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docs/ko/docs/deployment/server-workers.md
```console $ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4 <font color="#A6E22E">INFO</font>: Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit) <font color="#A6E22E">INFO</font>: Started parent process [<font color="#A1EFE4"><b>27365</b></font>] <font color="#A6E22E">INFO</font>: Started server process [<font color="#A1EFE4">27368</font>] <font color="#A6E22E">INFO</font>: Waiting for application startup.
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docs/en/docs/tutorial/bigger-applications.md
``` that would mean: * Starting in the same package that this module (the file `app/routers/items.py`) lives in (the directory `app/routers/`)... * go to the parent package (the directory `app/`)... * then go to the parent of that package (there's no parent package, `app` is the top level 😱)... * and in there, find the module `dependencies` (the file at `app/dependencies.py`)... * and from it, import the function `get_token_header`.
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.github/actions/notify-translations/app/main.py
import httpx from github import Github from pydantic import BaseModel, BaseSettings, SecretStr awaiting_label = "awaiting-review" lang_all_label = "lang-all" approved_label = "approved-2" translations_path = Path(__file__).parent / "translations.yml" github_graphql_url = "https://api.github.com/graphql" questions_translations_category_id = "DIC_kwDOCZduT84CT5P9" all_discussions_query = """ query Q($category_id: ID) {
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Wed Sep 27 23:01:46 GMT 2023 - 12.4K bytes - Viewed (0) -
docs/hu/docs/index.md
INFO: Application startup complete. ``` </div> <details markdown="1"> <summary>A parancsról <code>uvicorn main:app --reload</code>...</summary> A `uvicorn main:app` parancs a következőre utal: * `main`: fájl `main.py` (a Python "modul"). * `app`: a `main.py`-ban a `app = FastAPI()` sorral létrehozott objektum.
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docs/en/docs/release-notes.md
* 📝 Add external link: Serve a machine learning model using Sklearn, FastAPI and Docker. PR [#2974](https://github.com/tiangolo/fastapi/pull/2974) by [@rodrigo-arenas](https://github.com/rodrigo-arenas). * ✏️ Fix typo on docstring in datastructures file. PR [#2887](https://github.com/tiangolo/fastapi/pull/2887) by [@Kludex](https://github.com/Kludex).
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docs/em/docs/deployment/server-workers.md
```console $ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4 <font color="#A6E22E">INFO</font>: Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit) <font color="#A6E22E">INFO</font>: Started parent process [<font color="#A1EFE4"><b>27365</b></font>] <font color="#A6E22E">INFO</font>: Started server process [<font color="#A1EFE4">27368</font>] <font color="#A6E22E">INFO</font>: Waiting for application startup.
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docs/de/docs/deployment/server-workers.md
```console $ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4 <font color="#A6E22E">INFO</font>: Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit) <font color="#A6E22E">INFO</font>: Started parent process [<font color="#A1EFE4"><b>27365</b></font>] <font color="#A6E22E">INFO</font>: Started server process [<font color="#A1EFE4">27368</font>] <font color="#A6E22E">INFO</font>: Waiting for application startup.
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docs/zh/docs/deployment/server-workers.md
```console $ uvicorn main:app --host 0.0.0.0 --port 8080 --workers 4 <font color="#A6E22E">INFO</font>: Uvicorn running on <b>http://0.0.0.0:8080</b> (Press CTRL+C to quit) <font color="#A6E22E">INFO</font>: Started parent process [<font color="#A1EFE4"><b>27365</b></font>] <font color="#A6E22E">INFO</font>: Started server process [<font color="#A1EFE4">27368</font>] <font color="#A6E22E">INFO</font>: Waiting for application startup.
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docs/en/data/external_links.yml
link: https://www.azepug.az/posts/fastapi/#building-simple-e-commerce-with-nuxtjs-and-fastapi-series title: Building simple E-Commerce with NuxtJS and FastAPI - author: Rodrigo Arenas author_link: https://rodrigo-arenas.medium.com/ link: https://medium.com/analytics-vidhya/serve-a-machine-learning-model-using-sklearn-fastapi-and-docker-85aabf96729b title: "Serve a machine learning model using Sklearn, FastAPI and Docker"
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scripts/mkdocs_hooks.py
docs_dir_path = Path(docs_dir) missing_translation_path = docs_dir_path.parent.parent / "missing-translation.md" return missing_translation_path.read_text(encoding="utf-8") @lru_cache def get_mkdocs_material_langs() -> List[str]: material_path = Path(material.__file__).parent material_langs_path = material_path / "templates" / "partials" / "languages"
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