similar to: BINARY FETCH conversion issue

Using 2.2.2, I see this: C: 6 APPEND "INBOX" (\seen) "16-May-2013 22:05:14 -0600" CATENATE (URL "/INBOX;UIDVALIDITY=1255685337/;UID=48812/;SECTION=HEADER" TEXT ~{40} S: 6 NO [UNKNOWN-CTE] Binary input allowed only when the first part is binary. Why is there this limitation? It seems to me that CATENATE is confusing the content-type encoding of the data/part

Hola a tod en s, tengo una duda que se relaciona con alternativas al uso de variables globales. En principio, si se quiere usar un generador de v.a con la librería Runuran sólo se permite definir las funciones de densidad (o el núcleo de las mismas) con funciones con un único argumento en (x). Sin embargo, necesito pasar a las funciones más argumentos que van cambiando en las iteraciones de

On 20.02.2017 12:47, Toni Mattila wrote: >> imap: When BINARY FETCH sees invalid content, return NO [PARSE] reply >> instead of [UNKNOWNCTE] (which is now used only for actually unknown >> Content-Transfer-Encoding headers). > > Has this been tested with Roundcube webmail? I know Roundcube has some > workarounds when dovecot now responds with that

Hi Second question in a day, i'm beginnning to feel incompetent... This time i'm having a weird problem, i'm importing the next data base: >car<-read.csv2("Historicos.csv") 'data.frame': 1818 obs. of 6 variables: $ Dpto : Factor w/ 11 levels "ANTIOQUIA","ATL?NTICO",..: 2 2 2 2 2 1 1 1 1 5 ... $ Rio : Factor w/ 43 levels

We want to compute a pseudo R-squared for a model whose parameter estimation was based on maximum likelihood (function likfit, package geoR). I tried to compute the R2 proposed by Maddala (1983) which compare the maximized likelihood for the model without any predictor and the maximized likelihood for the model with all predictors. I got a really low value (0,01%). Did I miss something? Are

Buenos días, Me gustaría aplicar una regresión múltiple a los datos con los que trabajo pero no se como introducir los datos en R. He probado introducir el siguiente comando: modeloM<-lm(AVE.~ d1 + as.factor(d1T)*Tariff) summary(modeloM) Pero me da el siguiente error: > summary(modeloM) Error in if (attr(z$terms, "intercept")) sum((f - mean(f))^2) else sum(f^2) : argument is

I''ve got my first server deployment with ZFS. Consolidating a pair of other file servers that used to have a dozen or so NFS exports in /etc/dfs/dfstab similar to; /export/solaris/images /export/tools /export/ws ..... and so on.... For the new server, I have one large zfs pool; -bash-3.00# df -hl bigpool 16T 1.5T 15T 10% /export that I am starting to

+llvm-dev, so we get wider input :) Given how unfortunate reviews that are started without cc'ing the right list are (basically folks need to re-send the review from scratch), I support this idea. Ben, couldn't rL still be available for all projects? (and be the main project for LLVM). On Tue, Nov 21, 2017 at 5:18 PM Ben Hamilton via cfe-dev < cfe-dev at lists.llvm.org> wrote:

I'm seeing this: 1 UID FETCH 31734 (ENVELOPE) * 23 FETCH (UID 31734 ENVELOPE ("Fri, 2 Mar 2012 19:05:24 -0500 (EST)" "XXXXXX" (({22} XXXXX \"X-XX\" XXXXXX NIL "XXXXXXX" "XXXXXXXXX.XXX")) (({22} XXXXX \"X-XX\" XXXXXX NIL "XXXXXXX" "XXXXXXXXX.XXXXXX.XXX")) ((NIL NIL "XXXXXXX"

