import java.util.TreeMap;
import java.util.concurrent.ConcurrentMap;
import junit.framework.TestCase;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * Unit test for {@code Maps}.
 *
 * @author Kevin Bourrillion
 * @author Mike Bostock
 * @author Jared Levy
 */
@GwtCompatible
@NullMarked
@SuppressWarnings("JUnitIncompatibleType") // Many intentional violations here.

import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * Unit test for {@code Iterators}.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
@NullMarked
public class IteratorsTest extends TestCase {

  @J2ktIncompatible
  @GwtIncompatible // suite

이 시나리오에서, (당신을 포함한) 각각의 청소부들은 프로세서가 될 것이고, 각자의 역할을 수행합니다.

실행 시간의 대부분이 대기가 아닌 실제 작업에 소요되고, 컴퓨터에서 작업은 <abbr title="Central Processing Unit">CPU</abbr>에서 이루어지므로, 이러한 문제를 "CPU에 묶였"다고 합니다.

---

CPU에 묶인 연산에 관한 흔한 예시는 복잡한 수학 처리를 필요로 하는 경우입니다.

예를 들어:

* **오디오** 또는 **이미지** 처리.

import java.util.TreeMap;
import java.util.concurrent.ConcurrentMap;
import junit.framework.TestCase;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * Unit test for {@code Maps}.
 *
 * @author Kevin Bourrillion
 * @author Mike Bostock
 * @author Jared Levy
 */
@GwtCompatible
@NullMarked
@SuppressWarnings("JUnitIncompatibleType") // Many intentional violations here.

econds_summary and *_admission_latencies_milliseconds metrics due to reporting wrong unit (was labelled milliseconds, but reported seconds), and multiple naming guideline violations (units should be in base units and "duration" is the best practice labelling to measure the time a request takes). Please convert to use *_admission_duration_seconds and *_admission_duration_seconds_summary, these now report the unit as described, and follow the instrumentation best practices. ([#75279](https://githu...

このシナリオでは、清掃員 (あなたを含む) のそれぞれがプロセッサとなり、それぞれの役割を果たします。

また、実行時間のほとんどは (待機ではなく) 実際の作業に費やされ、コンピュータでの作業は<abbr title="Central Processing Unit">CPU</abbr>によって行われます。これらの問題は「CPUバウンド」と言います。

---

CPUバウンド操作の一般的な例は、複雑な数学処理が必要なものです。

例えば:

* **オーディオ** や **画像処理**。
* **コンピュータビジョン**: 画像は数百万のピクセルで構成され、各ピクセルには3つの値/色があり、通常、これらのピクセルで何かを同時に計算する必要がある処理。

    val maxConcurrentStreams = AtomicInteger()
    val listener: Http2Connection.Listener =
      object : Http2Connection.Listener() {
        override fun onStream(stream: Http2Stream): Unit = throw AssertionError()

        override fun onSettings(
          connection: Http2Connection,
          settings: Settings,
        ) {
          maxConcurrentStreams.set(settings.getMaxConcurrentStreams())

$result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-font-size for calculations\n@if $rfs-base-font-size-unit == \"px\"...

	defer setObjectLayer(z)

	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	attempt := 1
	for {
		var err error
		bootstrapTrace(fmt.Sprintf("poolMeta.Init: loading pool metadata, attempt: %d", attempt), func() {
			err = z.Init(ctx) // Initializes all pools.
		})
		if err != nil {
			if !configRetriableErrors(err) {
				logger.Fatal(err, "Unable to initialize backend")
			}

- Fixed a bug where init containers may fail to start due to a temporary container runtime failure. ([#127212](https://github.com/kubernetes/kubernetes/pull/127212), [@SergeyKanzhelev](https://github.com/SergeyKanzhelev)) [SIG Node]