assertThat(c1.noNewExchanges).isTrue()
  }

  @Test fun interruptStopsThread() {
    val taskRunnerThreads = mutableListOf<Thread>()
    val taskRunner =
      TaskRunner(
        RealBackend { runnable ->
          Thread(runnable, "interruptStopsThread TaskRunner")
            .also { taskRunnerThreads += it }
        },
      )

    val pool =
      factory.newConnectionPool(

# Declare um exemplo dos dados da requisição

Você pode declarar exemplos dos dados que a sua aplicação pode receber.

Aqui estão várias formas de se fazer isso.

## `schema_extra` do Pydantic

    }

    /**
     * Returns the class loader.
     * <p>
     * The class loader is searched in the following order:
     * </p>
     * <ol>
     * <li>If the context class loader is set for the calling thread, that context class loader</li>
     * <li>If the class loader that loaded the target class can be obtained, that class loader</li>
     * <li>If the class loader that loaded this class can be obtained, that class loader</li>

		return nil, proxy
	}
	var wg sync.WaitGroup
	errs := make([]error, len(proxyTargets.Targets))
	tagSlc := make([]map[string]string, len(proxyTargets.Targets))
	for idx, t := range proxyTargets.Targets {
		tgt := globalBucketTargetSys.GetRemoteTargetClient(bucket, t.Arn)
		if tgt == nil || globalBucketTargetSys.isOffline(tgt.EndpointURL()) {
			continue
		}

  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();

author_link: https://www.linkedin.com/in/shahriyar-rzayev/ link: https://www.azepug.az/posts/fastapi/#building-simple-e-commerce-with-nuxtjs-and-fastapi-series title: Building simple E-Commerce with NuxtJS and FastAPI - author: Rodrigo Arenas author_link: https://rodrigo-arenas.medium.com/ link: https://medium.com/analytics-vidhya/serve-a-machine-learning-model-using-sklearn-fastapi-and-docker-85aabf96729b title: "Serve a machine learning model using Sklearn, FastAPI and Docker" - author: Yashasvi Singh...

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

Using `check_same_thread=False` allows FastAPI to use the same SQLite database in different threads. This is necessary as **one single request** could use **more than one thread** (for example in dependencies).

# MinIO Logging Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

This document explains how to configure MinIO server to log to different logging targets.

## Log Targets

MinIO supports currently two target types

- console
- http

### Logging Console Target

Console target is on always and cannot be disabled.

### Logging HTTP Target

- Admin UI: http://localhost:8080/admin/ (default username/password is admin/admin)

![Admin UI](https://fess.codelibs.org/_images/fess_admin_dashboard.png)

You can register crawling targets in the Admin UI on the (Web, File, Data Store) crawler configuration pages, and then start the Crawler manually on the [Scheduler page](https://fess.codelibs.org/15.0/admin/scheduler-guide.html).

//     optimize the storage system for the default value of 1MB minus compression object sizes. The setting simultaneously
//     affects read from source, block, file, dedup, and object storage backup targets for a specific Veeam Job. When customers
//     create a new backup job and select the object storage or a SOBR as a backup target with this setting, the job default