* Connections will still be closed if they idle beyond the keep-alive but will be replaced.
     */
    @JvmField val minimumConcurrentCalls: Int = 0,
    /** How long to wait to retry pre-emptive connection attempts that fail. */
    @JvmField val backoffDelayMillis: Long = 60 * 1000,
    /** How much jitter to introduce in connection retry backoff delays */

## Test the setup

The next time the backup job runs, you can use the  `mc admin trace myminio` command and verify traffic is flowing to the MinIO nodes. For Veeam Backup and Replication you will need to wait for the backup to complete to the performance tier before it migrates data to the capacity tier (i.e., MinIO).

```

		return http.ErrServerClosed
	}

	// Close underneath HTTP listener.
	srv.listenerMutex.Lock()
	err := srv.listener.Close()
	srv.listenerMutex.Unlock()
	if err != nil {
		return err
	}

	// Wait for opened connection to be closed up to Shutdown timeout.
	return nil
}

// UseIdleTimeout configure idle connection timeout
func (srv *Server) UseIdleTimeout(d time.Duration) *Server {
	srv.IdleTimeout = d

./mc cp README.md myminio1/foobucket/dir/file

versionId="$(./mc ls --json --versions myminio1/foobucket/dir/ | jq -r .versionId)"

kill ${pid2} && wait ${pid2} || true

aws s3api --endpoint-url http://localhost:9001 delete-object --bucket foobucket --key dir/file --version-id "$versionId"

out="$(./mc ls myminio1/foobucket/dir/)"
if [ "$out" != "" ]; then

			fi.Erasure.Index = index + 1
			if fi.IsValid() {
				return disks[index].WriteMetadata(ctx, origbucket, bucket, prefix, fi)
			}
			return errFileCorrupt
		}, index)
	}

	// Wait for all the routines.
	mErrs := g.Wait()

	err := reduceWriteQuorumErrs(ctx, mErrs, objectOpIgnoredErrs, quorum)
	if err != nil && revert {
		ng := errgroup.WithNErrs(len(disks))
		for index := range disks {

        var first = true

        override fun createSocket(): Socket {
          if (first) {
            first = false
            firstConnectLatch.await()
          }
          return super.createSocket()
        }
      }

    client =
      client.newBuilder()
        .protocols(listOf(Protocol.H2_PRIOR_KNOWLEDGE))

		return nil, err
	}

	return obj, nil
}

// TransferError will catch network errors during transfer.
// When TransferError() is called Close() will also
// be called, so we do not need to Wait() here.
func (w *writerAt) TransferError(err error) {
	_ = w.w.CloseWithError(err)
	_ = w.r.CloseWithError(err)
	w.err = err
}

func (w *writerAt) Close() (err error) {
	switch {

    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>Albo użyj <code>async def</code>...</summary>

Jeżeli twój kod korzysta z `async` / `await`, użyj `async def`:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():

        env:
          POSTGRES_PASSWORD: gorm
          POSTGRES_USER: gorm
          POSTGRES_DB: gorm
          TZ: Asia/Shanghai
        ports:
          - 9920:5432
        # Set health checks to wait until postgres has started
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5

    steps:

Normally, this just means running the queue.
All informers created by `kube.Client` are kept track in the client, and started in one go with `RunAndWait` in one centralized call.
As a result, each individual controllers should simply wait until informers have synced, then run the queue to start processing things.

A queue is used to give a few properties: