// Expected
        }
    }

    @Test
    public void test_withRelevantDocs_manyDocs() {
        List<String> docIds = Arrays.asList("doc1", "doc2", "doc3", "doc4", "doc5", "doc6", "doc7", "doc8", "doc9", "doc10");
        List<Integer> indexes = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);
        RelevanceEvaluationResult result = RelevanceEvaluationResult.withRelevantDocs(docIds, indexes);

        Map<String, Object> doc1 = new HashMap<>();
        doc1.put("title", "Doc1");
        Map<String, Object> doc2 = new HashMap<>();
        doc2.put("title", "Doc2");
        Map<String, Object> doc3 = new HashMap<>();
        doc3.put("title", "Doc3");
        documentList.add(doc1);
        documentList.add(doc2);
        documentList.add(doc3);

        final List<Map<String, Object>> docs = new ArrayList<>();
        final Map<String, Object> doc1 = new LinkedHashMap<>();
        doc1.put("url", "https://example.com/page1.html");
        doc1.put("title", "Page 1");
        doc1.put("content", "Content 1");
        doc1.put("lang", "en");
        doc1.put("host", "example.com");
        doc1.put("cache", "cached1");
        docs.add(doc1);

        try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcherWithFixedIds("doc1", "doc2", "doc3"));
            processor.register(new TestSearcherWithFixedIds("doc2", "doc3", "doc4")); // Some duplicates
            processor.init();

    @Test
    public void test_searchWithQuery_returnsConfiguredResults() {
        final List<Map<String, Object>> docs = new ArrayList<>();
        final Map<String, Object> doc = new HashMap<>();
        doc.put("title", "Test Doc");
        doc.put("doc_id", "doc1");
        docs.add(doc);
        chatClient.setSearchResults(docs);
        chatClient.resetSearchDocumentsCalled();

        Map<String, Object> doc1 = new HashMap<>();
        doc1.put("title", "Test Document 1");
        doc1.put("content", "Test content 1");
        documentItems.add(doc1);

        Map<String, Object> doc2 = new HashMap<>();
        doc2.put("title", "Test Document 2");
        doc2.put("content", "Test content 2");
        documentItems.add(doc2);

        searchRenderData.setDocumentItems(documentItems);

        }

        // Sort all documents by fused RRF score (descending)
        final var fusedDocs = documentsByIdMap.values()
                .stream()
                .sorted((doc1, doc2) -> Float.compare(toFloat(doc2.get(scoreField)), toFloat(doc1.get(scoreField))))
                .toList();

        // Calculate offset based on documents not in main searcher's top results
        int offset = 0;

    solr_data = json.load(f)

# Transform documents
fess_docs = []
for doc in solr_data['response']['docs']:
    fess_doc = {
        "url": doc.get("id", ""),
        "title": doc.get("title", [""])[0] if isinstance(doc.get("title"), list) else doc.get("title", ""),
        "content": doc.get("content", [""])[0] if isinstance(doc.get("content"), list) else doc.get("content", ""),
        "mimetype": "text/html",
        "filetype": "html",

        for (Map<String, Object> doc : docs1) {
            assertTrue(doc.get(field).toString().toLowerCase().contains(query), doc.toString());
        }
        List<Map<String, Object>> docs2 = JsonPath.from(wcResponse2).getList("data");
        for (Map<String, Object> doc : docs2) {
            assertTrue(doc.get(field).toString().toLowerCase().contains(query), doc.toString());
        }
    }

    @Test

            final Map<String, Object> doc = new HashMap<>();
            doc.put("doc_id", existingDoc.get("doc_id"));
            doc.put("title", existingDoc.get("title") + "_updated");
            doc.put("url", existingDoc.get("url_link"));
            doc.put("content", "Updated content");
            doc.put("boost", 2.0f);
            doc.put("role", "Rguest");
            documents.add(doc);
        }