similar to: [PATCH] lift physical address restriction in svae/restore code

Hi, I looked at the function xc_translate_foreign_address(), and see that it walks the page table of the guest VM. So at best, it should return the pfn of the guest (?) We can see taht the Later part of the function is like this: ... if (pt_levels >= 3) mfn = (pte & L0_PAGETABLE_MASK_PAE) >> PAGE_SHIFT; else mfn = (pte & L0_PAGETABLE_MASK)

Hello, I have recently had issues with read.csv where i get the following warning, and this happens on both my OSX and Linux machines. Here is the warning and an example CSV file is attached: Warning message: In read.table(file = file, header = header, sep = sep, quote = quote, : incomplete final line found by readTableHeader on 'test.csv' http://

I'm trying to make a transition from S-plus under Windows to R under Linux. My immediate aim is to produce a scatter plot with two y-axes with different scales. That can be done in S-plus with a command of the following form: guiPlot( PlotType="Scatter", DataSet="execon", Columns="years,hstart,ship", AxisType="Multiple Y" ), where years, hstart, and

Got this today. Please take a look and let me know what you think. - Dan ---------- Forwarded message ---------- From: Kevin Burge <kevin.burge at systemware.com> Date: Dec 7, 2006 6:45 AM Subject: win32-service problems with patch To: djberg96 at gmail.com Hi Daniel, Thanks for win32-service. In the process of using it for running a reliable-msg (drb) server and clients, I had some

Dear friends, I met some problem on using GAM() function in R. Any help or suggestions are greatly appreciated. # My programs and problems are list below# library(splines) library(gam) point<-read.csv("d:/gam.csv",sep=",",header=TRUE) #read the data gam.opt<-gam(mark~lo(x,y,span=0.2)+lo(lstday2004,span=0.2)+lo(slope,span=0.2)+lo(ndvi2004,span=

Hi R-Help, I am using R to do functional outlier detection (using PCA to reduce to 2 dimensions - the functional boxplot methodology used in the Rainbow package), and using Hscv.diag function to calculate the bandwidth matrix where this line of code is run: result <- optim(diag(Hstart), scv.mat.temp, method = "Nelder-Mead", control = list(trace = as.numeric(verbose))) Within the

This patch series is a reworking of a series developed by Mukesh Rathor at Oracle. The entirety of the design and development was done by him; I have only reworked, reorganized, and simplified things in a way that I think makes more sense. The vast majority of the credit for this effort therefore goes to him. This version is labelled v13 because it is based on his most recent series, v11.