search for: rawconnect

I have a couple of packages (?fiery? and ?reqres') that uses a mock of a rook request for their examples. The mock is an R6 object containing a rawConnection, along with a finalizer that closes this connection when the object is removed. So far so good. I?ve recently been getting CRAN errors due to the rawConnection not being closed in examples > cleanEx() Error: connections left open: content (rawConnection) and the only way to remove this is...

I've noticed that the processing time for the default capture.output() grows exponentially in the number of characters outputted/captured. The default settings sinks to a temporary textConnection(). When instead sinking to a rawConnection(), the processing time becomes linear. See below example and attached PNG figure [also at http://xfer.aroma-project.org/tmp/20140203/capture.output_text-vs-raw.png]. I know little about text encoding, but I wouldn't be surprised I'm overseeing encoding issues when sinking to raw follow...

Here's an update of my rawConnection() implementation. In addition to providing a raw version of textConnection(), this fixes two existing issues with textConnection(): one is that the current textConnection() implementation carries around unprotected SEXP pointers, the other is a performance problem due to prolific copying of the...

On 12/11/2018 8:09 AM, Thomas Lin Pedersen wrote: > I have a couple of packages (?fiery? and ?reqres') that uses a mock of a rook request for their examples. The mock is an R6 object containing a rawConnection, along with a finalizer that closes this connection when the object is removed. So far so good. I?ve recently been getting CRAN errors due to the rawConnection not being closed in examples > >> cleanEx() > Error: connections left open: > content (rawConnection) > > and th...

...#issuecomment-562659134, writeBin() still prohibits long vectors. Are there any plans to add long vector support to R 4.0.0? x <- raw(2^31) writeBin(x, con = nullfile()) # Error in writeBin(x, con = nullfile()) : # long vectors not supported yet: connections.c:4430 x <- raw(2^31) con <- rawConnection(raw(0L), "w") writeBin(raw(2^31), con = con) # Error in writeBin(raw(2^31), con = con) : # long vectors not supported yet: connections.c:4430 Will [[alternative HTML version deleted]]

...#39;? Suggestions: As a first step, it would be great if tools::md5sum would support connections (credit goes to Henrik for the idea). E.g., instead of the signature tools::md5sum(files), we could have tools::md5sum(files, conn = NULL), which would allow: x <- runif(10) tools::md5sum(conn = rawConnection(serialize(x, NULL))) To avoid the inconsistency between 'files' (which computes the hash digests in a vectorized manner, that is, one for each file) and 'conn' (which expects a single connection), and to make it easier to extend the hashing for other algorithms without changi...

Dear ?useRs, Rook version 1.0-3 has been submitted to CRAN. In the mean time you can get it here: https://github.com/jeffreyhorner/rRack/blob/master/Rook_1.0-3.tar.gz The latest release contains support for deployment with rApache. Please see 3.6.5 and 3.6.6 under section 'Configuring rApache' in the manual: http://www.rapache.net/manual.html#Configuring_rapache What is Rook? A

Dear ?useRs, Rook version 1.0-3 has been submitted to CRAN. In the mean time you can get it here: https://github.com/jeffreyhorner/rRack/blob/master/Rook_1.0-3.tar.gz The latest release contains support for deployment with rApache. Please see 3.6.5 and 3.6.6 under section 'Configuring rApache' in the manual: http://www.rapache.net/manual.html#Configuring_rapache What is Rook? A

...Will, for the reminder! Martin Maechler ETH Zurich and R Core Team > x <- raw(2^31) > writeBin(x, con = nullfile()) > # Error in writeBin(x, con = nullfile()) : > # long vectors not supported yet: connections.c:4430 > x <- raw(2^31) > con <- rawConnection(raw(0L), "w") > writeBin(raw(2^31), con = con) > # Error in writeBin(raw(2^31), con = con) : > # long vectors not supported yet: connections.c:4430 > Will > [[alternative HTML version deleted]] > ___________________________________________...

...e data to a file > file_path <- tempfile() > writeBin(data, file_path) > ## Read the data using `gzfile` > con1 <- gzfile(file_path) > str(readLines(con1, 1000)) > ## Read the data using `gzcon` > ## We create a raw connection from the raw vector > con2 <- gzcon(rawConnection(data)) > str(readLines(con2, 1000)) output: > > str(readLines(con1, 1000)) > chr [1:1000] "##fileformat=VCFv4.2" "##hailversion=0.2.24-9cd88d97bedd" > ... > > str(readLines(con2, 1000)) > chr [1:884] "##fileformat=VCFv4.2" "##hailve...

