this.facetResponse = facetResponse;
            return this;
        }

        /**
         * Builds and returns the final SearchResult instance.
         *
         * @return A new SearchResult instance with the configured properties
         */
        public SearchResult build() {
            return new SearchResult(documentList, //
                    allRecordCount, //

# Run all "tfrun" commands under Docker. See setup_docker.sh for details
if [[ "$TFCI_DOCKER_ENABLE" == 1 ]]; then
  source ./ci/official/utilities/setup_docker.sh
fi

# Generate an overview page describing the build
if [[ "$TFCI_INDEX_HTML_ENABLE" == 1 ]]; then
  ./ci/official/utilities/generate_index_html.sh "$TFCI_OUTPUT_DIR/index.html"
fi

# Re-try `bazel --version` multiple times to get around
# Bazel download issues.

            defaultRoleList.add(name);
        }));
    }

    /**
     * Builds a set of roles from the request.
     * @param searchRequestType The type of the search request.
     * @return A set of roles.
     */
    public Set<String> build(final SearchRequestType searchRequestType) {
        final Set<String> roleSet = new HashSet<>();

        // create ES nodes
        final String clusterName = UUID.randomUUID().toString();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        }).build(newConfigs().clusterName(clusterName).numOfNode(1));

        // wait for yellow status
        runner.ensureYellow();

     * Shortcut for {@code getService(DependencyResolver.class).flatten(...)}.
     *
     * @param node node for which to get a flattened list
     * @param scope build path scope (main compile, test compile, etc.) of desired nodes
     * @return flattened list of node with the given build path scope
     * @throws org.apache.maven.api.services.DependencyResolverException if the dependency flattening failed
     *

* **Starlette**:
    * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.
    * But it provides you the tools to build simple web applications, with routing based on paths, etc.
    * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks).
* **FastAPI**:

                .setConnectionManager(clientConnectionManager)
                .setDefaultRequestConfig(requestConfigBuilder.build())
                .build();
        if (!httpClientPropertyMap.isEmpty()) {
            final BeanDesc beanDesc = BeanDescFactory.getBeanDesc(closeableHttpClient.getClass());

    ExecutionException ee = new ExecutionException(cause);

    LoadingCache<Object, Object> cacheUnchecked =
        CacheBuilder.newBuilder().build(exceptionLoader(uee));
    LoadingCache<Object, Object> cacheChecked =
        CacheBuilder.newBuilder().build(exceptionLoader(ee));

    UncheckedExecutionException caughtUee =
        assertThrows(UncheckedExecutionException.class, () -> cacheUnchecked.get(new Object()));

        }

        public Builder withRootDirectory(@Nullable Path rootDirectory) {
            this.rootDirectory = rootDirectory;
            return this;
        }

        public ProtoSession build() {
            return new Impl(userProperties, systemProperties, startTime, topDirectory, rootDirectory);
        }

        private static class Impl implements ProtoSession {

        .addHeader("Location: /bar")
        .build(),
    )
    server.enqueue(
      MockResponse
        .Builder()
        .body("ABC")
        .build(),
    )
    server.enqueue(
      MockResponse
        .Builder()
        .body("ABC")
        .build(),
    )
    val request1 = Request.Builder().url(server.url("/")).build()
    val response1 = client.newCall(request1).execute()