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###
### Running command:
###
###   /home/biocbuild/R/R/bin/R CMD check --install=check:DelayedTensor.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings DelayedTensor_1.11.1.tar.gz
###
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* using log directory ‘/home/biocbuild/bbs-3.20-bioc/meat/DelayedTensor.Rcheck’
* using R version 4.4.1 (2024-06-14)
* using platform: aarch64-unknown-linux-gnu
* R was compiled by
    gcc (GCC) 12.2.1 20220819 (openEuler 12.2.1-14)
    GNU Fortran (GCC) 10.3.1
* running under: openEuler 22.03 (LTS-SP1)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘DelayedTensor/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘DelayedTensor’ version ‘1.11.1’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘DelayedTensor’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... WARNING
  
  Note: significantly better compression could be obtained
        by using R CMD build --resave-data
                      old_size new_size compress
  human_mid_brain.rda    677Kb    442Kb       xz
  mouse_mid_brain.rda    761Kb    511Kb       xz
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
          user system elapsed
cp     168.302  4.362 173.190
tucker  24.655  0.690  25.411
mpca    11.501  0.278  12.726
pvd      6.998  0.128   7.972
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 WARNING
See
  ‘/home/biocbuild/bbs-3.20-bioc/meat/DelayedTensor.Rcheck/00check.log’
for details.

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###
### Running command:
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###   /home/biocbuild/R/R/bin/R CMD INSTALL DelayedTensor
###
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* installing to library ‘/home/biocbuild/R/R-4.4.1/site-library’
* installing *source* package ‘DelayedTensor’ ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
Creating a new generic function for ‘kronecker’ in package ‘DelayedTensor’
Creating a new generic function for ‘diag’ in package ‘DelayedTensor’
Creating a new generic function for ‘diag<-’ in package ‘DelayedTensor’
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (DelayedTensor)

R version 4.4.1 (2024-06-14) -- "Race for Your Life"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library("DelayedArray")
Loading required package: stats4
Loading required package: Matrix
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, saveRDS, setdiff, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: MatrixGenerics
Loading required package: matrixStats

Attaching package: 'MatrixGenerics'

The following objects are masked from 'package:matrixStats':

    colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
    colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
    colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
    colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
    colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
    colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
    colWeightedMeans, colWeightedMedians, colWeightedSds,
    colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
    rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
    rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
    rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
    rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
    rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
    rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
    rowWeightedSds, rowWeightedVars

Loading required package: S4Vectors

Attaching package: 'S4Vectors'

The following objects are masked from 'package:Matrix':

    expand, unname

The following object is masked from 'package:utils':

    findMatches

The following objects are masked from 'package:base':

    I, expand.grid, unname

Loading required package: IRanges
Loading required package: S4Arrays
Loading required package: abind

Attaching package: 'S4Arrays'

The following object is masked from 'package:abind':

    abind

The following object is masked from 'package:base':

    rowsum

Loading required package: SparseArray

Attaching package: 'DelayedArray'

The following objects are masked from 'package:base':

    apply, scale, sweep

> # library("HDF5Array") # comment out
> # library("BiocSingular") # comment out
> library("rTensor")

Attaching package: 'rTensor'

The following object is masked from 'package:S4Vectors':

    fold

> library("DelayedRandomArray")
> # library("irlba") # comment out
> # library("Matrix") # comment out
> library("einsum")
> library("DelayedTensor")

Attaching package: 'DelayedTensor'

The following object is masked from 'package:einsum':

    einsum

The following objects are masked from 'package:rTensor':

    cp, cs_fold, cs_unfold, fnorm, fold, hadamard_list, hosvd,
    innerProd, k_fold, k_unfold, khatri_rao, khatri_rao_list,
    kronecker_list, matvec, modeMean, modeSum, mpca, pvd, rs_fold,
    rs_unfold, ttl, ttm, tucker, unfold, unmatvec, vec

The following object is masked from 'package:S4Vectors':

    fold

The following objects are masked from 'package:Matrix':

    diag, diag<-, kronecker

The following object is masked from 'package:methods':

    kronecker

The following objects are masked from 'package:base':

    diag, diag<-, kronecker

> library("reticulate")
> library("testthat")
> library("HDF5Array")
Loading required package: rhdf5

Attaching package: 'HDF5Array'

The following object is masked from 'package:rhdf5':

    h5ls

> 
> # Setting
> options(testthat.use_colours = FALSE)
> options(delayedtensor.sparse = FALSE)
> options(delayedtensor.verbose = FALSE)
> setHDF5DumpChunkLength(length = 1000000L)
> setHDF5DumpCompressionLevel(level = 9L)
> source("testthat/test_Einsum_objects.R")
> 
> # source("../R/Decomp.R") # comment out
> # source("../R/Einsum.R") # comment out
> # source("../R/Generics.R") # comment out
> # source("../R/Global-settings.R") # comment out
> # source("../R/Misc.R") # comment out
> # source("../R/SVD.R") # comment out
> # source("../R/Utils.R") # comment out
> # source("../R/zzz.R") # comment out
> 
> # for(size in c(1E+9,1E+8,1E+7,1E+6,1E+5,1E+4,1E+3,1E+2,50,20:1)){ # comment out
> # setAutoBlockSize(size=size) # comment out
> # getAutoBlockSize() # comment out
> test_file("testthat/test_Generics.R")

