&(s=r,t=a):(null==s||r<s||d)&&(s=r,t=a,d&&(i=!0));l(e,t||a)}(e):n?va(e):r(t=(a=e)._i)?a._d=new Date(M.now()):d(t)?a._d=new Date(t.valueOf()):"string"==typeof t?function(e){var a=ya.exec(e._i);null===a?(ka(e),!1===e._isValid&&(delete e._isValid,Ta(e),!1===e._isValid&&(delete e._isValid,e._strict?e._isValid=!1:M.createFromInputFallback(e)))):e._d=new Date(+a[1])}(a):i(t)?(a._a=u(t.slice(0),function(e){return parseInt(e,10)}),wa(a)):_(t)?function(e){var a,t;e._d||(t=void 0===(a=J(e._i)).day?a.date:...

### Bug or Regression

- Kube-scheduler now retries scheduling Pods rejected by the PodTopologySpread plugin when related Pods are created, deleted, updated, or when a node matches the specified topologyKey. ([#122195](https://github.com/kubernetes/kubernetes/pull/122195),...

### Bug or Regression

		}
	}

	// Remove functions only used as expressions, so their respective
	// bridge functions are not generated.
	for name, used := range functions {
		if !used {
			delete(f.Name, name)
		}
	}
}

// rewriteName returns the expression used to rewrite a reference.
// If addPosition is true, add position info in the ident name.

<p>
The built-in function <code>delete</code> removes the element with key
<code>k</code> from a <a href="#Map_types">map</a> <code>m</code>. The
value <code>k</code> must be <a href="#Assignability">assignable</a>
to the key type of <code>m</code>.
</p>

<pre class="grammar">
delete(m, k)  // remove element m[k] from map m
</pre>

<p>

### Bug or Regression

.hide())},e._isWithActiveTrigger=function(){for(var t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1},e._getConfig=function(t){var e=o.default(this.element).data();return Object.keys(e).forEach((function(t){-1!==Pt.indexOf(t)&&delete e[t]})),"number"==typeof(t=r({},this.constructor.Default,e,"object"==typeof t&&t?t:{})).delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString(...

  for (int64_t i = 0; i < num_dims; ++i) {
    num_elements *= dims[i];
  }
  TF_Tensor* t = TF_AllocateTensor(TF_STRING, dims, num_dims,
                                   sizeof(TF_TString) * num_elements);
  delete[] dims;

  TF_TString* data = static_cast<TF_TString*>(TF_TensorData(t));
  for (int i = 0; i < batch_size; ++i) {
    TF_TString_Init(&data[i]);

- `kube-proxy` will...