The simplicity of the dependency injection system makes **FastAPI** compatible with:

* all the relational databases
* NoSQL databases
* external packages
* external APIs
* authentication and authorization systems
* API usage monitoring systems
* response data injection systems
* etc.

## Simple and Powerful

        System.out.println("my-bucketname is created successfully");
      }

      boolean isVersioningEnabled =
          minioClient.isVersioningEnabled(
              IsVersioningEnabledArgs.builder().bucket("my-bucketname").build());
      if (isVersioningEnabled) {
        System.out.println("Bucket versioning is enabled");
      } else {
        System.out.println("Bucket versioning is disabled");

| `minio_system_cpu_steal`      | `gauge` | CPU steal time                     | `server` |
| `minio_system_cpu_system`     | `gauge` | CPU system time                    | `server` |
| `minio_system_cpu_user`       | `gauge` | CPU user time                      | `server` |

### `/system/network/internode`

      }
    }
  }

  private fun ensureAllTaskQueuesIdle() {
    val entryTime = System.nanoTime()

    for (queue in TaskRunner.INSTANCE.activeQueues()) {
      // We wait at most 1 second, so we don't ever turn multiple lost threads into
      // a test timeout failure.
      val waitTime = (entryTime + 1_000_000_000L - System.nanoTime())
      if (!queue.idleLatch().await(waitTime, TimeUnit.NANOSECONDS)) {

```JSON
{
  "detail": "Inactive user"
}
```

## Recap

You now have the tools to implement a complete security system based on `username` and `password` for your API.

Using these tools, you can make the security system compatible with any database and with any user or data model.

The only detail missing is that it is not actually "secure" yet.

        System.out.printf("%.2f Executing call.%n", (System.nanoTime() - startNanos) / 1e9f)
        try {
          call.execute().use { response ->
            System.out.printf("%.2f Call was expected to fail, but completed: %s%n",
                (System.nanoTime() - startNanos) / 1e9f, response)
          }
        } catch (e: IOException) {
          System.out.printf("%.2f Call failed as expected: %s%n",

Es erreicht etwas Ähnliches wie Flask-apispec.

Es verfügt über ein integriertes Dependency Injection System, welches von Angular 2 inspiriert ist. Erfordert ein Vorab-Registrieren der „Injectables“ (wie alle anderen Dependency Injection Systeme, welche ich kenne), sodass der Code ausschweifender wird und es mehr Codeverdoppelung gibt.

    val webSocket = newWebSocket()
    clientListener.assertOpen()
    val server = serverListener.assertOpen() as RealWebSocket
    val startNanos = System.nanoTime()
    while (webSocket.receivedPongCount() < 3) {
      Thread.sleep(50)
    }
    val elapsedUntilPong3 = System.nanoTime() - startNanos
    assertThat(TimeUnit.NANOSECONDS.toMillis(elapsedUntilPong3).toDouble())
      .isCloseTo(1500.0, 250.0)

  a coordinated offline strategy. In addition, efforts to unite these failing
  behaviors behind a consistent user interface is much, much more difficult if
  the system can't tell whether it has access to the network required by these
  operations.

  Offline mode really means anticipating a lack of network connectivity, and as

  </description>
  <url>http://maven.apache.org/</url>
  <issueManagement>
    <system>jira</system>
    <url>http://jira.codehaus.org/browse/MPA</url>
  </issueManagement>
  <ciManagement>
    <system>continuum</system>
    <url>http://maven.zones.apache.org/continuum</url>
    <notifiers>
      <notifier>
        <type>mail</type>
        <configuration>