}

    ReleasedVersion releasedVersion(String version, long date = System.currentTimeMillis()) {
        new ReleasedVersion(version, format.format(new Date(date)))
    }

    ReleasedVersion snapshot(String baseVersion, long date = System.currentTimeMillis()) {
        releasedVersion("${baseVersion}-${format.format(new Date(date))}", date)
    }

    }

    ReleasedVersion releasedVersion(String version, long date = System.currentTimeMillis()) {
        new ReleasedVersion(version, format.format(new Date(date)))
    }

    ReleasedVersion snapshot(String baseVersion, long date = System.currentTimeMillis()) {
        releasedVersion("${baseVersion}-${format.format(new Date(date))}", date)
    }

        date_part = match.group(2)

        if date_part:
            print(f"Latest release {version} already has a date: {date_part}")
            sys.exit(0)

        today = date.today().isoformat()
        lines[i] = f"## {version} ({today})\n"
        print(f"Added date: {version} ({today})")

        with open(RELEASE_NOTES_FILE, "w") as f:
            f.writelines(lines)
        sys.exit(0)

        assertEquals("\"boolKey\":\"true\"", buf.toString());
    }

    // Test append method with Date value (other object type)
    @Test
    public void test_append_dateValue() {
        StringBuilder buf = new StringBuilder();
        Date date = new Date(1609459200000L);
        Supplier<Object> supplier = () -> date;

        monitorTarget.append(buf, "dateKey", supplier);
        String result = buf.toString();

    @Test
    public void test_ofNullable_withDate() {
        Date testValue = new Date();
        OptionalEntity<Date> result = OptionalUtil.ofNullable(testValue);

        assertNotNull(result);
        assertTrue(result.isPresent());
        assertEquals(testValue, result.get());
    }

    @Test
    public void test_ofNullable_withNullDate() {
        Date testValue = null;

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

        language: unsupported
        name: fix translations
        entry: uv run ./scripts/translation_fixer.py fix-pages
        files: ^docs/(?!en/).*/docs/.*\.md$

      - id: add-release-date
        language: unsupported
        name: add date to latest release header
        entry: uv run python scripts/add_latest_release_date.py
        files: ^docs/en/docs/release-notes\.md$

# Don't use the bazel cache when a new docker image is created.
RUN echo build --action_env=DOCKER_CACHEBUSTER=$(date +%s%N)$RANDOM >> /etc/bazel.bazelrc

  "durations" : [ {
    "testProject" : "largeJavaMultiProject",
    "linux" : 648
  }, {
    "testProject" : "largeMonolithicJavaProject",
    "linux" : 289
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIncrementalExecutionPerformanceTest.up-to-date assemble (parallel true)",
  "durations" : [ {

        ensureOperations();
        return wordMgmtOps.restoreElevateWord(index);
    }

    /**
     * Deletes old words based on a threshold date.
     * @param threshold The threshold date.
     * @return The SuggestDeleteResponse.
     */
    public SuggestDeleteResponse deleteOldWords(final ZonedDateTime threshold) {
        ensureOperations();