• using R Under development (unstable) (2026-08-01 r90334)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     clang version 22.1.8 (https://github.com/llvm/llvm-project ca7933e47d3a3451d81e72ac174dcb5aa28b59d1)     flang version 22.1.8 (https://github.com/llvm/llvm-project ca7933e47d3a3451d81e72ac174dcb5aa28b59d1)
• running under: Fedora Linux 42 (Workstation Edition)
• using session charset: UTF-8 * current time: 2026-08-02 06:08:52 UTC
• using option ‘--no-stop-on-test-error’
• checking for file ‘mlr3pipelines/DESCRIPTION’ ... OK
• this is package ‘mlr3pipelines’ version ‘0.11.0’
• package encoding: UTF-8
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking if there is a namespace ... OK
• checking for executable files ... OK
• checking for hidden files and directories ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking whether package ‘mlr3pipelines’ can be installed ... [45s/46s] OK See the install log for details.
• checking installed package size ... OK
• checking package directory ... OK
• checking ‘build’ directory ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking for left-over files ... OK
• checking index information ... OK
• checking package subdirectories ... OK
• checking code files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... OK
• checking whether the package can be loaded with stated dependencies ... OK
• checking whether the package can be unloaded cleanly ... OK
• checking whether the namespace can be loaded with stated dependencies ... OK
• checking whether the namespace can be unloaded cleanly ... OK
• checking loading without being on the library search path ... OK
• checking whether startup messages can be suppressed ... 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 ... [94s/95s] NOTE Found calls to structure() using deprecated special names:   mlr3pipelines/R/PipeOpFilter.R (.Names: 1) '.Names' should be changed to 'names'.
• checking Rd files ... 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 installed files from ‘inst/doc’ ... OK
• checking files in ‘vignettes’ ... OK
• checking examples ... [25s/25s] ERROR Running examples in ‘mlr3pipelines-Ex.R’ failed The error most likely occurred in: > ### Name: mlr_pipeops_imputeconstant > ### Title: Impute Features by a Constant > ### Aliases: mlr_pipeops_imputeconstant PipeOpImputeConstant > > ### ** Examples > > library("mlr3") > > task = 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: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend Execution halted
• checking for unstated dependencies in ‘tests’ ... OK
• checking tests ... [312s/152s] ERROR   Running ‘testthat.R’ [312s/152s] Running the tests in ‘tests/testthat.R’ failed. Complete output:   > if (requireNamespace("testthat", quietly = TRUE)) {   + library("checkmate")   + library("testthat")   + library("mlr3")   + library("paradox")   + library("mlr3pipelines")   + test_check("mlr3pipelines")   + }   Starting 2 test processes.   > test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Predicting test_autotrain   > test_PipeOp.R: Training test_autotrain   > test_PipeOp.R: Predicting test_autotrain   Saving _problems/test_mlr_graphs_robustify-106.R   > test_multiplicities.R:   > test_multiplicities.R: [[1]]   > test_multiplicities.R: [1] 0   > test_multiplicities.R:   > test_multiplicities.R:   > test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"   > test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"   > test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"   > test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"   Saving _problems/test_pipeop_classbalancing-13.R   Saving _problems/test_pipeop_classweights-17.R   Saving _problems/test_pipeop_classweights-36.R   Saving _problems/test_pipeop_imputelearner-7.R   Saving _problems/test_pipeop_imputelearner-138.R   > test_pipeop_isomap.R: 2026-08-02 07:13:57.195433: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:57.19621: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:57.209267: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:57.227426: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:57.294144: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:57.294683: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:57.307184: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:57.324643: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:57.355891: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:57.356704: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:57.378521: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:57.419301: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:57.420832: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:57.452342: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:57.452951: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:57.473688: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:57.514658: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:57.516152: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:57.614123: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:57.614657: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:57.644676: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:57.744738: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:57.777888: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:57.778601: constructing knn graph   Saving _problems/test_pipeop_impute-452.R   > test_pipeop_isomap.R: 2026-08-02 