///

## Run your code with your debugger { #run-your-code-with-your-debugger }

Because you are running the Uvicorn server directly from your code, you can call your Python program (your FastAPI application) directly from the debugger.

---

For example, in Visual Studio Code, you can:

* Go to the "Debug" panel.
* "Add configuration...".
* Select "Python"

            extraSteps = extraBuildSteps,
            preSteps = preBuildSteps,
        )

        failureConditions {
            // JavaExecDebugIntegrationTest.debug session fails without debugger might cause JVM crash
            // Some soak tests produce OOM exceptions
            // There are also random worker crashes for some tests.
            // We have test-retry to handle the crash in tests

```

은 실행되지 않습니다.

/// info | 정보

자세한 내용은 [공식 Python 문서](https://docs.python.org/3/library/__main__.html)를 확인하세요.

///

## 디버거로 코드 실행 { #run-your-code-with-your-debugger }

코드에서 직접 Uvicorn 서버를 실행하고 있기 때문에 디버거에서 직접 Python 프로그램(FastAPI 애플리케이션)을 호출할 수 있습니다.

---

예를 들어 Visual Studio Code에서 다음을 수행할 수 있습니다.

* "Debug" 패널로 이동합니다.
* "Add configuration...".
* "Python"을 선택합니다.

    uvicorn.run(app, host="0.0.0.0", port=8000)
```

就不會被執行。

/// info | 說明

想了解更多，參考 [Python 官方文件](https://docs.python.org/3/library/__main__.html)。

///

## 用偵錯器執行你的程式碼 { #run-your-code-with-your-debugger }

因為你是直接從程式碼中執行 Uvicorn 伺服器，所以你可以直接從偵錯器呼叫你的 Python 程式（你的 FastAPI 應用程式）。

---

例如，在 Visual Studio Code 中，你可以：

* 前往 "Debug" 面板
* 點選 "Add configuration..."
* 選擇 "Python"

2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```
(You can paste links or attach files by dragging & dropping them below)

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

/// info | 信息

更多信息请检查 [Python 官方文档](https://docs.python.org/3/library/__main__.html).

///

## 使用你的调试器运行代码 { #run-your-code-with-your-debugger }

由于是从代码直接运行的 Uvicorn 服务器，所以你可以从调试器直接调用 Python 程序（你的 FastAPI 应用）。

---

例如，你可以在 Visual Studio Code 中：

* 进入到「调试」面板。
* 「添加配置...」。
* 选中「Python」
* 运行「Python：当前文件（集成终端）」选项的调试器。

```

は実行されません。

/// info | 情報

より詳しい情報は、[公式Pythonドキュメント](https://docs.python.org/3/library/__main__.html)を参照してください。

///

## デバッガーでコードを実行 { #run-your-code-with-your-debugger }

コードから直接Uvicornサーバーを実行しているため、デバッガーから直接Pythonプログラム (FastAPIアプリケーション) を呼び出せます。

---

例えば、Visual Studio Codeでは、次のことが可能です:

* 「デバッグ」パネルに移動。
* 「構成の追加...」
* 「Python」を選択。

        }

        public int getPosition() {
            return idx < expression.length() ? idx : EOF;
        }

        // to make tokenizer look pretty in debugger
        @Override
        public String toString() {
            return idx < expression.length() ? expression.substring(idx) : "<EOF>";
        }
    }

    private ReflectionValueExtractor() {}

- In order to disable assertions add: `-Dtests.asserts=false`
- In order to use a custom data directory: `--data-dir=/tmp/foo`
- In order to preserve data in between executions: `--preserve-data`
- In order to remotely attach a debugger to the process: `--debug-jvm`
- In order to set a different keystore password: `--keystore-password`
- In order to set an Elasticsearch setting, provide a setting with the following prefix: `-Dtests.es.`

 *
 * - research extension points versus plugins
 *
 * from igor: two plugins A and B, both depend on the same library but use different versions, say
 * lib 1.0 and lib 2.0 when debugger hits a breakpoint inside a class from the library, IDE needs to
 * know which version of library the class comes from
 */