* such as those associated with files and directories. The Windows OS
 * determines which users have the necessary permissions to access objects
 * based on these entries.
 * <p>
 * To fully understand the information exposed by this class a description
 * of the access check algorithm used by Windows is required. The following
 * is a basic description of the algorithm. For a more complete description

	"github.com/minio/pkg/v3/policy"
)

// supportedHeadGetReqParams - supported request parameters for GET and HEAD presigned request.
var supportedHeadGetReqParams = map[string]string{
	"response-expires":             xhttp.Expires,
	"response-content-type":        xhttp.ContentType,
	"response-cache-control":       xhttp.CacheControl,
	"response-content-encoding":    xhttp.ContentEncoding,

      throws InterruptedException {
    while (!isThreadBlockedOnInstanceOf(t, blocker)) {
      if (t.getState() == Thread.State.TERMINATED) {
        throw new RuntimeException("Thread " + t + " exited unexpectedly");
      }
      Thread.sleep(1);
    }
  }

  private static boolean isThreadBlockedOnInstanceOf(Thread t, Class<?> blocker) {

var (
	// Minio endpoint (for STS API)
	stsEndpoint string

	// User account credentials
	minioUsername string
	minioPassword string

	// Display credentials flag
	displayCreds bool

	// Credential expiry duration
	expiryDuration time.Duration

	// Bucket to list
	bucketToList string

	// Session policy file (FIXME: add support in minio-go)
	sessionPolicyFile string
)

func init() {

  }

  /**
   * Returns a {@link NetworkBuilder} initialized with all properties queryable from {@code
   * network}.
   *
   * <p>The "queryable" properties are those that are exposed through the {@link Network} interface,
   * such as {@link Network#isDirected()}. Other properties, such as {@link
   * #expectedNodeCount(int)}, are not set in the new builder.
   */

   *
   * <ol>
   *   <li>calls {@link ExecutorService#shutdown()}, disabling acceptance of new submitted tasks.
   *   <li>awaits executor service termination for half of the specified timeout.
   *   <li>if the timeout expires, it calls {@link ExecutorService#shutdownNow()}, cancelling
   *       pending tasks and interrupting running tasks.
   *   <li>awaits executor service termination for the other half of the specified timeout.
   * </ol>
   *

namespace tensorflow {
class EagerExecutor;
class EagerContext;
class CustomDevice;
class CustomDeviceOpHandler;
class Device;

// LINT.IfChange
// Note: Keep in sync with exported copy of enum in eager/c_api.h.
enum ContextDevicePlacementPolicy {
  // Running operations with input tensors on the wrong device will fail.
  DEVICE_PLACEMENT_EXPLICIT = 0,

			z.ContentEncoding, bts, err = msgp.ReadStringBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "ContentEncoding")
				return
			}
		case "Expires":
			z.Expires, bts, err = msgp.ReadTimeBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "Expires")
				return
			}
		case "CacheControl":
			z.CacheControl, bts, err = msgp.ReadStringBytes(bts)
			if err != nil {

 * such as those associated with files and directories. The Windows OS
 * determines which users have the necessary permissions to access objects
 * based on these entries.
 * <p>
 * To fully understand the information exposed by this class a description
 * of the access check algorithm used by Windows is required. The following
 * is a basic description of the algorithm. For a more complete description

performance limitations.

## Multi-Tenant environments

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the