search for: _data_

Hi Louis, You could try this: # find the index of the maximum value in each row of _data_, # disregarding the last column classified <- apply(data[,-(nclass+1)],1,which.max) ## or, if the maximum may be repeated: classified <- apply(data[,-(nclass+1)], 1, FUN = function(x) which(x == max(x))) # the variable _truth_ is just the last column of _data_ ? truth <- data[,nclass + 1...

...to an inconsistant view of the file attributes in rep_b - depending on the order of the mirroring commands, the second rsync job for rep_b might reverse the attribute change (again for both repositories) Recapitulating, once two files are hardlinked, rsync will break the hardlink only if one files _data_ changes, if only the metadata (mode, ownership, times) changes, the file will be updated in-place, leading to an inconsistent mirror. Unfortunately I couldn't find an option for rsync to apply even metadata-changes to a new copy of the file. (Another option could be checking the link-count of...

...n all packets? They are only needed > when you create a connection, no? Afterwards port numbers > can be used. The cid is present in DGRAM packets and STREAM _control_ packets (connection handshake, signal read/write and so forth). I don't think the intent here is for it to be in STREAM _data_ packets, but Asias can clarify. > > Virtio VM socket connection creation: > > 1) Client sends VIRTIO_VSOCK_OP_REQUEST to server > > 2) Server reponses with VIRTIO_VSOCK_OP_NEGOTIATE to client > > 3) Client sends VIRTIO_VSOCK_OP_OFFER to server > > 4) Server responses...

...n all packets? They are only needed > when you create a connection, no? Afterwards port numbers > can be used. The cid is present in DGRAM packets and STREAM _control_ packets (connection handshake, signal read/write and so forth). I don't think the intent here is for it to be in STREAM _data_ packets, but Asias can clarify. > > Virtio VM socket connection creation: > > 1) Client sends VIRTIO_VSOCK_OP_REQUEST to server > > 2) Server reponses with VIRTIO_VSOCK_OP_NEGOTIATE to client > > 3) Client sends VIRTIO_VSOCK_OP_OFFER to server > > 4) Server responses...

...tion period will create a lot of >> short-term churn but get us to the good endpoint sooner. Doing >> conversions per-file or per-class (rather than per-function [too >> small] or per-library [too big]) are probably the way to go. >> Given we are changing the names used for _data_, and we try to >> practice good data-hiding, the impact of the conversion of any >> given class *ought* to be reasonably confined. >> > > I generally agree with this strategy. That said, I would still do it > somewhat lazily rather than eagerly, but batched much as you...

...t_item_data* is preferred for clarity and consistency with the +other classes such as "TreeCtrl":treectrl.html and +"ListCtrl":listctrl.html which offer a similar feature. </ins><span class="cx"> </span><del>-* _n_ The zero-based item index. -* _data_ The client data to associate with the item. - - -h3(#ControlWithItems_setclientobject). ControlWithItems#set_client_object - - *set_client_object*(%(arg-type)Integer% n, %(arg-type)ClientData% data) - -Associates the given typed client data pointer with the given item: the -_data_ object will be...

hello, i would like to read in a small amount of csv data directly from a sweave-enabled latex document. i tried \begin{Scode}{fig=FALSE,echo=TRUE} timeval <- read.csv(stdin(),nrows=2) t1,t2,t3,t4 24.23,26.79,23.47,23.97 \end{Scode} but apparently the stdin() approach doesnt't work as I get Writing to file test.tex Processing code chunks ... 1 : echo term verbatim Error: chunk 1

...aris 8 (OpenSSH-3.4p1, KTH-Krb4-1.1.1, IBM/Transarc ASF). Here is the cause for the bug: The problem is that k_pioctl() returns -1 and "errno" returns an error code ENOTCONN for _all_ tokens it finds if there is an expired token present. The loop has to continue in this case although the _data_ returned by k_pioctl() is invalid. This invalidness can be checked by comparing the length of the "ClearToken" component with the size of the ClearToken struct. In OpenSSH-3.4p1 this condition is checked in sshconnect1.c line 814. But it is wrong to "break" out of the loop becau...

...amp CD Ripper under Linux using WINE. CD Ripper doesn't see audio CDs, too. I am using WINE 1.3.33, Ubuntu 11.10 64bit. Ubuntu itself correctly identifies the CD drives, and the Audio CDs. The CD-Rom-Drives are internal ATAPI drives, and external Plextor drives connected via firewire. If I put _data_ CDs into those drives and mount them, winecfg sees all these drives (even the external ones). So accessing data CDs via WINE does work. The CD Rom Drives are represented by /dev/sr* and mirrored to /dev/sg*. Rights seem to be correct, "rw" rights are set for user AND group (cdrom). My u...

...enAFS-1.2.5. The same happens on Solaris 8 (OpenSSH-3.4p1, KTH-Krb4-1.1.1, IBM/Transarc ASF). Here is the cause for the bug: The problem is that k_pioctl() returns error code ENOTCONN for _all_ tokens it finds if there is an expired token present. The loop has to continue in this case although the _data_ returned by k_pioctl() is invalid. This invalidness can be checked by comparing the length of the "ClearToken" component with the size of the ClearToken struct. In OpenSSH-3.4p1 this condition is checked in sshconnect1.c line 814. But it is wrong to "break" out of the loop becau...

...A more focused and shorter transition period will create a lot of short-term churn but get us to the good endpoint sooner. Doing conversions per-file or per-class (rather than per-function [too small] or per-library [too big]) are probably the way to go. Given we are changing the names used for _data_, and we try to practice good data-hiding, the impact of the conversion of any given class *ought* to be reasonably confined. If someone can make clang-tidy help with this, that's awesome. I'm almost afraid to make the next suggestion, but here goes: In more complicated/wide-impact cases...

Hello all~ I am interested in clarifying something more conceptual, so I won't be providing any data or code here. >From what I understand, partial dependence plots can help you understand the relative dependence on a variable, and the subsequent values of that variable, after "averaging out the effects" of the other input variables. This is great, but what I am interested in

> On Feb 19, 2019, at 7:43 AM, Alex Bradbury via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > On Tue, 19 Feb 2019 at 15:24, Zachary Turner <zturner at google.com> wrote: >> On Mon, Feb 18, 2019 at 2:16 AM Michael Platings via llvm-dev <llvm-dev at lists.llvm.org> wrote: >>> >>> Regarding a plan for conversion, I'm keen to avoid perfect

Greetings All, Out of curiosity, I've just done a very primitive experiment: Obj <- list(Fun=sum, Dat=c(1,2,3,4)) Obj$Fun(Obj$Dat) # [1] 10 That sort of thing (much more sophisticated) must be documented mind-blowingly somewhere. Where? Where I stand right now: The above (and its immediately obvious generalisations, like Obj$Fun<-cos) is all I know about it so far. Ted.

Hello guys, In commit d021c344051af91 (VSOCK: Introduce VM Sockets), VMware added VM Sockets support. VM Sockets allows communication between virtual machines and the hypervisor. VM Sockets is able to use different hyervisor neutral transport to transfer data. Currently, only VMware VMCI transport is supported. This series introduces virtio transport for VM Sockets. Any comments are

Hello guys, In commit d021c344051af91 (VSOCK: Introduce VM Sockets), VMware added VM Sockets support. VM Sockets allows communication between virtual machines and the hypervisor. VM Sockets is able to use different hyervisor neutral transport to transfer data. Currently, only VMware VMCI transport is supported. This series introduces virtio transport for VM Sockets. Any comments are