// Then
            assertNotNull(ra1, "Random access with mode should not be null");
            assertNotNull(ra2, "Random access with sharing should not be null");
            assertSame(mockRandomAccess, ra1, "Should return expected random access");
            assertSame(mockRandomAccess, ra2, "Should return expected random access");
        }
    }

    @Nested

func (m *Man) BeforeUpdate(tx *gorm.DB) (err error) {
	if !tx.Statement.Changed("age") {
		return nil
	}
	return nil
}

func TestSubModel(t *testing.T) {
	man := Man{Age: 18, Name: "random-name"}
	if err := DB.Create(&man).Error; err != nil {
		t.Fatalf("unexpected error: %v", err)
	}

	if err := DB.Model(&man).Where("id = ?", man.ID).Updates(struct {
		Age int
	}{Age: 20}).Error; err != nil {

* Kubelet: Periodically reporting image pulling progress in log ([#26145](https://github.com/kubernetes/kubernetes/pull/26145), [@Random-Liu](https://github.com/Random-Liu))

    // Check the first 100,000 integers
    for (int i = 0; i < 100000; i++) {
      assertEquals(LongMath.isPrime(i), IntMath.isPrime(i));
    }

    // Then check 1000 deterministic pseudo-random int values.
    Random rand = new Random(1);
    for (int i = 0; i < 1000; i++) {
      int n = rand.nextInt(Integer.MAX_VALUE);
      assertEquals(LongMath.isPrime(n), IntMath.isPrime(n));
    }
  }

// Trivial collisions are avoided, but this is by no means a strong hash.
func hashDeterministicString(m map[string]string) uint64 {
	// Seed (random)
	crc := uint64(0xc2b40bbac11a7295)
	// Xor each value to make order independent
	for k, v := range m {
		// Separate key and value with an individual xor with a random number.
		// Add values of each, so they cannot be trivially collided.

import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;

import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Random;
import java.util.Set;
import java.util.concurrent.atomic.AtomicInteger;

import org.codelibs.fess.suggest.Suggester;
import org.codelibs.fess.suggest.settings.SuggestSettings;

The `EventListener.Factory` also makes it possible to limit metrics to a subset of calls. This one captures metrics on a random 10%:

```java
class MetricsEventListener extends EventListener {
  private static final Factory FACTORY = new Factory() {
    @Override public EventListener create(Call call) {
      if (Math.random() < 0.10) {
        return new MetricsEventListener(call);
      } else {
        return EventListener.NONE;

    utf8Lengths.put(MIN_SUPPLEMENTARY_CODE_POINT, 4);
    utf8Lengths.put(MAX_CODE_POINT, 4);

    Integer[] codePoints = utf8Lengths.keySet().toArray(new Integer[] {});
    StringBuilder sb = new StringBuilder();
    Random rnd = new Random();
    for (int trial = 0; trial < 100; trial++) {
      sb.setLength(0);
      int utf8Length = 0;
      for (int i = 0; i < 6; i++) {
        Integer randomCodePoint = codePoints[rnd.nextInt(codePoints.length)];

            // Check that secure nonces provide full diversity (entire nonce is random)
            String nonceHex = bytesToHex(nonce);
            nonceSet.add(nonceHex);
        }

        // Verify that secure nonces provide excellent diversity
        // With 100 nonces and 16 random bytes, we should have all unique nonces
        assertEquals(100, nonceSet.size(), "Secure nonces should all be unique");

        this(new SecureRandom(), DEFAULT_HASH_ALGORITHM, true);
    }

    /**
     * Constructs a PreauthIntegrityService with specified configuration.
     *
     * @param secureRandom the secure random generator
     * @param hashAlgorithm the hash algorithm to use
     * @param enforceIntegrity whether to enforce integrity checks
     */