search for: nnode

Displaying 20 results from an estimated 24 matches for "nnode".

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2015 Oct 19
2
"failed to connect to the hypervisor"
...socket, or bad cert, or whatever). But that's not the case, here. And what puzzles me more is that -- while I don't know what the output *should* look like -- to my eye, strace seems to say that we're getting information back: 1940 read(5, "Node 1 MemTotal: 33011680 kB\nNode 1 MemFree: 32565612 kB\nNode 1 MemUsed: 446068 kB\nNode 1 Active: 57948 kB\nNode 1 Inactive: 77036 kB\nNode 1 Active(anon): 27688 kB\nNode 1 Inactive(anon): 84 kB\nNode 1 Active(file): 30260 kB\nNode 1 Inactive(file): 76952 kB\nNode 1 U...
2015 Oct 20
2
Re: "failed to connect to the hypervisor"
...at's not the case, here. And what >> puzzles me more is that -- while I don't know what the output *should* >> look like -- to my eye, strace seems to say that we're getting >> information back: >> >> 1940 read(5, "Node 1 MemTotal: 33011680 kB\nNode 1 MemFree: >> 32565612 kB\nNode 1 MemUsed: 446068 kB\nNode 1 Active: >> 57948 kB\nNode 1 Inactive: 77036 kB\nNode 1 Active(anon): >> 27688 kB\nNode 1 Inactive(anon): 84 kB\nNode 1 Active(file): >> 30260 kB\nNode 1 Inactive(file): 76952 kB\nNode 1 U...
2015 Oct 20
0
Re: "failed to connect to the hypervisor"
...rt, or whatever). But that's not the case, here. And what >puzzles me more is that -- while I don't know what the output *should* >look like -- to my eye, strace seems to say that we're getting >information back: > >1940 read(5, "Node 1 MemTotal: 33011680 kB\nNode 1 MemFree: >32565612 kB\nNode 1 MemUsed: 446068 kB\nNode 1 Active: >57948 kB\nNode 1 Inactive: 77036 kB\nNode 1 Active(anon): >27688 kB\nNode 1 Inactive(anon): 84 kB\nNode 1 Active(file): >30260 kB\nNode 1 Inactive(file): 76952 kB\nNode 1 Unevictable: >52 k...
2015 Oct 21
0
Re: "failed to connect to the hypervisor"
...e case, here. And what >>>puzzles me more is that -- while I don't know what the output *should* >>>look like -- to my eye, strace seems to say that we're getting >>>information back: >>> >>>1940 read(5, "Node 1 MemTotal: 33011680 kB\nNode 1 MemFree: >>>32565612 kB\nNode 1 MemUsed: 446068 kB\nNode 1 Active: >>>57948 kB\nNode 1 Inactive: 77036 kB\nNode 1 Active(anon): >>>27688 kB\nNode 1 Inactive(anon): 84 kB\nNode 1 Active(file): >>>30260 kB\nNode 1 Inactive(file): 76952...
2012 Oct 04
3
[PATCH] btrfs ulist use rbtree instead
...f_node->val, diff --git a/fs/btrfs/qgroup.c b/fs/btrfs/qgroup.c index b650155..a0aad87 100644 --- a/fs/btrfs/qgroup.c +++ b/fs/btrfs/qgroup.c @@ -1133,7 +1133,7 @@ int btrfs_qgroup_account_ref(struct btrfs_trans_handle *trans, seq = fs_info->qgroup_seq; fs_info->qgroup_seq += roots->nnodes + 1; /* max refcnt */ - ULIST_ITER_INIT(&uiter); + ULIST_ITER_INIT(roots, &uiter); while ((unode = ulist_next(roots, &uiter))) { struct ulist_node *tmp_unode; struct ulist_iterator tmp_uiter; @@ -1146,7 +1146,7 @@ int btrfs_qgroup_account_ref(struct btrfs_trans_handle *trans,...
2011 Feb 03
1
problem with parLapply from snow
...in checkForRemoteErrors(val) : 2 nodes produced errors; first error: no applicable method for 'lapply' applied to an object of class "list" ". Where this is the problem line of code "yusum <- parLapply(cl, yu, sum)" The function is CallSnow <- function (Nnodes = 2, Nsamples = Nnodes) { require(Rmpi) require(snow) cat("Using snow package, asking for ", Nnodes, "nodes \n") cl <- makeCluster(Nnodes, type="MPI") on.exit(stopCluster(cl)) #print(do.call("rbind", clusterCall(cl, function(cl) Sys.info()["...
