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docs/de/docs/tutorial/path-params.md
Erstellen Sie dann Klassen-Attribute mit festgelegten Werten, welches die erlaubten Werte sein werden: ```Python hl_lines="1 6-9" {!../../docs_src/path_params/tutorial005.py!} ``` /// info <a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerationen (oder kurz Enums)</a> gibt es in Python seit Version 3.4. /// /// tip | "Tipp"
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docs/de/docs/contributing.md
### Virtuelle Umgebung mit `venv` Sie können mit dem Python-Modul `venv` in einem Verzeichnis eine isolierte virtuelle lokale Umgebung erstellen. Machen wir das im geklonten Repository (da wo sich die `requirements.txt` befindet): <div class="termy"> ```console $ python -m venv env ``` </div>
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docs/ru/docs/tutorial/dependencies/index.md
//// tab | Python 3.10+ ```Python hl_lines="8-9" {!> ../../docs_src/dependencies/tutorial001_an_py310.py!} ``` //// //// tab | Python 3.9+ ```Python hl_lines="8-11" {!> ../../docs_src/dependencies/tutorial001_an_py39.py!} ``` //// //// tab | Python 3.8+ ```Python hl_lines="9-12" {!> ../../docs_src/dependencies/tutorial001_an.py!} ```
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docs/zh/docs/advanced/websockets.md
它们的工作方式与其他 FastAPI 端点/ *路径操作* 相同: //// tab | Python 3.10+ ```Python hl_lines="68-69 82" {!> ../../docs_src/websockets/tutorial002_an_py310.py!} ``` //// //// tab | Python 3.9+ ```Python hl_lines="68-69 82" {!> ../../docs_src/websockets/tutorial002_an_py39.py!} ``` //// //// tab | Python 3.8+ ```Python hl_lines="69-70 83"
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tensorflow/api_template_v1.__init__.py
# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.tools import module_util as _module_util from tensorflow.python.platform import tf_logging as _logging from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # API IMPORTS PLACEHOLDER
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Wed Oct 02 22:16:02 UTC 2024 - 7.5K bytes - Viewed (0) -
docs/ru/docs/tutorial/query-params-str-validations.md
//// tab | Python 3.10+ В Python 3.9 или выше, `Annotated` является частью стандартной библиотеки, таким образом вы можете импортировать его из `typing`. ```Python hl_lines="1 3" {!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!} ``` //// //// tab | Python 3.8+
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docs/de/docs/tutorial/schema-extra-example.md
//// tab | Python 3.10+ Pydantic v2 ```Python hl_lines="13-24" {!> ../../docs_src/schema_extra_example/tutorial001_py310.py!} ``` //// //// tab | Python 3.10+ Pydantic v1 ```Python hl_lines="13-23" {!> ../../docs_src/schema_extra_example/tutorial001_py310_pv1.py!} ``` //// //// tab | Python 3.8+ Pydantic v2 ```Python hl_lines="15-26"
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docs/de/docs/tutorial/query-params-str-validations.md
* `Annotated` von `typing` (oder von `typing_extensions` in Python unter 3.9) //// tab | Python 3.10+ In Python 3.9 oder darüber, ist `Annotated` Teil der Standardbibliothek, also können Sie es von `typing` importieren. ```Python hl_lines="1 3" {!> ../../docs_src/query_params_str_validations/tutorial002_an_py310.py!} ``` //// //// tab | Python 3.8+ In Versionen unter Python 3.9 importieren Sie `Annotated` von `typing_extensions`.
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docs/pt/docs/features.md
### Apenas Python moderno Tudo é baseado no padrão das declarações de **tipos do Python 3.8** (graças ao Pydantic). Nenhuma sintaxe nova para aprender. Apenas o padrão moderno do Python. Se você precisa refrescar a memória rapidamente sobre como usar tipos do Python (mesmo que você não use o FastAPI), confira esse rápido tutorial: [Tipos do Python](python-types.md){.internal-link target=_blank}.
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docs/em/docs/tutorial/dependencies/sub-dependencies.md
👫 💪 **⏬** 👆 💪 👫. **FastAPI** 🔜 ✊ 💅 🔬 👫. ## 🥇 🔗 "☑" 👆 💪 ✍ 🥇 🔗 ("☑") 💖: //// tab | 🐍 3️⃣.6️⃣ & 🔛 ```Python hl_lines="8-9" {!> ../../docs_src/dependencies/tutorial005.py!} ``` //// //// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛 ```Python hl_lines="6-7" {!> ../../docs_src/dependencies/tutorial005_py310.py!} ``` //// ⚫️ 📣 📦 🔢 🔢 `q` `str`, & ⤴️ ⚫️ 📨 ⚫️.
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