/**
* This software is licensed to you under the Apache License, Version 2.0 (the
* "Apache License").
*
* LinkedIn's contributions are made under the Apache License. If you contribute
* to the Software, the contributions will be deemed to have been made under the
* Apache License, unless you expressly indicate otherwise. Please do not make any
* contributions that would be inconsistent with the Apache License.
*
* You may obtain a copy of the Apache License at http://www.apache.org/licenses/LICENSE-2.0
* Unless required by applicable law or agreed to in writing, this software
* distributed under the Apache License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Apache
* License for the specific language governing permissions and limitations for the
* software governed under the Apache License.
*
* © 2012 LinkedIn Corp. All Rights Reserved.
*/
package com.senseidb.search.relevance.impl;
import com.browseengine.bobo.facets.data.MultiValueFacetDataCache;
import com.browseengine.bobo.facets.data.MultiValueWithWeightFacetDataCache;
import com.browseengine.bobo.facets.data.TermFloatList;
public class WeightedMFacetFloat extends MFacetFloat implements WeightedMFacet
{
public WeightedMFacetFloat(MultiValueFacetDataCache mDataCaches)
{
super(mDataCaches);
MultiValueWithWeightFacetDataCache wmDataCaches = (MultiValueWithWeightFacetDataCache) mDataCaches;
_weightArray = wmDataCaches._weightArray;
weightBuf = new int[1024];
}
@Override
public void refresh(int id)
{
_length = _nestedArray.getData(id, _buf);
_weightArray.getData(id, weightBuf);
}
public boolean hasWeight(float target){
for(int i=0; i< this._length; i++)
if(((TermFloatList) _mTermList).getPrimitiveValue(_buf[i]) == target)
{
_weight[0] = weightBuf[i];
return true;
}
return false;
}
@Override
public int getWeight()
{
return _weight[0];
}
public int getWeight(float target)
{
if(hasWeight(target))
return _weight[0];
else
return Integer.MIN_VALUE;
}
}