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docs/en/docs/tutorial/extra-models.md
If it was in a type annotation we could have used the vertical bar, as: ```Python some_variable: PlaneItem | CarItem ``` But if we put that in the assignment `response_model=PlaneItem | CarItem` we would get an error, because Python would try to perform an **invalid operation** between `PlaneItem` and `CarItem` instead of interpreting that as a type annotation.
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 6.7K bytes - Click Count (0) -
docs/en/docs/tutorial/security/oauth2-jwt.md
``` </div> /// tip With `pwdlib`, you could even configure it to be able to read passwords created by **Django**, a **Flask** security plug-in or many others. So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 10.7K bytes - Click Count (0) -
docs/en/docs/advanced/openapi-webhooks.md
{* ../../docs_src/openapi_webhooks/tutorial001_py310.py hl[9:12,15:20] *} The webhooks that you define will end up in the **OpenAPI** schema and the automatic **docs UI**. /// info The `app.webhooks` object is actually just an `APIRouter`, the same type you would use when structuring your app with multiple files.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 2.9K bytes - Click Count (0) -
fastapi/security/oauth2.py
) class OAuth2(SecurityBase): """ This is the base class for OAuth2 authentication, an instance of it would be used as a dependency. All other OAuth2 classes inherit from it and customize it for each OAuth2 flow. You normally would not create a new class inheriting from it but use one of the existing subclasses, and maybe compose them if you want to support multiple flows.
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Tue Mar 24 16:32:10 GMT 2026 - 23.6K bytes - Click Count (0) -
docs/en/docs/how-to/graphql.md
Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**. Here's a small preview of how you could integrate Strawberry with FastAPI: {* ../../docs_src/graphql_/tutorial001_py310.py hl[3,22,25] *}Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 2.7K bytes - Click Count (0) -
docs/en/docs/advanced/events.md
You could load it at the top level of the module/file, but that would also mean that it would **load the model** even if you are just running a simple automated test, then that test would be **slow** because it would have to wait for the model to load before being able to run an independent part of the code.
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 7.8K bytes - Click Count (0) -
docs/en/docs/python-types.md
```Python hl_lines="1" {!> ../../docs_src/python_types/tutorial008b_py310.py!} ``` This means that `item` could be an `int` or a `str`. #### Possibly `None` { #possibly-none } You can declare that a value could have a type, like `str`, but that it could also be `None`. //// tab | Python 3.10+ ```Python hl_lines="1" {!> ../../docs_src/python_types/tutorial009_py310.py!} ```Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 11K bytes - Click Count (0) -
src/main/java/jcifs/internal/smb2/rdma/disni/DisniMemoryRegion.java
import jcifs.internal.smb2.rdma.RdmaMemoryRegion; /** * DiSNI memory region implementation. * * This class would integrate with DiSNI to provide registered * memory regions for high-performance RDMA operations. * * Note: This is a skeleton implementation. A real implementation would * require proper DiSNI integration with actual memory registration. */ public class DisniMemoryRegion extends RdmaMemoryRegion {Created: Sun Apr 05 00:10:12 GMT 2026 - Last Modified: Sat Aug 23 05:11:12 GMT 2025 - 5.3K bytes - Click Count (0) -
tests/test_compat.py
# For coverage # TODO: in theory this would allow declaring types that could be lists of bytes # to be read from files and other types, but I'm not even sure it's a good idea # to support it as a first class "feature" assert is_bytes_sequence_annotation(list[str] | list[bytes]) def test_is_uploadfile_sequence_annotation(): # For coverage # TODO: in theory this would allow declaring types that could be lists of UploadFileCreated: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Tue Feb 17 09:59:14 GMT 2026 - 4.2K bytes - Click Count (0) -
.github/ISSUE_TEMPLATE/feature_addition_request.yaml
Did you *actually* encounter the need for this feature in a real-world scenario, or is it just a feature that seems like a sensible addition to Guava? Before new features get added to Guava, we really want to be sure that it's for a use case that actually comes up in the real world. We want to hear the real-world use case so theCreated: Fri Apr 03 12:43:13 GMT 2026 - Last Modified: Fri Nov 17 18:47:47 GMT 2023 - 5.8K bytes - Click Count (0)