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This page was generated on 2023-02-27 02:34:32 -0000 (Mon, 27 Feb 2023).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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kunpeng1 | Linux (Ubuntu 22.04.1 LTS) | aarch64 | R Under development (unstable) (2023-01-14 r83615) -- "Unsuffered Consequences" | 4259 |
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To the developers/maintainers of the DelayedArray package: - Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/DelayedArray.git to reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
Package 494/2169 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
DelayedArray 0.25.0 (landing page) Hervé Pagès
| kunpeng1 | Linux (Ubuntu 22.04.1 LTS) / aarch64 | OK | OK | ERROR | |||||||||
Package: DelayedArray |
Version: 0.25.0 |
Command: /home/biocbuild/bbs-3.17-bioc/R/bin/R CMD check --install=check:DelayedArray.install-out.txt --library=/home/biocbuild/bbs-3.17-bioc/R/library --timings DelayedArray_0.25.0.tar.gz |
StartedAt: 2023-02-24 09:58:50 -0000 (Fri, 24 Feb 2023) |
EndedAt: 2023-02-24 10:19:11 -0000 (Fri, 24 Feb 2023) |
EllapsedTime: 1220.8 seconds |
RetCode: 1 |
Status: ERROR |
CheckDir: DelayedArray.Rcheck |
Warnings: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.17-bioc/R/bin/R CMD check --install=check:DelayedArray.install-out.txt --library=/home/biocbuild/bbs-3.17-bioc/R/library --timings DelayedArray_0.25.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.17-bioc/meat/DelayedArray.Rcheck’ * using R Under development (unstable) (2023-01-14 r83615) * using platform: aarch64-unknown-linux-gnu (64-bit) * R was compiled by gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 GNU Fortran (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 * running under: Ubuntu 22.04.1 LTS * using session charset: UTF-8 * checking for file ‘DelayedArray/DESCRIPTION’ ... OK * this is package ‘DelayedArray’ version ‘0.25.0’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... NOTE Depends: includes the non-default packages: 'stats4', 'Matrix', 'BiocGenerics', 'MatrixGenerics', 'S4Vectors', 'IRanges' Adding so many packages to the search path is excessive and importing selectively is preferable. * 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 ‘DelayedArray’ can be installed ... WARNING Found the following significant warnings: compress_atomic_vector.c:66:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] compress_atomic_vector.c:73:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] compress_atomic_vector.c:85:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] compress_atomic_vector.c:92:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] See ‘/home/biocbuild/bbs-3.17-bioc/meat/DelayedArray.Rcheck/00install.out’ for details. * used C compiler: ‘gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0’ * 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 ... WARNING Subdirectory 'inst/doc' contains invalid file names: ‘02-Implementing_a_backend.Rmd’ ‘01-Working_with_large_arrays.Rnw’ ‘03-DelayedArray_HDF5Array_update.Rnw’ ‘02-Implementing_a_backend.html’ ‘01-Working_with_large_arrays.pdf’ ‘03-DelayedArray_HDF5Array_update.pdf’ Please remove or rename the files. See section ‘Package subdirectories’ in the ‘Writing R Extensions’ manual. * checking R 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 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 ... WARNING Undocumented code objects: ‘defaultMultAutoGrids’ ‘multGrids’ Undocumented S4 methods: generic '[' and siglist 'DelayedArray,ANY,ANY,ANY' generic '[<-' and siglist 'DelayedArray,ANY,ANY,ANY' generic 'crossprod' and siglist 'ANY,DelayedMatrix' generic 'crossprod' and siglist 'DelayedMatrix,ANY' generic 'crossprod' and siglist 'DelayedMatrix,DelayedMatrix' generic 'crossprod' and siglist 'DelayedMatrix,missing' generic 'tcrossprod' and siglist 'ANY,DelayedMatrix' generic 'tcrossprod' and siglist 'DelayedMatrix,ANY' generic 'tcrossprod' and siglist 'DelayedMatrix,DelayedMatrix' generic 'tcrossprod' and siglist 'DelayedMatrix,missing' All user-level objects in a package (including S4 classes and methods) should have documentation entries. See chapter ‘Writing R documentation files’ in the ‘Writing R Extensions’ manual. * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking compiled code ... NOTE Note: information on .o files is not available * checking files in ‘vignettes’ ... OK * checking examples ... ERROR Running examples in ‘DelayedArray-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: RleArray-class > ### Title: RleArray objects > ### Aliases: class:RleArray RleArray-class RleArray > ### DelayedArray,RleArraySeed-method coerce,RleArray,Rle-method > ### class:RleMatrix RleMatrix-class RleMatrix matrixClass,RleArray-method > ### coerce,RleArray,RleMatrix-method coerce,RleMatrix,RleArray-method > ### coerce,ANY,RleMatrix-method coerce,RleList,RleArray-method > ### coerce,RleMatrix,RleList-method coerce,DataFrame,RleArray-method > ### coerce,RleMatrix,DataFrame-method > ### coerce,DelayedMatrix,DataFrame-method > ### write_block,RleRealizationSink-method > ### coerce,RleRealizationSink,RleArray-method > ### coerce,RleRealizationSink,DelayedArray-method > ### coerce,ANY,RleArray-method coerce,DelayedArray,RleArray-method > ### coerce,DelayedMatrix,RleMatrix-method > ### Keywords: classes methods > > ### ** Examples > > ## --------------------------------------------------------------------- > ## A. BASIC EXAMPLE > ## --------------------------------------------------------------------- > > data <- Rle(sample(6L, 500000, replace=TRUE), 8) > a <- array(data, dim=c(50, 20, 4000)) # array() expands the Rle object > # internally with as.vector() > > A <- RleArray(data, dim=c(50, 20, 4000)) # Rle object is NOT expanded > A <50 x 20 x 4000> array of class RleArray and type "integer": ,,1 [,1] [,2] [,3] [,4] ... [,17] [,18] [,19] [,20] [1,] 1 6 5 5 . 3 4 2 6 [2,] 1 6 5 5 . 3 4 2 6 ... . . . . . . . . . [49,] 6 5 5 5 . 4 2 6 5 [50,] 6 5 5 5 . 4 2 6 5 ... ,,4000 [,1] [,2] [,3] [,4] ... [,17] [,18] [,19] [,20] [1,] 3 5 3 5 . 6 3 5 3 [2,] 3 5 3 5 . 6 3 5 3 ... . . . . . . . . . [49,] 5 3 5 1 . 3 5 3 6 [50,] 5 3 5 1 . 3 5 3 6 > > object.size(a) 16000224 bytes > object.size(A) 3335080 bytes > > stopifnot(identical(a, as.array(A))) > > as(A, "Rle") # deconstruction integer-Rle of length 4000000 with 416534 runs Lengths: 8 8 8 8 8 8 8 8 16 8 16 ... 16 16 8 8 8 8 8 8 8 8 Values : 1 4 1 2 5 3 6 2 3 1 5 ... 