### Gerenciador de contexto assíncrono { #async-context-manager }

Se você verificar, a função está decorada com um `@asynccontextmanager`.

Isso converte a função em algo chamado "**gerenciador de contexto assíncrono**".

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

     *
     * @param witnessServer the witness server address
     * @param context the CIFS context
     * @throws IOException if initialization fails
     */
    public WitnessClient(InetAddress witnessServer, CIFSContext context) throws IOException {
        this(witnessServer, context, new WitnessRpcClient(witnessServer, context));
    }

    /**

		o.args.RoleARN: o.args.RolePolicy,
	}
}

// checkConnectivity returns true if we are able to connect to the plugin
// service.
func (o *AuthNPlugin) checkConnectivity(ctx context.Context) bool {
	ctx, cancel := context.WithTimeout(ctx, healthCheckTimeout)
	defer cancel()
	u := url.URL(*o.args.URL)

	req, err := http.NewRequestWithContext(ctx, http.MethodHead, u.String(), nil)
	if err != nil {

func (er erasureObjects) newMultipartUpload(ctx context.Context, bucket string, object string, opts ObjectOptions) (*NewMultipartUploadResult, error) {
	if opts.CheckPrecondFn != nil {
		if !opts.NoLock {
			ns := er.NewNSLock(bucket, object)
			lkctx, err := ns.GetLock(ctx, globalOperationTimeout)
			if err != nil {
				return nil, err
			}
			ctx = lkctx.Context()
			defer ns.Unlock(lkctx)
			opts.NoLock = true
		}

	}

	sys.Set(meta.Name, meta)
	globalNotificationSys.LoadBucketMetadata(bgContext(ctx), meta.Name) // Do not use caller context here
	return nil
}

// Delete delete the bucket metadata for the specified bucket.
// must be used by all callers instead of using Update() with nil configData.
func (sys *BucketMetadataSys) Delete(ctx context.Context, bucket string, configFile string) (updatedAt time.Time, err error) {

TF_CAPI_EXPORT extern void TFE_AbortCollectiveOps(TFE_Context* ctx,
                                                  TF_Status* status) {
  tensorflow::EagerContext* context =
      tensorflow::ContextFromInterface(tensorflow::unwrap(ctx));
  auto collective_executor_handle = context->GetCollectiveExecutorHandle();
  collective_executor_handle->get()->StartAbort(status->status);
}

TF_CAPI_EXPORT extern void TFE_CollectiveOpsCheckPeerHealth(

	_, err = er.getDisks()[0].StatVol(t.Context(), bucket)
	if err != nil {
		t.Fatal(err)
	}
}

// Tests both object and bucket healing.
func TestHealingVersioned(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

	obj, fsDirs, err := prepareErasure16(ctx)
	if err != nil {
		t.Fatal(err)
	}
	defer obj.Shutdown(t.Context())

        String field = "content";

        List<String> results = converter.convert(text, field, "en", "ja");

        assertNotNull(results);
        // With multiple languages, should use ReadingConverterChain
    }

    @Test
    public void testConvertWithEmptyText() throws IOException {
        // Test convert with empty text
        String text = "";
        String field = "content";

if __name__ == '__main__':
	app.run()
```

When you're writing a Lambda function for use with MinIO, the function is based on event context that MinIO provides to the Lambda function. The event context provides information about the request being made. It contains the parameters with relevant context. The fields used to create the Lambda function are as follows:

// Context values are preserved.
// This can be used for goroutines that live beyond the parent context.
func bgContext(parent context.Context) context.Context {
	return bgCtx{parent: parent}
}

type bgCtx struct {
	parent context.Context
}

func (a bgCtx) Done() <-chan struct{} {
	return nil
}

func (a bgCtx) Err() error {
	return nil
}