throw closer.rethrow(e);
    } finally {
      closer.close();
    }
  }

  /**
   * Reads the contents of this byte source using the given {@code processor} to process bytes as
   * they are read. Stops when all bytes have been read or the consumer returns {@code false}.
   * Returns the result produced by the processor.
   *
   * @throws IOException if an I/O error occurs while reading from this source or if {@code

		Description:    "Cannot add remote target endpoint since this server is in a cluster replication setup",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrReplicationDenyEditError: {
		Code:           "XMinioReplicationDenyEdit",
		Description:    "Cannot alter local replication config since this server is in a cluster replication setup",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrBucketRemoteIdenticalToSource: {

ight,.fab.fa-pull-right,.fal.fa-pull-right,.far.fa-pull-right,.fas.fa-pull-right{margin-left:.3em}.fa-spin{-webkit-animation:fa-spin 2s linear infinite;animation:fa-spin 2s linear infinite}.fa-pulse{-webkit-animation:fa-spin 1s steps(8) infinite;animation:fa-spin 1s steps(8) infinite}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0...

        getModel().setInceptionYear(inceptionYear);
    }

    public String getInceptionYear() {
        return getModel().getInceptionYear();
    }

    public void setUrl(String url) {
        getModel().setUrl(url);
    }

    public String getUrl() {
        return getModel().getUrl();
    }

    public Prerequisites getPrerequisites() {
        return getModel().getPrerequisites();

                     * is like changing the rug out from underneath our feet.
                     */
                    /* Technically we should also try to authenticate here but that means doing the session setup and tree connect separately. For now a simple connect will at least tell us if the host is alive. That should be sufficient for 99% of the cases. We can revisit this again for 2.0.
                     */

Если вы запускаете **несколько процессов в контейнере**, нужно убедиться, что их суммарное потребление **не превысит доступную память**.

## Предварительные шаги перед запуском и контейнеры { #previous-steps-before-starting-and-containers }

Если вы используете контейнеры (например, Docker, Kubernetes), есть два основных подхода.

### Несколько контейнеров { #multiple-containers }

AppType = TypeVar("AppType", bound="FastAPI")


class FastAPI(Starlette):
    """
    `FastAPI` app class, the main entrypoint to use FastAPI.

    Read more in the
    [FastAPI docs for First Steps](https://fastapi.tiangolo.com/tutorial/first-steps/).

    ## Example

    ```python
    from fastapi import FastAPI

    app = FastAPI()
    ```
    """

    def __init__(
        self: AppType,
        *,

For initial installations, see the [Setup topics][] in the Kubernetes
documentation.

To upgrade to this release from a previous version, take any actions required
[Before Upgrading](#before-upgrading).

For more information about the release and for the latest documentation,
see the [Kubernetes documentation](https://kubernetes.io/docs/home/).

[Setup topics]: https://kubernetes.io/docs/setup/pick-right-solution/

want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.

  Developers that use our General Public Licenses protect your rights
with two steps: (1) assert copyright on the software, and (2) offer
you this License which gives you legal permission to copy, distribute
and/or modify the software.

  A secondary benefit of defending all users' freedom is that

failure.
  * “kubectl rolling-update” only supports Replication Controllers (it doesn’t
support Replica Sets). It’s recommended to use Deployment 1.2 with “kubectl
rollout” commands instead, if you want to rolling update Replica Sets.
  * When live upgrading Kubelet to 1.2 without draining the pods running on the node,