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)`".

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

```

Here are the steps to resolve the issue:

1. Open the failure report mentioned in the output.\
If you don't see the report link in the output in the IDE, make sure to select the top-level node in the structured output panel.
The report will explain the errors in detail.
Perhaps, you forgot to add an `@Incubating` annotation or `@since` in the javadoc.

2. Accept the changes.\

// Submitted by Arturo Borrero Gonzalez <******@****.***>
wmflabs.org
toolforge.org
wmcloud.org

// WISP : https://wisp.gg
// Submitted by Stepan Fedotov <******@****.***>
panel.gg
daemon.panel.gg

// Wizard Zines : https://wizardzines.com
// Submitted by Julia Evans <******@****.***>
messwithdns.com

// WoltLab GmbH : https://www.woltlab.com

* **Vue** ile frontend:
    * Vue CLI ile oluşturulmuş.
    * Dahili **JWT kimlik doğrulama**.
    * Dahili Login.
    * Login sonrası, Kontrol paneli.
    * Kullanıcı oluşturma ve düzenleme kontrol paneli
    * Kendi kendine kullanıcı sürümü.
    * **Vuex**.
    * **Vue-router**.
    * **Vuetify** güzel material design kompanentleri için.
    * **TypeScript**.

### Create a backup job

#### Backup Virtual Machines with Veeam Backup and Replication

- Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.

- On the Storage screen, choose the Scale-out Backup Repository that was configured previously.

Niklas SilfverströM, Niranjan Hasabnis, Nuka-137, Nutti, ocjosen, olicht,
omeir1, P Sudeepam, Paige Bailey, Palmer Lao, Pan Daoxin, Pariksheet Pinjari,
Pasquale Minervini, Patrick J. Lopresti, Patrik Gustavsson, Pavel Akhtyamov,
Pavel Samolysov, PENGWA, per1234, PeterLee, Phan Van Nguyen Duc, Philipp Jund,
Phillip Kravtsov, Pooya Davoodi, Pranav Marathe, Putra Manggala, Qingqing Cao, R

* **Deep Learning**: Esse é um subcampo do Machine Learning, então o mesmo se aplica. A diferença é que não há apenas uma grande folha de papel com números para multiplicar, mas um grande conjunto de folhas de papel, e em muitos casos, você utiliza um processador especial para construir e/ou usar modelos.