R Under development (unstable) (2024-09-13 r87147 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 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("RMVL") Loading required package: RMVL > > M3<-mvl_open("test_bracket2a.mvl", append=TRUE, create=TRUE) > > L<-list() > > df<-data.frame(x=1:1e5, y=rnorm(1e5), s=rep(c("a", "b"), 5e4), b=rnorm(1e5)<0.5) > L[["x"]]<-mvl_write_object(M3, df) > > aa<-array(rnorm(10000), c(10, 50, 20)) > L[["y"]]<-aa > > mm<-matrix(rnorm(10000), 10, 1000) > L[["z"]]<-mm > > LL2<-as.list(rnorm(10000)) > names(LL2)<-paste("x", 1:10000, sep="") > L[["LL2"]]<-LL2 > > L[["description"]]<-"Example of large data frame" > mvl_write_object(M3, L, "test_object") > > LM1<-lm(rnorm(100)~runif(100)) > mvl_write_serialized_object(M3, LM1, "LM1") > > mvl_close(M3) > > > M3<-mvl_open("test_bracket2a.mvl") > print(names(M3)) [1] "test_object" "LM1" > > L2<-M3["test_object", ref=TRUE] > > N<-dim(df)[1] > > compare_df<-function(x, y) { + if(length(dim(x))!=length(dim(y)))return(FALSE) + if(any(dim(x)!=dim(y)))return(FALSE) + if(any(names(x)!=names(y)))return(FALSE) + if(dim(x)[2]>0) { + for(i in 1:(dim(x)[2])) { + if(any(x[,i]!=y[,i]))return(FALSE) + } + } + return(TRUE) + } > > if(!compare_df(df, mvl2R(L2[["x"]]))) { + cat("test1a failed\n") + print(attributes(df)) + print(attributes(mvl2R(L2[["x"]]))) + cat("-----------\n") + } > > if(!isTRUE(all.equal(aa, mvl2R(L2[["y"]])))) { + cat("test1b failed\n") + print(all.equal(aa, mvl2R(L2[["y"]]))) + print(attributes(aa)) + print(attributes(mvl2R(L2[["y"]]))) + cat("-----------\n") + } > > if(!compare_df(mm, mvl2R(L2[["z"]]))) { + cat("test1c failed\n") + print(all.equal(mm, mvl2R(L2[["z"]]))) + print(attributes(mm)) + print(attributes(mvl2R(L2[["z"]]))) + cat("-----------\n") + } > > if(!isTRUE(all.equal(LL2, mvl2R(L2[["LL2"]])))) { + cat("test1d failed\n") + print(all.equal(LL2, mvl2R(L2[["LL2"]]))) + print(attributes(LL2)) + print(attributes(mvl2R(L2[["LL2"]]))) + cat("-----------\n") + } > > if(!isTRUE(all.equal("Example of large data frame", L2[["description"]]))) { + cat("test1e failed\n") + print(all.equal("Example of large data frame", L2[["description"]])) + print(attributes("Example of large data frame")) + print(attributes(L2[["description"]])) + cat("-----------\n") + } > > # # R behaviour is mixed in this situation > # # For lists R returns empty list, but (1:5)[[NA]] throws an exception > # # It would not be unreasonable to think that vec[[NA]] should be NA > # # On the other hand, subscripting with NA is inefficient, and throwing an exception > # # forces to filter out NAs first > # # For now, we throw an exception and bypass the test > # if(!isTRUE(all.equal(L[[NA]], mvl2R(L2[[NA]])))) { > # cat("test1e failed\n") > # print(all.equal(L[[NA]], mvl2R(L2[[NA]]))) > # print(attributes(L[[NA]])) > # print(attributes(mvl2R(L2[[NA]]))) > # cat("-----------\n") > # } > > if(!compare_df(df, mvl2R(L2[[1]]))) { + cat("test1f