/*
* Copyright 2016 IBM Corp.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
(function () {
//var JavaWrapper = require(EclairJS_Globals.NAMESPACE + '/JavaWrapper');
//var Logger = require(EclairJS_Globals.NAMESPACE + '/Logger');
//var Vector = require(EclairJS_Globals.NAMESPACE + '/mllib/linalg/Vector');
/**
* A dense vector represented by a value array.
* @classdesc
*/
/**
* @param {number[]} values
* @class DenseVector
* @memberof module:eclairjs/mllib/linalg
* @extends module:eclairjs/mllib/linalg.Vector
*/
var DenseVector = Java.type('org.eclairjs.nashorn.wrap.mllib.linalg.DenseVector');
//var DenseVector = function (arg) {
// this.logger = Logger.getLogger("DenseVector_js");
// var jvmObj;
// if (Array.isArray(arg)) {
// jvmObj = new org.apache.spark.mllib.linalg.DenseVector(arg);
// } else {
// jvmObj = arg;
// }
// Vector.call(this, jvmObj);
//
//};
//
//DenseVector.prototype = Object.create(Vector.prototype);
//
//DenseVector.prototype.constructor = DenseVector;
/**
* @function
* @name module:eclairjs/mllib/linalg.DenseVector#values
* @returns {number[]}
*/
//DenseVector.unapply = function (dv) {
// var dv_uw = Utils.unwrapObject(dv);
// return org.apache.spark.mllib.linalg.DenseVector.unapply(dv_uw);
//};
module.exports = DenseVector;
})();