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docs/en/docs/help-fastapi.md
* Many PRs don't have tests, you can **remind** them to add tests, or you can even **suggest** some tests yourself. That's one of the things that consume most time and you can help a lot with that. * Then also comment what you tried, that way I'll know that you checked it. 🤓 ## Create a Pull Request
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CONTRIBUTING.md
- Revert the Git changes to files in the `.idea` folder NOTE: Due to the project size, the very first import can take a while and IntelliJ might become unresponsive for several seconds during this period.
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docs/en/docs/python-types.md
#### Union You can declare that a variable can be any of **several types**, for example, an `int` or a `str`. In Python 3.6 and above (including Python 3.10) you can use the `Union` type from `typing` and put inside the square brackets the possible types to accept.
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docs/en/docs/advanced/custom-response.md
You can return a `RedirectResponse` directly: ```Python hl_lines="2 9" {!../../../docs_src/custom_response/tutorial006.py!} ``` --- Or you can use it in the `response_class` parameter: ```Python hl_lines="2 7 9" {!../../../docs_src/custom_response/tutorial006b.py!} ```
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docs/en/docs/advanced/settings.md
// And then call the program again $ python main.py // Now it can read the environment variable Hello Wade Wilson from Python ``` </div> As environment variables can be set outside of the code, but can be read by the code, and don't have to be stored (committed to `git`) with the rest of the files, it's common to use them for configurations or settings.
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docs/en/docs/tutorial/response-model.md
# Response Model - Return Type You can declare the type used for the response by annotating the *path operation function* **return type**. You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc. === "Python 3.10+" ```Python hl_lines="16 21" {!> ../../../docs_src/response_model/tutorial001_01_py310.py!} ```
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cmd/bucket-object-lock.go
case objectlock.RetCompliance: // In compliance mode, a protected object version can't be overwritten // or deleted by any user, including the root user in your AWS account. // When an object is locked in compliance mode, its retention mode can't // be changed, and its retention period can't be shortened. Compliance mode // ensures that an object version can't be overwritten or deleted for the // duration of the retention period.
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docs/en/docs/tutorial/schema-extra-example.md
# Declare Request Example Data You can declare examples of the data your app can receive. Here are several ways to do it. ## Extra JSON Schema data in Pydantic models You can declare `examples` for a Pydantic model that will be added to the generated JSON Schema. === "Python 3.10+ Pydantic v2" ```Python hl_lines="13-24" {!> ../../../docs_src/schema_extra_example/tutorial001_py310.py!} ```
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docs/en/docs/tutorial/dependencies/index.md
Let's see a very simple example. It will be so simple that it is not very useful, for now. But this way we can focus on how the **Dependency Injection** system works. ### Create a dependency, or "dependable" Let's first focus on the dependency. It is just a function that can take all the same parameters that a *path operation function* can take: === "Python 3.10+" ```Python hl_lines="8-9"
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docs/en/docs/tutorial/dependencies/dependencies-with-yield.md
So, you can look for that specific exception inside the dependency with `except SomeException`. In the same way, you can use `finally` to make sure the exit steps are executed, no matter if there was an exception or not. ```Python hl_lines="3 5" {!../../../docs_src/dependencies/tutorial007.py!} ``` ## Sub-dependencies with `yield`
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