---

"_FastAPIライブラリを採用し、クエリで **予測値** を取得できる **REST** サーバを構築しました。 [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/"><small>(ref)</small></a></div>

---

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/"><small>(ref)</small></a></div>

---

		return p.storage.ReadXL(ctx, volume, path, readData)
	})
}

func (p *xlStorageDiskIDCheck) StatInfoFile(ctx context.Context, volume, path string, glob bool) (stat []StatInfo, err error) {
	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricStatInfoFile, volume, path)
	if err != nil {
		return nil, err
	}
	defer done(0, &err)

---

"_**FastAPI** 라이브러리를 채택하여 **예측**을 얻기 위해 쿼리를 실행 할 수 있는 **REST** 서버를 생성했습니다. [Ludwig을 위해]_"

<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin 그리고 Sai Sumanth Miryala - <strong>우버</strong> <a href="https://eng.uber.com/ludwig-v0-2/"><small>(ref)</small></a></div>

---

"_**Netflix**는 우리의 오픈 소스 배포판인 **위기 관리** 오케스트레이션 프레임워크를 발표할 수 있어 기쁩니다: 바로 **Dispatch**입니다! [**FastAPI**로 빌드]_"

   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */
  public static byte[] toByteArray(long value) {
    // Note that this code needs to stay compatible with GWT, which has known
    // bugs when narrowing byte casts of long values occur.
    byte[] result = new byte[8];
    for (int i = 7; i >= 0; i--) {
      result[i] = (byte) (value & 0xffL);

	XORI	$1, X5					// 93c21200
	XORI	$2048, X5				// b71f00009b8f0f80b3c2f201

	SLLI	$1, X5, X6				// 13931200
	SLLI	$1, X5					// 93921200
	SRLI	$1, X5, X6				// 13d31200
	SRLI	$1, X5					// 93d21200
	SRAI	$1, X5, X6				// 13d31240
	SRAI	$1, X5					// 93d21240

	ADD	X6, X5, X7				// b3836200
	ADD	X5, X6					// 33035300
	ADD	$2047, X5, X6				// 1383f27f
	ADD	$-2048, X5, X6				// 13830280
	ADD	$2047, X5				// 9382f27f

        return;
      }

      /*
       * Reclassify nodes in each list to new Map. Because we are using power-of-two expansion, the
       * elements from each bin must either stay at same index, or move with a power of two offset.
       * We eliminate unnecessary node creation by catching cases where old nodes can be reused

pkg io/fs, type FS interface { Open }
pkg io/fs, type FS interface, Open(string) (File, error)
pkg io/fs, type File interface { Close, Read, Stat }
pkg io/fs, type File interface, Close() error
pkg io/fs, type File interface, Read([]uint8) (int, error)
pkg io/fs, type File interface, Stat() (FileInfo, error)
pkg io/fs, type FileInfo interface { IsDir, ModTime, Mode, Name, Size, Sys }
pkg io/fs, type FileInfo interface, IsDir() bool

			var r io.Reader
			var sz int64
			switch file {
			case "-":
				r = os.Stdin
			default:
				f, err := os.Open(file)
				if err != nil {
					return err
				}
				if st, err := f.Stat(); err == nil {
					sz = st.Size()
				}
				defer f.Close()
				r = f
			}
			if ra, ok := r.(io.ReaderAt); ok && strings.HasSuffix(file, ".zip") {
				zr, err := zip.NewReader(ra, sz)
				if err != nil {

    under `tf.keras.dtensor` in this release (refer to the `tf.keras` entry).
    The tutoral and guide for DTensor will be published on
    https://www.tensorflow.org/. Please stay tuned.

*   [oneDNN CPU performance optimizations](https://github.com/tensorflow/community/blob/master/rfcs/20210930-enable-onednn-ops.md)
    are available in Linux x86, Windows x86, and Linux aarch64 packages.