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docs/ru/docs/tutorial/dependencies/classes-as-dependencies.md
Aleksandr Andrukhov <******@****.***> 1705057939 +0300
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docs/ko/docs/tutorial/dependencies/classes-as-dependencies.md
Kani Kim <******@****.***> 1707659311 +0900
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docs/ja/docs/tutorial/dependencies/classes-as-dependencies.md
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docs/de/docs/tutorial/dependencies/classes-as-dependencies.md
Nils Lindemann <******@****.***> 1711821718 +0100
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
So, a Python class is also a **callable**. Then, in **FastAPI**, you could use a Python class as a dependency. What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined. If you pass a "callable" as a dependency in **FastAPI**, it will analyze the parameters for that "callable", and process them in the same way as the parameters for a *path operation function*. Including sub-dependencies.
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docs/em/docs/tutorial/dependencies/classes-as-dependencies.md
LeeeeT <******@****.***> 1680341164 +0300
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docs/zh/docs/tutorial/dependencies/classes-as-dependencies.md
Sebastián RamÃrez <******@****.***> 1697522351 +0400
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tests/test_response_model_as_return_annotation.py
def test_response_model_no_annotation_return_invalid_dict(): with pytest.raises(ResponseValidationError) as excinfo: client.get("/response_model-no_annotation-return_invalid_dict") assert "missing" in str(excinfo.value) def test_response_model_no_annotation_return_invalid_model(): with pytest.raises(ResponseValidationError) as excinfo: client.get("/response_model-no_annotation-return_invalid_model")
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docs/en/docs/img/deployment/https/https01.drawio
<mxGeometry relative="1" as="geometry"> <mxPoint x="105" y="-280" as="sourcePoint"/> <mxPoint x="390" y="-260" as="targetPoint"/> <Array as="points"> <mxPoint x="390" y="-430"/> </Array> </mxGeometry>
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common-protos/k8s.io/api/autoscaling/v2beta1/generated.proto
// resource metric across all relevant pods, represented as a percentage of // the requested value of the resource for the pods. // +optional optional int32 targetAverageUtilization = 2; // targetAverageValue is the target value of the average of the // resource metric across all relevant pods, as a raw value (instead of as // a percentage of the request), similar to the "pods" metric source type.
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