Last updated on 2025-12-20 11:50:14 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2024.6.19 | 13.93 | 62.97 | 76.90 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 2024.6.19 | 11.47 | 45.28 | 56.75 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 2024.6.19 | 32.00 | 97.25 | 129.25 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 2024.6.19 | 31.00 | 109.11 | 140.11 | ERROR | |
| r-devel-windows-x86_64 | 2024.6.19 | 18.00 | 105.00 | 123.00 | OK | |
| r-patched-linux-x86_64 | 2024.6.19 | 15.43 | 72.77 | 88.20 | OK | |
| r-release-linux-x86_64 | 2024.6.19 | 15.69 | 72.51 | 88.20 | OK | |
| r-release-macos-arm64 | 2024.6.19 | OK | ||||
| r-release-macos-x86_64 | 2024.6.19 | 10.00 | 88.00 | 98.00 | OK | |
| r-release-windows-x86_64 | 2024.6.19 | 19.00 | 102.00 | 121.00 | OK | |
| r-oldrel-macos-arm64 | 2024.6.19 | OK | ||||
| r-oldrel-macos-x86_64 | 2024.6.19 | 13.00 | 173.00 | 186.00 | OK | |
| r-oldrel-windows-x86_64 | 2024.6.19 | 23.00 | 134.00 | 157.00 | OK |
Version: 2024.6.19
Check: compiled code
Result: NOTE
File ‘aum/libs/aum.so’:
Found non-API call to R: ‘ATTRIB’
Compiled code should not call non-API entry points in R.
See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual,
and section ‘Moving into C API compliance’ for issues with the use of
non-API entry points.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 2024.6.19
Check: examples
Result: ERROR
Running examples in ‘aum-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: aum_linear_model_cv
> ### Title: aum linear model cv
> ### Aliases: aum_linear_model_cv
>
> ### ** Examples
>
>
> if(require("data.table"))setDTthreads(1L)#for CRAN check.
Loading required package: data.table
Attaching package: ‘data.table’
The following object is masked from ‘package:base’:
%notin%
>
> ## simulated binary classification problem.
> N.rows <- 60
> N.cols <- 2
> set.seed(1)
> feature.mat <- matrix(rnorm(N.rows*N.cols), N.rows, N.cols)
> unknown.score <- feature.mat[,1]*2.1 + rnorm(N.rows)
> label.vec <- ifelse(unknown.score > 0, 1, 0)
> diffs.dt <- aum::aum_diffs_binary(label.vec)
>
> ## Default line search keeps doing iterations until increase in AUM.
> (default.time <- system.time({
+ default.model <- aum::aum_linear_model_cv(feature.mat, diffs.dt)
+ }))
Error in `[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), :
attempt access index 3/3 in VECTOR_ELT
Calls: system.time -> <Anonymous> -> [ -> [.data.table
Timing stopped at: 0.108 0 0.109
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
aum_diffs_penalty 5.057 0.096 5.779
aum_line_search_grid 4.492 0.048 5.464
Flavor: r-devel-linux-x86_64-debian-clang
Version: 2024.6.19
Check: tests
Result: ERROR
Running ‘testthat.R’ [11s/9s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if(require(testthat))test_check("aum")
Loading required package: testthat
Loading required package: aum
Saving _problems/test-CRAN-linear-model-14.R
Saving _problems/test-CRAN-linear-model-20.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-CRAN-linear-model.R:12:3'): error when there are not enough data ──
`{ ... }` threw an error with unexpected message.
Expected match: "not enough data for 3-fold cross-validation, because there are only 2 examples for which there are non-zero values for the minority diff, fn"
Actual message: "attempt access index 3/3 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-CRAN-linear-model.R:12:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:13:5
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-CRAN-linear-model.R:20:3'): model fitting works if at least as many data as folds ──
Error in ``[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), l = .N))), by = minority.zero)`: attempt access index 3/3 in VECTOR_ELT
Backtrace:
▆
1. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:20:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 2024.6.19
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘speed-comparison.Rmd’ using knitr
Quitting from speed-comparison.Rmd:21-44 [unnamed-chunk-1]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error:
! attempt access index 16/16 in VECTOR_ELT
---
Backtrace:
▆
1. └─atime::atime(...)
