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59 lines
1.4 KiB
Rust
59 lines
1.4 KiB
Rust
use Term;
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use Result;
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use super::term_weight::TermWeight;
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use query::Query;
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use query::Weight;
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use postings::SegmentPostingsOption;
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use Searcher;
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use std::any::Any;
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/// A Term query matches all of the documents
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/// containing a specific term.
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///
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/// The score associated is defined as
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/// `idf` * sqrt(`term_freq` / `field norm`)
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/// in which :
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/// * idf - inverse document frequency.
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/// * term_freq - number of occurrences of the term in the field
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/// * field norm - number of tokens in the field.
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#[derive(Debug)]
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pub struct TermQuery {
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term: Term,
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}
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impl TermQuery {
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/// Returns a weight object.
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///
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/// While `.weight(...)` returns a boxed trait object,
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/// this method return a specific implementation.
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/// This is useful for optimization purpose.
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pub fn specialized_weight(&self, searcher: &Searcher) -> TermWeight {
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TermWeight {
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num_docs: searcher.num_docs(),
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doc_freq: searcher.doc_freq(&self.term),
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term: self.term.clone(),
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segment_postings_options: SegmentPostingsOption::NoFreq,
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}
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}
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}
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impl From<Term> for TermQuery {
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fn from(term: Term) -> TermQuery {
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TermQuery {
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term: term
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}
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}
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}
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impl Query for TermQuery {
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fn as_any(&self) -> &Any {
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self
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}
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fn weight(&self, searcher: &Searcher) -> Result<Box<Weight>> {
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Ok(box self.specialized_weight(searcher))
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}
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}
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