1 3 6 3 4 6 3 4 1 6 > > toto <- function(x) (5 * x[ , , 1] ^ 3 + 1L) * log(x[, , 2]) > m1 <- toto(a) > head(m1) [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 10.75056 1187.6 433.91014 0.0000 56.83807 222.5002 352.6545 0.000000 [2,] 10.75056 1187.6 433.91014 0.0000 56.83807 222.5002 352.6545 0.000000 [3,] 10.75056 1187.6 433.91014 687.7313 56.83807 222.5002 352.6545 4.158883 [4,] 10.75056 1187.6 433.91014 687.7313 56.83807 222.5002 352.6545 4.158883 [5,] 10.75056 1187.6 73.46214 687.7313 56.83807 222.5002 352.6545 4.158883 [6,] 10.75056 1187.6 73.46214 687.7313 56.83807 222.5002 352.6545 4.158883 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 0 1936.892 1187.6 0.000000 516.6296 1121.641 1936.89199 575.1548 [2,] 0 1936.892 1187.6 0.000000 516.6296 1121.641 1936.89199 575.1548 [3,] 0 1936.892 1187.6 6.591674 516.6296 1121.641 1936.89199 243.6793 [4,] 0 1936.892 1187.6 6.591674 516.6296 1121.641 1936.89199 243.6793 [5,] 0 1936.892 0.0 6.591674 516.6296 1121.641 28.41903 243.6793 [6,] 0 1936.892 0.0 6.591674 516.6296 1121.641 28.41903 243.6793 [,17] [,18] [,19] [,20] [1,] 188.536 352.6545 56.83807 0 [2,] 188.536 352.6545 56.83807 0 [3,] 188.536 352.6545 56.83807 0 [4,] 188.536 352.6545 56.83807 0 [5,] 188.536 352.6545 149.41127 0 [6,] 188.536 352.6545 149.41127 0 > > M1 <- toto(A) # very fast! (operations are delayed) > M1 <50 x 20> matrix of class DelayedMatrix and type "double": [,1] [,2] [,3] ... [,19] [,20] [1,] 10.75056 1187.59988 433.91014 . 56.83807 0.00000 [2,] 10.75056 1187.59988 433.91014 . 56.83807 0.00000 [3,] 10.75056 1187.59988 433.91014 . 56.83807 0.00000 [4,] 10.75056 1187.59988 433.91014 . 56.83807 0.00000 [5,] 10.75056 1187.59988 73.46214 . 149.41127 0.00000 ... . . . . . . [46,] 243.6793 867.8203 0.0000 . 0.0000 867.8203 [47,] 243.6793 433.9101 0.0000 . 0.0000 867.8203 [48,] 243.6793 433.9101 0.0000 . 0.0000 867.8203 [49,] 1187.5999 433.9101 0.0000 . 0.0000 867.8203 [50,] 1187.5999 433.9101 0.0000 . 0.0000 867.8203 > > stopifnot(identical(m1, as.array(M1))) > > cs <- colSums(m1) > CS <- colSums(M1) > stopifnot(identical(cs, CS)) > > ## Coercing a DelayedMatrix object to DataFrame produces a DataFrame > ## object with Rle columns: > as(M1, "DataFrame") DataFrame with 50 rows and 20 columns V1 V2 V3 V4 <Rle> <Rle> <Rle> <Rle> 1 10.7505568153683 1187.59988405023 433.910135030526 0 2 10.7505568153683 1187.59988405023 433.910135030526 0 3 10.7505568153683 1187.59988405023 433.910135030526 687.731292706237 4 10.7505568153683 1187.59988405023 433.910135030526 687.731292706237 5 10.7505568153683 1187.59988405023 73.4621382383502 687.731292706237 ... ... ... ... ... 46 243.679287815015 867.820270061051 0 0 47 243.679287815015 433.910135030526 0 0 48 243.679287815015 433.910135030526 0 0 49 1187.59988405023 433.910135030526 0 0 50 1187.59988405023 433.910135030526 0 0 V5 V6 V7 V8 <Rle> <Rle> <Rle> <Rle> 1 56.8380688059155 222.500244959742 352.654544662463 0 2 56.8380688059155 222.500244959742 352.654544662463 0 3 56.8380688059155 222.500244959742 352.654544662463 4.15888308335967 4 56.8380688059155 222.500244959742 352.654544662463 4.15888308335967 5 56.8380688059155 222.500244959742 352.654544662463 4.15888308335967 ... ... ... ... ... 46 4.15888308335967 1187.59988405023 0 218.883556091038 47 4.15888308335967 352.654544662463 0 218.883556091038 48 4.15888308335967 352.654544662463 0 218.883556091038 49 222.500244959742 352.654544662463 0 218.883556091038 50 222.500244959742 352.654544662463 0 218.883556091038 V9 V10 V11 V12 <Rle> <Rle> <Rle> <Rle> 1 0 1936.89198623553 1187.59988405023 0 2 0 1936.89198623553 1187.59988405023 0 3 0 1936.89198623553 1187.59988405023 6.59167373200866 4 0 1936.89198623553 1187.59988405023 6.59167373200866 5 0 1936.89198623553 0 6.59167373200866 ... ... ... ... ... 