Last updated on 2025-03-24 08:51:31 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.1.4 | 23.64 | 1936.00 | 1959.64 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.1.4 | 17.20 | 3224.27 | 3241.47 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.1.4 | 2461.01 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.1.4 | 240.63 | OK | |||
| r-devel-macos-arm64 | 1.1.4 | 68.00 | OK | |||
| r-devel-macos-x86_64 | 1.1.4 | 271.00 | OK | |||
| r-devel-windows-x86_64 | 1.1.4 | 20.00 | 133.00 | 153.00 | OK | |
| r-patched-linux-x86_64 | 1.1.4 | 20.06 | 1910.02 | 1930.08 | ERROR | |
| r-release-linux-x86_64 | 1.1.4 | 21.87 | 1824.82 | 1846.69 | ERROR | |
| r-release-macos-arm64 | 1.1.4 | 65.00 | OK | |||
| r-release-macos-x86_64 | 1.1.4 | 96.00 | OK | |||
| r-release-windows-x86_64 | 1.1.4 | 25.00 | 1463.00 | 1488.00 | ERROR | |
| r-oldrel-macos-arm64 | 1.1.4 | OK | ||||
| r-oldrel-macos-x86_64 | 1.1.4 | 164.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.1.4 | 26.00 | 171.00 | 197.00 | OK |
Version: 1.1.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [30m/44m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(proteus)
>
> test_check("proteus")
block 1
581 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3208555 Test loss: 0.3292923
epoch: 6 Train loss: 0.3276776 Test loss: 0.3326618
epoch: 9 Train loss: 0.3308174 Test loss: 0.3374829
epoch: 12 Train loss: 0.3325023 Test loss: 0.3314765
epoch: 15 Train loss: 0.3347159 Test loss: 0.3340681
epoch: 18 Train loss: 0.3257892 Test loss: 0.3321512
epoch: 21 Train loss: 0.3341001 Test loss: 0.3261094
early stop at epoch: 23 Train loss: 0.361671 Test loss: 0.3312888
block 2
1142 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3357078 Test loss: 0.3326254
epoch: 6 Train loss: 0.3281114 Test loss: 0.3332545
epoch: 9 Train loss: 0.3279071 Test loss: 0.3274727
epoch: 12 Train loss: 0.3413087 Test loss: 0.3353977
early stop at epoch: 12 Train loss: 0.4737277 Test loss: 0.3343993
final training on all 3
1703 sequence for training
epoch: 3 Train loss: 0.33419
epoch: 6 Train loss: 0.3344037
epoch: 9 Train loss: 0.3277188
epoch: 12 Train loss: 0.3307849
epoch: 15 Train loss: 0.3321109
epoch: 18 Train loss: 0.3288007
epoch: 21 Train loss: 0.3293982
epoch: 24 Train loss: 0.3310115
epoch: 27 Train loss: 0.3331793
epoch: 30 Train loss: 0.3361465
variational model based on normal latent distribution with 144 tensors and 8190 parameters
proteus: 896.329 sec elapsed
date and value gaps filled with kalman imputation
block 1
801 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3277009 Test loss: 0.3299768
epoch: 6 Train loss: 0.3294096 Test loss: 0.3293288
epoch: 9 Train loss: 0.327773 Test loss: 0.3295914
early stop at epoch: 10 Train loss: 0.3344282 Test loss: 0.3195932
block 2
1602 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3286678 Test loss: 0.3308007
epoch: 6 Train loss: 0.3273056 Test loss: 0.3329718
epoch: 9 Train loss: 0.3294753 Test loss: 0.3332845
epoch: 12 Train loss: 0.3286377 Test loss: 0.3307178
epoch: 15 Train loss: 0.3290938 Test loss: 0.3343507
early stop at epoch: 15 Train loss: 0.3255636 Test loss: 0.3423874
final training on all 3
2403 sequence for training
epoch: 3 Train loss: 0.3306837
epoch: 6 Train loss: 0.3286098
epoch: 9 Train loss: 0.3302987
epoch: 12 Train loss: 0.3308404
epoch: 15 Train loss: 0.3316363
epoch: 18 Train loss: 0.3305579
epoch: 21 Train loss: 0.3296561
epoch: 24 Train loss: 0.3288558
epoch: 27 Train loss: 0.3285954
epoch: 30 Train loss: 0.3292858
variational model based on normal latent distribution with 144 tensors and 60670 parameters
proteus: 1750.484 sec elapsed
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-main.R:44:13'): Correct outcome format and size for base outcome3 ──
Error: 'workers >= 1' is not TRUE
Backtrace:
▆
1. └─proteus::proteus_random_search(...) at test-main.R:44:13
2. └─future::plan(...)
