CRAN Package Check Results for Maintainer ‘Michel Lang <michellang at gmail.com>’

Last updated on 2024-06-11 20:48:39 CEST.

Package ERROR WARN NOTE OK
backports 13
base64url 13
BatchExperiments 10 3
batchtools 12 1
checkmate 2 11
fail 13
mlr3 2 11
mlr3data 13
mlr3db 13
mlr3filters 13
mlr3learners 13
mlr3measures 13
mlr3misc 5 8
mlr3verse 13
mlr3viz 13

Package backports

Current CRAN status: OK: 13

Package base64url

Current CRAN status: OK: 13

Package BatchExperiments

Current CRAN status: NOTE: 10, OK: 3

Version: 1.4.3
Check: Rd files
Result: NOTE checkRd: (-1) ExperimentJob.Rd:14: Lost braces 14 | \item{\code{algo.id} [\code{character(1)}]:}{algo.id}{Algorithm ID.} | ^ checkRd: (-1) getAlgorithmIds.Rd:13: Lost braces 13 | \item{ids}{[code{integer}]\cr | ^ checkRd: (-1) getProblemIds.Rd:13: Lost braces 13 | \item{ids}{[code{integer}]\cr | ^ checkRd: (-1) makeExperimentRegistry.Rd:28: Lost braces 28 | Default is dQuote{<name of registry>_files} in current working directory.} | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

Package batchtools

Current CRAN status: NOTE: 12, OK: 1

Version: 0.9.17
Check: Rd files
Result: NOTE checkRd: (-1) JobCollection.Rd:41: Lost braces 41 | \item{namespaces}{code{character} with required packages to load via \code{\link[base]{requireNamespace}}.} | ^ checkRd: (-1) addAlgorithm.Rd:31: Lost braces 31 | Algorithms are functions which get the code{data} part as well as the problem instance (the return value of the | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

Version: 0.9.17
Check: Rd cross-references
Result: NOTE Undeclared package ‘Rmpi’ in Rd xrefs Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.9.17
Check: package dependencies
Result: NOTE Package suggested but not available for checking: ‘doMPI’ Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.9.17
Check: Rd cross-references
Result: NOTE Package unavailable to check Rd xrefs: ‘Rmpi’ Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package checkmate

Current CRAN status: WARN: 2, OK: 11

Version: 2.3.1
Check: whether package can be installed
Result: WARN Found the following significant warnings: checks.c:489:80: warning: unknown conversion type character 'j' in format [-Wformat=] checks.c:489:36: warning: too many arguments for format [-Wformat-extra-args] checks.c:493:80: warning: unknown conversion type character 'j' in format [-Wformat=] checks.c:493:36: warning: too many arguments for format [-Wformat-extra-args] checks.c:497:80: warning: unknown conversion type character 'j' in format [-Wformat=] checks.c:497:36: warning: too many arguments for format [-Wformat-extra-args] See 'd:/Rcompile/CRANpkg/local/4.5/checkmate.Rcheck/00install.out' for details. * used C compiler: 'gcc.exe (GCC) 13.2.0' Flavor: r-devel-windows-x86_64

Version: 2.3.1
Check: whether package can be installed
Result: WARN Found the following significant warnings: checks.c:489:80: warning: unknown conversion type character 'j' in format [-Wformat=] checks.c:489:36: warning: too many arguments for format [-Wformat-extra-args] checks.c:493:80: warning: unknown conversion type character 'j' in format [-Wformat=] checks.c:493:36: warning: too many arguments for format [-Wformat-extra-args] checks.c:497:80: warning: unknown conversion type character 'j' in format [-Wformat=] checks.c:497:36: warning: too many arguments for format [-Wformat-extra-args] See 'd:/Rcompile/CRANpkg/local/4.4/checkmate.Rcheck/00install.out' for details. * used C compiler: 'gcc.exe (GCC) 13.2.0' Flavor: r-release-windows-x86_64

