c.Assert(err, nil)

	response, err = s.client.Do(request)
	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusNotFound)
}

// TestDeleteBucket - validates DELETE bucket operation.
func (s *TestSuiteCommon) TestDeleteBucket(c *check) {
	bucketName := getRandomBucketName()

	// HTTP request to create the bucket.

func (f *sftpDriver) AccessKey() string {
	return f.permissions.CriticalOptions["AccessKey"]
}

func (f *sftpDriver) Fileread(r *sftp.Request) (ra io.ReaderAt, err error) {
	// This is not timing the actual read operation, but the time it takes to prepare the reader.
	stopFn := globalSftpMetrics.log(r, f.AccessKey())
	defer stopFn(0, err)

	flags := r.Pflags()
	if !flags.Read {
		// sanity check
		return nil, os.ErrInvalid

     * changing any bin. The operations must not take any action that could even momentarily
     * cause a concurrent read operation to see inconsistent data. This is made easier by the
     * nature of the read operations in Map. For example, no operation can reveal that the table
     * has grown but the threshold has not yet been updated, so there are no atomicity requirements
     * for this with respect to reads.

- You can now have different operation names for different storage operations. This still prevents two operations on same volume from happening concurrently but if the operation changes, it resets the exponential backoff.
([#75213](https://github.com/kubernetes/kubernetes/pull/75213), [@gnufied](https://github.com/gnufied))

	}

	// Now, delete object from hot-tier namespace
	if _, err := objectAPI.DeleteObject(ctx, oi.Bucket, oi.Name, opts); err != nil {
		return err
	}

	// Send audit for the lifecycle delete operation
	defer auditLogLifecycle(ctx, *oi, ILMExpiry, tags, traceFn)

	eventName := event.ObjectRemovedDelete
	if oi.DeleteMarker {
		eventName = event.ObjectRemovedDeleteMarkerCreated
	}
	objInfo := ObjectInfo{

        // Insert will trigger MappingUpdater which will be closed automatically
        charMappingFile.insert(newItem);

        // Verify the operation completed successfully despite any internal errors
        PagingList<CharMappingItem> result = charMappingFile.selectList(0, 10);
        assertEquals(2, result.size());
    }

        System.arraycopy(buffer, bodyOffset + 8, actualPath, 0, pathBytes.length);
        assertArrayEquals(pathBytes, actualPath);
    }

    @Test
    @DisplayName("Should handle chain operation correctly")
    void testChain() {
        // Given
        ServerMessageBlock2 nextMessage = mock(ServerMessageBlock2.class);

        // When
        boolean result = request.chain(nextMessage);

/// tip | Consejo

Hablaremos del `@lru_cache` en un momento.

Por ahora puedes asumir que `get_settings()` es una función normal.

///

Y luego podemos requerirlo desde la *path operation function* como una dependencia y usarlo donde lo necesitemos.

{* ../../docs_src/settings/app02_an_py39/main.py hl[17,19:21] *}

### Configuraciones y pruebas

<img src="/img/tutorial/dependencies/image01.png">

## Einfache Verwendung

Näher betrachtet, werden *Pfadoperation-Funktionen* deklariert, um verwendet zu werden, wann immer ein *Pfad* und eine *Operation* übereinstimmen, und dann kümmert sich **FastAPI** darum, die Funktion mit den richtigen Parametern aufzurufen, die Daten aus der Anfrage extrahierend.

```Python
some_variable: PlaneItem | CarItem
```

하지만 이를 `response_model=PlaneItem | CarItem`과 같이 할당하면 에러가 발생합니다. 이는 Python이 이를 타입 어노테이션으로 해석하지 않고, `PlaneItem`과 `CarItem` 사이의 **잘못된 연산(invalid operation)**을 시도하기 때문입니다

## 모델 리스트

마찬가지로, 객체 리스트 형태의 응답을 선언할 수도 있습니다.

이를 위해 표준 Python의 `typing.List`를 사용하세요(또는 Python 3.9 이상에서는 단순히 `list`를 사용할 수 있습니다):