scan:
	for {
		offset := d.pos - 1

		// read string key
		if c != '"' {
			err = d.mkError(ErrSyntax, "looking for beginning of object key string")
			break
		}
		if k, err = d.string(); err != nil {
			break
		}

		// read colon before value
		if c = d.skipSpaces(); c != ':' {
			err = d.mkError(ErrSyntax, "after object key")
			break
		}

		// read value
		d.skipSpaces()
		if d.emitKV {

// the [Scanner] returns it to the user. If the token is nil, the
// Scanner reads more data and continues scanning; if there is no more
// data--if atEOF was true--the [Scanner] returns. If the data does not
// yet hold a complete token, for instance if it has no newline while
// scanning lines, a [SplitFunc] can return (0, nil, nil) to signal the
// [Scanner] to read more data into the slice and try again with a

// On success, enqueues `tensor` into a TF-managed FifoQueue given by
// `tensor_id`, associated with `session`. There must be a graph node named
// "fifo_queue_enqueue_<tensor_id>", to be executed by this API call. It reads
// from a placeholder node "arg_tensor_enqueue_<tensor_id>".
//
// `tensor` is still owned by the caller. This call will be blocked if the queue
// has reached its capacity, and will be unblocked when the queued tensors again

	return NewChecksumWithType(NewChecksumType(alg), value)
}

// AppendTo will append the checksum to b.
// 'parts' is used when checksum has ChecksumMultipart set.
// ReadCheckSums reads the values back.
func (c *Checksum) AppendTo(b []byte, parts []byte) []byte {
	if c == nil {
		return nil
	}
	var tmp [binary.MaxVarintLen32]byte
	n := binary.PutUvarint(tmp[:], uint64(c.Type))
	crc := c.Raw

    private static final Logger log = LoggerFactory.getLogger(Transport.class);


    /**
     * Read bytes from the input stream into a buffer
     * 
     * @param in
     * @param b
     * @param off
     * @param len
     * @return number of bytes read
     * @throws IOException
     */
    public static int readn ( InputStream in, byte[] b, int off, int len ) throws IOException {
        int i = 0, n = -5;

# 3. Add modifiers. Some modifiers for local execution are:
#      Ex. disk_cache -- Use a local cache
#      Ex. public_cache -- Use TF's public cache (read-only)
#      Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only)
#      Ex. rbe        -- Use RBE for faster builds (Googlers only; see below)
#      Ex. no_docker  -- Disable docker on enabled platforms

type dirReader struct {
	err error
}

func (r *dirReader) Read([]byte) (int, error) {
	return 0, r.err
}

func (r *dirReader) Close() error {
	return nil
}

type checksumReader struct {
	rc    io.ReadCloser
	hash  hash.Hash32
	nread uint64 // number of bytes read so far
	f     *File
	desr  io.Reader // if non-nil, where to read the data descriptor
	err   error     // sticky error
}

      condition.signalAll()

      return stream
    }
  }

  internal fun updateConnectionFlowControl(read: Long) {
    this.withLock {
      readBytes.update(total = read)
      val readBytesToAcknowledge = readBytes.unacknowledged
      if (readBytesToAcknowledge >= okHttpSettings.initialWindowSize / 2) {
        writeWindowUpdateLater(0, readBytesToAcknowledge)

    private val message: String
    private val responseHeaders: Headers
    private val handshake: Handshake?
    private val sentRequestMillis: Long
    private val receivedResponseMillis: Long

    /**
     * Reads an entry from an input stream. A typical entry looks like this:
     *
     * ```
     * http://google.com/foo
     * GET
     * 2
     * Accept-Language: fr-CA
     * Accept-Charset: UTF-8

        `"LOCAL"` (case insensitive). If `"AUTO"`, tf.data service runtime
        decides which workers to read from. If `"ANY"`, TF workers read from any
        tf.data service workers. If `"LOCAL"`, TF workers will only read from
        local in-processs tf.data service workers. `"AUTO"` works well for most
        cases, while users can specify other targets. For example, `"LOCAL"`