//
// In contrast to [Writer.CreateHeader], the bytes passed to Writer are not compressed.
//
// CreateRaw's argument is stored in w. If the argument is a pointer to the embedded
// [FileHeader] in a [File] obtained from a [Reader] created from in-memory data,
// then w will refer to all of that memory.
func (w *Writer) CreateRaw(fh *FileHeader) (io.Writer, error) {
	if err := w.prepare(fh); err != nil {
		return nil, err
	}

                            ],
                            "routes": [
                              {
                                "match": {
                                  "prefix": "/healthz/ready"
                                },
                                "route": {
                                  "cluster": "agent"
                                }
                              }

}

// freezeServices will freeze all incoming S3 API calls.
// For each call, unfreezeServices must be called once.
func freezeServices() {
	// Use atomics for globalServiceFreeze, so we can read without locking.
	// We need a lock since we are need the 2 atomic values to remain in sync.
	globalServiceFreezeMu.Lock()
	// If multiple calls, first one creates channel.
	globalServiceFreezeCnt++

				CalculatedSHA256: "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
			},
		},
		// Test case - 14.
		// Input with size more than the size of actual data inside the reader.
		{
			bucketName: bucket, objName: object, uploadID: uploadID, PartID: 1, inputReaderData: "abcd", inputMd5: "e2fc714c4727ee9395f324cd2e7f3335", inputDataSize: int64(len("abcd") + 1),

// name prefix for operations added to a graph to compute the gradients.
//
// WARNING: This function does not yet support all the gradients that python
// supports. See
// https://www.tensorflow.org/code/tensorflow/cc/gradients/README.md
// for instructions on how to add C++ more gradients.
TF_CAPI_EXPORT void TF_AddGradients(TF_Graph* g, TF_Output* y, int ny,
                                    TF_Output* x, int nx, TF_Output* dx,

        "mode": "markdown"
      },
      "pluginVersion": "10.1.5",
      "title": "Performance Dashboard README",
      "transparent": true,
      "type": "text"
    },
    {
      "collapsed": false,
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },
      "gridPos": {

	token := target.client.Publish(target.args.Topic, target.args.QoS, false, string(data))
	if !token.WaitTimeout(reconnectInterval) {
		return store.ErrNotConnected
	}
	return token.Error()
}

// SendFromStore - reads an event from store and sends it to MQTT.
func (target *MQTTTarget) SendFromStore(key store.Key) error {
	if err := target.init(); err != nil {
		return err
	}

	// Do not send if the connection is not active.

        numberOfNames = src[srcIndex] & 0xFF;
        int namesLength = numberOfNames * 18;
        int statsLength = rDataLength - namesLength - 1;
        numberOfNames = src[srcIndex++] & 0xFF;
        // gotta read the mac first so we can populate addressArray with it
        System.arraycopy( src, srcIndex + namesLength, macAddress, 0, 6 );
        srcIndex += readNodeNameArray( src, srcIndex );
        stats = new byte[statsLength];

# limitations under the License.
# ============================================================================

name: Close inactive issues
on:
  schedule:
    - cron: "30 1 * * *"

permissions:
  contents: read

jobs:
  close-issues:
    # Don't do this in forks
    if: github.repository == 'tensorflow/tensorflow'
    runs-on: ubuntu-latest
    permissions:
      issues: write
      pull-requests: write
    steps:

	r.line, r.col = val.Line, val.Column
	return nil
}

// Notify notifies notification endpoint if configured regarding job failure or success.
func (r BatchJobExpire) Notify(ctx context.Context, body io.Reader) error {
	if r.NotificationCfg.Endpoint == "" {
		return nil
	}

	ctx, cancel := context.WithTimeout(ctx, 10*time.Second)
	defer cancel()