* @param <OutputT> the type of the output (i.e. this) future
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
@SuppressWarnings(
    // Whenever both tests are cheap and functional, it's faster to use &, | instead of &&, ||
    "ShortCircuitBoolean")
abstract class AggregateFuture<InputT extends @Nullable Object, OutputT extends @Nullable Object>
    extends AggregateFutureState<OutputT> {

	return deleteBucketLocal(ctx, bucket, opts)
}

// client to talk to peer Nodes.
type remotePeerS3Client struct {
	node  Node
	pools []int

	// Function that returns the grid connection for this peer when initialized.
	// Will return nil if the grid connection is not initialized yet.
	gridConn func() *grid.Connection
}

// S3PeerSys - S3 peer call system.

 * supported. The elements can be any objects.
 *
 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *

import java.util.AbstractList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.RandomAccess;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.LongConsumer;
import java.util.stream.LongStream;
import javax.annotation.CheckForNull;

/**
 * An immutable array of {@code long} values, with an API resembling {@link List}.
 *

   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>
   *     String[] y = x.toArray(new String[0]);</pre>
   *
   * <p>Note that {@code toArray(new Object[0])} is identical in function to {@code toArray()}.
   *
   * @param a the array into which the elements of the queue are to be stored, if it is big enough;
   *     otherwise, a new array of the same runtime type is allocated for this purpose

import java.util.AbstractList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.RandomAccess;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.IntConsumer;
import java.util.stream.IntStream;
import javax.annotation.CheckForNull;

/**
 * An immutable array of {@code int} values, with an API resembling {@link List}.
 *

 * those tasks.
 *
 * <p>Submitted tasks have a happens-before order as defined in the Java Language Specification.
 * Tasks execute with the same happens-before order that the function calls to {@link #submit} and
 * {@link #submitAsync} that submitted those tasks had.
 *
 * <p>This class has limited support for cancellation and other "early completions":
 *
 * <ul>

*   Apply algorithm in scheduler by feature gates. ([#52723](https://github.com/kubernetes/kubernetes/pull/52723),[ @k82cn](https://github.com/k82cn))

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.indexer;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.function.Consumer;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.lang.ThreadUtil;
import org.codelibs.fess.Constants;

        "tfe_monitoring_internal.h",
        "tfe_op_attrs_internal.h",
        "tfe_tensor_debug_info_internal.h",
        "tfe_tensorhandle_internal.h",
    ],
    visibility = [
        "//tensorflow/core/function/runtime_client:__pkg__",
        "//tensorflow/python:__subpackages__",
    ],
)

cc_library(
    name = "c_api_internal",
    hdrs = [
        "c_api_experimental.h",
        "c_api_internal.h",