‘~/tmp/scratch/RtmpjOIYS3’ ‘~/tmp/scratch/RtmpjXEMvi’
‘~/tmp/scratch/RtmpkLde72’ ‘~/tmp/scratch/RtmpkfYGo2’
‘~/tmp/scratch/RtmplyeakT’ ‘~/tmp/scratch/Rtmpml0BcJ’
‘~/tmp/scratch/RtmpnNM3fx’ ‘~/tmp/scratch/Rtmpo8xAvT’
‘~/tmp/scratch/RtmpoftEPz’ ‘~/tmp/scratch/RtmpojnnWW’
‘~/tmp/scratch/RtmppEubpy’ ‘~/tmp/scratch/RtmppI8cjy’
‘~/tmp/scratch/RtmppZnjFU’ ‘~/tmp/scratch/RtmppmaiSq’
‘~/tmp/scratch/Rtmpq1Wjx3’ ‘~/tmp/scratch/RtmpqIF2OD’
‘~/tmp/scratch/Rtmpr20xU3’ ‘~/tmp/scratch/Rtmprjfk1Y’
‘~/tmp/scratch/RtmpsXtP5E’ ‘~/tmp/scratch/RtmptOhcn8’
‘~/tmp/scratch/Rtmpu59tYC’ ‘~/tmp/scratch/RtmpuO710y’
‘~/tmp/scratch/RtmpuSMXzU’ ‘~/tmp/scratch/RtmpuY2W97’
‘~/tmp/scratch/RtmpvFxu0w’ ‘~/tmp/scratch/RtmpvVNqRB’
‘~/tmp/scratch/RtmpwcyKCL’ ‘~/tmp/scratch/Rtmpx2LToJ’
‘~/tmp/scratch/RtmpxK0zyN’ ‘~/tmp/scratch/RtmpxkFvxu’
‘~/tmp/scratch/Rtmpxxa9qt’ ‘~/tmp/scratch/Rtmpxy3cgA’
‘~/tmp/scratch/Rtmpy3m7Mm’ ‘~/tmp/scratch/RtmpyBWf8q’
‘~/tmp/scratch/RtmpyFCWbp’ ‘~/tmp/scratch/RtmpyODjUC’
‘~/tmp/scratch/RtmpyYTmhJ’ ‘~/tmp/scratch/Rtmpz0pg4l’
‘~/tmp/scratch/RtmpzLD4Jy’ ‘~/tmp/scratch/RtmpzdYM3z’
‘~/tmp/scratch/quarto-session23fce34843d40887’
‘~/tmp/scratch/xvfb-run.01Ajlr’ ‘~/tmp/scratch/xvfb-run.0XAyqp’
‘~/tmp/scratch/xvfb-run.1bkKQo’ ‘~/tmp/scratch/xvfb-run.1ivaf3’
‘~/tmp/scratch/xvfb-run.2Z8via’ ‘~/tmp/scratch/xvfb-run.4bggQs’
‘~/tmp/scratch/xvfb-run.6cr1Ep’ ‘~/tmp/scratch/xvfb-run.8R4JbA’
‘~/tmp/scratch/xvfb-run.8gdRKE’ ‘~/tmp/scratch/xvfb-run.9H8I9p’
‘~/tmp/scratch/xvfb-run.AF6kzB’ ‘~/tmp/scratch/xvfb-run.B5paAN’
‘~/tmp/scratch/xvfb-run.BgZiFU’ ‘~/tmp/scratch/xvfb-run.CaEIJQ’
‘~/tmp/scratch/xvfb-run.Cbbk32’ ‘~/tmp/scratch/xvfb-run.Dpiikt’
‘~/tmp/scratch/xvfb-run.GXU5gx’ ‘~/tmp/scratch/xvfb-run.Gux5Fx’
‘~/tmp/scratch/xvfb-run.IcH7d1’ ‘~/tmp/scratch/xvfb-run.JvWFr5’
‘~/tmp/scratch/xvfb-run.K8rRKq’ ‘~/tmp/scratch/xvfb-run.KBWCUz’
‘~/tmp/scratch/xvfb-run.L79WHE’ ‘~/tmp/scratch/xvfb-run.LY1NXp’
‘~/tmp/scratch/xvfb-run.M3S2sF’ ‘~/tmp/scratch/xvfb-run.N4bsLq’
‘~/tmp/scratch/xvfb-run.NuL7cG’ ‘~/tmp/scratch/xvfb-run.OgiroO’
‘~/tmp/scratch/xvfb-run.P9Ymso’ ‘~/tmp/scratch/xvfb-run.PJcjJI’
‘~/tmp/scratch/xvfb-run.PjJLlZ’ ‘~/tmp/scratch/xvfb-run.QDFRSo’
‘~/tmp/scratch/xvfb-run.QxtFLr’ ‘~/tmp/scratch/xvfb-run.SSlgJn’
‘~/tmp/scratch/xvfb-run.TZ0MKN’ ‘~/tmp/scratch/xvfb-run.U2pQcJ’
‘~/tmp/scratch/xvfb-run.UxEqMf’ ‘~/tmp/scratch/xvfb-run.VVbujz’
‘~/tmp/scratch/xvfb-run.WS2QES’ ‘~/tmp/scratch/xvfb-run.WSNKXk’
‘~/tmp/scratch/xvfb-run.Yk9FtJ’ ‘~/tmp/scratch/xvfb-run.a6CYPH’
‘~/tmp/scratch/xvfb-run.aIY6gI’ ‘~/tmp/scratch/xvfb-run.aW9q59’
‘~/tmp/scratch/xvfb-run.aWusNC’ ‘~/tmp/scratch/xvfb-run.b6y4cf’
‘~/tmp/scratch/xvfb-run.bKTgUO’ ‘~/tmp/scratch/xvfb-run.dyyage’
‘~/tmp/scratch/xvfb-run.eKGuCE’ ‘~/tmp/scratch/xvfb-run.fESeWM’
‘~/tmp/scratch/xvfb-run.gdd9cT’ ‘~/tmp/scratch/xvfb-run.gxyJXr’
‘~/tmp/scratch/xvfb-run.hiUaq9’ ‘~/tmp/scratch/xvfb-run.iW4dlW’
‘~/tmp/scratch/xvfb-run.j6K3k2’ ‘~/tmp/scratch/xvfb-run.jHaOWj’
‘~/tmp/scratch/xvfb-run.kTjR1O’ ‘~/tmp/scratch/xvfb-run.kXeJzv’
‘~/tmp/scratch/xvfb-run.npQeSh’ ‘~/tmp/scratch/xvfb-run.ntKEn7’
‘~/tmp/scratch/xvfb-run.o95ZbX’ ‘~/tmp/scratch/xvfb-run.pCCGvk’
‘~/tmp/scratch/xvfb-run.pCvUTg’ ‘~/tmp/scratch/xvfb-run.paBF6j’
‘~/tmp/scratch/xvfb-run.uVNBxt’ ‘~/tmp/scratch/xvfb-run.vEHlls’
‘~/tmp/scratch/xvfb-run.x8kbfE’ ‘~/tmp/scratch/xvfb-run.x9KVhT’
‘~/tmp/scratch/xvfb-run.xEAvEv’ ‘~/tmp/scratch/xvfb-run.y9nM95’
‘~/tmp/scratch/xvfb-run.yfovB1’
‘/dev/shm/sm_segment.gimli1.1001.aa670000.0’
‘~/.cache/pocl/uncached/tempfile_0Jewyg’
- DONE
Status: 2 ERRORs, 1 NOTE