```console
$ pip install fastapi

---> 100%
```

</div>

你同時也會需要 ASGI 伺服器用於生產環境，像是 <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> 或 <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>。

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

## 範例

### 建立

        final Set<String> highlightQueries = (Set<String>) params.getAttribute(Constants.HIGHLIGHT_QUERIES);
        if (highlightQueries != null) {
            final StringBuilder buf = new StringBuilder(100);
            highlightQueries.stream().forEach(q -> {
                buf.append("&hq=").append(LaFunctions.u(q));
            });
            data.setAppendHighlightParams(buf.toString());
        }

然后与Gunicorn兼容的**Uvicorn worker**类将负责将Gunicorn发送的数据转换为ASGI标准以供FastAPI使用。

## 安装 Gunicorn 和 Uvicorn

<div class="termy">

```console
$ pip install "uvicorn[standard]" gunicorn

---> 100%
```

</div>

这将安装带有`standard`扩展包（以获得高性能）的 Uvicorn 和 Gunicorn。

## Run Gunicorn with Uvicorn Workers

接下来你可以通过以下命令运行Gunicorn:

<div class="termy">

```console

          httpHeaders.add(name, value)
        } else {
          throw IllegalStateException()
        }
        if (name == "expect" && value.equals("100-continue", ignoreCase = true)) {
          // Don't read the body unless we've invited the client to send it.
          readBody = false
        }
      }
      val headers = httpHeaders.build()

        SuggestItem[] items = getPopularWordsItemSet2();
        suggester.indexer().index(items);
        suggester.refresh();

        PopularWordsResponse response = suggester.popularWords().setSize(100).execute().getResponse();

        assertEquals(5, response.getTotal());

        for (int i = 0; i < 5; i++) {
            assertEquals(5, response.getNum());
            boolean find = false;

```console
$ python -m pip install --upgrade pip

---> 100%
```

</div>

/// tip

每一次你在该环境下使用 `pip` 安装了新软件包时，请再次激活该环境。

这样可以确保你在使用由该软件包安装的终端程序时使用的是当前虚拟环境中的程序，而不是其他的可能是全局安装的程序。

///

### pip

如上所述激活环境后：

<div class="termy">

```console
$ pip install -r requirements.txt

---> 100%
```

</div>

这将在虚拟环境中安装所有依赖和本地版本的 FastAPI。

* Data tarafı için <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>.

## Kurulum

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

  optional LimitResponse limitResponse = 2;

  // `lendablePercent` prescribes the fraction of the level's NominalCL that
  // can be borrowed by other priority levels. The value of this
  // field must be between 0 and 100, inclusive, and it defaults to 0.
  // The number of seats that other levels can borrow from this level, known
  // as this level's LendableConcurrencyLimit (LendableCL), is defined as follows.
  //

  optional LimitResponse limitResponse = 2;

  // `lendablePercent` prescribes the fraction of the level's NominalCL that
  // can be borrowed by other priority levels. The value of this
  // field must be between 0 and 100, inclusive, and it defaults to 0.
  // The number of seats that other levels can borrow from this level, known
  // as this level's LendableConcurrencyLimit (LendableCL), is defined as follows.
  //

        this.sub_authority_count = src[ si++ ];
        this.identifier_authority = new byte[6];
        System.arraycopy(src, si, this.identifier_authority, 0, 6);
        si += 6;
        if ( this.sub_authority_count > 100 )
            throw new RuntimeCIFSException("Invalid SID sub_authority_count");
        this.sub_authority = new int[this.sub_authority_count];
        for ( int i = 0; i < this.sub_authority_count; i++ ) {