3. └─future (local) plan_set(newStack, skip = .skip, cleanup = .cleanup, init = .init)
4. └─future (local) plan_init()
5. └─future (local) evaluator(NA, label = "future-plan-test", globals = FALSE, lazy = FALSE)
6. └─future (local) strategy(..., workers = workers, envir = envir)
7. └─future:::stop_if_not(...)
8. └─future:::stopf(...)
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.1.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [52m/44m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(proteus)
>
> test_check("proteus")
block 1
581 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3198162 Test loss: 0.3293215
epoch: 6 Train loss: 0.3289785 Test loss: 0.3339054
epoch: 9 Train loss: 0.3322983 Test loss: 0.3368582
epoch: 12 Train loss: 0.3325616 Test loss: 0.3332472
epoch: 15 Train loss: 0.3359867 Test loss: 0.3352856
epoch: 18 Train loss: 0.3244856 Test loss: 0.3308225
epoch: 21 Train loss: 0.3347179 Test loss: 0.3266473
early stop at epoch: 23 Train loss: 0.3616712 Test loss: 0.325471
block 2
1142 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3356928 Test loss: 0.3331294
epoch: 6 Train loss: 0.3277211 Test loss: 0.3346958
epoch: 9 Train loss: 0.3297483 Test loss: 0.3280328
epoch: 12 Train loss: 0.3419344 Test loss: 0.3356583
early stop at epoch: 13 Train loss: 0.2780542 Test loss: 0.3178143
final training on all 3
1703 sequence for training
epoch: 3 Train loss: 0.3341904
epoch: 6 Train loss: 0.3344039
epoch: 9 Train loss: 0.3277193
epoch: 12 Train loss: 0.330785
epoch: 15 Train loss: 0.332111
epoch: 18 Train loss: 0.3288006
epoch: 21 Train loss: 0.3293977
epoch: 24 Train loss: 0.3310112
epoch: 27 Train loss: 0.3331797
epoch: 30 Train loss: 0.3361475
variational model based on normal latent distribution with 144 tensors and 8190 parameters
proteus: 877.952 sec elapsed
date and value gaps filled with kalman imputation
block 1
801 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3287183 Test loss: 0.3312927
epoch: 6 Train loss: 0.3296211 Test loss: 0.331028
epoch: 9 Train loss: 0.3277457 Test loss: 0.3299924
epoch: 12 Train loss: 0.3284439 Test loss: 0.3302772
epoch: 15 Train loss: 0.3259831 Test loss: 0.3286346
epoch: 18 Train loss: 0.3293835 Test loss: 0.3321851
epoch: 21 Train loss: 0.331386 Test loss: 0.3308055
epoch: 24 Train loss: 0.3327497 Test loss: 0.3323402
epoch: 27 Train loss: 0.3272254 Test loss: 0.33141
epoch: 30 Train loss: 0.3298065 Test loss: 0.3286342
block 2
1602 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3261811 Test loss: 0.3313573
epoch: 6 Train loss: 0.3263921 Test loss: 0.3317576
epoch: 9 Train loss: 0.3287633 Test loss: 0.3321509
epoch: 12 Train loss: 0.3279021 Test loss: 0.3301415
early stop at epoch: 14 Train loss: 0.3262168 Test loss: 0.3316528
final training on all 3
2403 sequence for training
epoch: 3 Train loss: 0.3306837
epoch: 6 Train loss: 0.32861
epoch: 9 Train loss: 0.3302987
epoch: 12 Train loss: 0.3308404
epoch: 15 Train loss: 0.3316363
epoch: 18 Train loss: 0.3305584
epoch: 21 Train loss: 0.3296561
epoch: 24 Train loss: 0.3288558
epoch: 27 Train loss: 0.3285954
epoch: 30 Train loss: 0.3292858
variational model based on normal latent distribution with 144 tensors and 60670 parameters
proteus: 1775.469 sec elapsed
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-main.R:44:13'): Correct outcome format and size for base outcome3 ──
Error: 'workers >= 1' is not TRUE
Backtrace:
▆
1. └─proteus::proteus_random_search(...) at test-main.R:44:13
2. └─future::plan(...)
