*   `tf.where` op for data types
            `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`.
        *   `tf.random.normal` op for output data type `tf.float32` on CPU.
        *   `tf.random.uniform` op for output data type `tf.float32` on CPU.
        *   `tf.random.categorical` op for output data type `tf.int64` on CPU.

*   `tensorflow.experimental.tensorrt`:

				SecretKey: creds.SecretKey,
			}
			if !peer.SyncState.Empty() {
				targetToUpdate.ReplicationSync = (peer.SyncState == madmin.SyncEnabled)
			}
			if updateBW {
				targetToUpdate.BandwidthLimit = int64(peer.DefaultBandwidth.Limit)
			}
			err := globalBucketTargetSys.SetTarget(ctx, bucket, &targetToUpdate, true)
			if err != nil {
				return c.annotatePeerErr(peer.Name, "Bucket target update error", err)
			}

				"application/vnd.f-secure.mobile",
				"application/vnd.fdf",
				"application/vnd.fdsn.mseed",
				"application/vnd.fdsn.seed",
				"application/vnd.ffsns",
				"application/vnd.fints",
				"application/vnd.flographit",
				"application/vnd.fluxtime.clip",
				"application/vnd.font-fontforge-sfd",
				"application/vnd.framemaker",
				"application/vnd.frogans.fnc",

			if msgp.IsNil(bts) {
				bts, err = msgp.ReadNilBytes(bts)
				if err != nil {
					return
				}
				z.ActualSize = nil
			} else {
				if z.ActualSize == nil {
					z.ActualSize = new(int64)
				}
				*z.ActualSize, bts, err = msgp.ReadInt64Bytes(bts)
				if err != nil {
					err = msgp.WrapError(err, "ActualSize")
					return
				}
			}
		case "IsDir":

pkg syscall (darwin-amd64), type Termios struct, Cflag uint64
pkg syscall (darwin-amd64), type Termios struct, Iflag uint64
pkg syscall (darwin-amd64), type Termios struct, Ispeed uint64
pkg syscall (darwin-amd64), type Termios struct, Lflag uint64
pkg syscall (darwin-amd64), type Termios struct, Oflag uint64
pkg syscall (darwin-amd64), type Termios struct, Ospeed uint64
pkg syscall (darwin-amd64), type Termios struct, Pad_cgo_0 [4]uint8

* Check for thin_is binary in path for devicemapper when using ThinPoolWatcher and fix uint64 overflow issue for CPU stats ([#27591](https://github.com/kubernetes/kubernetes/pull/27591), [@dchen1107](https://github.com/dchen1107))

		var b bytes.Buffer
		zipWriter := zip.NewWriter(&b)
		rawDataFn := func(r io.Reader, filename string, sz int) error {
			header, zerr := zip.FileInfoHeader(dummyFileInfo{
				name:    filename,
				size:    int64(sz),
				mode:    0o600,
				modTime: time.Now(),
				isDir:   false,
				sys:     nil,
			})
			if zerr != nil {
				adminLogIf(ctx, zerr)
				return nil
			}

  EXPECT_EQ(TF_STRING, static_cast<TF_DataType>(tensorflow::DT_STRING));
  EXPECT_EQ(TF_COMPLEX64, static_cast<TF_DataType>(tensorflow::DT_COMPLEX64));
  EXPECT_EQ(TF_COMPLEX, TF_COMPLEX64);
  EXPECT_EQ(TF_INT64, static_cast<TF_DataType>(tensorflow::DT_INT64));
  EXPECT_EQ(TF_BOOL, static_cast<TF_DataType>(tensorflow::DT_BOOL));
  EXPECT_EQ(TF_QINT8, static_cast<TF_DataType>(tensorflow::DT_QINT8));

- CRD validation now strictly enforces ranges for numeric formats (int32, int64, float, double) when specified in the schema. Existing objects with out-of-range values are preserved via validation ratcheting ([#136582](https://github.com/kubernetes/kubernetes/pull/136582), [@yongruilin](https://github.com/yongruilin)) [SIG API...

- Fixed a bug in the `NestedNumberAsFloat64` Unstructured field accessor that could have caused it to return rounded float64 values instead of errors when accessing very large int64 values. ([#128099](https://github.com/kubernetes/kubernetes/pull/128099), [@benluddy](https://github.com/benluddy))