search for: mf

..., 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103, 3.052, 2.292, 2.244, 1.706, 1.297, 29.76, 28.79, 29.51, 28.9, 31.67, 31.18, 32.64, 34.31, 35.65, 37.59, 36, 36.27, 33.94, 33.74, 29.44, 46.54, 54.01, 59.1, 62.17, 67.67, 24.75, 24.4, 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103), Measure = c("MF None", "MF None", "MF None", "MF None", "MF None", "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF Debt", "MF Debt", "MF Debt", "MF Debt", &quo...

...25.4, 18.7, 29, 11.48, > 7.103, 3.052, 2.292, 2.244, 1.706, 1.297, 29.76, 28.79, 29.51, > 28.9, 31.67, 31.18, 32.64, 34.31, 35.65, 37.59, 36, 36.27, 33.94, > 33.74, 29.44, 46.54, 54.01, 59.1, 62.17, 67.67, 24.75, 24.4, > 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103), Measure = c("MF None", > "MF None", "MF None", "MF None", "MF None", "MF Equity", "MF Equity", > "MF Equity", "MF Equity", "MF Equity", "MF Debt", "MF Debt", > "MF Debt", "MF D...

...8, > > 7.103, 3.052, 2.292, 2.244, 1.706, 1.297, 29.76, 28.79, 29.51, > > 28.9, 31.67, 31.18, 32.64, 34.31, 35.65, 37.59, 36, 36.27, 33.94, > > 33.74, 29.44, 46.54, 54.01, 59.1, 62.17, 67.67, 24.75, 24.4, > > 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103), Measure = c("MF None", > > "MF None", "MF None", "MF None", "MF None", "MF Equity", "MF Equity", > > "MF Equity", "MF Equity", "MF Equity", "MF Debt", "MF Debt", > > "MF Debt&qu...

...92, 2.244, 1.706, > > > 1.297, 29.76, 28.79, 29.51, 28.9, 31.67, 31.18, 32.64, 34.31, 35.65, > > > 37.59, 36, 36.27, 33.94, 33.74, 29.44, 46.54, 54.01, 59.1, 62.17, > > > 67.67, 24.75, 24.4, 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103), > > > Measure = c("MF None", "MF None", "MF None", "MF None", "MF None", > > > "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF > > > Debt", "MF Debt", "MF Debt&qu...

...t; > > > 1.297, 29.76, 28.79, 29.51, 28.9, 31.67, 31.18, 32.64, 34.31, 35.65, > > > > 37.59, 36, 36.27, 33.94, 33.74, 29.44, 46.54, 54.01, 59.1, 62.17, > > > > 67.67, 24.75, 24.4, 25, 24.61, 24.02, 25.4, 18.7, 29, 11.48, 7.103), > > > > Measure = c("MF None", "MF None", "MF None", "MF None", "MF None", > > > > "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF Equity", "MF > > > > Debt", "MF Debt", "...

...sted. > Rows are observations. > Columns are variables. > In Excel, the first row will be variable names and all subsequent rows > will be observations. > > Income is the first variable. It has seven states: $10, $25, $40, $75, > >$75, "No", "Answer" > MF is the second variable. It has six values: 1, 2, 3, 4, 5, 9 > None is the third variable. It has seven values: 1, 3.05, 2.29, 2.24, > 1.71, 1.30, 2.83 > Equity is the last variable with many states, both numeric and text. A > computer will read it all as text. > > As written the...

...'Y' AS proxy \ FROM mailbox \ WHERE user = '%u' AND activeFlg = '1' LIMIT 1 The logfile extracts with "auth_cache_verify_password_with_worker = yes": - First Login from mail.log (work's) Apr 2 12:27:11 mf-19 dovecot: auth: Debug: client in: AUTH#0111#011PLAIN#011service=imap#011secured=tls#011session=6fZiPkyiWHJSZMhl#011lip=178.254.4.122#011rip=93.200.174.28#011lport=143#011rport=29272#011local_name=mf-19.1blu.de#011ssl_cipher=TLS_AES_128_GCM_SHA256#011ssl_cipher_bits=128#011ssl_pfs=KxANY#011ssl_pro...

...ne year fourier series. I have tried to debug the nls code using the following code t1<-data.frame(t=as.vector(x),id=index(x)) data=t1; formula <- as.formula(t ~ a *sin(w *2* pi/365 * id + p) + b * id + int); varNames <- all.vars(formula) algorithm<-'default'; mf <- match.call(definition=nls,expand.dots=FALSE, call('nls',formula, data=parent.frame(),start,control = nls.control(), algorithm = "default", trace = FALSE, subset, weights, na.action, model = FALSE, lower = -Inf, upper = Inf)); mWeights<-F;#mis...

...trate the error: ## Dummy data to illustrate formula method d <- data.frame(A = runif(10), B = runif(10), C = runif(10)) ## simulate some missings d[sample(10,3), 1] <- NA foo <- function(formula, data = NULL, subset = NULL, na.action = na.pass, ...) { mf <- match.call() mf[[1]] <- as.name("model.frame") mt <- terms(formula, data = data, simplify = TRUE) mf[[2]] <- formula(mt, data = data) mf$na.action <- substitute(na.action) dots <- list(...) mf[[names(dots)]] <- NULL mf <- eval(mf,pare...

