tolerations: [] affinity: {} # Command to run after the main command on exit exitCommand: "" ## Use this field to add environment variables relevant to MinIO server. These fields will be passed on to MinIO container(s) ## when Chart is deployed environment: ## Please refer for comprehensive list https://docs.min.io/minio/baremetal/reference/minio-server/minio-server.html ## MINIO_SUBNET_LICENSE: "License key obtained from https://subnet.min.io" ## MINIO_BROWSER: "off" ## The name of a secret in the...

        new CyclicBarrier(
            6 // for the setter threads
                + 50 // for the listeners
                + 50 // for the blocking get threads,
                + 1); // for the main thread
    final ExecutorService executor = Executors.newFixedThreadPool(barrier.getParties());
    final AtomicReference<AbstractFuture<String>> currentFuture = Atomics.newReference();

    // need a long enough string for the buffer to hit 0 remaining before the copy completes
    String string = Strings.repeat("0123456789", 100);
    StringBuilder b = new StringBuilder();
    // the main assertion of this test is here... the copy will fail if the buffer size goes down
    // each time it is not filled completely
    long copied = CharStreams.copy(newNonBufferFillingReader(new StringReader(string)), b);

    private BelowAll() {
      /*
       * No code ever sees this bogus value for `endpoint`: This class overrides both methods that
       * use the `endpoint` field, compareTo() and endpoint(). Additionally, the main implementation
       * of Cut.compareTo checks for belowAll before reading accessing `endpoint` on another Cut
       * instance.
       */
      super("");
    }

    @Override

    // need a long enough string for the buffer to hit 0 remaining before the copy completes
    String string = Strings.repeat("0123456789", 100);
    StringBuilder b = new StringBuilder();
    // the main assertion of this test is here... the copy will fail if the buffer size goes down
    // each time it is not filled completely
    long copied = CharStreams.copy(newNonBufferFillingReader(new StringReader(string)), b);

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.

  // +optional
  optional bool serving = 2;

  // terminating indicates that this endpoint is terminating. A nil value
  // indicates an unknown state. Consumers should interpret this unknown state
  // to mean that the endpoint is not terminating.
  // +optional
  optional bool terminating = 3;
}

// EndpointHints provides hints describing how an endpoint should be consumed.
message EndpointHints {

        File pluginFile = (pluginArtifact != null) ? pluginArtifact.getFile() : null;
        if (pluginFile == null) {
            throw new IllegalStateException("plugin main artifact has not been resolved for " + getId());
        }

        if (pluginFile.isFile()) {
            try {
                return new URL("jar:" + pluginFile.toURI() + "!/" + descriptor).openStream();

* Data validation
* API annotation and automatic documentation

And you only have to declare them once.

Ce qui fait qu'avec une URL comme :

```
http://localhost:8000/items/?q=foo&q=bar
```

vous recevriez les valeurs des multiples paramètres de requête `q` (`foo` et `bar`) dans une `list` Python au sein de votre fonction de **path operation**, dans le paramètre de fonction `q`.

Donc la réponse de cette URL serait :

```JSON
{
  "q": [
    "foo",
    "bar"
  ]
}
```