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docs/es/docs/tutorial/dependencies/classes-as-dependencies.md
``` entonces es un "callable". ## Clases como dependencias Puedes notar que para crear una instance de una clase en Python, utilizas esa misma sintaxis. Por ejemplo: ```Python class Cat: def __init__(self, name: str): self.name = name fluffy = Cat(name="Mr Fluffy") ``` En este caso, `fluffy` es una instance de la clase `Cat`. Y para crear `fluffy`, estás "llamando" a `Cat`.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Dec 30 18:26:57 UTC 2024 - 6.9K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
_site_packages_dirs = list(set(_site_packages_dirs)) # Find the location of this exact file. _current_file_location = _inspect.getfile(_inspect.currentframe()) def _running_from_pip_package(): return any( _current_file_location.startswith(dir_) for dir_ in _site_packages_dirs) if _running_from_pip_package(): # TODO(gunan): Add sanity checks to loaded modules here.
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Wed Oct 02 22:16:02 UTC 2024 - 7.5K bytes - Viewed (0) -
docs/fr/docs/features.md
```Python from datetime import date from pydantic import BaseModel # Déclare une variable comme étant une str # et profitez de l'aide de votre IDE dans cette fonction def main(user_id: str): return user_id # Un modèle Pydantic class User(BaseModel): id: int name: str joined: date ``` Qui peuvent ensuite être utilisés comme cela: ```Python
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okhttp/src/jvmTest/kotlin/okhttp3/WholeOperationTimeoutTest.kt
Registered: Fri Sep 05 11:42:10 UTC 2025 - Last Modified: Wed Jun 18 12:28:21 UTC 2025 - 10.6K bytes - Viewed (0) -
docs/pt/docs/tutorial/dependencies/classes-as-dependencies.md
Então esse objeto é um "chamável". ## Classes como dependências Você deve ter percebido que para criar um instância de uma classe em Python, a mesma sintaxe é utilizada. Por exemplo: ```Python class Cat: def __init__(self, name: str): self.name = name fluffy = Cat(name="Mr Fluffy") ``` Nesse caso, `fluffy` é uma instância da classe `Cat`. E para criar `fluffy`, você está "chamando" `Cat`.
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
## Classes as dependencies { #classes-as-dependencies_1 } You might notice that to create an instance of a Python class, you use that same syntax. For example: ```Python class Cat: def __init__(self, name: str): self.name = name fluffy = Cat(name="Mr Fluffy") ``` In this case, `fluffy` is an instance of the class `Cat`. And to create `fluffy`, you are "calling" `Cat`.
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docs/uk/docs/tutorial/request-files.md
Наприклад, всередині `async` *функції обробки шляху* Ви можете отримати вміст за допомогою: ```Python contents = await myfile.read() ``` Якщо Ви знаходитесь у звичайній `def` *функції обробки шляху*, Ви можете отримати доступ до `UploadFile.file` безпосередньо, наприклад: ```Python contents = myfile.file.read() ``` /// note | Технічні деталі `async`
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docs/ru/docs/tutorial/request-files.md
Например, внутри `async` *функции операции пути* можно получить содержимое с помощью: ```Python contents = await myfile.read() ``` Если вы находитесь внутри обычной `def` *функции операции пути*, можно получить прямой доступ к файлу `UploadFile.file`, например: ```Python contents = myfile.file.read() ``` /// note | Технические детали `async`
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 11.1K bytes - Viewed (0) -
docs/ru/docs/features.md
Вы пишете на стандартном Python с аннотациями типов: ```Python from datetime import date from pydantic import BaseModel # Объявляем параметр user_id с типом `str` # и получаем поддержку редактора внутри функции def main(user_id: str): return user_id # Модель Pydantic class User(BaseModel): id: int name: str joined: date ``` Это можно использовать так: ```Python
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Nov 09 16:39:20 UTC 2024 - 16.2K bytes - Viewed (0) -
docs/fa/docs/features.md
شما پایتون استاندارد را با استفاده از تایپ ها مینویسید: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` که سپس میتوان به این شکل از آن استفاده کرد: ```Python
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