0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=Y.exec(n))&&i[1]&&(n=te(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(ce.cssNumber[s]?"":"px")),le.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=F(t);return ze.test(t)||(t=Ze(s)),(a=ce.cssHooks[t]||ce.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Ge...

		}
		m, n, err := findDiskIndexByDiskID(format, format.Erasure.This)
		if err != nil {
			return s, err
		}
		diskID := format.Erasure.This
		if m != ep.SetIdx || n != ep.DiskIdx {
			storageLogOnceIf(context.Background(),
				fmt.Errorf("unexpected drive ordering on pool: %s: found drive at (set=%s, drive=%s), expected at (set=%s, drive=%s): %s(%s): %w",

* The garbage collector now cascades deletion properly when deleting an object with propagationPolicy="background". This resolves issue [#44046](https://github.com/kubernetes/kubernetes/issues/44046), so that when a deployment is deleted with propagationPolicy="background", the garbage collector ensures dependent pods are deleted as well. ([#44058](https://github.com/kubernetes/kubernetes/pull/44058), [@caesarxuchao](https://github.com/caesarxuchao))...

0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=Y.exec(n))&&i[1]&&(n=te(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(ce.cssNumber[s]?"":"px")),le.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=F(t);return ze.test(t)||(t=Ze(s)),(a=ce.cssHooks[t]||ce.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Ge...

0===c?g&&"get"in g&&void 0!==(e=g.get(a,!1,d))?e:i[b]:(f=typeof c,"string"===f&&(e=Bb.exec(c))&&(c=(e[1]+1)*e[2]+parseFloat(n.css(a,b)),f="number"),null!=c&&c===c&&("number"!==f||n.cssNumber[h]||(c+="px"),k.clearCloneStyle||""!==c||0!==b.indexOf("background")||(i[b]="inherit"),g&&"set"in g&&void 0===(c=g.set(a,c,d))||(i[b]=c)),void 0)}},css:function(a,b,c,d){var e,f,g,h=n.camelCase(b);return b=n.cssProps[h]||(n.cssProps[h]=Fb(a.style,h)),g=n.cssHooks[b]||n.cssHooks[h],g&&"get"in g&&(e=g.get(a,!0,c)),void...

--------------\n * Bootstrap (v4.6.2): tools/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst uriAttrs = [\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n]\n\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultWhitelist = {\n  // Global attributes allowed on any supplied element below.\n...

------------\n * Bootstrap (v4.4.1): tools/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst uriAttrs = [\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n]\n\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultWhitelist = {\n  // Global attributes allowed on any supplied element below.\n...

- Add foreground cascading deletion to kubectl with the new `kubectl delete foreground|background|orphan` option. ([#93384](https://github.com/kubernetes/kubernetes/pull/93384), [@zhouya0](https://github.com/zhouya0))

context is used for timeout and cancellation signaling and to pass supplementary information to round trippers in the wrapped transport chain. If you don't need any of this functionality, it is sufficient to pass a context created with `context.Background()` to these functions. The `(*"k8s.io/client-go/rest".Request).Context` method is removed now that all methods that execute a request accept a context directly. ([#87597](https://github.com/kubernetes/kubernetes/pull/87597), [@mikedanese](https...

    *   Added `ignore_class` argument in the loss
        `SparseCategoricalCrossentropy` and metrics `IoU` and `MeanIoU`, to
        specify a class index to be ignored during loss/metric computation (e.g.
        a background/void class).
    *   Added
        [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).