addressAsLong = getEmbeddedIPv4ClientAddress(ip6).hashCode();
    } else {
      // Just extract the high 64 bits (assuming the rest is user-modifiable).
      addressAsLong = ByteBuffer.wrap(ip6.getAddress(), 0, 8).getLong();
    }

    // Many strategies for hashing are possible. This might suffice for now.
    int coercedHash = Hashing.murmur3_32_fixed().hashLong(addressAsLong).asInt();

                treeConnect(null, null);
            }
            catch ( SmbException e ) {
                throw e;
            }
            catch ( CIFSException e ) {
                throw SmbException.wrap(e);
            }
        }
        else {
            Trans2FindFirst2 req = new Trans2FindFirst2(
                tf.getConfig(),
                "\\",
                "*",

    if (TF_GetCode(status) != TF_OK) return;
  }
  std::vector<TFE_TensorHandle*> unwrapped_results(expected_max_outputs);
  int real_num_outputs = expected_max_outputs;
  TFE_OpSetCancellationManager(op_.get(), wrap(cancellation_manager_), status);
  if (TF_GetCode(status) != TF_OK) return;

  // unwrap op_ and set step_id only if valid step id value was set.
  // Currently only required for non-TFRT use cases, e.g., EagerOp.

<img src="/img/python-types/image03.png">

## Động lực nhiều hơn

Kiểm tra hàm này, nó đã có gợi ý kiểu dữ liệu:

```Python hl_lines="1"
{!../../docs_src/python_types/tutorial003.py!}
```

Bởi vì trình soạn thảo biết kiểu dữ liệu của các biến, bạn không chỉ có được completion, bạn cũng được kiểm tra lỗi:

<img src="/img/python-types/image04.png">

	// and the Metrics API handler returns a 500 HTTP status code. This should
	// normally not happen, and usually indicates a bug.
	logger.CriticalIf(GlobalContext, errors.Wrap(err, "failed to get metrics"))

	promMetrics := metricValues.ToPromMetrics(mg.CollectorPath.metricPrefix(),
		mg.ExtraLabels)
	for _, metric := range promMetrics {
		ch <- metric
	}
}

   *
   * If the hint is unknown [chooser] should return null which will cause the value to be decoded as
   * an opaque byte string.
   *
   * This may optionally wrap the contents in a tag.
   */
  fun usingTypeHint(chooser: (Any?) -> DerAdapter<*>?): DerAdapter<Any?> {
    return object : DerAdapter<Any?> {
      override fun matches(header: DerHeader): Boolean = true

/** Benchmarks for {@link ExecutionList}. */
@VmOptions({"-Xms8g", "-Xmx8g"})
public class ExecutionListBenchmark {
  private static final int NUM_THREADS = 10; // make a param?

  // simple interface to wrap our two implementations.
  interface ExecutionListWrapper {
    void add(Runnable runnable, Executor executor);

    void execute();
    /** Returns the underlying implementation, useful for the Footprint benchmark. */

  tensorflow::Tensor tensor(dtype, tensorflow::TensorShape({}));
  std::memcpy(tensorflow::TensorCApi::Buffer(tensor)->data(), data, len);

  status->status = absl::OkStatus();
  return tensorflow::wrap(tensorflow::TensorHandle::CreateLocalHandle(tensor));
}

// Set server_def on the context, possibly updating it.
TF_CAPI_EXPORT extern void TFE_EnableCollectiveOps(TFE_Context* ctx,

        }
    }

    protected void deleteScrollContext(final String scrollId) {
        if (scrollId != null) {
            client.prepareClearScroll().addScrollId(scrollId).execute(ActionListener.wrap(() -> {}));
        }
    }

    @Override
    protected Number doReadNextVal() {
        final String msg = "This table is NOT related to sequence: " + asEsIndexType();

	b := NewReaderSize(strings.NewReader("hello world"), BufSize)
	// Does it recognize itself?
	b1 := NewReaderSize(b, BufSize)
	if b1 != b {
		t.Error("NewReaderSize did not detect underlying Reader")
	}
	// Does it wrap if existing buffer is too small?
	b2 := NewReaderSize(b, 2*BufSize)
	if b2 == b {
		t.Error("NewReaderSize did not enlarge buffer")
	}
}

func TestNewWriterSizeIdempotent(t *testing.T) {