similar to: serialization of external pointers

Hello, assignInNamespace refuses to assign an object to a name that is not already used in the namespace. Something like this would make it possible: --- src/library/utils/R/objects.R (revision 56024) +++ src/library/utils/R/objects.R (working copy) @@ -252,8 +252,9 @@ stop("environment specified is not a package") ns <- asNamespace(substring(nm, 9L))

Hello, Are there any recipe to handle serialization / deserialization of external pointers. I'm thinking about something similar in spirit to the way we handle finalization of external pointers. Currently, if we create an external pointer, save the session, quit R, then load the session, we get a null pointer. One way I'm thinking of is to have an environment in the

Dear R .Call() insiders, Can someone enlighten me how to properly finalize external pointers in C code (R-2.5.1 win)? What is the relation between R_ClearExternalPtr and the finalizer set in R_RegisterCFinalizer? I succeeded registering a finalizer that works when an R object containing an external pointer is garbage collected. However, I have some difficulties figuring out how to do that in an

Hi, sorry if this question is trivial or unclear, this is my first venture into mixed C/R programming (I am reasonably experienced in each separately). I am trying to write a serialization function for a format called typedbytes, which is used as an interchange format in Hadoop circles. Since I would need to serialize according to the internal R format many small R objects I looked at the c

Reviving an old thread. I haven't noticed this be a problem for a while when saving RDS's which is great. However, I noticed the problem again when saving `qs` files (https://github.com/traversc/qs) which is an RDS replacement with a fast serialization / compression system. I'd like to get an idea of what change was made within R to address this issue for `saveRDS`. My thought is that

Hello Apologies for cross-posting, the discussion should (if) go to R-devel, but I also want to reach the rcpp-devel people. My C++ class FOO is a module available through Rcpp, and it works fine and is -- so far -- bug free. With trying to further develop my R package, I thought it was a good idea to interface my C++ workhorse FOO with an S4 class Foo. After some long and not always insightful

Dear R devs, I was digging into a package issue today when I realized R serialize function not always generate the same results on equivalent objects when users choose to run differently. For example, the following code serialize(with(new.env(), { function(){} }), NULL, TRUE) generates different results when I copy-paste into console vs when I use ctrl+shift+enter to source the file in RStudio.

On 1/16/24 20:16, Dipterix Wang wrote: > Could you recommend any packages/functions that compute hash such that > the source references and sexpinfo_struct are ignored? Basically a > version of `serialize` that convert R objects to raw without storing > the ancillary source reference and sexpinfo. > I think most people would think of `digest` but that package uses >

Could you recommend any packages/functions that compute hash such that the source references and sexpinfo_struct are ignored? Basically a version of `serialize` that convert R objects to raw without storing the ancillary source reference and sexpinfo. I think most people would think of `digest` but that package uses `serialize` (see discussion

Hi there Thanks for your answers. I didn't expect that this would be so complex. Honestly, I don't understand everything you wrote since I'm not an IT specialist. But I read something that reading *.rds files is faster than loading *.Rdata and I wanted to proof that for my system and R version. But thanks anyway for your time. Cheers Raphael > -----Urspr?ngliche Nachricht-----

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

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

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, 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

Hi, something wrong with ActiveRecord or YAML? They don''t put Strings into Quotes when it serializes. This gave me trouble when I serialized a String with a double colon (eg. ''key: value''). After AR unserialized the Value it became a Hash since a String ''key: value'' becomes attribute[:key] => value... :( Sincerely Florian

> I think one could implement hashing on the fly without any > serialization, similarly to how identical works, but I am not aware of > any existing implementation We have one in vctrs but it's not exported: https://github.com/r-lib/vctrs/blob/main/src/hash.c The main use is vectorised hashing: ``` # Non-vectorised vctrs:::obj_hash(1:10) #> [1] 1e 77 ce 48 # Vectorised

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

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

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 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,