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docs/en/docs/advanced/settings.md
And the `items_per_user` would keep its default value of `50`. ## Settings in another module You could put those settings in another module file as you saw in [Bigger Applications - Multiple Files](../tutorial/bigger-applications.md){.internal-link target=_blank}. For example, you could have a file `config.py` with: ```Python {!../../../docs_src/settings/app01/config.py!} ```
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docs/zh/docs/advanced/settings.md
然后,`admin_email` 设置将为 `"******@****.***"`。 `app_name` 将为 `"ChimichangApp"`。 而 `items_per_user` 将保持其默认值为 `50`。 ## 在另一个模块中设置 您可以将这些设置放在另一个模块文件中,就像您在[Bigger Applications - Multiple Files](../tutorial/bigger-applications.md){.internal-link target=_blank}中所见的那样。 例如,您可以创建一个名为 `config.py` 的文件,其中包含以下内容: ```Python {!../../../docs_src/settings/app01/config.py!} ```
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fastapi/dependencies/utils.py
from fastapi.concurrency import ( asynccontextmanager, contextmanager_in_threadpool, ) from fastapi.dependencies.models import Dependant, SecurityRequirement from fastapi.logger import logger from fastapi.security.base import SecurityBase from fastapi.security.oauth2 import OAuth2, SecurityScopes from fastapi.security.open_id_connect_url import OpenIdConnect
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docs/em/docs/deployment/docker.md
COPY ./requirements.txt /app/requirements.txt RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt COPY ./app /app ``` ### 🦏 🈸 🚥 👆 ⏩ 📄 🔃 🏗 [🦏 🈸 ⏮️ 💗 📁](../tutorial/bigger-applications.md){.internal-link target=_blank}, 👆 `Dockerfile` 💪 ↩️ 👀 💖: ```Dockerfile hl_lines="7" FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9 COPY ./requirements.txt /app/requirements.txt
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docs/ja/docs/deployment/docker.md
COPY ./requirements.txt /app/requirements.txt RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt COPY ./app /app ``` ### より大きなアプリケーション [複数のファイルを持つ大きなアプリケーション](../tutorial/bigger-applications.md){.internal-link target=_blank}を作成するセクションに従った場合、`Dockerfile`は次のようになります: ```Dockerfile hl_lines="7" FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9 COPY ./requirements.txt /app/requirements.txt
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docs/de/docs/tutorial/bigger-applications.md
```Python hl_lines="1 3" title="app/routers/users.py" {!../../../docs_src/bigger_applications/app/routers/users.py!} ``` ### *Pfadoperationen* mit `APIRouter` Und dann verwenden Sie ihn, um Ihre *Pfadoperationen* zu deklarieren. Verwenden Sie ihn auf die gleiche Weise wie die Klasse `FastAPI`: ```Python hl_lines="6 11 16" title="app/routers/users.py" {!../../../docs_src/bigger_applications/app/routers/users.py!} ```
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docs/em/docs/tutorial/bigger-applications.md
```Python hl_lines="1 3" title="app/routers/users.py" {!../../../docs_src/bigger_applications/app/routers/users.py!} ``` ### *➡ 🛠️* ⏮️ `APIRouter` & ⤴️ 👆 ⚙️ ⚫️ 📣 👆 *➡ 🛠️*. ⚙️ ⚫️ 🎏 🌌 👆 🔜 ⚙️ `FastAPI` 🎓: ```Python hl_lines="6 11 16" title="app/routers/users.py" {!../../../docs_src/bigger_applications/app/routers/users.py!} ``` 👆 💪 💭 `APIRouter` "🐩 `FastAPI`" 🎓.
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docs/en/docs/async.md
* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time. * **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.
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docs_src/bigger_applications/app_an/main.py
prefix="/admin", tags=["admin"], dependencies=[Depends(get_token_header)], responses={418: {"description": "I'm a teapot"}}, ) @app.get("/") async def root():
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docs/en/docs/advanced/async-tests.md
## Example For a simple example, let's consider a file structure similar to the one described in [Bigger Applications](../tutorial/bigger-applications.md){.internal-link target=_blank} and [Testing](../tutorial/testing.md){.internal-link target=_blank}: ``` . ├── app │ ├── __init__.py │ ├── main.py │ └── test_main.py ```
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