crypto.MetaAlgorithm: crypto.InsecureSealAlgorithm,
				crypto.MetaMultipart: "1",
			}
			if !isMulti {
				delete(m, crypto.MetaMultipart)
			}
			return m
		}
	)

	// Single part object tests

	mkSPObj := func(s int64) ObjectInfo {
		return ObjectInfo{
			Size:        getEncSize(s),
			UserDefined: udMap(false),
		}
	}

	testSP := []struct {
		decSz int64

        response.readParametersWireFormat(buffer, 0, 8);
        assertEquals(status, getStatus(response));
    }

    @Test
    @DisplayName("Test readDataWireFormat with single share")
    void testReadDataWireFormatSingleShare() throws Exception {
        // Prepare test data
        String shareName = "SHARE1";
        int shareType = 0x00000000; // Disk share

  }

  /**
   * This is an extraordinary test case. Here's what it's trying to simulate.
   * - 2 requests happen concurrently to a host that can be coalesced onto a single connection.
   * - Both request discover no existing connection. They both make a connection.
   * - The first request "wins the race".

        timeoutConfig.setValue("123");
        optimizedHelper.setProperty(bean, "timeout", Long.class, timeoutConfig);
    }

    /**
     * Benchmark that tests multiple property configurations in a single operation.
     * This simulates a more realistic scenario where multiple properties are set on a bean.
     */
    @Benchmark
    public void benchmarkOriginalHelperMultipleProperties() throws Exception {

import java.util.Map;
import java.util.Objects;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * A collection that associates an ordered pair of keys, called a row key and a column key, with a
 * single value. A table may be sparse, with only a small fraction of row key / column key pairs
 * possessing a corresponding value.
 *
 * <p>The mappings corresponding to a given row key may be viewed as a {@link Map} whose keys are

        pairs.add(new AvTargetName("TARGET"));
        pairs.add(new AvTimestamp(System.currentTimeMillis()));
        pairs.add(new AvFlags(0));
        pairs.add(new AvSingleHost(new byte[48])); // Dummy single host data

        type2.setTargetInformation(AvPairs.encode(pairs));

        return type2;
    }

    /**
     * Helper method to create a mock context with specific LanMan compatibility level

  public void testSubList_ofSubListNonEmpty() {
    List<E> subList = getList().subList(0, 2).subList(1, 2);
    assertEquals(
        "subList(0, 2).subList(1, 2) "
            + "should be a single-element list of the element at index 1",
        singletonList(getOrderedElements().get(1)),
        subList);
  }

  @CollectionSize.Require(absent = {ZERO})
  public void testSubList_size() {

  public void testSubList_ofSubListNonEmpty() {
    List<E> subList = getList().subList(0, 2).subList(1, 2);
    assertEquals(
        "subList(0, 2).subList(1, 2) "
            + "should be a single-element list of the element at index 1",
        singletonList(getOrderedElements().get(1)),
        subList);
  }

  @CollectionSize.Require(absent = {ZERO})
  public void testSubList_size() {

	"gorm.io/gorm/logger"
	"gorm.io/gorm/schema"
)

// for Config.cacheStore store PreparedStmtDB key
const preparedStmtDBKey = "preparedStmt"

// Config GORM config
type Config struct {
	// GORM perform single create, update, delete operations in transactions by default to ensure database data integrity
	// You can disable it by setting `SkipDefaultTransaction` to true
	SkipDefaultTransaction    bool

    private final int scale;

    private Scale(int scale) {
      checkArgument(scale > 0, "Quantile scale must be positive");
      this.scale = scale;
    }

    /**
     * Specifies a single quantile index to be calculated, i.e. the k in the kth q-quantile.
     *
     * @param index the quantile index, which must be in the inclusive range [0, q] for q-quantiles
     */
    public ScaleAndIndex index(int index) {