search for: unserialize

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 serialization is done with version=2 or...

I see this on MacOS as well, so likely not platform dependent. A little more diddling to try to narrow it down: > unserialize(serialize(as.raw(1), NULL, version=2, ascii=TRUE)) [1] 30 > unserialize(serialize(list(as.raw(1)), NULL, version=2, ascii=TRUE)) [[1]] [1] 30 > unserialize(serialize(list(raw=as.raw(1)), NULL, version=2, ascii=TRUE)) Error in unserialize(serialize(list(raw = as.raw(1)), NULL, version = 2, :...

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 haven't f...

...vector on the worker clusterEvalQ(cl, x) stopCluster(cl) ``` you can find more info on the problem if you manually build a connection between two R processes and export the ALTREP object. See output below ``` > con <- socketConnection(port = 1234,server = FALSE) > gctorture() > x <- unserialize(con) Warning message: In unserialize(con) : cannot unserialize ALTVEC object of class 'mmap_real' from package 'simplemmap'; returning length zero vector ``` It seems like simplemmap did not get loaded correctly on the worker. If you run `library( simplemmap)` before unserializin...

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)) parallel::mccollect(f) # Error in unserialize(r) : unknown input format I can reproduce this on Linux using R 3.5.0 al...

...` > > you can find more info on the problem if you manually build a connection > between two R processes and export the ALTREP object. See output below > ``` >> con <- socketConnection(port = 1234,server = FALSE) >> gctorture() >> x <- unserialize(con) > Warning message: > In unserialize(con) : > cannot unserialize ALTVEC object of class 'mmap_real' from package > 'simplemmap'; returning length zero vector > ``` > It seems like simplemmap did not get loaded correctly on the worker....

...> stopCluster(cl) > ``` > > you can find more info on the problem if you manually build a connection > between two R processes and export the ALTREP object. See output below > ``` >> con <- socketConnection(port = 1234,server = FALSE) >> gctorture() >> x <- unserialize(con) > Warning message: > In unserialize(con) : > cannot unserialize ALTVEC object of class 'mmap_real' from package > 'simplemmap'; returning length zero vector > ``` > It seems like simplemmap did not get loaded correctly on the worker. If > you run `library...

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 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 that accept...

...you can find more info on the problem if you manually build a connection > > between two R processes and export the ALTREP object. See output below > > ``` > >> con <- socketConnection(port = 1234,server = FALSE) > >> gctorture() > >> x <- unserialize(con) > > Warning message: > > In unserialize(con) : > > cannot unserialize ALTVEC object of class 'mmap_real' from package > > 'simplemmap'; returning length zero vector > > ``` > > It seems like simplemmap did not get loaded c...

...t;simID" INT, "data" TEXT DEFAULT NULL)') dbSendQuery(db, paste("INSERT INTO frames VALUES(1, '", data.raw, "')", sep = "")) data.bin2 <- dbGetQuery(db, "SELECT data FROM frames WHERE simID = 1") Nice, that worked. Now I want to unserialize the data: unserialize(data.bin2) Error in unserialize(data.bin2) : 'connection' must be a connection unserialize(data.bin2[1, 'data']) Error in unserialize(data.bin2[1, "data"]) : character vectors are no longer accepted by unserialize() I feel a little stuck here, bu...

...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?

...runcated) 2) ser = serialize(obj, NULL) dbSendQuery(link, paste("insert into table values(1, '",ser,"')",sep='')) The field to save the object in the MySQL Database is of type blob. result = dbGetQuery(link,"select * from table where id=1") unser = unserialize(result[1,"object_column"], NULL) Error in unserialize(result[1, "object_column"], NULL) : unknown input format In addition: Warning message: In unserialize(result[1, "object_column"], NULL) : unserialize()from a character string is deprecated and will be withdrawn...

Are the functions 'R_Unserialize' and 'R_InitFileInPStream' allowed to be used in R packages? I guess I'm just not clear on the implications of this comment in 'Rinternals.h': /* The connection interface is not yet available to packages. To allow limited use of connection pointers this defines the opa...

...load several ones to apply some functions that requires to have all my arrays values for each cell... To make it possible, I would like to load only a part (for example 100 cells) of all my arrays, apply my function, delete all cells loaded, loaded following cells and so on. Is it possible to unserialize (or load) only a defined part of an R array ? Do you know some tools that might help me? Finally, I did lot of research to find the way array (and all other R object) are serialized into binary object, but I found nothing explaining really algorithms involved. If someone has some information on...

...iel, thanks for the test case. I did run it in valgrind but nothing showed up, however ... I'm starting to have a suspicion that this has something to do with identical() - look at this: > identical(M1,M2) [1] FALSE > all(serialize(M1,NULL)==serialize(M2,NULL)) [1] TRUE > identical(unserialize(serialize(M1,NULL)),unserialize(serialize(M2,NULL))) [1] FALSE > identical(unserialize(serialize(M1,NULL)),unserialize(serialize(M1,NULL))) [1] FALSE So I think this may be a bug in identical() mainly because of the last one. I'll need to take identical() apart to see where it fails ... I...

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 = rconn.eval("invisible(unserialize(temp))"); (1) rexpArr.add(ret); RList rlist = new RLi...

Does anyone have a Perl or PHP Icecast2 Status Page Parser? Thanks. -greg. __________________________________________________________________________ Greg J. Ogonowski VP Product Development ORBAN / CRL, Inc. 1525 Alvarado St. San Leandro, CA 94577 USA TEL +1 510 351-3500 FAX +1 510 351-0500 greg@orban.com http://www.orban.com

Hi all, I''ve recently upgraded a rails 3.0.20 app to 4.0.0.beta1 and realize that the serialize function must have changed in between (not sure if related to json security fixes). In the MySQL database I have for the serialized column: --- id: 6695079125_10151776148744126 In rails 3 this would be parsed back as string ("6695079125_10151776148744126") while in rails 4

...:operator() must return an serialized float/dobule variable. Then heap sort comes and ranks the vector<MSetItem> items (multimatch.cc MultiMatch::get_mset()) by comparing serialized sort_keys (std::string) straightforwardly according to <IEEE-754 doubles>. Subsequently sort_keys will be unserialized when user needs to read its real float/double values during iterations of result MSet. Obviously, serialization and unserialization are time-consuming operations. Compared with defining and using sort_key as float/double type directly, it is complicated to understand benefits of such serializ...