Package fail

Current CRAN status: OK: 13

Package mlr3

Current CRAN status: ERROR: 2, OK: 11

Version: 0.19.0
Check: examples
Result: ERROR Running examples in ‘mlr3-Ex.R’ failed The error most likely occurred in: > ### Name: BenchmarkResult > ### Title: Container for Benchmarking Results > ### Aliases: BenchmarkResult > > ### ** Examples > > set.seed(123) > learners = list( + lrn("classif.featureless", predict_type = "prob"), + lrn("classif.rpart", predict_type = "prob") + ) > > design = benchmark_grid( + tasks = list(tsk("sonar"), tsk("penguins")), + learners = learners, + resamplings = rsmp("cv", folds = 3) + ) Error in as.data.table(palmerpenguins::penguins) : cannot return a promise (PROMSXP) object Calls: benchmark_grid ... dictionary_initialize_item -> do.call -> <Anonymous> -> as.data.table Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.19.0
Check: tests
Result: ERROR Running ‘testthat.R’ [278s/378s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + test_check("mlr3") + } Loading required namespace: Matrix ERROR [16:23:45.250] [mlr3] predict: Error from classif.debug->predict() ERROR [16:24:44.716] [mlr3] train: Error from classif.debug->train() ERROR [16:24:44.816] [mlr3] train: Error from classif.debug->train() ERROR [16:24:44.920] [mlr3] train: Error from classif.debug->train() ERROR [16:24:45.721] [mlr3] train: Error from classif.debug->train() ERROR [16:24:45.818] [mlr3] train: Error from classif.debug->train() ERROR [16:24:45.935] [mlr3] train: Error from classif.debug->train() ERROR [16:24:46.486] [mlr3] train: Error from classif.debug->train() ERROR [16:24:46.572] [mlr3] train: Error from classif.debug->train() ERROR [16:24:46.654] [mlr3] train: Error from classif.debug->train() WARN [16:25:35.072] [mlr3] train: Warning from classif.debug->train() ERROR [16:25:35.139] [mlr3] train: Error from classif.debug->train() WARN [16:25:35.308] [mlr3] predict: Warning from classif.debug->predict() ERROR [16:25:35.484] [mlr3] predict: Error from classif.debug->predict() WARN [16:25:35.913] [mlr3] train: Warning from classif.debug->train() WARN [16:25:35.981] [mlr3] train: Warning from classif.debug->train() WARN [16:25:36.058] [mlr3] train: Warning from classif.debug->train() WARN [16:25:36.274] [mlr3] train: Warning from classif.debug->train() ERROR [16:25:36.303] [mlr3] predict: Error from classif.debug->predict() WARN [16:25:36.351] [mlr3] train: Warning from classif.debug->train() ERROR [16:25:36.378] [mlr3] predict: Error from classif.debug->predict() WARN [16:25:36.420] [mlr3] train: Warning from classif.debug->train() ERROR [16:25:36.461] [mlr3] predict: Error from classif.debug->predict() WARN [16:25:36.999] [mlr3] train: Warning from classif.debug->train() WARN [16:25:37.066] [mlr3] train: Warning from classif.debug->train() WARN [16:25:37.134] [mlr3] train: Warning from classif.debug->train() WARN [16:25:37.410] [mlr3] train: Warning from classif.debug->train() ERROR [16:25:37.437] [mlr3] predict: Error from classif.debug->predict() WARN [16:25:37.479] [mlr3] train: Warning from classif.debug->train() ERROR [16:25:37.508] [mlr3] predict: Error from classif.debug->predict() WARN [16:25:37.569] [mlr3] train: Warning from classif.debug->train() ERROR [16:25:37.591] [mlr3] predict: Error from classif.debug->predict() ERROR [16:25:40.790] [mlr3] train: Error from classif.debug->train() ERROR [16:25:41.343] [mlr3] predict: Error from classif.debug->predict() ERROR [16:25:42.084] [mlr3] predict: Error from classif.debug->predict() ERROR [16:25:42.219] [mlr3] predict: Error from classif.debug->predict() ERROR [16:25:42.354] [mlr3] predict: Error from classif.debug->predict() ERROR [16:27:55.442] [mlr3] train: Error from classif.debug->train() [ FAIL 13 | WARN 11 | SKIP 3 | PASS 13092 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • On CRAN (2): 'test_Measure.R:128:3', 'test_parallel.R:91:3' • distr6 cannot be loaded (1): 'test_PredictionRegr.R:54:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_Measure.R:56:3'): check_prerequisites / task_properties ──────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Measure.R:56:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_PredictionClassif.R:144:3'): as_prediction_classif ───────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_PredictionClassif.R:144:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Resampling.R:124:3'): custom_cv ──────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Resampling.R:124:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Resampling.R:153:3'): loo with groups ────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Resampling.R:153:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Task.R:111:3'): Task rbind ───────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Task.R:111:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Task.R:457:3'): set_levels ───────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Task.R:457:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_convert_task.R:189:3'): formula converters ───────────────────── Error in `isTRUE(lhs)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. ├─mlr3::as_task_classif(species ~ ., penguins) at test_convert_task.R:189:3 2. └─mlr3:::as_task_classif.formula(species ~ ., penguins) 3. └─checkmate::assert_data_frame(data) 4. └─checkmate::checkDataFrame(...) 5. └─... %and% checkListTypes(x, types) 6. └─base::isTRUE(lhs) ── Error ('test_mlr_learners_classif_featureless.R:24:3'): Predict with prob ─── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_mlr_learners_classif_featureless.R:24:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_measures_similarity.R:1:1'): (code run outside of `test_that()`) ── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_mlr_measures_similarity.R:1:1 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_resampling_custom.R:7:3'): custom_cv accepts external factor ── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_mlr_resampling_custom.R:7:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ─────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3 2. ├─checkmate::expect_data_table(...) 3. │ └─checkmate::checkDataTable(...) 4. ├─data.table::as.data.table(d) 5. └─mlr3:::as.data.table.DictionaryTask(d) 6. ├─data.table::setkeyv(...) 7. │ └─data.table::is.data.table(x) 8. └─mlr3misc::map_dtr(...) 9. ├─data.table::rbindlist(...) 10. ├─base::unname(map(.x, .f, ...)) 11. └─mlr3misc::map(.x, .f, ...) 12. └─base::lapply(.x, .f, ...) 13. └─mlr3 (local) FUN(X[[i]], ...) 14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL) 15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 18. └─x$get(key) 19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args) 20. │ └─base::eval.parent(expr, n = 1L) 21. │ └─base::eval(expr, p) 22. │ └─base::eval(expr, p) 23. └─mlr3misc:::dictionary_get(self = self, key = key) 24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 25. ├─base::do.call(constructor, cargs) 26. └─mlr3 (local) `<fn>`() 27. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_tasks.R:18:5'): load_x ───────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5 2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE) 3. │ └─checkmate::checkR6(...) 4. └─mlr3 (local) fun() 5. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ───────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3 2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE) 3. ├─data.table::setkeyv(...) 4. │ └─data.table::is.data.table(x) 5. └─mlr3misc::map_dtr(...) 6. ├─data.table::rbindlist(...) 7. ├─base::unname(map(.x, .f, ...)) 8. └─mlr3misc::map(.x, .f, ...) 9. └─base::lapply(.x, .f, ...) 10. └─mlr3 (local) FUN(X[[i]], ...) 11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL) 12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 15. └─x$get(key) 16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args) 17. │ └─base::eval.parent(expr, n = 1L) 18. │ └─base::eval(expr, p) 19. │ └─base::eval(expr, p) 20. └─mlr3misc:::dictionary_get(self = self, key = key) 21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 22. ├─base::do.call(constructor, cargs) 23. └─mlr3 (local) `<fn>`() 24. └─data.table::as.data.table(palmerpenguins::penguins) [ FAIL 13 | WARN 11 | SKIP 3 | PASS 13092 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.19.0
Check: tests
