aboutsummaryrefslogtreecommitdiffstats
path: root/src/algorithms/searching/MultibinarySearch.java
blob: 663de7c023d69f7cc096152be7d8a0a3cd2d71df (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
/**
 * Copyright © 2014  Mattias Andrée (maandree@member.fsf.org)
 * 
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Affero General Public License for more details.
 * 
 * You should have received a copy of the GNU Affero General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */
package algorithms.searching;

import java.util.*;


/**
 * Multibinary search class. Multibinary search runs with time complexity
 * 𝓞(log n + m) and memory complexity 𝓞(log m), where n is the number of
 * elements in the array to be searched, and m is the number of items for
 * which to search. Multibinary search locates multiple items in an array
 * effectively, the items to locate must however be unique and stored in
 * a sorted list. The algorithm only works with sorted arrays. Identity
 * search is not possible, only equality search. Null elements are not
 * allowed, unless the specified compator allows it.
 * 
 * This algorithm was devised by Mattias Andrée in February of 2013.
 */
public class MultibinarySearch
{
    /**
     * List sort order
     */
    public static enum SortOrder
    {
        /**
         * Bigger index, bigger value
         */
        ASCENDING,
        
        /**
         * Bigger index, smaller value
         */
        DESCENDING,
        
    }
    
    /**
     * List sort order
     */
    public static enum SearchMode
    {
        /**
         * Look for the index of the easiest to find occurence
         */
        FIND_ANY,
        
        /**
         * Look for the index of the first occurence
         */
        FIND_FIRST,
        
        /**
         * Look for the index of the last occurence
         */
        FIND_LAST,
        
        /**
         * Look for both the index of the fist occurence and of the last occurence.<br>
         * The returned value will be {@code (LAST << 32) | FIRST}.
         */
        FIND_FIRST_AND_LAST,
        
    }
    
    
    
£>for T in boolean char byte short int long float double T T++; do . src/comparable
    /**
     * Find the indices of multiple items in a list, with time
     * complexity 𝓞(log n + m) and memory complexity 𝓞(log m)
     * 
     * @param   items  Sorted list of unique items for which to search, the number
     *                 of elements is named ‘m’ in the complexity analysis
     * @param   array  Sorted list in which to search, the number of elements
     *                 is named ‘n’ in the complexity analysis
     * @param   order  The lists' element order
     * @param   mode   The search mode
     * @return         Two arrays of integer arrays, the 0:th being the indices
     *                 of items, the 1:th being their positions. That is,
     *                 two separate arrays, not and array of pairs. The expected
     *                 position is returned inverted if it was not found, the
     *                 position it whould have upon be inserted, otherwise the
     *                 position is returned as an index if the mode does not
     *                 specify anything else.
     */
    public static £(fun "long[][]" indexOf "${T}[] items, ${Tarray} array, SortOrder order, SearchMode mode")
    {
	return indexOf(items, array, order, mode, 0, array.length - 1£{Targ_name});
    }
    
    /**
     * Find the indices of multiple items in a list, with time
     * complexity 𝓞(log n + m) and memory complexity 𝓞(log m)
     * 
     * @param   items  Sorted list of unique items for which to search, the number
     *                 of elements is named ‘m’ in the complexity analysis
     * @param   array  Sorted list in which to search, the number of elements
     *                 is named ‘n’ in the complexity analysis
     * @param   order  The lists' element order
     * @param   mode   The search mode
     * @param   start  The index of the first position to search in the array
     * @return         Two arrays of integer arrays, the 0:th being the indices
     *                 of items, the 1:th being their positions. That is,
     *                 two separate arrays, not and array of pairs. The expected
     *                 position is returned inverted if it was not found, the
     *                 position it whould have upon be inserted, otherwise the
     *                 position is returned as an index if the mode does not
     *                 specify anything else.
     */
    public static £(fun "long[][]" indexOf "${T}[] items, ${Tarray} array, SortOrder order, SearchMode mode, int start")
    {
	return indexOf(items, array, order, mode, start, array.length - 1£{Targ_name});
    }
    