3. └─future (local) plan_set(newStack, skip = .skip, cleanup = .cleanup, init = .init)
4. └─future (local) plan_init()
5. └─future (local) evaluator(NA, label = "future-plan-test", globals = FALSE, lazy = FALSE)
6. └─future (local) strategy(..., workers = workers, envir = envir)
7. └─future:::stop_if_not(...)
8. └─future:::stopf(...)
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.1.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [36m/90m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(proteus)
>
> test_check("proteus")
block 1
581 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3155343 Test loss: 0.3273139
epoch: 6 Train loss: 0.3249268 Test loss: 0.3296802
epoch: 9 Train loss: 0.3270825 Test loss: 0.3330758
epoch: 12 Train loss: 0.3275744 Test loss: 0.3279538
epoch: 15 Train loss: 0.3294025 Test loss: 0.3303694
epoch: 18 Train loss: 0.3197001 Test loss: 0.3285398
epoch: 21 Train loss: 0.3295622 Test loss: 0.3234937
early stop at epoch: 23 Train loss: 0.3616711 Test loss: 0.3289381
block 2
1142 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.335314 Test loss: 0.3328599
epoch: 6 Train loss: 0.3273172 Test loss: 0.3335104
epoch: 9 Train loss: 0.3289269 Test loss: 0.3270852
epoch: 12 Train loss: 0.3415635 Test loss: 0.3349884
early stop at epoch: 12 Train loss: 0.4641147 Test loss: 0.3343989
final training on all 3
1703 sequence for training
epoch: 3 Train loss: 0.3341897
epoch: 6 Train loss: 0.3344023
epoch: 9 Train loss: 0.327718
epoch: 12 Train loss: 0.3308248
epoch: 15 Train loss: 0.332109
epoch: 18 Train loss: 0.3288006
epoch: 21 Train loss: 0.329397
epoch: 24 Train loss: 0.3310126
epoch: 27 Train loss: 0.3331795
epoch: 30 Train loss: 0.3361463
variational model based on normal latent distribution with 144 tensors and 8190 parameters
proteus: 3113.183 sec elapsed
date and value gaps filled with kalman imputation
block 1
801 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3222536 Test loss: 0.3279374
epoch: 6 Train loss: 0.3249767 Test loss: 0.3263984
epoch: 9 Train loss: 0.3227536 Test loss: 0.3253718
epoch: 12 Train loss: 0.3231193 Test loss: 0.3276188
epoch: 15 Train loss: 0.3222407 Test loss: 0.3248769
epoch: 18 Train loss: 0.3246608 Test loss: 0.329062
epoch: 21 Train loss: 0.323963 Test loss: 0.3269404
epoch: 24 Train loss: 0.3244791 Test loss: 0.327732
epoch: 27 Train loss: 0.3215661 Test loss: 0.3278306
epoch: 30 Train loss: 0.3260197 Test loss: 0.3256681
block 2
1602 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3286132 Test loss: 0.3310416
epoch: 6 Train loss: 0.3273862 Test loss: 0.33203
epoch: 9 Train loss: 0.3300706 Test loss: 0.3325945
epoch: 12 Train loss: 0.3294034 Test loss: 0.3305967
early stop at epoch: 14 Train loss: 0.3333334 Test loss: 0.3323325
final training on all 3
2403 sequence for training
epoch: 3 Train loss: 0.3306832
epoch: 6 Train loss: 0.3286034
epoch: 9 Train loss: 0.3302916
epoch: 12 Train loss: 0.3308355
epoch: 15 Train loss: 0.3316461
epoch: 18 Train loss: 0.3305568
epoch: 21 Train loss: 0.3296519
epoch: 24 Train loss: 0.3288555
epoch: 27 Train loss: 0.3285875
epoch: 30 Train loss: 0.3292778
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.1.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [29m/43m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(proteus)
