final Map<String, Object> result = indexUpdater.ingest(accessResult, doc);

        assertNotNull(result);
        // Result should be the same as input doc when ingester is null or doesn't modify
        assertSame(doc, result);
    }

    // Test ingest with exception in ingester
    public void test_ingest_withException() {

    }

    private static class TestIngestFactory extends IngestFactory {
        List<Ingester> ingesters = new ArrayList<>();

        @Override
        public Ingester[] getIngesters() {
            return ingesters.toArray(new Ingester[0]);
        }
    }

    private static class TestIngester extends Ingester {
        int processCalled = 0;

        @Override

            return map;
        }
        Map<String, Object> target = map;
        for (final Ingester ingester : ingestFactory.getIngesters()) {
            try {
                target = ingester.process(target, accessResult);
            } catch (final Exception e) {
                logger.warn("Failed to process Ingest[{}]", ingester.getClass().getSimpleName(), e);
            }
        }
        return target;
    }

And it will be annotated / documented accordingly too.

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

All that, arbitrarily nested.

### Define a submodel { #define-a-submodel }

            assertFalse(result, "Should return false for invalid signature");
        }

        @Test
        @DisplayName("Should correctly verify signatures - regression test for inverted logic bug")
        void testVerifySignatureLogicRegression() throws Exception {
            // This test ensures the signature verification logic is not inverted

        // Setup buffer cache to return buffers for sendrecv operations
        lenient().when(mockBufferCache.getBuffer()).thenReturn(new byte[8192]);
    }

    /**
     * Helper method to create a DcerpcPipeHandle with injected mocks
     * Uses mock to avoid constructor issues while allowing real method calls
     */
    private DcerpcPipeHandle createMockedDcerpcPipeHandle() throws Exception {
        // Create a mock without calling the constructor

                    return null;
                }

                // Check for nested map
                if (params.containsKey("nested") && params.get("nested") instanceof Map) {
                    @SuppressWarnings("unchecked")
                    Map<String, Object> nestedMap = (Map<String, Object>) params.get("nested");
                    if (nestedMap.containsKey("innerKey")) {

        }
    }

    @Nested
    @DisplayName("Deprecation Tests")
    class DeprecationTests {

        @Test
        @DisplayName("Handler class should be deprecated")
        void testDeprecatedAnnotation() {
            // Then
            assertTrue(Handler.class.isAnnotationPresent(Deprecated.class));
        }
    }

    @Nested
    @DisplayName("Integration Tests")

import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;

import jcifs.Address;
import jcifs.CIFSContext;

class UniAddressTest {

    @Nested
    @DisplayName("isDotQuadIP method tests")
    class IsDotQuadIPTests {

import java.security.SecureRandom;
import java.util.Arrays;
import java.util.Random;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.CsvSource;
import org.junit.jupiter.params.provider.ValueSource;
import org.mockito.Mock;