2012 Feb 04
1
combining data structures
Group It's unlikely I'm trying this the best way, but I'm trying to create a data structure from elements like nNode = 2 nn = vector("list",nNode) nn[[1]] = list(Node = "1", Connect.up = c(NULL), Connect.down = c(2,3)) nn[[2]] = list(Node = "2", Connect.up = c(1), Connect.down = c(4,5)) .... #( and eventually many more nodes) NodeList = as.data.frame(nn[[1]]) for(i in 2:nNode) {...
2007 Feb 15
2
Does rpart package have some requirements on the original data set?
Hi, I am currently studying Decision Trees by using rpart package in R. I artificially created a data set which includes the dependant variable (y) and a few independent variables (x1, x2...). The dependant variable y only comprises 0 and 1. 90% of y are 1 and 10% of y are 0. When I apply rpart to it, there is no splitting at all. I am wondering whether this is because of the
2012 May 07
0
R CMD check, interfacing c++ linking errors
...{ SEXP memberssxp = VECTOR_ELT(bootClusters,i); int l = LENGTH(memberssxp); int* members = INTEGER(memberssxp); //bootstraps[i] = new int[l]; for(int j = 0; j<l;++j) { bootstraps[i][j] = members[j]; //Rprintf("id: %d\n",members[j]); } } double confnew = REAL(conf)[0]; int Nnode = LENGTH(VECTOR_ELT(bootClusters,0)); MTRand *R = new MTRand(long(443)); // Set random seed vector<bool> significantVec = vector<bool>(Nnode); findConfCore(treeMap,bootstraps,significantVec,confnew,R); vector<pair<int,int> > mergers; findConfModules(treeMap,boots...
2012 May 08
0
R CMD check, c++ source linking errors
...) { SEXP memberssxp = VECTOR_ELT(bootClusters,i); int l = LENGTH(memberssxp); int* members = INTEGER(memberssxp); //bootstraps[i] = new int[l]; for(int j = 0; j<l;++j) { bootstraps[i][j] = members[j]; //Rprintf("id: %d\n",members[j]); } } double confnew = REAL(conf)[0]; int Nnode = LENGTH(VECTOR_ELT(bootClusters,0)); MTRand *R = new MTRand(long(443)); // Set random seed vector<bool> significantVec = vector<bool>(Nnode); findConfCore(treeMap,bootstraps,significantVec,confnew,R); vector<pair<int,int> > mergers; findConfModules(treeMap,boots...
2012 May 08
1
R CMD check linking errors, when interfacing c++
...) { SEXP memberssxp = VECTOR_ELT(bootClusters,i); int l = LENGTH(memberssxp); int* members = INTEGER(memberssxp); //bootstraps[i] = new int[l]; for(int j = 0; j<l;++j) { bootstraps[i][j] = members[j]; //Rprintf("id: %d\n",members[j]); } } double confnew = REAL(conf)[0]; int Nnode = LENGTH(VECTOR_ELT(bootClusters,0)); MTRand *R = new MTRand(long(443)); // Set random seed vector<bool> significantVec = vector<bool>(Nnode); findConfCore(treeMap,bootstraps,significantVec,confnew,R); vector<pair<int,int> > mergers; findConfModules(treeMap,boots...
2009 Jan 02
0
Parallel computing with snow
I've been using parApply() in snow package for parallel computing with the following lines in R 2.8.1: library(snow) nNodes <- 4 cl <- makeCluster(nNodes, type = "SOCK") fm <- parApply(cl, myData, c(1,2), func1, ...) Since I have a Mac OS X (version 10.4.11) with two dual-core processors, I thought that I could run 4 simultaneous clusters. However with the 1st job it seems only two clusters (362...
2018 Jan 16
0
Help
Hi I try ? Iramuteq ? and when I?ll like ? methode reinert ? I have this message Erreur R Loading required package: Matrix There were 50 or more warnings (use warnings() to see the first 50) There were 50 or more warnings (use warnings() to see the first 50) Error in Ntip + Nnode : non-numeric argument to binary operator Calls: plot.dendropr -> plot.phylo Execution halted 1 None Loading required package: Matrix There were 50 or more warnings (use warnings() to see the first 50) There were 50 or more warnings (use warnings() to see the first 50) Error in Ntip + Nnode : no...
