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docs/de/docs/tutorial/body-nested-models.md
=== "Python 3.10+" ```Python hl_lines="12" {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ## Set-Typen
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docs/en/docs/tutorial/path-params.md
!!! info <a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (or enums) are available in Python</a> since version 3.4. !!! 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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docs/en/docs/advanced/dataclasses.md
This way, its schema will show up in the API docs user interface: <img src="/img/tutorial/dataclasses/image01.png"> ## Dataclasses in Nested Data Structures You can also combine `dataclasses` with other type annotations to make nested data structures. In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.
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fastapi/param_functions.py
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docs/en/docs/alternatives.md
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docs/ru/docs/tutorial/path-params.md
<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Перечисления (enum) доступны в Python</a> начиная с версии 3.4. !!! tip "Подсказка" Если интересно, то "AlexNet", "ResNet" и "LeNet" - это названия <abbr title="Технически, это архитектуры моделей глубокого обучения">моделей</abbr> машинного обучения. ### Определение *параметра пути*
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docs/zh/docs/tutorial/path-params.md
``` !!! info "说明" Python 3.4 及之后版本支持<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">枚举(即 enums)</a>。 !!! tip "提示" **AlexNet**、**ResNet**、**LeNet** 是机器学习<abbr title="技术上来说是深度学习模型架构">模型</abbr>。 ### 声明*路径参数* 使用 Enum 类(`ModelName`)创建使用类型注解的*路径参数*: ```Python hl_lines="16" {!../../../docs_src/path_params/tutorial005.py!} ```
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docs/fr/docs/tutorial/path-params.md
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docs/ru/docs/tutorial/body-nested-models.md
=== "Python 3.10+" ```Python hl_lines="12" {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ## Типы множеств
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docs/en/docs/deployment/https.md
* Those certificates are actually **acquired** from the third party, not "generated". * Certificates have a **lifetime**. * They **expire**. * And then they need to be **renewed**, **acquired again** from the third party. * The encryption of the connection happens at the **TCP level**. * That's one layer **below HTTP**. * So, the **certificate and encryption** handling is done **before HTTP**.
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