}

// TODO(chky): Consider adding this op to tensorflow core ops.
def TF_PwStreamResultsOp : TF_Op<"PwStreamResults"> {
  let summary = "Streams results back to the controller";

  let description = [{
    This op is a TensorFlow op that represents "streamed outputs", where
    intermediate results can be returned immediately without waiting for the
    entire signature computation to complete.

	}
	if err != nil {
		conn.Close()
		return nil, fmt.Errorf("write error during websocket server creation: %v", err)
	}

	ctx := &conns{
		conn:         conn,
		stdinStream:  streams[constants.StreamStdIn],
		stdoutStream: streams[constants.StreamStdOut],
		stderrStream: streams[constants.StreamStdErr],
		tty:          opts.Tty,
		resizeStream: streams[constants.StreamResize],
	}

     */
    void connectStreams(Process process, String processName, Executor executor);

    /**
     * Starts reading/writing/whatever the process' streams. May block until the streams reach some particular state, e.g. indicate that the process has started successfully.
     */
    void start();

    /**
     * Remove any context associated with tracking the startup of the process.

 *
 * ## Connection Reuse
 *
 * Each connection can carry a varying number of streams, depending on the underlying protocol being
 * used. HTTP/1.x connections can carry either zero or one streams. HTTP/2 connections can carry any
 * number of streams, dynamically configured with `SETTINGS_MAX_CONCURRENT_STREAMS`. A connection
 * currently carrying zero streams is an idle stream. We keep it alive because reusing an existing

// streaming connections.
//
// The stream translator proxy is used for the RemoteCommand
// subprotocol (e.g. kubectl exec, cp, and attach), and it connects
// the output streams of a WebSocket connection (e.g. STDIN, STDOUT,
// STDERR, TTY resize, and error streams) to the input streams of a
// SPDY connection.
//
// The stream tunnel proxy tunnels SPDY frames through a WebSocket
// connection, and it is used for the PortForward subprotocol (e.g.

		compressedSize  int
		streams         int
	)
	switch (hdr >> 2) & 3 {
	case 0, 1:
		if off+1 >= len(data) {
			return 0, nil, r.makeEOFError(off)
		}
		regeneratedSize = (int(hdr) >> 4) | ((int(data[off]) & 0x3f) << 4)
		compressedSize = (int(data[off]) >> 6) | (int(data[off+1]) << 2)
		off += 2
		if ((hdr >> 2) & 3) == 0 {
			streams = 1
		} else {
			streams = 4
		}
	case 2:

	pfd, _ := getPollFDAndNetwork(r)
	// TODO(panjf2000): run some tests to see if we should unlock the non-streams for splice.
	// Streams benefit the most from the splice(2), non-streams are not even supported in old kernels
	// where splice(2) will just return EINVAL; newer kernels support non-streams like UDP, but I really
	// doubt that splice(2) could help non-streams, cuz they usually send small frames respectively
	// and one splice call would result in one frame.

TextWidth field to 20:

	{"TextWidth": 20}
	-- input --
	Package gob manages streams of gobs - binary values exchanged between an
	Encoder (transmitter) and a Decoder (receiver).
	-- text --
	Package gob
	manages streams
	of gobs - binary
	values exchanged
	between an Encoder
	(transmitter) and a

  // streams.
  // It is legal to reset the definition event of a tensor when overwriting the
  // tensor's value (at which point, it is effectively a new tensor once again.)
  void ResetDefinitionEvent(std::shared_ptr<se::Event> event,
                            se::Stream* stream);

  // Refresh the status of streams_defined_on_. Return the first not-OK stream's
  // status or OK.

 * limitations under the License.
 */

package org.gradle.internal.execution.steps;

import com.google.common.annotations.VisibleForTesting;
import com.google.common.collect.Streams;
import org.gradle.internal.execution.BuildOutputCleanupRegistry;
import org.gradle.internal.execution.OutputChangeListener;
import org.gradle.internal.execution.UnitOfWork;