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  1. docs/vi/docs/features.md

    * <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank"><strong>OpenAPI</strong></a> cho việc tạo API, bao gồm những khai báo về <abbr title="cũng được biết đến như: endpoints, routes">đường dẫn</abbr> <abbr title="cũng được biết đến như các phương thức HTTP, như POST, GET, PUT, DELETE"> các toán tử</abbr>, tham số, body requests, cơ chế bảo mật, etc.
    Plain Text
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  2. docs/en/docs/tutorial/response-model.md

    `response_model` receives the same type you would declare for a Pydantic model field, so, it can be a Pydantic model, but it can also be, e.g. a `list` of Pydantic models, like `List[Item]`.
    
    FastAPI will use this `response_model` to do all the data documentation, validation, etc. and also to **convert and filter the output data** to its type declaration.
    
    !!! tip
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  3. tests/test_response_by_alias.py

                                },
                            }
                        },
                    }
                },
                "/list": {
                    "get": {
                        "summary": "Read List",
                        "operationId": "read_list_list_get",
                        "responses": {
                            "200": {
                                "description": "Successful Response",
    Python
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  4. tests/test_compat.py

        assert is_bytes_sequence_annotation(Union[List[str], List[bytes]])
    
    
    def test_is_uploadfile_sequence_annotation():
        # For coverage
        # TODO: in theory this would allow declaring types that could be lists of UploadFile
        # and other types, but I'm not even sure it's a good idea to support it as a first
        # class "feature"
    Python
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  5. docs/az/docs/fastapi-people.md

    ---
    
    # FastAPI İnsanlar
    
    FastAPI-ın bütün mənşəli insanları qəbul edən heyrətamiz icması var.
    
    
    
    ## Yaradıcı - İcraçı
    
    Salam! 👋
    
    Bu mənəm:
    
    {% if people %}
    <div class="user-list user-list-center">
    {% for user in people.maintainers %}
    
    Plain Text
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  6. docs/tr/docs/fastapi-people.md

    ---
    
    # FastAPI Topluluğu
    
    FastAPI, her kökenden insanı ağırlayan harika bir topluluğa sahip.
    
    ## Yazan - Geliştiren
    
    Merhaba! 👋
    
    İşte bu benim:
    
    {% if people %}
    <div class="user-list user-list-center">
    {% for user in people.maintainers %}
    
    Plain Text
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  7. docs/de/docs/tutorial/body-nested-models.md

    ```Python
    my_list: list[str]
    ```
    
    Und in Python-Versionen vor 3.9:
    
    ```Python
    from typing import List
    
    my_list: List[str]
    ```
    
    Das ist alles Standard-Python-Syntax für Typdeklarationen.
    
    Verwenden Sie dieselbe Standardsyntax für Modellattribute mit inneren Typen.
    
    In unserem Beispiel können wir also bewirken, dass `tags` spezifisch eine „Liste von Strings“ ist:
    
    === "Python 3.10+"
    
        ```Python hl_lines="12"
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  8. tests/test_typing_python39.py

    from .utils import needs_py310
    
    
    @needs_py310
    def test_typing():
        types = {
            list[int]: [1, 2, 3],
            dict[str, list[int]]: {"a": [1, 2, 3], "b": [4, 5, 6]},
            set[int]: [1, 2, 3],  # `set` is converted to `list`
            tuple[int, ...]: [1, 2, 3],  # `tuple` is converted to `list`
        }
        for test_type, expect in types.items():
            app = FastAPI()
    
    Python
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  9. tests/test_ws_dependencies.py

    import json
    from typing import List
    
    from fastapi import APIRouter, Depends, FastAPI, WebSocket
    from fastapi.testclient import TestClient
    from typing_extensions import Annotated
    
    
    def dependency_list() -> List[str]:
        return []
    
    
    DepList = Annotated[List[str], Depends(dependency_list)]
    
    
    def create_dependency(name: str):
        def fun(deps: DepList):
            deps.append(name)
    
        return Depends(fun)
    
    
    Python
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  10. pdm_build.py

        # Get main optional dependencies, extras
        optional_dependencies: Dict[str, List[str]] = metadata.get(
            "optional-dependencies", {}
        )
        # Get custom optional dependencies name to always include in this (non-slim) package
        include_optional_dependencies: List[str] = config.get(
            "include-optional-dependencies", []
        )
    Python
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