Back to Multiple platform build/check report for BioC 3.21: simplified long |
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This page was generated on 2025-01-25 15:38 -0500 (Sat, 25 Jan 2025).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
nebbiolo1 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | R Under development (unstable) (2025-01-20 r87609) -- "Unsuffered Consequences" | 4658 |
palomino7 | Windows Server 2022 Datacenter | x64 | R Under development (unstable) (2025-01-21 r87610 ucrt) -- "Unsuffered Consequences" | 4455 |
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) | aarch64 | R Under development (unstable) (2024-11-24 r87369) -- "Unsuffered Consequences" | 4408 |
Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X |
Package 1018/2286 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
immunoClust 1.39.3 (landing page) Till Soerensen
| nebbiolo1 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | OK | |||||||||
palomino7 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | |||||||||
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) / aarch64 | OK | ERROR | skipped | ||||||||||
To the developers/maintainers of the immunoClust package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/immunoClust.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. - See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host. |
Package: immunoClust |
Version: 1.39.3 |
Command: /home/biocbuild/R/R/bin/R CMD build --keep-empty-dirs --no-resave-data immunoClust |
StartedAt: 2025-01-24 23:45:49 -0000 (Fri, 24 Jan 2025) |
EndedAt: 2025-01-24 23:50:40 -0000 (Fri, 24 Jan 2025) |
EllapsedTime: 291.2 seconds |
RetCode: 1 |
Status: ERROR |
PackageFile: None |
PackageFileSize: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R/bin/R CMD build --keep-empty-dirs --no-resave-data immunoClust ### ############################################################################## ############################################################################## * checking for file ‘immunoClust/DESCRIPTION’ ... OK * preparing ‘immunoClust’: * checking DESCRIPTION meta-information ... OK * cleaning src * running ‘cleanup’ * installing the package to build vignettes * creating vignettes ... ERROR --- re-building ‘immunoClust.Rnw’ using Sweave Loading required package: flowCore filtered from above:318 filtered from below:0 cluster 1(N=151) has 2 sub-cluster at 2 (12), ICL=152<>26 split 1 into 2 clusters cluster 1(N=151) has 2 sub-cluster at 2 (12), ICL=0<>26 Model Refinement takes 0.033 mins(max 1: 0.033) Fit Model 1 of (6/10) K=1->2 N=302 EM 2 takes 0 mins, 7 iterations cluster 2(N=86) has 2 sub-cluster at 2 (8), ICL=121<>30 split 2 into 2 clusters cluster 1(N=217) has 7 sub-cluster at 7 (33), ICL=32<>30 split 1 into 7 clusters Model Refinement takes 0.05 mins(max 2: 0.033) Fit Model 2 of (6/10) K=2->9 N=605 EM 8 takes 0 mins, 32 iterations cluster 8(N=126) has 2 sub-cluster at 2 (6), ICL=94<>34 split 8 into 2 clusters cluster 6(N=159) has 6 sub-cluster at 7 (29), ICL=23<>34 cluster 1(N=161) has 3 sub-cluster