import org.opensearch.action.admin.indices.segments.PitSegmentsRequest;
import org.opensearch.action.bulk.BulkItemResponse;
import org.opensearch.action.bulk.BulkItemResponse.Failure;
import org.opensearch.action.bulk.BulkRequest;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.bulk.BulkResponse;
import org.opensearch.action.delete.DeleteRequest;

	return reduceWriteQuorumErrs(ctx, g.Wait(), objectOpIgnoredErrs, writeQuorum)
}

// DeleteObjects deletes objects/versions in bulk, this function will still automatically split objects list
// into smaller bulks if some object names are found to be duplicated in the delete list, splitting
// into smaller bulks will avoid holding twice the write lock of the duplicated object names.

   * {@code Set}.
   *
   * <p>The function is applied lazily, invoked when needed. This is necessary for the returned
   * multimap to be a view, but it means that the function will be applied many times for bulk
   * operations like {@link Multimap#containsValue} and {@code Multimap.toString()}. For this to
   * perform well, {@code function} should be fast. To avoid lazy evaluation when the returned

			t.Fatalf("TestXLStorage %d:  Expected the error to be : \"%v\", got: \"%v\".", i+1, testCase.expectedErr, err)
		}
	}
}

// TestXLStorageDeleteVersion will test if version deletes and bulk deletes work as expected.
func TestXLStorageDeleteVersion(t *testing.T) {
	// create xlStorage test setup
	xl, _, err := newXLStorageTestSetup(t)
	if err != nil {

		objects[i].ObjectName = encodeDirObject(objects[i].ObjectName)

		derrs[i] = checkDelObjArgs(ctx, bucket, objects[i].ObjectName)
		objSets.Add(objects[i].ObjectName)
	}

	// Acquire a bulk write lock across 'objects'
	multiDeleteLock := z.NewNSLock(bucket, objSets.ToSlice()...)
	lkctx, err := multiDeleteLock.GetLock(ctx, globalOperationTimeout)
	if err != nil {
		for i := range derrs {

     * which are awaiting cleanup.
     */
    volatile int count;

    /**
     * Number of updates that alter the size of the table. This is used during bulk-read methods to
     * make sure they see a consistent snapshot: If modCounts change during a traversal of segments
     * computing size or checking containsValue, then we might have an inconsistent view of state so

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