---

Si vous utilisez Pycharm, vous pouvez :

- Ouvrir le menu "Run".
- Sélectionnez l'option "Debug...".
- Un menu contextuel s'affiche alors.
- Sélectionnez le fichier à déboguer (dans ce cas, `main.py`).

Il démarrera alors le serveur avec votre code **FastAPI**, s'arrêtera à vos points d'arrêt, etc.

Voici à quoi cela pourrait ressembler :

nDescr":"NO EVIDENCE OF REG","Fine":50,"Latitude":99999,"Longitude":99999} {"Ticket":1103700150,"IssueData":"2015-12-21T00:00:00","IssueTime":"1435","RPState":"CA","PlateExpiry":"201512","Make":"GMC","BodyStyle":"VN","Color":"WH","Location":"525 S MAIN ST","Route":"1C51","Agency":1,"ViolationCode":"4000A1","ViolationDescr":"NO EVIDENCE OF REG","Fine":50,"Latitude":99999,"Longitude":99999} {"Ticket":1104803000,"IssueData":"2015-12-21T00:00:00","IssueTime":"2055","RPState":"CA","PlateExpiry":"2015...

            targets {
                all {
                    testTask.configure {
                        testClassesDirs += sharedArchTestClasses.filter { it.isDirectory }
                        classpath += sourceSets["main"].output.classesDirs
                        systemProperty("package.cycle.exclude.patterns", packageCyclesExtension.excludePatterns.get().joinToString(","))

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap

            System.out.println(responseHeaders.name(i) + ": " + responseHeaders.value(i));
          }

          System.out.println(responseBody.string());
        }
      }
    });
  }

  public static void main(String... args) throws Exception {
    new AsynchronousGet().run();
  }

      }
    }
  }

  static class Gist {
    Map<String, GistFile> files;
  }

  static class GistFile {
    String content;
  }

  public static void main(String... args) throws Exception {
    new ParseResponseWithMoshi().run();
  }

 *
 * @since 4.0.0
 */
@Experimental
@FunctionalInterface
@Consumer
@ThreadSafe
public interface Mojo {
    /**
     * Perform whatever build-process behavior this {@code Mojo} implements.
     * This is the main trigger for the {@code Mojo} inside the Maven system,
     * and allows the {@code Mojo} to communicate errors.
     *
     * @throws MojoException if a problem occurs
     */
    void execute();

fi

# Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser.
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling

## Jalankan kode

Semua blok-blok kode dapat disalin dan digunakan langsung (Mereka semua sebenarnya adalah file python yang sudah teruji).

Untuk menjalankan setiap contoh, salin kode ke file `main.py`, dan jalankan `uvicorn` dengan:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

</div>

<details markdown="1">
<summary>নির্দেশনা সম্পর্কে <code>uvicorn main:app --reload</code>...</summary>

`uvicorn main:app` নির্দেশনাটি দ্বারা বোঝায়:

- `main`: ফাইল `main.py` (পাইথন "মডিউল")।
- `app`: `app = FastAPI()` লাইন দিয়ে `main.py` এর ভিতরে তৈরি করা অবজেক্ট।
- `--reload`: কোড পরিবর্তনের পরে সার্ভার পুনরায় চালু করুন। এটি শুধুমাত্র ডেভেলপমেন্ট এর সময় ব্যবহার করুন।

</details>

### এটা চেক করুন