// the size of 'retvals' is less than the number of outputs. This call sets
// *num_retvals to the number of outputs.
//
// If async execution is enabled, the call may simply enqueue the execution
// and return "non-ready" handles in `retvals`. Note that any handles contained
// in 'op' should not be mutated till the kernel execution actually finishes.
//

        .build()
    assertThat(okHttpClient.protocols.size).isEqualTo(1)
    assertThat(okHttpClient.protocols[0]).isEqualTo(Protocol.H2_PRIOR_KNOWLEDGE)
  }

  @Test fun nullDefaultProxySelector() {
    server!!.enqueue(MockResponse(body = "abc"))
    ProxySelector.setDefault(null)
    val client = clientTestRule.newClient()
    val request = Request(server!!.url("/"))
    val response = client.newCall(request).execute()

import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

    </dependency>
    ```

 *  **Fix: improve parallelism of async requests.** OkHttp's Dispatcher had a
    misconfigured `ExecutorService` that limited the number of worker threads.
    If you're using `Call.enqueue()` this update should significantly improve
    request concurrency.

 *  **Fix: Lazily initialize the response cache.** This avoids strict mode
    warnings when initializing OkHttp on Android‘s main thread.

import com.google.errorprone.annotations.InlineMe;
import com.google.errorprone.annotations.InlineMeValidationDisabled;
import java.util.ArrayDeque;
import java.util.Collection;
import java.util.Deque;
import java.util.Iterator;
import java.util.OptionalDouble;
import java.util.OptionalInt;
import java.util.OptionalLong;
import java.util.PrimitiveIterator;
import java.util.Spliterator;
import java.util.Spliterators;

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

## Conflict Resolution

Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between.

If the behavior is threatening or harassing, or for other reasons requires immediate escalation, please see below.

a.ActiveXObject("Microsoft.XMLHTTP")}return function(){return b}}(),f=function(a,b){var c=e();c&&(c.open("GET",a,!0),c.onreadystatechange=function(){4!==c.readyState||200!==c.status&&304!==c.status||b(c.responseText)},4!==c.readyState&&c.send(null))};if(c.ajax=f,c.queue=d,c.regex={media:/@media[^\{]+\{([^\{\}]*\{[^\}\{]*\})+/gi,keyframes:/@(?:\-(?:o|moz|webkit)\-)?keyframes[^\{]+\{(?:[^\{\}]*\{[^\}\{]*\})+[^\}]*\}/gi,urls:/(url\()['"]?([^\/\)'"][^:\)'"]+)['"]?(\))/g,findStyles:/@media *([^\{]+)\{([\S\s]+?)$/,only...

  // +optional
  optional string apiVersion = 3;
}

// ExternalMetricSource indicates how to scale on a metric not associated with
// any Kubernetes object (for example length of queue in cloud
// messaging service, or QPS from loadbalancer running outside of cluster).
message ExternalMetricSource {
  // metricName is the name of the metric in question.
  optional string metricName = 1;

The Push Queue is mostly a normal queue, but it has some special logic to merge push requests for each given proxy. This results in each proxy having 0 or 1 outstanding push requests; if additional updates come in the existing push request is just expanded.

Another job polls this queue and triggers each client to start a push.

```mermaid
graph TD