>
> test_check("proteus")
block 1
581 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3199766 Test loss: 0.3303073
epoch: 6 Train loss: 0.3283107 Test loss: 0.3326725
epoch: 9 Train loss: 0.3332206 Test loss: 0.3351827
epoch: 12 Train loss: 0.330341 Test loss: 0.3314894
epoch: 15 Train loss: 0.3341951 Test loss: 0.3340576
epoch: 18 Train loss: 0.3234637 Test loss: 0.3308683
epoch: 21 Train loss: 0.3330943 Test loss: 0.3266735
early stop at epoch: 23 Train loss: 0.361669 Test loss: 0.3329948
block 2
1142 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3348371 Test loss: 0.3330842
epoch: 6 Train loss: 0.328921 Test loss: 0.3341379
epoch: 9 Train loss: 0.3306004 Test loss: 0.3277192
epoch: 12 Train loss: 0.3403678 Test loss: 0.3347638
early stop at epoch: 13 Train loss: 0.2544201 Test loss: 0.3178135
final training on all 3
1703 sequence for training
epoch: 3 Train loss: 0.33419
epoch: 6 Train loss: 0.3344037
epoch: 9 Train loss: 0.3277188
epoch: 12 Train loss: 0.3307849
epoch: 15 Train loss: 0.3321109
epoch: 18 Train loss: 0.3288007
epoch: 21 Train loss: 0.3293982
epoch: 24 Train loss: 0.3310115
epoch: 27 Train loss: 0.3331793
epoch: 30 Train loss: 0.3361465
variational model based on normal latent distribution with 144 tensors and 8190 parameters
proteus: 857.912 sec elapsed
date and value gaps filled with kalman imputation
block 1
801 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3267026 Test loss: 0.3296768
epoch: 6 Train loss: 0.329943 Test loss: 0.3291276
epoch: 9 Train loss: 0.3274457 Test loss: 0.3287133
epoch: 12 Train loss: 0.3279254 Test loss: 0.3295515
epoch: 15 Train loss: 0.326198 Test loss: 0.3271685
epoch: 18 Train loss: 0.327614 Test loss: 0.3306258
early stop at epoch: 18 Train loss: 0.3392735 Test loss: 0.3171166
block 2
1602 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3227517 Test loss: 0.3285946
epoch: 6 Train loss: 0.3218644 Test loss: 0.3298174
epoch: 9 Train loss: 0.3238878 Test loss: 0.3305683
epoch: 12 Train loss: 0.3223115 Test loss: 0.3277066
early stop at epoch: 14 Train loss: 0.3319073 Test loss: 0.3299995
final training on all 3
2403 sequence for training
epoch: 3 Train loss: 0.3306837
epoch: 6 Train loss: 0.3286098
epoch: 9 Train loss: 0.3302987
epoch: 12 Train loss: 0.3308404
epoch: 15 Train loss: 0.3316363
epoch: 18 Train loss: 0.3305579
epoch: 21 Train loss: 0.3296561
epoch: 24 Train loss: 0.3288558
epoch: 27 Train loss: 0.3285954
epoch: 30 Train loss: 0.3292858
variational model based on normal latent distribution with 144 tensors and 60670 parameters
proteus: 1706.05 sec elapsed
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-main.R:44:13'): Correct outcome format and size for base outcome3 ──
Error: 'workers >= 1' is not TRUE
Backtrace:
▆
1. └─proteus::proteus_random_search(...) at test-main.R:44:13
2. └─future::plan(...)
3. └─future (local) plan_set(newStack, skip = .skip, cleanup = .cleanup, init = .init)
4. └─future (local) plan_init()
5. └─future (local) evaluator(NA, label = "future-plan-test", globals = FALSE, lazy = FALSE)
6. └─future (local) strategy(..., workers = workers, envir = envir)
7. └─future:::stop_if_not(...)
8. └─future:::stopf(...)
