import java.util.concurrent.atomic.AtomicInteger;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/** Unit tests for CacheBuilder. */
@GwtCompatible
// We are intentionally testing the TimeUnit overloads, too.
@SuppressWarnings("LongTimeUnit_ExpireAfterWrite_Seconds")
@NullUnmarked
public class CacheBuilderTest extends TestCase {

  public void testNewBuilder() {

import java.util.concurrent.atomic.AtomicInteger;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/** Unit tests for CacheBuilder. */
@GwtCompatible
// We are intentionally testing the TimeUnit overloads, too.
@SuppressWarnings("LongTimeUnit_ExpireAfterWrite_Seconds")
@NullUnmarked
public class CacheBuilderTest extends TestCase {

  public void testNewBuilder() {

    fun addInterceptor(interceptor: Interceptor) =
      apply {
        interceptors += interceptor
      }

    @JvmName("-addInterceptor") // Prefix with '-' to prevent ambiguous overloads from Java.
    inline fun addInterceptor(crossinline block: (chain: Interceptor.Chain) -> Response) =
      addInterceptor(Interceptor { chain -> block(chain) })

    /**

<p>
it can happen that <code>g</code> prints <code>2</code> and then <code>0</code>.
</p>

<p>
This fact invalidates a few common idioms.
</p>

<p>
Double-checked locking is an attempt to avoid the overhead of synchronization.
For example, the <code>twoprint</code> program might be
incorrectly written as:
</p>

<pre>
var a string
var done bool

func setup() {
	a = "hello, world"
	done = true

	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// We have to adjust the size of encrypted parts since encrypted parts
	// are slightly larger due to encryption overhead.
	// Further, we have to adjust the ETags of parts when using SSE-S3.
	// Due to AWS S3, SSE-S3 encrypted parts return the plaintext ETag
	// being the content MD5 of that particular part. This is not the

- Introduction of the pod overhead feature to the scheduler. This functionality is alpha-level as of

// The threshold of 8 bytes balances initialization cost against per-byte
// search cost, performing well across all charset sizes.
//
// More complex heuristics (e.g., different thresholds per charset size)
// add branching overhead that eats away any theoretical improvements.
func shouldUseASCIISet(bufLen int) bool {
	return bufLen > 8
}

// containsRune is a simplified version of strings.ContainsRune

            documents.add(doc);
        }

        final String result = client.testBuildContext(documents);
        assertTrue(result.length() <= 300); // some overhead from header text
    }

    // ========== P6: generateSummaryResponse size limit and HTML stripping tests ==========

    @Test
    public void test_generateSummaryResponse_stripsHtmlFromContent() {

	return ARNPrefix + kmsID
}

// DecryptETags decryptes the ETag of all ObjectInfos using the KMS.
//
// It adjusts the size of all encrypted objects since encrypted
// objects are slightly larger due to encryption overhead.
// Further, it decrypts all single-part SSE-S3 encrypted objects
// and formats ETags of SSE-C / SSE-KMS encrypted objects to
// be AWS S3 compliant.
//

- File descriptors are leaked in docker v1.11 ([#275](https://github.com/docker/containerd/issues/275))
- Additional memory overhead per container in docker v1.11 ([#21737](https://github.com/docker/docker/issues/21737))
- [List of upstream fixes](https://github.com/docker/docker/compare/v1.10.3...runcom:docker-1.10.3-stable) for docker v1.10 identified by RedHat