final boolean closed = msg != null && msg.equals("Socket closed");

                if (closed) {
                    log.trace("Remote closed connection");
                } else if (timeout) {
                    log.debug("socket timeout in non peek state", ex);
                } else {
                    log.debug("recv failed", ex);
                }

     *
     * @throws LoginException if login fails.
     */
    @Test
    void testConstructor_Success() throws LoginException {
        try (MockedConstruction<LoginContext> mocked = Mockito.mockConstruction(LoginContext.class, (mock, context) -> {
            when(mock.getSubject()).thenReturn(subject);
            doNothing().when(mock).login();
        })) {

        // Assert
        assertSame(mocked, ex.getCause(), "Mocked cause should be preserved");
        verifyNoInteractions(mocked);
    }

    // Reflection-based check: ensure serialVersionUID remains the declared constant
    @Test
    @DisplayName("serialVersionUID matches declared constant")
    void serialVersionUID_hasExpectedValue() throws Exception {
        // Arrange

import java.net.InetAddress;
import java.net.Socket;

import jcifs.smb1.Config;
import jcifs.smb1.util.LogStream;

/**
Do not use this class. Writing to the OutputStream of this type of socket
requires leaving a 4 byte prefix for the NBT header. IOW you must call
write( buf, 4, len ). Calling write( buf, 0, len ) will generate an error.
 */

public class NbtSocket extends Socket {

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1

/// tip

これらの**コンテナ**やDockerそしてKubernetesに関する項目が、まだあまり意味をなしていなくても心配しないでください。
<!-- NOTE: the current version of docker.md is outdated compared to English one. -->

コンテナ・イメージ、Docker、Kubernetesなどについては、次の章で詳しく説明します: [コンテナ内のFastAPI - Docker](docker.md){.internal-link target=_blank}.

///

## 開始前の事前のステップ

      locale: {
        format: "YYYY-MM-DD HH:mm"
      }
    })
    .on("apply.daterangepicker", function(ev, picker) {
      $(this).val(
        picker.startDate.format("YYYY-MM-DD HH:mm") +
          " - " +
          picker.endDate.format("YYYY-MM-DD HH:mm")
      );
    });

  // Time picker
  $("input.form-control.time").timepicker({
    showInputs: false
  });

  // tooltips
  $(function() {

    ).filter { it.isSupported() }

  @Throws(IOException::class)
  override fun connectSocket(
    socket: Socket,
    address: InetSocketAddress,
    connectTimeout: Int,
  ) {
    try {
      socket.connect(address, connectTimeout)
    } catch (e: ClassCastException) {
      // On android 8.0, socket.connect throws a ClassCastException due to a bug
      // see https://issuetracker.google.com/issues/63649622

  override val route: Route,
  /** The low-level TCP socket. */
  private val rawSocket: JavaNetSocket,
  /**
   * The application layer socket. Either an [SSLSocket] layered over [rawSocket], or [rawSocket]
   * itself if this connection does not use SSL.
   */
  private val javaNetSocket: JavaNetSocket,
  private val handshake: Handshake?,
  private val protocol: Protocol,
  private val socket: BufferedSocket,

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML