*
   *   o CLEAN lines track a cache entry that has been successfully published and may be read. A
   *     publish line is followed by the lengths of each of its values.
   *
   *   o READ lines track accesses for LRU.
   *
   *   o REMOVE lines track entries that have been deleted.
   *
   * The journal file is appended to as cache operations occur. The journal may occasionally be

        dnsDomainInfo.dns_forest.buffer = null;
        dnsDomainInfo.domain_guid = new rpc.uuid_t();
        dnsDomainInfo.domain_guid.node = new byte[6]; // Cannot be null as encode() accesses it
        dnsDomainInfo.sid = null;

        dnsDomainInfo.encode(mockNdrBuffer);

        // Verify all fields are encoded in order
        // enc_ndr_short(0) is called 8 times total in the specific order

      for (int i = delegateIndex; i < delegates.size(); i++) {
        if (delegates.get(i).setFuture(inputFuture)) {
          recordCompletion();
          // this is technically unnecessary, but should speed up later accesses
          delegateIndex = i + 1;
          return;
        }
      }
      // If all the delegates were complete, no reason for the next listener to have to

     */
    @GuardedBy("this")
    final Queue<ReferenceEntry<K, V>> writeQueue;

    /**
     * A queue of elements currently in the map, ordered by access time. Elements are added to the
     * tail of the queue on access (note that writes count as accesses).
     */
    @GuardedBy("this")
    final Queue<ReferenceEntry<K, V>> accessQueue;

    /** Accumulates cache statistics. */

   * higher than performing just the operation without enforcing the capacity constraint.
   *
   * This implementation uses a per-segment queue to record a memento of the additions, removals,
   * and accesses that were performed on the map. The queue is drained on writes and when it exceeds
   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit

        mode. In this mode, the table resource can only be accessed via resource
        handles (not resource names) and will be deleted automatically when all
        resource handles pointing to it are gone.
*   `tf.data`:
    *   Introduce the `tf.data.experimental.at` API which provides random access
        for input pipelines that consist of transformations that support random

 * limitations under the License.
 */
@file:Suppress("deprecation")
package gradlebuild.basics.accessors

import org.gradle.api.Project
import org.gradle.api.file.SourceDirectorySet

import org.gradle.kotlin.dsl.*
import org.jetbrains.kotlin.gradle.dsl.KotlinJvmProjectExtension


// TODO these accessors should be generated - https://github.com/gradle/gradle/issues/3191

            }
            ReplacedAccessor accessor = e.getValue();
            return accessor.getBinaryCompatibility() == BinaryCompatibility.ACCESSORS_REMOVED;
        });
        if (!removedAccessors.isEmpty()) {
            String formattedKept = CollectionUtils.join("\n", keptAccessors.keySet());

				readableClaim, _ = accessKey.Claims[rc].(string)
			}
			openIDUserAccessKeys = madmin.OpenIDUserAccessKeys{
				MinioAccessKey: accessKey.ParentUser,
				ID:             id,
				ReadableName:   readableClaim,
			}
		}
		svcAccInfo := madmin.ServiceAccountInfo{
			AccessKey:  accessKey.AccessKey,
			Expiration: &accessKey.Expiration,
		}
		if accessKey.IsServiceAccount() {

	// 2. Check that svc account info can be queried
	c.assertSvcAccInfoQueryable(ctx, userAdmClient, accessKey, cr.AccessKey, false)

	// 3. Check S3 access
	c.assertSvcAccS3Access(ctx, s, cr, bucket)

	// 5. Check that service account can be deleted.
	c.assertSvcAccDeletion(ctx, s, userAdmClient, accessKey, bucket)