*/
  public void addAll(long... values) {
    for (long value : values) {
      add(value);
    }
  }

  /**
   * Adds the given values to the dataset. The stream will be completely consumed by this method.
   *
   * @param values a series of values
   * @since 33.4.0 (but since 28.2 in the JRE flavor)
   */
  @IgnoreJRERequirement // Users will use this only if they're already using streams.

                         TF_Status* s);

// Creates a new TF_AbstractFunction from the current tracing states in the
// context. The provided `ctx` is consumed by this API call and deleted.
// The returned TF_AbstractFunction must be deleted by the client,
// TODO(aminim): clarify the contract on the state of the context after this
// call.

 * filename, so they must be placed in different directories.
 * 3. We provide a packed and an unpacked variant of the distribution
 * - the unpacked variant is used by consumers like test cluster definitions
 * 4. Having per-distribution sub-projects means we can build them in parallel.
 */
public class InternalDistributionArchiveSetupPlugin implements InternalPlugin {

  fun matches(header: DerHeader): Boolean

  /**
   * Returns a value from this adapter.
   *
   * This must always return a value, though it doesn't necessarily need to consume data from
   * [reader]. For example, if the reader's peeked tag isn't readable by this adapter, it may return
   * a default value.
   *

En este ejemplo estamos simulando un archivo con `io.BytesIO`, que es un objeto tipo archivo que vive solo en memoria, pero nos permite usar la misma interfaz.

Por ejemplo, podemos iterarlo para consumir su contenido, como podríamos con un archivo.

{* ../../docs_src/stream_data/tutorial002_py310.py ln[1:27] hl[3,12:13,25] *}

/// note | Detalles técnicos

			if disk == nil {
				infos[i].Error = errDiskNotFound.Error()
				return
			}

			di, err := disk.DiskInfo(context.Background(), DiskInfoOptions{})
			infos[i] = di
			if err != nil {
				// - Do not consume disks which are not reachable
				//   unformatted or simply not accessible for some reason.
				infos[i].Error = err.Error()
			}
		}()
	}
	wg.Wait()

	var scanningDisks, healingDisks []StorageAPI

  ~TapeVSpace() override {}

  // Returns the number of elements in the gradient tensor.
  int64_t NumElements(AbstractTensorHandle* tensor) const override;

  // Consumes references to the tensors in the gradient_tensors list and returns
  // a tensor with the result.
  AbstractTensorHandle* AggregateGradients(
      absl::Span<AbstractTensorHandle* const> gradient_tensors) const override;

        // These should pass through to the underlying implementation
        assertDoesNotThrow(() -> outputStream.write(data, 0, 10)); // valid - will consume first mock (10)
        assertDoesNotThrow(() -> outputStream.write(data, 5, 5)); // valid - will consume second mock (5)
    }

    @Test
    void testAppendMode() throws IOException, CIFSException {
        // Given

            assertDoesNotThrow(() -> concreteImplementation.fixupDomain(domain));
        }

        @Test
        @DisplayName("Should strip path consumed")
        void testStripPathConsumed() {
            int consumedAmount = 5;

            // Test with mock
            doNothing().when(mockReferralData).stripPathConsumed(consumedAmount);

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**.