(y **FastAPI**) están basados en <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, lo que lo hace compatible tanto con la librería estándar de Python <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> como con <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

En particular, puedes usar directamente <a href="https://anyio.readthedocs.io/en/stable/"...

Starlette (و **FastAPI**) بر پایه <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a> هستن، که باعث می‌شه با کتابخونه استاندارد پایتون <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> و <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a> سازگار باشه.

**FastAPI**) basiert auf <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, was bedeutet, es ist sowohl kompatibel mit der Python-Standardbibliothek <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a>, als auch mit <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

Insbesondere können Sie <a href="https://anyio.readthedocs.io/en/stable/"...

         <match value="0x00" type="string" mask="0xF8" offset="5"/>
         <match value="0x08" type="string" mask="0xF8" offset="5"/>
         <match value="0x10" type="string" mask="0xF8" offset="5"/>
         <match value="0x18" type="string" mask="0xF8" offset="5"/>
         <match value="0x20" type="string" mask="0xF8" offset="5"/>
         <match value="0x28" type="string" mask="0xF8" offset="5"/>

				"application/dialog-info+xml",
				"application/dicom",
				"application/dita+xml",
				"application/dita+xml;format=map",
				"application/dita+xml;format=topic",
				"application/dita+xml;format=task",
				"application/dita+xml;format=concept",
				"application/dita+xml;format=val",
				"application/dns",
				"application/dvcs",
				"application/ecmascript",
				"application/edi-consent",

### 編寫自己的非同步程式碼

Starlette （和 **FastAPI**） 是基於 <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a> 實作的，這使得它們與 Python 標準函式庫相容 <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> 和 <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>。

## Dependencies

### Added
- cel.dev/expr: v0.15.0
- github.com/antlr4-go/antlr/v4: [v4.13.0](https://github.com/antlr4-go/antlr/tree/v4.13.0)
- github.com/go-task/slim-sprig/v3: [v3.0.0](https://github.com/go-task/slim-sprig/tree/v3.0.0)
- gopkg.in/evanphx/json-patch.v4: v4.12.0

### Changed
- cloud.google.com/go/compute/metadata: v0.2.3 → v0.3.0
- cloud.google.com/go/firestore: v1.11.0 → v1.12.0

    private final List<Header> requestHeaderList = new ArrayList<>();

    /** Map of HTTP client properties */
    private final Map<String, Object> httpClientPropertyMap = new HashMap<>();

    /** Task for monitoring idle connections */
    private TimeoutTask connectionMonitorTask;

    /** Connection timeout in milliseconds */
    protected Integer connectionTimeout;

### 당신만의 비동기 코드 작성하기

Starlette(그리고 FastAPI)는 <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>를 기반으로 하고있고, 따라서 파이썬 표준 라이브러리인 <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> 및 <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>와 호환됩니다.

// A Server instance encapsulates a set of devices and a Session target that
// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;