if $storageClass }} storageClassName: {{ $storageClass }} {{- end }} resources: requests: storage: {{ $psize }} {{- end }} {{- end }} {{- end }} minio/.helmignore # Patterns to ignore when building packages. # This supports shell glob matching, relative path matching, and # negation (prefixed with !). Only one pattern per line. .DS_Store # Common VCS dirs .git/ .gitignore .bzr/ .bzrignore .hg/ .hgignore .svn/ # Common backup files *.swp *.bak *.tmp *~ # Various IDEs .project .idea/ *.tmproj # OWNERS...

 */

package com.google.common.collect;

import static com.google.common.collect.CollectPreconditions.checkRemove;
import static com.google.common.collect.CompactHashing.UNSET;
import static com.google.common.collect.Hashing.smearedHash;
import static com.google.common.collect.NullnessCasts.uncheckedCastNullableTToT;
import static com.google.common.collect.NullnessCasts.unsafeNull;
import static java.lang.Math.max;
import static java.lang.Math.min;

### Memoria por Proceso { #memory-per-process }

Ahora, cuando el programa carga cosas en memoria, por ejemplo, un modelo de Machine Learning en una variable, o el contenido de un archivo grande en una variable, todo eso **consume un poco de la memoria (RAM)** del servidor.

        docMap.put("_id", "docid1");
        docMap.put("url", "http://example.com");

        boolean result = thumbnailManager.offer(docMap);
        assertTrue(result);
    }

    // Test offer with no matching generator
    @Test
    public void test_offer_noMatchingGenerator() {
        TestThumbnailGenerator generator = new TestThumbnailGenerator();
        generator.available = true;
        generator.target = false;

        // Then
        byte[] guid = request.getClientGuid();
        assertNotNull(guid);
        assertEquals(16, guid.length);
        // Should be zeros (not set from machine ID)
        for (byte b : guid) {
            assertEquals(0, b);
        }
    }

    @Test
    @DisplayName("Should add negotiate contexts for SMB 3.1.1")
    void testNegotiateContextsSmb311() {

 *
 * <p>Keep a strong reference to this object until all of the associated referents have been
 * finalized. If this object is garbage collected earlier, the backing thread will not invoke {@code
 * finalizeReferent()} on the remaining references.
 *
 * <p>As an example of how this is used, imagine you have a class {@code MyServer} that creates a

        testData.add(createRelatedQuery("Java", new String[] { "Programming", "Tutorial" }, ""));
        mockBhv.setTestData(testData);

        relatedQueryHelper.load();

        // Test case insensitive matching
        String[] results = relatedQueryHelper.getRelatedQueries("java");
        assertEquals(2, results.length);
        assertEquals("Programming", results[0]);
        assertEquals("Tutorial", results[1]);

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Hashing.sha1;
import static com.google.common.io.BaseEncoding.base16;
import static com.google.common.truth.Truth.assertThat;
import static java.nio.charset.StandardCharsets.US_ASCII;
import static org.junit.Assert.assertThrows;

  @Deprecated
  public final Comparator<? super R> rowComparator() {
    /*
     * requireNonNull is safe because the factories require non-null Comparators, which they pass on
     * to the backing collections.
     */
    return requireNonNull(rowKeySet().comparator());
  }

  /**
   * Returns the comparator that orders the columns. With natural ordering, {@link
   * Ordering#natural()} is returned.

/// tip | Consejo

Si te estás preguntando, "AlexNet", "ResNet" y "LeNet" son solo nombres de <dfn title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</dfn> de Machine Learning.

///

### Declarar un *path parameter* { #declare-a-path-parameter }

Luego crea un *path parameter* con una anotación de tipo usando la clase enum que creaste (`ModelName`):