* {@link jcifs.smb1.smb1.SmbFile} for a detailed description and examples of
     * the smb URL syntax.
    <p>
    The second parameter specifies how the file should be shared. If
    <code>SmbFile.FILE_NO_SHARE</code> is specified the client will
    have exclusive access to the file. An additional open command
    from jCIFS or another application will fail with the "file is being

			testWrite{"hello\n", 6, nil},
			testClose{nil},
		},
	}, {
		// This file was produced using GNU tar v1.26:
		//	echo "Slartibartfast" > file.txt
		//	ln file.txt hard.txt
		//	tar -b 1 --format=ustar -c -f hardlink.tar file.txt hard.txt
		file: "testdata/hardlink.tar",
		tests: []testFnc{
			testHeader{Header{
				Typeflag: TypeReg,
				Name:     "file.txt",
				Size:     15,
				Mode:     0644,

#### Docker Compose { #docker-compose }

You could be deploying to a **single server** (not a cluster) with **Docker Compose**, so you wouldn't have an easy way to manage replication of containers (with Docker Compose) while preserving the shared network and **load balancing**.

Then you could want to have **a single container** with a **process manager** starting **several worker processes** inside.

---

            }
            if (path == null) {
                path = System.getenv("path");
            }
            final List<String> pathList = new ArrayList<>();
            pathList.add("/usr/share/fess/bin");
            if (path != null) {
                stream(path.split(File.pathSeparator)).of(stream -> stream.map(String::trim).forEach(s -> pathList.add(s)));
            }
            if (logger.isDebugEnabled()) {

 * support {@code remove()}.
 *
 * @author Jared Levy
 */
@GwtCompatible
@NullMarked
public class MapsTransformValuesUnmodifiableIteratorTest extends MapInterfaceTest<String, String> {
  // TODO(jlevy): Move shared code of this class and MapsTransformValuesTest
  // to a superclass.

  public MapsTransformValuesUnmodifiableIteratorTest() {
    super(true, true, false /*supportsPut*/, true, true, false);
  }

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating

  private final ImmutableList<String> parts;

  /**
   * Cached value of #publicSuffixIndex(). Do not use directly.
   *
   * <p>Since this field isn't {@code volatile}, if an instance of this class is shared across
   * threads before it is initialized, then each thread is likely to compute their own copy of the
   * value.
   */
  @SuppressWarnings("Immutable")
  @LazyInit

		<groupId>org.codelibs.fess</groupId>
		<artifactId>fess-parent</artifactId>
		<version>15.2.0</version>
		<relativePath />
	</parent>
	<properties>
		<!-- DEB & RPM build -->
		<packaging.fess.home.dir>/usr/share/fess</packaging.fess.home.dir>
		<packaging.fess.app.dir>${packaging.fess.home.dir}/app</packaging.fess.app.dir>
		<packaging.fess.bin.dir>${packaging.fess.home.dir}/bin</packaging.fess.bin.dir>

   There used to be two different mechanisms - one for regular S3 objects and one for IAM data.
- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.
   The new KMS-based approach can use a key derivation function that is orders of magnitudes
   cheaper w.r.t. memory and CPU.

	"io"
	"sync"
	"time"

	"github.com/minio/madmin-go/v3"
)

// naughtyDisk wraps a POSIX disk and returns programmed errors
// specified by the developer. The purpose is to simulate errors
// that are hard to simulate in practice like DiskNotFound.
// Programmed errors are stored in errors field.
type naughtyDisk struct {
	// The real disk
	disk StorageAPI
	// Programmed errors: API call number => error to return