Last updated on 2025-10-31 00:51:09 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2025.6.23 | 4.36 | 353.43 | 357.79 | OK | |
| r-devel-linux-x86_64-debian-gcc | 2025.6.23 | 3.81 | 253.10 | 256.91 | OK | |
| r-devel-linux-x86_64-fedora-clang | 2025.6.23 | 14.00 | 527.20 | 541.20 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 2025.6.23 | 28.00 | 549.20 | 577.20 | OK | |
| r-devel-windows-x86_64 | 2025.6.23 | 7.00 | 286.00 | 293.00 | ERROR | |
| r-patched-linux-x86_64 | 2025.6.23 | 5.30 | 335.62 | 340.92 | OK | |
| r-release-linux-x86_64 | 2025.6.23 | 5.58 | 332.37 | 337.95 | OK | |
| r-release-macos-arm64 | 2025.6.23 | 3.00 | 150.00 | 153.00 | OK | |
| r-release-macos-x86_64 | 2025.6.23 | 4.00 | 300.00 | 304.00 | OK | |
| r-release-windows-x86_64 | 2025.6.23 | 8.00 | 282.00 | 290.00 | ERROR | |
| r-oldrel-macos-arm64 | 2025.6.23 | 3.00 | 148.00 | 151.00 | OK | |
| r-oldrel-macos-x86_64 | 2025.6.23 | 4.00 | 286.00 | 290.00 | OK | |
| r-oldrel-windows-x86_64 | 2025.6.23 | 9.00 | 403.00 | 412.00 | ERROR |
Version: 2025.6.23
Check: tests
Result: ERROR
Running 'testthat.R' [12s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> data.table::setDTthreads(1L)
> if(require(testthat))test_check("mlr3resampling")
Loading required package: testthat
Loading required package: mlr3resampling
INFO [16:36:31.140] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorEvals> [n_evals=1, k=0]'
INFO [16:36:31.197] [bbotk] Evaluating 1 configuration(s)
INFO [16:36:31.232] [mlr3] Running benchmark with 1 resampling iterations
INFO [16:36:31.392] [mlr3] Applying learner 'regr.mlp' on task 'easy' (iter 1/1)
Flavor: r-devel-windows-x86_64
Version: 2025.6.23
Check: tests
Result: ERROR
Running 'testthat.R' [14s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> data.table::setDTthreads(1L)
> if(require(testthat))test_check("mlr3resampling")
Loading required package: testthat
Loading required package: mlr3resampling
INFO [05:52:00.261] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorEvals> [n_evals=1, k=0]'
INFO [05:52:00.308] [bbotk] Evaluating 1 configuration(s)
INFO [05:52:00.329] [mlr3] Running benchmark with 1 resampling iterations
INFO [05:52:00.458] [mlr3] Applying learner 'regr.mlp' on task 'easy' (iter 1/1)
INFO [05:52:02.115] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorEvals> [n_evals=1, k=0]'
INFO [05:52:02.120] [bbotk] Evaluating 1 configuration(s)
INFO [05:52:02.135] [mlr3] Running benchmark with 1 resampling iterations
INFO [05:52:02.186] [mlr3] Applying learner 'regr.mlp' on task 'easy' (iter 1/1)
[ FAIL 2 | WARN 3 | SKIP 0 | PASS 101 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-CRAN.R:672:3'): mlr3torch history saved ────────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─mlr3resampling::proj_compute(pkg.proj.dir) at test-CRAN.R:672:3
2. └─this.learner$train(this.task, set_rows("train"))
3. └─mlr3:::.__Learner__train(...)
4. └─mlr3:::learner_train(...)
5. └─mlr3misc::encapsulate(...)
6. ├─mlr3misc::invoke(...)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─mlr3 (local) .f(learner = `<S3: AutoTuner>`, task = `<S3: TaskRegr>`)
11. └─get_private(learner)$.train(task)
12. └─mlr3tuning:::.__AutoTuner__.train(...)
13. └─self$tuner$optimize(instance)
14. └─mlr3tuning:::.__TunerBatch__optimize(...)
15. └─bbotk::optimize_batch_default(inst, self)
16. ├─base::tryCatch(...)
17. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
18. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
19. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
20. └─get_private(optimizer)$.optimize(instance)
21. └─mlr3tuning:::.__TunerBatchInternal__.optimize(...)
