NANOSECONDS.timedWait(lock, nanos);
          nanos -= System.nanoTime() - now; // subtract the actual time we waited
        }
      }
    }
  }

  /**
   * Checks if the executor has been shut down and increments the running task count.
   *
   * @throws RejectedExecutionException if the executor has been previously shutdown
   */
  private void startTask() {

     */
    @Override
    public int getFileIndex() {
        return 0;
    }

    @Override
    public int getType() {
        /*
         * 0x80000000 means hidden but SmbFile.isHidden() checks for $ at end
         */
        switch (this.type & 0xFFFF) {
        case 1:
            return SmbConstants.TYPE_PRINTER;
        case 3:
            return SmbConstants.TYPE_NAMED_PIPE;
        }

            throws ArtifactMetadataRetrievalException;

    /**
     * Get a list of available versions for an artifact in the remote deployment repository. This ignores any update
     * policy checks and mirrors and always retrieves the latest information from the given repository.
     *
     * @param artifact artifact we are interested in. Only <code>groupid</code> and <code>artifactId</code> are

     * during model building, based on the POM schema version.
     * <p>
     * The validation levels are cumulative, with higher versions including all validations
     * from lower versions plus additional checks specific to that version.
     */
    enum Version {
        /**
         * Base validation level that applies to all POM versions.
         * Includes fundamental structural validations.
         */
        BASE,

    return $retval
}

restart() {
    stop
    start
}

reload() {
    restart
}

force_reload() {
    restart
}

rh_status() {
    # run checks to determine if the service is running or use generic status
    status -p $pidfile $prog
}

rh_status_q() {
    rh_status >/dev/null 2>&1
}


case "$1" in
    start)

    }

    @ParameterizedTest(name = "Implementation is instance: {0}")
    @MethodSource("implementations")
    @DisplayName("Happy path: can create implementations and use type checks")
    void testImplementationsAreUsable(SessionSetupHandler impl) {
        // Arrange is provided by method source

        // Act & Assert
        assertNotNull(impl, "Implementation instance should not be null");

     */
    public FessBoot(final int port, final String contextPath) {
        super(port, contextPath);
    }

    /**
     * Prepares and returns the web application path.
     * Checks for the fess.webapp.path system property first, then falls back to the parent implementation.
     *
     * @return the web application path
     */
    @Override
    protected String prepareWebappPath() {

     *
     * @param secureRandom the secure random generator
     * @param hashAlgorithm the hash algorithm to use
     * @param enforceIntegrity whether to enforce integrity checks
     */
    public PreauthIntegrityService(SecureRandom secureRandom, int hashAlgorithm, boolean enforceIntegrity) {
        this.secureRandom = secureRandom != null ? secureRandom : new SecureRandom();

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

                                                     const TF_DataType* values,
                                                     int num_values);

// Checks the tensorflow::NodeDef built via the methods above to see if it can
// run on device_type.
TF_CAPI_EXPORT extern void TF_AttrBuilderCheckCanRunOnDevice(
    TF_AttrBuilder* builder, const char* device_type, TF_Status* status);