...of data types and didn't implement byte swapping). [aside: Rinternals.h does not export RAW() for packages] I first thought there might be a way to do this via connections but didn't want to actually read and write files just to map between data types. One option would be to implement a rawConnection() analog of the current textConnection(), which would associate raw vectors with binary connections, and allow readBin()/writeBin(). Looking at the text connection code, it seems to me that it could be extended to handle this fairly easily. For input connections, it appears that all that needs...

...rst step, it would be great if tools::md5sum would support > connections (credit goes to Henrik for the idea). E.g., instead of the > signature tools::md5sum(files), we could have tools::md5sum(files, conn > = NULL), which would allow: > > x <- runif(10) > tools::md5sum(conn = rawConnection(serialize(x, NULL))) > > To avoid the inconsistency between 'files' (which computes the hash > digests in a vectorized manner, that is, one for each file) and 'conn' > (which expects a single connection), and to make it easier to extend the > hashing for other alg...

...s: > As a first step, it would be great if tools::md5sum would support connections (credit goes to Henrik for the idea). E.g., instead of the signature tools::md5sum(files), we could have tools::md5sum(files, conn = NULL), which would allow: > > x <- runif(10) > tools::md5sum(conn = rawConnection(serialize(x, NULL))) > > To avoid the inconsistency between 'files' (which computes the hash digests in a vectorized manner, that is, one for each file) and 'conn' (which expects a single connection), and to make it easier to extend the hashing for other algorithms without...

I need to write the output of a R plot to a Java OutputStream. It looks like R insists on sending it's output to a file. Is there anyway to get bytes directly from the output of a plot so I can write it with Java? Writing it to a file is too slow. Is there a parameter in the graphics device function png(..) that directs output to a variable in memory? x <- plot(.) would make sense. --

...better. Reported by Robert and confirmed by Nic Rochette in PR#16953. * canCoerce(obj, cl) no longer assumes length(class(obj)) == 1. * plot.formula(*, subset = *) now also works in a boundary case reported by Robert Schlicht (TU Dresden). * readBin() and writeBin() of a rawConnection() now also work in large cases, thanks to a report and proposal by Taeke Harkema in PR#17665. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd.mes at cbs.dk P...

...better. Reported by Robert and confirmed by Nic Rochette in PR#16953. * canCoerce(obj, cl) no longer assumes length(class(obj)) == 1. * plot.formula(*, subset = *) now also works in a boundary case reported by Robert Schlicht (TU Dresden). * readBin() and writeBin() of a rawConnection() now also work in large cases, thanks to a report and proposal by Taeke Harkema in PR#17665. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd.mes at cbs.dk P...

...better. Reported by Robert and confirmed by Nic Rochette in PR#16953. * canCoerce(obj, cl) no longer assumes length(class(obj)) == 1. * plot.formula(*, subset = *) now also works in a boundary case reported by Robert Schlicht (TU Dresden). * readBin() and writeBin() of a rawConnection() now also work in large cases, thanks to a report and proposal by Taeke Harkema in PR#17665. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd.mes at cbs.dk P...

...t if tools::md5sum would support >> connections (credit goes to Henrik for the idea). E.g., instead of the >> signature tools::md5sum(files), we could have tools::md5sum(files, >> conn = NULL), which would allow: >> >> x <- runif(10) >> tools::md5sum(conn = rawConnection(serialize(x, NULL))) >> >> To avoid the inconsistency between 'files' (which computes the hash >> digests in a vectorized manner, that is, one for each file) and 'conn' >> (which expects a single connection), and to make it easier to extend >> the...

...nd confirmed by Nic Rochette in PR#16953. > > * canCoerce(obj, cl) no longer assumes length(class(obj)) == 1. > > * plot.formula(*, subset = *) now also works in a boundary case > reported by Robert Schlicht (TU Dresden). > > * readBin() and writeBin() of a rawConnection() now also work in > large cases, thanks to a report and proposal by Taeke Harkema in > PR#17665. > > -- > Peter Dalgaard, Professor, > Center for Statistics, Copenhagen Business School > Solbjerg Plads 3, 2000 Frederiksberg, Denmark > Phone: (+45)38153501 &...

Dear all, I am trying to benchmark code that occasionally prints on the screen and I want to suppress the printing. Is there an idiom for this? If I do sink(tempfile) microbenchmark(...) sink() then I'll be also measuring the costs of writing to tempfile. I could also sink to /dev/null, which is probably fast, but that is not portable. Is there a better solution? Is writing to a