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

"crypto/internal/fips140/check" "crypto/internal/fips140/sha256" "errors" ) func init() { // Per IG 10.3.A: // "if the module implements an approved PBKDF (SP 800-132), the module // shall perform a CAST, at minimum, on the derivation of the Master // Key (MK) as specified in Section 5.3 of SP 800-132" // "The Iteration Count parameter does not need to be among those // supported by the module in the approved mode but shall be at least // two." fips140.CAST("PBKDF2", func() error { salt := []byte{ 0x0A,...

"crypto/internal/fips140/check" "crypto/internal/fips140/sha256" "errors" ) func init() { // Per IG 10.3.A: // "if the module implements an approved PBKDF (SP 800-132), the module // shall perform a CAST, at minimum, on the derivation of the Master // Key (MK) as specified in Section 5.3 of SP 800-132" // "The Iteration Count parameter does not need to be among those // supported by the module in the approved mode but shall be at least // two." fips140.CAST("PBKDF2", func() error { salt := []byte{ 0x0A,...

- 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]

* 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.