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  1. docs/en/docs/tutorial/response-model.md

    * `tax: float = 10.5` has a default of `10.5`.
    * `tags: List[str] = []` has a default of an empty list: `[]`.
    
    but you might want to omit them from the result if they were not actually stored.
    
    For example, if you have models with many optional attributes in a NoSQL database, but you don't want to send very long JSON responses full of default values.
    
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  2. tests/test_tutorial/test_path_operation_advanced_configurations/test_tutorial004.py

                        "description": "Create an item with all the information:\n\n- **name**: each item must have a name\n- **description**: a long description\n- **price**: required\n- **tax**: if the item doesn't have tax, you can omit this\n- **tags**: a set of unique tag strings for this item",
                        "operationId": "create_item_items__post",
                        "requestBody": {
                            "content": {
    Python
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  3. pyproject.toml

    ]
    
    [tool.coverage.run]
    parallel = true
    source = [
        "docs_src",
        "tests",
        "fastapi"
    ]
    context = '${CONTEXT}'
    omit = [
        "docs_src/response_model/tutorial003_04.py",
        "docs_src/response_model/tutorial003_04_py310.py",
    ]
    
    [tool.ruff.lint]
    select = [
        "E",  # pycodestyle errors
        "W",  # pycodestyle warnings
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  4. tests/test_tutorial/test_path_operation_configurations/test_tutorial005.py

                        "description": "Create an item with all the information:\n\n- **name**: each item must have a name\n- **description**: a long description\n- **price**: required\n- **tax**: if the item doesn't have tax, you can omit this\n- **tags**: a set of unique tag strings for this item",
                        "operationId": "create_item_items__post",
                        "requestBody": {
                            "content": {
    Python
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  5. tests/test_tutorial/test_path_operation_configurations/test_tutorial005_py310.py

                        "description": "Create an item with all the information:\n\n- **name**: each item must have a name\n- **description**: a long description\n- **price**: required\n- **tax**: if the item doesn't have tax, you can omit this\n- **tags**: a set of unique tag strings for this item",
                        "operationId": "create_item_items__post",
                        "requestBody": {
                            "content": {
    Python
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  6. tests/test_tutorial/test_path_operation_configurations/test_tutorial005_py39.py

                        "description": "Create an item with all the information:\n\n- **name**: each item must have a name\n- **description**: a long description\n- **price**: required\n- **tax**: if the item doesn't have tax, you can omit this\n- **tags**: a set of unique tag strings for this item",
                        "operationId": "create_item_items__post",
                        "requestBody": {
                            "content": {
    Python
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  7. docs/en/docs/tutorial/body-updates.md

        But the example here uses `PATCH` because it was created for these use cases.
    
    !!! note
        Notice that the input model is still validated.
    
        So, if you want to receive partial updates that can omit all the attributes, you need to have a model with all the attributes marked as optional (with default values or `None`).
    
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  8. docs/de/docs/project-generation.md

    * Einfache Python-Integration mit **Jupyter-Kerneln** für Remote- oder In-Docker-Entwicklung mit Erweiterungen wie Atom Hydrogen oder Visual Studio Code Jupyter.
    * **Vue**-Frontend:
        * Mit Vue CLI generiert.
        * Handhabung der **JWT-Authentifizierung**.
        * Login-View.
        * Nach der Anmeldung Hauptansicht des Dashboards.
        * Haupt-Dashboard mit Benutzererstellung und -bearbeitung.
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  9. docs/de/docs/benchmarks.md

    Die Hierarchie ist wie folgt:
    
    * **Uvicorn**: ein ASGI-Server
        * **Starlette**: (verwendet Uvicorn) ein Web-Mikroframework
            * **FastAPI**: (verwendet Starlette) ein API-Mikroframework mit mehreren zusätzlichen Funktionen zum Erstellen von APIs, mit Datenvalidierung, usw.
    
    * **Uvicorn**:
        * Bietet die beste Leistung, da außer dem Server selbst nicht viel zusätzlicher Code vorhanden ist.
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  10. docs/de/docs/tutorial/body-nested-models.md

    Sie würden diese Editor-Unterstützung nicht erhalten, wenn Sie direkt mit `dict`, statt mit Pydantic-Modellen arbeiten würden.
    
    Aber Sie müssen sich auch nicht weiter um die Modelle kümmern, hereinkommende Dicts werden automatisch in sie konvertiert. Und was Sie zurückgeben, wird automatisch nach JSON konvertiert.
    
    ## Bodys mit beliebigen `dict`s
    
    Sie können einen Body auch als `dict` deklarieren, mit Schlüsseln eines Typs und Werten eines anderen Typs.
    
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