rfs($fs, $important: false) {\n  // Cache $fs unit\n  $fs-unit: if(type-of($fs) == \"number\", unit($fs), false);\n\n  // Add !important suffix if needed\n  $rfs-suffix: if($important, \" !important\", \"\");\n\n  // If $fs isn't a number (like inherit) or $fs has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n  @if not $fs-unit or $fs-unit != \"\" and $fs-unit != \"px\" and $fs-unit != \"rem\" or $fs == 0 {\n    font-size: #{$fs}#{$rfs-suffix};\n  }\n  @else {\n    // Variables for...

import org.codelibs.fess.entity.SearchRequestParams;
import org.codelibs.fess.mylasta.action.FessUserBean;
import org.codelibs.fess.rank.fusion.SearchResult.SearchResultBuilder;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.QueryResponseList;
import org.dbflute.optional.OptionalThing;

public class RankFusionProcessorTest extends UnitFessTestCase {

import org.codelibs.fess.query.TermQueryCommand;
import org.codelibs.fess.query.TermRangeQueryCommand;
import org.codelibs.fess.query.WildcardQueryCommand;
import org.codelibs.fess.query.parser.QueryParser;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.util.DfTypeUtil;
import org.opensearch.index.query.BoolQueryBuilder;
import org.opensearch.index.query.QueryBuilder;

import org.opensearch.action.support.WriteRequest.RefreshPolicy;
import org.opensearch.action.support.master.AcknowledgedResponse;
import org.opensearch.cluster.metadata.MappingMetadata;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.core.rest.RestStatus;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.index.IndexNotFoundException;

 l({},L(this))},yt.set=function(e,a){if("object"==typeof e)for(var t=function(e){var a,t=[];for(a in e)h(e,a)&&t.push({unit:a,priority:R[a]});return t.sort(function(e,a){return e.priority-a.priority}),t}(e=J(e)),s=0;s<t.length;s++)this[t[s].unit](e[t[s].unit]);else if(v(this[e=N(e)]))return this[e](a);return this},yt.startOf=function(e){var a,t;if(void 0===(e=N(e))||"millisecond"===e||!this.isValid())return this;switch(t=this._isUTC?it:dt,e){case"year":a=t(this.year(),0,1);break;case"quarter":a=...

   * async task to do so.
   */
  inner class ReaderRunnable internal constructor(
    internal val reader: Http2Reader,
  ) : Http2Reader.Handler, () -> Unit {
    override fun invoke() {
      var connectionErrorCode = ErrorCode.INTERNAL_ERROR
      var streamErrorCode = ErrorCode.INTERNAL_ERROR
      var errorException: IOException? = null
      try {

And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.

Bu senaryoda, temizlikçilerin her biri (siz dahil) birer işlemci olacak ve üzerine düşeni yapacaktır.

Yürütme süresinin çoğu (beklemek yerine) iş yapıldığından ve bilgisayardaki iş bir <abbr title="Central Processing Unit">CPU</abbr> tarafından yapıldığından, bu sorunlara "CPU bound" diyorlar".

---

CPU'ya bağlı işlemlerin yaygın örnekleri, karmaşık matematik işlemleri gerektiren işlerdir.

Örneğin:

	"github.com/minio/minio/internal/mcontext"
	"github.com/minio/pkg/v3/console"
	"github.com/minio/pkg/v3/env"
)

// Indicator if logging is enabled.
var dsyncLog bool

// Retry unit interval
var lockRetryMinInterval time.Duration

var lockRetryBackOff func(*rand.Rand, uint) time.Duration

func init() {

HSPLkotlin/UNINITIALIZED_VALUE;-><clinit>()V
HSPLkotlin/UNINITIALIZED_VALUE;-><init>()V
HSPLkotlin/Unit;-><clinit>()V
HSPLkotlin/Unit;-><init>()V
HSPLkotlin/collections/AbstractCollection;-><init>()V
HSPLkotlin/collections/AbstractList;-><init>()V
HSPLkotlin/collections/AbstractMutableList;-><init>()V