*   <li>Streams include primitive-specialized variants such as {@code IntStream}, the use of which
 *       is strongly recommended.
 *   <li>Streams are standard Java, not requiring a third-party dependency (but do render your code
 *       incompatible with Java 7 and earlier).
 * </ul>
 *
 * <h3>Example</h3>
 *
 * <p>Here is an example that accepts a list from a database call, filters it based on a predicate,

* **Bilgisayar görüsü**: bir görüntü milyonlarca pikselden oluşur, her pikselin 3 değeri / rengi vardır, bu pikseller üzerinde aynı anda bir şeyler hesaplamayı gerektiren işleme.
* **Makine Öğrenimi**: Çok sayıda "matris" ve "vektör" çarpımı gerektirir. Sayıları olan ve hepsini aynı anda çarpan büyük bir elektronik tablo düşünün.

      }
      flowControlListener.receivingConnectionWindowChanged(readBytes)
    }
  }

  /**
   * Returns a new server-initiated stream.
   *
   * @param associatedStreamId the stream that triggered the sender to create this stream.
   * @param out true to create an output stream that we can use to send data to the remote peer.
   *     Corresponds to `FLAG_FIN`.
   */
  @Throws(IOException::class)
  fun pushStream(

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

            this.updateCalendars();

            //update the form inputs above the calendars with the new time
            this.updateFormInputs();

            //re-render the time pickers because changing one selection can affect what's enabled in another
            this.renderTimePicker('left');
            this.renderTimePicker('right');

        },

* **Maschinelles Lernen**: Normalerweise sind viele „Matrix“- und „Vektor“-Multiplikationen erforderlich. Stellen Sie sich eine riesige Tabelle mit Zahlen vor, in der Sie alle Zahlen gleichzeitig multiplizieren.

        final File file = new File(realPath);
        return file.isFile();
    }

    /**
     * Creates cached content with highlighting for a document.
     * Uses Handlebars templates to render the cached content.
     *
     * @param doc the document data map
     * @param queries the search queries for highlighting
     * @return the rendered cache content
     */

ers:before{content:"\f0c0"}.fa-users-cog:before{content:"\f509"}.fa-usps:before{content:"\f7e1"}.fa-ussunnah:before{content:"\f407"}.fa-utensil-spoon:before{content:"\f2e5"}.fa-utensils:before{content:"\f2e7"}.fa-vaadin:before{content:"\f408"}.fa-vector-square:before{content:"\f5cb"}.fa-venus:before{content:"\f221"}.fa-venus-double:before{content:"\f226"}.fa-venus-mars:before{content:"\f228"}.fa-viacoin:before{content:"\f237"}.fa-viadeo:before{content:"\f2a9"}.fa-viadeo-square:before{content:"\f...

build:release_arm64_linux --crosstool_top="@ml2014_clang_aarch64_config_aarch64//crosstool:toolchain"
build:release_arm64_linux --config=mkl_aarch64_threadpool
build:release_arm64_linux --copt=-flax-vector-conversions
test:release_arm64_linux --flaky_test_attempts=3

build:release_cpu_macos --config=avx_linux

# Base build configs for macOS
build:release_macos_base --config=clang_local

		for {
			tok = p.nextToken()
			if len(operands) == 0 && len(items) == 0 {
				if p.arch.InFamily(sys.ARM, sys.ARM64, sys.AMD64, sys.I386, sys.Loong64, sys.RISCV64) && tok == '.' {
					// Suffixes: ARM conditionals, Loong64 vector instructions, RISCV rounding mode or x86 modifiers.
					tok = p.nextToken()
					str := p.lex.Text()
					if tok != scanner.Ident {
						p.errorf("instruction suffix expected identifier, found %s", str)
					}