- uses: actions/labeler@v5
      if: ${{ github.event.action != 'labeled' && github.event.action != 'unlabeled' }}
    - run: echo "Done adding labels"
  # Run this after labeler applied labels
  check-labels:
    needs:
      - labeler
    permissions:
      pull-requests: read
    runs-on: ubuntu-latest
    steps:
      - uses: docker://agilepathway/pull-request-label-checker:latest
        with:

## Caveat { #caveat }

If you need to perform heavy background computation and you don't necessarily need it to be run by the same process (for example, you don't need to share memory, variables, etc), you might benefit from using other bigger tools like <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[6,14,22] *}

And all of them can use `yield`.

In this case `dependency_c`, to execute its exit code, needs the value from `dependency_b` (here named `dep_b`) to still be available.

And, in turn, `dependency_b` needs the value from `dependency_a` (here named `dep_a`) to be available for its exit code.

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[18:19,26:27] *}

      val result0 = finder.find()
      assertThat(result0).isEqualTo(plan1.connection)
    }

    taskFaker.runTasks()
    assertEvents(
      "take plan 0",
      "plan 0 TCP connecting...",
      "plan 0 needs follow-up",
      "plan 1 TCP connecting...",
      "plan 1 TCP connected",
      "plan 1 TLS connecting...",
      "plan 1 TLS connected",
    )

    taskFaker.assertNoMoreTasks()
  }

  @Test

    /** The search engine client for interacting with OpenSearch. */
    @Resource
    public SearchEngineClient searchEngineClient;

    /**
     * A nested class for parsing command-line options.
     */
    protected static class Options {
        /** The session ID for the suggest creation process. */

  public void testLenientFormat_badArgumentToString() {
    assertThat(Strings.lenientFormat("boiler %s plate", new ThrowsOnToString()))
        .matches(
            // J2kt nested class name does not use "$"
            "boiler <com\\.google\\.common\\.base\\.StringsTest[.$]ThrowsOnToString@[0-9a-f]+ "
                + "threw java\\.lang\\.UnsupportedOperationException> plate");
  }

 *
 * This class provides methods to normalize text by reading characters from a provided Reader
 * and processing them according to specific rules. The main functionality is encapsulated
 * within the nested {@link TextNormalizeContext} class.
 *
 * <p>The text normalization process includes:
 * <ul>
 *   <li>Treating ISO control characters and specified space characters as spaces.</li>

setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:

  int last_num_graph_nodes;

  // If true, TF_SessionRun and similar methods will call
  // ExtendSessionGraphHelper before running the graph (this is the default
  // public behavior). Can be set to false if the caller needs to call
  // ExtendSessionGraphHelper manually.
  std::atomic<bool> extend_before_run;
};

struct TF_ImportGraphDefOptions {
  tensorflow::ImportGraphDefOptions opts;

    #  The base output directory for generating.
    #  Basically you don't need to specify this if the project style is as follows:
    #
    #   *Java Project Style
    #     If this value is '../src/main/java' and your project is under the Maven,
    #     you don't need to set up this property!
    #
    #     {app-project}
    #         |
    #         |-dbflute_[project]