readBufferSize     = 32 << 10 // 32 KiB is the most optimal on Linux
	writeBufferSize    = 32 << 10 // 32 KiB is the most optimal on Linux
	defaultDialTimeout = 2 * time.Second
	connPingInterval   = 10 * time.Second
	connWriteTimeout   = 3 * time.Second
)

type connectionParams struct {
	ctx           context.Context
	id            uuid.UUID
	local, remote string

## Información de Desarrollo

### Obtener el Código Fuente

1. Clona el repositorio de Fess:
    ```
    $ cd ~/workspace
    $ git clone https://github.com/codelibs/fess.git
    ```

2. Importa el repositorio clonado como un proyecto [Maven](https://maven.apache.org/) en [Eclipse](https://www.eclipse.org/eclipseide/) u otro IDE.

### Configuración de Plugins para OpenSearch

        RenderDataUtil.register(data, "fileConfigItems", itemList);
    }

    protected Map<String, String> createItem(final String label, final String value) {
        final Map<String, String> map = new HashMap<>(2);
        map.put(Constants.ITEM_LABEL, label);
        map.put(Constants.ITEM_VALUE, value);
        return map;
    }

    // ===================================================================================

        RenderDataUtil.register(data, "webConfigItems", itemList);
    }

    protected Map<String, String> createItem(final String label, final String value) {
        final Map<String, String> map = new HashMap<>(2);
        map.put(Constants.ITEM_LABEL, label);
        map.put(Constants.ITEM_VALUE, value);
        return map;
    }

    // ===================================================================================

                      SmbTransportInternal trans = session.getTransport().unwrap(SmbTransportInternal.class) ) {
                    t = trans;
                }
                f.close();

                Thread.sleep(2 * soTimeout);

                // connection should be closed by now
                assertTrue("Transport is still connected", t.isDisconnected());

    for (int length : completeLengthChecks) {
      // Verify that at max depth, less than one stack frame per submitted task was consumed
      assertThat(length - baseStackDepth).isLessThan(DIRECT_EXECUTIONS_PER_THREAD / 2);
    }
  }

  @SuppressWarnings("ObjectToString") // Intended behavior
  public void testToString() {
    Future<?> unused = serializer.submitAsync(firstCallable, directExecutor());

    @Override
    public byte[] initSecContext ( byte[] token, int offset, int len ) throws SmbException {
        switch ( this.state ) {
        case 1:
            return makeNegotiate(token);
        case 2:
            return makeAuthenticate(token);
        default:
            throw new SmbException("Invalid state");
        }
    }

      private static final long serialVersionUID = 0L;

      /* Valid states. */
      static final int RUNNING = 0;
      static final int COMPLETING = 1;
      static final int COMPLETED = 2;
      static final int CANCELLED = 4;
      static final int INTERRUPTED = 8;

      private V value;
      private Throwable exception;

      /*

但通过这个例子，您可以初步了解「依赖注入」的工作机制。

### 创建依赖项

首先，要关注的是依赖项。

依赖项就是一个函数，且可以使用与*路径操作函数*相同的参数：

```Python hl_lines="8-11"
{!../../docs_src/dependencies/tutorial001.py!}
```

大功告成。

只用了**2 行**代码。

依赖项函数的形式和结构与*路径操作函数*一样。

因此，可以把依赖项当作没有「装饰器」（即，没有 `@app.get("/some-path")` ）的路径操作函数。

依赖项可以返回各种内容。

本例中的依赖项预期接收如下参数：

* 类型为 `str` 的可选查询参数 `q`
* 类型为 `int` 的可选查询参数 `skip`，默认值是 `0`

	if table == "" {
		return baseColumnName
	}

	s := strings.Split(table, "_")

	var prefix string
	switch len(s) {
	case 1:
		prefix = s[0][:3]
	case 2:
		prefix = s[0][:1] + s[1][:2]
	default:
		prefix = s[0][:1] + s[1][:1] + s[2][:1]
	}
	return prefix + "_" + baseColumnName
}

func TestEmbeddedStructForCustomizedNamingStrategy(t *testing.T) {