var(--bs-icon-link-transform, translate3d(0.25em, 0, 0));\n}\n\n.ratio {\n  position: relative;\n  width: 100%;\n}\n.ratio::before {\n  display: block;\n  padding-top: var(--bs-aspect-ratio);\n  content: \"\";\n}\n.ratio > * {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n}\n\n.ratio-1x1 {\n  --bs-aspect-ratio: 100%;\n}\n\n.ratio-4x3 {\n  --bs-aspect-ratio: 75%;\n}\n\n.ratio-16x9 {\n  --bs-aspect-ratio: 56.25%;\n}\n\n.ratio-21x9 {\n  --bs-aspect-ratio: 42.8571428571%;\n}\n\n.fixed-top...

&d.a, out, buf) } else { // We have "buffered" output still to copy. if d.n < d.rate { x := copy(out, d.a[d.n:d.rate]) d.n += x out = out[x:] } if len(out) == 0 { return } klmd(d.function()|nopad, &d.a, out, nil) } if len(out)%d.rate == 0 { // The final permutation was not performed, // so there is no "buffered" output. d.n = d.rate } else { d.n = len(out) % d.rate } return } func (d *Digest) function() code { switch d.rate { case rateK256: return shake_128 case rateK448: return sha3_224 case rateK512:...

*   Added warmup capabilities to `tf.keras.optimizers.schedules.CosineDecay` learning rate scheduler. You can now specify an initial and target learning rate, and our scheduler will perform a linear interpolation between the two after which it will begin a decay phase.

100%;\n    border: 0;\n  }\n}\n\n@each $embed-responsive-aspect-ratio in $embed-responsive-aspect-ratios {\n  $embed-responsive-aspect-ratio-x: nth($embed-responsive-aspect-ratio, 1);\n  $embed-responsive-aspect-ratio-y: nth($embed-responsive-aspect-ratio, 2);\n\n  .embed-responsive-#{$embed-responsive-aspect-ratio-x}by#{$embed-responsive-aspect-ratio-y} {\n    &::before {\n      padding-top: percentage(divide($embed-responsive-aspect-ratio-y, $embed-responsive-aspect-ratio-x));\n    }\n  }\n}\n","//...

   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**

     */
    Integer getThumbnailHtmlImageMinHeightAsInteger();

    /**
     * Get the value for the key 'thumbnail.html.image.max.aspect.ratio'. <br>
     * The value is, e.g. 3.0 <br>
     * comment: Maximum aspect ratio for HTML images in thumbnails.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */

":return e+"er";default:case"M":case"Q":case"DDD":case"d":case"w":case"W":return e}},week:{dow:0,doy:3},meridiemParse:/rati|sokallim|donparam|sanje/,meridiemHour:function(e,a){return 12===e&&(e=0),"rati"===a?e<4?e:e+12:"sokallim"===a?e:"donparam"===a?12<e?e:e+12:"sanje"===a?e+12:void 0},meridiem:function(e,a,t){return e<4?"rati":e<12?"sokallim":e<16?"donparam":e<20?"sanje":"rati"}});var Ln={1:"\u0ae7",2:"\u0ae8",3:"\u0ae9",4:"\u0aea",5:"\u0aeb",6:"\u0aec",7:"\u0aed",8:"\u0aee",9:"\u0aef",0:"\u0a...

- Apiserver `/healthz/etcd` endpoint rate limits the number of forwarded health check requests to the etcd backends, answering with the last known state if the rate limit is exceeded. The rate limit is based on 1/2 of the timeout configured, with no burst allowed. ([#112046](https://github.com/kubernetes/kubernetes/pull/112046), [@aojea](https://github.com/aojea))...

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          "type":       "stop",