as arg with default value `None` to choose the I/O device for loading
        models and weights.
    *   Update `tf.saved_model.SaveOptions` with
        [`experimental_io_device`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/saved_model/SaveOptions?hl=en)
        as arg with default value `None` to choose the I/O device for saving
        models and weights.

	}
	_, err = dexClient.Do(req)
	// fmt.Printf("Do: %#v %#v\n", resp, err)
	if err != nil {
		return "", fmt.Errorf("auth url request err: %v", err)
	}

	// Modify u to choose the ldap option
	u.Path += "/ldap"
	// fmt.Println(u)

	// Pick the LDAP login option. This would return a form page after
	// following some redirects. `lastReq` would be the URL of the form

   * characters can be read, the remaining characters are returned and the stream is closed.
   */
  private fun readAscii(
    inputStream: InputStream,
    count: Int,
  ): String {
    val result = StringBuilder()
    for (i in 0 until count) {
      val value = inputStream.read()
      if (value == -1) {
        inputStream.close()
        break
      }
      result.append(value.toChar())
    }

- Apiserver add a new flag --goaway-chance which is the fraction of requests that will be closed gracefully(GOAWAY) to prevent HTTP/2 clients from getting stuck on a single apiserver. 
  After the connection closed(received GOAWAY), the client's other in-flight requests won't be affected, and the client will reconnect. 

the Free Software Foundation.  If the Library does not specify a
license version number, you may choose any version ever published by
the Free Software Foundation.

  14. If you wish to incorporate parts of the Library into other free
programs whose distribution conditions are incompatible with these,
write to the author to ask for permission.  For software which is

   * ListenableFuture<Integer> faultTolerantFuture =
   *     fetchCounters().catchingAsync(
   *         FetchException.class, x -> immediateFuture(0), directExecutor());
   * }</pre>
   *
   * <p>The fallback can also choose to propagate the original exception when desired:
   *
   * <pre>{@code
   * // Falling back to a zero counter only in case the exception was a
   * // TimeoutException.

                ReactorReader reactorReader = lookup.lookup(ReactorReader.class);
                reactorReader.processEvent((ExecutionEvent) event);
            }
        }

        @Override
        public void close() throws Exception {}
    }

// Recursive enables emitting all values at a depth higher than the
// configured emit depth; e.g. if an array is found at emit depth, all
// values within the array are emitted to the stream, then the array
// containing those values is emitted.
func (d *Decoder) Recursive() *Decoder {
	d.emitRecursive = true
	return d
}

// Stream begins decoding from the underlying reader and returns a

### Concurrency + Parallelism: Web + Machine Learning

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

// gatherResults will collect all results on the input channel and filter results according
// to the options or to the current bucket ILM expiry rules.
// Caller should close the channel when done.
// The returned function will return the results once there is enough or input is closed,
// or the context is canceled.
func (o *listPathOptions) gatherResults(ctx context.Context, in <-chan metaCacheEntry) func() (metaCacheEntriesSorted, error) {