46 73.4621382383502 0 0 0 47 73.4621382383502 1187.59988405023 0 0 48 73.4621382383502 1187.59988405023 0 0 49 1936.89198623553 1187.59988405023 0 0 50 1936.89198623553 1187.59988405023 0 0 V13 V14 V15 V16 <Rle> <Rle> <Rle> <Rle> 1 516.629569891346 1121.64142773676 1936.89198623553 575.154789622206 2 516.629569891346 1121.64142773676 1936.89198623553 575.154789622206 3 516.629569891346 1121.64142773676 1936.89198623553 243.679287815015 4 516.629569891346 1121.64142773676 1936.89198623553 243.679287815015 5 516.629569891346 1121.64142773676 28.4190344029578 243.679287815015 ... ... ... ... ... 46 4.15888308335967 243.679287815015 575.154789622206 188.536033112305 47 4.15888308335967 1936.89198623553 575.154789622206 188.536033112305 48 4.15888308335967 1936.89198623553 575.154789622206 188.536033112305 49 1121.64142773676 1936.89198623553 575.154789622206 188.536033112305 50 1121.64142773676 1936.89198623553 575.154789622206 188.536033112305 V17 V18 V19 V20 <Rle> <Rle> <Rle> <Rle> 1 188.536033112305 352.654544662463 56.8380688059155 0 2 188.536033112305 352.654544662463 56.8380688059155 0 3 188.536033112305 352.654544662463 56.8380688059155 0 4 188.536033112305 352.654544662463 56.8380688059155 0 5 188.536033112305 352.654544662463 149.411271258863 0 ... ... ... ... ... 46 0 243.679287815015 0 867.820270061051 47 0 56.8380688059155 0 867.820270061051 48 0 56.8380688059155 0 867.820270061051 49 352.654544662463 56.8380688059155 0 867.820270061051 50 352.654544662463 56.8380688059155 0 867.820270061051 > > ## --------------------------------------------------------------------- > ## B. MAKING AN RleArray OBJECT FROM A LIST-LIKE OBJECT OF Rle OBJECTS > ## --------------------------------------------------------------------- > > ## From a DataFrame object: > DF <- DataFrame(A=Rle(sample(3L, 100, replace=TRUE)), + B=Rle(sample(3L, 100, replace=TRUE)), + C=Rle(sample(3L, 100, replace=TRUE) - 0.5), + row.names=sprintf("ID%03d", 1:100)) > > M2 <- RleArray(DF) > M2 <100 x 3> matrix of class RleMatrix and type "double": A B C ID001 1.0 3.0 1.5 ID002 2.0 3.0 0.5 ID003 3.0 3.0 0.5 ID004 3.0 3.0 2.5 ID005 3.0 1.0 1.5 ... . . . ID096 2.0 3.0 2.5 ID097 3.0 1.0 1.5 ID098 1.0 1.0 2.5 ID099 2.0 1.0 0.5 ID100 2.0 3.0 2.5 > > A3 <- RleArray(DF, dim=c(25, 6, 2)) > A3 <25 x 6 x 2> array of class RleArray and type "double": ,,1 [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1 3 2 2 3 3 [2,] 2 1 2 2 3 1 ... . . . . . . [24,] 1 3 2 2 3 1 [25,] 3 3 2 2 3 2 ,,2 [,1] [,2] [,3] [,4] [,5] [,6] [1,] 2.0 3.0 1.5 2.5 0.5 0.5 [2,] 3.0 3.0 0.5 1.5 0.5 2.5 ... . . . . . . [24,] 2.0 1.0 2.5 1.5 1.5 0.5 [25,] 3.0 3.0 2.5 0.5 1.5 2.5 > > M4 <- RleArray(DF, dim=c(25, 12), dimnames=list(LETTERS[1:25], NULL)) > M4 <25 x 12> matrix of class RleMatrix and type "double": [,1] [,2] [,3] ... [,11] [,12] A 1 3 2 . 0.5 0.5 B 2 1 2 . 0.5 2.5 C 3 1 1 . 0.5 0.5 D 3 3 2 . 2.5 1.5 E 3 1 2 . 2.5 0.5 . . . . . . . U 2 2 3 . 0.5 2.5 V 2 3 2 . 2.5 1.5 W 3 3 2 . 0.5 2.5 X 1 3 2 . 1.5 0.5 Y 3 3 2 . 1.5 2.5 > > ## From an ordinary list: > ## If all the supplied Rle objects have the same length and if the 'dim' > ## argument is not specified, then the RleArray() constructor returns an > ## RleMatrix object with 1 column per Rle object. If the 'dimnames' > ## argument is not specified, then the names on the list are propagated > ## as the colnames of the returned object. > data <- as.list(DF) > M2b <- RleArray(data) > A3b <- RleArray(data, dim=c(25, 6, 2)) > M4b <- RleArray(data, dim=c(25, 12), dimnames=list(LETTERS[1:25], NULL)) > > data2 <- list(Rle(sample(3L, 9, replace=TRUE)) * 11L, + Rle(sample(3L, 15, replace=TRUE))) > ## Not run: > ##D RleArray(data2) # error! (cannot infer the dim) > ## End(Not run) > RleArray(data2, dim=c(4, 6)) <4 x 6> matrix of class