similar to: memory problem; Error: cannot allocate vector of size 915.5 Mb

Hi I have set up SOLR in accordance with documentation and it runs well. I use solr like: ....... fts = solr fts_solr = debug url=http://IP:8983/solr/ (solr in external machine) ...... Is replication of this system really essential ?? Due to my tests, rollback of the solr server on external machine lasts less than minute and it is nearly non-visible from client side. On the other hand solr

Greetings, We present “Machine Function Splitter”, a codegen optimization pass which splits functions into hot and cold parts. This pass leverages the basic block sections feature recently introduced in LLVM from the Propeller project. The pass targets functions with profile coverage, identifies cold blocks and moves them to a separate section. The linker groups all cold blocks across functions

Hi, i got search which shows following error ActionView::Template::Error (undefined method `model_name'' for NilClass:Class): 1: <%= form_for(@employee) do |e| %> 2: EMP ID<%= e.text_field :id %><br> 3: <%= e.submit ''search'', :controller => ''employees'', :action => ''search1'' %>

On Tue, Aug 4, 2020 at 10:51 PM aditya kumar <hiraditya at gmail.com> wrote: > Glad to hear that there is an interest in a function splitting pass. There > are advantages to splitting functions at different stages as you've already > noted. > Right -- with slightly different objectives. Machine Function Splitting Pass's main focus is on performance improvement. > -

Hello list, So, the application I am working on right now needs to have LDAP authentication build in, meaning that if the user enabled it, we will query about his basic data (email,pwd) on a user-setup LDAP directory. It used to work fine when I was testing with OpenLDAP. The code, essentially, is this: connection.bind(self.bind_dn,self.password)

Hi, I want to plot grouped bars to compare 95% confidence interval estimates from two models. Each bar represents a 95% confidence interval estimate of a coefficient from one of the two models. Each group represents confidence interval estimates of the same coefficient from the two models. I think such a bar plot will nicely present whether 95% confidence interval estimates of the same

Hi R fans, As a newbie following the five-hour rule (after hitting my head against the wall for five hours, post to this list), I am appealing for some help understanding geom_rect() in ggplot2. What I want to do is very simple. I want to generate a plot of rectangles. Each one represents a business cycle. The x-values will be pairs representing the start and end of each cycle. The y-values

Obviously I am missing something and I don''t know what it is... I am following the instructions at http://rubyforge.org/docman/view.php/381/114/activeldap_rb.html and also here... http://wiki.rubyonrails.org/rails/pages/HowtoAuthenticateViaLdap my model looks exactly like this... class LdapUser < ActiveRecord::Base ldap_mapping :dnattr => ''uid'', :prefix

What am I missing? When I run the code below I get the error message "Error: ggplot2 doesn't know how to deal with data of class function" Googling suggests a message of "Error: ggplot2 doesn't know how to deal with data of class XXX" is not uncommon but I don't see why I am getting a "function" error unless I am using some reserved word?

I am porting some FORTRAN to R in which an Inf triggers an if(). The trigger is infinite on exp(lgamma(OVER)). What is the canonical R style of determining OVER when exp(OVER)== Inf? The code structure that I am porting is best left intact--so I need to query R somehow to the value of OVER that causes exp(lgamma(OVER)) to equal Inf. On my system, exp(lgamma(171)) is about first to equal Inf.

I want to make a plot, but instead of showing _numerical_ values, I would like to show _symbolic_ values. For example, I want to plot a function y = a x + b, where x varies between Xmin and Xmax. I would like the plot to show, in the x-axis, the strings Xmin and Xmax, instead of their numeric values. Is it possible? Alberto Monteiro

Dear R experts, I am sorry for sending this email again. I would imagine yesterday and maybe today, have been very busy days with the release of R v 2.7.0. I join all the R users who are very gratful for your contant work and efforts, specially knowing that you are doing this for the sake of science, without gettig any compensation for that. Having written that, I decided to send the

With some help from those with expertise on this list, I managed to produce a plot using trellis that looked like I wanted it to look. Now, I need to take the same plot and make the lines on it color, but I want to specify the color for the lines myself. I've managed to make the key use the colors I want. I've managed to make the symbols of the actual plot use the colors I want. But I

Hello Maksim, On Fri, Oct 18, 2019 at 10:57 AM Maksim Panchenko <maks at fb.com> wrote: > Cool. The new numbers look good. If you run BOLT with jemalloc library > > preloaded, you will likely get a runtime closer to 1 minute. We’ve noticed > that > > compared to the default malloc, it improves the multithreaded > > performance and brings down memory usage

All: Are there any functions out there for selecting all the points in a region of a plot. I envision something like the identify() function except one could circle a cloud of points (and perhaps a vector would be returned of the same length as the points plotted indicating logical membership in the circled cloud). Perhaps someone has done something with the locator() function that would

Relatively new user with a question regarding abline. I want to draw a st. line fit to some data but I want the line to span the range of the x-data and NOT the plot limits. In short the line spans xmin to xmax(of plot axis) but I want it to span xmin to xmax (of x data). Can this but done with abline or do I have to use lines and construct the line from a+bx? Paul Rydelek, Ph.D. 5232 Dorset

Dear R users, I'm trying to implement a self-defined function with multiple arguments, one of which is an array, but I find that the result is a single value instead of an array. This is the example I'm working on: # define integration limit vector > Mabslim <- c(-17.95, -16.65, -17.27, -17.62, -16.76, -17.07, -17.02) # Define function > schech<-function(x,alpha,xstar)

Hi everyone. R is new to me and I'm very impressed with its capabilities but still cannot figure out how to do some basic things. There seems to be no lack of documentation but finding what I need has proven difficult. Perhaps you can help. Here's what I'm after: 1. How do I create a new plot without erasing the prior one i.e., have a new window pop up with the new graph?

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I have a xml exported by Manifold GIS but I'm not being able to import it into R using XLM package. The file have this structure: <?xml version="1.0" encoding="UTF-8" ?> - <layout> <name>Layout 2</name> <pagesByX>1</pagesByX> <pagesByY>1</pagesByY> - <elements> <legend