Result: ERROR Running ‘testthat.R’ [261s/384s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("checkmate") + library("testthat") + library("mlr3") + test_check("mlr3") + } Loading required namespace: Matrix ERROR [14:24:57.312] [mlr3] predict: Error from classif.debug->predict() ERROR [14:26:05.357] [mlr3] train: Error from classif.debug->train() ERROR [14:26:05.507] [mlr3] train: Error from classif.debug->train() ERROR [14:26:05.666] [mlr3] train: Error from classif.debug->train() ERROR [14:26:06.182] [mlr3] train: Error from classif.debug->train() ERROR [14:26:06.324] [mlr3] train: Error from classif.debug->train() ERROR [14:26:06.522] [mlr3] train: Error from classif.debug->train() ERROR [14:26:07.604] [mlr3] train: Error from classif.debug->train() ERROR [14:26:07.709] [mlr3] train: Error from classif.debug->train() ERROR [14:26:07.865] [mlr3] train: Error from classif.debug->train() WARN [14:26:59.726] [mlr3] train: Warning from classif.debug->train() ERROR [14:26:59.787] [mlr3] train: Error from classif.debug->train() WARN [14:26:59.879] [mlr3] predict: Warning from classif.debug->predict() ERROR [14:26:59.981] [mlr3] predict: Error from classif.debug->predict() WARN [14:27:00.230] [mlr3] train: Warning from classif.debug->train() WARN [14:27:00.288] [mlr3] train: Warning from classif.debug->train() WARN [14:27:00.347] [mlr3] train: Warning from classif.debug->train() WARN [14:27:00.521] [mlr3] train: Warning from classif.debug->train() ERROR [14:27:00.542] [mlr3] predict: Error from classif.debug->predict() WARN [14:27:00.582] [mlr3] train: Warning from classif.debug->train() ERROR [14:27:00.616] [mlr3] predict: Error from classif.debug->predict() WARN [14:27:00.671] [mlr3] train: Warning from classif.debug->train() ERROR [14:27:00.696] [mlr3] predict: Error from classif.debug->predict() WARN [14:27:01.159] [mlr3] train: Warning from classif.debug->train() WARN [14:27:01.221] [mlr3] train: Warning from classif.debug->train() WARN [14:27:01.283] [mlr3] train: Warning from classif.debug->train() WARN [14:27:01.545] [mlr3] train: Warning from classif.debug->train() ERROR [14:27:01.568] [mlr3] predict: Error from classif.debug->predict() WARN [14:27:01.608] [mlr3] train: Warning from classif.debug->train() ERROR [14:27:01.629] [mlr3] predict: Error from classif.debug->predict() WARN [14:27:01.668] [mlr3] train: Warning from classif.debug->train() ERROR [14:27:01.689] [mlr3] predict: Error from classif.debug->predict() ERROR [14:27:04.101] [mlr3] train: Error from classif.debug->train() ERROR [14:27:04.412] [mlr3] predict: Error from classif.debug->predict() ERROR [14:27:04.756] [mlr3] predict: Error from classif.debug->predict() ERROR [14:27:04.847] [mlr3] predict: Error from classif.debug->predict() ERROR [14:27:04.966] [mlr3] predict: Error from classif.debug->predict() ERROR [14:29:16.040] [mlr3] train: Error from classif.debug->train() [ FAIL 13 | WARN 11 | SKIP 3 | PASS 13092 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • On CRAN (2): 'test_Measure.R:128:3', 'test_parallel.R:91:3' • distr6 cannot be loaded (1): 'test_PredictionRegr.R:54:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_Measure.R:56:3'): check_prerequisites / task_properties ──────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Measure.R:56:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_PredictionClassif.R:144:3'): as_prediction_classif ───────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_PredictionClassif.R:144:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Resampling.R:124:3'): custom_cv ──────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Resampling.R:124:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Resampling.R:153:3'): loo with groups ────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Resampling.R:153:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Task.R:111:3'): Task rbind ───────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Task.R:111:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_Task.R:457:3'): set_levels ───────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_Task.R:457:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_convert_task.R:189:3'): formula converters ───────────────────── Error in `isTRUE(lhs)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. ├─mlr3::as_task_classif(species ~ ., penguins) at test_convert_task.R:189:3 2. └─mlr3:::as_task_classif.formula(species ~ ., penguins) 3. └─checkmate::assert_data_frame(data) 4. └─checkmate::checkDataFrame(...) 