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docs/en/docs/release-notes.md
One of the **biggest benefits** is that now you can create `Annotated` dependencies that are then shared by multiple *path operation functions*, this will allow you to **reduce** a lot of **code duplication** in your codebase, while keeping all the support from editors and tools. For example, you could have code like this: ```Python def get_current_user(token: str): # authenticate user
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CHANGELOG/CHANGELOG-1.12.md
* Enable insertId generation, and update Stackdriver Logging Agent image to 0.5-1.5.36-1-k8s. This help reduce log duplication and guarantee log order. ([#68920](https://github.com/kubernetes/kubernetes/pull/68920), [@qingling128](https://github.com/qingling128))
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operator/cmd/mesh/testdata/manifest-generate/data-snapshot.tar.gz
started on common configurations: * https://istio.io/latest/docs/tasks/traffic-management * https://istio.io/latest/docs/tasks/security/ * https://istio.io/latest/docs/tasks/policy-enforcement/ * Review the list of actively supported releases, CVE publications and our hardening guide: * https://istio.io/latest/docs/releases/supported-releases/ * https://istio.io/latest/news/security/ * https://istio.io/latest/docs/ops/best-practices/security/ For further documentation see https://istio.io website {{-...
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CHANGELOG/CHANGELOG-1.11.md
* Fixes volume detach from shutdown nodes. * Enable insertId generation, and update Stackdriver Logging Agent image to 0.5-1.5.36-1-k8s. This help reduce log duplication and guarantee log order. ([#68920](https://github.com/kubernetes/kubernetes/pull/68920), [@qingling128](https://github.com/qingling128))
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RELEASE.md
like: * Easy model building with Keras and eager execution. * Robust model deployment in production on any platform. * Powerful experimentation for research. * API simplification by reducing duplication and removing deprecated endpoints. For details on best practices with 2.0, see [the Effective 2.0 guide](https://www.tensorflow.org/beta/guide/effective_tf2)
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