search for: allterm

...multi-database support, but I think otherwise we'll end up duplicating a lot of that machinery in the Lucene backend anyway. I've not looked at the Lucene file structure with this in mind yet though - do you see any obvious problems with this approach? > Xapian::TermIterator it = db_in.allterms_begin(); > This method traverse all terms in the first segment, then the second > segment, until the last segment. Iteration over all terms should return the terms in sorted order (by byte value) and without duplicates, neither of which is achieved by handling each segment in turn like this...

Hello, I'd like to be able to retrieve the indexes stored copy of the document text and tried the following: terms = self.db.allterms() terms.skip_to('Q' + uri.encode('utf-8')) term = terms.next() doc = self.db.get_document(term[1]) print doc.get_data() I just wildly guessed that [1] was the docid, but of course it isn't. So the question is, how do I get a docid out of a term? Or if I'm...

first, thank you,xapian! then I'd like to ask if it is possible to do a range query on terms(like the range query on values), or if it is just a wildcard(right truncation) match. the case is searching ip address bettween ?10.10.0.0? and ?10.10.255.255? the user want : 1. query "10.10.10.10" < ip < "10.10.10.12" gives "10.10.10.11" 2. query

...e { ## helmert contrasts can be helpful: do we want to force them? ## this version does for the Error model. opcons <- options("contrasts") options(contrasts=c("contr.helmert", "contr.poly")) on.exit(options(opcons)) allTerms <- Terms errorterm <- attr(Terms, "variables")[[1 + indError]] eTerm <- deparse(errorterm[[2]], width = 500, backtick = TRUE) intercept <- attr(Terms, "intercept") ecall <- lmcall ecall$formula <- as.formula...

...ontrasts can be helpful: do we want to force them? > ## this version does for the Error model. > opcons <- options("contrasts") > options(contrasts=c("contr.helmert", "contr.poly")) > on.exit(options(opcons)) > allTerms <- Terms > errorterm <- attr(Terms, "variables")[[1 + indError]] > eTerm <- deparse(errorterm[[2]], width = 500, backtick = TRUE) > intercept <- attr(Terms, "intercept") > ecall <- lmcall > ecall$formula &lt...

Hello, I have a corpus that I have indexed with xapian/xappy and I would now like to generate a corpus-specific list of stopwords. (This is a technical corpus, so a typical stopword list wouldn't be helpful.) My first thought was to ask the xapian database for a list of terms followed by their frequency. My intuition is that I could probably bring together a list of stopwords by examining

...to an awful lot of terms - "*.*.*.10" potentially matches 16 >million terms. With a value, there's only one thing to check for every >candidate document. > >But if you only actually have a small number of IP addresses and really >want to use terms, you can just iterate allterms from the Database >object and build an OP_SYNONYM query from all the matching terms. In >1.2.x, that's exactly how OP_WILDCARD is implemented (in master >OP_WILDCARD expansion is delayed until we process the Query tree, which >means we can avoid creating Query objects for every te...

Hi all, I've been toying with xapian (mostly using the Python bindings) and I think I've hit a bug in the TermIterator::skip_to() method (or maybe in QuartzAllTermsList::skip_to()). I've attached a c++ source file that demonstrates the issue. In short, if you have a WritableDatabase, ask for the all-terms TermIterator with db.allterms_begin(), and then skip_to() a word that is itself a term, the iterator sometimes stays at the beginning of the term list....

Hi all, I fixed a bug in brass_database.cc. The bug is: *FIXME: this should be done by checking memory usage, not the number of* *changes. We could also look at the amount of data the inverter object* *currently holds.* I also modified the simpleindex.cc so that it now supports batch files indexing. -- Weixian Zhou Department of Computer Science and Engineering University at Buffalo, SUNY

In a previous message I was not clear enough in my querry. I have the following program: tst<- function() { x <- c(32.7,32.3,31.5,32.1,29.7,29.1,35.7,35.9,33.1, 36.0,34.2,31.2,31.8,28.0,29.2,38.2,37.8,31.9, 32.5,31.1,29.7) g <- rep(1:7,rep(3,7)) s <- rep(1:3,7) cat(" Only x and g \n") aov1(x,g) cat("\n\n Now x, g and s \n") aov1(x,g,s=s) }