══ Testing test_Generics.R ═════════════════════════════════════════════════════

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 1 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 2 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 3 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 4 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 5 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 6 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 6 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 7 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 8 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 9 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 9 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 10 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 10 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 11 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 12 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 13 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 13 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 14 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 15 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 16 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 16 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 17 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 18 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 19 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 20 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 21 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 22 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 22 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 23 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 24 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 25 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 26 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 27 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 28 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 28 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 29 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 29 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 30 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 30 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 31 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 31 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 32 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 32 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 33 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 33 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 34 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 34 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 35 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 35 ]
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 35 ]

── Error ('test_Generics.R:168:1'): (code run outside of `test_that()`) ────────
Error in `all.equal.numeric(x, y, tolerance = tolerance, check.attributes = check.attributes, 
    ...)`: length(tolerance) == 1L is not TRUE
Backtrace:
    ▆
 1. └─testthat::expect_equal(tnsr@data, tnsr2@data, as.array(darr2)) at test_Generics.R:168:1
 2.   ├─testthat::compare(act$val, exp$val, ...)
 3.   └─testthat:::compare.numeric(act$val, exp$val, ...)
 4.     ├─base::all.equal(...)
 5.     └─base::all.equal.numeric(...)
 6.       └─base::stopifnot(length(tolerance) == 1L)

[ FAIL 1 | WARN 0 | SKIP 0 | PASS 35 ]
> test_file("testthat/test_Misc.R")

══ Testing test_Misc.R ═════════════════════════════════════════════════════════

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 1 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 1 ]
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 1 ]

── Error ('test_Misc.R:29:1'): (code run outside of `test_that()`) ─────────────
Error in `all.equal.numeric(x, y, tolerance = tolerance, check.attributes = check.attributes, 
    ...)`: length(tolerance) == 1L is not TRUE
Backtrace:
    ▆
 1. └─testthat::expect_equal(...) at test_Misc.R:29:1
 2.   ├─testthat::compare(act$val, exp$val, ...)
 3.   └─testthat:::compare.numeric(act$val, exp$val, ...)
 4.     ├─base::all.equal(...)
 5.     └─base::all.equal.numeric(...)
 6.       └─base::stopifnot(length(tolerance) == 1L)

[ FAIL 1 | WARN 0 | SKIP 0 | PASS 1 ]
> # test_file("testthat/test_SVD.R") # comment out
> test_file("testthat/test_4thorder.R")

══ Testing test_4thorder.R ═════════════════════════════════════════════════════

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ][1] "unfold"

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 1 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 2 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 3 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 4 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 5 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 6 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 7 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 7 ][1] "modeSum"

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 8 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 9 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 10 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 11 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 12 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 13 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 14 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 15 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 15 ][1] "innerProd"

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 16 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 16 ][1] "vec"

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 17 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 17 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 18 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 18 ][1] "fold"

[ FAIL 1 | WARN 0 | SKIP 0 | PASS 18 ]

── Error ('test_4thorder.R:91:1'): (code run outside of `test_that()`) ─────────
Error in `all.equal.numeric(x, y, tolerance = tolerance, check.attributes = check.attributes, 
    ...)`: length(tolerance) == 1L is not TRUE
Backtrace:
    ▆
 1. └─testthat::expect_equal(arr4, tnsr4_2@data, as.array(darr4_2)) at test_4thorder.R:91:1
 2.   ├─testthat::compare(act$val, exp$val, ...)
 3.   └─testthat:::compare.numeric(act$val, exp$val, ...)
 4.     ├─base::all.equal(...)
 5.     └─base::all.equal.numeric(...)
 6.       └─base::stopifnot(length(tolerance) == 1L)

[ FAIL 1 | WARN 0 | SKIP 0 | PASS 18 ]
> test_file("testthat/test_Einsum.R")

══ Testing test_Einsum.R ═══════════════════════════════════════════════════════

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ]
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ]
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ]

── Error ('test_Einsum.R:4:1'): (code run outside of `test_that()`) ────────────
Error in `all.equal.numeric(x, y, tolerance = tolerance, check.attributes = check.attributes, 
    ...)`: length(tolerance) == 1L is not TRUE
Backtrace:
    ▆
 1. └─testthat::expect_equal(...) at test_Einsum.R:4:1
 2.   ├─testthat::compare(act$val, exp$val, ...)
 3.   └─testthat:::compare.numeric(act$val, exp$val, ...)
 4.     ├─base::all.equal(...)
 5.     └─base::all.equal.numeric(...)
 6.       └─base::stopifnot(length(tolerance) == 1L)

[ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ]
> # gc();gc() # comment out
> # } # comment out
> 
> # setAutoBlockSize(size=1E+8)
> # test_file("testthat/test_Decomp.R")
> # test_file("testthat/test_Einsum_Py.R") # comment out
> # source("testthat/test_Verbose.R")
> # source("testthat/test_Sparse.R")
> 
> # Profiling
> # source("testthat/test_SuperBig.R") # comment out
> 
> proc.time()
   user  system elapsed 
 25.473   1.145  26.689