suballocatedintvector.java

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/* * Copyright 1999-2004 The Apache Software Foundation. * * Licensed 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. *//* * $Id: SuballocatedIntVector.java,v 1.3 2005/09/28 13:49:22 pvedula Exp $ */package com.sun.org.apache.xml.internal.utils;/** * A very simple table that stores a list of int. Very similar API to our * IntVector class (same API); different internal storage. *  * This version uses an array-of-arrays solution. Read/write access is thus * a bit slower than the simple IntVector, and basic storage is a trifle * higher due to the top-level array -- but appending is O(1) fast rather * than O(N**2) slow, which will swamp those costs in situations where * long vectors are being built up. *  * Known issues: *  * Some methods are private because they haven't yet been tested properly. * * Retrieval performance is critical, since this is used at the core * of the DTM model. (Append performance is almost as important.) * That's pushing me toward just letting reads from unset indices * throw exceptions or return stale data; safer behavior would have * performance costs. * */public class SuballocatedIntVector{  /** Size of blocks to allocate          */  protected int m_blocksize;  /** Bitwise addressing (much faster than div/remainder */  protected int m_SHIFT, m_MASK;    /** The default number of blocks to (over)allocate by */  protected static final int NUMBLOCKS_DEFAULT = 32;    /** The number of blocks to (over)allocate by */  protected int m_numblocks = NUMBLOCKS_DEFAULT;    /** Array of arrays of ints          */  protected int m_map[][];  /** Number of ints in array          */  protected int m_firstFree = 0;  /** "Shortcut" handle to m_map[0]. Surprisingly helpful for short vectors. */  protected int m_map0[];  /** "Shortcut" handle to most recently added row of m_map.   * Very helpful during construction.   * @xsl.usage internal   */  protected int m_buildCache[];  protected int m_buildCacheStartIndex;  /**   * Default constructor.  Note that the default   * block size is currently 2K, which may be overkill for   * small lists and undershootng for large ones.   */  public SuballocatedIntVector()  {    this(2048);  }  /**   * Construct a IntVector, using the given block size and number   * of blocks. For efficiency, we will round the requested size    * off to a power of two.   *   * @param blocksize Size of block to allocate   * @param numblocks Number of blocks to allocate   * */  public SuballocatedIntVector(int blocksize, int numblocks)  {    //m_blocksize = blocksize;    for(m_SHIFT=0;0!=(blocksize>>>=1);++m_SHIFT)      ;    m_blocksize=1<<m_SHIFT;    m_MASK=m_blocksize-1;    m_numblocks = numblocks;    	    m_map0=new int[m_blocksize];    m_map = new int[numblocks][];    m_map[0]=m_map0;    m_buildCache = m_map0;    m_buildCacheStartIndex = 0;  }	  /** Construct a IntVector, using the given block size and   * the default number of blocks (32).   *   * @param blocksize Size of block to allocate   * */  public SuballocatedIntVector(int blocksize)  {    this(blocksize, NUMBLOCKS_DEFAULT);  }  /**   * Get the length of the list.   *   * @return length of the list   */  public int size()  {    return m_firstFree;  }    /**   * Set the length of the list. This will only work to truncate the list, and   * even then it has not been heavily tested and may not be trustworthy.   *   * @return length of the list   */  public void setSize(int sz)  {    if(m_firstFree>sz) // Whups; had that backward!      m_firstFree = sz;  }  /**   * Append a int onto the vector.   *   * @param value Int to add to the list    */  public  void addElement(int value)  {    int indexRelativeToCache = m_firstFree - m_buildCacheStartIndex;    // Is the new index an index into the cache row of m_map?    if(indexRelativeToCache >= 0 && indexRelativeToCache < m_blocksize) {      m_buildCache[indexRelativeToCache]=value;      ++m_firstFree;    } else {      // Growing the outer array should be rare. We initialize to a      // total of m_blocksize squared elements, which at the default      // size is 4M integers... and we grow by at least that much each      // time.  However, attempts to microoptimize for this (assume      // long enough and catch exceptions) yield no noticable      // improvement.      int index=m_firstFree>>>m_SHIFT;      int offset=m_firstFree&m_MASK;      if(index>=m_map.length)      {	int newsize=index+m_numblocks;	int[][] newMap=new int[newsize][];	System.arraycopy(m_map, 0, newMap, 0, m_map.length);	m_map=newMap;      }      int[] block=m_map[index];      if(null==block)	block=m_map[index]=new int[m_blocksize];      block[offset]=value;      // Cache the current row of m_map.  Next m_blocksize-1      // values added will go to this row.      m_buildCache = block;      m_buildCacheStartIndex = m_firstFree-offset;      ++m_firstFree;    }  }  /**   * Append several int values onto the vector.   *   * @param value Int to add to the list    */  private  void addElements(int value, int numberOfElements)  {    if(m_firstFree+numberOfElements<m_blocksize)      for (int i = 0; i < numberOfElements; i++)       {        m_map0[m_firstFree++]=value;      }    else    {      int index=m_firstFree>>>m_SHIFT;      int offset=m_firstFree&m_MASK;      m_firstFree+=numberOfElements;      while( numberOfElements>0)      {        if(index>=m_map.length)        {          int newsize=index+m_numblocks;          int[][] newMap=new int[newsize][];          System.arraycopy(m_map, 0, newMap, 0, m_map.length);          m_map=newMap;        }        int[] block=m_map[index];        if(null==block)          block=m_map[index]=new int[m_blocksize];        int copied=(m_blocksize-offset < numberOfElements)          ? m_blocksize-offset : numberOfElements;        numberOfElements-=copied;        while(copied-- > 0)          block[offset++]=value;        ++index;offset=0;      }    }  }    /**   * Append several slots onto the vector, but do not set the values.   * Note: "Not Set" means the value is unspecified.   *   * @param numberOfElements Int to add to the list    */  private  void addElements(int numberOfElements)  {    int newlen=m_firstFree+numberOfElements;    if(newlen>m_blocksize)    {      int index=m_firstFree>>>m_SHIFT;      int newindex=(m_firstFree+numberOfElements)>>>m_SHIFT;      for(int i=index+1;i<=newindex;++i)        m_map[i]=new int[m_blocksize];    }    m_firstFree=newlen;  }    /**   * Inserts the specified node in this vector at the specified index.   * Each component in this vector with an index greater or equal to   * the specified index is shifted upward to have an index one greater   * than the value it had previously.   *   * Insertion may be an EXPENSIVE operation!   *   * @param value Int to insert   * @param at Index of where to insert    */  private  void insertElementAt(int value, int at)  {    if(at==m_firstFree)      addElement(value);    else if (at>m_firstFree)    {      int index=at>>>m_SHIFT;      if(index>=m_map.length)      {        int newsize=index+m_numblocks;        int[][] newMap=new int[newsize][];        System.arraycopy(m_map, 0, newMap, 0, m_map.length);        m_map=newMap;      }      int[] block=m_map[index];      if(null==block)        block=m_map[index]=new int[m_blocksize];      int offset=at&m_MASK;          block[offset]=value;          m_firstFree=offset+1;        }    else    {      int index=at>>>m_SHIFT;      int maxindex=m_firstFree>>>m_SHIFT; // %REVIEW% (m_firstFree+1?)      ++m_firstFree;

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