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    1   package org.apache.lucene.document;
    2   /**
    3    * Copyright 2006 The Apache Software Foundation
    4    *
    5    * Licensed under the Apache License, Version 2.0 (the "License");
    6    * you may not use this file except in compliance with the License.
    7    * You may obtain a copy of the License at
    8    *
    9    *     http://www.apache.org/licenses/LICENSE-2.0
   10    *
   11    * Unless required by applicable law or agreed to in writing, software
   12    * distributed under the License is distributed on an "AS IS" BASIS,
   13    * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   14    * See the License for the specific language governing permissions and
   15    * limitations under the License.
   16    */
   17   
   18   
   19   /**
   20    *
   21    *
   22    **/
   23   public abstract class AbstractField implements Fieldable {
   24   
   25     protected String name = "body";
   26     protected boolean storeTermVector = false;
   27     protected boolean storeOffsetWithTermVector = false;
   28     protected boolean storePositionWithTermVector = false;
   29     protected boolean omitNorms = false;
   30     protected boolean isStored = false;
   31     protected boolean isIndexed = true;
   32     protected boolean isTokenized = true;
   33     protected boolean isBinary = false;
   34     protected boolean isCompressed = false;
   35     protected boolean lazy = false;
   36     protected float boost = 1.0f;
   37     // the one and only data object for all different kind of field values
   38     protected Object fieldsData = null;
   39   
   40     protected AbstractField()
   41     {
   42       
   43     }
   44   
   45     protected AbstractField(String name, Field.Store store, Field.Index index, Field.TermVector termVector) {
   46       if (name == null)
   47         throw new NullPointerException("name cannot be null");
   48       this.name = name.intern();        // field names are interned
   49   
   50       if (store == Field.Store.YES){
   51         this.isStored = true;
   52         this.isCompressed = false;
   53       }
   54       else if (store == Field.Store.COMPRESS) {
   55         this.isStored = true;
   56         this.isCompressed = true;
   57       }
   58       else if (store == Field.Store.NO){
   59         this.isStored = false;
   60         this.isCompressed = false;
   61       }
   62       else
   63         throw new IllegalArgumentException("unknown store parameter " + store);
   64   
   65       if (index == Field.Index.NO) {
   66         this.isIndexed = false;
   67         this.isTokenized = false;
   68       } else if (index == Field.Index.TOKENIZED) {
   69         this.isIndexed = true;
   70         this.isTokenized = true;
   71       } else if (index == Field.Index.UN_TOKENIZED) {
   72         this.isIndexed = true;
   73         this.isTokenized = false;
   74       } else if (index == Field.Index.NO_NORMS) {
   75         this.isIndexed = true;
   76         this.isTokenized = false;
   77         this.omitNorms = true;
   78       } else {
   79         throw new IllegalArgumentException("unknown index parameter " + index);
   80       }
   81   
   82       this.isBinary = false;
   83   
   84       setStoreTermVector(termVector);
   85     }
   86   
   87     /** Sets the boost factor hits on this field.  This value will be
   88      * multiplied into the score of all hits on this this field of this
   89      * document.
   90      *
   91      * <p>The boost is multiplied by {@link org.apache.lucene.document.Document#getBoost()} of the document
   92      * containing this field.  If a document has multiple fields with the same
   93      * name, all such values are multiplied together.  This product is then
   94      * multipled by the value {@link org.apache.lucene.search.Similarity#lengthNorm(String,int)}, and
   95      * rounded by {@link org.apache.lucene.search.Similarity#encodeNorm(float)} before it is stored in the
   96      * index.  One should attempt to ensure that this product does not overflow
   97      * the range of that encoding.
   98      *
   99      * @see org.apache.lucene.document.Document#setBoost(float)
  100      * @see org.apache.lucene.search.Similarity#lengthNorm(String, int)
  101      * @see org.apache.lucene.search.Similarity#encodeNorm(float)
  102      */
  103     public void setBoost(float boost) {
  104       this.boost = boost;
  105     }
  106   
  107     /** Returns the boost factor for hits for this field.
  108      *
  109      * <p>The default value is 1.0.
  110      *
  111      * <p>Note: this value is not stored directly with the document in the index.
  112      * Documents returned from {@link org.apache.lucene.index.IndexReader#document(int)} and
  113      * {@link org.apache.lucene.search.Hits#doc(int)} may thus not have the same value present as when
  114      * this field was indexed.
  115      *
  116      * @see #setBoost(float)
  117      */
  118     public float getBoost() {
  119       return boost;
  120     }
  121   
  122     /** Returns the name of the field as an interned string.
  123      * For example "date", "title", "body", ...