07:13:57.807764: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:58.007207: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:58.011271: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:58.146867: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:58.14734: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:58.157447: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:58.175404: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:58.206554: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:58.207285: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:58.629354: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:58.672292: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:58.67351: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:58.802154: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:58.802637: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:58.812572: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:58.830756: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:58.875257: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:58.875952: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:58.892575: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:58.935195: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:58.936376: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:59.009979: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.010437: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.020408: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.03853: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:59.083606: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.084298: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.100646: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.14309: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:59.144319: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:59.223066: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.223585: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.234285: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.252611: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:59.302087: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.3028: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.320843: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.362739: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:59.364351: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:59.459907: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.460482: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.473955: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.491927: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:59.550699: L-Isomap embed START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.551517: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.583249: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.626446: embedding   > test_pipeop_isomap.R: 2026-08-02 07:13:59.627714: DONE   > test_pipeop_isomap.R: 2026-08-02 07:13:59.716309: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.716883: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.727412: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.745489: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:59.821687: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.822158: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.83212: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.850172: Classical Scaling   > test_pipeop_isomap.R: 2026-08-02 07:13:59.873197: Isomap START   > test_pipeop_isomap.R: 2026-08-02 07:13:59.873652: constructing knn graph   > test_pipeop_isomap.R: 2026-08-02 07:13:59.88309: calculating geodesic distances   > test_pipeop_isomap.R: 2026-08-02 07:13:59.901573: Classical Scaling   Saving _problems/test_pipeop_missind-4.R   > test_pipeop_nmf.R: [PipeOpNMFstate]   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_task_preproc.R: Training debug_affectcols   > test_pipeop_nmf.R: [PipeOpNMFstate]   Saving _problems/test_pipeop_unbranch-21.R   Saving _problems/test_pipeop_tunethreshold-36.R   Saving _problems/test_pipeop_tunethreshold-73.R   Saving _problems/test_selector-6.R   [ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]      ══ Skipped tests (128) ═════════════════════════════════════════════════════════   • On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',     'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',     'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',     'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',     'test_doublearrow.R:2:1', 'test_gunion.R:2:1',     'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',     'test_learner_weightedaverage.R:105:3',     'test_learner_weightedaverage.R:152:3', 'test_dictionary.R:7:3',     'test_meta.R:39:3', 'test_mlr_graphs_branching.R:26:3',     'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',     'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',     'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',     'test_pipeop_classbalancing.R:7:3', 'test_pipeop_classweights.R:10:3',     'test_pipeop_boxcox.R:7:3', 'test_pipeop_classweightsex.R:9:3',     'test_pipeop_colapply.R:9:3', 'test_pipeop_collapsefactors.R:6:3',     'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',     'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',     'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',     'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',     'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',     'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',     'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',     'test_pipeop_histbin.R:7:3', 'test_pipeop_ica.R:7:3',     'test_pipeop_featureunion.R:9:3', 'test_pipeop_featureunion.R:134:3',     'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',     'test_pipeop_impute.R:4:3', 'test_pipeop_kernelpca.R:9:3',     'test_pipeop_isomap.R:10:3', 'test_pipeop_learner.R:17:3',     'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_learnercv.R:3:3',     'test_pipeop_learnercv.R:43:3', 'test_pipeop_learnercv.R:73:3',     'test_pipeop_learnercv.R:92:3', 'test_pipeop_learnercv.R:141:3',     'test_pipeop_learnercv.R:157:3', 'test_pipeop_learnercv.R:203:3',     'test_pipeop_learnercv.R:249:3', 'test_pipeop_learnercv.R:278:3',     'test_pipeop_learnercv.R:332:3', 'test_pipeop_learnercv.R:359:3',     'test_pipeop_learnercv.R:389:3', 'test_pipeop_learnercv.R:399:3',     'test_pipeop_learnercv.R:432:3', 'test_pipeop_learnercv.R:472:3',     'test_pipeop_learnercv.R:481:3', 'test_pipeop_learnercv.R:498:3',     