}

    /**
     * Test for SearchList
     * */
    private void testReadSearchList() {
        final List<Map<String, Object>> results = getSearchResults();
        assertTrue(results.size() >= 1);
        logger.info("results: {}", results);
        Map<String, Object> item = results.get(0);
        logger.info("item: {}", item);
        assertTrue(item.containsKey("content_title"));

        /**
         * Process a single search hit and optionally add results to the accumulator.
         *
         * @param hit The search hit to process
         * @param accumulator The list to accumulate results
         */
        void process(SearchHit hit, List<T> accumulator);
    }

    /**
     * Performs a scroll-based search and collects results into a list.
     *
     * @param <T> The type of items to collect

import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings

 * search, display, and navigation through related query results.
 */
public class RelatedQueryPager implements Serializable {
    private static final long serialVersionUID = 1L;

    /**
     * Default current page number for pagination.
     */
    public static final int DEFAULT_CURRENT_PAGE_NUMBER = 1;

    /**
     * Total number of records in the result set.
     */
    private int allRecordCount;

    /**

-   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs

## How to Test Your Changes to TensorFlow

You may check how your changes will affect TensorFlow by:

1. Creating a PR and observing the presubmit test results
2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job

/**
 * SMB2 SRV_COPYCHUNK_COPY response data structure. This structure contains the result
 * of a server-side copy operation.
 *
 * @author mbechler
 *
 */
public class SrvCopyChunkCopyResponse implements Decodable {

    /**
     * Constructs a new SrvCopyChunkCopyResponse.
     * This response contains the results of a server-side copy operation.
     */
    public SrvCopyChunkCopyResponse() {
    }

	if err != nil {
		return SpeedTestResult{}, err
	}

	var result SpeedTestResult
	err = gob.NewDecoder(waitReader).Decode(&result)
	if err != nil {
		return result, err
	}
	if result.Error != "" {
		return result, errors.New(result.Error)
	}
	return result, nil
}

		}
		if b {
			return FromBool(true), nil
		}
		result = result || b
	}
	return FromBool(result), nil
}

func (e *AndCondition) evalNode(r Record, tableAlias string) (*Value, error) {
	if len(e.Condition) == 1 {
		// In this case, result does not have to be boolean
		return e.Condition[0].evalNode(r, tableAlias)
	}

	// Compute AND of conditions
	result := true
	for _, ex := range e.Condition {

                return mockResource1;
            }
        };

        // When
        SmbResource result = iterator.next();

        // Then
        assertTrue(adaptCalled[0], "Adapt method should have been called");
        assertNotNull(result, "Result should not be null");
        assertEquals("file1.txt", result.getName());
    }

	ListObjectsV2(ctx context.Context, bucket, prefix, continuationToken, delimiter string, maxKeys int, fetchOwner bool, startAfter string) (result ListObjectsV2Info, err error)
	ListObjectVersions(ctx context.Context, bucket, prefix, marker, versionMarker, delimiter string, maxKeys int) (result ListObjectVersionsInfo, err error)