size.
*   TensorFlow 1.15 contains a complete implementation of the 2.0 API in its
    `compat.v2` module. It contains a copy of the 1.15 main module (without
    `contrib`) in the `compat.v1` module. TensorFlow 1.15 is able to emulate 2.0
    behavior using the `enable_v2_behavior()` function. This enables writing
    forward compatible code: by explicitly importing either

constant time // with respect to different non-zero values. for n != 0 { len++ n >>= 1 } return len } // Modulus is used for modular arithmetic, precomputing relevant constants. // // A Modulus can leak the exact number of bits needed to store its value // and is stored without padding. Its actual value is still kept secret. type Modulus struct { // The underlying natural number for this modulus. // // This will be stored without any padding, and shouldn't alias with any // other natural number being...

constant time // with respect to different non-zero values. for n != 0 { len++ n >>= 1 } return len } // Modulus is used for modular arithmetic, precomputing relevant constants. // // A Modulus can leak the exact number of bits needed to store its value // and is stored without padding. Its actual value is still kept secret. type Modulus struct { // The underlying natural number for this modulus. // // This will be stored without any padding, and shouldn't alias with any // other natural number being...

* Fix OpenAPI/JSON Schema generation for two functions with the same name (in different modules) with the same composite bodies.
    * Composite bodies' IDs are now based on path, not only on route name, as the auto-generated name uses the function names, that can be duplicated in different modules.
    * The same new ID generation applies to response models.
    * This also changes the generated title for those models.

- Avoid unnecessary scheduling churn when annotations are updated while Pods are being scheduled. ([#90373](https://github.com/kubernetes/kubernetes/pull/90373), [@fabiokung](https://github.com/fabiokung)) [SIG Scheduling]
- Azure auth module for kubectl now requests login after refresh token expires. ([#86481](https://github.com/kubernetes/kubernetes/pull/86481), [@tdihp](https://github.com/tdihp)) [SIG API Machinery and Auth]