- そのため、画像・動画・大きなバイナリなどの大きなファイルでも、メモリを使い果たすことなくうまく動作します。
- アップロードされたファイルからメタデータを取得できます。
- [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) な `async` インターフェースを持ちます。
- 実際の Python の [`SpooledTemporaryFile`](https://docs.python.org/3/library/tempfile.html#tempfile.SpooledTemporaryFile) オブジェクトを公開しており、file-like オブジェクトを期待する他のライブラリにそのまま渡せます。

### `UploadFile` { #uploadfile }

`UploadFile` には次の属性があります:

`secrets.compare_digest()` needs to take `bytes` or a `str` that only contains ASCII characters (the ones in English), this means it wouldn't work with characters like `á`, as in `Sebastián`.

To handle that, we first convert the `username` and `password` to `bytes` encoding them with UTF-8.

# Files that should be ignored by tools which do not want to consider generated
# code.
#
# https://github.com/kubernetes/test-infra/blob/master/prow/plugins/size/size.go
#
# This file is a series of lines, each of the form:
#     <type> <name>
#
# Type can be:
#    path - an exact path to a single file
#    file-name - an exact leaf filename, regardless of path
#    path-prefix - a prefix match on the file path

<abbr title="too long; didn't read"><strong>TL;DR:</strong></abbr>

If you are using third party libraries that tell you to call them with `await`, like:

```Python
results = await some_library()
```

Then, declare your *path operation functions* with `async def` like:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note

		return strconv.FormatUint(uint64(v), 10)
	case uint64:
		return strconv.FormatUint(v, 10)
	}
	return ""
}

const nestedRelationSplit = "__"

// NestedRelationName nested relationships like `Manager__Company`
func NestedRelationName(prefix, name string) string {
	return prefix + nestedRelationSplit + name
}

// SplitNestedRelationName Split nested relationships to `[]string{"Manager","Company"}`

Let's start with an example and then see it in detail.

We create an async function `lifespan()` with `yield` like this:

{* ../../docs_src/events/tutorial003_py310.py hl[16,19] *}

# Server-Sent Events (SSE) { #server-sent-events-sse }

İstemciye veri akışını **Server-Sent Events** (SSE) ile sağlayabilirsiniz.

Bu, [JSON Lines Akışı](stream-json-lines.md) ile benzerdir ancak tarayıcılar tarafından yerel olarak desteklenen [`EventSource` API'si](https://developer.mozilla.org/en-US/docs/Web/API/EventSource) ile `text/event-stream` formatını kullanır.

/// info | Bilgi

FastAPI 0.135.0'da eklendi.

///

# События, отправляемые сервером (SSE) { #server-sent-events-sse }

Вы можете передавать данные потоком клиенту, используя Server-Sent Events (SSE).

Это похоже на [Стриминг JSON Lines](stream-json-lines.md), но использует формат `text/event-stream`, который нативно поддерживается браузерами через [`EventSource` API](https://developer.mozilla.org/en-US/docs/Web/API/EventSource).

/// info | Информация

Добавлено в FastAPI 0.135.0.

///

the result.

## Running Microbenchmarks

Running via an IDE is not supported as the results are meaningless
because we have no control over the JVM running the benchmarks.

If you want to run a specific benchmark class like, say,
`MemoryStatsBenchmark`, you can use `--args`:

```
gradlew -p benchmarks run --args 'MemoryStatsBenchmark'
```

Everything in the `'` gets sent on the command line to JMH.

# Події, надіслані сервером (SSE) { #server-sent-events-sse }

Ви можете транслювати дані клієнту за допомогою **Server-Sent Events** (SSE).

Це подібно до [Потік JSON Lines](stream-json-lines.md), але використовує формат `text/event-stream`, який нативно підтримується браузерами через [API `EventSource`](https://developer.mozilla.org/en-US/docs/Web/API/EventSource).

/// info | Інформація

Додано у FastAPI 0.135.0.

///