UnmarshalCheckpoint(blob []byte) error
	VerifyChecksum() error
}

// CheckpointManager provides the interface to manage checkpoint
type CheckpointManager interface {
	// CreateCheckpoint persists checkpoint in CheckpointStore. checkpointKey is the key for utilstore to locate checkpoint.
	// For file backed utilstore, checkpointKey is the file name to write the checkpoint data.

)

// General boilerplate.
const (
	// Boilerplate messages applicable all over the code base.

	// Action
	actionIfErrPersistsCheckBugList            = "If this error persists, " + actionCheckBugList
	actionIfErrSureCorrectConfigContactSupport = "If you are sure your configuration is correct, " + actionCheckBugList

  - Horizontal Pod Autoscaler not working
  - `kubectl top` not working (starting with Kubernetes 1.10)

 * invocations of Maven.
 */
public interface BuildResumptionDataRepository {
    /**
     * Persists any data needed to resume the build at a later point in time, using a new Maven invocation. This method
     * may also decide it is not needed or meaningful to persist such data, and return <code>false</code> to indicate
     * so.
     *
     * @param rootProject The root project that is being built.

import java.util.stream.Stream;

import org.apache.maven.project.MavenProject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * This implementation of {@link BuildResumptionDataRepository} persists information in a properties file. The file is
 * stored in the build output directory under the Maven execution root.
 */
@Named
@Singleton

import org.gradle.api.tasks.PathSensitivity
import org.gradle.api.tasks.SourceTask
import org.gradle.api.tasks.TaskAction

/**
 * Extracts meta-data from the Groovy and Java source files which make up the Gradle API. Persists the meta-data to a file
 * for later use in generating documentation for the DSL, such as by {@link gradlebuild.docs.dsl.docbook.AssembleDslDocTask}.
 */
@CacheableTask
abstract class ExtractDslMetaDataTask extends SourceTask {

       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   

import org.gradle.internal.serialize.graph.runReadOperation
import org.gradle.internal.serialize.graph.runWriteOperation
import java.io.Closeable
import java.util.concurrent.CopyOnWriteArrayList


/**
 * Persists side effects observed during build action execution
 * and restores them on a subsequent load from the cache.
 *
 * @see BuildTreeModelSideEffect
 */
internal
class BuildTreeModelSideEffectStore(

//
// If the telemetry mode is "off", Open is a no-op. Otherwise, it opens the
// counter file on disk and starts to mmap telemetry counters to the file.
// Open also persists any counters already created in the current process.
//
// Programs using telemetry should call Open exactly once.
func Open() {
	counter.Open()
}

// CountFlags creates a counter for every flag that is set

#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/fingerprint.pb.h"
#include "tsl/platform/statusor.h"

namespace tensorflow {
namespace metrics {
// The value of the cells for each metric persists across tests.

TEST(MetricsTest, TestSavedModelWrite) {
  EXPECT_EQ(SavedModelWriteApi("foo").value(), 0);
  SavedModelWriteApi("foo").IncrementBy(1);
  EXPECT_EQ(SavedModelWriteApi("foo").value(), 1);