    /**
     * Find the indices of multiple items in a list, with time
     * complexity 𝓞(log n + m) and memory complexity 𝓞(log m)
     * 
     * @param   items  Sorted list of unique items for which to search, the number
     *                 of elements is named ‘m’ in the complexity analysis
     * @param   array  Sorted list in which to search, the number of elements
     *                 is named ‘n’ in the complexity analysis
     * @param   order  The lists' (both) element order
     * @param   mode   The search mode
     * @param   start  The index of the first position to search in the array
     * @param   end    The index after the last position to search in the array
     * @return         Two arrays of integer arrays, the 0:th being the indices
     *                 of items, the 1:th being their positions. That is,
     *                 two separate arrays, not and array of pairs. The expected
     *                 position is returned inverted if it was not found, the
     *                 position it whould have upon be inserted, otherwise the
     *                 position is returned as an index if the mode does not
     *                 specify anything else.
     */
    public static £(fun "long[][]" indexOf "${T}[] items, ${Tarray} array, SortOrder order, SearchMode mode, int start, int end")
    {
	if (mode != SearchMode.FIND_ANY)
	    throw new Error("Mode not implemented"); /* TODO */
	
	BinarySearch.SearchMode mode_ =
	          mode == SearchMode.FIND_ANY   ? BinarySearch.SearchMode.FIND_ANY
	        : mode == SearchMode.FIND_FIRST ? BinarySearch.SearchMode.FIND_FIRST
	        : mode == SearchMode.FIND_LAST  ? BinarySearch.SearchMode.FIND_LAST
	                                        : BinarySearch.SearchMode.FIND_FIRST_AND_LAST;
	BinarySearch.SortOrder order_ = order == SortOrder.ASCENDING
	        ? BinarySearch.SortOrder.ASCENDING
	        : BinarySearch.SortOrder.DESCENDING;
	
	int m = items.length, lb_m = 1;
	long[][] rc = new long[2][m];
	
	if (m == 0)
	    return rc;
	
	if ((m & 0xFFFF0000) != 0)  { lb_m |= 16;  m >>= 16; }
	if ((m & 0x0000FF00) != 0)  { lb_m |=  8;  m >>=  8; }
	if ((m & 0x000000F0) != 0)  { lb_m |=  4;  m >>=  4; }
	if ((m & 0x0000000C) != 0)  { lb_m |=  2;  m >>=  2; }
	if ((m & 0x00000002) != 0)  { lb_m +=  1; }
	
        int[][] minomax = new int[4][lb_m];
	m = items.length - 1;
	
	int rc_i = 0;
	int mm_i = 0;
	int imin, imax, amin = 0, amax = 0, lastimax, lastamax;
	
	minomax[0][mm_i] = 0;
	minomax[1][mm_i] = m;
	minomax[2][mm_i] = start;
	minomax[3][mm_i++] = end - 1;
	
£>bin_search="BinarySearch.indexOf(items[imax], array, order_, mode_, amin, amax${Targ_name})"
	
	while (mm_i-- > 0)
	{
	    imin = minomax[0][mm_i];
	    imax = minomax[1][mm_i];
	    amin = minomax[2][mm_i];
	    amax = minomax[3][mm_i];
	    
	    while (imax != imin)
	    {
		lastimax = imax;
		lastamax = amax;
		rc[0][rc_i] = imax = imin + ((imax - imin) >>> 1);
		rc[1][rc_i++] = amax = (int)(£{bin_search});
		if (amax < 0)
		    amax = ~amax;
		
		minomax[0][mm_i] = imax + 1;
		minomax[1][mm_i] = lastimax;
		minomax[2][mm_i] = amax + 1;
		minomax[3][mm_i++] = lastamax;
	    }
	}
	
	imax = m;
	amax = (int)(£{bin_search});
	rc[0][rc_i] = imax;
	rc[1][rc_i++] = amax;
	
	return rc;
    }
£>done
}