try {
            // Redirect to ByteArrayOutputStream to avoid console output
            ByteArrayOutputStream baos = new ByteArrayOutputStream();
            java.io.PrintStream ps = new java.io.PrintStream(baos);
            exception.printStackTrace(ps);

            String output = baos.toString();
            assertNotNull(output);
            assertTrue(output.contains("DictionaryExpiredException"));

.DS_Store

# HPROF
# -----
*.hprof

# Work dirs
# ---------
/incoming-distributions
/intTestHomeDir

# Logs
# ----
/*.log

# Thread dumps for troubleshooting
*.threaddump
# ps output for cleaning up leaking Java processes
*.psoutput

# oh-my-zsh gradle plugin
.gradletasknamecache

          );

  private static final ImmutableSet<String> PS_NOT_RS = ImmutableSet.of("blogspot.com", "uk.com");

  private static final ImmutableSet<String> PS =
      ImmutableSet.<String>builder().addAll(RS).addAll(PS_NOT_RS).build();

  private static final ImmutableSet<String> NO_PS =
      ImmutableSet.of("www", "foo.ihopethiswillneverbeapublicsuffix", "x.y.z");

  /**

          );

  private static final ImmutableSet<String> PS_NOT_RS = ImmutableSet.of("blogspot.com", "uk.com");

  private static final ImmutableSet<String> PS =
      ImmutableSet.<String>builder().addAll(RS).addAll(PS_NOT_RS).build();

  private static final ImmutableSet<String> NO_PS =
      ImmutableSet.of("www", "foo.ihopethiswillneverbeapublicsuffix", "x.y.z");

  /**

      - name: Check out code into the Go module directory
        uses: actions/checkout@v4

      - name: Waiting for GaussDB to be ready
        run: |
          container_name=$(docker ps --filter "ancestor=opengauss/opengauss:7.0.0-RC1.B023" --format "{{.Names}}")
          if [ -z "$container_name" ]; then
            echo "Error: failed to find a container created from the 'opengauss/opengauss:7.0.0-RC1.B023' image."

- Removed misleading `SuggestFor` entries from `kubectl wait` so that it is no longer suggested when users type `kubectl list` or `kubectl ps` ([#137266](https://github.com/kubernetes/kubernetes/pull/137266), [@kfess](https://github.com/kfess)) [SIG CLI and Testing]

        please call `optimizer.build(model.trainable_variables)` before the
        training loop.
    *   **Performance regression on `ParameterServerStrategy`.** This could be
        significant if you have many PS servers. We are aware of this issue and
        working on fixes, for now we suggest using the legacy optimizers when
        using `ParameterServerStrategy`.