failed\n") + print(attributes(df)) + print(attributes(mvl2R(L2[[1]]))) + cat("-----------\n") + } > > if(!isTRUE(all.equal(aa, mvl2R(L2[[2]])))) { + cat("test1g failed\n") + print(all.equal(aa, mvl2R(L2[[2]]))) + print(attributes(aa)) + print(attributes(mvl2R(L2[[2]]))) + cat("-----------\n") + } > > if(!compare_df(mm, mvl2R(L2[[3]]))) { + cat("test1h failed\n") + print(all.equal(mm, mvl2R(L2[[3]]))) + print(attributes(mm)) + print(attributes(mvl2R(L2[[3]]))) + cat("-----------\n") + } > > if(!isTRUE(all.equal(LL2, mvl2R(L2[[4]])))) { + cat("test1i failed\n") + print(all.equal(LL2, mvl2R(L2[[4]]))) + print(attributes(LL2)) + print(attributes(mvl2R(L2[[4]]))) + cat("-----------\n") + } > > if(!isTRUE(all.equal("Example of large data frame", L2[[5]]))) { + cat("test1j failed\n") + print(all.equal("Example of large data frame", L2[[5]])) + print(attributes("Example of large data frame")) + print(attributes(L2[[5]])) + cat("-----------\n") + } > > # We need check.attributes=FALSE because on R 4.1.x there is a mismatch in array attributes - one has class and the other does not > if(!isTRUE(all.equal(L[c(2, 3)], L2[c(2,3), recurse=TRUE], check.attributes=FALSE))) { + cat("test2a failed\n") + print(all.equal(L[c(2, 3)], L2[c(2, 3), recurse=TRUE], check.attributes=FALSE)) + print(attributes(L[c(2, 3)])) + print(attributes(L2[c(2, 3), recurse=TRUE])) + cat("-----------\n") + } > > # Some of the names are NA and all.equal() does not handle this properly > if(!isTRUE(all.equal.list(L[c(2, NA, 3)], L2[c(2, NA, 3), recurse=TRUE], use.names=FALSE, check.attributes=FALSE))) { + cat("test2b failed\n") + print(all.equal.list(L[c(2, NA, 3)], L2[c(2, NA, 3), recurse=TRUE], use.names=FALSE, check.attributes=FALSE)) + print(attributes(L[c(2, NA, 3)])) + print(attributes(L2[c(2, NA, 3), recurse=TRUE])) + cat("-----------\n") + } > > if(!isTRUE(all.equal(L[c("y", "z")], L2[c("y", "z"), recurse=TRUE], check.attributes=FALSE))) { + cat("test2c failed\n") + print(all.equal(L[c("y", "z")], L2[c("y", "z"), recurse=TRUE], check.attributes=FALSE)) + print(attributes(L[c("y", "z")])) + print(attributes(L2[c("y", "z"), recurse=TRUE])) + cat("-----------\n") + } > > if(!isTRUE(all.equal(L[c("W", "y", "z")], L2[c("W", "y", "z"), recurse=TRUE], check.attributes=FALSE))) { + cat("test2d failed\n") + print(all.equal(L[c("W", "y", "z")], L2[c("W", "y", "z"), recurse=TRUE], check.attributes=FALSE)) + print(attributes(L[c("W", "y", "z")])) + print(attributes(L2[c("W", "y", "z"), recurse=TRUE])) + cat("-----------\n") + } > > if(!isTRUE(all.equal(L[c("W", "y", NA, "z")], L2[c("W", "y", NA, "z"), recurse=TRUE], check.attributes=FALSE))) { + cat("test2e failed\n") + print(all.equal(L[c("W", "y", NA, "z")], L2[c("W", "y", NA, "z"), recurse=TRUE], check.attributes=FALSE)) + print(attributes(L[c("W", "y", NA, "z")])) + print(attributes(L2[c("W", "y", NA, "z"), recurse=TRUE])) + cat("-----------\n") + } > > > proc.time() user system elapsed 1.04 0.04 1.07