.put(ImmutableSetMultimap.class, ImmutableSetMultimap.of())
          .put(
              SortedSetMultimap.class,
              Multimaps.unmodifiableSortedSetMultimap(TreeMultimap.create()))
          .put(Multiset.class, ImmutableMultiset.of())
          .put(ImmutableMultiset.class, ImmutableMultiset.of())
          .put(SortedMultiset.class, ImmutableSortedMultiset.of())

 * times when the first style is more useful, use the multimap's {@link #asMap} view (or create a
 * {@code Map<K, Collection<V>>} in the first place).
 *
 * <h3>Example</h3>
 *
 * <p>The following code:
 *
 * {@snippet :
 * ListMultimap<String, String> multimap = ArrayListMultimap.create();
 * for (President pres : US_PRESIDENTS_IN_ORDER) {
 *   multimap.put(pres.firstName(), pres.lastName());
 * }

 * interpretation of the edge value as its multiplicity.)
 *
 * <h3>Building a {@code ValueGraph}</h3>
 *
 * <p>The implementation classes that {@code common.graph} provides are not public, by design. To
 * create an instance of one of the built-in implementations of {@code ValueGraph}, use the {@link
 * ValueGraphBuilder} class:
 *
 * {@snippet :
 * MutableValueGraph<Integer, Double> graph = ValueGraphBuilder.directed().build();
 * }

この（外部開発者の）視点を一時的に採用すると、その *外部 API* に対してパラメータ、ボディ用の Pydantic モデル、レスポンスなどをどこに置くのが自然かがより明確に感じられるでしょう。

///

### コールバック用 APIRouter を作成 { #create-a-callback-apirouter }

まず、1 つ以上のコールバックを含む新しい `APIRouter` を作成します。

{* ../../docs_src/openapi_callbacks/tutorial001_py310.py hl[1,23] *}

### コールバックの path operation を作成 { #create-the-callback-path-operation }

上で作成したのと同じ `APIRouter` を使って、コールバックの *path operation* を作成します。

    private File tempDir;

    @Override
    protected void setUp(TestInfo testInfo) throws Exception {
        super.setUp(testInfo);
        thumbnailJob = new GenerateThumbnailJob();

        // Create temporary directory
        tempDir = Files.createTempDirectory("test").toFile();
        tempDir.deleteOnExit();

        // Setup test components
        testProcessHelper = new TestProcessHelper();

        config = new PropertyConfiguration(props);
    }

    @Test
    @DisplayName("Test constructor with SMB_INFO_ALLOCATION")
    void testConstructorWithSmbInfoAllocation() {
        // Create instance with SMB_INFO_ALLOCATION
        trans2QueryFSInfo = new Trans2QueryFSInformation(config, FileSystemInformation.SMB_INFO_ALLOCATION);

        // Verify initialization
        assertNotNull(trans2QueryFSInfo);

      <plugin>
        <groupId>org.codehaus.mojo</groupId>
        <artifactId>buildnumber-maven-plugin</artifactId>
        <executions>
          <execution>
            <id>create-buildnumber</id>
            <goals>
              <goal>create</goal>
            </goals>
            <configuration>
              <doCheck>false</doCheck>
              <doUpdate>false</doUpdate>

Use as follows:

* Have a language specific prompt - `docs/{language code}/llm-prompt.md`.
* Do a fresh translation of this document into your desired target language (see e.g. the `translate-page` command of the `translate.py`). This will create the translation under `docs/{language code}/docs/_llm-test.md`.
* Check if things are okay in the translation.
* If necessary, improve your language specific prompt, the general prompt, or the English document.

### kubectl (CLI)

  const int64_t n = data.size();
  absl::Status status;
  for (const std::vector<int64_t>& dims :
       std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) {
    // Create C++ Tensor
    Tensor src(tensorflow::DT_STRING, TensorShape(dims));
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      src.flat<tstring>()(i) = data[i];
    }