TF_DeviceList* response = new TF_DeviceList;
  if (session && session->session)
    status->status = session->session->ListDevices(&response->response);
  return response;
}

TF_DeviceList* TF_DeprecatedSessionListDevices(TF_DeprecatedSession* session,
                                               TF_Status* status) {
  TF_DeviceList* response = new TF_DeviceList;
  if (session && session->session)

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.utflute.mocklet.MockletHttpServletRequest;
import org.lastaflute.web.response.next.HtmlNext;

public class VirtualHostHelperTest extends UnitFessTestCase {

    private VirtualHostHelper virtualHostHelper;

    @Override
    public void setUp() throws Exception {
        super.setUp();

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still have the same overhead as if it was built using FastAPI. And in many cases, this data validation and serialization is the...

     * @param wildcard the wildcard pattern to match
     * @param searchAttributes the file attributes to search for
     * @param batchCount the number of entries to return
     * @param batchSize the maximum size of the response buffer
     */
    public Trans2FindFirst2(final Configuration config, final String filename, final String wildcard, final int searchAttributes,
            final int batchCount, final int batchSize) {

///

Luego podemos crear un `AsyncClient` con la app y enviar requests asíncronos a ella, usando `await`.

{* ../../docs_src/async_tests/test_main.py hl[9:12] *}

Esto es equivalente a:

```Python
response = client.get('/')
```

...que usábamos para hacer nuestros requests con el `TestClient`.

/// tip | Consejo

Nota que estamos usando async/await con el nuevo `AsyncClient`: el request es asíncrono.

///

    * Si on n'utilisait pas FastAPI mais directement Starlette (ou un outil équivalent comme Sanic, Flask, Responder, etc) il faudrait implémenter la validation des données et la sérialisation par nous-même. Le résultat serait donc le même dans les deux cas mais du travail supplémentaire serait à réaliser avec Starlette, surtout en considérant que la validation...

//	path: 'bucket/' or '/bucket/' => Heal bucket
//	path: 'bucket/object' => Heal object
type healTask struct {
	bucket    string
	object    string
	versionID string
	opts      madmin.HealOpts
	// Healing response will be sent here
	respCh chan healResult
}

// healResult represents a healing result with a possible error
type healResult struct {
	result madmin.HealResultItem
	err    error
}

Como parte de la creación del objeto de la aplicación, se registra una *path operation* para `/openapi.json` (o para lo que sea que configures tu `openapi_url`).

Simplemente devuelve un response JSON con el resultado del método `.openapi()` de la aplicación.

Por defecto, lo que hace el método `.openapi()` es revisar la propiedad `.openapi_schema` para ver si tiene contenido y devolverlo.

				t.Fatalf("want key name %s, got %s", test.wantKeyNames[i], want.Name)
			}
		}
	}

	// Check generic text in the response
	if test.wantResp != nil {
		for _, want := range test.wantResp {
			if !strings.Contains(rec.Body.String(), want) {
				t.Fatalf("want response to contain %s, got %s", want, rec.Body.String())
			}
		}
	}
}

 */
package okhttp3.internal.ws

import okio.Buffer
import okio.ByteString.Companion.encodeUtf8

object WebSocketProtocol {
  /** Magic value which must be appended to the key in a response header. */
  internal const val ACCEPT_MAGIC = "258EAFA5-E914-47DA-95CA-C5AB0DC85B11"

  /*
  Each frame starts with two bytes of data.

   0 1 2 3 4 5 6 7    0 1 2 3 4 5 6 7
  +-+-+-+-+-------+  +-+-------------+