assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    int[][] arrays = new int[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    int[] sharedArray = new int[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Ints.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {
    }

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    float[][] arrays = new float[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    float[] sharedArray = new float[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Floats.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {

Balthazar Rouberol author_link: https://balthazar-rouberol.com link: https://blog.balthazar-rouberol.com/how-to-profile-a-fastapi-asynchronous-request title: How to profile a FastAPI asynchronous request - author: Stephen Siegert - Neon link: https://neon.tech/blog/deploy-a-serverless-fastapi-app-with-neon-postgres-and-aws-app-runner-at-any-scale title: Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale - author: Kurtis Pykes - NVIDIA link: https://developer.nvidia.com/bl...

```

#### Docker-Cache

In diesem `Dockerfile` gibt es einen wichtigen Trick: Wir kopieren zuerst die **Datei nur mit den Abhängigkeiten**, nicht den Rest des Codes. Lassen Sie mich Ihnen erklären, warum.

```Dockerfile
COPY ./requirements.txt /code/requirements.txt
```

   * This test attempts to cause a future to wait for longer than it was requested to from a timed
   * get() call. As measurements of time are prone to flakiness, it tries to assert based on ranges
   * derived from observing how much time actually passed for various operations.
   */
  @SuppressWarnings("ThreadPriorityCheck")
  @AndroidIncompatible // Thread.suspend
  public void testToString_delayedTimeout() throws Exception {

 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *

 *
 * <p><b>Important note:</b> Unlike {@code InetAddress.getByName()}, the methods of this class never
 * cause DNS services to be accessed. For this reason, you should prefer these methods as much as
 * possible over their JDK equivalents whenever you are expecting to handle only IP address string
 * literals -- there is no blocking DNS penalty for a malformed string.
 *

   * {@code long} value {@code 0x1213141516171819L}.
   *
   * <p>Arguably, it's preferable to use {@link java.nio.ByteBuffer}; that library exposes much more
   * flexibility at little cost in readability.
   *
   * @throws IllegalArgumentException if {@code bytes} has fewer than 8 elements
   */
  public static long fromByteArray(byte[] bytes) {

///

### <a href="https://github.com/encode/apistar" class="external-link" target="_blank">APIStar</a> (≦ 0.5)

Kurz bevor ich mich entschied, **FastAPI** zu erstellen, fand ich den **APIStar**-Server. Er hatte fast alles, was ich suchte, und ein tolles Design.

		b.r = 0
		b.w = 0
		n, b.err = b.rd.Read(b.buf)
		if n < 0 {
			panic(errNegativeRead)
		}
		if n == 0 {
			return 0, b.readErr()
		}
		b.w += n
	}

	// copy as much as we can
	// Note: if the slice panics here, it is probably because
	// the underlying reader returned a bad count. See issue 49795.
	n = copy(p, b.buf[b.r:b.w])
	b.r += n
	b.lastByte = int(b.buf[b.r-1])