On 22 January 2021 at 21:45, Graham Inggs wrote: | Source: rmatrix, r-cran-glmmtmb | Control: found -1 rmatrix/1.3-0-1 | Control: found -1 r-cran-glmmtmb/1.0.2.1-1 | Severity: serious | Tags: sid bullseye | X-Debbugs-CC: debian...@lists.debian.org | User: debian...@lists.debian.org | Usertags: breaks needs-update | | Hi Maintainers | | The upload of rmatrix/1.3-0-1 caused the autopkgtest of r-cran-glmmtmb | on s390x to fail.
Matrix 1.3.0 from December has long been known to fail. Please use release 1.3.2. Dirk | Unfortunately, gating of autopkgtest failures was not yet enabled on | s390x at the time, and this failure has now made it into testing [2]. | | I've copied what I hope is the relevant part of the log below. | | More information about this bug and the reason for filing it can be found on | https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation | | Regards | Graham | | | [1] https://ci.debian.net/packages/r/r-cran-glmmtmb/unstable/s390x/ | [2] https://ci.debian.net/packages/r/r-cran-glmmtmb/testing/s390x/ | | | == Failed ====================================================================== | -- 1. Error (test-VarCorr.R:11:1): (code run outside of `test_that()`) --------- | Error: gradient function must return a numeric vector of length 6 | Backtrace: | 1. glmmTMB::glmmTMB(distance ~ age + (age | Subject), data = | Orthodont) test-VarCorr.R:11:0 | 2. glmmTMB::fitTMB(TMBStruc) | 4. glmmTMB:::optfun() | 6. base::with.default(...) | 7. [ base::eval(...) ] with 1 more call | | -- 2. Error (test-basics.R:29:1): (code run outside of `test_that()`) ---------- | Error: gradient function must return a numeric vector of length 3 | Backtrace: | 1. glmmTMB::glmmTMB(Reaction ~ 1 + (1 | Subject), sleepstudy) | test-basics.R:29:0 | 2. glmmTMB::fitTMB(TMBStruc) | 4. glmmTMB:::optfun() | 6. base::with.default(...) | 7. [ base::eval(...) ] with 1 more call | | -- 3. Error (test-bootMer.R:11:5): Bernoulli responses ------------------------- | Error: gradient function must return a numeric vector of length 3 | Backtrace: | 1. glmmTMB::glmmTMB(...) test-bootMer.R:11:4 | 2. glmmTMB::fitTMB(TMBStruc) | 4. glmmTMB:::optfun() | 6. base::with.default(...) | 7. [ base::eval(...) ] with 1 more call | | -- 4. Error (test-bootMer.R:19:5): Bernoulli responses ------------------------- | Error: gradient function must return a numeric vector of length 3 | Backtrace: | 1. glmmTMB::glmmTMB(...) test-bootMer.R:19:4 | 2. glmmTMB::fitTMB(TMBStruc) | 4. glmmTMB:::optfun() | 6. base::with.default(...) | 7. [ base::eval(...) ] with 1 more call | | -- 5. Error (test-control.R:26:5): profile method ------------------------------ | Error: gradient function must return a numeric vector of length 15 | Backtrace: | 1. glmmTMB:::myfit(profile = FALSE) test-control.R:26:4 | 2. glmmTMB::glmmTMB(...) test-control.R:20:8 | 3. glmmTMB::fitTMB(TMBStruc) | 5. glmmTMB:::optfun() | 7. base::with.default(...) | 8. [ base::eval(...) ] with 1 more call | | -- 6. Error (test-control.R:71:3): parallel regions ---------------------------- | Error: gradient function must return a numeric vector of length 15 | Backtrace: | 1. glmmTMB:::capture_time_model(parallel = 1) test-control.R:71:2 | 2. glmmTMB:::myfit(...) test-control.R:64:4 | 3. glmmTMB::glmmTMB(...) test-control.R:54:4 | 4. glmmTMB::fitTMB(TMBStruc) | 6. glmmTMB:::optfun() | 8. base::with.default(...) | 9. [ base::eval(...) ] with 1 more call | | -- 7. Error (test-disp.R:33:1): (code run outside of `test_that()`) ------------ | Error: gradient function must return a numeric vector of length 5 | Backtrace: | 1. glmmTMB::glmmTMB(x ~ disp + (1 | fac), dispformula = ~disp, dat) | test-disp.R:33:0 | 2. glmmTMB::fitTMB(TMBStruc) | 4. glmmTMB:::optfun() | 6. base::with.default(...) | 7. [ base::eval(...) ] with 1 more call | | -- 8. Error (test-edgecases.R:9:5): profiling failure -------------------------- | Error: gradient function must return a numeric vector of length 3 | Backtrace: | 1. testthat::expect_warning(...) test-edgecases.R:9:4 | 6. glmmTMB::glmmTMB(...) | 7. glmmTMB::fitTMB(TMBStruc) | 9. glmmTMB:::optfun() | 11. base::with.default(...) | 12. [ base::eval(...) ] with 1 more call | | -- 9. Error (test-env.R:18:5): basic example #1 -------------------------------- | Error: gradient function must return a numeric vector of length 4 | Backtrace: | 1. glmmTMB::glmmTMB(Reaction ~ Days + (1 | Subject), data = | sleepstudy) test-env.R:18:4 | 2. glmmTMB::fitTMB(TMBStruc) | 4. glmmTMB:::optfun() | 6. base::with.default(...) | 7. [ base::eval(...) ] with 1 more call | | -- 10. Error (test-env.R:34:5): paranoia --------------------------------------- | Error: gradient function must return a numeric vector of length 4 | Backtrace: | 1. glmmTMB::glmmTMB(Reaction ~ Days + (1 | Subject), data = | sleepstudy) test-env.R:34:4 | 2. glmmTMB::fitTMB(TMBStruc) | 4. glmmTMB:::optfun() | 6. base::with.default(...) | 7. [ base::eval(...) ] with 1 more call | ... and 20 more | | | Maximum number of 10 failures reached, some test results may be missing. -- https://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org