2. └─atime:::run_bench_mark(times, elist[not.done.yet], N.env, result)
3. ├─base::suppressWarnings(eval(m.call, N.env))
4. │ └─base::withCallingHandlers(...)
5. └─base::eval(m.call, N.env)
6. └─base::eval(m.call, N.env)
7. └─bench::mark(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'speed-comparison.Rmd' failed with diagnostics:
attempt access index 16/16 in VECTOR_ELT
--- failed re-building ‘speed-comparison.Rmd’
SUMMARY: processing the following file failed:
‘speed-comparison.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 2024.6.19
Check: examples
Result: ERROR
Running examples in ‘aum-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: aum_linear_model_cv
> ### Title: aum linear model cv
> ### Aliases: aum_linear_model_cv
>
> ### ** Examples
>
>
> if(require("data.table"))setDTthreads(1L)#for CRAN check.
Loading required package: data.table
Attaching package: ‘data.table’
The following object is masked from ‘package:base’:
%notin%
>
> ## simulated binary classification problem.
> N.rows <- 60
> N.cols <- 2
> set.seed(1)
> feature.mat <- matrix(rnorm(N.rows*N.cols), N.rows, N.cols)
> unknown.score <- feature.mat[,1]*2.1 + rnorm(N.rows)
> label.vec <- ifelse(unknown.score > 0, 1, 0)
> diffs.dt <- aum::aum_diffs_binary(label.vec)
>
> ## Default line search keeps doing iterations until increase in AUM.
> (default.time <- system.time({
+ default.model <- aum::aum_linear_model_cv(feature.mat, diffs.dt)
+ }))
Error in `[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), :
attempt access index 3/3 in VECTOR_ELT
Calls: system.time -> <Anonymous> -> [ -> [.data.table
Timing stopped at: 0.066 0 0.105
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 2024.6.19
Check: tests
Result: ERROR
Running ‘testthat.R’ [8s/9s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if(require(testthat))test_check("aum")
Loading required package: testthat
Loading required package: aum
Saving _problems/test-CRAN-linear-model-14.R
Saving _problems/test-CRAN-linear-model-20.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-CRAN-linear-model.R:12:3'): error when there are not enough data ──
`{ ... }` threw an error with unexpected message.
Expected match: "not enough data for 3-fold cross-validation, because there are only 2 examples for which there are non-zero values for the minority diff, fn"
Actual message: "attempt access index 3/3 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-CRAN-linear-model.R:12:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:13:5
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-CRAN-linear-model.R:20:3'): model fitting works if at least as many data as folds ──
Error in ``[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), l = .N))), by = minority.zero)`: attempt access index 3/3 in VECTOR_ELT
Backtrace:
▆
1. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:20:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 2024.6.19
Check: examples
Result: ERROR
Running examples in ‘aum-Ex.R’ failed
The error most likely occurred in:
> ### Name: aum_linear_model_cv
> ### Title: aum linear model cv
> ### Aliases: aum_linear_model_cv
>
> ### ** Examples
>
>
> if(require("data.table"))setDTthreads(1L)#for CRAN check.
Loading required package: data.table
Attaching package: ‘data.table’
The following object is masked from ‘package:base’:
%notin%
>
> ## simulated binary classification problem.
> N.rows <- 60
> N.cols <- 2
> set.seed(1)
> feature.mat <- matrix(rnorm(N.rows*N.cols), N.rows, N.cols)
> unknown.score <- feature.mat[,1]*2.1 + rnorm(N.rows)
> label.vec <- ifelse(unknown.score > 0, 1, 0)
> diffs.dt <- aum::aum_diffs_binary(label.vec)
>
> ## Default line search keeps doing iterations until increase in AUM.
> (default.time <- system.time({
+ default.model <- aum::aum_linear_model_cv(feature.mat, diffs.dt)
+ }))
Error in `[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), :
attempt access index 3/3 in VECTOR_ELT
Calls: system.time -> <Anonymous> -> [ -> [.data.table
Timing stopped at: 0.174 0.002 0.181
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2024.6.19
Check: tests
Result: ERROR
Running ‘testthat.R’ [14s/16s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if(require(testthat))test_check("aum")
Loading required package: testthat
Loading required package: aum
Saving _problems/test-CRAN-linear-model-14.R
Saving _problems/test-CRAN-linear-model-20.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-CRAN-linear-model.R:12:3'): error when there are not enough data ──
`{ ... }` threw an error with unexpected message.
