///

## Exécutez votre code avec votre <abbr title="En anglais: debugger">débogueur</abbr>

Parce que vous exécutez le serveur Uvicorn directement depuis votre code, vous pouvez appeler votre programme Python (votre application FastAPI) directement depuis le <abbr title="En anglais: debugger">débogueur</abbr>.

---

Par exemple, dans Visual Studio Code, vous pouvez :

///

## 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"
* Run the debugger with the option "`Python: Current File (Integrated Terminal)`".

        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
        javaCrash = false

				{
					Name: "initfoo",
				},
			},
			EphemeralContainers: []corev1.EphemeralContainer{
				{
					EphemeralContainerCommon: corev1.EphemeralContainerCommon{
						Name: "debugger",
					},
				},
			},
		},
		Status: corev1.PodStatus{
			Phase: corev1.PodRunning,
		},
	}
}

func attachDeploy(ns string) *appsv1.Deployment {
	return &appsv1.Deployment{

        }

        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() {}

This may help you better understand and contribute to Gradle.

### Debugging Gradle

You can debug Gradle by adding `-Dorg.gradle.debug=true` to the command-line. Gradle will wait for you to attach a debugger at `localhost:5005` by default.

If you made changes to build logic in the `build-logic` included build, you can run its tests by executing `./gradlew :build-logic:check`.

Notez que l'erreur mentionne le point exact où la validation n'a pas réussi.

Ce qui est incroyablement utile au moment de développer et débugger du code qui interagit avec votre API.

///

## Documentation

Et quand vous vous rendez sur <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>, vous verrez la

 *
 * - 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
 */

ifeq ($(origin DEBUG), undefined)
  BUILDTYPE_DIR:=release
else ifeq ($(DEBUG),0)
  BUILDTYPE_DIR:=release
else
  BUILDTYPE_DIR:=debug
  export GCFLAGS:=all=-N -l
  $(info $(H) Build with debugger information)
endif

# Optional file including user-specific settings (HUB, TAG, etc)
-include .istiorc.mk

# Environment for tests, the directory containing istio and deps binaries.

    Lite, supported by new `tf.contrib.quantize` package.
*   Easily customize gradient computation with `tf.custom_gradient`.
*   [TensorBoard Debugger Plugin](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/debugger/README.md),
    the graphical user interface (GUI) of TensorFlow Debugger (tfdbg), is now in
    alpha.
*   Experimental support for reading a sqlite database as a `Dataset` with new