...test-v2v-i-ova-formats.sh b/v2v/test-v2v-i-ova-formats.sh index d113994..ab15f32 100755 --- a/v2v/test-v2v-i-ova-formats.sh +++ b/v2v/test-v2v-i-ova-formats.sh @@ -59,21 +59,22 @@ pushd $d truncate -s 10k disk1.vmdk sha=`do_sha1 disk1.vmdk` echo -e "SHA1(disk1.vmdk)= $sha\r" > disk1.mf +cp ../test-v2v-i-ova-formats.ovf . for format in $formats; do case "$format" in tar) - tar -cf test-$format.ova ../test-v2v-i-ova-formats.ovf disk1.vmdk disk1.mf + tar -cf test-$format.ova test-v2v-i-ova-formats.ovf disk1.vmdk disk1.mf...

comments? -------------- next part -------------- An embedded message was scrubbed... From: Charles Clancy <mgrtcc at cs.rose-hulman.edu> Subject: Problems on Sparcs Date: Wed, 6 Dec 2000 09:55:41 -0500 (EST) Size: 2913 Url: http://lists.mindrot.org/pipermail/openssh-unix-dev/attachments/20001206/c7cb5d2a/attachment.mht

I'm trying to evaluate a pre-built expression using eval(), e.g. dataset <- data.frame(y = runif(30, 50,100), x = gl(5, 6)) # one like this mf <- expression(model.frame(y~x)) eval(mf, dataset, parent.frame()) # rather than this eval(expression(model.frame(y~x)), dataset, parent.frame()) In the example above there is no problem, the problem comes when I try to do a similar thing within a function, e.g. f1 <- function(formula, data...

...a one year fourier series. I have tried to debug the nls code using the following code t1<-data.frame(t=as.vector(x),id=index(x)) data=t1; formula <- as.formula(t ~ a *sin(w *2* pi/365 * id + p) + b * id + int); varNames <- all.vars(formula) algorithm<-'default'; mf <- match.call(definition=nls,expand.dots=FALSE, call('nls',formula, data=parent.frame(),start,control = nls.control(), algorithm = "default", trace = FALSE, subset, weights, na.action, model = FALSE, lower = -Inf, upper = Inf)); mWeights<-F;#missing(...

This series fixes and enhances parsing of the OVA manifest file. The changes are: - Added mandatory space to the regexp - Process all lines in the file, not just one - Warn on improperly formated lines - Support SHA256 hashes v1 -> v2: rebased on to master to make use of the Checksums module Tomáš Golembiovský (2): v2v: ova: fix checking of the manifest file v2v: ova: support SHA256

...ne year fourier series. I have tried to debug the nls code using the following code t1<-data.frame(t=as.vector(x),id=index(x)) data=t1; formula <- as.formula(t ~ a *sin(w *2* pi/365 * id + p) + b * id + int); varNames <- all.vars(formula) algorithm<-'default'; mf <- match.call(definition=nls,expand.dots=FALSE, call('nls',formula, data=parent.frame(),start,control = nls.control(), algorithm = "default", trace = FALSE, subset, weights, na.action, model = FALSE, lower = -Inf, upper = Inf)); mWeights<-F;#mis...

This series fixes and enhances parsing of the OVA manifest file. The changes are: - Added mandatory space to the regexp - Process all lines in the file, not just one - Warn on improperly formated lines - Support SHA256 hashes v4 -> v5: - fix tests - change one test to include the SHA256 checksum Tomáš Golembiovský (2): v2v: ova: fix checking of the manifest file v2v: ova: support SHA256

We had problems removing password complexity, and I noticed a lot of confusion on the list about exactly this topic. So I thought I would post our success. We're talking about a Samba4 PDC/AD here. Once we got Samba installed and provisioned, we used samba-tool from the command-line on the Samba box to change the domain password settings: sudo samba-tool domain passwordsettings set

...y, before any code is run (specifically, I cannot allow any stack operations). Because of this, I figured a good place to do this code insertion is in EmitPrologue. I also, at this time, create the block that handles the error case. // create a new block for the overflow handling code MF.overflowBlock = MF.CreateMachineBasicBlock(); MachineFunction::iterator obinsert = MF.begin(); MF.addToMBBNumbering(MF.overflowBlock); MF.push_back(MF.overflowBlock); // on overflow jump to a new block to handle overflow BuildMI(MBB, MBBI, DL, TII.get(X86::JAE_4)).addM...

...stall/powerpc64-unknown-linux-gnu/lib/ -isystem /tmp/chenwj/install/powerpc64-unknown-linux-gnu/include -isystem /tmp/chenwj/install/powerpc64-unknown-linux-gnu/sys-include -DHAVE_CONFIG_H -I. -I../../../llvm-gcc-4.2-2.8.source/libmudflap -I. -Wall -ffunction-sections -fdata-sections -O2 -g -O2 -MT mf-hooks2.lo -MD -MP -MF .deps/mf-hooks2.Tpo -c ../../../llvm-gcc-4.2-2.8.source/libmudflap/mf-hooks2.c -fPIC -DPIC -o .libs/mf-hooks2.o ../../../llvm-gcc-4.2-2.8.source/libmudflap/mf-hooks2.c: In function '__mfwrap_recvfrom': ../../../llvm-gcc-4.2-2.8.source/libmudflap/mf-hooks2.c:1342: erro...

...isc:::cancor # TODO: make cancisc::cancor() use x, y, not X, Y cancor.formula <- function(formula, data, subset, weights, na.action, method = "qr", model = TRUE, x = FALSE, y = FALSE, qr = TRUE, contrasts = NULL, ...) { cl <- match.call() mf <- match.call(expand.dots = FALSE) m <- match(c("formula", "data", "subset", "weights", "na.action"), names(mf), 0L) mf <- mf[c(1L, m)] mf[[1L]] <- as.name("model.frame") mf <- eval(mf, parent.frame())...