Last updated on 2025-06-06 01:51:45 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.1.0 | 13.03 | 1107.48 | 1120.51 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.1.0 | 11.06 | 1359.76 | 1370.82 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.1.0 | 1477.42 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.1.0 | 1475.10 | OK | |||
| r-devel-windows-x86_64 | 1.1.0 | 17.00 | 366.00 | 383.00 | OK | |
| r-patched-linux-x86_64 | 1.1.0 | 15.52 | 1077.68 | 1093.20 | ERROR | |
| r-release-linux-x86_64 | 1.1.0 | 13.19 | 1339.03 | 1352.22 | OK | |
| r-release-macos-arm64 | 1.1.0 | 280.00 | OK | |||
| r-release-macos-x86_64 | 1.1.0 | 70.00 | OK | |||
| r-release-windows-x86_64 | 1.1.0 | 17.00 | 390.00 | 407.00 | OK | |
| r-oldrel-macos-arm64 | 1.1.0 | 44.00 | OK | |||
| r-oldrel-macos-x86_64 | 1.1.0 | 73.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.1.0 | 22.00 | 492.00 | 514.00 | OK |
Version: 1.1.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [16m/17m]
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")
epoch: 10 Train loss: 0.5206071 Val loss: 0.7629738
epoch: 20 Train loss: 0.692533 Val loss: 0.6967654
epoch: 30 Train loss: 0.5018971 Val loss: 0.6652126
early stop at epoch: 31 Train loss: 0.5264022 Val loss: 0.7419146
epoch: 10 Train loss: 0.6658432 Val loss: 0.6710406
epoch: 20 Train loss: 0.6566378 Val loss: 0.6531721
epoch: 10 Train loss: 0.6967562 Val loss: 0.7932751
epoch: 20 Train loss: 0.6904271 Val loss: 0.7908868
epoch: 30 Train loss: 0.5593812 Val loss: 0.7645096
early stop at epoch: 35 Train loss: 0.6424293 Val loss: 0.8097705
epoch: 10 Train loss: 0.7666908 Val loss: 0.768415
epoch: 20 Train loss: 0.777707 Val loss: 0.7530576
epoch: 30 Train loss: 0.7620533 Val loss: 0.7683229
early stop at epoch: 36 Train loss: 0.7171982 Val loss: 0.7655155
epoch: 10 Train loss: 0.72602 Val loss: 0.6336625
epoch: 20 Train loss: 0.7550309 Val loss: 0.619078
epoch: 30 Train loss: 0.6972495 Val loss: 0.8546136
early stop at epoch: 30 Train loss: 0.6972495 Val loss: 0.8546136
epoch: 10 Train loss: 0.6882808 Val loss: 0.5277001
epoch: 20 Train loss: 0.7042437 Val loss: 0.5034757
epoch: 30 Train loss: 0.686868 Val loss: 0.4890618
epoch: 40 Train loss: 0.6814035 Val loss: 0.5537034
epoch: 50 Train loss: 0.679831 Val loss: 0.5314658
epoch: 60 Train loss: 0.686273 Val loss: 0.5206559
epoch: 70 Train loss: 0.672634 Val loss: 0.5409217
early stop at epoch: 72 Train loss: 0.690446 Val loss: 0.5231133
time: 182.839 sec elapsed
epoch: 10 Train loss: 0.3026671 Val loss: 0.2128231
epoch: 20 Train loss: 0.3361006 Val loss: 0.2349247
epoch: 30 Train loss: 0.4082164 Val loss: 0.2217312
epoch: 40 Train loss: 0.3327962 Val loss: 0.2942288
early stop at epoch: 46 Train loss: 0.2859361 Val loss: 0.359625
epoch: 10 Train loss: 0.344774 Val loss: 0.2797248
epoch: 20 Train loss: 0.3387569 Val loss: 0.3678934
epoch: 30 Train loss: 0.3268932 Val loss: 0.2547124
early stop at epoch: 39 Train loss: 0.2902773 Val loss: 0.4280362
epoch: 10 Train loss: 0.2550901 Val loss: 0.2067848
epoch: 20 Train loss: 0.2326315 Val loss: 0.5664619
epoch: 30 Train loss: 0.2270289 Val loss: 0.4026011
early stop at epoch: 30 Train loss: 0.2270289 Val loss: 0.4026011
epoch: 10 Train loss: 0.3091125 Val loss: 0.2960624
epoch: 20 Train loss: 0.2793294 Val loss: 0.3277531
epoch: 30 Train loss: 0.3043242 Val loss: 0.2574992
early stop at epoch: 36 Train loss: 0.2742454 Val loss: 0.4460754
time: 145.345 sec elapsed
epoch: 10 Train loss: 0.6465556 Val loss: 0.4955338
