* Improvements and fixes in Keras loss masking:
    * Whether you represent a ragged tensor as a `tf.RaggedTensor` or using [keras masking](https://www.tensorflow.org/guide/keras/masking_and_padding), the returned loss values should be the identical to each other. In previous versions Keras may have silently ignored the mask.

nil { panic("ecdsa: internal error: truncated hash is too long") } } // rightShift implements the right shift necessary for bits2int, which takes the // leftmost bits of either the hash or HMAC_DRBG output. // // Note how taking the rightmost bits would have been as easy as masking the // first byte, but we can't have nice things. func rightShift(b []byte, shift int) []byte { if shift <= 0 || shift >= 8 { panic("ecdsa: internal error: shift can only be by 1 to 7 bits") } b = bytes.Clone(b) for i :=...

### Bug or Regression

- Aggregate errors when putting vmss ([#98350](https://github.com/kubernetes/kubernetes/pull/98350), [@nilo19](https://github.com/nilo19)) [SIG Cloud Provider]
- Avoid marking node as Ready until node has synced with API servers at least once ([#97996](https://github.com/kubernetes/kubernetes/pull/97996), [@ehashman](https://github.com/ehashman)) [SIG Node]

For example, instead of using the same database session, you would create a new database session inside of the background task, and you would obtain the objects from the database using this new session. And then instead of passing the object from the database as a parameter to the background task function, you would pass the ID of that object and then obtain the object again inside the background task function.