CRAN Package Check Results for Package spinner

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

Check Details

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