some javadoc comment improvements

PR: 31350
Submitted by: Paul Elschot


git-svn-id: https://svn.apache.org/repos/asf/lucene/java/trunk@150590 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Daniel Naber 2004-10-10 18:43:18 +00:00
parent 38fb6ab76d
commit cc7490d251
6 changed files with 27 additions and 19 deletions

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@ -246,8 +246,9 @@ public final class Field implements Serializable {
return f;
}
/** The name of the field (e.g., "date", "title", "body", ...)
as an interned string. */
/** Returns the name of the field as an interned string.
* For example "date", "title", "body", ...
*/
public String name() { return name; }
/** The value of the field as a String, or null. If null, the Reader value

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@ -496,7 +496,7 @@ public class QueryParser {
/**
* Returns a String where those characters that QueryParser
* expects to be escaped are escaped, i.e. preceded by a <code>\</code>.
* expects to be escaped are escaped by a preceding <code>\</code>.
*/
public static String escape(String s) {
StringBuffer sb = new StringBuffer();

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@ -86,7 +86,7 @@ public final class FuzzyQuery extends MultiTermQuery {
}
/**
* Returns the prefix length, i.e. the number of characters at the start
* Returns the non-fuzzy prefix length. This is the number of characters at the start
* of a term that must be identical (not fuzzy) to the query term if the query
* is to match that term.
*/

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@ -19,9 +19,9 @@ package org.apache.lucene.search;
import java.io.IOException;
/** Expert: Common scoring functionality for different types of queries.
* <br>A <code>Scorer</code> iterates over all documents matching a query,
* <br>A <code>Scorer</code> either iterates over documents matching a query,
* or provides an explanation of the score for a query for a given document.
* <br>Scores are computed using a given <code>Similarity</code> implementation.
* <br>Document scores are computed using a given <code>Similarity</code> implementation.
*/
public abstract class Scorer {
private Similarity similarity;
@ -41,6 +41,7 @@ public abstract class Scorer {
/** Scores and collects all matching documents.
* @param hc The collector to which all matching documents are passed through
* {@link HitCollector#collect(int, float)}.
* <br>When this method is used the {@link #explain(int)} method should not be used.
*/
public void score(HitCollector hc) throws IOException {
while (next()) {
@ -67,6 +68,7 @@ public abstract class Scorer {
/** Advances to the next document matching the query.
* @return true iff there is another document matching the query.
* <br>When this method is used the {@link #explain(int)} method should not be used.
*/
public abstract boolean next() throws IOException;
@ -82,6 +84,7 @@ public abstract class Scorer {
/** Skips to the first match beyond the current whose document number is
* greater than or equal to a given target.
* <br>When this method is used the {@link #explain(int)} method should not be used.
* @param target The target document number.
* @return true iff there is such a match.
* <p>Behaves as if written: <pre>
@ -92,14 +95,13 @@ public abstract class Scorer {
* } while (target > doc());
* return true;
* }
* </pre>
* Most implementations are considerably more efficient than that.
* </pre>Most implementations are considerably more efficient than that.
*/
public abstract boolean skipTo(int target) throws IOException;
/** Returns an explanation of the score for a document.
* <br>When this method is used, the {@link #next()} method
* and the {@link #score(HitCollector)} method should not be used.
* <br>When this method is used, the {@link #next()}, {@link #skipTo(int)} and
* {@link #score(HitCollector)} methods should not be used.
* @param doc The document number for the explanation.
*/
public abstract Explanation explain(int doc) throws IOException;

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@ -99,7 +99,7 @@ public abstract class Similarity {
* @see #encodeNorm(float)
*/
public static float decodeNorm(byte b) {
return NORM_TABLE[b & 0xFF];
return NORM_TABLE[b & 0xFF]; // & 0xFF maps negative bytes to positive above 127
}
/** Returns a table for decoding normalization bytes.

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@ -21,13 +21,18 @@ import java.io.IOException;
import org.apache.lucene.index.IndexReader;
/** Expert: Calculate query weights and build query scorers.
*
* <p>A Weight is constructed by a query, given a Searcher ({@link
* Query#createWeight(Searcher)}). The {@link #sumOfSquaredWeights()} method
* is then called on the top-level query to compute the query normalization
* factor {@link Similarity#queryNorm(float)}. This factor is then passed to
* {@link #normalize(float)}. At this point the weighting is complete and a
* scorer may be constructed by calling {@link #scorer(IndexReader)}.
* <br>A <code>Weight</code> is used in the following way:
* <ol>
* <li>A <code>Weight</code> is constructed by a top-level query,
* given a <code>Searcher</code> ({@link Query#createWeight(Searcher)}).
* <li>The {@link #sumOfSquaredWeights()} method is called
* on the <code>Weight</code> to compute
* the query normalization factor {@link Similarity#queryNorm(float)}
* of the query clauses contained in the query.
* <li>The query normalization factor is passed to {@link #normalize(float)}.
* At this point the weighting is complete.
* <li>A <code>Scorer</code> is constructed by {@link #scorer(IndexReader)}.
* </ol>
*/
public interface Weight extends java.io.Serializable {
/** The query that this concerns. */