TimeUnit.SECONDS,
              SynchronousQueue(),
              threadFactory("$okHttpName Dispatcher", false),
            )
        }
        return executorServiceOrNull!!
      }

  /** Ready async calls in the order they'll be run. */
  private val readyAsyncCalls = ArrayDeque<AsyncCall>()

  /** Running asynchronous calls. Includes canceled calls that haven't finished yet. */

```console
$ pip install websockets

---> 100%
```

</div>

## WebSockets-Client

### In Produktion

In Ihrem Produktionssystem haben Sie wahrscheinlich ein Frontend, das mit einem modernen Framework wie React, Vue.js oder Angular erstellt wurde.

Und um über WebSockets mit Ihrem Backend zu kommunizieren, würden Sie wahrscheinlich die Werkzeuge Ihres Frontends verwenden.

            privileged: false
            readOnlyRootFilesystem: true
        {{- end }}
          readinessProbe:
            failureThreshold: 30
            httpGet:
              path: /healthz/ready
              port: 15021
              scheme: HTTP
            initialDelaySeconds: 1
            periodSeconds: 2
            successThreshold: 1
            timeoutSeconds: 1
          resources:

	EnvAPIObjectMaxVersions           = "MINIO_API_OBJECT_MAX_VERSIONS"
	EnvAPIObjectMaxVersionsLegacy     = "_MINIO_OBJECT_MAX_VERSIONS"
)

// Deprecated key and ENVs
const (
	apiReadyDeadline            = "ready_deadline"
	apiReplicationWorkers       = "replication_workers"
	apiReplicationFailedWorkers = "replication_failed_workers"
)

// DefaultKVS - default storage class config
var (
	DefaultKVS = config.KVS{

            privileged: false
            readOnlyRootFilesystem: true
        {{- end }}
          readinessProbe:
            failureThreshold: 30
            httpGet:
              path: /healthz/ready
              port: 15021
              scheme: HTTP
            initialDelaySeconds: 1
            periodSeconds: 2
            successThreshold: 1
            timeoutSeconds: 1
          resources:

                                http1MaxPendingRequests:
                                  description: Maximum number of requests that will
                                    be queued while waiting for a ready connection
                                    pool connection.
                                  format: int32
                                  type: integer
                                http2MaxRequests:

So, you would run **multiple containers** with different things, like a database, a Python application, a web server with a React frontend application, and connect them together via their internal network.

All the container management systems (like Docker or Kubernetes) have these networking features integrated into them.

## Containers and Processes

    // Close the raw socket so we don't end up doing synchronous I/O.
    rawSocket?.closeQuietly()
  }

  override fun socket(): Socket = socket!!

  /** Returns true if this connection is ready to host new streams. */
  fun isHealthy(doExtensiveChecks: Boolean): Boolean {
    lock.assertNotHeld()

    val nowNs = System.nanoTime()

    val rawSocket = this.rawSocket!!
    val socket = this.socket!!

        if (connections.isEmpty()) cleanupQueue.cancelAll()

        // Clean up again immediately.
        return 0L
      }

      earliestEvictableConnection != null -> {
        // A connection will be ready to evict soon.
        return earliestEvictableIdleAtNs + keepAliveDurationNs - now
      }

      inUseConnectionCount > 0 -> {

[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"

[project]
name = "fastapi"
dynamic = ["version"]
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
readme = "README.md"
requires-python = ">=3.8"
authors = [
    { name = "Sebastián Ramírez", email = "******@****.***" },
]
classifiers = [
    "Intended Audience :: Information Technology",