public <T extends @Nullable Object> T[] toArray(T[] array) {
            T[] result = super.toArray(array);
            if (size() < result.length) {
              // It works around a GWT bug where elements after last is not
              // properly null'ed.
              @Nullable Object[] unsoundlyCovariantArray = result;
              unsoundlyCovariantArray[size()] = null;
            }

import java.util.concurrent.TimeUnit
import org.junit.jupiter.api.AfterEach
import org.junit.jupiter.api.Tag
import org.junit.jupiter.api.Test

/**
 * Integration test to confirm that [TaskRunner] works with a real backend. Business logic is all
 * exercised by [TaskRunnerTest].
 *
 * This test is doing real sleeping with tolerances of 250 ms. Hopefully that's enough for even the
 * busiest of CI servers.
 */

  - 'Recipes': recipes.md
  - 'Security':
    - 'Security': security/security.md
    - 'Providers': security/security_providers.md
    - 'Configuration History': security/tls_configuration_history.md
  - 'Works with OkHttp': works_with_okhttp.md
  - 'API': 5.x/okhttp/okhttp3/
  - 'Change Logs':
    - 'Change Log': changelogs/changelog.md
    - '4.x Change Log': changelogs/changelog_4x.md

   *
   * @param pattern the pattern on which to filter file names
   */
  public PatternFilenameFilter(Pattern pattern) {
    this.pattern = Preconditions.checkNotNull(pattern);
  }

  /*
   * Our implementation works fine with a null `dir`. However, there's nothing in the documentation
   * of the supertype that suggests that implementations are expected to tolerate null. That said, I

//	{
//		outcode(int($1), &$2, int($4.Reg), &$6);
//	}
	ADDD	F1, F2, F3

//	LFCMP freg ',' freg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	CMPEQD	F1, F2


//
// WORD
//
	WORD	$1	// 00000001
	NOOP		// 00000000
	SYNC		// 0000000f

//
// NOP
//
//	LNOP comma // asm doesn't support the trailing comma.
//	{
//		outcode(int($1), &nullgen, 0, &nullgen);
//	}

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

///

Чтобы **изучить основы HTTPS** для клиента, перейдите по ссылке <a href="https://howhttps.works/" class="external-link" target="_blank">https://howhttps.works/</a>.

Здесь же представлены некоторые концепции, которые **разработчик** должен иметь в виду при размышлениях об HTTPS:

</p>

<p>
Reads of memory locations larger than a single machine word
are encouraged but not required to meet the same semantics
as word-sized memory locations,
observing a single allowed write <i>w</i>.
For performance reasons,
implementations may instead treat larger operations
as a set of individual machine-word-sized operations
in an unspecified order.
This means that races on multiword data structures

And an `APIRoute` subclass to use that custom request class.

### Create a custom `GzipRequest` class

/// tip

This is a toy example to demonstrate how it works, if you need Gzip support, you can use the provided [`GzipMiddleware`](../advanced/middleware.md#gzipmiddleware){.internal-link target=_blank}.

///

	//	{
	//		outcode(int($1), &$2, int($4.Reg), &$6);
	//	}
	ADDD	F1, F2, F3

	//	LFCMP freg ',' freg
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	CMPEQD	F1, F2


	//
	// WORD
	//
	WORD	$1

	//
	// NOP
	//
	//	LNOP comma // asm doesn't support the trailing comma.
	//	{
	//		outcode(int($1), &nullgen, 0, &nullgen);
	//	}
	NOP