"The TID specified was invalid.", "The handle is invalid.", "The network name cannot be found.",
            "Not enough storage is available to process this command.", "The media is write protected.", "The device is not ready.",
            "A device attached to the system is not functioning.", "A device attached to the system is not functioning.",
            "The process cannot access the file because it is being used by another process.",

    try {
      while (tcpConnectsInFlight.isNotEmpty() || routePlanner.hasNext()) {
        if (routePlanner.isCanceled()) throw IOException("Canceled")

        // Launch a new connection if we're ready to.
        val now = taskRunner.backend.nanoTime()
        var awaitTimeoutNanos = nextTcpConnectAtNanos - now
        var connectResult: ConnectResult? = null

## Development { #development }

By the time I started creating **FastAPI** itself, most of the pieces were already in place, the design was defined, the requirements and tools were ready, and the knowledge about the standards and specifications was clear and fresh.

## Future { #future }

By this point, it's already clear that **FastAPI** with its ideas is being useful for many people.

e(this,i),n.default(this).data(S,a)),"undefined"===a[t])throw new Error(t+" is not a function");a[t]()}))},e}();n.default(document).on("click",H,(function(e){e.preventDefault(),M._jQueryInterface.call(n.default(this),"toggle")})),n.default(document).ready((function(){M._jQueryInterface.call(n.default(H),"_init")})),n.default.fn[T]=M._jQueryInterface,n.default.fn[T].Constructor=M,n.default.fn[T].noConflict=function(){return n.default.fn[T]=j,M._jQueryInterface};var q="DirectChat",O="lte.directchat",...

  stars: 1162
  owner_login: langchain-ai
  owner_html_url: https://github.com/langchain-ai
- name: fastapi-langgraph-agent-production-ready-template
  html_url: https://github.com/wassim249/fastapi-langgraph-agent-production-ready-template
  stars: 1150
  owner_login: wassim249
  owner_html_url: https://github.com/wassim249
- name: fastapi-alembic-sqlmodel-async

For production you would use `fastapi run` instead. 🚀

Internally, **FastAPI CLI** uses <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>, a high-performance, production-ready, ASGI server. 😎

## `fastapi dev` { #fastapi-dev }

Running `fastapi dev` initiates development mode.

 * server. Rather than represent each with it's own <code>Exception</code>
 * class, this class represents all of them. For many of the popular
 * error codes, constants and text messages like "The device is not ready"
 * are provided.
 * <p>
 * The jCIFS client maps DOS error codes to NTSTATUS codes. This means that
 * the user may receive a different error from a legacy server than that of

}

const metacacheMaxEntries = 5000

// initManager will start async saving the cache.
func (m *metacacheManager) initManager() {
	// Add a transient bucket.
	// Start saver when object layer is ready.
	go func() {
		objAPI := newObjectLayerFn()
		for objAPI == nil {
			time.Sleep(time.Second)
			objAPI = newObjectLayerFn()
		}

		t := time.NewTicker(time.Minute)
		defer t.Stop()

		var exit bool

Натомість, для запуску у продакшн використовуйте `fastapi run`. 🚀

Всередині **FastAPI CLI** використовує <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>, високопродуктивний, production-ready, ASGI cервер. 😎

## `fastapi dev`

Використання `fastapi dev` ініціює режим розробки.

Verify different type of MinIO deployments work

```
λ make verify
```

Verify if healing and replacing a drive works

```
λ make verify-healing
```