22. └─inst$eval_batch(data.table())
23. └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
24. └─self$objective$eval_many(list(list()))
25. └─bbotk:::.__Objective__eval_many(...)
26. ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
27. │ └─base::eval.parent(expr, n = 1L)
28. │ └─base::eval(expr, p)
29. │ └─base::eval(expr, p)
30. └─private$.eval_many(xss = xss, resampling = `<list>`)
31. └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
32. └─mlr3::benchmark(...)
33. └─mlr3:::future_map(...)
34. └─future.apply::future_mapply(...)
35. └─future.apply:::future_xapply(...)
36. └─base::tryCatch(...)
37. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
38. └─base (local) tryCatchOne(...)
39. └─value[[3L]](cond)
40. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-CRAN.R:775:3'): mlr3torch history and weights saved ────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─mlr3resampling::proj_compute_until_done(pkg.proj.dir) at test-CRAN.R:775:3
2. └─mlr3resampling::proj_compute(proj_dir, verbose = verbose)
3. └─this.learner$train(this.task, set_rows("train"))
4. └─mlr3:::.__Learner__train(...)
5. └─mlr3:::learner_train(...)
6. └─mlr3misc::encapsulate(...)
7. ├─mlr3misc::invoke(...)
8. │ └─base::eval.parent(expr, n = 1L)
9. │ └─base::eval(expr, p)
10. │ └─base::eval(expr, p)
11. └─mlr3 (local) .f(learner = `<S3: AutoTuner>`, task = `<S3: TaskRegr>`)
12. └─get_private(learner)$.train(task)
13. └─mlr3tuning:::.__AutoTuner__.train(...)
14. └─self$tuner$optimize(instance)
15. └─mlr3tuning:::.__TunerBatch__optimize(...)
16. └─bbotk::optimize_batch_default(inst, self)
17. ├─base::tryCatch(...)
18. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
19. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
20. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
21. └─get_private(optimizer)$.optimize(instance)
22. └─mlr3tuning:::.__TunerBatchInternal__.optimize(...)
23. └─inst$eval_batch(data.table())
24. └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
25. └─self$objective$eval_many(list(list()))
26. └─bbotk:::.__Objective__eval_many(...)
27. ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
28. │ └─base::eval.parent(expr, n = 1L)
29. │ └─base::eval(expr, p)
30. │ └─base::eval(expr, p)
31. └─private$.eval_many(xss = xss, resampling = `<list>`)
32. └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
33. └─mlr3::benchmark(...)
34. └─mlr3:::future_map(...)
35. └─future.apply::future_mapply(...)
36. └─future.apply:::future_xapply(...)
37. └─base::tryCatch(...)
38. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
39. └─base (local) tryCatchOne(...)
40. └─value[[3L]](cond)
41. └─future.apply:::onError(e, futures = fs, debug = debug)
[ FAIL 2 | WARN 3 | SKIP 0 | PASS 101 ]
Error: Test failures
Execution halted
Flavor: r-release-windows-x86_64
Version: 2025.6.23
Check: tests
Result: ERROR
Running 'testthat.R' [20s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> data.table::setDTthreads(1L)
> if(require(testthat))test_check("mlr3resampling")
Loading required package: testthat
Loading required package: mlr3resampling
INFO [00:05:13.771] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorEvals> [n_evals=1, k=0]'
INFO [00:05:13.854] [bbotk] Evaluating 1 configuration(s)
INFO [00:05:13.889] [mlr3] Running benchmark with 1 resampling iterations
INFO [00:05:14.084] [mlr3] Applying learner 'regr.mlp' on task 'easy' (iter 1/1)
INFO [00:05:16.250] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorEvals> [n_evals=1, k=0]'
INFO [00:05:16.256] [bbotk] Evaluating 1 configuration(s)
INFO [00:05:16.272] [mlr3] Running benchmark with 1 resampling iterations
INFO [00:05:16.314] [mlr3] Applying learner 'regr.mlp' on task 'easy' (iter 1/1)
[ FAIL 2 | WARN 3 | SKIP 0 | PASS 101 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-CRAN.R:672:3'): mlr3torch history saved ────────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─mlr3resampling::proj_compute(pkg.proj.dir) at test-CRAN.R:672:3
2. └─this.learner$train(this.task, set_rows("train"))
3. └─mlr3:::.__Learner__train(...)
