* limitations under the License.
 */
package okhttp3.internal.cache2

import assertk.assertThat
import assertk.assertions.isEqualTo
import java.io.File
import java.io.RandomAccessFile
import java.util.Random
import kotlin.test.assertFailsWith
import okio.Buffer
import okio.ByteString
import okio.ByteString.Companion.encodeUtf8
import okio.buffer
import okio.sink
import okio.source

     */
    public enum LoadBalancingStrategy {
        /** Round-robin distribution */
        ROUND_ROBIN,
        /** Least connections */
        LEAST_CONNECTIONS,
        /** Random selection */
        RANDOM,
        /** Failover only (use primary until failure) */
        FAILOVER_ONLY
    }

    /**
     * Represents a group of channels for a single session.
     */

  }

  @GwtIncompatible // Too slow in GWT (~3min fully optimized)
  public void testDivideRemainderEuclideanProperty() {
    // Use a seed so that the test is deterministic:
    Random r = new Random(0L);
    for (int i = 0; i < 1000000; i++) {
      long dividend = r.nextLong();
      long divisor = r.nextLong();
      // Test that the Euclidean property is preserved:
      assertThat(

Lkotlin/jvm/internal/TypeIntrinsics;
Lkotlin/jvm/internal/markers/KMappedMarker;
Lkotlin/jvm/internal/markers/KMutableList;
Lkotlin/random/AbstractPlatformRandom;
Lkotlin/random/FallbackThreadLocalRandom$implStorage$1;
Lkotlin/random/FallbackThreadLocalRandom;
Lkotlin/random/Random$Default;
Lkotlin/random/Random;
Lkotlin/ranges/IntProgression;
Lkotlin/ranges/IntProgressionIterator;
Lkotlin/ranges/IntRange;

  public void testRemovalNotification_get_basher() throws InterruptedException {
    int nTasks = 1000;
    int nThreads = 100;
    int getsPerTask = 1000;
    int nUniqueKeys = 10000;
    Random random = new Random(); // Randoms.insecureRandom();

    QueuingRemovalListener<String, String> removalListener = queuingRemovalListener();
    AtomicInteger computeCount = new AtomicInteger();

  public void testRemovalNotification_get_basher() throws InterruptedException {
    int nTasks = 1000;
    int nThreads = 100;
    int getsPerTask = 1000;
    int nUniqueKeys = 10000;
    Random random = new Random(); // Randoms.insecureRandom();

    QueuingRemovalListener<String, String> removalListener = queuingRemovalListener();
    AtomicInteger computeCount = new AtomicInteger();

import com.google.common.base.Supplier;
import com.google.common.collect.ImmutableList;
import com.google.common.primitives.Ints;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
import org.jspecify.annotations.NullUnmarked;

/** A benchmark comparing the various striped implementations. */

#### A Random Item { #a-random-item }

With `data.items()` we get an <abbr title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</abbr> with tuples containing the key and value for each dictionary item.

We convert this iterable object into a proper `list` with `list(data.items())`.

        void testMalformedBuffer() {
            // Given - buffer with random data
            byte[] buffer = new byte[10];
            for (int i = 0; i < buffer.length; i++) {
                buffer[i] = (byte) (Math.random() * 256);
            }

            // When & Then
            // Should either read successfully if random data happens to be 4,
            // or throw SMBProtocolDecodingException

        }

        this.localPid = (int) (Math.random() * 65536d);
        this.localTimeZone = TimeZone.getDefault();
        this.random = new SecureRandom();

        if (this.machineId == null) {
            final byte[] mid = new byte[32];
            this.random.nextBytes(mid);
            this.machineId = mid;
        }