assertTrue(ex.getMessage().contains("Server does not support NTLM authentication"));

        // Verify the decision consulted the configuration
        // getConfig() is called twice: once in Kerb5Authenticator and once in NtlmPasswordAuthenticator
        verify(tc, times(2)).getConfig();
        verify(config, times(1)).isAllowNTLMFallback();

Seu(s) servidor(es) é(são) um **recurso** que você pode consumir ou **utilizar**, com seus programas, o tempo de computação nas CPUs e a memória RAM disponível.

Quanto dos recursos do sistema você quer consumir/utilizar? Pode ser fácil pensar "não muito", mas, na realidade, você provavelmente vai querer consumir **o máximo possível sem travar**.

 * from a Project Object Model (POM).</p>
 *
 * <p><dfn>Project Object Model</dfn> or <dfn>POM</dfn> refers to the information describing
 * all the information needed to build or consume a project. Those are usually loaded from
 * a file named {@code pom.xml} and loaded into a {@link org.apache.maven.api.model.Model Model}
 * instances.</p>
 *

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like

De esta forma, los contenedores consumen **pocos recursos**, una cantidad comparable a ejecutar los procesos directamente (una máquina virtual consumiría mucho más).

  return ops::Mul(ctx, inputs[0], inputs[1], &outputs[0], "Mul");
}

// TODO(vnvo2409): Add more tests from `python/ops/gradient_checker_v2_test.py`.
// These tests should not be confused with `[*]_grad_test` which compare the
// result of `gradient_checker` and `[*]_grad`. The tests here test the
// functionality of `gradient_checker` by comparing the result with expected
// manual user-provided gradients.

    * Um arquivo armazenado na memória até um limite máximo de tamanho, e após passar esse limite, ele será armazenado no disco.
* Isso significa que funcionará bem para arquivos grandes como imagens, vídeos, binários grandes, etc., sem consumir toda a memória.
* Você pode receber metadados do arquivo enviado.
* Ele tem uma [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) interface `assíncrona`.

        new ByteProcessor<@Nullable Void>() {
          boolean firstCall = true;

          @Override
          public boolean processBytes(byte[] buf, int off, int len) throws IOException {
            assertTrue("consume() called twice", firstCall);
            firstCall = false;
            return false;
          }

          @Override
          public @Nullable Void getResult() {
            return null;
          }

import java.util.LinkedHashSet;
import java.util.NoSuchElementException;
import java.util.Objects;
import java.util.Set;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.Consumer;
import org.jspecify.annotations.Nullable;

/**
 * CompactHashSet is an implementation of a Set. All optional operations (adding and removing) are
 * supported. The elements can be any objects.
 *