// An update strategy to replace existing DaemonSet pods with new pods.
  // +optional
  optional DaemonSetUpdateStrategy updateStrategy = 3;

  // The minimum number of seconds for which a newly created DaemonSet pod should
  // be ready without any of its container crashing, for it to be considered
  // available. Defaults to 0 (pod will be considered available as soon as it
  // is ready).

import static java.util.concurrent.Executors.newCachedThreadPool;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;
import static org.junit.Assert.assertThrows;

import com.google.common.base.Stopwatch;
import java.util.Collection;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;

    dispatcher.enqueueResponse(
      MockResponse.Builder()
        .bodyDelay(10, TimeUnit.SECONDS)
        .body("abc")
        .build(),
    )
    dispatcher.enqueueResponse(
      MockResponse.Builder()
        .bodyDelay(10, TimeUnit.SECONDS)
        .body("def")
        .build(),
    )
    dispatcher.enqueueResponse(
      MockResponse(body = "ghi"),
    )

| user               | string                                  | Identifier for owner of requested credentials          |
| maxValiditySeconds | integer (>= 900 seconds and < 365 days) | Maximum allowed expiry duration for the credentials    |
| claims             | key-value pairs                         | Claims to be associated with the requested credentials |

* `datetime.timedelta`:
    * A Python `datetime.timedelta`.
    * In requests and responses will be represented as a `float` of total seconds.
    * Pydantic also allows representing it as a "ISO 8601 time diff encoding", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers" class="external-link" target="_blank">see the docs for more info</a>.

message HorizontalPodAutoscalerBehavior {
  // scaleUp is scaling policy for scaling Up.
  // If not set, the default value is the higher of:
  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.

  // the webhook call will be ignored or the API call will fail based on the
  // failure policy.
  // The timeout value must be between 1 and 30 seconds.
  // Default to 10 seconds.
  // +optional
  optional int32 timeoutSeconds = 7;

  // AdmissionReviewVersions is an ordered list of preferred `AdmissionReview`

Esse código declara um parâmetro de consulta opcional, `q`, com o tipo `str`, e então retorna esse parâmetro.

Isso é bastante simples (e não muito útil), mas irá nos ajudar a focar em como as subdependências funcionam.

## Segunda dependência, "injetável" e "dependente"

Então, você pode criar uma outra função para uma dependência (um "injetável") que ao mesmo tempo declara sua própria dependência (o que faz dela um "dependente" também):

  fun get() {
    val executor = Executors.newCachedThreadPool()

    val completableFuture = execute(engine, executor, "https://google.com/robots.txt")

    try {
      val response = completableFuture.get(10, TimeUnit.SECONDS)

      assertEquals(200, response.code)
      assertEquals("h3", response.negotiatedProtocol)
      assertTrue(response.content.contains("Disallow"))
    } catch (ee: ExecutionException) {

            try {
              proceed.await(5, TimeUnit.SECONDS)
            } catch (e: InterruptedException) {
              throw RuntimeException(e)
            }
            chain.proceed(chain.request())
          },
        )
        .build()
    val t1 = makeSynchronousCall(client.newCall(newRequest("http://a/3")))
    ready.await(5, TimeUnit.SECONDS)
    executor.finishJob("http://a/2")