I am trying to build samba-3.0 on solaris 5.6 and i get the following error during the 'make' stage. rpc_server/srv_pipe.o: In function `get_pipe_fns': rpc_server/srv_pipe.o(.text+0x7020): undefined reference to `lsa_get_pipe_fns' rpc_server/srv_pipe.o(.text+0x7038): undefined reference to `lsa_ds_get_pipe_fn s' rpc_server/srv_pipe.o(.text+0x7050): undefined reference to

Hi, this is my first post here, my name is Lucas and I''m just starting with rails. For one of the first models I made (an accounts plan), I had some example data in a CSV file, so I created this migration, the idea is to detect the parent/child relationships according to the account number, the code works right (if I insert some puts here and there, I can see it), but when the migration

On Thu, Nov 23, 2017 at 12:58 AM Ben Hamilton <benhamilton at google.com> wrote: > Absolutely — I should have mentioned that we would keep the main rL > project and continue to use it. > Your original email said "Moving forward, only LLVM commits will be identified with the prefix rL (as in https://reviews.llvm.org/rL12345) — each project will get its own unique prefix, which

Hi Ben, (+llvm-dev since the email I'm replying to wasn't sent there) 2017-11-21 17:18 GMT+01:00 Ben Hamilton via cfe-dev <cfe-dev at lists.llvm.org> : > OK. I confirmed that Stephan's process to send out cross-repo diffs from > the monorepo is not affected by my proposal. > > I'm a bit late to the party, and I might just not have comprehended this correctly.

Maybe this is just noise... but I can reproduce this fairly reliably. Mailbox with 21,000+ messages This query: a UID SORT RETURN (ALL COUNT) (DATE) UTF-8 SUBJECT "foo" is always about 10 percent slower than this split query (I've done this 4-5 times, and the numbers are similar): a UID SEARCH RETURN (SAVE) CHARSET UTF-8 SUBJECT "foo" b UID SORT RETURN (ALL COUNT)

Buenos días, *Muchas gracias, todas las aportaciones han sido bien útiles.* Las he tenido en cuenta y he pasado los datos con el R, siguiendo el siguiente comando: *modeloRTUN2<-lm(AVE.~ Tariff + d1 + d2 + d3 + d4 + d5 + d6 + d7 + d8 + d9+ d10 + d11+ d12+ d13+ d14+ d15+ d16+ d17+ d18+ d19+ d20 +d21 + Tariff*d1 + Tariff*d2 + Tariff*d10)* *summary(modeloRTUN2)* Siendo: AVE. = Variable

Hi Dave, The patch below corrects a buffer overflow bug in q_parser.y. Since it is triggered by excessively long query strings, I believe that this bug could be exploited to allow arbitrary code execution if a query string supplied by a user is passed in directly to Ferret and not truncatated. If I''m right, you should consider a new release asap. I''ve fixed it to simply

Today we noticed that keywords can't be searched as prefixed terms. Or that's what it looks like anyway. I tested and, or, and not. ╰─% NOTMUCH_DEBUG_QUERY=y notmuch search 'subject:"and"' Query string is: subject:"and" notmuch search: A Xapian exception occurred A Xapian exception occurred parsing query: Syntax: <expression> AND <expression> Query

I wonder if someone can help me understand some counterintuitive simulation results. Below please find 12 lines of R code that theoretically, to the best of my understanding, should produce essentially a flat line with no discernable pattern. Instead, I see an initial dramatic drop followed by a slow rise to an asymptote. The simulation computes the mean of 20,000 simulated trajectories

Dear list, I am trying to follow an example that estimates a 2x2 markov transition matrix across several periods from aggregate data using restricted least squares. I seem to be making headway using solve.QP(quadprog) as the unrestricted solution matches the example I am following, and I can specify simple equality and inequality constraints. However, I cannot correctly specify a constraint

I was playing around with a simple example using solve.qp ( function is in the quadprog package ) and the code is below. ( I'm not even sure there if there is a reasonable solution because I made the problem up ). But, when I try to use solve.QP to solve it, I get the error that D in the quadratic function is not positive definite. This is because Dmat is zero because I don't have a