Last updated on 2025-04-12 12:50:08 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.1.0 | 14.67 | 1095.44 | 1110.11 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.1.0 | 9.48 | 1262.76 | 1272.24 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.1.0 | 1248.46 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.1.0 | 1076.06 | OK | |||
| r-devel-macos-arm64 | 1.1.0 | 280.00 | OK | |||
| r-devel-macos-x86_64 | 1.1.0 | 70.00 | OK | |||
| r-devel-windows-x86_64 | 1.1.0 | 16.00 | 260.00 | 276.00 | ERROR | |
| r-patched-linux-x86_64 | 1.1.0 | 13.84 | 1218.94 | 1232.78 | OK | |
| r-release-linux-x86_64 | 1.1.0 | OK | ||||
| r-release-macos-arm64 | 1.1.0 | 44.00 | OK | |||
| r-release-macos-x86_64 | 1.1.0 | 73.00 | OK | |||
| r-release-windows-x86_64 | 1.1.0 | 20.00 | 455.00 | 475.00 | OK | |
| r-oldrel-macos-arm64 | 1.1.0 | OK | ||||
| r-oldrel-macos-x86_64 | 1.1.0 | 60.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.1.0 | 20.00 | 527.00 | 547.00 | OK |
Version: 1.1.0
Check: tests
Result: ERROR
Running 'testthat.R' [156s]
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(spinner)
>
> test_check("spinner")
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: 10 Train loss: 0.7582316 Val loss: 0.7391504
epoch: 20 Train loss: 0.7072309 Val loss: 0.837458
epoch: 30 Train loss: 0.7379733 Val loss: 0.8203105
early stop at epoch: 30 Train loss: 0.7379733 Val loss: 0.8203105
epoch: 10 Train loss: 0.7947251 Val loss: 0.8099958
epoch: 20 Train loss: 0.7160762 Val loss: 0.768764
epoch: 30 Train loss: 0.7567238 Val loss: 0.8039885
early stop at epoch: 30 Train loss: 0.7567238 Val loss: 0.8039885
epoch: 10 Train loss: 0.7418396 Val loss: 0.5419666
epoch: 20 Train loss: 0.8346889 Val loss: 0.7731465
epoch: 30 Train loss: 0.7708114 Val loss: 0.8349199
epoch: 40 Train loss: 0.7779557 Val loss: 0.5689498
early stop at epoch: 48 Train loss: 0.5047165 Val loss: 0.7209942
epoch: 10 Train loss: 0.7208713 Val loss: 0.7897916
epoch: 20 Train loss: 0.7392786 Val loss: 0.7631863
epoch: 30 Train loss: 0.702674 Val loss: 0.611358
epoch: 40 Train loss: 0.7129558 Val loss: 0.4897506
epoch: 50 Train loss: 0.7146271 Val loss: 0.2373372
epoch: 60 Train loss: 0.7795256 Val loss: 0.5987026
epoch: 70 Train loss: 0.7179822 Val loss: 0.7206399
epoch: 80 Train loss: 0.7707198 Val loss: 0.4507432
epoch: 90 Train loss: 0.7182872 Val loss: 0.5520208
epoch: 100 Train loss: 0.735483 Val loss: 0.794884
time: 43.58 sec elapsed
epoch: 10 Train loss: 0.737593 Val loss: 0.7964824
epoch: 20 Train loss: 0.7628953 Val loss: 0.7709303
epoch: 30 Train loss: 0.7256792 Val loss: 0.8058355
early stop at epoch: 30 Train loss: 0.7256792 Val loss: 0.8058355
epoch: 10 Train loss: 0.7123053 Val loss: 0.7207983
epoch: 20 Train loss: 0.7652806 Val loss: 0.7287926
epoch: 30 Train loss: 0.6607275 Val loss: 0.7177234
early stop at epoch: 34 Train loss: 0.7106651 Val loss: 0.7581643
epoch: 10 Train loss: 0.7217296 Val loss: 0.6899732
epoch: 20 Train loss: 0.6493021 Val loss: 0.6095485
epoch: 30 Train loss: 0.6911808 Val loss: 0.6813338
early stop at epoch: 38 Train loss: 0.6191614 Val loss: 0.7227661
epoch: 10 Train loss: 0.6781733 Val loss: 0.6063893
epoch: 20 Train loss: 0.6293673 Val loss: 0.6771112
epoch: 30 Train loss: 0.6510519 Val loss: 0.6451957
early stop at epoch: 37 Train loss: 0.6193765 Val loss: 0.7445753
time: 26.72 sec elapsed
epoch: 10 Train loss: 0.3323455 Val loss: 0.2057697
epoch: 20 Train loss: 0.3128992 Val loss: 0.2961397
epoch: 30 Train loss: 0.3213869 Val loss: 0.3488863
early stop at epoch: 31 Train loss: 0.2884755 Val loss: 0.3758954
epoch: 10 Train loss: 0.3286971 Val loss: 0.4907381
epoch: 20 Train loss: 0.2883044 Val loss: 0.3324824
epoch: 30 Train loss: 0.3368618 Val loss: 0.2853904
early stop at epoch: 32 Train loss: 0.3554772 Val loss: 0.4938169
epoch: 10 Train loss: 0.2695414 Val loss: 0.2147921
epoch: 20 Train loss: 0.2195314 Val loss: 0.1746842
epoch: 30 Train loss: 0.2348154 Val loss: 0.3264962
early stop at epoch: 30 Train loss: 0.2348154 Val loss: 0.3264962
epoch: 10 Train loss: 0.2818162 Val loss: 0.3142842
