}

	appParams := cmd.OpenIDClientAppParams{
		ClientID:     "minio-client-app",
		ClientSecret: "minio-client-app-secret",
		ProviderURL:  "http://127.0.0.1:5556/dex",
		RedirectURL:  "http://127.0.0.1:10000/oauth_callback",
	}

	oidcToken, err := cmd.MockOpenIDTestUserInteraction(ctx, appParams, "******@****.***", "dillon")

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

    steps:
      - uses: docker://agilepathway/pull-request-label-checker:latest
        with:
          one_of: breaking,security,feature,bug,refactor,upgrade,docs,lang-all,internal

    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v8
      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}
        stale-issue-message: "This issue has been automatically marked as stale because it has been open 360 days with no activity. Remove stale label or comment or this will be closed in 180 days"

    protected static final String OIC_TOKEN_SERVER_URL = "oic.token.server.url";

    /** Configuration key for OpenID Connect client secret. */
    protected static final String OIC_CLIENT_SECRET = "oic.client.secret";

    /** Session key for OpenID Connect state parameter. */
    protected static final String OIC_STATE = "OIC_STATE";

    /** Configuration key for OpenID Connect base URL. */

    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v8
      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}

	exit 1
fi

s3-check-md5 -versions -access-key minioadmin -secret-key minioadmin -endpoint http://127.0.0.1:9001/ -bucket bucket2
s3-check-md5 -versions -access-key minioadmin -secret-key minioadmin -endpoint http://127.0.0.1:9001/ -bucket versioned

Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.dict()
```

    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v8
      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}

    return [pet1, pet2]


client = TestClient(app)


def test_filter_top_level_model():
    response = client.post(
        "/users", json={"email": "******@****.***", "password": "secret"}
    )
    assert response.json() == {"email": "******@****.***"}


def test_filter_second_level_model():
    response = client.get("/pets/1")
    assert response.json() == {
        "name": "Nibbler",