opt Tarefas
        operation -->> tasks: Enviar tarefas de background
    end
    opt Lançar outra exceção
        tasks -->> tasks: Manipula exceções no código da tarefa de background
    end
```

/// info | Informação

Apenas **uma resposta** será enviada para o cliente. Ela pode ser uma das respostas de erro, ou então a resposta da *operação de rota*.

    opt Tasks
        operation -->> tasks: Send background tasks
    end
    opt Raise other exception
        tasks -->> tasks: Handle exceptions in the background task code
    end
```

/// info

Only **one response** will be sent to the client. It might be one of the error responses or it will be the response from the *path operation*.

After one of those responses is sent, no other response can be sent.

# 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkPolicyExists ($policy) # Check if the policy exists, by using the exit code of `mc admin policy info` checkPolicyExists() { POLICY=$1 CMD=$(${MC} admin policy info myminio $POLICY > /dev/null 2>&1) return $? } # createPolicy($name, $filename) createPolicy () { NAME=$1 FILENAME=$2 # Create the name if it does not exist echo "Checking policy: $NAME (in /config/$FILENAME.json)" if...

# 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkPolicyExists ($policy) # Check if the policy exists, by using the exit code of `mc admin policy info` checkPolicyExists() { POLICY=$1 CMD=$(${MC} admin policy info myminio $POLICY > /dev/null 2>&1) return $? } # createPolicy($name, $filename) createPolicy () { NAME=$1 FILENAME=$2 # Create the name if it does not exist echo "Checking policy: $NAME (in /config/$FILENAME.json)" if...

# 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkPolicyExists ($policy) # Check if the policy exists, by using the exit code of `mc admin policy info` checkPolicyExists() { POLICY=$1 CMD=$(${MC} admin policy info myminio $POLICY > /dev/null 2>&1) return $? } # createPolicy($name, $filename) createPolicy () { NAME=$1 FILENAME=$2 # Create the name if it does not exist echo "Checking policy: $NAME (in /config/$FILENAME.json)" if...

sleep 2 ; # 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkUserExists ($username) # Check if the user exists, by using the exit code of `mc admin user info` checkUserExists() { USER=$1 CMD=$(${MC} admin user info myminio $USER > /dev/null 2>&1) return $? } # createUser ($username, $password, $policy) createUser() { USER=$1 PASS=$2 POLICY=$3 # Create the user if it does not exist if ! checkUserExists $USER ; then echo "Creating user...

          webSocket: WebSocket,
          t: Throwable,
          response: Response?,
        ): Unit = throw e
      },
    )
    newWebSocket()
    assertThat(testLogHandler.take()).isEqualTo("INFO: [WS client] onFailure")
  }

  @Test
  fun throwingOnMessageClosesImmediatelyAndFails() {
    webServer.enqueue(
      MockResponse
        .Builder()
        .webSocketUpgrade(serverListener)

errors.app.double.submit.request = 이 요청 전에 처리되었을 수 있습니다. 다시 시도하십시오.
# _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
# you can define your messages here:
# e.g.
# errors.xxx = ...
# info.xxx = ...
# _/_/_/_/_/_/_/_/_/_/
# ========================================================================================
# Fess
# ======
errors.login_error = 사용자 이름 또는 비밀번호가 잘못되었습니다.

`str` を継承することで、APIドキュメントは値が `文字列` でなければいけないことを知り、正確にレンダリングできるようになります。

そして、固定値のクラス属性を作ります。すると、その値が使用可能な値となります:

{* ../../docs_src/path_params/tutorial005.py hl[1,6,7,8,9] *}

/// info | 情報

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (もしくは、enums)はPython 3.4以降で利用できます</a>。

///

/// tip | 豆知識

    --executor-memory 512m \
    --executor-cores 1 \
    examples/jars/spark-examples*.jar 10
```

The job should produce an output as shown below. Note the value of pi in the output.

```
17/03/22 23:21:10 INFO DAGScheduler: Job 0 finished: reduce at SparkPi.scala:38, took 1.302805 s
Pi is roughly 3.1445191445191445
```