*       module path, but is also compatible with placement on the class path. Compatibility can
     *       be achieved, for example, by repeating in the {@code META-INF/services/} directory the services
     *       that are declared in the {@code module-info.class} file. In that case, the path type can be chosen
     *       by the plugin.</li>

   *
   * <p>Example usage:
   *
   * {@snippet :
   * ClosingFuture<List<Row>> rowsFuture =
   *     queryFuture.transform((closer, result) -> result.getRows(), executor);
   * }
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See
   * the discussion in the {@link ListenableFuture#addListener} documentation. All its warnings

~~ under the License.

  ---
  Offline Mode Design
  ---
  John Casey
  ---
  2005-04-08
  ---

Offline Mode Design

* UPDATE: 18-April-2005

  We cannot take the approach outlined below of detecting which remote
  repositories are "really" offline, since offline mode is more of a behavior,
  and this will lead to counter-intuitive results. A different feature may exist

// the buffered reader to read from r.
// Calling Reset on the zero value of [Reader] initializes the internal buffer
// to the default size.
// Calling b.Reset(b) (that is, resetting a [Reader] to itself) does nothing.
func (b *Reader) Reset(r io.Reader) {
	// If a Reader r is passed to NewReader, NewReader will return r.
	// Different layers of code may do that, and then later pass r

        provably correct at compile time.
*   `tf.saved_model.save`:
    *   When saving a model, not specifying a namespace whitelist for custom ops
        with a namespace will now default to allowing rather than rejecting them
        all.
*   Deterministic Op Functionality (enabled by setting the environment variable
    `TF_DETERMINISTIC_OPS` to `"true"` or `"1"`):
    *   Add determinsitic GPU implementations of:

//// tab | Info

This is a not complete and not normative list of (mostly) technical terms seen in the docs. It may be helpful for the prompt designer to figure out for which terms the LLM needs a helping hand. For example when it keeps reverting a good translation to a suboptimal translation. Or when it has problems conjugating/declinating a term in your language.

See e.g. section `### List of English terms and their preferred German translations` in `docs/de/llm-prompt.md`.

            disconnect(true);

            if (retries >= maxRetries) {
                break;
            }

            if (request != null) {
                log.debug("Resetting request");
                request.reset();
            }
            if (rpath != null) {
                // resolveDfs() and tree.send() modify the request packet.

         * document.
         */
        private final Detector detector; // always set in the constructor

        /**
         * Creates an auto-detecting parser instance using the default Tika
         * configuration.
         */
        public TikaDetectParser() {
            this(tikaConfig);
        }

        /**
         * Constructor.

		if len(toDel) > 10 { // batch up to 10 objects/versions to be expired simultaneously.
			xfer := make([]expireObjInfo, len(toDel))
			copy(xfer, toDel)
			select {
			case expireCh <- xfer:
				toDel = toDel[:0] // resetting toDel
			case <-ctx.Done():
				done = true
			}
		}
	}
	for {
		select {
		case result, ok := <-results:
			if !ok {
				done = true
				break
			}
			if result.Err != nil {

        override fun requestHeadersEnd(
          call: Call,
          request: Request,
        ) {
          // Wait for the server to send the duplex response before acting on the 301 response
          // and resetting the stream.
          duplexResponseSent.await()
        }
      }
    client =
      client
        .newBuilder()
        .eventListener(eventRecorder.eventListener + requestHeadersEndListener)