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package org.apache.lucene.document;
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* Copyright 2006 The Apache Software Foundation
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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import org.apache.lucene.search.PhraseQuery; // for javadocs
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import org.apache.lucene.search.spans.SpanQuery; // for javadocs
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import org.apache.lucene.analysis.TokenStream;
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import org.apache.lucene.index.FieldInvertState;
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import org.apache.lucene.util.StringHelper; // for javadocs
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import org.apache.lucene.index.FieldInfo.IndexOptions;
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import org.apache.lucene.index.FieldInvertState; // for javadocs
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public abstract class AbstractField implements Fieldable {
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protected String name = "body";
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protected boolean storeTermVector = false;
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protected boolean storeOffsetWithTermVector = false;
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protected boolean storePositionWithTermVector = false;
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protected boolean omitNorms = false;
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protected boolean isStored = false;
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protected boolean isIndexed = true;
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protected boolean isTokenized = true;
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protected boolean isBinary = false;
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protected boolean lazy = false;
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protected IndexOptions indexOptions = IndexOptions.DOCS_AND_FREQS_AND_POSITIONS;
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protected float boost = 1.0f;
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// the data object for all different kind of field values
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protected Object fieldsData = null;
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// pre-analyzed tokenStream for indexed fields
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protected TokenStream tokenStream;
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// length/offset for all primitive types
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protected int binaryLength;
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protected int binaryOffset;
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protected AbstractField()
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protected AbstractField(String name, Field.Store store, Field.Index index, Field.TermVector termVector) {
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throw new NullPointerException("name cannot be null");
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this.name = StringHelper.intern(name); // field names are interned
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this.isStored = store.isStored();
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this.isIndexed = index.isIndexed();
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this.isTokenized = index.isAnalyzed();
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this.omitNorms = index.omitNorms();
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this.isBinary = false;
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setStoreTermVector(termVector);
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/** Sets the boost factor hits on this field. This value will be
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* multiplied into the score of all hits on this this field of this
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* <p>The boost is multiplied by {@link org.apache.lucene.document.Document#getBoost()} of the document
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* containing this field. If a document has multiple fields with the same
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* name, all such values are multiplied together. This product is then
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* used to compute the norm factor for the field. By
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* default, in the {@link
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* org.apache.lucene.search.Similarity#computeNorm(String,
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* FieldInvertState)} method, the boost value is multiplied
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* org.apache.lucene.search.Similarity#lengthNorm(String,
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* rounded by {@link org.apache.lucene.search.Similarity#encodeNormValue(float)} before it is stored in the
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* index. One should attempt to ensure that this product does not overflow
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* the range of that encoding.
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* @see org.apache.lucene.document.Document#setBoost(float)
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* @see org.apache.lucene.search.Similarity#computeNorm(String, FieldInvertState)
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* @see org.apache.lucene.search.Similarity#encodeNormValue(float)
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public void setBoost(float boost) {
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/** Returns the boost factor for hits for this field.
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* <p>The default value is 1.0.
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* <p>Note: this value is not stored directly with the document in the index.
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* Documents returned from {@link org.apache.lucene.index.IndexReader#document(int)} and
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* {@link org.apache.lucene.search.Searcher#doc(int)} may thus not have the same value present as when
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* this field was indexed.
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* @see #setBoost(float)
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public float getBoost() {
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/** Returns the name of the field as an interned string.
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* For example "date", "title", "body", ...
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public String name() { return name; }
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protected void setStoreTermVector(Field.TermVector termVector) {
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this.storeTermVector = termVector.isStored();
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this.storePositionWithTermVector = termVector.withPositions();
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this.storeOffsetWithTermVector = termVector.withOffsets();
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/** True iff the value of the field is to be stored in the index for return
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with search hits. It is an error for this to be true if a field is
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public final boolean isStored() { return isStored; }
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/** True iff the value of the field is to be indexed, so that it may be
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public final boolean isIndexed() { return isIndexed; }
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/** True iff the value of the field should be tokenized as text prior to
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indexing. Un-tokenized fields are indexed as a single word and may not be
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public final boolean isTokenized() { return isTokenized; }
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/** True iff the term or terms used to index this field are stored as a term
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* vector, available from {@link org.apache.lucene.index.IndexReader#getTermFreqVector(int,String)}.
