/// tip

Additionally, a background task is normally an independent set of logic that should be handled separately, with its own resources (e.g. its own database connection).

So, this way you will probably have cleaner code.

///

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

/// info

In Pydantic v1 it came included with the main package. Now it is distributed as this independent package so that you can choose to install it or not if you don't need that functionality.

///

### Create the `Settings` object { #create-the-settings-object }

        assertEquals(13, tokens.get(2).getEndOffset());
    }

    @Test
    public void testMultipleAnalyzersIndependence() {
        // Test that multiple analyzer instances work independently
        SuggestAnalyzer analyzer1 = new TestSuggestAnalyzer();
        SuggestAnalyzer analyzer2 = new TestSuggestAnalyzer();

        String text = "test text";
        String field = "content";

    Previously OkHttp used its connection pool as a lock when making changes to connections and
    calls. With this change each connection is locked independently.

 *  Upgrade: [Okio 2.7.0][okio_2_7_0].

    ```kotlin
    implementation("com.squareup.okio:okio:2.7.0")
    ```

            // Encode to different buffers
            int result1 = request.encode(buffer1, 0);
            int result2 = request.encode(buffer2, 50);

            // Both should succeed independently
            assertTrue(result1 > 0);
            assertTrue(result2 > 0);

            // Verify headers in both buffers
            for (int i = 0; i < 8; i++) {

/// tip | Consejo

Además, una tarea en background es normalmente un conjunto independiente de lógica que debería manejarse por separado, con sus propios recursos (por ejemplo, su propia conexión a base de datos).

De esta manera probablemente tendrás un código más limpio.

///

 * independent of N (but depends on the quantiles being computed). When calling {@link
 * ScaleAndIndex#computeInPlace computeInPlace} (in {@linkplain ScaleAndIndexes#computeInPlace
 * either form}), only the overhead is required. The number of object allocations is independent of
 * N in both cases.
 *
 * @author Pete Gillin
 * @since 20.0
 */

 * href="https://docs.spring.io/spring-framework/docs/current/reference/html/core.html#beans-introduction">Spring</a>.
 * Frameworks typically offer a way to register multiple listeners independently and then request
 * them together as a set (<a href="https://dagger.dev/dev-guide/multibindings">Dagger</a>, <a
 * href="https://github.com/google/guice/wiki/Multibindings">Guice</a>, <a

/// tip | Dica

Adicionalmente, uma tarefa de background é, normalmente, um conjunto de lógicas independentes que devem ser manipuladas separadamente, com seus próprios recursos (e.g. sua própria conexão com banco de dados).

Então, dessa forma você provavelmente terá um código mais limpo.

///

import java.util.Set;
import java.util.SortedSet;
import java.util.TreeMap;
import java.util.TreeSet;
import org.jspecify.annotations.Nullable;

/**
 * An immutable builder for {@link Multimap} instances, letting you independently select the desired
 * behaviors (for example, ordering) of the backing map and value-collections. Example:
 *
 * {@snippet :
 * ListMultimap<UserId, ErrorResponse> errorsByUser =