CRAN Package Check Results for Package spinner

Last updated on 2025-09-16 05:49:48 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.1.0	15.88	996.46	1012.34	OK
r-devel-linux-x86_64-debian-gcc	1.1.0	11.03	1025.75	1036.78	ERROR
r-devel-linux-x86_64-fedora-clang	1.1.0			1373.39	OK
r-devel-linux-x86_64-fedora-gcc	1.1.0			1148.47	OK
r-devel-windows-x86_64	1.1.0	18.00	110.00	128.00	ERROR
r-patched-linux-x86_64	1.1.0	14.12	1224.18	1238.30	OK
r-release-linux-x86_64	1.1.0	15.01	1177.02	1192.03	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	18.00	118.00	136.00	ERROR
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	24.00	158.00	182.00	ERROR

Check Details

Version: 1.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [938s/591s] 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: 0.5788068 Val loss: 0.7615665 epoch: 20 Train loss: 0.6267315 Val loss: 0.7854717 epoch: 30 Train loss: 0.5835145 Val loss: 0.7468793 early stop at epoch: 34 Train loss: 0.5731231 Val loss: 0.8231868 epoch: 10 Train loss: 0.7302467 Val loss: 0.5057912 epoch: 20 Train loss: 0.8149955 Val loss: 0.4485699 epoch: 30 Train loss: 0.778167 Val loss: 0.4580292 epoch: 40 Train loss: 0.7194757 Val loss: 0.4532183 epoch: 50 Train loss: 0.7286757 Val loss: 0.435063 epoch: 60 Train loss: 0.795844 Val loss: 0.473906 early stop at epoch: 61 Train loss: 0.8195978 Val loss: 0.4746233 epoch: 10 Train loss: 0.6930163 Val loss: 0.6611052 epoch: 20 Train loss: 0.6442805 Val loss: 0.5165489 epoch: 30 Train loss: 0.7245831 Val loss: 0.4601876 epoch: 40 Train loss: 0.7408463 Val loss: 0.4788599 early stop at epoch: 42 Train loss: 0.5984856 Val loss: 0.7926724 epoch: 10 Train loss: 0.6859234 Val loss: 0.8328362 epoch: 20 Train loss: 0.5250563 Val loss: 0.6944969 epoch: 30 Train loss: 0.6916525 Val loss: 0.757234 early stop at epoch: 34 Train loss: 0.6131497 Val loss: 0.8418196 time: 123.111 sec elapsed epoch: 10 Train loss: 0.8061588 Val loss: 0.7053779 epoch: 20 Train loss: 0.6718895 Val loss: 0.690855 epoch: 30 Train loss: 0.8859985 Val loss: 0.7873367 early stop at epoch: 30 Train loss: 0.8859985 Val loss: 0.7873367 epoch: 10 Train loss: 0.7219209 Val loss: 0.7078794 epoch: 20 Train loss: 0.7418959 Val loss: 0.7131626 epoch: 30 Train loss: 0.701626 Val loss: 0.7664087 early stop at epoch: 30 Train loss: 0.701626 Val loss: 0.7664087 epoch: 10 Train loss: 0.5904789 Val loss: 0.8210188 epoch: 20 Train loss: 0.6268718 Val loss: 0.7892195 epoch: 30 Train loss: 0.5953217 Val loss: 0.835769 early stop at epoch: 30 Train loss: 0.5953217 Val loss: 0.835769 epoch: 10 Train loss: 0.6746593 Val loss: 0.5582851 epoch: 20 Train loss: 0.6238996 Val loss: 0.5770239 epoch: 30 Train loss: 0.662691 Val loss: 0.6016925 epoch: 40 Train loss: 0.653276 Val loss: 0.5812768 early stop at epoch: 48 Train loss: 0.6674852 Val loss: 0.5919284 time: 108.229 sec elapsed epoch: 10 Train loss: 0.2763225 Val loss: 0.4649228 epoch: 20 Train loss: 0.3271827 Val loss: 0.3470422 epoch: 30 Train loss: 0.3131918 Val loss: 0.2327961 early stop at epoch: 31 Train loss: 0.3316959 Val loss: 0.4206645 epoch: 10 Train loss: 0.2998268 Val loss: 0.4556637 epoch: 20 Train loss: 0.3013942 Val loss: 0.4247108 epoch: 30 Train loss: 0.3275842 Val loss: 0.4407933 early stop at epoch: 30 Train loss: 0.3275842 Val loss: 0.4407933 epoch: 10 Train loss: 0.3116498 Val loss: 0.1173257 epoch: 20 Train loss: 0.2091731 Val loss: 0.518469 epoch: 30 Train loss: 0.2771624 Val loss: 0.2422333 early stop at epoch: 33 Train loss: 0.2465063 Val loss: 0.3643527 epoch: 10 Train loss: 0.2850414 Val loss: 0.1912855 epoch: 20 Train loss: 0.2880409 Val loss: 0.4640248 epoch: 30 Train loss: 0.2949161 Val loss: 0.3170047 early stop at epoch: 35 Train loss: 0.2287316 Val loss: 0.4208836 time: 