*   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.
 *   <li>{@code FluentIterable} contains several features not available on {@code Stream}, which are
 *       noted in the method descriptions below.

---

"_**Netflix** は、**危機管理**オーケストレーションフレームワーク、**Dispatch**のオープンソースリリースを発表できることをうれしく思います。 [built with **FastAPI**]_"

   * per call to submit() or submitAsync(), and each instance supports only one call to execute().
   *
   * <p>This class would certainly be simpler and easier to reason about if it were built with
   * ThreadLocal; however, ThreadLocal is not well optimized for the case where the ThreadLocal is
   * non-static, and is initialized/removed frequently - this causes churn in the Thread specific

        assertArgumentNotNull("options", options);

        final T dest = ClassUtil.newInstance(destClass);
        copyMapToMap(src, dest, options);
        return dest;
    }

    /**
     * Builds {@link CopyOptions} from a {@link Consumer}.
     *
     * @param option
     *            the option
     * @return the copy options
     */

			b = strconv.AppendInt(b, int64(i), 10)
			got.Write(b)
		}
	})
	if n > 0 {
		t.Errorf("allocations occurred while appending")
	}
}

func TestRuneIO(t *testing.T) {
	const NRune = 1000
	// Built a test slice while we write the data
	b := make([]byte, utf8.UTFMax*NRune)
	var buf Buffer
	n := 0
	for r := rune(0); r < NRune; r++ {
		size := utf8.EncodeRune(b[n:], r)
		nbytes, err := buf.WriteRune(r)

 * calculate <i>only</i> the mean.
 *
 * <p><b>Java 8+ users:</b> If you are not using any of the variance statistics, you may wish to use
 * built-in JDK libraries instead of this class.
 *
 * @author Pete Gillin
 * @author Kevin Bourrillion
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Stats implements Serializable {

	paxGNUSparseMinor     = "GNU.sparse.minor"
	paxGNUSparseSize      = "GNU.sparse.size"
	paxGNUSparseRealSize  = "GNU.sparse.realsize"
)

// basicKeys is a set of the PAX keys for which we have built-in support.
// This does not contain "charset" or "comment", which are both PAX-specific,
// so adding them as first-class features of Header is unlikely.
// Users can use the PAXRecords field to set it themselves.

                }
            }
        }
        if (failureBuf.length() > 0) {
            throw new OpenSearchAccessException(failureBuf.toString());
        }
    }

    /**
     * Builds a failure message from a bulk response containing failed operations.
     *
     * @param bulkResponse The bulk response containing potential failures.

		// Built-in user should be imported without errors even if LDAP is
		// enabled.
		allUsersFile: `{
  "foo": {
    "secretKey": "foobar123",
    "status": "enabled"
  }
}
`,
		// Built-in groups should be imported without errors even if LDAP is
		// enabled.
		allGroupsFile: `{
  "mygroup": {

---

Typische Beispiele für CPU-lastige Vorgänge sind Dinge, die komplexe mathematische Berechnungen erfordern.

Zum Beispiel:

* **Audio-** oder **Bildbearbeitung**.
* **Computer Vision**: Ein Bild besteht aus Millionen von Pixeln, jedes Pixel hat 3 Werte / Farben, die Verarbeitung erfordert normalerweise, Berechnungen mit diesen Pixeln durchzuführen, alles zur gleichen Zeit.