*   Promoting `tf.data.experimental.ThreadingOptions` API to
        `tf.data.ThreadingOptions` and deprecating the experimental endpoint.
    *   Promoting `tf.data.experimental.unique` API to `tf.data.Dataset.unique`
        and deprecating the experimental endpoint.
    *   Added `stop_on_empty_dataset` parameter to `sample_from_datasets` and
        `choose_from_datasets`. Setting `stop_on_empty_dataset=True` will stop

and key. func New[H hash.Hash](h func() H, key []byte) *HMAC { hm := &HMAC{keyLen: len(key)} hm.outer = h() hm.inner = h() unique := true func() { defer func() { // The comparison might panic if the underlying types are not comparable. _ = recover() }() if hm.outer == hm.inner { unique = false } }() if !unique { panic("crypto/hmac: hash generation function does not produce unique values") } blocksize := hm.inner.BlockSize() hm.ipad = make([]byte, blocksize) hm.opad = make([]byte, blocksize) if len(key)...

key. func New[H fips140.Hash](h func() H, key []byte) *HMAC { hm := &HMAC{keyLen: len(key)} hm.outer = h() hm.inner = h() unique := true func() { defer func() { // The comparison might panic if the underlying types are not comparable. _ = recover() }() if hm.outer == hm.inner { unique = false } }() if !unique { panic("crypto/hmac: hash generation function does not produce unique values") } blocksize := hm.inner.BlockSize() hm.ipad = make([]byte, blocksize) hm.opad = make([]byte, blocksize) if len(key)...