RleMatrix and type "integer": [,1] [,2] [,3] [,4] [,5] [,6] [1,] 22 22 22 1 3 3 [2,] 22 22 3 3 2 2 [3,] 33 22 1 1 3 3 [4,] 11 33 3 2 2 1 > > ## From an RleList object: > data <- RleList(data) > M2c <- RleArray(data) > A3c <- RleArray(data, dim=c(25, 6, 2)) > M4c <- RleArray(data, dim=c(25, 12), dimnames=list(LETTERS[1:25], NULL)) > > data2 <- RleList(data2) > ## Not run: > ##D RleArray(data2) # error! (cannot infer the dim) > ## End(Not run) > RleArray(data2, dim=4:2) <4 x 3 x 2> array of class RleArray and type "integer": ,,1 [,1] [,2] [,3] [1,] 22 22 22 [2,] 22 22 3 [3,] 33 22 1 [4,] 11 33 3 ,,2 [,1] [,2] [,3] [1,] 1 3 3 [2,] 3 2 2 [3,] 1 3 3 [4,] 2 2 1 > > ## Sanity checks: > data0 <- as.vector(unlist(DF, use.names=FALSE)) > m2 <- matrix(data0, ncol=3, dimnames=dimnames(M2)) > stopifnot(identical(m2, as.matrix(M2))) > rownames(m2) <- NULL > stopifnot(identical(m2, as.matrix(M2b))) > stopifnot(identical(m2, as.matrix(M2c))) > a3 <- array(data0, dim=c(25, 6, 2)) > stopifnot(identical(a3, as.array(A3))) > stopifnot(identical(a3, as.array(A3b))) > stopifnot(identical(a3, as.array(A3c))) > m4 <- matrix(data0, ncol=12, dimnames=dimnames(M4)) > stopifnot(identical(m4, as.matrix(M4))) > stopifnot(identical(m4, as.matrix(M4b))) > stopifnot(identical(m4, as.matrix(M4c))) > > ## --------------------------------------------------------------------- > ## C. COERCING FROM RleList OR DataFrame TO RleMatrix > ## --------------------------------------------------------------------- > > ## Coercing an RleList object to RleMatrix only works if all the list > ## elements in the former have the same length. > x <- RleList(A=Rle(sample(3L, 20, replace=TRUE)), + B=Rle(sample(3L, 20, replace=TRUE))) > M <- as(x, "RleMatrix") > stopifnot(identical(x, as(M, "RleList"))) > > x <- DataFrame(A=x[[1]], B=x[[2]], row.names=letters[1:20]) > M <- as(x, "RleMatrix") > stopifnot(identical(x, as(M, "DataFrame"))) > > ## --------------------------------------------------------------------- > ## D. CONSTRUCTING A LARGE RleArray OBJECT > ## --------------------------------------------------------------------- > > ## The RleArray() constructor does not accept a "long" Rle object (i.e. > ## an object of length > .Machine$integer.max) at the moment: > ## Not run: > ##D RleArray(Rle(5, 3e9), dim=c(3, 1e9)) # error! > ## End(Not run) > > ## The workaround is to supply a list of Rle objects instead: > > toy_Rle <- function() { + run_lens <- c(sample(4), sample(rep(c(1:19, 40) * 3, 6e4)), sample(4)) + run_vals <- sample(700, length(run_lens), replace=TRUE) / 5 + Rle(run_vals, run_lens) + } > rle_list <- lapply(1:80, function(j) toy_Rle()) # takes about 20 sec. > > ## Cumulative length of all the Rle objects is > .Machine$integer.max: > sum(lengths(rle_list)) # 3.31e+09 [1] 3312001600 > > ## Feed 'rle_list' to the RleArray() constructor: > dim <- c(14395, 320, 719) > A <- RleArray(rle_list, dim) > A <14395 x 320 x 719> array of class RleArray and type "double": ,,1 Killed * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘run_unitTests.R’ OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes in ‘inst/doc’ ... OK * checking running R code from vignettes ... ‘02-Implementing_a_backend.Rmd’ using ‘UTF-8’... OK ‘01-Working_with_large_arrays.Rnw’ using ‘UTF-8’... OK ‘03-DelayedArray_HDF5Array_update.Rnw’ using ‘UTF-8’... OK NONE * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: 1 ERROR, 3 WARNINGs, 2 NOTEs See ‘/home/biocbuild/bbs-3.17-bioc/meat/DelayedArray.Rcheck/00check.log’ for details.
