such races can in turn lead to arbitrary memory corruption.
</p>

<p>
Examples of incorrect synchronization are given in the
“Incorrect synchronization” section below.
</p>

<p>
Examples of the limitations on implementations are given in the
“Incorrect compilation” section below.
</p>

<h2 id="synchronization">Synchronization</h2>

<h3 id="init">Initialization</h3>

<p>

  - IMPORTANT NOTE: if the first import fails, you have to select and apply `Synchronization disabled`, then repeat the step above.
    Otherwise, TeamCity complains "Can't find the previous revision, please commit current settings first".
  - If anything bad happens, feel free to delete the project you created and retry (you may need to apply `Synchronization disabled` before deleting it).  
    

    deps = [
        ":cleanup",
        "//tensorflow/c:env",
        "//tensorflow/c:logging",
        "//tensorflow/c:tf_status",
        "@com_google_absl//absl/base:core_headers",
        "@com_google_absl//absl/synchronization",
    ],
)

tf_cc_test(
    name = "ram_file_block_cache_test",
    size = "small",
    srcs = ["ram_file_block_cache_test.cc"],
    deps = [
        ":ram_file_block_cache",

 */

package gradlebuild.integrationtests.tasks

import org.gradle.api.tasks.CacheableTask


/**
 * A test that provides an IDE as environment for checking IDE and Gradle behavior during synchronization process.
 * These tests are running using `forking` executor, since current Gradle distribution has to be used as a Gradle version for IDE.
 */
@CacheableTask
abstract class SmokeIdeTest : DistributionTest() {

 * reentrant, so a thread may enter a monitor any number of times, and then must leave the same
 * number of times. The <i>enter</i> and <i>leave</i> operations have the same synchronization
 * semantics as the built-in Java language synchronization primitives.
 *
 * <p>A call to any of the <i>enter</i> methods with <b>void</b> return type should always be

	defer ticker.Stop()
	for _, obs := range observations {
		// Send observations once every 1ms, to simulate delay between
		// observations. This is to test the channel based
		// synchronization used internally.
		select {
		case <-ticker.C:
			ttfbHist.With(prometheus.Labels{"api": obs.label}).Observe(obs.val)
		}
	}

	metrics := getHistogramMetrics(ttfbHist, getBucketTTFBDistributionMD(), false)

 *       {@code equals()}, {@code hashCode()}, and graph equivalence</a>
 *   <li><a href="https://github.com/google/guava/wiki/GraphsExplained#synchronization">
 *       Synchronization policy</a>
 *   <li><a href="https://github.com/google/guava/wiki/GraphsExplained#notes-for-implementors">Notes
 *       for implementors</a>
 * </ul>
 *
 * @author James Sexton

	var centralOpts clioptions.CentralControlPlaneOptions
	var multiXdsOpts multixds.Options

	statusCmd := &cobra.Command{
		Use:   "proxy-status [<type>/]<name>[.<namespace>]",
		Short: "Retrieves the synchronization status of each Envoy in the mesh",
		Long: `
Retrieves last sent and last acknowledged xDS sync from Istiod to each Envoy in the mesh
`,
		Example: `  # Retrieve sync status for all Envoys in a mesh

A queue is used to give a few properties:
* Ability to serially process updates received from a variety of different sources. This avoids need for other synchronization mechanisms like mutexes.
* Correctness at startup; with the sequencing above, items are only processed once all informers are synced. This means queries will not return stale data at startup.
* Deduping of identical events

 *       {@code equals()}, {@code hashCode()}, and graph equivalence</a>
 *   <li><a href="https://github.com/google/guava/wiki/GraphsExplained#synchronization">
 *       Synchronization policy</a>
 *   <li><a href="https://github.com/google/guava/wiki/GraphsExplained#notes-for-implementors">Notes
 *       for implementors</a>
 * </ul>
 *
 * @author James Sexton