labels.chat_step_intent=Analyze
labels.chat_step_search=Search
labels.chat_step_evaluate=Evaluate
labels.chat_step_fetch=Retrieve
labels.chat_step_answer=Answer
labels.chat_input_hint=Press Enter to send, Shift+Enter for new line
labels.chat_send=Send message
labels.chat_retry=Retry
labels.chat_dismiss=Dismiss
labels.chat_copied=Copied!
labels.chat_copy_failed=Copy failed
labels.chat_filter=Filter

              workerRunningState = IDLE;
              return;
            }
          }
          // Remove the interrupt bit before each task. The interrupt is for the "current task" when
          // it is sent, so subsequent tasks in the queue should not be caused to be interrupted
          // by a previous one in the queue being interrupted.
          interruptedDuringTask |= Thread.interrupted();
          try {

          "expr": "sum by (server) (rate(minio_s3_traffic_sent_bytes{job=~\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Data Sent [{{server}}]",
          "refId": "A"
        }
      ],
      "title": "S3 API Egress Rate ",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",

Ahora puedes declarar tu dependencia usando esta clase.

{* ../../docs_src/dependencies/tutorial002_an_py310.py hl[19] *}

**FastAPI** llama a la clase `CommonQueryParams`. Esto crea una "instance" de esa clase y la instance será pasada como el parámetro `commons` a tu función.

## Anotación de tipos vs `Depends` { #type-annotation-vs-depends }

Nota cómo escribimos `CommonQueryParams` dos veces en el código anterior:

//// tab | Python 3.10+

/// note | Nota

Un parámetro de path siempre es requerido ya que tiene que formar parte del path. Incluso si lo declaras con `None` o le asignas un valor por defecto, no afectará en nada, siempre será requerido.

///

## Ordena los parámetros como necesites { #order-the-parameters-as-you-need }

/// tip | Consejo

Esto probablemente no es tan importante o necesario si usas `Annotated`.

///

===========

This document describes the concurrency considerations for http/2 connections and the connection pool within OkHttp.

## HTTP/2 Connections

The HttpURLConnection API is a blocking API. You make a blocking write to send a request, and a blocking read to receive the response.

#### Blocking APIs

     * initiated by the client (MSIE post requests after successful NTLM SSP
     * authentication). If false and the user has not been authenticated yet
     * the client will be forced to send an authentication (server sends
     * HttpServletResponse.SC_UNAUTHORIZED).
     * @return True if the negotiation is complete, otherwise false
     * @throws IOException if an I/O error occurs

        when(session.getAttribute("NtlmHttpAuth")).thenReturn(mock(NtlmPasswordAuthentication.class));

        ntlmServlet.service(request, response);

        // Verify that no authentication challenge is sent
        verify(response, never()).setHeader(eq("WWW-Authenticate"), anyString());
        verify(response, never()).setStatus(HttpServletResponse.SC_UNAUTHORIZED);
    }

    /**

    - tutorial/middleware.md
    - tutorial/cors.md
    - tutorial/sql-databases.md
    - tutorial/bigger-applications.md
    - tutorial/stream-json-lines.md
    - tutorial/server-sent-events.md
    - tutorial/background-tasks.md
    - tutorial/metadata.md
    - tutorial/static-files.md
    - tutorial/testing.md
    - tutorial/debugging.md
  - Advanced User Guide:
    - advanced/index.md

/// note | 기술 세부사항

`from starlette.websockets import WebSocket`을 사용할 수도 있습니다.

**FastAPI**는 개발자를 위한 편의를 위해 동일한 `WebSocket`을 직접 제공합니다. 하지만 이는 Starlette에서 가져옵니다.

///

## 메시지를 대기하고 전송하기 { #await-for-messages-and-send-messages }

WebSocket 경로에서 메시지를 대기(`await`)하고 전송할 수 있습니다.

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

여러분은 이진 데이터, 텍스트, JSON 데이터를 받을 수 있고 전송할 수 있습니다.

## 시도해보기 { #try-it }