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docs/en/docs/contributing.md
<div class="termy"> ```console $ typer --install-completion zsh completion installed in /home/user/.bashrc. Completion will take effect once you restart the terminal. ``` </div> ### Docs Structure The documentation uses <a href="https://www.mkdocs.org/" class="external-link" target="_blank">MkDocs</a>. And there are extra tools/scripts in place to handle translations in `./scripts/docs.py`. !!! tip
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docs/en/docs/advanced/async-tests.md
The `TestClient` is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, and luckily, we can use it directly to test the API. ## 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
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docs/en/docs/how-to/custom-docs-ui-assets.md
### Project file structure Let's say your project file structure looks like this: ``` . ├── app │ ├── __init__.py │ ├── main.py ``` Now create a directory to store those static files. Your new file structure could look like this: ``` . ├── app │ ├── __init__.py │ ├── main.py └── static/ ```
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docs/en/docs/tutorial/dependencies/dependencies-in-path-operation-decorators.md
```Python hl_lines="9 14" {!> ../../../docs_src/dependencies/tutorial006.py!} ``` ## Dependencies for a group of *path operations*
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docs/en/docs/how-to/sql-databases-peewee.md
So, we are going to focus only on the differences. ## File structure Let's say you have a directory named `my_super_project` that contains a sub-directory called `sql_app` with a structure like this: ``` . └── sql_app ├── __init__.py ├── crud.py ├── database.py ├── main.py └── schemas.py ``` This is almost the same structure as we had for the SQLAlchemy tutorial.
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docs/en/docs/features.md
* Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data. * Validate **complex structures**: * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
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docs/en/docs/fastapi-cli.md
<font color="#3465A4">INFO </font> Resolved absolute path <font color="#75507B">/home/user/code/awesomeapp/</font><font color="#AD7FA8">main.py</font> <font color="#3465A4">INFO </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files <font color="#3465A4">INFO </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>
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docs/fr/docs/advanced/additional-status-codes.md
# Codes HTTP supplémentaires Par défaut, **FastAPI** renverra les réponses à l'aide d'une structure de données `JSONResponse`, en plaçant la réponse de votre *chemin d'accès* à l'intérieur de cette `JSONResponse`. Il utilisera le code HTTP par défaut ou celui que vous avez défini dans votre *chemin d'accès*. ## Codes HTTP supplémentaires
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docs/en/docs/tutorial/dependencies/index.md
```Python hl_lines="8-11" {!> ../../../docs_src/dependencies/tutorial001.py!} ``` That's it. **2 lines**. And it has the same shape and structure that all your *path operation functions* have. You can think of it as a *path operation function* without the "decorator" (without the `@app.get("/some-path")`). And it can return anything you want.
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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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