","x2","xmlns","y","y1","y2","z","zoomandpan"]),F=i(["accent","accentunder","align","bevelled","close","columnsalign","columnlines","columnspan","denomalign","depth","dir","display","displaystyle","encoding","fence","frame","height","href","id","largeop","length","linethickness","lspace","lquote","mathbackground","mathcolor","mathsize","mathvariant","maxsize","minsize","movablelimits","notation","numalign","open","rowalign","rowlines","rowspacing","rowspan","rspace","rquote","scriptlevel","scrip...

        // Create a larger set of documents
        final Map<String, Object> requestBody = new HashMap<>();
        final List<Map<String, Object>> documents = new ArrayList<>();

        for (int i = 100; i < 120; i++) {
            final Map<String, Object> doc = new HashMap<>();
            doc.put("title", NAME_PREFIX + "large_" + i);

        }
    }

    @Test
    public void test_execute_withVeryLargeBoost() {
        // Test executing BoostQuery with very large boost value
        Term term = new Term("field", "large");
        TermQuery termQuery = new TermQuery(term);
        BoostQuery boostQuery = new BoostQuery(termQuery, Float.MAX_VALUE);

        QueryContext context = new QueryContext("test", false);

        RescorerBuilder<?> result = ltrQueryRescorer.evaluate(params);
        assertNotNull(result);
        assertEquals(10, ((QueryRescorerBuilder) result).windowSize().intValue());

        // Test with large window size
        ComponentUtil.setFessConfig(new FessConfig.SimpleImpl() {
            @Override
            public String getLtrModelName() {
                return testModelName;
            }

    }

    @Test
    public void test_constructor_withLargeBufferSize() throws IOException {
        Process mockProcess = createMockProcess("large buffer test");
        JobProcess jobProcess = new JobProcess(mockProcess, 10000, null);

        assertNotNull(jobProcess.getInputStreamThread());
    }

    @Test

        // Note: This is a rough check - exact performance depends on JVM, hardware, etc.
        // We expect Set lookup to be at least as fast as array lookup for large datasets
        assertTrue("Set-based lookup should be faster or comparable to array-based lookup for large datasets",
                setDuration <= arrayDuration * 2); // Allow 2x margin for test stability
    }

    /**
     * Helper method to create a test FessConfig.

        assertFalse(queryCommand.isSearchField("anyfield"));
    }

    /**
     * Test isSearchField() performance with large field set.
     */
    @Test
    public void test_isSearchField_performance() {
        // Create a large set of search fields
        int fieldCount = 1000;
        String[] fields = new String[fieldCount];
        for (int i = 0; i < fieldCount; i++) {

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.llm;

import java.util.List;
import java.util.Map;

/**
 * Interface for LLM (Large Language Model) clients.
 * Implementations provide integration with different LLM providers
 * such as Ollama, OpenAI, and Google Gemini.
 *
 * In addition to low-level chat operations, this interface defines

                if (params != null && params.size() > 100) {
                    return createMockRescorerBuilder();
                }
                return null;
            }
        };

        // Test with large number of parameters
        Map<String, Object> largeParams = new HashMap<>();
        for (int i = 0; i < 150; i++) {
            largeParams.put("key" + i, "value" + i);
        }

        // This shows that the class returns the same array reference
        assertSame(retrievedValues, param.getValues());
    }

    @Test
    public void test_largeValueArray() {
        // Test with large array of values
        String name = "largeParam";
        String[] values = new String[1000];
        for (int i = 0; i < values.length; i++) {
            values[i] = "value" + i;
        }