return response.body().string();
    }
  }

  String bowlingJson(String player1, String player2) {
    return "{'winCondition':'HIGH_SCORE',"
        + "'name':'Bowling',"
        + "'round':4,"
        + "'lastSaved':1367702411696,"
        + "'dateStarted':1367702378785,"
        + "'players':["
        + "{'name':'" + player1 + "','history':[10,8,6,7,8],'color':-13388315,'total':39},"

    private static final Logger log = LoggerFactory.getLogger(WitnessClient.class);

    // Polling and backoff constants (in ms)
    private static final long MAX_POLL_INTERVAL = 5000; // Normal polling: max 5 seconds
    private static final long MAX_ERROR_BACKOFF = 30000; // Error polling: max 30 seconds
    private static final long BASE_POLL_INTERVAL = 1000;
    private static final long BASE_ERROR_DELAY = 1000;

{* ../../docs_src/response_model/tutorial003_01_py310.py hl[7:10,13:14,18] *}

With this, we get tooling support, from editors and mypy as this code is correct in terms of types, but we also get the data filtering from FastAPI.

How does this work? Let's check that out. 🤓

### Type Annotations and Tooling { #type-annotations-and-tooling }

First let's see how editors, mypy and other tools would see this.

 * limitations under the License.
 */
package okhttp3.internal.connection

/**
 * A RoutePlanner that will always establish a new connection, ignoring any connection pooling
 */
class ForceConnectRoutePlanner(
  private val delegate: RealRoutePlanner,
) : RoutePlanner by delegate {
  override fun plan(): RoutePlanner.Plan = delegate.planConnect() // not delegate.plan()

  stars: 3213
  owner_login: TracecatHQ
  owner_html_url: https://github.com/TracecatHQ
- name: opyrator
  html_url: https://github.com/ml-tooling/opyrator
  stars: 3131
  owner_login: ml-tooling
  owner_html_url: https://github.com/ml-tooling
- name: docarray
  html_url: https://github.com/docarray/docarray
  stars: 3098
  owner_login: docarray
  owner_html_url: https://github.com/docarray

                    // 2. Wait for response
                    // 3. Process changes
                    // 4. Notify the lease manager

                    // Use adaptive polling interval based on activity
                    long pollInterval = determinePollInterval(handle);
                    Thread.sleep(pollInterval);

                    // Check if still active

            assertTrue(recvRegion.getSize() > 0, "Receive region should have positive size");
            assertNotNull(recvRegion.getBuffer(), "Receive region buffer should not be null");

            // Test buffer pooling statistics
            long initialAllocated = bufferManager.getTotalAllocated();
            long initialActive = bufferManager.getActiveRegions();

          <!-- excludePackageNames requires specification of packages separately from "all subpackages".
               https://issues.apache.org/jira/browse/MJAVADOC-584 -->
          <excludePackageNames>
            com.azul.tooling.in,com.google.common.base.internal,com.google.common.base.internal.*,com.google.thirdparty.publicsuffix,com.google.thirdparty.publicsuffix.*,com.oracle.*,com.sun.*,java.*,javax.*,jdk,jdk.*,org.*,sun.*
          </excludePackageNames>

        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

  - type: textarea
    attributes:
      label: API(s)

### kubectl rolling-update: < v1.4.0 client vs >=v1.4.0 cluster

Old version kubectl's rolling-update command is compatible with Kubernetes 1.4 and higher only if you specify a new replication controller name. You will need to update to kubectl 1.4 or higher to use the rolling update command against a 1.4 cluster if you want to keep the original name, or you'll have to do two rolling updates.