epoch: 20 Train loss: 0.2333577 Val loss: 0.3371244
epoch: 30 Train loss: 0.2111709 Val loss: 0.1535637
early stop at epoch: 33 Train loss: 0.2429444 Val loss: 0.5181284
time: 24.42 sec elapsed
epoch: 10 Train loss: 1.062477 Val loss: 0.4094163
epoch: 20 Train loss: 1.062477 Val loss: 0.4131407
epoch: 30 Train loss: 1.062477 Val loss: 0.4131407
epoch: 40 Train loss: 1.062477 Val loss: 0.4131407
epoch: 50 Train loss: 1.062477 Val loss: 0.4131407
epoch: 60 Train loss: 1.062477 Val loss: 0.4131407
epoch: 70 Train loss: 1.062477 Val loss: 0.4131407
epoch: 80 Train loss: 1.062477 Val loss: 0.4131407
epoch: 90 Train loss: 1.062477 Val loss: 0.4131407
epoch: 100 Train loss: 1.062477 Val loss: 0.4131407
epoch: 10 Train loss: 0.4641428 Val loss: 0.6449512
epoch: 20 Train loss: 0.4641428 Val loss: 0.6449512
epoch: 30 Train loss: 0.4641428 Val loss: 0.6449512
early stop at epoch: 32 Train loss: 0.4641428 Val loss: 0.6756557
epoch: 10 Train loss: 0.3412416 Val loss: 0.3526876
epoch: 20 Train loss: 0.3412416 Val loss: 0.3527545
epoch: 30 Train loss: 0.375169 Val loss: 0.3526876
early stop at epoch: 30 Train loss: 0.375169 Val loss: 0.3526876
time: 14.17 sec elapsed
epoch: 10 Train loss: 0.5028319 Val loss: 0.5703739
epoch: 20 Train loss: 0.5028319 Val loss: 0.5852911
epoch: 30 Train loss: 0.5028319 Val loss: 0.5871185
early stop at epoch: 30 Train loss: 0.5028319 Val loss: 0.5871185
epoch: 10 Train loss: 0.712052 Val loss: 0.7242787
epoch: 20 Train loss: 0.712052 Val loss: 0.6541753
epoch: 30 Train loss: 0.712052 Val loss: 0.7090073
epoch: 40 Train loss: 0.712052 Val loss: 0.6541753
epoch: 50 Train loss: 0.712052 Val loss: 0.6840382
epoch: 60 Train loss: 0.712052 Val loss: 0.6578554
epoch: 70 Train loss: 0.7296538 Val loss: 0.6514337
epoch: 80 Train loss: 0.712052 Val loss: 0.7169247
epoch: 90 Train loss: 0.712052 Val loss: 0.65622
early stop at epoch: 95 Train loss: 0.7360142 Val loss: 0.671432
epoch: 10 Train loss: 0.6344905 Val loss: 0.6964411
epoch: 20 Train loss: 0.6629397 Val loss: 0.6997733
epoch: 30 Train loss: 0.6344905 Val loss: 0.7371905
early stop at epoch: 30 Train loss: 0.6344905 Val loss: 0.7371905
time: 15.05 sec elapsed
epoch: 10 Train loss: 0.6652319 Val loss: 0.638321
epoch: 20 Train loss: 0.6470566 Val loss: 0.5407597
epoch: 30 Train loss: 0.6489133 Val loss: 0.5958034
epoch: 40 Train loss: 0.6663947 Val loss: 0.5789232
epoch: 50 Train loss: 0.6749999 Val loss: 0.5949006
epoch: 60 Train loss: 0.6133571 Val loss: 0.6109828
early stop at epoch: 62 Train loss: 0.7054131 Val loss: 0.6310146
epoch: 10 Train loss: 0.4299256 Val loss: 0.566372
epoch: 20 Train loss: 0.4163472 Val loss: 0.5448638
epoch: 30 Train loss: 0.4592139 Val loss: 0.2928243
epoch: 40 Train loss: 0.3731425 Val loss: 0.5574184
early stop at epoch: 40 Train loss: 0.3731425 Val loss: 0.5574184
epoch: 10 Train loss: 0.6346897 Val loss: 0.4070109
epoch: 20 Train loss: 0.6061462 Val loss: 0.5735349
epoch: 30 Train loss: 0.5904976 Val loss: 0.4818239
early stop at epoch: 31 Train loss: 0.5914701 Val loss: 0.7047771
time: 25.3 sec elapsed
random search: 54.52 sec elapsed
[ FAIL 1 | WARN 66 | SKIP 0 | PASS 46 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test.R:89:13'): Correct outcome format and size for base outcome3 ───
<purrr_error_indexed/rlang_error/error/condition>
Error in `purrr::pmap(hyper_params, ~spinner(graph, target, node_labels,
edge_labels, context_labels, direction = ..1, sampling = NA,
threshold = 0.01, method = ..2, node_embedding_size = ..13,
edge_embedding_size = ..14, context_embedding_size = ..15,
update_order = ..3, n_layers = ..4, skip_shortcut = ..5,
forward_layer = ..6, forward_activation = ..7, forward_drop = ..8,
mode = ..9, optimization = ..10, epochs, lr = ..11, patience,
weight_decay = ..12, reps, folds, holdout, verbose, seed))`: i In index: 1.
Caused by error in `pmap()`:
i In index: 1.
Caused by error in `training_function()`:
! not enough data for training
[ FAIL 1 | WARN 66 | SKIP 0 | PASS 46 ]
Error: Test failures
Execution halted
Flavor: r-devel-windows-x86_64