/*
 * 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.lucene.search.similarities;

import org.apache.lucene.search.Explanation;

F3EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen))
where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freq
gamma(docLen, queryLen) = (docLen-queryLen)*queryLen*s/avdl
NOTE: the gamma function of this similarity creates negative scores
@lucene.experimental
/**
 * F3EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen))
 * where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freq
 * gamma(docLen, queryLen) = (docLen-queryLen)*queryLen*s/avdl
 * NOTE: the gamma function of this similarity creates negative scores
 * @lucene.experimental
 */
public class AxiomaticF3LOG extends Axiomatic {

  
Constructor setting s and queryLen, letting k to default
Params:
s –        hyperparam for the growth function
queryLen – the query length/**
   * Constructor setting s and queryLen, letting k to default
   *
   * @param s        hyperparam for the growth function
   * @param queryLen the query length
   */
  public AxiomaticF3LOG(float s, int queryLen) {
    super(s, queryLen);
  }

  @Override
  public String toString() {
    return "F3LOG";
  }

  
compute the term frequency component
/**
   * compute the term frequency component
   */
  @Override
  protected double tf(BasicStats stats, double freq, double docLen) {
    freq += 1; // otherwise gives negative scores for freqs < 1
    return 1 + Math.log(1 + Math.log(freq));
  }

  
compute the document length component
/**
   * compute the document length component
   */
  @Override
  protected double ln(BasicStats stats, double freq, double docLen) {
    return 1.0;
  }

  
compute the mixed term frequency and document length component
/**
   * compute the mixed term frequency and document length component
   */
  @Override
  protected double tfln(BasicStats stats, double freq, double docLen) {
    return 1.0;
  }

  
compute the inverted document frequency component
/**
   * compute the inverted document frequency component
   */
  @Override
  protected double idf(BasicStats stats, double freq, double docLen) {
    return Math.log((stats.getNumberOfDocuments() + 1.0) / stats.getDocFreq());
  }

  
compute the gamma component
/**
   * compute the gamma component
   */
  @Override
  protected double gamma(BasicStats stats, double freq, double docLen) {
    return (docLen - this.queryLen) * this.s * this.queryLen / stats.getAvgFieldLength();
  }

  @Override
  protected Explanation tfExplain(BasicStats stats, double freq, double docLen){
    return Explanation.match((float) tf(stats, freq, docLen),
        "tf, term frequency computed as 1 + log(1 + log(freq)) from:",
        Explanation.match((float) freq,
            "freq, number of occurrences of term in the document"));
  };

  @Override
  protected Explanation lnExplain(BasicStats stats, double freq, double docLen){
    return Explanation.match((float) ln(stats, freq, docLen),
        "ln, document length, equals to 1");
  };

  protected Explanation tflnExplain(BasicStats stats, double freq, double docLen){
    return Explanation.match((float) tfln(stats, freq, docLen),
        "tfln, mixed term frequency and document length, equals to 1");
  };

  protected Explanation idfExplain(BasicStats stats, double freq, double docLen){
    return Explanation.match((float) idf(stats, freq, docLen),
        "idf, inverted document frequency computed as log((N + 1) / n) from:",
        Explanation.match((float) stats.getNumberOfDocuments(),
            "N, total number of documents with field"),
        Explanation.match((float) stats.getDocFreq(),
            "n, number of documents containing term"));
  };
}