DelayedArray.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.17-bioc/R/bin/R CMD INSTALL DelayedArray ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.17-bioc/R/library’ * installing *source* package ‘DelayedArray’ ... ** using staged installation ** libs using C compiler: ‘gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0’ gcc -I"/home/biocbuild/bbs-3.17-bioc/R/include" -DNDEBUG -I'/home/biocbuild/bbs-3.17-bioc/R/library/S4Vectors/include' -I/usr/local/include -fPIC -g -O2 -Wall -c R_init_DelayedArray.c -o R_init_DelayedArray.o gcc -I"/home/biocbuild/bbs-3.17-bioc/R/include" -DNDEBUG -I'/home/biocbuild/bbs-3.17-bioc/R/library/S4Vectors/include' -I/usr/local/include -fPIC -g -O2 -Wall -c S4Vectors_stubs.c -o S4Vectors_stubs.o gcc -I"/home/biocbuild/bbs-3.17-bioc/R/include" -DNDEBUG -I'/home/biocbuild/bbs-3.17-bioc/R/library/S4Vectors/include' -I/usr/local/include -fPIC -g -O2 -Wall -c abind.c -o abind.o gcc -I"/home/biocbuild/bbs-3.17-bioc/R/include" -DNDEBUG -I'/home/biocbuild/bbs-3.17-bioc/R/library/S4Vectors/include' -I/usr/local/include -fPIC -g -O2 -Wall -c array_selection.c -o array_selection.o gcc -I"/home/biocbuild/bbs-3.17-bioc/R/include" -DNDEBUG -I'/home/biocbuild/bbs-3.17-bioc/R/library/S4Vectors/include' -I/usr/local/include -fPIC -g -O2 -Wall -c compress_atomic_vector.c -o compress_atomic_vector.o compress_atomic_vector.c: In function ‘C_encode_atomic_vector’: compress_atomic_vector.c:66:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] 66 | return ans; | ^~~ compress_atomic_vector.c: In function ‘C_decode_atomic_vector’: compress_atomic_vector.c:73:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] 73 | return ans; | ^~~ compress_atomic_vector.c: In function ‘C_compress_atomic_vector’: compress_atomic_vector.c:85:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] 85 | return ans; | ^~~ compress_atomic_vector.c: In function ‘C_decompress_atomic_vector’: compress_atomic_vector.c:92:16: warning: ‘ans’ is used uninitialized [-Wuninitialized] 92 | return ans; | ^~~ gcc -I"/home/biocbuild/bbs-3.17-bioc/R/include" -DNDEBUG -I'/home/biocbuild/bbs-3.17-bioc/R/library/S4Vectors/include' -I/usr/local/include -fPIC -g -O2 -Wall -c sparseMatrix_utils.c -o sparseMatrix_utils.o gcc -shared -L/home/biocbuild/bbs-3.17-bioc/R/lib -L/usr/local/lib -o DelayedArray.so R_init_DelayedArray.o S4Vectors_stubs.o abind.o array_selection.o compress_atomic_vector.o sparseMatrix_utils.o -L/home/biocbuild/bbs-3.17-bioc/R/lib -lR installing to /home/biocbuild/bbs-3.17-bioc/R/library/00LOCK-DelayedArray/00new/DelayedArray/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘rowsum’ in package ‘DelayedArray’ Creating a new generic function for ‘apply’ in package ‘DelayedArray’ Creating a new generic function for ‘sweep’ in package ‘DelayedArray’ Creating a new generic function for ‘scale’ in package ‘DelayedArray’ Creating a generic function for ‘dnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘pnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qnorm’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘pbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qbinom’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dpois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘ppois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qpois’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘dlogis’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘plogis’ from package ‘stats’ in package ‘DelayedArray’ Creating a generic function for ‘qlogis’ from package ‘stats’ in package ‘DelayedArray’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DelayedArray)
DelayedArray.Rcheck/tests/run_unitTests.Rout