4. └─mlr3:::learner_train(...)
5. └─mlr3misc::encapsulate(...)
6. ├─mlr3misc::invoke(...)
7. │ └─base::eval.parent(expr, n = 1L)
8. │ └─base::eval(expr, p)
9. │ └─base::eval(expr, p)
10. └─mlr3 (local) .f(learner = `<S3: AutoTuner>`, task = `<S3: TaskRegr>`)
11. └─get_private(learner)$.train(task)
12. └─mlr3tuning:::.__AutoTuner__.train(...)
13. └─self$tuner$optimize(instance)
14. └─mlr3tuning:::.__TunerBatch__optimize(...)
15. └─bbotk::optimize_batch_default(inst, self)
16. ├─base::tryCatch(...)
17. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
18. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
19. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
20. └─get_private(optimizer)$.optimize(instance)
21. └─mlr3tuning:::.__TunerBatchInternal__.optimize(...)
22. └─inst$eval_batch(data.table())
23. └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
24. └─self$objective$eval_many(list(list()))
25. └─bbotk:::.__Objective__eval_many(...)
26. ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
27. │ └─base::eval.parent(expr, n = 1L)
28. │ └─base::eval(expr, p)
29. │ └─base::eval(expr, p)
30. └─private$.eval_many(xss = xss, resampling = `<list>`)
31. └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
32. └─mlr3::benchmark(...)
33. └─mlr3:::future_map(...)
34. └─future.apply::future_mapply(...)
35. └─future.apply:::future_xapply(...)
36. └─base::tryCatch(...)
37. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
38. └─base (local) tryCatchOne(...)
39. └─value[[3L]](cond)
40. └─future.apply:::onError(e, futures = fs, debug = debug)
── Error ('test-CRAN.R:775:3'): mlr3torch history and weights saved ────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─mlr3resampling::proj_compute_until_done(pkg.proj.dir) at test-CRAN.R:775:3
2. └─mlr3resampling::proj_compute(proj_dir, verbose = verbose)
3. └─this.learner$train(this.task, set_rows("train"))
4. └─mlr3:::.__Learner__train(...)
5. └─mlr3:::learner_train(...)
6. └─mlr3misc::encapsulate(...)
7. ├─mlr3misc::invoke(...)
8. │ └─base::eval.parent(expr, n = 1L)
9. │ └─base::eval(expr, p)
10. │ └─base::eval(expr, p)
11. └─mlr3 (local) .f(learner = `<S3: AutoTuner>`, task = `<S3: TaskRegr>`)
12. └─get_private(learner)$.train(task)
13. └─mlr3tuning:::.__AutoTuner__.train(...)
14. └─self$tuner$optimize(instance)
15. └─mlr3tuning:::.__TunerBatch__optimize(...)
16. └─bbotk::optimize_batch_default(inst, self)
17. ├─base::tryCatch(...)
18. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
19. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
20. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
21. └─get_private(optimizer)$.optimize(instance)
22. └─mlr3tuning:::.__TunerBatchInternal__.optimize(...)
23. └─inst$eval_batch(data.table())
24. └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
25. └─self$objective$eval_many(list(list()))
26. └─bbotk:::.__Objective__eval_many(...)
27. ├─mlr3misc::invoke(private$.eval_many, xss = xss, .args = self$constants$values)
28. │ └─base::eval.parent(expr, n = 1L)
29. │ └─base::eval(expr, p)
30. │ └─base::eval(expr, p)
31. └─private$.eval_many(xss = xss, resampling = `<list>`)
32. └─mlr3tuning:::.__ObjectiveTuningBatch__.eval_many(...)
33. └─mlr3::benchmark(...)
34. └─mlr3:::future_map(...)
35. └─future.apply::future_mapply(...)
36. └─future.apply:::future_xapply(...)
37. └─base::tryCatch(...)
38. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
39. └─base (local) tryCatchOne(...)
40. └─value[[3L]](cond)
41. └─future.apply:::onError(e, futures = fs, debug = debug)
[ FAIL 2 | WARN 3 | SKIP 0 | PASS 101 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-x86_64