stream(path.split(File.pathSeparator)).of(stream -> stream.map(String::trim).forEach(s -> pathList.add(s)));
            }
            if (logger.isDebugEnabled()) {
                logger.debug("search paths: {}", pathList);
            }
            available = generatorList.stream().map(s -> {
                if (s.startsWith("${path}")) {
                    for (final String p : pathList) {

import org.lastaflute.web.ruts.process.ActionRuntime;
import org.lastaflute.web.util.LaRequestUtil;
import org.lastaflute.web.util.LaServletContextUtil;
import org.opensearch.core.common.text.Text;
import org.opensearch.search.fetch.subphase.highlight.HighlightField;

import com.github.jknack.handlebars.Context;
import com.github.jknack.handlebars.Handlebars;
import com.github.jknack.handlebars.Template;

   * second" (commonly referred to as <i>QPS</i>, queries per second), and a <i>warmup period</i>,
   * during which the {@code RateLimiter} smoothly ramps up its rate, until it reaches its maximum
   * rate at the end of the period (as long as there are enough requests to saturate it). Similarly,
   * if the {@code RateLimiter} is left <i>unused</i> for a duration of {@code warmupPeriod}, it

   * given to [connectionUser] who may (for example) assign it to a [RealCall.connection].
   *
   * This confirms the returned connection is healthy before returning it. If this encounters any
   * unhealthy connections in its search, this will clean them up.
   *
   * If [routes] is non-null these are the resolved routes (ie. IP addresses) for the connection.
   * This is used to coalesce related domains to the same HTTP/2 connection, such as `square.com`

    } catch (ClassCastException e) {
      return false;
    }
  }

  @Override
  public boolean containsAll(Collection<?> targets) {
    // TODO(jlevy): For optimal performance, use a binary search when
    // targets.size() < size() / log(size())
    // TODO(kevinb): see if we can share code with OrderedIterator after it
    // graduates from labs.
    if (targets instanceof Multiset) {

   * second" (commonly referred to as <i>QPS</i>, queries per second), and a <i>warmup period</i>,
   * during which the {@code RateLimiter} smoothly ramps up its rate, until it reaches its maximum
   * rate at the end of the period (as long as there are enough requests to saturate it). Similarly,
   * if the {@code RateLimiter} is left <i>unused</i> for a duration of {@code warmupPeriod}, it

    // ===================================================================================
    //                                                                      Search Execute
    //                                                                      ==============

    // GET /api/admin/stats
    @Execute
    public JsonResponse<ApiResult> index() {

```Python
{!> ../../docs_src/app_testing/app_b/test_main.py!}
```

Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design.

Then you just do the same in your tests.

E.g.:

 * Google search:
 *
 * ```java
 * HttpUrl url = new HttpUrl.Builder()
 *     .scheme("https")
 *     .host("www.google.com")
 *     .addPathSegment("search")
 *     .addQueryParameter("q", "polar bears")
 *     .build();
 * System.out.println(url);
 * ```
 *
 * which prints:
 *
 * ```
 * https://www.google.com/search?q=polar%20bears
 * ```
 *

   * i, i + target.length)} contains exactly the same elements as {@code target}.
   *
   * @param array the array to search for the sequence {@code target}
   * @param target the array to search for as a sub-sequence of {@code array}
   */
  public static int indexOf(int[] array, int[] target) {
    checkNotNull(array, "array");
    checkNotNull(target, "target");