}

  Stopwatch() {
    this.ticker = Ticker.systemTicker();
  }

  Stopwatch(Ticker ticker) {
    this.ticker = checkNotNull(ticker, "ticker");
  }

  /**
   * Returns {@code true} if {@link #start()} has been called on this stopwatch, and {@link #stop()}
   * has not been called since the last call to {@code start()}.
   */
  public boolean isRunning() {
    return isRunning;
  }

  /**

        addFessCustomSystemProperties(cmdList, fessConfig.getJobSystemPropertyFilterPattern());
        addSystemProperty(cmdList, Constants.FESS_CONF_PATH, null, null);
        cmdList.add("-Dfess." + getExecuteType() + ".process=true");
        cmdList.add("-Dfess.log.path=" + (logFilePath != null ? logFilePath : systemHelper.getLogFilePath()));
        addSystemProperty(cmdList, "fess.log.name", getLogName("fess"), getLogName(StringUtil.EMPTY));

    for (Class<? super T> itf : allInterfaceClasses) {
      Iterator<Class<?>> iterator = interfaceClasses.iterator();
      boolean addToSet = true;
      while (iterator.hasNext()) {
        Class<?> current = iterator.next();
        if (current == itf || itf.isAssignableFrom(current)) {
          // Skip any super interface of the ones that are already included.

  }

  @Override
  public @Nullable V get(@Nullable Object key) {
    return delegate.get(key);
  }

  @Override
  public boolean equals(@Nullable Object object) {
    if (object == this) {
      return true;
    }
    if (object instanceof ImmutableEnumMap) {
      object = ((ImmutableEnumMap<?, ?>) object).delegate;
    }
    return delegate.equals(object);
  }

  @Override

        super(metadata, path, timestamp);
    }

    private static Metadata createMetadata(Artifact artifact) {
        Snapshot snapshot = new Snapshot();
        snapshot.setLocalCopy(true);
        Versioning versioning = new Versioning();
        versioning.setSnapshot(snapshot);

        Metadata metadata = new Metadata();
        metadata.setVersioning(versioning);

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

    @Override
    protected void setUp(TestInfo testInfo) throws Exception {
        super.setUp(testInfo);
        final DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
        factory.setNamespaceAware(true);
        final DocumentBuilder builder = factory.newDocumentBuilder();
        try (InputStream is = getClass().getClassLoader().getResourceAsStream("../webapp/WEB-INF/web.xml")) {
            if (is == null) {

    throwIf(closed);
    return options.contains(TestOption.AVAILABLE_ALWAYS_ZERO) ? 0 : in.available();
  }

  @Override
  public void close() throws IOException {
    closed = true;
    throwIf(CLOSE_THROWS);
    in.close();
  }

  private void throwIf(TestOption option) throws IOException {
    throwIf(options.contains(option));
  }

         * Any error that occurred during processing; null if the request was successful
         */
        Throwable error) {

    /**
     * Determines if the request was processed successfully.
     *
     * @return true if no error occurred during processing (error is null), false otherwise
     */
    public boolean isSuccess() {
        return error == null;
    }

TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config=windows_x86_cpu_2022"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=windows_x86_cpu_2022
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES="tensorflow_cpu"