http://localhost:8000/items/?q=foo&q=bar
```

bekommen Sie alle `q`-*Query-Parameter*-Werte (`foo` und `bar`) in einer Python-Liste – `list` – in ihrer *Pfadoperation-Funktion*, im Funktionsparameter `q`, überreicht.

Die Response für diese URL wäre also:

```JSON
{
  "q": [
    "foo",
    "bar"
  ]
}
```

/// tip | Tipp

		if resp.Update != nil {
			select {
			case <-ctx.Done():
			case updates <- *resp.Update:
			}
		}
		if resp.Final != nil {
			final = resp.Final
		}
		// We can't reuse the response since it is sent upstream.
		return nil
	})
	if err != nil {
		return cache, toStorageErr(err)
	}
	if final == nil {
		return cache, errors.New("no final cache")
	}
	return *final, nil
}

     *
     * A push promise contains all the headers that pertain to a server-initiated request, and a
     * `promisedStreamId` to which response frames will be delivered. Push promise frames are sent
     * as a part of the response to `streamId`.
     *
     * @param streamId client-initiated stream ID.  Must be an odd number.
     * @param promisedStreamId server-initiated stream ID.  Must be an even number.

  }

  private interface IteratorOperation {
    @Nullable Object execute(Iterator<?> iterator);
  }

  /**
   * Apply this method to both iterators and return normally only if both produce the same response.
   *
   * @see Stimulus#executeAndCompare(ListIterator, Iterator)
   */
  @SuppressWarnings("CatchingUnchecked") // sneaky checked exception
  private <T extends Iterator<E>> void internalExecuteAndCompare(

        }
    }

    /**
     * Handles file download requests for SMB files.
     * @param req the HTTP servlet request
     * @param resp the HTTP servlet response
     * @param file the SMB file to download
     * @throws IOException if an I/O error occurs
     */

    private int capabilities;

    /**
     * Constructs a session setup AndX request.
     *
     * @param tc the CIFS context containing configuration and credentials
     * @param negotiated the negotiation response containing server capabilities
     * @param andx the next command in the AndX chain, or null
     * @param cred the authentication credentials to use for the session
     * @throws SmbException if an SMB protocol error occurs

    /**
     * Negotiate RDMA parameters
     *
     * @param request negotiation request parameters
     * @return negotiation response
     * @throws IOException if negotiation fails
     */
    public abstract RdmaNegotiateResponse negotiate(RdmaNegotiateRequest request) throws IOException;

    /**
     * Reset connection after recoverable error

  // Backing memory for missing_unused_key_names values.
  std::vector<tensorflow::string> missing_unused_key_names_data;
};

struct TF_DeviceList {
  std::vector<tensorflow::DeviceAttributes> response;
};

struct TF_Function {
  tensorflow::FunctionRecord* record;
};

struct TF_ApiDefMap {
  explicit TF_ApiDefMap(const tensorflow::OpList& op_list)
      :

    * 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...

    * 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...