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  1. docs/en/docs/tutorial/encoder.md

    # JSON Compatible Encoder
    
    There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).
    
    For example, if you need to store it in a database.
    
    For that, **FastAPI** provides a `jsonable_encoder()` function.
    
    ## Using the `jsonable_encoder`
    
    Let's imagine that you have a database `fake_db` that only receives JSON compatible data.
    
    Plain Text
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  2. docs/en/docs/tutorial/request-files.md

    * This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
    * You can get metadata from the uploaded file.
    * It has a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` interface.
    Plain Text
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  3. docs/en/docs/tutorial/extra-models.md

    #### Unwrapping a `dict` and extra keywords
    
    And then adding the extra keyword argument `hashed_password=hashed_password`, like in:
    
    ```Python
    UserInDB(**user_in.dict(), hashed_password=hashed_password)
    ```
    
    ...ends up being like:
    
    ```Python
    UserInDB(
        username = user_dict["username"],
        password = user_dict["password"],
        email = user_dict["email"],
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  4. docs/en/docs/css/termynal.css

        border-radius: 4px;
        padding: 75px 45px 35px;
        position: relative;
        -webkit-box-sizing: border-box;
                box-sizing: border-box;
        line-height: 1.2;
    }
    
    [data-termynal]:before {
        content: '';
        position: absolute;
        top: 15px;
        left: 15px;
        display: inline-block;
        width: 15px;
        height: 15px;
        border-radius: 50%;
    CSS
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  5. docs/en/docs/advanced/websockets.md

    ```console
    $ pip install websockets
    
    ---> 100%
    ```
    
    </div>
    
    ## WebSockets client
    
    ### In production
    
    In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular.
    
    And to communicate using WebSockets with your backend you would probably use your frontend's utilities.
    
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  6. docs/fr/docs/help-fastapi.md

    * Lire ce que j’écris (ou me suivre) sur <a href="https://dev.to/tiangolo" class="external-link" target="_blank">**Dev.to**</a> ou <a href="https://medium.com/@tiangolo" class="external-link" target="_blank">**Medium**</a>.
        * Lire d'autres idées, articles, et sur les outils que j'ai créés.
        * Suivez-moi pour lire quand je publie quelque chose de nouveau.
    
    ## Tweeter sur **FastAPI**
    
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  7. docs/en/docs/reference/staticfiles.md

    # Static Files - `StaticFiles`
    
    You can use the `StaticFiles` class to serve static files, like JavaScript, CSS, images, etc.
    
    Read more about it in the [FastAPI docs for Static Files](https://fastapi.tiangolo.com/tutorial/static-files/).
    
    You can import it directly from `fastapi.staticfiles`:
    
    ```python
    from fastapi.staticfiles import StaticFiles
    ```
    
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  8. docs_src/schema_extra_example/tutorial004_py310.py

                    "tax": 3.2,
                },
                {
                    "name": "Bar",
                    "price": "35.4",
                },
                {
                    "name": "Baz",
                    "price": "thirty five point four",
                },
            ],
        ),
    ):
        results = {"item_id": item_id, "item": item}
    Python
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  9. docs_src/handling_errors/tutorial004.py

        return PlainTextResponse(str(exc), status_code=400)
    
    
    @app.get("/items/{item_id}")
    async def read_item(item_id: int):
        if item_id == 3:
            raise HTTPException(status_code=418, detail="Nope! I don't like 3.")
    Python
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  10. docs_src/schema_extra_example/tutorial005_an.py

                    "invalid": {
                        "summary": "Invalid data is rejected with an error",
                        "value": {
                            "name": "Baz",
                            "price": "thirty five point four",
                        },
                    },
                },
            ),
        ],
    ):
        results = {"item_id": item_id, "item": item}
    Python
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