Expected match: "not enough data for 3-fold cross-validation, because there are only 2 examples for which there are non-zero values for the minority diff, fn"
Actual message: "attempt access index 3/3 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-CRAN-linear-model.R:12:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:13:5
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-CRAN-linear-model.R:20:3'): model fitting works if at least as many data as folds ──
Error in ``[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), l = .N))), by = minority.zero)`: attempt access index 3/3 in VECTOR_ELT
Backtrace:
▆
1. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:20:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2024.6.19
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘speed-comparison.Rmd’ using knitr
Quitting from speed-comparison.Rmd:21-44 [unnamed-chunk-1]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error:
! attempt access index 16/16 in VECTOR_ELT
---
Backtrace:
▆
1. └─atime::atime(...)
2. └─atime:::run_bench_mark(times, elist[not.done.yet], N.env, result)
3. ├─base::suppressWarnings(eval(m.call, N.env))
4. │ └─base::withCallingHandlers(...)
5. └─base::eval(m.call, N.env)
6. └─base::eval(m.call, N.env)
7. └─bench::mark(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'speed-comparison.Rmd' failed with diagnostics:
attempt access index 16/16 in VECTOR_ELT
--- failed re-building ‘speed-comparison.Rmd’
SUMMARY: processing the following file failed:
‘speed-comparison.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 2024.6.19
Check: examples
Result: ERROR
Running examples in ‘aum-Ex.R’ failed
The error most likely occurred in:
> ### Name: aum_linear_model_cv
> ### Title: aum linear model cv
> ### Aliases: aum_linear_model_cv
>
> ### ** Examples
>
>
> if(require("data.table"))setDTthreads(1L)#for CRAN check.
Loading required package: data.table
Attaching package: ‘data.table’
The following object is masked from ‘package:base’:
%notin%
>
> ## simulated binary classification problem.
> N.rows <- 60
> N.cols <- 2
> set.seed(1)
> feature.mat <- matrix(rnorm(N.rows*N.cols), N.rows, N.cols)
> unknown.score <- feature.mat[,1]*2.1 + rnorm(N.rows)
> label.vec <- ifelse(unknown.score > 0, 1, 0)
> diffs.dt <- aum::aum_diffs_binary(label.vec)
>
> ## Default line search keeps doing iterations until increase in AUM.
> (default.time <- system.time({
+ default.model <- aum::aum_linear_model_cv(feature.mat, diffs.dt)
+ }))
Error in `[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), :
attempt access index 3/3 in VECTOR_ELT
Calls: system.time -> <Anonymous> -> [ -> [.data.table
Timing stopped at: 0.157 0 0.159
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 2024.6.19
Check: tests
Result: ERROR
Running ‘testthat.R’ [15s/18s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if(require(testthat))test_check("aum")
Loading required package: testthat
Loading required package: aum
Saving _problems/test-CRAN-linear-model-14.R
Saving _problems/test-CRAN-linear-model-20.R
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-CRAN-linear-model.R:12:3'): error when there are not enough data ──
`{ ... }` threw an error with unexpected message.
Expected match: "not enough data for 3-fold cross-validation, because there are only 2 examples for which there are non-zero values for the minority diff, fn"
Actual message: "attempt access index 3/3 in VECTOR_ELT"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test-CRAN-linear-model.R:12:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:13:5
7. ├─...[]
8. └─data.table:::`[.data.table`(...)
── Error ('test-CRAN-linear-model.R:20:3'): model fitting works if at least as many data as folds ──
Error in ``[.data.table`(example.totals, , `:=`(fold, sample(rep(sample(uniq.folds), l = .N))), by = minority.zero)`: attempt access index 3/3 in VECTOR_ELT
Backtrace:
▆
1. └─aum::aum_linear_model_cv(feature.mat, diffs.dt, n.folds = n.folds) at test-CRAN-linear-model.R:20:3
2. ├─...[]
3. └─data.table:::`[.data.table`(...)
[ FAIL 2 | WARN 0 | SKIP 0 | PASS 102 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc