// TF_ImportGraphDefOptionsAddReturnOperation(). The number of fetched
// operations is returned in `num_opers`. The array of return operations is
// returned in `opers`. `*opers` is owned by and has the lifetime of `results`.
TF_CAPI_EXPORT extern void TF_ImportGraphDefResultsReturnOperations(
    TF_ImportGraphDefResults* results, int* num_opers, TF_Operation*** opers);

// Fetches any input mappings requested via

## Modelos aninhados

Cada atributo de um modelo Pydantic tem um tipo.

Mas esse tipo pode ser outro modelo Pydantic.

Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos.

Tudo isso, aninhado arbitrariamente.

### Defina um sub-modelo

Por exemplo, nós podemos definir um modelo `Image`:

```Python hl_lines="9-11"

    manager.stopAsync();
    assertThrows(TimeoutException.class, () -> manager.awaitStopped(1, TimeUnit.MILLISECONDS));
    manager.awaitStopped(5, SECONDS); // no exception thrown
  }

  /**
   * This covers a case where if the last service to stop failed then the stopped callback would
   * never be called.
   */
  public void testSingleFailedServiceCallsStopped() {
    Service a = new FailStartService();

import static com.google.common.truth.Truth.assertWithMessage;

import com.google.common.testing.AbstractPackageSanityTests;
import junit.framework.AssertionFailedError;

/**
 * Covers basic sanity checks for the entire package.
 *
 * @author Kurt Alfred Kluever
 */

public class PackageSanityTests extends AbstractPackageSanityTests {

  private static final AbstractGraphBuilder<?> GRAPH_BUILDER_A =

  private fun testConnectViaProxy(proxyConfig: ProxyConfig) {
    server.enqueue(
      MockResponse(body = "this response comes via a proxy"),
    )
    val url = "http://android.com/foo".toHttpUrl()
    val response = proxyConfig.connect(server, client, url).execute()
    assertContent("this response comes via a proxy", response)
    val request = server.takeRequest()
    assertThat(request.requestLine).isEqualTo(

    You could also use `from starlette.staticfiles import StaticFiles`.

    **FastAPI** provides the same `starlette.staticfiles` as `fastapi.staticfiles` just as a convenience for you, the developer. But it actually comes directly from Starlette.

### What is "Mounting"

"Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.

client = TestClient(app)


def test_get_items():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [
        {"name": "Foo", "description": "There comes my hero"},
        {"name": "Red", "description": "It's my aeroplane"},
    ]


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

@needs_py39
def test_get_items(client: TestClient):
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [
        {"name": "Foo", "description": "There comes my hero"},
        {"name": "Red", "description": "It's my aeroplane"},
    ]


@needs_py39
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

        it just seem like a sensible behavior for the feature to have?


        Before we make significant changes to existing features in Guava, we really want to be sure
        that it's for a use case that actually comes up in the real world. We want to hear the
        real-world use case so the community can discuss and debate whether this feature is actually

    }
    return out;
  }

  void Define(int num_opers, const std::vector<TF_Operation*>& opers,
              const std::vector<TF_Operation*>& inputs,
              const std::vector<TF_Operation*>& outputs,
              const std::vector<string>& output_names,
              bool expect_failure = false) {
    DefineT(num_opers, opers, ToOutput(inputs), ToOutput(outputs), output_names,
            expect_failure);