protected int numOfThreads = 1;

        /**
         * Whether to run in cleanup mode to remove old thumbnails.
         */
        @Option(name = "-c", aliases = "--cleanup", usage = "Clean-Up mode")
        protected boolean cleanup;

        /**
         * Default constructor for command-line options.
         */
        protected Options() {

    toggle:
      icon: material/lightbulb
      name: Switch to dark mode
  - media: '(prefers-color-scheme: dark)'
    scheme: slate
    primary: teal
    accent: amber
    toggle:
      icon: material/lightbulb-outline
      name: Switch to system preference
  features:
  - content.code.annotate
  - content.code.copy
  - content.footnote.tooltips
  - content.tabs.link
  - content.tooltips
  - navigation.footer

labels.chat_error_model_not_found=The AI model was not found. Please contact the administrator.
labels.chat_error_invalid_response=Received an invalid response from the AI service. Please try again.
labels.chat_error_connection=Unable to connect to the AI service. Please check the network connection.
labels.chat_sources=Sources
labels.chat_ai_mode=AI Mode
labels.chat_status_ready=AI Assistant

if [[ `uname -s | grep -P '^MSYS_NT'` ]]; then
  if [[ "$TFCI_GITHUB_ACTIONS" != "true" ]]; then
    # Docker on Windows doesn't support the `host` networking mode, and so
    # port-forwarding is required for the container to detect it's running on GCE.
    export IP_ADDR=$(powershell -command "(Get-NetIPAddress -AddressFamily IPv4 -InterfaceAlias 'vEthernet (nat)').IPAddress")

labels.chat_error_model_not_found=The AI model was not found. Please contact the administrator.
labels.chat_error_invalid_response=Received an invalid response from the AI service. Please try again.
labels.chat_error_connection=Unable to connect to the AI service. Please check the network connection.
labels.chat_sources=Sources
labels.chat_ai_mode=AI Mode
labels.chat_status_ready=AI Assistant

## Keras

Keras is a framework built on top of the TensorFlow. See more details on the Keras [website](https://keras.io/).

### Major Features and Improvements

* `tf.keras`
    * `Model.compile` now support `steps_per_execution='auto'` as a parameter, allowing automatic tuning of steps per execution during `Model.fit`,
    `Model.predict`, and `Model.evaluate` for a significant performance boost.

## Thanks to our Contributors

    //                                               -------
    /**
     * Displays the details of a web crawler configuration.
     *
     * @param crudMode the CRUD mode for the operation
     * @param id the ID of the web config to display
     * @return HTML response for the web config details page
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })

            uv.lock
      - name: Install Dependencies
        run: uv sync --no-dev --group tests --extra all
      - name: CodSpeed benchmarks
        uses: CodSpeedHQ/action@v4
        with:
          mode: simulation
          run: uv run --no-sync pytest tests/benchmarks --codspeed

  coverage-combine:
    needs:
      - test
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context

    //                                               Details
    //                                               -------
    /**
     * Show the details page.
     * @param crudMode The CRUD mode.
     * @param id The data config ID.
     * @return The HTML response.
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse details(final int crudMode, final String id) {

  private static LittleEndianBytes makeGetter() {
    try {
      /*
       * UnsafeByteArray uses Unsafe.getLong() in an unsupported way, which is known to cause
       * crashes on Android when running in 32-bit mode. For maximum safety, we shouldn't use
       * Unsafe.getLong() at all, but the performance benefit on x86_64 is too great to ignore, so
       * as a compromise, we enable the optimization only on platforms that we specifically know to