*   `Estimator.export_savedmodel` has been renamed to `export_saved_model`.
    *   When saving to SavedModel, Estimators will strip default op attributes.
        This is almost always the correct behavior, as it is more forwards
        compatible, but if you require that default attributes to be saved with
        the model, please use `tf.compat.v1.Estimator`.
    *   Feature Columns have been upgraded to be more Eager-friendly and to work

		}
		targetUser = lookupResult.NormDN
		opts.claims[ldapUser] = targetUser // username DN
		opts.claims[ldapActualUser] = lookupResult.ActualDN

		// Add LDAP attributes that were looked up into the claims.
		for attribKey, attribValue := range lookupResult.Attributes {
			opts.claims[ldapAttribPrefix+attribKey] = attribValue
		}

		// NOTE: if not using LDAP, then internal IDP or open ID is

	if err != nil {
		// We start off with '0' if we can read the attributes
		return 0
	}
	return binary.LittleEndian.Uint64(buf[:8])
}

func (s *xlStorage) getWriteAttribute() uint64 {
	attr := "user.total_writes"
	buf, err := xattr.LGet(s.formatFile, attr)
	if err != nil {
		// We start off with '0' if we can read the attributes
		return 0
	}

	return binary.LittleEndian.Uint64(buf[:8])
}

  * Stable version of Heapster which scales up to 1000 nodes: more metrics, reduced
latency, reduced cpu/memory consumption (~4mb per monitored node).
  * Pods now have a security context which allows users to specify:
     * attributes which apply to the whole pod:
        * User ID
        * Whether all containers should be non-root
        * Supplemental Groups
        * FSGroup - a special supplemental group
        * SELinux options

s)return s(t);const i=(new window.DOMParser).parseFromString(t,"text/html"),n=[].concat(...i.body.querySelectorAll("*"));for(const t of n){const s=t.nodeName.toLowerCase();if(!Object.keys(e).includes(s)){t.remove();continue}const i=[].concat(...t.attributes),n=[].concat(e["*"]||[],e[s]||[]);for(const e of i)pe(e,n)||t.removeAttribute(e.nodeName)}return i.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return v(t,[this])}_putElementInTemplate(t,e){if(...

		Code:           "InvalidRequest",
		Description:    "This copy request is illegal because it is trying to copy an object to itself without changing the object's metadata, storage class, website redirect location or encryption attributes.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidCopySource: {
		Code:           "InvalidArgument",
		Description:    "Copy Source must mention the source bucket and key: sourcebucket/sourcekey.",

idth","removeChild","_this11","uriAttrs","SAFE_URL_PATTERN","DATA_URL_PATTERN","sanitizeHtml","unsafeHtml","whiteList","sanitizeFn","createdDocument","DOMParser","parseFromString","whitelistKeys","keys","el","elName","nodeName","attributeList","attributes","whitelistedAttributes","concat","allowedAttributeList","attrName","nodeValue","regExp","attrRegex","allowedAttribute","innerHTML","BSCLS_PREFIX_REGEX","DISALLOWED_ATTRIBUTES","HOVER_STATE_SHOW","HOVER_STATE_OUT","TRIGGER_HOVER","TRIGGER_FOCUS...

 *  **OkHttp now does cookies.** We've replaced `java.net.CookieHandler` with
    a new interface, `CookieJar` and added our own `Cookie` model class. This
    new cookie follows the latest RFC and supports the same cookie attributes
    as modern web browsers.

 *  **Form and Multipart bodies are now modeled.** We've replaced the opaque
    `FormEncodingBuilder` with the more powerful `FormBody` and

  op->node.AddAttr(attr_name, attr_val);
  RecordMutation(graph, *op, "setting attribute");
}

void TF_ClearAttr(TF_Graph* graph, TF_Operation* op, const char* attr_name,
                  TF_Status* status) {
  using tensorflow::RecordMutation;
  mutex_lock l(graph->mu);
  op->node.ClearAttr(attr_name);
  RecordMutation(graph, *op, "clearing attribute");
}

void TF_SetFullType(TF_Graph* graph, TF_Operation* op,

(t,"text/html"),o=Object.keys(e),a=[].slice.call(i.body.querySelectorAll("*")),s=function(t,n){var i=a[t],s=i.nodeName.toLowerCase();if(-1===o.indexOf(i.nodeName.toLowerCase()))return i.parentNode.removeChild(i),"continue";var l=[].slice.call(i.attributes),r=[].concat(e["*"]||[],e[s]||[]);l.forEach((function(t){(function(t,e){var n=t.nodeName.toLowerCase();if(-1!==e.indexOf(n))return-1===St.indexOf(n)||Boolean(Nt.test(t.nodeValue)||Dt.test(t.nodeValue));for(var i=e.filter((function(t){return t instanceof...