at 3 (41), ICL=16<>34 cluster 7(N=64) has 2 sub-cluster at 3 (14), ICL=12<>34 cluster 5(N=13) has 2 sub-cluster at 2 (100), ICL=8.2<>34 cluster 2(N=60) has 2 sub-cluster at 2 (49), ICL=6.8<>34 cluster 4(N=96) has 4 sub-cluster at 4 (34), ICL=4.8<>34 cluster 3(N=42) has 2 sub-cluster at 3 (14), ICL=3.9<>34 cluster 1(N=161) has 3 sub-cluster at 3 (41), ICL=0<>34 Model Refinement takes 0.15 mins(max 1: 0.033) Fit Model 3 of (6/10) K=8->9 N=1210 EM 9 takes 0.017 mins, 50 iterations cluster 9(N=98) has 2 sub-cluster at 2 (7), ICL=52<>37 split 9 into 2 clusters cluster 7(N=127) has 2 sub-cluster at 2 (11), ICL=27<>37 cluster 5(N=25) has 2 sub-cluster at 2 (4), ICL=23<>37 cluster 8(N=131) has 8 sub-cluster at 8 (41), ICL=19<>37 cluster 3(N=270) has 4 sub-cluster at 4 (51), ICL=16<>37 cluster 2(N=76) has 4 sub-cluster at 5 (26), ICL=7.7<>37 cluster 4(N=122) has 5 sub-cluster at 5 (21), ICL=4.7<>37 cluster 6(N=283) has 5 sub-cluster at 6 (36), ICL=4<>37 cluster 2(N=76) has 4 sub-cluster at 5 (26), ICL=0<>37 Model Refinement takes 0.17 mins(max 1: 0.033) Fit Model 4 of (6/10) K=9->10 N=2420 EM 10 takes 0.017 mins, 49 iterations cluster 5(N=56) has 2 sub-cluster at 2 (6), ICL=29<>41 cluster 10(N=97) has 6 sub-cluster at 6 (19), ICL=24<>41 cluster 9(N=138) has 7 sub-cluster at 7 (36), ICL=19<>41 cluster 6(N=384) has 4 sub-cluster at 4 (39), ICL=9.5<>41 cluster 7(N=248) has 7 sub-cluster at 8 (24), ICL=9.1<>41 cluster 8(N=267) has 2 sub-cluster at 2 (7), ICL=8.8<>41 cluster 2(N=17) has 3 sub-cluster at 3 (11), ICL=4.4<>41 cluster 4(N=333) has 7 sub-cluster at 8 (51), ICL=1.9<>41 cluster 2(N=17) has 3 sub-cluster at 3 (11), ICL=0<>41 Model Refinement takes 0.23 mins(max 1: 0.033) Fit Model 5 of (6/10) K=10->10 N=4841 EM 10 takes 0 mins, 13 iterations cluster 5(N=110) has 2 sub-cluster at 2 (6), ICL=70<>45 split 5 into 2 clusters cluster 8(N=580) has 2 sub-cluster at 2 (7), ICL=39<>45 cluster 10(N=200) has 3 sub-cluster at 3 (14), ICL=29<>45 cluster 9(N=276) has 3 sub-cluster at 3 (7), ICL=23<>45 cluster 6(N=861) has 2 sub-cluster at 2 (12), ICL=18<>45 cluster 7(N=449) has 2 sub-cluster at 2 (6), ICL=9.5<>45 cluster 2(N=21) has 2 sub-cluster at 2 (100), ICL=3.1<>45 cluster 2(N=21) has 2 sub-cluster at 2 (100), ICL=0<>45 Model Refinement takes 0.37 mins(max 1: 0.083) Fit Model 6 of (6/10) K=10->11 N=9682 EM 11 takes 0.017 mins, 9 iterations cluster 10(N=562) has 3 sub-cluster at 3 (7), ICL=55<>48 split 10 into 3 clusters cluster 9(N=1122) has 2 sub-cluster at 2 (8), ICL=52<>48 split 9 into 2 clusters cluster 8(N=916) has 3 sub-cluster at 3 (10), ICL=52<>48 split 8 into 3 clusters cluster 7(N=1560) has 2 sub-cluster at 2 (13), ICL=49<>48 split 7 into 2 clusters cluster 5(N=154) has 4 sub-cluster at 4 (16), ICL=41<>48 cluster 2(N=50) has 2 sub-cluster at 2 (100), ICL=38<>48 cluster 11(N=392) has 3 sub-cluster at 3 (34), ICL=38<>48 cluster 6(N=75) has 2 sub-cluster at 3 (10), ICL=1.2<>48 cluster 2(N=50) has 2 sub-cluster at 2 (100), ICL=0<>48 Model Refinement takes 0.5 mins(max 1: 0.083) Fit Model 7 of (6/10) K=11->17 N=9682 EM 17 takes 0.017 