epoch: 20 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 30 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 40 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 50 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 60 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 70 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 80 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 90 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 100 Train loss: 0.6465556 Val loss: 0.5114039
epoch: 10 Train loss: 0.7021202 Val loss: 0.6696711
epoch: 20 Train loss: 0.7021202 Val loss: 0.6696711
epoch: 30 Train loss: 0.7032326 Val loss: 0.6696711
epoch: 40 Train loss: 0.7021202 Val loss: 0.6718664
epoch: 50 Train loss: 0.7021202 Val loss: 0.6696711
epoch: 60 Train loss: 0.6982032 Val loss: 0.6696711
epoch: 70 Train loss: 0.7021202 Val loss: 0.7096452
epoch: 80 Train loss: 0.7021202 Val loss: 0.6696711
epoch: 90 Train loss: 0.7021202 Val loss: 0.6696711
epoch: 100 Train loss: 0.7021202 Val loss: 0.6696711
epoch: 10 Train loss: 0.7007673 Val loss: 0.631752
epoch: 20 Train loss: 0.7007673 Val loss: 0.631752
epoch: 30 Train loss: 0.7271265 Val loss: 0.631752
epoch: 40 Train loss: 0.699743 Val loss: 0.6324406
epoch: 50 Train loss: 0.7217113 Val loss: 0.631752
epoch: 60 Train loss: 0.7007673 Val loss: 0.6777689
epoch: 70 Train loss: 0.7245714 Val loss: 0.631752
epoch: 80 Train loss: 0.7007673 Val loss: 0.6862568
early stop at epoch: 86 Train loss: 0.7215076 Val loss: 0.640824
time: 130.349 sec elapsed
epoch: 10 Train loss: 0.8087506 Val loss: 0.5473623
epoch: 20 Train loss: 0.8186604 Val loss: 0.513293
epoch: 30 Train loss: 0.8186604 Val loss: 0.5209054
epoch: 40 Train loss: 0.8186604 Val loss: 0.517107
epoch: 50 Train loss: 0.8186604 Val loss: 0.5176126
epoch: 60 Train loss: 0.8186604 Val loss: 0.5407484
epoch: 70 Train loss: 0.8186604 Val loss: 0.5176126
epoch: 80 Train loss: 0.8186604 Val loss: 0.4984773
epoch: 90 Train loss: 0.8186604 Val loss: 0.5200096
epoch: 100 Train loss: 0.8087506 Val loss: 0.5448586
epoch: 10 Train loss: 0.6650466 Val loss: 0.7216609
epoch: 20 Train loss: 0.6650466 Val loss: 0.690927
epoch: 30 Train loss: 0.6650466 Val loss: 0.6940672
early stop at epoch: 35 Train loss: 0.6650466 Val loss: 0.7257167
epoch: 10 Train loss: 0.4568773 Val loss: 0.4651889
epoch: 20 Train loss: 0.4427699 Val loss: 0.4923788
epoch: 30 Train loss: 0.4427699 Val loss: 0.4619347
early stop at epoch: 32 Train loss: 0.4427699 Val loss: 0.5436771
time: 74.418 sec elapsed
epoch: 10 Train loss: 0.5837668 Val loss: 0.6920825
epoch: 20 Train loss: 0.541101 Val loss: 0.6583152
epoch: 30 Train loss: 0.5264405 Val loss: 0.6630518
early stop at epoch: 32 Train loss: 0.4919579 Val loss: 0.7210969
epoch: 10 Train loss: 0.4362365 Val loss: 0.5073944
epoch: 20 Train loss: 0.4864609 Val loss: 0.2430749
epoch: 30 Train loss: 0.4113717 Val loss: 0.5282634
early stop at epoch: 35 Train loss: 0.153684 Val loss: 0.5677856
epoch: 10 Train loss: 0.5130763 Val loss: 0.5892535
epoch: 20 Train loss: 0.5532482 Val loss: 0.5999739
epoch: 30 Train loss: 0.5262614 Val loss: 0.5713801
early stop at epoch: 31 Train loss: 0.5043253 Val loss: 0.6363896
time: 121.526 sec elapsed
random search: 326.306 sec elapsed
epoch: 10 Train loss: 0.07086422 Val loss: 0.1375223
epoch: 20 Train loss: 0.07086422 Val loss: 0.07086423
epoch: 30 Train loss: 0.07086422 Val loss: 0.1448998
early stop at epoch: 35 Train loss: 0.07086422 Val loss: 0.1651878
epoch: 10 Train loss: 0.2014559 Val loss: 0.1184543
epoch: 20 Train loss: 0.1184542 Val loss: 0.1184543
epoch: 30 Train loss: 0.1184542 Val loss: 0.1510096
early stop at epoch: 36 Train loss: 0.1184542 Val loss: 0.1532382
epoch: 10 Train loss: 0.08458351 Val loss: 0.2593073
epoch: 20 Train loss: 0.2409408 Val loss: 0.05270579
epoch: 30 Train loss: 0.2321048 Val loss: 0.1185036
early stop at epoch: 30 Train loss: 0.2321048 Val loss: 0.1185036
