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  1. docs/en/docs/advanced/middleware.md

    ```Python hl_lines="2  6-8"
    {!../../../docs_src/advanced_middleware/tutorial002.py!}
    ```
    
    The following arguments are supported:
    
    * `allowed_hosts` - A list of domain names that should be allowed as hostnames. Wildcard domains such as `*.example.com` are supported for matching subdomains. To allow any hostname either use `allowed_hosts=["*"]` or omit the middleware.
    
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  2. fastapi/utils.py

            "4XX",
            "5XX",
        }:
            return True
        current_status_code = int(status_code)
        return not (current_status_code < 200 or current_status_code in {204, 205, 304})
    
    
    def get_path_param_names(path: str) -> Set[str]:
        return set(re.findall("{(.*?)}", path))
    
    
    def create_response_field(
        name: str,
        type_: Type[Any],
        class_validators: Optional[Dict[str, Validator]] = None,
    Python
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  3. docs/en/docs/tutorial/path-params.md

    !!! tip
        If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.
    
    ### Declare a *path parameter*
    
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  4. docs/en/docs/deployment/manually.md

    * <a href="https://github.com/django/daphne" class="external-link" target="_blank">Daphne</a>: the ASGI server built for Django Channels.
    
    ## Server Machine and Server Program
    
    There's a small detail about names to keep in mind. 💡
    
    The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).
    
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  5. tests/test_operations_signatures.py

    import inspect
    
    from fastapi import APIRouter, FastAPI
    
    method_names = ["get", "put", "post", "delete", "options", "head", "patch", "trace"]
    
    
    def test_signatures_consistency():
        base_sig = inspect.signature(APIRouter.get)
        for method_name in method_names:
            router_method = getattr(APIRouter, method_name)
            app_method = getattr(FastAPI, method_name)
            router_sig = inspect.signature(router_method)
    Python
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  6. docs/en/docs/tutorial/body-multiple-params.md

        ```
    
    In this case, **FastAPI** will notice that there are more than one body parameters in the function (two parameters that are Pydantic models).
    
    So, it will then use the parameter names as keys (field names) in the body, and expect a body like:
    
    ```JSON
    {
        "item": {
            "name": "Foo",
            "description": "The pretender",
            "price": 42.0,
            "tax": 3.2
        },
        "user": {
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  7. CITATION.cff

    cff-version: 1.2.0
    title: FastAPI
    message: >-
      If you use this software, please cite it using the
      metadata from this file.
    type: software
    authors:
      - given-names: Sebastián
        family-names: Ramírez
        email: ******@****.***
    identifiers:
    repository-code: 'https://github.com/tiangolo/fastapi'
    url: 'https://fastapi.tiangolo.com'
    abstract: >-
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  8. docs/en/docs/advanced/openapi-webhooks.md

    ## Documenting webhooks with **FastAPI** and OpenAPI
    
    With **FastAPI**, using OpenAPI, you can define the names of these webhooks, the types of HTTP operations that your app can send (e.g. `POST`, `PUT`, etc.) and the request **bodies** that your app would send.
    
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  9. docs/en/docs/tutorial/extra-models.md

    As code duplication increments the chances of bugs, security issues, code desynchronization issues (when you update in one place but not in the others), etc.
    
    And these models are all sharing a lot of the data and duplicating attribute names and types.
    
    We could do better.
    
    We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).
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  10. docs/en/docs/tutorial/body-nested-models.md

    ## Nested Models
    
    Each attribute of a Pydantic model has a type.
    
    But that type can itself be another Pydantic model.
    
    So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.
    
    All that, arbitrarily nested.
    
    ### Define a submodel
    
    For example, we can define an `Image` model:
    
    === "Python 3.10+"
    
        ```Python hl_lines="7-9"
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