/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
package org.apache.uima.tools.cfe;
import java.io.IOException;
import java.util.Collection;
import java.util.HashSet;
import org.apache.uima.tools.cfe.support.EnumeratedEntryDictionary;
public class EnumFeatureValues extends CollectionFeatureValues<String>
{
final public PrimitiveFeatureTransformer m_value_transformer;
public EnumFeatureValues (Collection<String> values, boolean case_sensitive)
{
this((String[])values.toArray(null), case_sensitive);
}
public EnumFeatureValues (Object[] values, boolean case_sensitive)
{
super(new HashSet<String>());
m_value_transformer = new PrimitiveFeatureTransformer(case_sensitive);
if (null != values) {
// values contains strings; if not use converter
for (int i = 0; i < values.length; ++i) {
m_values.add(getValueNormalizer().normalize(values[i].toString()));
}
}
}
public EnumFeatureValues (String path, boolean case_sensitive) throws IOException
{
super(null);
m_value_transformer = new PrimitiveFeatureTransformer(case_sensitive);
EnumeratedEntryDictionary fd = new EnumeratedEntryDictionary("enum feature values", path, getValueNormalizer());
fd.load();
m_values = fd.values();
}
public EnumFeatureValues ()
{
this((Object[])null, false);
}
public FeatureValueNormalizer getValueNormalizer ()
{
return m_value_transformer;
}
public FeatureValueConverter getValueConverter ()
{
return m_value_transformer;
}
public String getFeatureImage (Object feature)
{
return m_value_transformer.getValue(feature);
}
public boolean matches (Object feature)
{
if (m_values.isEmpty()) {
return true;
}
return m_values.contains(getFeatureImage(feature));
}
}