}
    }


    SmbFileHandleImpl openUnshared ( int flags, int access, int sharing, int attrs, int options ) throws CIFSException {
        return openUnshared(getUncPath(), flags, access, sharing, attrs, options);
    }


    SmbFileHandleImpl openUnshared ( String uncPath, int flags, int access, int sharing, int attrs, int options ) throws CIFSException {
        SmbFileHandleImpl fh = null;

            final Attributes attrs = srcrslt.getAttributes();

            //get group attr
            final Attribute attr = attrs.get(fessConfig.getLdapMemberofAttribute());
            if (attr == null) {
                continue;
            }

            for (int i = 0; i < attr.size(); i++) {
                final Object attrValue = attr.get(i);
                if (attrValue != null) {

  ASSERT_EQ("VarHandleOp", name_and_attrs.name());
  ASSERT_EQ(tensorflow::DT_INT64,
            name_and_attrs.attr().find("dtype")->second.type());
  TF_DeleteBuffer(serialized_attr_values);

  TFE_Op* var_op_2 = TFE_NewOp(ctx, "VarHandleOp", status);

  string serialized_dtype;
  ASSERT_TRUE(name_and_attrs.attr().find("dtype")->second.SerializeToString(
      &serialized_dtype));
  TFE_OpSetAttrValueProto(

  ASSERT_EQ(func_->record->fdef().signature().attr().size(), 2);
  EXPECT_EQ(func_->record->fdef().signature().attr(0).name(), "v1");
  EXPECT_EQ(func_->record->fdef().signature().attr(0).type(), "int");
  EXPECT_EQ(func_->record->fdef().signature().attr(1).name(), "v2");
  EXPECT_EQ(func_->record->fdef().signature().attr(1).type(), "int");
}

                        break;
                    }
                }
                i++;
            }
            if (customRange) {
                if (this.showCustomRangeLabel) {
                    this.chosenLabel = this.container.find('.ranges li:last').addClass('active').attr('data-range-key');
                } else {

g=null,this._selector=null,this._offsets=null,this._targets=null,this._activeTarget=null,this._scrollHeight=null},t._getConfig=function(t){if("string"!=typeof(t=l({},_n,{},"object"==typeof t&&t?t:{})).target){var e=g(t.target).attr("id");e||(e=_.getUID(un),g(t.target).attr("id",e)),t.target="#"+e}return _.typeCheckConfig(un,t,mn),t},t._getScrollTop=function(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop},t._getScrollHeight=function(){return th...

// has registration:
//   REGISTER_OP("Concat")
//       .Input("concat_dim: int32")
//       .Input("values: N * T")
//       .Output("output: T")
//       .Attr("N: int >= 2")
//       .Attr("T: type");
// that defines two inputs, "concat_dim" and "values" (in that order).
// You must use TF_AddInput() for the first input (since it takes a

"]&&(!d||!d.test(t)))try{var n=i.call(e,t);if(n||le.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){h(t,!0)}return 0<I(t,T,null,[e]).length},I.contains=function(e,t){return(e.ownerDocument||e)!=T&&V(e),ce.contains(e,t)},I.attr=function(e,t){(e.ownerDocument||e)!=T&&V(e);var n=b.attrHandle[t.toLowerCase()],r=n&&ue.call(b.attrHandle,t.toLowerCase())?n(e,t,!C):void 0;return void 0!==r?r:e.getAttribute(t)},I.error=function(e){throw new Error("Syntax error, unrecognized expression:...

func (s *xlStorage) getDeleteAttribute() uint64 {
	attr := "user.total_deletes"
	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])
}

func (s *xlStorage) getWriteAttribute() uint64 {
	attr := "user.total_writes"
	buf, err := xattr.LGet(s.formatFile, attr)
	if err != nil {

  }

  void SetViaProto(TF_OperationDescription* desc,
                   const std::vector<string>& list) {
    tensorflow::AttrValue attr;
    for (const string& v : list) {
      attr.mutable_list()->add_s(v);
    }
    string bytes;
    attr.SerializeToString(&bytes);
    TF_SetAttrValueProto(desc, tensorflow::kColocationAttrName, bytes.data(),
                         bytes.size(), s_);