'test_pipeop_learnercv.R:506:3', 'test_pipeop_learnercv.R:530:3',     'test_pipeop_learnercv.R:554:3', 'test_pipeop_learnercv.R:634:3',     'test_pipeop_learnercv.R:654:3', 'test_pipeop_learnercv.R:669:3',     'test_pipeop_learnercv.R:754:3', 'test_pipeop_learnercv.R:799:3',     'test_pipeop_learnercv.R:827:3', 'test_pipeop_modelmatrix.R:7:3',     'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_mutate.R:9:3',     'test_pipeop_nearmiss.R:7:3', 'test_pipeop_multiplicityimply.R:9:3',     'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',     'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',     'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',     'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',     'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',     'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',     'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',     'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',     'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',     'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',     'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',     'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',     'test_pipeop_task_preproc.R:4:3', 'test_pipeop_task_preproc.R:14:3',     'test_pipeop_nmf.R:6:3', 'test_pipeop_tomek.R:7:3',     'test_pipeop_textvectorizer.R:37:3', 'test_pipeop_textvectorizer.R:186:3',     'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',     'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',     'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',     'test_ppl.R:63:3', 'test_typecheck.R:188:3'   • Skipping (1): 'test_GraphLearner.R:1278:3'   • empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'      ══ Failed tests ════════════════════════════════════════════════════════════════   ── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──   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_mlr_graphs_robustify.R:106:3    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_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3     2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)     3. │ └─base::eval.parent(expr, n = 1L)     4. │ └─base::eval(expr, p)     5. │ └─base::eval(expr, p)     6. └─mlr3misc:::dictionary_get(self = self, key = key)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))   ── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3     2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)     3. │ └─base::eval.parent(expr, n = 1L)     4. │ └─base::eval(expr, p)     5. │ └─base::eval(expr, p)     6. └─mlr3misc:::dictionary_get(self = self, key = key)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))   ── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──   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_pipeop_classweights.R:36:5    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_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3     2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)     3. │ └─base::eval.parent(expr, n = 1L)     4. │ └─base::eval(expr, p)     5. │ └─base::eval(expr, p)     6. └─mlr3misc:::dictionary_get(self = self, key = key)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))   ── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3     2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)     3. │ └─base::eval.parent(expr, n = 1L)     4. │ └─base::eval(expr, p)     5. │ └─base::eval(expr, p)     6. └─mlr3misc:::dictionary_get(self = self, key = key)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))   ── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──   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_pipeop_impute.R:452:3    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_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3     2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)     3. │ └─base::eval.parent(expr, n = 1L)     4. │ └─base::eval(expr, p)     5. │ └─base::eval(expr, p)     6. └─mlr3misc:::dictionary_get(self = self, key = key)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))   ── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3     2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)     3. │ └─base::eval.parent(expr, n = 1L)     4. │ └─base::eval(expr, p)     5. │ └─base::eval(expr, p)     6. └─mlr3misc:::dictionary_get(self = self, key = key)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))   ── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────   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_pipeop_tunethreshold.R:36:3    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_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3     2. │ └─mlr3pipelines:::.__Graph__train(...)     3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)     4. └─mlr3::tsk("pima")     5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)     6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))   ── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────   Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"   Backtrace:        ▆     1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3     2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)     3. │ └─base::eval.parent(expr, n = 1L)     4. │ └─base::eval(expr, p)     5. │ └─base::eval(expr, p)     6. └─mlr3misc:::dictionary_get(self = self, key = key)     7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)     8. ├─base::do.call(constructor, cargs)     9. └─mlr3 (local) `<fn>`()    10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))      [ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]   Error:   ! Test failures.   Execution halted
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes ... OK
• checking re-building of vignette outputs ... OK
• checking PDF version of manual ... [24s/24s] OK
• checking HTML version of manual ... [25s/26s] OK
• checking for non-standard things in the check directory ... OK
• checking for detritus in the temp directory ... OK
• DONE

Status: 2 ERRORs, 1 NOTE