search for: elelment

I have an AST, and I walk it to generate llvm-IR. For function definitions, I need to be able to generate functions : vector<datatypes> foo (param_list) i.e. my return value is a vector of different datatype.s, similar to the param list. My question is, what do i put my elelment type in the vector? It can be a vector of any of the element types.. i.e. the first value can be a float, the second char* etc.. VectorType* vt = VectorType::get(..) FunctionType* ft = FunctionType::get (vt,..) Function *f = Function::Create (..) -------------- next part -------------- An HTML at...

Hi, We have Ubuntu 14.04.3 server and Samba 4.1.6-Ubuntu. Windows and Mac Os X clients connect this server. Some Os X users sometimes report "error code -43" when file copying to server. What can cause the problem? this is my smb.conf [global] workgroup = hurguc realm = HURGUC.LOCAL preferred master = No security = ads password server = dbdns2.hurguc.local encrypt passwords =

...p #i=1 to 140 if (LCfirst1 = 0). * SET UP A CONDITIONAL TRANSFORMATION THAT IS EVALUATED FOR EACH ELEMENT OF THE VECTOR. THUS, WHEN #i = 1, THE EXPRESSION EVALUATES THE FIRST ELEMENT OF THE VECTOR (THAT IS, THE FIRST OF THE 140 ITEM RESPONSES). AS THE LOOP RUNS AND #i INCREASES, SUBSEQUENT VECTOR ELELMENTS ARE EVALUATED. THE do if STATEMENT RETAINS CONTROL AND KEEPS LOOPING THROUGH THE VECTOR UNTIL A '1' IS ENCOUNTERED. + do if x(#i) = 1. * WHEN A '1' IS ENCOUNTERED, CONTROL PASSES TO THE NEXT STATEMENT, WHICH RECODES THE VALUE OF THAT VECTOR ELEMENT TO '99'. + comp x(#i) =...

Hi, Im using geoR and I'm trying to do some predictions, based on an external trend. I'm having some problems specifying my model.control, specifically how do I define my model, and also the source of the covariate data at the prediction locations? I am assuming that the covariate data at the prediction locations should be imported to a geodata object along with the prediction location

...d naturally be read in with read.table (or in the case of tab-delimited data with read.delim) after skipping the first 14 lines. > > mydata$city <- rep(cities[1,1], nrow(mydata)) There's no need to use `rep` with data.frame. If one argument to data.frame is length n then all single elelment arguments will be "recycled" to fill in the needed number of rows. Please take the time to work through all the pages of "Introduction to R" (shipped with all distributions of R) or pick another introductory text. We cannot provide tutoring to all students. You need to put in th...

...r in > the case of tab-delimited data with read.delim) after skipping the first 14 > lines. > > > > > > mydata$city <- rep(cities[1,1], nrow(mydata)) > > There's no need to use `rep` with data.frame. If one argument to > data.frame is length n then all single elelment arguments will be > "recycled" to fill in the needed number of rows. Please take the time to > work through all the pages of "Introduction to R" (shipped with all > distributions of R) or pick another introductory text. We cannot provide > tutoring to all students. Y...

Dear David, This is amazing, thank you so much. If I may ask another question: The output looks like the following: ### dput(head(x,15)) c("Metadata for Requested Time Series:", "", "prod_name=GLDAS_NOAH025_3H_v2.0", "param_short_name=Tair_f_inst", "param_name=Near surface air temperature", "unit=K",