mins, 9 iterations cluster 11(N=51) has 2 sub-cluster at 2 (100), ICL=45<>48 cluster 6(N=74) has 6 sub-cluster at 8 (82), ICL=44<>48 cluster 17(N=391) has 2 sub-cluster at 2 (8), ICL=37<>48 cluster 5(N=123) has 2 sub-cluster at 2 (8), ICL=30<>48 cluster 13(N=412) has 2 sub-cluster at 2 (5), ICL=18<>48 cluster 15(N=295) has 6 sub-cluster at 7 (55), ICL=16<>48 cluster 14(N=240) has 2 sub-cluster at 2 (6), ICL=15<>48 cluster 16(N=100) has 3 sub-cluster at 3 (19), ICL=15<>48 cluster 5(N=123) has 2 sub-cluster at 2 (8), ICL=0<>48 Model Refinement takes 0.65 mins(max 1: 0.1) Fit Model 8 of (6/10) K=17->17 N=9682 EM 17 takes 0.017 mins, 3 iterations Process completed at8 Major Iteration (Trans) (6/4) takes 2.3 mins filtered from above:318 filtered from below:0 cluster 1(N=151) has 2 sub-cluster at 2 (10), ICL=166<>22 split 1 into 2 clusters cluster 1(N=151) has 2 sub-cluster at 2 (10), ICL=0<>22 Model Refinement takes 0.017 mins(max 1: 0.017) Fit Model 1 of (6/10) K=1->2 N=302 EM 2 takes 0 mins, 7 iterations cluster 1(N=77) has 2 sub-cluster at 2 (6), ICL=97<>25 split 1 into 2 clusters cluster 2(N=225) has 2 sub-cluster at 2 (5), ICL=47<>25 split 2 into 2 clusters cluster 1(N=77) has 2 sub-cluster at 2 (6), ICL=0<>25 Model Refinement takes 0.05 mins(max 2: 0.033) Fit Model 2 of (6/10) K=2->4 N=605 EM 4 takes 0 mins, 8 iterations cluster 1(N=98) has 2 sub-cluster at 2 (12), ICL=124<>28 split 1 into 2 clusters cluster 3(N=411) has 2 sub-cluster at 2 (8), ICL=42<>28 split 3 into 2 clusters cluster 2(N=72) has 5 sub-cluster at 5 (75), ICL=21<>28 cluster 4(N=24) has 2 sub-cluster at 2 (12), ICL=8.3<>28 cluster 1(N=98) has 2 sub-cluster at 2 (12), ICL=0<>28 Model Refinement takes 0.067 mins(max 1: 0.017) Fit Model 3 of (6/10) K=4->6 N=1210 EM 6 takes 0 mins, 15 iterations cluster 2(N=64) has 2 sub-cluster at 2 (6), ICL=72<>31 split 2 into 2 clusters cluster 1(N=132) has 2 sub-cluster at 2 (6), ICL=40<>31 split 1 into 2 clusters cluster 6(N=77) has 5 sub-cluster at 5 (32), ICL=18<>31 cluster 5(N=44) has 2 sub-cluster at 2 (10), ICL=17<>31 cluster 3(N=144) has 3 sub-cluster at 4 (8), ICL=12<>31 cluster 1(N=132) has 2 sub-cluster at 2 (6), ICL=0<>31 Model Refinement takes 0.12 mins(max 1: 0.033) Fit Model 4 of (6/10) K=6->8 N=2420 EM 8 takes 0 mins, 9 iterations cluster 2(N=17) has 2 sub-cluster at 2 (100), ICL=62<>34 split 2 into 2 clusters cluster 7(N=103) has 2 sub-cluster at 2 (6), ICL=39<>34 split 7 into 2 clusters cluster 3(N=105) has 4 sub-cluster at 4 (26), ICL=27<>34 cluster 8(N=135) has 4 sub-cluster at 4 (12), ICL=24<>34 cluster 5(N=275) has 7 sub-cluster at 7 (47), ICL=23<>34 cluster 4(N=25) has 2 sub-cluster at 2 (10), ICL=20<>34 cluster 1(N=242) has 7 sub-cluster at 8 (17), ICL=9.7<>34 cluster 1(N=242) has 7 sub-cluster at 8 (17), ICL=0<>34 Model Refinement takes 0.2 mins(max 6: 0.083) Fit Model 5 of (6/10) K=8->10 N=4841 EM 9 takes 0 mins, 8 iterations cluster 4(N=80) has 6 sub-cluster at 6 (88), ICL=48<>37 split 4 into 6 clusters cluster 9(N=277) has 2 sub-cluster at 2 (14), ICL=38<>37 split 9 into 2 clusters cluster 5(N=565) has 