Le fast-food a 8 processeurs (serveurs/cuisiniers) 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳. Alors que le fast-food de burgers concurrents en avait 2 (un serveur et un cuisinier).

Et pourtant l'expérience finale n'est pas meilleure 😞.

---

### Burger Conclusion { #burger-conclusion }

In this scenario of "fast food burgers with your crush", as there is a lot of waiting 🕙, it makes a lot more sense to have a concurrent system ⏸🔀⏯.

This is the case for most of the web applications.

Many, many users, but your server is waiting 🕙 for their not-so-good connection to send their requests.

And then waiting 🕙 again for the responses to come back.

### Parallele Hamburger { #parallel-burgers }

Stellen wir uns jetzt vor, dass es sich hierbei nicht um „nebenläufige Hamburger“, sondern um „parallele Hamburger“ handelt.

Sie gehen los mit Ihrem Schwarm, um paralleles Fast Food zu bekommen.

Sie stehen in der Schlange, während mehrere (sagen wir acht) Kassierer, die gleichzeitig Köche sind, die Bestellungen der Leute vor Ihnen entgegennehmen.

Ve uzun süre kuyrukta beklemek 🕙 zorundasın yoksa sıranı kaybedersin.

Muhtemelen ayak işlerı yaparken sevgilini 😍 bankaya 🏦 getirmezsin.

### Burger Sonucu

Bu "aşkınla fast food burgerleri" senaryosunda, çok fazla bekleme olduğu için 🕙, eşzamanlı bir sisteme sahip olmak çok daha mantıklı ⏸🔀⏯.

Web uygulamalarının çoğu için durum böyledir.

   *
   * <p>For example:
   *
   * {@snippet :
   * Streams.zip(
   *   Stream.of("foo1", "foo2", "foo3"),
   *   Stream.of("bar1", "bar2"),
   *   (arg1, arg2) -> arg1 + ":" + arg2)
   * }
   *
   * <p>will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
   *
   * <p>The resulting stream will only be as long as the shorter of the two input streams; if one

    testDecodes(base32(), "MZXW6===", "foo"); // proper padding length
    testDecodes(base32(), "MZXW6====", "foo");
    testDecodes(base32(), "MZXW6=====", "foo");
  }

  public void testBase32AlternatePadding() {
    BaseEncoding enc = base32().withPadChar('~');
    testEncodingWithCasing(enc, "", "");
    testEncodingWithCasing(enc, "f", "MY~~~~~~");
    testEncodingWithCasing(enc, "fo", "MZXQ~~~~");

    val rootCa =
      HeldCertificate
        .Builder()
        .serialNumber(1L)
        .certificateAuthority(1)
        .commonName("root")
        .build()

    // Add a good intermediate CA, and have that issue a good certificate to localhost. Prepare an
    // SSL context for an HTTP client under attack. It includes the trusted CA and a pinned
    // certificate.
    val goodIntermediateCa =
      HeldCertificate

* Then manually fix the remaining issues in the translation, so that it is a good translation.

   *
   * <p>For example:
   *
   * {@snippet :
   * Streams.zip(
   *   Stream.of("foo1", "foo2", "foo3"),
   *   Stream.of("bar1", "bar2"),
   *   (arg1, arg2) -> arg1 + ":" + arg2)
   * }
   *
   * <p>will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
   *
   * <p>The resulting stream will only be as long as the shorter of the two input streams; if one

    tester.forAllPublicStaticMethods(GoodSerializableFactory.class).testSerializable();
  }

  public static final class GoodSerializableFactory {
    public static Object good(Runnable r) {
      return r;
    }

    public static Object good(AnInterface i) {
      return i;
    }

    private GoodSerializableFactory() {}
  }

  public void testSerializableOnReturnValues_bad() throws Exception {