5. └─... %and% checkListTypes(x, types) 6. └─base::isTRUE(lhs) ── Error ('test_mlr_learners_classif_featureless.R:24:3'): Predict with prob ─── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_mlr_learners_classif_featureless.R:24:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_measures_similarity.R:1:1'): (code run outside of `test_that()`) ── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_mlr_measures_similarity.R:1:1 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_resampling_custom.R:7:3'): custom_cv accepts external factor ── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─mlr3::tsk("penguins") at test_mlr_resampling_custom.R:7:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ─────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3 2. ├─checkmate::expect_data_table(...) 3. │ └─checkmate::checkDataTable(...) 4. ├─data.table::as.data.table(d) 5. └─mlr3:::as.data.table.DictionaryTask(d) 6. ├─data.table::setkeyv(...) 7. │ └─data.table::is.data.table(x) 8. └─mlr3misc::map_dtr(...) 9. ├─data.table::rbindlist(...) 10. ├─base::unname(map(.x, .f, ...)) 11. └─mlr3misc::map(.x, .f, ...) 12. └─base::lapply(.x, .f, ...) 13. └─mlr3 (local) FUN(X[[i]], ...) 14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL) 15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 18. └─x$get(key) 19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args) 20. │ └─base::eval.parent(expr, n = 1L) 21. │ └─base::eval(expr, p) 22. │ └─base::eval(expr, p) 23. └─mlr3misc:::dictionary_get(self = self, key = key) 24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 25. ├─base::do.call(constructor, cargs) 26. └─mlr3 (local) `<fn>`() 27. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_tasks.R:18:5'): load_x ───────────────────────────────────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5 2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE) 3. │ └─checkmate::checkR6(...) 4. └─mlr3 (local) fun() 5. └─data.table::as.data.table(palmerpenguins::penguins) ── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ───────── Error in `as.data.table(palmerpenguins::penguins)`: cannot return a promise (PROMSXP) object Backtrace: ▆ 1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3 2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE) 3. ├─data.table::setkeyv(...) 4. │ └─data.table::is.data.table(x) 5. └─mlr3misc::map_dtr(...) 6. ├─data.table::rbindlist(...) 7. ├─base::unname(map(.x, .f, ...)) 8. └─mlr3misc::map(.x, .f, ...) 9. └─base::lapply(.x, .f, ...) 10. └─mlr3 (local) FUN(X[[i]], ...) 11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL) 12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 15. └─x$get(key) 16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args) 17. │ └─base::eval.parent(expr, n = 1L) 18. │ └─base::eval(expr, p) 19. │ └─base::eval(expr, p) 20. └─mlr3misc:::dictionary_get(self = self, key = key) 21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 22. ├─base::do.call(constructor, cargs) 23. └─mlr3 (local) `<fn>`() 24. └─data.table::as.data.table(palmerpenguins::penguins) [ FAIL 13 | WARN 11 | SKIP 3 | PASS 13092 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Package mlr3data

Current CRAN status: OK: 13

Package mlr3db

Current CRAN status: OK: 13

Package mlr3filters

Current CRAN status: OK: 13

Package mlr3learners

Current CRAN status: OK: 13

Package mlr3measures

Current CRAN status: OK: 13

Package mlr3misc

Current CRAN status: NOTE: 5, OK: 8

Version: 0.15.0
Check: compiled code
Result: NOTE File ‘mlr3misc/libs/mlr3misc.so’: Found non-API call to R: ‘SETLENGTH’ Compiled code should not call non-API entry points in R. See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.15.0
Check: compiled code
Result: NOTE File 'mlr3misc/libs/x64/mlr3misc.dll': Found non-API call to R: 'SETLENGTH' Compiled code should not call non-API entry points in R. See 'Writing portable packages' in the 'Writing R Extensions' manual. Flavor: r-devel-windows-x86_64

Package mlr3verse

Current CRAN status: OK: 13

Package mlr3viz

Current CRAN status: OK: 13