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
Error: Test failures
Execution halted
Flavor: r-patched-linux-x86_64
Version: 1.1.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [28m/42m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(proteus)
>
> test_check("proteus")
block 1
581 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3228286 Test loss: 0.3299024
epoch: 6 Train loss: 0.3295888 Test loss: 0.3333441
epoch: 9 Train loss: 0.3322762 Test loss: 0.336259
epoch: 12 Train loss: 0.3336286 Test loss: 0.3313032
epoch: 15 Train loss: 0.3348622 Test loss: 0.3349924
epoch: 18 Train loss: 0.3279072 Test loss: 0.3317899
epoch: 21 Train loss: 0.3362914 Test loss: 0.3256471
early stop at epoch: 23 Train loss: 0.3616701 Test loss: 0.3296552
block 2
1142 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3334067 Test loss: 0.332717
epoch: 6 Train loss: 0.3246992 Test loss: 0.3336211
epoch: 9 Train loss: 0.3266206 Test loss: 0.3269263
epoch: 12 Train loss: 0.337995 Test loss: 0.3351788
early stop at epoch: 12 Train loss: 0.4641145 Test loss: 0.3343987
final training on all 3
1703 sequence for training
epoch: 3 Train loss: 0.33419
epoch: 6 Train loss: 0.3344037
epoch: 9 Train loss: 0.3277188
epoch: 12 Train loss: 0.3307849
epoch: 15 Train loss: 0.3321109
epoch: 18 Train loss: 0.3288007
epoch: 21 Train loss: 0.3293982
epoch: 24 Train loss: 0.3310115
epoch: 27 Train loss: 0.3331793
epoch: 30 Train loss: 0.3361465
variational model based on normal latent distribution with 144 tensors and 8190 parameters
proteus: 824.72 sec elapsed
date and value gaps filled with kalman imputation
block 1
801 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3257426 Test loss: 0.3279094
epoch: 6 Train loss: 0.3260519 Test loss: 0.3267367
epoch: 9 Train loss: 0.325309 Test loss: 0.3263512
early stop at epoch: 10 Train loss: 0.3386835 Test loss: 0.3214455
block 2
1602 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3265884 Test loss: 0.3296479
epoch: 6 Train loss: 0.3260211 Test loss: 0.3305092
epoch: 9 Train loss: 0.3282239 Test loss: 0.3324106
epoch: 12 Train loss: 0.328125 Test loss: 0.3286998
early stop at epoch: 14 Train loss: 0.3325073 Test loss: 0.337071
final training on all 3
2403 sequence for training
epoch: 3 Train loss: 0.3306837
epoch: 6 Train loss: 0.3286098
epoch: 9 Train loss: 0.3302987
epoch: 12 Train loss: 0.3308404
epoch: 15 Train loss: 0.3316363
epoch: 18 Train loss: 0.3305579
epoch: 21 Train loss: 0.3296561
epoch: 24 Train loss: 0.3288558
epoch: 27 Train loss: 0.3285954
epoch: 30 Train loss: 0.3292858
variational model based on normal latent distribution with 144 tensors and 60670 parameters
proteus: 1660.257 sec elapsed
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-main.R:44:13'): Correct outcome format and size for base outcome3 ──
Error: 'workers >= 1' is not TRUE
Backtrace:
▆
1. └─proteus::proteus_random_search(...) at test-main.R:44:13
2. └─future::plan(...)
3. └─future (local) plan_set(newStack, skip = .skip, cleanup = .cleanup, init = .init)
4. └─future (local) plan_init()
5. └─future (local) evaluator(NA, label = "future-plan-test", globals = FALSE, lazy = FALSE)
6. └─future (local) strategy(..., workers = workers, envir = envir)
7. └─future:::stop_if_not(...)
8. └─future:::stopf(...)
