return madmin.DriveSpeedTestResult{
		Endpoint: u.String(),
		Version:  Version,
		DrivePerf: func() (results []madmin.DrivePerf) {
			for idx, r := range perfs {
				result := madmin.DrivePerf{
					Path:            localPaths[idx],
					ReadThroughput:  r.ReadThroughput,
					WriteThroughput: r.WriteThroughput,
					Error: func() string {
						if r.Error != nil {
							return r.Error.Error()
						}

            requirements**.txt
            pyproject.toml
      - run: uv pip install -r requirements-github-actions.txt
      - uses: actions/download-artifact@v5
        with:
          name: coverage-html
          path: htmlcov
          github-token: ${{ secrets.GITHUB_TOKEN }}
          run-id: ${{ github.event.workflow_run.id }}
      # Try 5 times to upload coverage to smokeshow
      - name: Upload coverage to Smokeshow
        run: |

  fun setServerSocketFactory(serverSocketFactory: ServerSocketFactory) {
    delegate.serverSocketFactory = serverSocketFactory
  }

  fun url(path: String): HttpUrl {
    before() // This implicitly starts the delegate.
    return delegate.url(path)
  }

  @JvmName("-deprecated_bodyLimit")
  fun setBodyLimit(bodyLimit: Long) {
    delegate.bodyLimit = bodyLimit
  }

    }

    @ParameterizedTest(name = "Implementation is instance: {0}")
    @MethodSource("implementations")
    @DisplayName("Happy path: can create implementations and use type checks")
    void testImplementationsAreUsable(SessionSetupHandler impl) {
        // Arrange is provided by method source

        // Act & Assert

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact.repository.metadata;

import java.io.File;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.Collections;
import java.util.Map;

import org.apache.maven.artifact.metadata.ArtifactMetadata;
import org.apache.maven.artifact.repository.ArtifactRepository;

│   ├── main.py
│   └── test_main.py
```

Digamos que ahora el archivo `main.py` con tu aplicación de **FastAPI** tiene algunas otras **path operations**.

Tiene una operación `GET` que podría devolver un error.

Tiene una operación `POST` que podría devolver varios errores.

Ambas *path operations* requieren un `X-Token` header.

//// tab | Python 3.10+

```Python

			return
		}
	} else {
		path := filepath.Join("testdata", zt.Name)
		if zt.Obscured {
			tf, err := obscuretestdata.DecodeToTempFile(path)
			if err != nil {
				t.Errorf("obscuretestdata.DecodeToTempFile(%s): %v", path, err)
				return
			}
			defer os.Remove(tf)
			path = tf
		}
		var rc *ReadCloser
		rc, err = OpenReader(path)
		if err == nil {
			defer rc.Close()

8. Notice that this *path operation function* uses regular `def` instead of `async def`.

    As always, in FastAPI you can combine `def` and `async def` as needed.

    If you need a refresher about when to use which, check out the section _"In a hurry?"_ in the docs about [`async` and `await`](../async.md#in-a-hurry){.internal-link target=_blank}.

	} DfsEnumArray1;

	typedef struct {
		uint32_t state;
		[string] wchar_t *server_name;
		[string] wchar_t *share_name;
	} DfsStorageInfo;

	typedef struct {
		[string] wchar_t *path;
		[string] wchar_t *comment;
		uint32_t state;
		uint32_t num_stores;
		[size_is(num_stores)] DfsStorageInfo *stores;
	} DfsInfo3;

	typedef struct {
		uint32_t count;
		[size_is(count)] DfsInfo3 *s;

# Release jobs are very basic. They don't use any caching or RBE,
# but they do upload logs to resultstore.
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"
TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions"