* delete useless params containerized ([#56146](https://github.com/kubernetes/kubernetes/pull/56146), [@jiulongzaitian](https://github.com/jiulongzaitian))

* dockershim now makes an Image's Labels available in the Info field of ImageStatusResponse ([#58036](https://github.com/kubernetes/kubernetes/pull/58036), [@shlevy](https://github.com/shlevy))

     closely related to copyright including, without limitation,
     performance, broadcast, sound recording, and Sui Generis Database
     Rights, without regard to how the rights are labeled or
     categorized. For purposes of this Public License, the rights
     specified in Section 2(b)(1)-(2) are not Copyright and Similar
     Rights.

  d. Effective Technological Measures means those measures that, in the

* AWS: Allow cross-region image pulling with ECR ([#24369](https://github.com/kubernetes/kubernetes/pull/24369), [@therc](https://github.com/therc))
* Automatically add node labels beta.kubernetes.io/{os,arch} ([#23684](https://github.com/kubernetes/kubernetes/pull/23684), [@luxas](https://github.com/luxas))

	httpsScheme = "https"
)

// nopCharsetConverter is a dummy charset convert which just copies input to output,
// it is used to ignore custom encoding charset in S3 XML body.
func nopCharsetConverter(label string, input io.Reader) (io.Reader, error) {
	return input, nil
}

// xmlDecoder provide decoded value in xml.
func xmlDecoder(body io.Reader, v any, size int64) error {
	var lbody io.Reader
	if size > 0 {

ndc,ixetnod,oh&-spv:.citsalej.&cir,lta,sjn,?,gnik,???u&h,nyd,r,?ved-&anafarg,naissalta.dorp.ndc,?x&inuemoh,spym,tsale.&1ots-slj,2ots-slj,3ots-slj,?unilemoh,?y&a&p-csbus,wetag-llawerif,?ekegde,ffijduolc:.&ed-1arf,su-1tsew,?,ltsaf.&dorp.&a,labolg,?lss.&a,b,labolg,?pam,slteerf,?n&-morf,ofipi,?srab,?z&a-morf,tirfym,???p?tcip?v??f&ig?osorcim??g!.&bog?dni?gro?lim?moc?ten?ude???h!.&dem?gro?l&er?op??m&oc?rif??o&fni?rp?s&rep?sa???po&hs?oc??t&en?luda?r:a?,?ude?vuog???i!.&a&2n-loritds--nx?7e-etsoaellav--nx...

(this._config.title)),null!=this._config.subtitle&&t.append(n.default("<small />").html(this._config.subtitle)),1==this._config.close){var i=n.default('<button data-dismiss="toast" />').attr("type","button").addClass("ml-2 mb-1 close").attr("aria-label","Close").append('<span aria-hidden="true">&times;</span>');null==this._config.title&&i.toggleClass("ml-2 ml-auto"),t.append(i)}e.append(t),null!=this._config.body&&e.append(n.default('<div class="toast-body" />').html(this._config.body)),n.defaul...

        putResultDataBody(dataMap, Constants.INDEXING_TARGET, indexingTarget);
        //  boost
        putResultDataBody(dataMap, fessConfig.getIndexFieldBoost(), crawlingConfig.getDocumentBoost());
        // label: labelType
        putResultDataBody(dataMap, fessConfig.getIndexFieldLabel(), labelTypeHelper.getMatchedLabelValueSet(url));
        // role: roleType
        final List<String> roleTypeList = new ArrayList<>();

predictions), and force use of named args. * tf.nn.rnn_cell.* and most functions
in tf.nn.rnn.* (with the exception of dynamic_rnn and raw_rnn) are temporarily
in tf.contrib.rnn. They will be moved back into core for TF 1.2. *
`tf.nn.sampled_softmax_loss` and `tf.nn.nce_loss` have both changed their API
such that you need to switch the `inputs, labels` to `labels, inputs`

fe(e,"input")&&e.type===t}}function _(t){return function(e){return(fe(e,"input")||fe(e,"button"))&&e.type===t}}function z(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&R(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function X(a){return F(function(o){return o=+o,F(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function U(e){return...

    "minio"
  ],
  "templating": {
    "list": [
      {
        "current": {
          "selected": false,
          "text": "All",
          "value": "$__all"
        },
        "label": "Data source",
        "name": "DS_PROMETHEUS",
        "options": [],
        "query": "prometheus",
        "refresh": 1,
        "regex": "",
        "type": "datasource"
      },
      {