107.251 sec elapsed epoch: 10 Train loss: 0.07086423 Val loss: 0.1512602 epoch: 20 Train loss: 0.07086423 Val loss: 0.07086422 epoch: 30 Train loss: 0.07086423 Val loss: 0.07086422 early stop at epoch: 33 Train loss: 0.07086423 Val loss: 0.2083862 epoch: 10 Train loss: 0.1184543 Val loss: 0.1184543 epoch: 20 Train loss: 0.2014567 Val loss: 0.1184543 epoch: 30 Train loss: 0.1184543 Val loss: 0.1184543 epoch: 40 Train loss: 0.1184543 Val loss: 0.1869216 epoch: 50 Train loss: 0.1184543 Val loss: 0.2522153 epoch: 60 Train loss: 0.1184543 Val loss: 0.1184543 epoch: 70 Train loss: 0.1184543 Val loss: 0.1228884 epoch: 80 Train loss: 0.1440095 Val loss: 0.1184543 epoch: 90 Train loss: 0.1184543 Val loss: 0.2408815 epoch: 100 Train loss: 0.1184543 Val loss: 0.1184543 epoch: 10 Train loss: 0.0317572 Val loss: 0.03167522 epoch: 20 Train loss: 0.0317572 Val loss: 0.1856589 epoch: 30 Train loss: 0.0317572 Val loss: 0.1227927 early stop at epoch: 30 Train loss: 0.0317572 Val loss: 0.1227927 time: 55.624 sec elapsed epoch: 10 Train loss: 0.8640934 Val loss: 0.7564418 epoch: 20 Train loss: 0.8640934 Val loss: 0.7408723 epoch: 30 Train loss: 0.8640934 Val loss: 0.7733344 epoch: 40 Train loss: 0.8535393 Val loss: 0.7690729 epoch: 50 Train loss: 0.8640934 Val loss: 0.771186 early stop at epoch: 55 Train loss: 0.8792196 Val loss: 0.7786958 epoch: 10 Train loss: 0.442159 Val loss: 0.9089877 epoch: 20 Train loss: 0.3478584 Val loss: 0.9104664 epoch: 30 Train loss: 0.3751385 Val loss: 0.915233 early stop at epoch: 32 Train loss: 0.3523662 Val loss: 0.9165674 epoch: 10 Train loss: 0.8750541 Val loss: 0.08552663 epoch: 20 Train loss: 0.8341721 Val loss: 0.08667952 epoch: 30 Train loss: 0.8456057 Val loss: 0.1035002 epoch: 40 Train loss: 0.8336698 Val loss: 0.0677993 epoch: 50 Train loss: 0.8203856 Val loss: 0.106751 epoch: 60 Train loss: 0.8375466 Val loss: 0.08220709 epoch: 70 Train loss: 0.8381673 Val loss: 0.231533 epoch: 80 Train loss: 0.8286211 Val loss: 0.116746 epoch: 90 Train loss: 0.8312194 Val loss: 0.3051896 epoch: 100 Train loss: 0.8203856 Val loss: 0.08623349 time: 68.059 sec elapsed epoch: 10 Train loss: 0.8444542 Val loss: 0.8862541 epoch: 20 Train loss: 0.8646039 Val loss: 0.8927444 epoch: 30 Train loss: 0.7724872 Val loss: 0.8545548 epoch: 40 Train loss: 0.9187369 Val loss: 0.8809724 early stop at epoch: 44 Train loss: 0.8255855 Val loss: 0.8824968 epoch: 10 Train loss: 0.7441384 Val loss: 0.9199622 epoch: 20 Train loss: 0.7584287 Val loss: 0.9378126 epoch: 30 Train loss: 0.7124266 Val loss: 0.9216418 early stop at epoch: 30 Train loss: 0.7124266 Val loss: 0.9216418 epoch: 10 Train loss: 0.8181283 Val loss: 0.5359964 epoch: 20 Train loss: 0.8175043 Val loss: 0.3761493 epoch: 30 Train loss: 0.8141212 Val loss: 0.3963043 epoch: 40 Train loss: 0.8182454 Val loss: 0.5568075 epoch: 50 Train loss: 0.8294666 Val loss: 0.4039587 epoch: 60 Train loss: 0.8017391 Val loss: 0.1532943 epoch: 70 Train loss: 0.8177714 Val loss: 0.3064767 epoch: 80 Train loss: 0.84637 Val loss: 0.4375013 epoch: 90 Train loss: 0.8124074 Val loss: 0.3039845 epoch: 100 Train loss: 0.8019361 Val loss: 0.3691657 time: 120.673 sec elapsed random search: 244.366 sec elapsed [ FAIL 1 | WARN 61 | SKIP 0 | PASS 46 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test.R:72:13'): 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 61 | SKIP 0 | PASS 46 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.1.0
Check: tests
Result: ERROR Running 'testthat.R' [5s] 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") Flavors: r-devel-windows-x86_64, r-release-windows-x86_64

Version: 1.1.0
Check: tests
Result: ERROR Running 'testthat.R' [7s] 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") Flavor: r-oldrel-windows-x86_64