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  1. docs/en/docs/alternatives.md

    And these same full-stack generators were the base of the [**FastAPI** Project Generators](project-generation.md){.internal-link target=_blank}.
    
    !!! info
        Flask-apispec was created by the same Marshmallow developers.
    
    !!! check "Inspired **FastAPI** to"
        Generate the OpenAPI schema automatically, from the same code that defines serialization and validation.
    
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  2. docs/en/docs/benchmarks.md

        * So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement it all in your code).
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  3. docs/en/docs/tutorial/testing.md

    ```
    
    ### Testing file
    
    Then you could have a file `test_main.py` with your tests. It could live on the same Python package (the same directory with a `__init__.py` file):
    
    ``` hl_lines="5"
    .
    ├── app
    │   ├── __init__.py
    │   ├── main.py
    │   └── test_main.py
    ```
    
    Because this file is in the same package, you can use relative imports to import the object `app` from the `main` module (`main.py`):
    
    ```Python hl_lines="3"
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  4. docs/en/docs/tutorial/response-model.md

        {!> ../../../docs_src/response_model/tutorial002.py!}
        ```
    
    Now, whenever a browser is creating a user with a password, the API will return the same password in the response.
    
    In this case, it might not be a problem, because it's the same user sending the password.
    
    But if we use the same model for another *path operation*, we could be sending our user's passwords to every client.
    
    !!! danger
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  5. docs/en/docs/advanced/dataclasses.md

    And of course, it supports the same:
    
    * data validation
    * data serialization
    * data documentation, etc.
    
    This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.
    
    !!! info
        Keep in mind that dataclasses can't do everything Pydantic models can do.
    
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  6. docs/en/docs/tutorial/path-params.md

      ]
    }
    ```
    
    because the path parameter `item_id` had a value of `"foo"`, which is not an `int`.
    
    The same error would appear if you provided a `float` instead of an `int`, as in: <a href="http://127.0.0.1:8000/items/4.2" class="external-link" target="_blank">http://127.0.0.1:8000/items/4.2</a>
    
    !!! check
        So, with the same Python type declaration, **FastAPI** gives you data validation.
    
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  7. docs/en/docs/advanced/security/index.md

    ## Read the Tutorial first
    
    The next sections assume you already read the main [Tutorial - User Guide: Security](../../tutorial/security/index.md){.internal-link target=_blank}.
    
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  8. docs/en/docs/advanced/behind-a-proxy.md

    ## Testing locally with Traefik
    
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  9. fastapi/security/oauth2.py

        """
        This is a special class that you can define in a parameter in a dependency to
        obtain the OAuth2 scopes required by all the dependencies in the same chain.
    
        This way, multiple dependencies can have different scopes, even when used in the
        same *path operation*. And with this, you can access all the scopes required in
        all those dependencies in a single place.
    
        Read more about it in the
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  10. docs/en/docs/advanced/generate-clients.md

    You can see those schemas because they were declared with the models in the app.
    
    That information is available in the app's **OpenAPI schema**, and then shown in the API docs (by Swagger UI).
    
    And that same information from the models that is included in OpenAPI is what can be used to **generate the client code**.
    
    ### Generate a TypeScript Client
    
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