- commit
  - comment_added

automations:

  # Also post a comment that lists the best experts for the files that were modified.
  comment_experts:
    if:
      - {{ ('code_experts' | isEnabledAutomation(pr)) }}
    run:
      - action: explain-code-experts@v1
        args:

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* usw.

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "Hinweis"

与指定响应模型的方式相同，在以下任意*路径操作*中，可以使用 `status_code` 参数声明用于响应的 HTTP 状态码：

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* 等……

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "笔记"

    注意，`status_code` 是（`get`、`post` 等）**装饰器**方法中的参数。与之前的参数和请求体不同，不是*路径操作函数*的参数。

`status_code` 参数接收表示 HTTP 状态码的数字。

!!! info "说明"

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* など。

```Python hl_lines="6"
{!../../../docs_src/response_status_code/tutorial001.py!}
```

!!! note "備考"
    `status_code`は「デコレータ」メソッド（`get`、`post`など）のパラメータであることに注意してください。すべてのパラメータやボディのように、*path operation関数*のものではありません。

`status_code`パラメータはHTTPステータスコードを含む数値を受け取ります。

!!! info "情報"

你可能之前已经了解到，你可以设置默认的[响应状态码](../tutorial/response-status-code.md){.internal-link target=_blank}。

但在某些情况下，你需要返回一个不同于默认值的状态码。

## 使用场景

例如，假设你想默认返回一个HTTP状态码为“OK”`200`。

但如果数据不存在，你想创建它，并返回一个HTTP状态码为“CREATED”`201`。

但你仍然希望能够使用`response_model`过滤和转换你返回的数据。

对于这些情况，你可以使用一个`Response`参数。

## 使用 `Response` 参数

你可以在你的*路径操作函数*中声明一个`Response`类型的参数（就像你可以为cookies和头部做的那样）。

然后你可以在这个*临时*响应对象中设置`status_code`。

```Python hl_lines="1  9  12"

    export flags="--config=opt -k"
    ```

    If the tests are to be run on the GPU, add CUDA paths to LD_LIBRARY_PATH and
    add the `cuda` option flag

    ```bash
    export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
    export flags="--config=opt --config=cuda -k"
    ```

    For example, to run all tests under tensorflow/python, do:

    ```bash

libcudnn8=8.9.6.50-1+cuda12.2
libcudnn8-dev=8.9.6.50-1+cuda12.2

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.

-   Nightly jobs (Run nightly on the `nightly` branch)
    -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`
-   Presubmit jobs (Run on every GitHub PR)
    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

-   Different Python versions

## Código de Status da Resposta

Você pode definir o `status_code` (HTTP) para ser usado na resposta da sua *operação de rota*.

Você pode passar diretamente o código `int`, como `404`.

Mas se você não se lembrar o que cada código numérico significa, pode usar as constantes de atalho em `status`:

=== "Python 3.8 and above"

    ```Python hl_lines="3  17"

    --experimental_cc_shared_library \
    --@local_config_cuda//:enable_cuda \
    --define framework_shared_object=false \
    "somepath(//tensorflow/tools/pip_package:build_pip_package, " \
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cuda_driver + "\
    "@local_config_cuda//cuda:cudnn + "\
    "@local_config_cuda//cuda:curand + "\
    "@local_config_cuda//cuda:cusolver + "\