similar to: Arrays Partial unserialization

I ran into an interesting error unserializing a file created with ascii=TRUE: R 3.5.1 (Windows or Linux): > unserialize(serialize(list(raw=as.raw(c(39,41))), NULL, version=2, ascii=TRUE)) Error in unserialize(serialize(list(raw = as.raw(c(39, 41))), NULL, version = 2, : ReadItem: unknown type 29, perhaps written by later version of R The same error happens when the

Hi, While debugging a network server I'm developing I noticed something unusual - call to unserialize() resulted in an error about loading a namespace. I was a bit taken back by this - why should unserializing an object cause a namespace lookup? Are there any other side-effects of unserialize() that I should be cautious about? I've been digging through the R_Unserialize() call, I

I use recordPlot() to save plots to disk that I render later to a variety of formats. This works fine for base R plots and ggplot2 plots, and also used to work for lattice plots. However somewhere in version 2.14 things stopped working for lattice plots. Here is an example: library(lattice); histogram(rnorm(100)); x <- recordPlot(); saveRDS(x, "myplot.rds"); y <-

Hi all, I am not able to export an ALTREP object when `gctorture` is on in the worker. The package simplemmap can be used to reproduce the problem. See the example below ``` ## Create a temporary file filePath <- tempfile() con <- file(filePath, "wrb") writeBin(rep(0.0,10),con) close(con) library(simplemmap) library(parallel) cl <- makeCluster(1) x <- mmap(filePath,

I stumbled upon the following: f <- parallel::mcparallel(raw(0L)) parallel::mccollect(f) # $`77083` # NULL but f <- parallel::mcparallel(raw(1L)) parallel::mccollect(f) # Error in unserialize(r) : read error traceback() # 2: unserialize(r) # 1: parallel::mccollect(f) (restarting because the above appears to corrupt the R session) f <- parallel::mcparallel(raw(2L))

Hi, When trying to store a Array or Hash to a string field, ActiveRecord automatically serializes them to yaml. If that''s so why is there a special option called serialize? -- Azhagu Selvan http://tamizhgeek.in -- You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group, send email to

This Index: src/main/altrep.c =================================================================== --- src/main/altrep.c (revision 79385) +++ src/main/altrep.c (working copy) @@ -275,10 +275,11 @@ SEXP psym = ALTREP_SERIALIZED_CLASS_PKGSYM(info); SEXP class = LookupClass(csym, psym); if (class == NULL) { - SEXP pname = ScalarString(PRINTNAME(psym)); + SEXP pname =

Hello, I have some code which generates lattice objects. The function recieves serialized forms of the lattice objects which it then unserializes and then adds to an ArrayList<REXP>. REXPRaw rser = new REXPRaw( target ); //target contains the raw serialized forms of lattice objects rconn.assign("temp",rser); REXP ret =

Hi folks, I've attached a patch to the svn trunk that improves the performance of the serialize/unserialize interface for vector types. The current implementation: a) invokes the R_XDREncode operation for each element of the vector type, and b) uses a switch statement to determine the stream type for each element of the vector type. I've added R_XDREncodeVector/R_XDRDecodeVector functions

I don''t even know if this is possible. I want to use an object as an attribute for one of my classes. I can save it to the db fine, looks like...but I need to be able to use it after I pull the object from the db. Right now the attribute is just a String, but I need it to be a Runt::Intersect object. Does anyone know how I can unserialize the attribute so I can use it as an object?

I noticed today that in R 2.3.1, I get > serialize(list(1,2,3), NULL, ascii = TRUE) [1] "A\n2\n131841\n131840\n19\n3\n14\n1\n1\n14\n1\n2\n14\n1\n3\n" > but in R 2.4.0 alpha I get > serialize(list(1,2,3), NULL, ascii = TRUE) [1] 41 0a 32 0a 31 33 32 30 39 36 0a 31 33 31 38 34 30 0a 31 39 0a 33 0a 31 34 [26] 0a 31 0a 31 0a 31 34 0a 31 0a 32 0a 31 34 0a 31 0a 33 0a >

Dear grid expeRts, I would like to create a layout with grid that looks like the following, but with cells (1,1), (1,4), (4,1), and (4,4) removed and cells (2,1) and (3,1) (and (4,2) and (4,3)) combined to one cell (so that contents can easily be centered. How can this be achieved? require(grid) gl <- grid.layout(4, 4, widths=unit(c(1, 3, 3, 1), "cm"),

Dear all I would like to have some data in the form of a 2-dimensional array (matrix) of lists, so that I can easily find the desired list object by indexing the structure by rows and columns. In matlab there exists a data type called "cell array": a matrix of "cells", which are composite objects very similar to R lists. I know that in R you can create 1-dimensional

Hi Zach (or anyone else who may have a clue), I'm currently investigating making use of LLVM for PDB parsing for with a view to supporting partial PDBs as produced by /DEBUG:FASTLINK as the VS DIA SDK hasn't been updated to handle them. I know this is probably low on your priority list but since /DEBUG:FASTLINK is now the implied default for VS2017 I figure it's a good time to take a

So I''ve got an ActiveRecord model pointing to a MySQL db, with an auto-serialized column ("serialize :columnName"). Thing is, MySQL, depending on how it''s configured (like, by default), has a bad habit of just truncating your data if it''s too wide for the column, with no error raised. Yeah, I can probably reconfigure MySQL and/or my AR connection to it. But

Hi all, I'm trying to get the min and max of a sequence of number using a loop like the folllowing. Can anyone point me to why it doesn't work. Thanks. type <- c("min","max") n <- 1:10 for (a in 1:2) { print(type[a](n)) } -- Muhammad

I have a database field called dates in which I am trying to serialize an array of DateTime objects. When I unserialize them, they are coming back in as Time objects. I know this, because I am getting errors that say "comparison between Time and DateTime failed. Why is this happening? Is there a way to prevent it?? Thanks Shelby -------------- next part -------------- An HTML attachment

foo <- rnorm(30*34*12) dim(foo) <- c(30, 34, 12) I want to make a data.frame out of this three-dimensional array. Each dimension will be a variabel (column) in the data.frame. I know how this can be done in a very slow way using for loops, like this: x <- rep(seq(from = 1, to = 30), 34) y <- as.vector(sapply(1:34, function(x) {rep(x, 30)})) month <- as.vector(sapply(1:12,

Dear R users, I am currently writing a MCMC algorithm for spatial Poisson model. One problem which I need to solve is as follows: I have a vector X[1:J] which describes characteristics of cells of a rectangular grid. Further, for each cell I have a list of adjascent cells adj[] and the vector listing numbed of adjascent cells num[]. Thus if I want to list cells adjascent to cell i I write

Dear Members of Xapian Project, Sorry for troubling you this time. It can be witnessed that xapian will store Document values with serialization approach when given value types meet float/double. Such an approach is deployed on sort_key related fields as well, where the xapian requires KeyMaker::operator() must return an serialized float/dobule variable. Then heap sort comes and ranks