  124      */
  125     public String name()    { return name; }
  126   
  127     protected void setStoreTermVector(Field.TermVector termVector) {
  128       if (termVector == Field.TermVector.NO) {
  129         this.storeTermVector = false;
  130         this.storePositionWithTermVector = false;
  131         this.storeOffsetWithTermVector = false;
  132       }
  133       else if (termVector == Field.TermVector.YES) {
  134         this.storeTermVector = true;
  135         this.storePositionWithTermVector = false;
  136         this.storeOffsetWithTermVector = false;
  137       }
  138       else if (termVector == Field.TermVector.WITH_POSITIONS) {
  139         this.storeTermVector = true;
  140         this.storePositionWithTermVector = true;
  141         this.storeOffsetWithTermVector = false;
  142       }
  143       else if (termVector == Field.TermVector.WITH_OFFSETS) {
  144         this.storeTermVector = true;
  145         this.storePositionWithTermVector = false;
  146         this.storeOffsetWithTermVector = true;
  147       }
  148       else if (termVector == Field.TermVector.WITH_POSITIONS_OFFSETS) {
  149         this.storeTermVector = true;
  150         this.storePositionWithTermVector = true;
  151         this.storeOffsetWithTermVector = true;
  152       }
  153       else {
  154         throw new IllegalArgumentException("unknown termVector parameter " + termVector);
  155       }
  156     }
  157   
  158     /** True iff the value of the field is to be stored in the index for return
  159       with search hits.  It is an error for this to be true if a field is
  160       Reader-valued. */
  161     public final boolean  isStored()  { return isStored; }
  162   
  163     /** True iff the value of the field is to be indexed, so that it may be
  164       searched on. */
  165     public final boolean  isIndexed()   { return isIndexed; }
  166   
  167     /** True iff the value of the field should be tokenized as text prior to
  168       indexing.  Un-tokenized fields are indexed as a single word and may not be
  169       Reader-valued. */
  170     public final boolean  isTokenized()   { return isTokenized; }
  171   
  172     /** True if the value of the field is stored and compressed within the index */
  173     public final boolean  isCompressed()   { return isCompressed; }
  174   
  175     /** True iff the term or terms used to index this field are stored as a term
  176      *  vector, available from {@link org.apache.lucene.index.IndexReader#getTermFreqVector(int,String)}.
  177      *  These methods do not provide access to the original content of the field,
  178      *  only to terms used to index it. If the original content must be
  179      *  preserved, use the <code>stored</code> attribute instead.
  180      *
  181      * @see org.apache.lucene.index.IndexReader#getTermFreqVector(int, String)
  182      */
  183     public final boolean isTermVectorStored() { return storeTermVector; }
  184   
  185     /**
  186      * True iff terms are stored as term vector together with their offsets 
  187      * (start and end positon in source text).
  188      */
  189     public boolean isStoreOffsetWithTermVector(){
  190       return storeOffsetWithTermVector;
  191     }
  192   
  193     /**
  194      * True iff terms are stored as term vector together with their token positions.
  195      */
  196     public boolean isStorePositionWithTermVector(){
  197       return storePositionWithTermVector;
  198     }
  199   
  200     /** True iff the value of the filed is stored as binary */
  201     public final boolean  isBinary()      { return isBinary; }
  202   
  203     /** True if norms are omitted for this indexed field */
  204     public boolean getOmitNorms() { return omitNorms; }
  205   
  206     /** Expert:
  207      *
  208      * If set, omit normalization factors associated with this indexed field.
  209      * This effectively disables indexing boosts and length normalization for this field.
  210      */
  211     public void setOmitNorms(boolean omitNorms) { this.omitNorms=omitNorms; }
  212   
  213     public boolean isLazy() {
  214       return lazy;
  215     }
  216   
  217     /** Prints a Field for human consumption. */
  218     public final String toString() {
  219       StringBuffer result = new StringBuffer();
  220       if (isStored) {
  221         result.append("stored");
  222         if (isCompressed)
  223           result.append("/compressed");
  224         else
  225           result.append("/uncompressed");
  226       }
  227       if (isIndexed) {
  228         if (result.length() > 0)
  229           result.append(",");
  230         result.append("indexed");
  231       }
  232       if (isTokenized) {
  233         if (result.length() > 0)
  234           result.append(",");
  235         result.append("tokenized");
  236       }
  237       if (storeTermVector) {
  238         if (result.length() > 0)
  239           result.append(",");
  240         result.append("termVector");
  241       }
  242       if (storeOffsetWithTermVector) {
  243         if (result.length() > 0)
  244           result.append(",");
  245         result.append("termVectorOffsets");
  246       }
  247       if (storePositionWithTermVector) {
  248         if (result.length() > 0)
  249           result.append(",");
  250         result.append("termVectorPosition");
  251       }
  252       if (isBinary) {
  253         if (result.length() > 0)
  254           result.append(",");
  255         result.append("binary");
  256       }
  257       if (omitNorms) {
  258         result.append(",omitNorms");
  259       }
  260       if (lazy){
  261         result.append(",lazy");
  262       }
  263       result.append('<');
  264       result.append(name);
  265       result.append(':');
  266   
  267       if (fieldsData != null && lazy == false) {
  268         result.append(fieldsData);
  269       }
  270   
  271       result.append('>');
  272       return result.toString();
  273     }
  274   }

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