{* ../../docs_src/background_tasks/tutorial002_an_py310.py hl[13,15,22,25] *}

En este ejemplo, los mensajes se escribirán en el archivo `log.txt` *después* de que se envíe el response.

Si hay un query en el request, se escribirá en el log en una tarea en segundo plano.

Y luego otra tarea en segundo plano generada en la *path operation function* escribirá un mensaje usando el parámetro de path `email`.

Sonra testlerinizde aynısını uygularsınız.

Örn.:

* Bir *path* veya *query* parametresi geçirmek için, URL’nin kendisine ekleyin.
* JSON body göndermek için, `json` parametresine bir Python nesnesi (örn. bir `dict`) verin.

 * The list form for Search List.
 */
public class ListForm extends SearchRequestParams {

    /**
     * Default constructor.
     */
    public ListForm() {
        super();
    }

    /** The search query string. */
    @Size(max = 1000)
    public String q;

    /** The sort field and direction. */
    public String sort;

    /** The start position for search results. */
    @ValidateTypeFailure

import jcifs.internal.util.SMBUtil;

/**
 * SMB1 NetServerEnum2 request message for enumerating network servers in a domain or workgroup.
 * This class implements the SMB1 transaction to query for available servers, supporting various
 * server types and filtering options for network browsing functionality.
 */
public class NetServerEnum2 extends SmbComTransaction {

    /**

Independent TechEmpower benchmarks show **FastAPI** applications running under Uvicorn as [one of the fastest Python frameworks available](https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7), only below Starlette and Uvicorn themselves (used internally by FastAPI).

But when checking benchmarks and comparisons you should keep the following in mind.

## Benchmarks and speed { #benchmarks-and-speed }

### Request `POST` to plugin endpoint

Query parameters:

| Parameter Name | Value Type | Purpose                                                                 |
|----------------|------------|-------------------------------------------------------------------------|

    git config --system --add safe.directory '*'
    git config --system protocol.file.allow always

    # Note that you could generate a list of all the affected targets with e.g.:
    # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
    # Only shows Added, Changed, Modified, Renamed, and Type-changed files
    if [[ "$(git rev-parse --abbrev-ref HEAD)" == "pull_branch" ]]; then

					</div>
					<fieldset>
						<legend><la:message key="labels.search" /></legend>
						<div class="clearfix">
							<div class="mx-auto col-10 col-sm-8 col-md-8 col-lg-6">
								<la:text styleClass="query form-control"
									property="q" size="50" maxlength="1000" styleId="contentQuery"
									autocomplete="off" />
							</div>
						</div>
						<c:if test="${!empty popularWords}">
							<div class="clearfix">

	}
	w.WriteHeader(http.StatusBadGateway)
}

func (f *Forwarder) getURLFromRequest(req *http.Request) *url.URL {
	// If the Request was created by Go via a real HTTP request,  RequestURI will
	// contain the original query string. If the Request was created in code, RequestURI
	// will be empty, and we will use the URL object instead
	u := req.URL
	if req.RequestURI != "" {
		parsedURL, err := url.ParseRequestURI(req.RequestURI)

### Pydantic v1 parameters { #pydantic-v1-parameters }

If you need to use some of the FastAPI-specific tools for parameters like `Body`, `Query`, `Form`, etc. with Pydantic v1 models, you can import them from `fastapi.temp_pydantic_v1_params` while you finish the migration to Pydantic v2:

{* ../../docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py hl[4,18] *}