similar to: Extra warnings now in 2.6.2

I have users running rsync 3.0.6 on Mac OS 10.5 and 10.6 with the following arguments (for example): rsync -aNHAXx --fileflags --force-change --no-inc-recursive --delete-during --filter="P _Archive*" --filter="P /*" --backup --backup-dir="_Archive_2010_March_07_22-27-43" / /Volumes/Backup I can't seem to figure out how make_bak_dir could be returning this error

Has anyone seen this yet? I am having a problem with the my WINS entry for my Samba server disappearing from the WINS database. After this takes place I am no longer able to access my Samba server so I am forced to restart NMBD and a new entry is placed in the WINS database. Although over time this entry will vanish again and I have to repeat the restart process. I am aware that I can add a

here (in keep_backup())? --- backup.c.orig Mon Dec 9 17:02:36 2002 +++ backup.c Mon Dec 9 17:03:50 2002 @@ -273,6 +273,7 @@ /* move to keep tree if a file */ if(!kept) { + make_bak_dir(fname,backup_dir); if (!robust_move (fname, keep_name)) rprintf(FERROR, "keep_backup failed %s -> %s : %s\n", fname, keep_name, strerror(errno)); this reconstructs parent

Yesterday I upgraded rsync from 2.6.9 to 3.0.2 (as part of upgrading Fedora 8 to Fedora 9). Today, I received these unexpected errors: rsync: make_bak_dir mkdir "/backup/server/../server-before-5/var" failed: File exists (17) rsync: keep_backup failed: "/backup/server/var/lib/rpcbind/rpcbind.file" -> "../server-before-5/var/lib/rpcbind/rpcbind.file": Success (0)

Hello, I use rsync for incrmental backups in the following way: rsync \ $EXCLUDE \ -e ssh \ --archive \ --numeric-ids \ --compress \ --relative \ --one-file-system \ --cvs-exclude \ --delete \ --delete-excluded \ --bwlimit=0 \ --backup \ --suffix='' \ --backup-dir=$BACKUP_ROOT/$BACKUP_HOST/${TODAY} \ $BACKUP_HOST_AND_PATH

Rare and intermittent message groups suggest a race condition ... ? Here's the pattern of messages: rsync: make_bak_dir mkdir <path> failed: File exists (17) rsync: keep_backup failed: <path> -> <path>: No such file or directory (2) rsync: stat <path> failed: No such file or directory (2) How rarely? We run a scripted rsync daily on ~50 personal computers and

All callers of robust_rename() call copy_file() if EXDEV is received. This patch moves the copy_file() call into robust_rename(). Patch Summary: -12 +1 backup.c -15 +2 rsync.c -9 +33 util.c -------------- next part -------------- patchwork diff util.c --- util.c 2004-02-17 09:58:44.000000000 -0500 +++ util.c 2004-02-17 10:21:22.000000000 -0500 @@ -355,16 +355,40 @@

Hello, I'm new to this and am trying to modify the "backup to a central backup server with 7 day incremental" script from http://samba.anu.edu.au/rsync/examples.html to suit my situation. I have ended up with the script attached below and when running it from command line I get these errors: rsync error: syntax or usage error (code 1) at main.c(726) and a plethora of this >

Hi, If you are not already tired of so many io controller implementations, here is another one. This is a very eary very crude implementation to get early feedback to see if this approach makes any sense or not. This controller is a proportional weight IO controller primarily based on/inspired by dm-ioband. One of the things I personally found little odd about dm-ioband was need of a dm-ioband

Hi, If you are not already tired of so many io controller implementations, here is another one. This is a very eary very crude implementation to get early feedback to see if this approach makes any sense or not. This controller is a proportional weight IO controller primarily based on/inspired by dm-ioband. One of the things I personally found little odd about dm-ioband was need of a dm-ioband

Dear All, I am finding trouble trying to guild a Wrapper using random forest to evaluate the subsets: I do: nombi <- make_Weka_filter("weka/filters/supervised/attribute/AttributeSelection") datbin<- nombi(gene ~., data=X1X2X4X5W, control =Weka_control( S=list("weka.attributeSelection.GeneticSearch"), E=list("weka.attributeSelection.WrapperSubsetEval"),B

Hello all, I am attempting to run an R script that makes use of RWeka. I am running SuSE Linux 9.3 with Java 1.5.0_06, R version 2.2.1, Weka 3-4-7, and Rweka 0.2-1. CLASSPATH="/usr/local/weka-3-4-7/weka.jar:/usr/local/JGR/JGR.jar" I receive the error: NewObject("weka/core/Instances","(Ljava/io/Reader;)V",...) failed Exception in thread "main"

Le jeudi 09 f?vrier 2012 ? 15:31 +0200, Kari Ruohonen a ?crit : > Hi, > I am trying to replicate a training of AttributeSelectedClassifier with > CFsSubsetEval, BestFirst and NaiveBayes that I have initially done with > Weka. Now, I am trying to use RWeka in R. > > I have a problem of passing arguments to the CfsSubsetEval, BestFirst > and NaiveBayes. I have first created an

Dear All, I'd like to use Weka functions that are not implemented (do not have interface) in RWeka, like the Remove function and others in the future! The .java() functionality is for that purpose but I haven't seen any example with Weka functions. Could anyone give me hand in how to do it? For instace if I want to use the weka.filters.unsupervised.attribute.Remove? 1. in the R console,

-----Original Message----- From: Patrick Connolly Sent: Friday, 9 November 2012 11:29 a.m. To: Peter Alspach Subject: Interfacing R and Weka > version _ platform x86_64-unknown-linux-gnu arch x86_64 os linux-gnu system x86_64, linux-gnu status major 2 minor 15.2 year 2012 month 10 day 26 svn rev

Hello, I have some trouble in achieving the desired parametrisation for the weka classifier functions, using the package RWeka. The problem is, that the functions result=classifier(formula, data, subset, na.action, control = Weka_control(mycontrol)) do not seem to be manipulated by the mycontrol- arguments Perhaps this should be resepected via the handlers- argument , but the

In the past there have been discussions about adding a switch to rsync to preserve the atime on files being copied by rsync. I needed this function for a project I'm working on and decided to invent it. I've attached the diffs. Note that this has the limitations describe in previous emails, namely that preserving atime causes ctime to not be preserved. *** Patch follows *** ***

Running Weka's command line with calls to system(), like this > system("java weka.classifiers.bayes.NaiveBayes -K -t HWlrTrain.arff -o") === Confusion Matrix === a b <-- classified as 3518 597 | a = NoSpray 644 926 | b = Spray === Stratified cross-validation === === Confusion Matrix === a b <-- classified as 3512 603 | a = NoSpray

Hi everyone, I have trouble to use RWeka, I tried: (w=weather dataset, all preditors are nominal) > m<-J48(play~., data=w) > e<-evaluate_Weka_classifier(m,cost = matrix(c(0,2,1,0), + ncol = 2),numFolds = 10, complexity = TRUE,seed = 123, + class = TRUE) it gives me exactly what I want, but when I tried the same classifier on the other published data: (iris dataset has all numeric

Dear List, I´m trying to implement the functionalities from WEKA into my modeling project in R through the RWeka package. In this context I have a slightly special question about the filters implemented in WEKA. I want to convert nominal attributes with k values into k binary attributes through the NominalToBinary filter ("weka.filters.supervised.attribute.NominalToBinary"). But