time: 44.318 sec elapsed
epoch: 10 Train loss: 0.1711449 Val loss: 0.6901896
epoch: 20 Train loss: 0.1711449 Val loss: 0.7201604
epoch: 30 Train loss: 0.2374731 Val loss: 0.7296348
early stop at epoch: 32 Train loss: 0.1711449 Val loss: 0.751559
epoch: 10 Train loss: 0.8913957 Val loss: 0.6050254
epoch: 20 Train loss: 0.8913957 Val loss: 0.6443452
epoch: 30 Train loss: 0.8913957 Val loss: 0.6313393
epoch: 40 Train loss: 0.8981407 Val loss: 0.6274613
epoch: 50 Train loss: 0.8913957 Val loss: 0.6050254
epoch: 60 Train loss: 0.8936972 Val loss: 0.627995
epoch: 70 Train loss: 0.8913957 Val loss: 0.6046396
epoch: 80 Train loss: 0.8913957 Val loss: 0.7103514
epoch: 90 Train loss: 0.8856102 Val loss: 0.6050254
epoch: 100 Train loss: 0.8913957 Val loss: 0.6402048
epoch: 10 Train loss: 0.7578951 Val loss: 0.6487317
epoch: 20 Train loss: 0.755585 Val loss: 0.6480615
epoch: 30 Train loss: 0.7737332 Val loss: 0.7086629
epoch: 40 Train loss: 0.7802494 Val loss: 0.6892929
early stop at epoch: 40 Train loss: 0.7802494 Val loss: 0.6892929
time: 76.699 sec elapsed
epoch: 10 Train loss: 0.3102549 Val loss: 0.846304
epoch: 20 Train loss: 0.3442138 Val loss: 0.8198994
epoch: 30 Train loss: 0.3413275 Val loss: 0.8889039
early stop at epoch: 30 Train loss: 0.3413275 Val loss: 0.8889039
epoch: 10 Train loss: 0.935106 Val loss: 0.690149
epoch: 20 Train loss: 0.9157618 Val loss: 0.6939839
epoch: 30 Train loss: 0.9420475 Val loss: 0.6686194
epoch: 40 Train loss: 0.9236212 Val loss: 0.6911446
epoch: 50 Train loss: 0.9438332 Val loss: 0.7738773
epoch: 60 Train loss: 0.9300352 Val loss: 0.7295524
epoch: 70 Train loss: 0.9311644 Val loss: 0.709401
epoch: 80 Train loss: 0.9523125 Val loss: 0.7518958
epoch: 90 Train loss: 0.9271222 Val loss: 0.7417283
epoch: 100 Train loss: 0.9529463 Val loss: 0.783016
epoch: 10 Train loss: 0.7512749 Val loss: 0.8617536
epoch: 20 Train loss: 0.7868204 Val loss: 0.8830751
epoch: 30 Train loss: 0.7896664 Val loss: 0.8411684
early stop at epoch: 31 Train loss: 0.8149496 Val loss: 0.9225895
time: 195.053 sec elapsed
random search: 316.085 sec elapsed
[ FAIL 1 | WARN 62 | SKIP 0 | PASS 44 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test.R:14:13'): Correct outcome format and size for base outcome1 ───
<purrr_error_indexed/rlang_error/error/condition>
Error in `pmap(list(cv_models, train_idx, val_idx), ~training_function(model = ..1,
direction, node_features, edge_features, edge_list, ..2,
..3, context_features, target, target_schema, optimization,
weight_decay, lr, epochs, patience, verbose, dev, update_order,
skip_shortcut))`: i In index: 2.
Caused by error in `Tensor_slice()`:
! Unsupported index.
Backtrace:
▆
1. ├─spinner::spinner(...) at test.R:14:13
2. │ └─purrr::pmap(...)
3. │ └─purrr:::pmap_("list", .l, .f, ..., .progress = .progress)
4. │ ├─purrr:::with_indexed_errors(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ ├─purrr:::call_with_cleanup(...)
7. │ └─spinner (local) .f(.l[[1L]][[i]], .l[[2L]][[i]], .l[[3L]][[i]], ...)
8. │ └─spinner:::training_function(...)
9. │ ├─torch::torch_cat(...)
10. │ │ └─base::mget(x = c("tensors", "dim"))
11. │ └─spinner (local) model(...)
12. │ └─self[[lyr]](...)
13. │ └─self$edge_to_node(...)
14. │ └─base::mapply(...)
15. │ └─spinner (local) `<fn>`(i = dots[[1L]][[10L]])
16. │ ├─transformed_edge_features[from_node == i, ]
17. │ └─torch:::`[.torch_tensor`(...)
18. │ └─torch:::tensor_slice(x, ..., drop = drop)
19. │ └─torch:::Tensor_slice(tensor, environment(), drop = drop, mask = .d)
20. ├─base::stop(`<Rcpp::xc>`)
21. └─purrr (local) `<fn>`(`<Rcpp::xc>`)
22. └─cli::cli_abort(...)
23. └─rlang::abort(...)
[ FAIL 1 | WARN 62 | SKIP 0 | PASS 44 ]
Error: Test failures
Execution halted
Flavor: r-patched-linux-x86_64