subtitle: null,\n    close: true,\n    body: null,\n    class: null,\n  }\n\n  /**\n   * Class Definition\n   * ====================================================\n   */\n  class Toasts {\n    constructor(element, config) {\n      this._config  = config\n\n      this._prepareContainer();\n\n      const initEvent = $.Event(Event.INIT)\n      $('body').trigger(initEvent)\n    }\n\n    // Public\n\n    create() {\n      var toast = $('<div class=\"toast\" role=\"alert\" aria-live=\"assertive\" aria...

import org.lastaflute.web.util.LaRequestUtil;
import org.lastaflute.web.util.LaResponseUtil;
import org.opensearch.script.Script;

public class SearchApiManager extends BaseApiManager {

    private static final Logger logger = LogManager.getLogger(SearchApiManager.class);

    protected static final String MESSAGE_FIELD = "message";

    protected static final String RESULT_FIELD = "result";

 * @author Nishant Thakkar
 * @author Sven Mawson
 * @since 1.0
 */
@GwtCompatible(emulated = true)
@ElementTypesAreNonnullByDefault
public final class Futures extends GwtFuturesCatchingSpecialization {

  // A note on memory visibility.
  // Many of the utilities in this class (transform, withFallback, withTimeout, asList, combine)
  // have two requirements that significantly complicate their design.

namespace tensorflow {

namespace {

using tsl::StatusOr;

// Represents a logical predicate, used as described in the algorithm overview
// above.
class Predicate {
 public:
  enum class Kind { kAnd, kOr, kNot, kAndRecurrence, kSymbol, kIntSymbol };

  virtual string ToString() const = 0;

  // An ID assigned to the Predicate at construction time.  Conceptually like a

 * @author Nishant Thakkar
 * @author Sven Mawson
 * @since 1.0
 */
@GwtCompatible(emulated = true)
@ElementTypesAreNonnullByDefault
public final class Futures extends GwtFuturesCatchingSpecialization {

  // A note on memory visibility.
  // Many of the utilities in this class (transform, withFallback, withTimeout, asList, combine)
  // have two requirements that significantly complicate their design.

	if storagehelpers.PersistentVolumeClaimHasClass(claim) {
		// The user asked for a class.
		return false, nil
	}

	class, err := util.GetDefaultClass(ctrl.classLister)
	if err != nil {
		return false, err
	} else if class == nil {
		logger.V(4).Info("Can not assign storage class to PersistentVolumeClaim: default storage class not found", "PVC", klog.KObj(claim))
		return false, nil
	}

from tensorflow.python.types import core

# Type aliases for supported attribute types.
_AttrValType = Union[List[int], bool, str, None]


class QuantizedModelTest(test.TestCase, parameterized.TestCase):
  """Base test class for TF-quant tests."""

  def setUp(self) -> None:
    super().setUp()

    # Many test cases for quantization involve creating and saving the input

.listingblock pre:not(.highlight),
.listingblock pre[class="highlight"],
.listingblock pre[class^="highlight "],
.listingblock pre.CodeRay,
.listingblock pre.prettyprint {
	background: var(--code-color);
}

.sidebarblock .literalblock pre,
.sidebarblock .listingblock pre:not(.highlight),
.sidebarblock .listingblock pre[class="highlight"],
.sidebarblock .listingblock pre[class^="highlight "],

    abstract T getA()

    abstract T getB()

    abstract T getC()

    abstract <S extends T> S getD()

    Class<T> getType() {
        return a.class
    }

    @SuppressWarnings("GrUnnecessaryPublicModifier")
    public <S extends T> Class<S> getOtherType() {
        return d.class as Class<S>
    }

    List<T> iterationOrder(T... elements) {
        return elements
    }

//
// is lowered to:
//
//   %sum0 = "tf.AddV2"(%0, %1)
//   %sum1 = "tf.AddV2"(%2, %3)
//   %sum2 = "tf.AddV2"(%sum0, %sum1)
//   %result = "tf.AddV2"(%sum2, %4)
//
class LowerAddNOp : public RewritePattern {
 public:
  explicit LowerAddNOp(MLIRContext *context)
      : RewritePattern(AddNOp::getOperationName(), 1, context,
                       {AddV2Op::getOperationName()}) {}