使用 `UploadFile` 相較於 `bytes` 有數個優點：

* 你不必在參數的預設值使用 `File()`。
* 它使用「spooled」檔案：
    * 檔案在記憶體中保存到某個大小上限，超過上限後會存到磁碟。
* 因此適合處理大型檔案（例如圖片、影片、大型二進位檔等），而不會耗盡記憶體。
* 你可以取得上傳檔案的中繼資料。
* 它提供一個[file-like](https://docs.python.org/3/glossary.html#term-file-like-object) 的 `async` 介面。
* 它會提供實際的 Python [`SpooledTemporaryFile`](https://docs.python.org/3/library/tempfile.html#tempfile.SpooledTemporaryFile) 物件，你可以直接傳給需要類檔案物件的其他函式或函式庫。

### `UploadFile` { #uploadfile }

		result.combine(e.Between.Start.analyze(s))
		result.combine(e.Between.End.analyze(s))
	case e.In != nil:
		result.combine(e.In.analyze(s))
	case e.Like != nil:
		result.combine(e.Like.Pattern.analyze(s))
		if e.Like.EscapeChar != nil {
			result.combine(e.Like.EscapeChar.analyze(s))
		}
	default:
		result = qProp{err: errUnexpectedInvalidNode}
	}
	return result
}

The key factor is that a dependency should be a "callable".

A "**callable**" in Python is anything that Python can "call" like a function.

So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like:

```Python
something()
```

or

```Python
something(some_argument, some_keyword_argument="foo")
```

then it is a "callable".

// constant) is one of the TBL-like instructions and one of its
// inputs does not fit into prog.Reg, so require special handling.
func IsARM64TBL(op obj.As) bool {
	switch op {
	case arm64.AVTBL, arm64.AVTBX, arm64.AVMOVQ:
		return true
	}
	return false
}

// IsARM64CASP reports whether the op (as defined by an arm64.A*
// constant) is one of the CASP-like instructions, and its 2nd

      if (openJSSE != null) {
        return openJSSE
      }
    }

    // An Oracle JDK 9 like OpenJDK, or JDK 8 251+.
    val jdk9 = Jdk9Platform.buildIfSupported()

    if (jdk9 != null) {
      return jdk9
    }

    // An Oracle JDK 8 like OpenJDK, pre 251.
    val jdkWithJettyBoot = Jdk8WithJettyBootPlatform.buildIfSupported()

    if (jdkWithJettyBoot != null) {

     */

    int PIPE_TYPE_RDWR = SmbConstants.O_RDWR;

    /**
     * Pipe operations should behave like the <code>CallNamedPipe</code> Win32 Named Pipe function.
     */

    int PIPE_TYPE_CALL = 0x0100;

    /**
     * Pipe operations should behave like the <code>TransactNamedPipe</code> Win32 Named Pipe function.
     */

    int PIPE_TYPE_TRANSACT = 0x0200;

    /**

</div>

You could send a request like:

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip

`aGVsbG8=` is the base64 encoding of `hello`.

///

And then Pydantic will decode the base64 string and give you the original bytes in the `data` field of the model.

You will receive a response like:

```json
{
  "description": "Some data",

      </phases>
    </lifecycle>
  </lifecycles>
</configuration>

We need to turn this list of phases into a set of plugin objects that have an XML representation like the following:

<plugins>
  <plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-resources-plugin</artifactId>
    <executions>
      <execution>
        <goals>

* "스풀 파일"을 사용합니다.
    *  최대 크기 제한까지만 메모리에 저장되며, 이를 초과하는 경우 디스크에 저장됩니다.
* 따라서 이미지, 동영상, 큰 이진코드와 같은 대용량 파일들을 많은 메모리를 소모하지 않고 처리하기에 적합합니다.
* 업로드 된 파일의 메타데이터를 얻을 수 있습니다.
* [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) `async` 인터페이스를 갖고 있습니다.
* file-like object를 필요로하는 다른 라이브러리에 직접적으로 전달할 수 있는 파이썬 [`SpooledTemporaryFile`](https://docs.python.org/3/library/tempfile.html#tempfile.SpooledTemporaryFile) 객체를 반환합니다.

  }

  fun assertRequests(vararg expectedHosts: String?) {
    assertThat(requestedHosts).containsExactly(*expectedHosts)
    requestedHosts.clear()
  }

  /** Allocates and returns `count` fake IPv4 addresses like [255.0.0.100, 255.0.0.101].  */
  fun allocate(count: Int): List<InetAddress> {
    val from = nextAddress
    nextAddress += count
    return (from until nextAddress)
      .map {