each(function(){r.event.remove(this,a,c,b)})}});var za=/<(?!area|br|col|embed|hr|img|input|link|meta|param)(([a-z][^\/\0>\x20\t\r\n\f]*)[^>]*)\/>/gi,Aa=/<script|<style|<link/i,Ba=/checked\s*(?:[^=]|=\s*.checked.)/i,Ca=/^true\/(.*)/,Da=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function Ea(a,b){return B(a,"table")&&B(11!==b.nodeType?b:b.firstChild,"tr")?r(">tbody",a)[0]||a:a}function Fa(a){return a.type=(null!==a.getAttribute("type"))+"/"+a.type,a}function Ga(a){var b=Ca.exec(a.type);return b?a.t...

limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"

#include <algorithm>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <cstdlib>
#include <cstring>
#include <iterator>
#include <numeric>
#include <optional>
#include <string>
#include <vector>

0}});var ab=/<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi,bb=/<([\w:]+)/,cb=/<|&#?\w+;/,db=/<(?:script|style|link)/i,eb=/checked\s*(?:[^=]|=\s*.checked.)/i,fb=/^$|\/(?:java|ecma)script/i,gb=/^true\/(.*)/,hb=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g,ib={option:[1,"<select multiple='multiple'>","</select>"],thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody...

 e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){E.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!\[CDATA\[|\]\]>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&E(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,...

 e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){E.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!\[CDATA\[|\]\]>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&E(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,...

==============================================================================*/

// This file implements logic for lowering TensorFlow dialect to XLA dialect.
#include <algorithm>
#include <cctype>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <iterator>
#include <limits>
#include <numeric>
#include <optional>
#include <string>
#include <utility>
#include <vector>

#include "llvm/ADT/ArrayRef.h"

							Format:      "byte",
						},
					},
					"caData": {
						VendorExtensible: spec.VendorExtensible{
							Extensions: spec.Extensions{
								"x-kubernetes-list-type": "atomic",
							},
						},
						SchemaProps: spec.SchemaProps{
							Description: "CAData holds PEM-encoded bytes (typically read from a root certificates bundle). CAData takes precedence over CAFile",