- Now click on the new project you just created. The URL should be `https://builds.gradle.org/admin/editProject.html?projectId=Gradle_<MyTestBranch>`.
- Click `Versioned Settings` on the left sidebar.
  - Select `Synchronization enabled` - `use settings from VCS` - `MyNewVcsRoot`(the one you just created) - `Settings format: Kotlin`, then `Apply`.

But this way we can focus on how the **Dependency Injection** system works.

### Create a dependency, or "dependable"

Let's first focus on the dependency.

It is just a function that can take all the same parameters that a *path operation function* can take:

=== "Python 3.10+"

    ```Python hl_lines="8-9"
    {!> ../../../docs_src/dependencies/tutorial001_an_py310.py!}
    ```

!!! note "Technical Details"
    You could also use `from starlette.testclient import TestClient`.

    **FastAPI** provides the same `starlette.testclient` as `fastapi.testclient` just as a convenience for you, the developer. But it comes directly from Starlette.

!!! tip

    return freshness.get();
  }

  @SuppressWarnings("removal") // b/321209431 -- maybe just use valueOf here?
  @Generates
  Integer generateInteger() {
    return new Integer(generateInt());
  }

  @Generates
  long generateLong() {
    return generateInt();
  }

  @SuppressWarnings("removal") // b/321209431 -- maybe just use valueOf here?
  @Generates
  Long generateLongObject() {

Si vous ne voulez pas leur donner de valeur par défaut mais juste les rendre optionnels, utilisez `None` comme valeur par défaut.

Mais si vous voulez rendre un paramètre de requête obligatoire, vous pouvez juste ne pas y affecter de valeur par défaut :

```Python hl_lines="6-7"
{!../../../docs_src/query_params/tutorial005.py!}
```

```Python hl_lines="2"
@app.get('/')
def results():
    results = some_library()
    return results
```

---

If your application (somehow) doesn't have to communicate with anything else and wait for it to respond, use `async def`.

---

If you just don't know, use normal `def`.

---

## Response with arbitrary `dict`

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

This is useful if you don't know the valid field/attribute names (that would be needed for a Pydantic model) beforehand.

In this case, you can use `typing.Dict` (or just `dict` in Python 3.9 and above):

=== "Python 3.9+"

    ```Python hl_lines="6"

            }
            bufferIndex += this.byteCount;
        }

        /*
         * if there is an andx and it itself is an andx then just recur by
         * calling this method for it. otherwise just read it's parameter words
         * and bytes as usual. Note how we can't just call andx.readWireFormat
         * because there's no header.
         */

        if ( this.errorCode != 0 || this.andxCommand == (byte) 0xFF ) {

          // In the case of a concurrent remove, we might observe a zero value, which means another
          // thread is about to remove (element, existingCounter) from the map. Rather than wait,
          // we can just do that work here.
          AtomicInteger newCounter = new AtomicInteger(occurrences);
          if ((countMap.putIfAbsent(element, newCounter) == null)
              || countMap.replace(element, existingCounter, newCounter)) {

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Faite en python moderne

Tout est basé sur la déclaration de type standard de **Python 3.8** (grâce à Pydantic). Pas de nouvelles syntaxes à apprendre. Juste du Python standard et moderne.