SearchHelper.SearchRequestParamsRewriter rewriter1 = p -> {
            ((MockSearchRequestParams) p).setQuery("rewritten1");
            return p;
        };
        SearchHelper.SearchRequestParamsRewriter rewriter2 = p -> {
            ((MockSearchRequestParams) p).setQuery("rewritten2");
            return p;
        };

        searchHelper.addRewriter(rewriter1);
        searchHelper.addRewriter(rewriter2);

    private void cleanUpIssueLinks(Document document) {
        String rewritten = document.body().html();
        // Turn Gradle Jira issue numbers into issue links
        rewritten = rewritten.replaceAll("GRADLE-\\d+", "<a href=\"https://issues.gradle.org/browse/$0\">$0</a>");
        // Turn Gradle Github issue numbers into issue links

    // is that the ClassLoader of this test is a URLClassLoader, and that it loads FRQ itself
    // rather than delegating to a parent ClassLoader. If this assumption is violated the test will
    // fail and will need to be rewritten.

    Class<?> frqC = FinalizableReferenceQueue.class;
    Class<?> sepFrqC = sepLoader.loadClass(frqC.getName());
    assertThat(frqC).isNotSameInstanceAs(sepFrqC);
    // Check the assumptions above.

    // is that the ClassLoader of this test is a URLClassLoader, and that it loads FRQ itself
    // rather than delegating to a parent ClassLoader. If this assumption is violated the test will
    // fail and will need to be rewritten.

    Class<?> frqC = FinalizableReferenceQueue.class;
    Class<?> sepFrqC = sepLoader.loadClass(frqC.getName());
    assertThat(frqC).isNotSameInstanceAs(sepFrqC);
    // Check the assumptions above.

	printString("type is bool or string")  // type of i is type of x (interface{})
default:
	printString("don't know the type")     // type of i is type of x (interface{})
}
</pre>

<p>
could be rewritten:
</p>

<pre>
v := x  // x is evaluated exactly once
if v == nil {
	i := v                                 // type of i is type of x (interface{})
	printString("x is nil")

    `tf.spectral.irfft`.
*   Exported model signatures using the 'predict' method will no longer have
    their input and output keys silently ignored and rewritten to 'inputs' and
    'outputs'. If a model was exported with different names before 1.2, and is
    now served with tensorflow/serving, it will accept requests using 'inputs'

has all the typing information as `User`, so your editor will work as expected (autocompletion and everything), and **FastAPI** will be able to understand the dependency defined in `Annotated`. 😎

Roughly **all the docs** have been rewritten to use `Annotated` as the main way to declare **parameters** and **dependencies**. All the **examples** in the docs now include a version with `Annotated` and a version without it, for each of the specific Python versions (when there are small d...