* {@code lexicographical(Collections.reverseOrder(comparator))} (consider how each would order
   * {@code [1]} and {@code [1, 1]}).
   */
  // Note: 90% of the time we don't add type parameters or wildcards that serve only to "tweak" the
  // desired return type. However, *nested* generics introduce a special class of problems that we
  // think tip it over into being worthwhile.

    if (matchesSocket(sslSocket)) {
      val bcSocket = sslSocket as BCSSLSocket

      val sslParameters = bcSocket.parameters

      // Enable ALPN.
      sslParameters.applicationProtocols = Platform.alpnProtocolNames(protocols).toTypedArray()

      bcSocket.parameters = sslParameters
    }
  }

  companion object {
    val factory =
      object : DeferredSocketAdapter.Factory {

    <description>
      Returns query parameters for More Like This.
    </description>
    <name>mltQuery</name>
    <function-class>org.codelibs.fess.taglib.FessFunctions</function-class>
    <function-signature>java.lang.String mltQuery()</function-signature>
    <example>
      ${fe:mltQuery()}
    </example>
  </function>

  <function>
    <description>
      Returns query parameters for Geo.
    </description>

    public String available;

    /** Search/filter parameter for data configuration sort order. */
    public String sortOrder;

    /** Search/filter parameter for data configuration creator. */
    public String createdBy;

    /** Search/filter parameter for data configuration creation time. */
    public String createdTime;

* The alternative documentation will also reflect the new query parameter and body:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Recap { #recap }

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

Declare os **parâmetros de consulta** que você precisa em um **modelo Pydantic**, e então declare o parâmetro como `Query`:

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

O **FastAPI** **extrairá** os dados para **cada campo** dos **parâmetros de consulta** presentes na requisição, e fornecerá o modelo Pydantic que você definiu.

            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnParameters = cci("parameters", "parameters", null, null, String.class, "parameters", null, false,
            false, false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);

            "/path_examples/{item_id}": {
                "get": {
                    "summary": "Path Examples",
                    "operationId": "path_examples_path_examples__item_id__get",
                    "parameters": [
                        {
                            "name": "item_id",
                            "in": "path",
                            "required": True,
                            "schema": {

        assertEquals(0L, controller.getDelayMillisBeforeProcessing());
        assertEquals(1000L, controller.getDelayMillisForWaitingNewUrl());
    }

    /**
     * Test constructor with parameters
     */
    public void test_constructorWithParams() {
        final Map<String, Long> params = new HashMap<>();
        params.put("delayMillisAfterProcessing", 100L);
        params.put("delayMillisAtNoUrlInQueue", 200L);

	NoPersistence bool `msg:"np"`
}

// CheckPartsHandlerParams are parameters for CheckPartsHandler
type CheckPartsHandlerParams struct {
	DiskID   string   `msg:"id"`
	Volume   string   `msg:"v"`
	FilePath string   `msg:"fp"`
	FI       FileInfo `msg:"fi"`
}

// DeleteFileHandlerParams are parameters for DeleteFileHandler
type DeleteFileHandlerParams struct {
	DiskID   string        `msg:"id"`