2 sub-cluster at 2 (9), ICL=26<>37 cluster 1(N=483) has 3 sub-cluster at 3 (26), ICL=24<>37 cluster 3(N=195) has 7 sub-cluster at 7 (36), ICL=24<>37 cluster 7(N=174) has 3 sub-cluster at 3 (28), ICL=13<>37 cluster 8(N=37) has 2 sub-cluster at 3 (15), ICL=9.3<>37 cluster 1(N=483) has 3 sub-cluster at 3 (26), ICL=0<>37 Model Refinement takes 0.27 mins(max 6: 0.083) Fit Model 6 of (6/10) K=9->15 N=9682 EM 15 takes 0.067 mins, 33 iterations Warning in cell.TestSubCluster(x, as.matrix(y[cinc, ]), t, k, J = J, B = B, : singularity in cluster 8 cluster 1(N=916) has 3 sub-cluster at 3 (9), ICL=56<>40 split 1 into 3 clusters cluster 3(N=391) has 2 sub-cluster at 2 (7), ICL=53<>40 split 3 into 2 clusters cluster 14(N=423) has 2 sub-cluster at 2 (6), ICL=29<>40 cluster 6(N=93) has 2 sub-cluster at 2 (10), ICL=28<>40 cluster 12(N=313) has 2 sub-cluster at 2 (7), ICL=8.6<>40 cluster 4(N=377) has 2 sub-cluster at 2 (10), ICL=7.8<>40 cluster 15(N=182) has 3 sub-cluster at 3 (14), ICL=6.5<>40 cluster 13(N=75) has 4 sub-cluster at 5 (99), ICL=4.1<>40 cluster 9(N=14) has 2 sub-cluster at 2 (58), ICL=0.16<>40 cluster 1(N=916) has 3 sub-cluster at 3 (9), ICL=0<>40 Model Refinement takes 0.35 mins(max 11: 0.1) Fit Model 7 of (6/10) K=15->18 N=9682 EM 18 takes 0.017 mins, 4 iterations Warning in cell.TestSubCluster(x, as.matrix(y[cinc, ]), t, k, J = J, B = B, : singularity in cluster 11 cluster 17(N=419) has 2 sub-cluster at 2 (6), ICL=29<>40 cluster 9(N=92) has 5 sub-cluster at 5 (38), ICL=29<>40 cluster 3(N=57) has 2 sub-cluster at 2 (11), ICL=24<>40 cluster 6(N=88) has 3 sub-cluster at 3 (43), ICL=19<>40 cluster 18(N=178) has 6 sub-cluster at 8 (41), ICL=19<>40 cluster 5(N=337) has 7 sub-cluster at 7 (44), ICL=12<>40 cluster 7(N=398) has 7 sub-cluster at 8 (69), ICL=9.7<>40 cluster 15(N=313) has 2 sub-cluster at 2 (7), ICL=8.6<>40 cluster 16(N=75) has 2 sub-cluster at 3 (10), ICL=2.7<>40 cluster 1(N=385) has 7 sub-cluster at 7 (34), ICL=1.5<>40 cluster 12(N=14) has 2 sub-cluster at 2 (52), ICL=0.14<>40 cluster 1(N=385) has 7 sub-cluster at 7 (34), ICL=0<>40 Model Refinement takes 0.42 mins(max 14: 0.1) Fit Model 8 of (6/10) K=18->18 N=9682 EM 18 takes 0 mins, 6 iterations Process completed at8 Major Iteration (Trans) (6/4) takes 1.6 mins Fit Model 1 of 10 with 8 clusters => results in 8 clusters Fit Model 2 of 10 with 21 clusters => results in 13 clusters Fit Model 3 of 10 with 23 clusters => results in 19 clusters Fit Model 4 of 10 with 26 clusters => results in 21 clusters Fit Model 5 of 10 with 25 clusters => results in 21 clusters Error: processing vignette 'immunoClust.Rnw' failed with diagnostics: Running 'texi2dvi' on 'immunoClust.tex' failed. LaTeX errors: ! LaTeX Error: File `inputenx.sty' not found. Type X to quit or <RETURN> to proceed, or enter new name. (Default extension: sty) ! Emergency stop. <read *> l.15 ^^M ! ==> Fatal error occurred, no output PDF file produced! --- failed re-building ‘immunoClust.Rnw’ SUMMARY: processing the following file failed: ‘immunoClust.Rnw’ Error: Vignette re-building failed. Execution halted