R Under development (unstable) (2023-01-14 r83615) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: aarch64-unknown-linux-gnu (64-bit) 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. > require("DelayedArray") || stop("unable to load DelayedArray package") Loading required package: 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, setdiff, sort, 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 objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'DelayedArray' The following objects are masked from 'package:base': apply, rowsum, scale, sweep [1] TRUE > DelayedArray:::.test() Attaching package: 'genefilter' The following objects are masked from 'package:MatrixGenerics': rowSds, rowVars The following objects are masked from 'package:matrixStats': rowSds, rowVars 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, setdiff, sort, 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 objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'DelayedArray' The following objects are masked from 'package:base': apply, rowsum, scale, sweep 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, setdiff, sort, 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 objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'DelayedArray' The following objects are masked from 'package:base': apply, rowsum, scale, sweep 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, setdiff, sort, 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 objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'DelayedArray' The following objects are masked from 'package:base': apply, rowsum, scale, sweep 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, setdiff, sort, 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 objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'DelayedArray' The following objects are masked from 'package:base': apply, rowsum, scale, sweep Error in normarg_perm(perm, dim(seed)) : 'perm' must be an integer vector In addition: Warning messages: 1: In log(a + 0.2) : NaNs produced 2: In OP(a) : NaNs produced 3: Argument 'center' should be of the same length as number of rows of 'x'. Use of a scalar value is deprecated: 1 != 8 4: Argument 'center' should be of the same length as number of rows of 'x'. Use of a scalar value is deprecated: 1 != 8 5: Argument 'center' should be of the same length as number of rows of 'x'. Use of a scalar value is deprecated: 1 != 8 Error in validObject(.Object) : invalid class "DelayedAperm" object: 'perm' cannot be an empty vector Error in validObject(.Object) : invalid class "DelayedAperm" object: only dimensions equal to 1 can be dropped Error in validObject(.Object) : invalid class "DelayedAperm" object: all non-NA values in 'perm' must be >= 1 and <= 'length(dim(a))' Error in validObject(.Object) : invalid class "DelayedAperm" object: only dimensions equal to 1 can be dropped Error in seed(x) : seed() is not supported on a DelayedArray object with multiple seeds at the moment. Note that you can check the number of seeds with nseed(). You can use 'seedApply(x, identity)' to extract all the seeds as a list. Error in (function (classes, fdef, mtable) : unable to find an inherited method for function 'is_noop' for signature '"DelayedNaryIsoOp"' Error in seed(x) : seed() is not supported on a DelayedArray object with multiple seeds at the moment. Note that you can check the number of seeds with nseed(). You can use 'seedApply(x, identity)' to extract all the seeds as a list. Error in (function (classes, fdef, mtable) : unable to find an inherited method for function 'is_noop' for signature '"DelayedNaryIsoOp"' Error in seed(x) : seed() is not supported on a DelayedArray object with multiple seeds at the moment. Note that you can check the number of seeds with nseed(). You can use 'seedApply(x, identity)' to