return np, grid.NewRemoteErr(err)
	}

	return
}

// LoadUserHandler - reloads a user on the server.
func (s *peerRESTServer) LoadUserHandler(mss *grid.MSS) (np grid.NoPayload, nerr *grid.RemoteErr) {
	objAPI := newObjectLayerFn()
	if objAPI == nil {
		return np, grid.NewRemoteErr(errServerNotInitialized)
	}

	accessKey := mss.Get(peerRESTUser)
	if accessKey == "" {

type RenameOptions struct {
	BaseOptions
}

// DiskInfoOptions options for requesting custom results.
type DiskInfoOptions struct {
	DiskID  string `msg:"id"`
	Metrics bool   `msg:"m"`
	NoOp    bool   `msg:"np"`
}

// DiskInfo is an extended type which returns current
// disk usage per path.
// The above means that any added/deleted fields are incompatible.
//
// The above means that any added/deleted fields are incompatible.

## Instalacja

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

Na serwerze produkcyjnym będziesz także potrzebował serwera ASGI, np. <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> lub <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>.

<div class="termy">

```console

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

Jeśli stworzysz swoją aplikację, np.:

{* ../../docs_src/first_steps/tutorial002.py hl[3] *}

I umieścisz to w pliku `main.py`, to będziesz mógł tak wywołać `uvicorn`:

<div class="termy">

```console

				err = msgp.WrapError(err, "DiskID")
				return
			}
		case "m":
			z.Metrics, err = dc.ReadBool()
			if err != nil {
				err = msgp.WrapError(err, "Metrics")
				return
			}
		case "np":
			z.NoOp, err = dc.ReadBool()
			if err != nil {
				err = msgp.WrapError(err, "NoOp")
				return
			}
		default:
			err = dc.Skip()
			if err != nil {
				err = msgp.WrapError(err)

h3, h4, h5, h6 {\n  margin-top: 0;\n  margin-bottom: $headings-margin-bottom;\n}\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `<p>`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\np {\n  margin-top: 0;\n  margin-bottom: $paragraph-margin-bottom;\n}\n\n// Abbreviations\n//\n// 1. Duplicate behavior to the data-* attribute for our tooltip plugin\n// 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n// 3....

`tf.sparse_split`: `split_dim` becomes `axis` * `tf.listdiff` has been renamed
to `tf.setdiff1d` to match NumPy naming. * `tf.inv` has been renamed to be
`tf.reciprocal` (component-wise reciprocal) to avoid confusion with `np.inv`
which is matrix inversion * tf.round now uses banker's rounding (round to even)
semantics to match NumPy. * `tf.split` now takes arguments in a reversed order

h3, h4, h5, h6 {\n  margin-top: 0;\n  margin-bottom: $headings-margin-bottom;\n}\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `<p>`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\np {\n  margin-top: 0;\n  margin-bottom: $paragraph-margin-bottom;\n}\n\n// Abbreviations\n//\n// 1. Duplicate behavior to the data-* attribute for our tooltip plugin\n// 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n// 3....