// Act
        int actual = findNtStatusOrMinusOne(dosCode);

        // Assert
        assertEquals(-1, actual);
    }

    @Test
    @DisplayName("Structure: DOS_ERROR_CODES is non-null with [code,status] pairs")
    void dosErrorCodesStructureIsValid() {
        // Arrange & Act
        int[][] table = DosError.DOS_ERROR_CODES;

        // Assert
        assertNotNull(table, "DOS_ERROR_CODES must not be null");

   * visited twice if there is an edge connecting them. To avoid returning duplicate {@link
   * EndpointPair}s, we keep track of the nodes that we have visited. When processing endpoint
   * pairs, we skip if the "other node" is in the visited set, as shown below:
   *
   * <pre>
   * Nodes = {N1, N2, N3, N4}
   *    N2           __
   *   /  \         |  |
   * N1----N3      N4__|
   *

Über ein leistungsstarkes Dependency Injection System zu verfügen. Eine Möglichkeit zu finden, Codeverdoppelung zu minimieren.

///

### <a href="https://sanic.readthedocs.io/en/latest/" class="external-link" target="_blank">Sanic</a>

Es war eines der ersten extrem schnellen Python-Frameworks, welches auf `asyncio` basierte. Es wurde so gestaltet, dass es Flask sehr ähnlich ist.

/// note | Technische Details

When you declare other function parameters that are not part of the path parameters, they are automatically interpreted as "query" parameters.

{* ../../docs_src/query_params/tutorial001.py hl[9] *}

The query is the set of key-value pairs that go after the `?` in a URL, separated by `&` characters.

For example, in the URL:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

...the query parameters are:

* `skip`: with a value of `0`

    int range = max - min;
    int s1 = min + (1 * range) / 4;
    int s2 = min + (2 * range) / 4;
    int s3 = min + (3 * range) / 4;
    char[] dst = new char[12];

    // Put surrogate pairs at odd indices so they can be split easily
    dst[0] = 'x';
    Character.toChars(min, dst, 1);
    Character.toChars(s1, dst, 3);
    Character.toChars(s2, dst, 5);
    Character.toChars(s3, dst, 7);

    int range = max - min;
    int s1 = min + (1 * range) / 4;
    int s2 = min + (2 * range) / 4;
    int s3 = min + (3 * range) / 4;
    char[] dst = new char[12];

    // Put surrogate pairs at odd indices so they can be split easily
    dst[0] = 'x';
    Character.toChars(min, dst, 1);
    Character.toChars(s1, dst, 3);
    Character.toChars(s2, dst, 5);
    Character.toChars(s3, dst, 7);

## HTTPX

Mesmo que a sua aplicação **FastAPI** utilize funções normais com `def` no lugar de `async def`, ela ainda é uma aplicação `async` por baixo dos panos.

E claro, ele suporta o mesmo:

* validação de dados
* serialização de dados
* documentação de dados, etc.

Isso funciona da mesma forma que com os modelos Pydantic. E na verdade é alcançado da mesma maneira por baixo dos panos, usando Pydantic.

/// info | Informação

Lembre-se de que dataclasses não podem fazer tudo o que os modelos Pydantic podem fazer.

Então, você ainda pode precisar usar modelos Pydantic.

    return new String(array);
  }

  /**
   * Returns the longest string {@code prefix} such that {@code a.toString().startsWith(prefix) &&
   * b.toString().startsWith(prefix)}, taking care not to split surrogate pairs. If {@code a} and
   * {@code b} have no common prefix, returns the empty string.
   *
   * @since 11.0
   */
  public static String commonPrefix(CharSequence a, CharSequence b) {
    checkNotNull(a);

  }

  @LazyInit @RetainedWith private transient @Nullable ImmutableSetMultimap<V, K> inverse;

  /**
   * {@inheritDoc}
   *
   * <p>Because an inverse of a set multimap cannot contain multiple pairs with the same key and
   * value, this method returns an {@code ImmutableSetMultimap} rather than the {@code
   * ImmutableMultimap} specified in the {@code ImmutableMultimap} class.
   */
  @Override