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

        assertEquals(foo1, foo2);
        assertEquals(foo1.hashCode(), foo2.hashCode());
        assertNotEquals(foo1, bar);
        assertNotEquals(foo1.hashCode(), bar.hashCode());
    }

class PropertiesAsMapTest {

    @Test
    void testPropertiesAsMap() {
        Properties props = new Properties();
        props.setProperty("foo1", "bar1");
        props.setProperty("foo2", "bar2");
        PropertiesAsMap pam = new PropertiesAsMap(props);
        assertEquals(2, pam.size());
        Set<Entry<String, String>> set = pam.entrySet();
        assertNotNull(set);

    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~~~~");

    assert response.status_code == 200
    assert response.json() == {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}


def test_query_params_str_validations_q_fixedquery(client: TestClient):
    response = client.get("/items/", params={"q": "fixedquery"})
    assert response.status_code == 200
    assert response.json() == {
        "items": [{"item_id": "Foo"}, {"item_id": "Bar"}],
        "q": "fixedquery",
    }

        alias="item-query",
        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
        max_length=50,
        pattern="^fixedquery$",
        deprecated=True,
    ),
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})