2002 Apr 25
1
understanding and resolving seg faults
...double **dsplit, Sint **isplit, Sint **csplit, double **dnode, Sint **inode, double **deltaI, int id) rpmatrix is called by "s_to_rp.c" where ddeltaI is a pointer from an ALLOC call: void s_to_rp2(Sint *n, Sint *nsplit, Sint *nnode, Sint *ncat, Sint *numcat, Sint *maxcat, Sint *xvals, Sint *which, double *cptable, double *dsplit, Sint *isplit, Sint *csplit, double *dnode, double *deltaI, Sint *inode) double **ddeltaI; /* declaration of ddeltaI */ d...
2010 Jun 02
1
compute the associate vector of distances between leaves in a binary non-rooted tree
...[,1] [,2] [1,] 6 7 [2,] 7 1 [3,] 7 8 [4,] 8 2 [5,] 8 3 [6,] 6 4 [7,] 6 5 $tip.label [1] "t4" "t3" "t2" "t1" "t5" $edge.length [1] 0.9126727 0.2765674 0.4996832 0.7904400 0.8508797 0.8174133 0.9027958 $Nnode [1] 3 My question is: how to compute the vector of distances between the 5 leaves. This vector is in this case: v=(d(t1,t2),d(t1,t3),d(t1,t4),d(t1,t5),d(t2,t3),d(t2,t4),d(t2,t5),d(t3,t4),d(t3,t5),d(t4,t5))=(4,4,3,2,2,3,4,3,4,3). Thanks in advance, Arnau. ---------------------------------------...
2004 Jun 17
2
using "= matrix (...)" in .C calls
...dnode = matrix(double(1), nodes, 3+numresp), inode = matrix(integer(1), nodes, 6), PACKAGE = "rpart") Which in communicates with the C code in "s_to_rp.c" void s_to_rp2(Sint *n, Sint *nsplit, Sint *nnode, Sint *ncat, Sint *numcat, Sint *maxcat, Sint *xvals, Sint *which, double *cptable, double *dsplit, Sint *isplit, Sint *csplit, double *dnode, Sint *inode) Apparently the lines like: dsplit = matrix(double(1), nsplit,3)...
2008 Nov 30
2
Snow and multi-processing
...e of the item in the list, the 500,000 line by x column matrix had to be shipped along with the item in the list and the traffic time was actually longer than the computing time. However, if I export the 500,000 object first across the spawned processes as in this mock script cl <- makeCluster(nnodes,method) mArrayData <- getData(experiments) clusterExport(cl, 'mArrayData') Results <- parLapply(cl, theMapList, function(x) t.testFnc(x)) With a function that define the mArrayData argument as a default parameter as in t.testFnc <- function(probeList, array=mArrayData){ x &...
2008 Sep 30
1
Problem compiling tinc-1.0.8 on gcc-2.95
...sult || lenout != lenin) { logger(LOG_ERR, _("Error while decrypting metadata from %s (%s): %s"), diff -ubr tinc-1.0.8/src/net.c tinc-1.0.8.my/src/net.c --- tinc-1.0.8/src/net.c Wed Feb 14 11:20:27 2007 +++ tinc-1.0.8.my/src/net.c Thu Sep 25 11:19:53 2008 @@ -65,7 +65,7 @@ nnext = nnode->next; n = nnode->data; - if(!n->status.reachable) { + if(!n->status.st.reachable) { ifdebug(SCARY_THINGS) logger(LOG_DEBUG, _("Purging node %s (%s)"), n->name, n->hostname); @@ -93,7 +93,7 @@ nnext = nnode->next; n = nnode->data; - i...
2013 Apr 25
10
[PATCH v4 0/3] Btrfs: quota rescan for 3.10
The kernel side for rescan, which is needed if you want to enable qgroup tracking on a non-empty volume. The first patch splits btrfs_qgroup_account_ref into readable ans reusable units. The second patch adds the rescan implementation (refer to its commit message for a description of the algorithm). The third patch starts an automatic rescan when qgroups are enabled. It is only separated to
2007 Mar 02
0
Dice dissimilarity output and 'phylo' function in R
...her softwares. The codes I used for a small example are shown below: samptest4<- scan (file = "samp-test4.txt") samptest4<- matrix(data = samptest4,nrow=8, ncol=4, byrow=T) library(MASS) library(arules) library(ape) #CFI<- numeric (M) CFI <- function(ctree) { (ctree$Nnode -1)/(length(ctree$tip.label) - 2) } #calculation of dissimilarities & construction of trees# #Calc Jacc disimi# disjacc <- dissimilarity(samptest4, y=NULL,method="jaccard") #Calc Dice disimi# disdice <- dissimilarity(samptest4, y=NULL,method="dice") #Construct Ja...