### **4.1 Spark Pi**

Test the Spark installation by running the following compute intensive example, which calculates pi by “throwing darts” at a circle. The program generates points in the unit square ((0,0) to (1,1)) and counts how many points fall within the unit circle within the square. The result approximates pi.

Follow these steps to run the Spark Pi example:

      response.newBuilder()
        .setHeader("Sec-WebSocket-Accept", WebSocketProtocol.acceptHeader(key!!))
        .build()
    writeHttpResponse(socket, sink, webSocketResponse)

    // Adapt the request and response into our Request and Response domain model.
    val scheme = if (request.handshake != null) "https" else "http"
    val authority = request.headers["Host"] // Has host and port.
    val fancyRequest =

qui est nécessaire, était une caractéristique clé que je voulais conserver.

Compte tenu de la simplicité de Flask, il semblait bien adapté à la création d'API. La prochaine chose à trouver était un "Django REST Framework" pour Flask.

/// check | "A inspiré **FastAPI** à"

Être un micro-framework. Il est donc facile de combiner les outils et les pièces nécessaires.

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  To "modify" a work means to copy from or adapt all or part of the work
in a fashion requiring copyright permission, other than the making of an
exact copy.  The resulting work is called a "modified version" of the
earlier work or a work "based on" the earlier work.

   *   <li>Return a {@code ClosingFuture}. To turn a {@link ListenableFuture} into a {@code
   *       ClosingFuture} call {@link #from(ListenableFuture)}.
   *   <li>In case this step doesn't create new closeables, you can adapt an API that returns a
   *       {@link ListenableFuture} to return a {@code ClosingFuture} by wrapping it with a call to
   *       {@link #withoutCloser(AsyncFunction)}
   * </ul>
   *
   * <p>Example usage:
   *

 * AsyncCacheLoader.asyncLoad}</a> must return a {@code CompletableFuture}. Users of Guava's {@link
 * com.google.common.util.concurrent.ListenableFuture} can adapt between the two {@code Future}
 * types by using <a href="https://github.com/lukas-krecan/future-converter#java8-guava">{@code
 * net.javacrumbs.futureconverter.java8guava.FutureConverter}</a>.
 *

        putEnv(env, Context.SECURITY_PRINCIPAL, principal);
        putEnv(env, Context.SECURITY_CREDENTIALS, credntials);
        if (providerUrl != null && providerUrl.startsWith("ldaps://")) {
            putEnv(env, Context.SECURITY_PROTOCOL, "ssl");
        }
        return env;
    }

    protected void putEnv(final Hashtable<String, String> env, final String key, final String value) {

          int numeratorBits = nBits;
          // This is an upper bound on log2(numerator, ceiling).

          /*
           * We want to do this in long math for speed, but want to avoid overflow. We adapt the
           * technique previously used by BigIntegerMath: maintain separate numerator and
           * denominator accumulators, multiplying the fraction into result when near overflow.
           */

* kubelet: add RSS memory to the summary API ([#24015](https://github.com/kubernetes/kubernetes/pull/24015), [@yujuhong](https://github.com/yujuhong))
* e2e: adapt kubelet_perf.go to use the new summary metrics API ([#24003](https://github.com/kubernetes/kubernetes/pull/24003), [@yujuhong](https://github.com/yujuhong))

          int numeratorBits = nBits;
          // This is an upper bound on log2(numerator, ceiling).

          /*
           * We want to do this in long math for speed, but want to avoid overflow. We adapt the
           * technique previously used by BigIntegerMath: maintain separate numerator and
           * denominator accumulators, multiplying the fraction into result when near overflow.
           */