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  1. docs_src/python_types/tutorial010.py

    class Person:
        def __init__(self, name: str):
            self.name = name
    
    
    def get_person_name(one_person: Person):
    Python
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  2. LICENSE

    Copyright (c) 2018 Sebastián Ramírez
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
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  3. docs/en/docs/python-types.md

    <img src="/img/python-types/image06.png">
    
    Notice that this means "`one_person` is an **instance** of the class `Person`".
    
    It doesn't mean "`one_person` is the **class** called `Person`".
    
    ## Pydantic models
    
    <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.
    
    You declare the "shape" of the data as classes with attributes.
    
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  4. docs/ru/docs/python-types.md

    ### Классы как типы
    
    Вы также можете объявить класс как тип переменной.
    
    Допустим, у вас есть класс `Person` с полем `name`:
    
    ```Python hl_lines="1-3"
    {!../../../docs_src/python_types/tutorial010.py!}
    ```
    
    Тогда вы можете объявить переменную типа `Person`:
    
    ```Python hl_lines="6"
    {!../../../docs_src/python_types/tutorial010.py!}
    ```
    
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  5. tests/test_jsonable_encoder.py

    from .utils import needs_pydanticv1, needs_pydanticv2
    
    
    class Person:
        def __init__(self, name: str):
            self.name = name
    
    
    class Pet:
        def __init__(self, owner: Person, name: str):
            self.owner = owner
            self.name = name
    
    
    @dataclass
    class Item:
        name: str
        count: int
    
    
    class DictablePerson(Person):
        def __iter__(self):
    Python
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  6. docs/en/docs/tutorial/metadata.md

    | `license_info`...
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  7. docs/uk/docs/python-types.md

    ### Класи як типи
    
    Ви також можете оголосити клас як тип змінної.
    
    Скажімо, у вас є клас `Person` з імʼям:
    
    ```Python hl_lines="1-3"
    {!../../../docs_src/python_types/tutorial010.py!}
    ```
    
    Потім ви можете оголосити змінну типу `Person`:
    
    ```Python hl_lines="6"
    {!../../../docs_src/python_types/tutorial010.py!}
    ```
    
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  8. docs/de/docs/python-types.md

    <img src="/img/python-types/image06.png">
    
    Beachten Sie, das bedeutet: „`one_person` ist eine **Instanz** der Klasse `Person`“.
    
    Es bedeutet nicht: „`one_person` ist die **Klasse** genannt `Person`“.
    
    ## Pydantic Modelle
    
    <a href="https://pydantic-docs.helpmanual.io/" class="external-link" target="_blank">Pydantic</a> ist eine Python-Bibliothek für die Validierung von Daten.
    
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  9. docs/bn/docs/python-types.md

    <img src="/img/python-types/image06.png">
    
    লক্ষ্য করুন যে এর মানে হল "`one_person` হল ক্লাস `Person`-এর একটি **ইন্সট্যান্স**।"
    
    এর মানে এটি নয় যে "`one_person` হল **ক্লাস** যাকে বলা হয় `Person`।"
    
    ## Pydantic মডেল
    
    [Pydantic](https://docs.pydantic.dev/) হল একটি Python লাইব্রেরি যা ডাটা ভ্যালিডেশন সম্পাদন করে।
    
    আপনি ডাটার "আকার" এট্রিবিউট সহ ক্লাস হিসেবে ঘোষণা করেন।
    
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  10. tests/test_read_with_orm_mode.py

        app = FastAPI()
    
        @app.post("/people/", response_model=PersonRead)
        def create_person(person: PersonCreate) -> Any:
            db_person = Person.model_validate(person)
            return db_person
    
        client = TestClient(app)
    
        person_data = {"name": "Dive", "lastname": "Wilson"}
        response = client.post("/people/", json=person_data)
        data = response.json()
        assert response.status_code == 200, response.text
    Python
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