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
Error: Test failures
Execution halted
Flavor: r-release-linux-x86_64
Version: 1.1.4
Check: tests
Result: ERROR
Running 'testthat.R' [22m]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(proteus)
>
> test_check("proteus")
OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
block 1
581 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3215991 Test loss: 0.331024
epoch: 6 Train loss: 0.3307568 Test loss: 0.3311763
epoch: 9 Train loss: 0.330683 Test loss: 0.3368517
epoch: 12 Train loss: 0.3335751 Test loss: 0.3319144
epoch: 15 Train loss: 0.3356373 Test loss: 0.3340794
epoch: 18 Train loss: 0.3255968 Test loss: 0.3310284
epoch: 21 Train loss: 0.3348301 Test loss: 0.3251497
early stop at epoch: 23 Train loss: 0.3616548 Test loss: 0.3360403
block 2
1142 sequence for training
561 sequence for testing
epoch: 3 Train loss: 0.3360542 Test loss: 0.332772
epoch: 6 Train loss: 0.3278057 Test loss: 0.3345082
epoch: 9 Train loss: 0.3300868 Test loss: 0.327063
epoch: 12 Train loss: 0.3414339 Test loss: 0.3356665
early stop at epoch: 12 Train loss: 0.4641169 Test loss: 0.334399
final training on all 3
1703 sequence for training
OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
epoch: 3 Train loss: 0.3341906
epoch: 6 Train loss: 0.3344024
epoch: 9 Train loss: 0.3277184
epoch: 12 Train loss: 0.330829
epoch: 15 Train loss: 0.3321107
epoch: 18 Train loss: 0.3288029
epoch: 21 Train loss: 0.3293988
epoch: 24 Train loss: 0.3310117
epoch: 27 Train loss: 0.3331798
epoch: 30 Train loss: 0.3361483
variational model based on normal latent distribution with 144 tensors and 8190 parameters
proteus: 465.87 sec elapsed
date and value gaps filled with kalman imputation
OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
block 1
801 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3299823 Test loss: 0.3302145
epoch: 6 Train loss: 0.3289395 Test loss: 0.3303703
epoch: 9 Train loss: 0.3289778 Test loss: 0.3287616
epoch: 12 Train loss: 0.3285911 Test loss: 0.3318812
epoch: 15 Train loss: 0.3268126 Test loss: 0.3285984
epoch: 18 Train loss: 0.3304322 Test loss: 0.3322674
epoch: 21 Train loss: 0.3300107 Test loss: 0.3311387
epoch: 24 Train loss: 0.3306825 Test loss: 0.3306881
epoch: 27 Train loss: 0.3270397 Test loss: 0.3326884
early stop at epoch: 27 Train loss: 0.3396591 Test loss: 0.3305681
block 2
1602 sequence for training
801 sequence for testing
epoch: 3 Train loss: 0.3181313 Test loss: 0.3267334
epoch: 6 Train loss: 0.3175751 Test loss: 0.3282803
epoch: 9 Train loss: 0.3206582 Test loss: 0.3282898
epoch: 12 Train loss: 0.3189765 Test loss: 0.3256238
early stop at epoch: 14 Train loss: 0.3082462 Test loss: 0.3313481
final training on all 3
2403 sequence for training
epoch: 3 Train loss: 0.3306856
epoch: 6 Train loss: 0.3286107
epoch: 9 Train loss: 0.3302989
epoch: 12 Train loss: 0.3308403
epoch: 15 Train loss: 0.3316448
epoch: 18 Train loss: 0.3305569
epoch: 21 Train loss: 0.3296555
epoch: 24 Train loss: 0.3288527
epoch: 27 Train loss: 0.3285952
epoch: 30 Train loss: 0.3292743
variational model based on normal latent distribution with 144 tensors and 60670 parameters
proteus: 830.35 sec elapsed
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-main.R:44:13'): Correct outcome format and size for base outcome3 ──
Error: 'workers >= 1' is not TRUE
Backtrace:
▆
1. └─proteus::proteus_random_search(...) at test-main.R:44:13
2. └─future::plan(...)
3. └─future (local) plan_set(newStack, skip = .skip, cleanup = .cleanup, init = .init)
4. └─future (local) plan_init()
5. └─future (local) evaluator(NA, label = "future-plan-test", globals = FALSE, lazy = FALSE)
6. └─future (local) strategy(..., workers = workers, envir = envir)
7. └─future:::stop_if_not(...)
8. └─future:::stopf(...)
[ FAIL 1 | WARN 13747 | SKIP 0 | PASS 24 ]
Error: Test failures
In addition: Warning messages:
1: In for (handler in handlers) { :
closing unused connection 6 (<-CRANwin3.fb05.statistik.uni-dortmund.de:33286)
2: In for (handler in handlers) { :
closing unused connection 5 (<-CRANwin3.fb05.statistik.uni-dortmund.de:33286)
Execution halted
Flavor: r-release-windows-x86_64