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static L gazelle_getChildren(GazelleTree tree) { if (tree == null) null; if (tree.children != null) ret tree.children; // make rule engine etc. if (tree.ctx == null) { new GazelleEvalContext ctx; tree.ctx = ctx; ctx.engine = new RuleEngine2; ctx.engine.addRules2(dm_allRulesFromRulesModuleWithCommentsAndIDs()); // gather data for predictor MultiMap statementsByRule = ai_gazelle_indexStatementsByRule(dm_gazelle_statementsFromAppliedRules()); ctx.dataByRule = mapValues ai_gazelle_analyzeStatementsForRule(multiMapToMap(statementsByRule)); } GazelleEvalContext ctx = tree.ctx; new L children; SS inputMap = litmap(standard := tree.line); LS history = concatLists(tlft(dialogHistory), tree.history()); for (int i = 0; i < l(history); i++) inputMap.put("dialog-" + (l(history)-i), history.get(i)); L l = sortByMethodDesc qualitySum(ai_ruleEngine2_rulesForInput_5_allConditions(tree.ctx.engine, inputMap, debug := false)); print("Got rules: " + l(l)); for (RuleEngine2_MatchedRule r : l) { if (r.relativeQuality() < qualityCutOff) continue; S line = r.applyMappingTo(r.rule.out); GazelleTree child = new(line); child.parent = tree; child.ctx = tree.ctx; child.mr = r; ai_gazelle_analyzeStatementsForRule_Data data = ctx.dataByRule.get(r.rule.globalID); child.prediction = data == null ? null : ai_gazelle_predictor1_onData(r, data); children.add(child); } sortByCalculatedFieldDesc(children, func(GazelleTree c) -> int { ai_goodBadToInt(c.prediction) }); ret tree.children = children; }