similar to: passing character vectors to FORTRAN

libswfdec/swfdec_as_interpret.c | 51 + test/trace/Makefile.am | 16 test/trace/chartoascii-4.swf |binary test/trace/chartoascii-4.swf.trace | 7 test/trace/chartoascii-5.swf |binary test/trace/chartoascii-5.swf.trace | 1011 ++++++++++++++++++++++++++++++++++++ test/trace/chartoascii-6.swf |binary test/trace/chartoascii-6.swf.trace | 1008

I have installed the chron library, but it does not seem to work: > chron("04/06/98") Error in .C(NAME = "to_lower", strings = as.character(str), nstrings = as.integer(n)) : C/Fortran function not in load table > chron(17894) Error in .C(NAME = "to_lower", strings = as.character(str), nstrings = as.integer(n)) : C/Fortran function not in load table > I am

Hello, I am trying to read in elements out of a very large binary file ... the total file is 4 gigs. I want to select rows out of the file, and the current procedure I run works but is prohibitively slow (takes more than a day to run and still won't complete). Is there any faster way to accomplish this? My current procedure looks like this: readHH <- function(file_name,

Hi, Here's a patch to the readChar manual page (R-trunk as of today) that better clarifies readChar's return value. It could use some work as I'd also like to add some text about using nchar() to find the length of the string that readchar() returns, but I'm unsure which of type="bytes" or type="chars" to mention. Is it type="chars"? Index:

My opinion is that the proposed feature would be greatly appreciated by users. I had always wondered if I was the only one doing paste(readLines(f), collapse="\n") all the time. It would be great to have the proposed, more straightforward way to read the whole file as a string: readChar("my_file.txt", -1) or even better readChar("my_file.txt") Thanks for your detailed

I am curious why readLines() has a default (n=-1L) to read the full file while readChar() has no default for nchars= (i.e., readChar(file) is an error). Is there a technical reason for this? I often[1] see code like paste(readLines(f), collapse="\n") which would be better served by readChar(), especially given issues with the global string cache I've come across[2]. But lacking the

On 05/26/2018 05:15 AM, Aaron Goodman wrote: > I noticed an issue where readChar does not return the correct value after a > call to readline. It appears that readChar is not aware of the buffering, > so it reads from the end of the buffer, rather than the current position in > the file. This is a significant change of behavior from R-3.4.4. > > Below is a test case that I used

On Fri, 26 Jan 2024, Michael Chirico wrote: > I am curious why readLines() has a default (n=-1L) to read the full > file while readChar() has no default for nchars= (i.e., readChar(file) > is an error). Is there a technical reason for this? > > I often[1] see code like paste(readLines(f), collapse="\n") which > would be better served by readChar(), especially given

Tomas, Thank you for the explanation. I see in the documentation: "These functions are intended to be used with binary-mode connections." So I see how using it on a text connection is undefined, and not a bug. An error or warning when attempting to use a it on a text connection would be helpful considering how the behavior has changed in R-3.5. On Tue, May 29, 2018 at 3:09 AM, Tomas

I noticed an issue where readChar does not return the correct value after a call to readline. It appears that readChar is not aware of the buffering, so it reads from the end of the buffer, rather than the current position in the file. This is a significant change of behavior from R-3.4.4. Below is a test case that I used to home in on the problem. --- p<-"test2.txt"

I have R code to read a binary header file, consisting of several readBin() and readChar() statements. I am currently using version R-2.2.1 (on x86_64, RH EL4) and have received the following error Error in readChar(fid, n = 1) : invalid UTF-8 input in readChar() This is strange because (a) I was able to read in this file successfully in previous versions of R (circa 2005) and (b) it

Hi all, Since I was having several problems trying to work with a large matrix I started to use the package R.huge but I'm having the following problem > x<-FileByteMatrix("covtype.data",nrow=581012,ncol=55) Error: cannot allocate vector of size 770.8 Mb In addition: Warning messages: 1: Reached total allocation of 447Mb: see help(memory.size) in: readChar(con = con, nchar =

Hi, I was trying to have R read files faster with readChar(). That was before I noticed that readChar() is not that bad! In any case, below I suggest a few simple changes that will make readChar slightly faster. I followed readChar(useBytes=T), and tried to identify all O(N) operations, where N is the size of the file. The assumption is that for LARGE files we want to avoid any O(N) operations,

Full_Name: Hugh C. Pumphrey Version: 1.4.1 OS: Linux (Debian Woody) Submission from: (NULL) (129.215.133.170) The function readChar() appears to have some type of problem with memory allocation. I don't know if "memory leak" is the correct term but if one uses readChar() many times, the R binary grows in size until it eats all your memory and swap space. The code enclosed below

I've now tested with: > R.version.string [1] "R Under development (unstable) (2024-02-16 r85931)" and all of the previously mentioned examples now work as expected on macOS. Thanks for the quick fix, Jenny On Thu, Feb 15, 2024 at 8:02?AM Tomas Kalibera <tomas.kalibera at gmail.com> wrote: > > On 2/14/24 23:43, Jennifer Bryan wrote: > > Hello, > > >

Hi, I am trying to implement messaging protocol that doesn't pre-specify the length of the message in the message header. In other words, I don't know in advance when I will reach the end of the message. I wrote C level parser for strings but when it came to reading from connections I got stuck. API in Connections.h doesn't provide a pointer to an existing connection and there seems

Dear list, I am trying to find a fast solution to read moderately large (1 -- 10 million entries) text files containing only tab-delimited numeric values. My test file is the following, nr <- 1000 nc <- 5000 m <- matrix(round(rnorm(nr*nc),3),nr=nr) write.table(m, file = "a.txt", append=FALSE, row.names = FALSE, col.names = FALSE) scan() is faster than

Hi R gurus, I'm trying to use a ReSTful web service from within R. Specifically, I need to make HTTP PUT requests. I'm able to make the request and that goes well enough, but I'm having trouble properly consuming the HTTP response. The problem comes in when I'm trying to parse out the response body. I get the length of the response body from the Content-Length header. I then try

Hello, I've noticed a specific type of pipe() usage that works in released R, but not in r-devel. In 4.3.2 on macOS, I can write to a connection returned by pipe(), i.e. "hello, world" prints here: > R.version.string [1] "R version 4.3.2 (2023-10-31)" > con <- pipe("cat") > writeLines("hello, world", con) hello, world But in r-devel on

Hi, I'm trying to read a file containing html markup (discussion board posts) and output the various parts of each post to an field in a record in an output file (date, author, title, body). This is a one-off job and I'm trying to use R to do it. The file looks something like this: <br><ul>Created: --- - Dr. Johnsons's article - concerns<br><p>After