extract all the seeds as a list. Error in (function (classes, fdef, mtable) : unable to find an inherited method for function 'is_noop' for signature '"DelayedNaryIsoOp"' Error in seed(x) : seed() is not supported on a DelayedArray object with multiple seeds at the moment. Note that you can check the number of seeds with nseed(). You can use 'seedApply(x, identity)' to extract all the seeds as a list. Error in (function (classes, fdef, mtable) : unable to find an inherited method for function 'is_noop' for signature '"DelayedNaryIsoOp"' Error in seed(x) : seed() is not supported on a DelayedArray object with multiple seeds at the moment. Note that you can check the number of seeds with nseed(). You can use 'seedApply(x, identity)' to extract all the seeds as a list. Error in (function (classes, fdef, mtable) : unable to find an inherited method for function 'is_noop' for signature '"DelayedNaryIsoOp"' Error in match.fun(OP) : 'NULL' is not a function, character or symbol Error in match.fun(OP) : 'list(NULL)' is not a function, character or symbol Error in get(as.character(FUN), mode = "function", envir = envir) : object 'not-an-existing-function' of mode 'function' was not found Error in new_DelayedNaryIsoOp("<=", array(dim = 4:2), array(dim = 2:4)) : non-conformable array-like objects Error in normarg_dimnames(dimnames, seed_dim) : the supplied 'dimnames' must be NULL or a list Error in normarg_dimnames(dimnames, seed_dim) : the supplied 'dimnames' must have one list element per dimension Error in FUN(X[[i]], ...) : each list element in the supplied 'dimnames' must be NULL or a character vector Error in FUN(X[[i]], ...) : length of 'dimnames[[1]]' (26) must equal the array extent (5) Error in normalizeNindex(Nindex, seed) : 'Nindex' must be a list with one list element per dimension in 'x' Error in normalizeNindex(Nindex, seed) : 'Nindex' must be a list with one list element per dimension in 'x' Error : subscript contains out-of-bounds indices Error : subscript contains invalid names Error : subscript contains out-of-bounds ranges Error : subscript contains out-of-bounds ranges Error in new_DelayedUnaryIsoOpStack(.TEST_SAS3, NULL) : 'OPS' must be a list Error in FUN(X[[i]], ...) : 'OPS[[1L]]' is not a function, character or symbol Error in get(as.character(FUN), mode = "function", envir = envir) : object 'not-an-existing-function' of mode 'function' was not found RUNIT TEST PROTOCOL -- Fri Feb 24 10:18:22 2023 *********************************************** Number of test functions: 55 Number of errors: 0 Number of failures: 0 1 Test Suite : DelayedArray RUnit Tests - 55 test functions, 0 errors, 0 failures Number of test functions: 55 Number of errors: 0 Number of failures: 0 > > proc.time() user system elapsed 771.384 45.120 937.413
DelayedArray.Rcheck/DelayedArray-Ex.timings
name | user | system | elapsed | |
Array-class | 0.002 | 0.000 | 0.002 | |
ArrayGrid-class | 0.988 | 0.012 | 1.000 | |
AutoBlock-global-settings | 0.203 | 0.004 | 0.207 | |
AutoGrid | 1.433 | 0.044 | 1.526 | |
ConstantArray-class | 0.072 | 0.000 | 0.072 | |
DelayedAbind-class | 0.128 | 0.004 | 0.135 | |
DelayedAperm-class | 0.042 | 0.003 | 0.047 | |
DelayedArray-class | 8.853 | 0.140 | 8.995 | |
DelayedArray-stats | 2.144 | 0.052 | 2.210 | |
DelayedArray-utils | 12.167 | 0.259 | 12.480 | |
DelayedMatrix-stats | 3.097 | 0.240 | 3.406 | |
DelayedMatrix-utils | 22.259 | 11.242 | 54.471 | |
DelayedNaryIsoOp-class | 0.054 | 0.005 | 0.062 | |
DelayedSetDimnames-class | 0.026 | 0.000 | 0.026 | |
DelayedSubassign-class | 0.070 | 0.008 | 0.078 | |
DelayedSubset-class | 0.078 | 0.000 | 0.078 | |
DelayedUnaryIsoOpStack-class | 0.081 | 0.004 | 0.085 | |
DelayedUnaryIsoOpWithArgs-class | 0.197 | 0.044 | 0.240 | |