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Change how the cost of removing words is computed
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701d299369
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@ -139,13 +139,12 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
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let mut forbidden_nodes =
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SmallBitmap::for_interned_values_in(&query_graph.nodes);
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let mut costs = query_graph.nodes.map(|_| None);
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let mut cost = 100;
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// FIXME: this works because only words uses termsmatchingstrategy at the moment.
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for ns in removal_order {
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for n in ns.iter() {
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*costs.get_mut(n) = Some((cost, forbidden_nodes.clone()));
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*costs.get_mut(n) = Some((1, forbidden_nodes.clone()));
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}
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forbidden_nodes.union(&ns);
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cost += 100;
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}
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costs
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}
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@ -49,10 +49,15 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
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if let Some((cost_of_ignoring, forbidden_nodes)) =
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cost_of_ignoring_node.get(dest_idx)
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{
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let dest = graph_nodes.get(dest_idx);
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let dest_size = match &dest.data {
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QueryNodeData::Term(term) => term.term_ids.len(),
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_ => panic!(),
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};
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let new_edge_id = edges_store.insert(Some(Edge {
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source_node: source_id,
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dest_node: dest_idx,
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cost: *cost_of_ignoring,
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cost: *cost_of_ignoring * dest_size as u32,
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condition: None,
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nodes_to_skip: forbidden_nodes.clone(),
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}));
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@ -41,9 +41,6 @@ impl RankingRuleGraphTrait for WordsGraph {
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_from: Option<&LocatedQueryTermSubset>,
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to_term: &LocatedQueryTermSubset,
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) -> Result<Vec<(u32, Interned<Self::Condition>)>> {
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Ok(vec![(
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to_term.term_ids.len() as u32,
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conditions_interner.insert(WordsCondition { term: to_term.clone() }),
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)])
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Ok(vec![(0, conditions_interner.insert(WordsCondition { term: to_term.clone() }))])
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}
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}
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