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* These methods do not provide access to the original content of the field,
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* only to terms used to index it. If the original content must be
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* preserved, use the <code>stored</code> attribute instead.
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* @see org.apache.lucene.index.IndexReader#getTermFreqVector(int, String)
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public final boolean isTermVectorStored() { return storeTermVector; }
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* True iff terms are stored as term vector together with their offsets
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* (start and end position in source text).
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public boolean isStoreOffsetWithTermVector(){
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return storeOffsetWithTermVector;
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* True iff terms are stored as term vector together with their token positions.
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public boolean isStorePositionWithTermVector(){
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return storePositionWithTermVector;
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/** True iff the value of the filed is stored as binary */
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public final boolean isBinary() {
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* Return the raw byte[] for the binary field. Note that
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* you must also call {@link #getBinaryLength} and {@link
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* #getBinaryOffset} to know which range of bytes in this
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* returned array belong to the field.
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* @return reference to the Field value as byte[].
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public byte[] getBinaryValue() {
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return getBinaryValue(null);
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public byte[] getBinaryValue(byte[] result){
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if (isBinary || fieldsData instanceof byte[])
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return (byte[]) fieldsData;
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* Returns length of byte[] segment that is used as value, if Field is not binary
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* returned value is undefined
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* @return length of byte[] segment that represents this Field value
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public int getBinaryLength() {
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} else if (fieldsData instanceof byte[])
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return ((byte[]) fieldsData).length;
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* Returns offset into byte[] segment that is used as value, if Field is not binary
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* returned value is undefined
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* @return index of the first character in byte[] segment that represents this Field value
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public int getBinaryOffset() {
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/** True if norms are omitted for this indexed field */
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public boolean getOmitNorms() { return omitNorms; }
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/** @deprecated use {@link #getIndexOptions()} instead. */
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public boolean getOmitTermFreqAndPositions() { return indexOptions == IndexOptions.DOCS_ONLY; }
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/** @see #setIndexOptions */
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public IndexOptions getIndexOptions() { return indexOptions; }
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* If set, omit normalization factors associated with this indexed field.
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* This effectively disables indexing boosts and length normalization for this field.
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public void setOmitNorms(boolean omitNorms) { this.omitNorms=omitNorms; }
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/** @deprecated use {@link #setIndexOptions(FieldInfo.IndexOptions)} instead. */
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public void setOmitTermFreqAndPositions(boolean omitTermFreqAndPositions) {
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if (omitTermFreqAndPositions) {
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indexOptions = IndexOptions.DOCS_ONLY;
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indexOptions = IndexOptions.DOCS_AND_FREQS_AND_POSITIONS;
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* If set, omit term freq, and optionally also positions and payloads from
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* postings for this field.
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* <p><b>NOTE</b>: While this option reduces storage space
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* required in the index, it also means any query
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* requiring positional information, such as {@link
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* PhraseQuery} or {@link SpanQuery} subclasses will
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* silently fail to find results.
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public void setIndexOptions(IndexOptions indexOptions) { this.indexOptions=indexOptions; }
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public boolean isLazy() {
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/** Prints a Field for human consumption. */
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public final String toString() {
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StringBuilder result = new StringBuilder();
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result.append("stored");
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if (result.length() > 0)
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result.append("indexed");
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if (result.length() > 0)
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result.append("tokenized");
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if (storeTermVector) {
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if (result.length() > 0)
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result.append("termVector");
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if (storeOffsetWithTermVector) {
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if (result.length() > 0)
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result.append("termVectorOffsets");
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if (storePositionWithTermVector) {
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if (result.length() > 0)
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result.append("termVectorPosition");
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if (result.length() > 0)
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result.append("binary");
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result.append(",omitNorms");
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if (indexOptions != IndexOptions.DOCS_AND_FREQS_AND_POSITIONS) {
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result.append(",indexOptions=");
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result.append(indexOptions);
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result.append(",lazy");
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if (fieldsData != null && lazy == false) {
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result.append(fieldsData);
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return result.toString();