// Test with populated list
        List<Map<String, Object>> documentItems = new ArrayList<>();
        Map<String, Object> doc1 = new HashMap<>();
        doc1.put("title", "Test Document 1");
        doc1.put("content", "Test content 1");
        documentItems.add(doc1);

        Map<String, Object> doc2 = new HashMap<>();
        doc2.put("title", "Test Document 2");
        doc2.put("content", "Test content 2");

        return null // Nothing to do.
      }

      val now = backend.nanoTime()
      var minDelayNanos = Long.MAX_VALUE
      var readyTask: Task? = null
      var multipleReadyTasks = false

      // Decide what to run. This loop's goal wants to:
      //  * Find out what this thread should do (either run a task or sleep)
      //  * Find out if there's enough work to start another thread.

    val existingRouteSelection = routeSelection
    if (existingRouteSelection != null && existingRouteSelection.hasNext()) {
      return planConnectToRoute(existingRouteSelection.next())
    }

    // Decide which proxy to use, if any. This may block in ProxySelector.select().
    var newRouteSelector = routeSelector
    if (newRouteSelector == null) {
      newRouteSelector =
        RouteSelector(

@DoNotMock("Use ImmutableRangeMap or TreeRangeMap")
@GwtIncompatible
public interface RangeMap<K extends Comparable, V> {
  /*
   * TODO(cpovirk): These docs sometimes say "map" and sometimes say "range map." Pick one, or at
   * least decide on a policy for when to use which.
   */

  /**
   * Returns the value associated with the specified key, or {@code null} if there is no such value.
   *

     *
     * @param <P>           the type of problem
     * @param maxCountLimit the maximum number of problems to preserve
     * @param filter        predicate to decide which problems to record
     * @return a new filtered problem collector instance
     */
    @Nonnull
    static <P extends BuilderProblem> ProblemCollector<P> create(int maxCountLimit, Predicate<? super P> filter) {

Interceptors can be chained. Suppose you have both a compressing interceptor and a checksumming interceptor: you'll need to decide whether data is compressed and then checksummed, or checksummed and then compressed. OkHttp uses lists to track interceptors, and interceptors are called in order.

![Interceptors Diagram](../assets/images/******@****.***)

        int wcRecordCount2 = JsonPath.from(wcResponse2).getInt("record_count");
        assertEquals(recordCount, wcRecordCount2);

        List<Map<String, Object>> docs1 = JsonPath.from(wcResponse1).getList("data");
        for (Map<String, Object> doc : docs1) {
            assertTrue(doc.get(field).toString().toLowerCase().contains(query), doc.toString());
        }

        @Override
        public Integer getSuggestUpdateContentsLimitDocSizeAsInteger() {
            return 50000;
        }

        @Override
        public String getIndexFieldDocId() {
            return "doc_id";
        }

        @Override
        public String getIndexFieldClickCount() {
            return "click_count";
        }

        @Override
        public String getIndexDocumentSearchIndex() {

The dictionary in `openapi_extra` will be deeply merged with the automatically generated OpenAPI schema for the *path operation*.

So, you could add additional data to the automatically generated schema.

For example, you could decide to read and validate the request with your own code, without using the automatic features of FastAPI with Pydantic, but you could still want to define the request in the OpenAPI schema.

You could do that with `openapi_extra`:

            @Override
            public String getIndexFieldId() {
                return "_id";
            }

            @Override
            public String getIndexFieldDocId() {
                return "doc_id";
            }

            @Override
            public String getIndexFieldBoost() {
                return "boost";
            }

            @Override