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  1. docs/en/docs/benchmarks.md

    * **FastAPI**:
        * The same way that Starlette uses Uvicorn and cannot be faster than it, **FastAPI** uses Starlette, so it cannot be faster than it.
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  2. docs/en/docs/tutorial/testing.md

    It is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, which in turn is designed based on Requests, so it's very familiar and intuitive.
    
    With it, you can use <a href="https://docs.pytest.org/" class="external-link" target="_blank">pytest</a> directly with **FastAPI**.
    
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  3. docs/en/docs/deployment/manually.md

    Just keep in mind that when you read "server" in general, it could refer to one of those two things.
    
    When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.
    
    ## Install the Server Program
    
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  4. docs/en/docs/advanced/dataclasses.md

    This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.
    
    So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.
    
    And of course, it supports the same:
    
    * data validation
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  5. docs/en/docs/reference/background.md

    # Background Tasks - `BackgroundTasks`
    
    You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent.
    
    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import BackgroundTasks
    ```
    
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  6. docs/en/docs/tutorial/path-params.md

    ```
    /files/{file_path:path}
    ```
    
    In this case, the name of the parameter is `file_path`, and the last part, `:path`, tells it that the parameter should match any *path*.
    
    So, you can use it with:
    
    ```Python hl_lines="6"
    {!../../../docs_src/path_params/tutorial004.py!}
    ```
    
    !!! tip
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  7. docs/en/docs/reference/request.md

    # `Request` class
    
    You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.
    
    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import Request
    ```
    
    !!! tip
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  8. docs/en/docs/advanced/security/index.md

    !!! tip
        The next sections are **not necessarily "advanced"**.
    
        And it's possible that for your use case, the solution is in one of them.
    
    ## Read the Tutorial first
    
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  9. fastapi/utils.py

    
    def generate_operation_id_for_path(
        *, name: str, path: str, method: str
    ) -> str:  # pragma: nocover
        warnings.warn(
            "fastapi.utils.generate_operation_id_for_path() was deprecated, "
            "it is not used internally, and will be removed soon",
            DeprecationWarning,
            stacklevel=2,
        )
        operation_id = f"{name}{path}"
        operation_id = re.sub(r"\W", "_", operation_id)
    Python
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  10. docs/en/docs/tutorial/security/first-steps.md

        That's because it is using the same name as in the OpenAPI spec. So that if you need to investigate more about any of these security schemes you can just copy and paste it to find more information about it.
    
    The `oauth2_scheme` variable is an instance of `OAuth2PasswordBearer`, but it is also a "callable".
    
    It could be called as:
    
    ```Python
    oauth2_scheme(some, parameters)
    ```
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