ioe: IOException,
        ) = TODO()

        override fun connectionAcquired(
          call: Call,
          connection: Connection,
        ) = TODO()

        override fun connectionReleased(
          call: Call,
          connection: Connection,
        ) = TODO()

        override fun requestHeadersStart(call: Call) = TODO()

        override fun requestHeadersEnd(

## Changelog since v1.12.7

### Other notable changes

* Connections from Pods to Services with 0 endpoints will now ICMP reject immediately, rather than blackhole and timeout. ([#72534](https://github.com/kubernetes/kubernetes/pull/72534), [@thockin](https://github.com/thockin))

- Packets considered INVALID by conntrack are now dropped. In particular, this fixes
a problem where spurious retransmits in a long-running TCP connection to a service
IP could result in the connection being closed with the error "Connection reset by
peer" ([#74840](https://github.com/kubernetes/kubernetes/pull/74840), [@anfernee](https://github.com/anfernee))

            final int localPort, final String hostName) {
        SmbTransport conn;

        synchronized (CONNECTIONS) {
            if (SSN_LIMIT != 1) {
                final ListIterator iter = CONNECTIONS.listIterator();
                while (iter.hasNext()) {
                    conn = (SmbTransport) iter.next();

    /** Whether to disable Nagle's algorithm for TCP connections */
    protected boolean smbTcpNoDelay = false;
    /** Response timeout in milliseconds for SMB operations */
    protected int smbResponseTimeout = SmbConstants.DEFAULT_RESPONSE_TIMEOUT;
    /** Socket timeout in milliseconds for SMB connections */
    protected int smbSocketTimeout = SmbConstants.DEFAULT_SO_TIMEOUT;

internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access

Lokhttp3/internal/connection/ExchangeFinder;
Lokhttp3/internal/connection/FastFallbackExchangeFinder;
Lokhttp3/internal/connection/RealCall$AsyncCall;
Lokhttp3/internal/connection/RealCall$CallReference;
Lokhttp3/internal/connection/RealCall$timeout$1;
Lokhttp3/internal/connection/RealCall;
Lokhttp3/internal/connection/RealConnection;
Lokhttp3/internal/connection/RealConnectionPool$cleanupTask$1;
Lokhttp3/internal/connection/RealConnectionPool;

    // flow-control window is fully depleted.
    if (!flushHeaders) {
      withLock {
        flushHeaders = (connection.writeBytesTotal >= connection.writeBytesMaximum)
      }
    }

    connection.writeHeaders(id, outFinished, responseHeaders)

    if (flushHeaders) {
      connection.flush()
    }
  }

    /**
     * Check if this handle is currently reconnecting
     * @return true if reconnecting
     */
    public boolean isReconnecting() {
        return reconnecting;
    }

    /**
     * Set the reconnecting state
     * @param reconnecting the reconnecting state
     */
    public void setReconnecting(boolean reconnecting) {
        this.reconnecting = reconnecting;
    }

    /**

          }
        } else {
          exchange.noRequestBody()
          if (!exchange.connection.isMultiplexed) {
            // If the "Expect: 100-continue" expectation wasn't met, prevent the HTTP/1 connection
            // from being reused. Otherwise we're still obligated to transmit the request body to
            // leave the connection in a consistent state.
            exchange.noNewExchangesOnConnection()
          }
        }