| 1 | /* $Id$ $Revision$ */ | 
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| 2 | /* vim:set shiftwidth=4 ts=8: */ | 
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| 3 |  | 
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| 4 | /************************************************************************* | 
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| 5 | * Copyright (c) 2011 AT&T Intellectual Property | 
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| 6 | * All rights reserved. This program and the accompanying materials | 
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| 7 | * are made available under the terms of the Eclipse Public License v1.0 | 
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| 8 | * which accompanies this distribution, and is available at | 
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| 9 | * http://www.eclipse.org/legal/epl-v10.html | 
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| 10 | * | 
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| 11 | * Contributors: See CVS logs. Details at http://www.graphviz.org/ | 
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| 12 | *************************************************************************/ | 
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| 13 |  | 
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| 14 |  | 
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| 15 | /****************************************** | 
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| 16 |  | 
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| 17 | Breadth First Search | 
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| 18 | Computes single-source distances for | 
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| 19 | unweighted graphs | 
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| 20 |  | 
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| 21 | ******************************************/ | 
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| 22 |  | 
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| 23 | #include "bfs.h" | 
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| 24 | #include <stdlib.h> | 
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| 25 | /* #include <math.h> */ | 
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| 26 |  | 
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| 27 | void bfs(int vertex, vtx_data * graph, int n, DistType * dist, Queue * Q) | 
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| 28 | /* compute vector 'dist' of distances of all nodes from 'vertex' */ | 
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| 29 | { | 
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| 30 | int i; | 
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| 31 | int closestVertex, neighbor; | 
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| 32 | DistType closestDist = INT_MAX; | 
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| 33 |  | 
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| 34 | /* initial distances with edge weights: */ | 
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| 35 | for (i = 0; i < n; i++) | 
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| 36 | dist[i] = -1; | 
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| 37 | dist[vertex] = 0; | 
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| 38 |  | 
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| 39 | initQueue(Q, vertex); | 
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| 40 |  | 
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| 41 | if (graph[0].ewgts == NULL) { | 
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| 42 | while (deQueue(Q, &closestVertex)) { | 
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| 43 | closestDist = dist[closestVertex]; | 
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| 44 | for (i = 1; i < graph[closestVertex].nedges; i++) { | 
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| 45 | neighbor = graph[closestVertex].edges[i]; | 
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| 46 | if (dist[neighbor] < -0.5) {	/* first time to reach neighbor */ | 
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| 47 | dist[neighbor] = closestDist + 1; | 
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| 48 | enQueue(Q, neighbor); | 
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| 49 | } | 
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| 50 | } | 
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| 51 | } | 
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| 52 | } else { | 
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| 53 | while (deQueue(Q, &closestVertex)) { | 
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| 54 | closestDist = dist[closestVertex]; | 
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| 55 | for (i = 1; i < graph[closestVertex].nedges; i++) { | 
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| 56 | neighbor = graph[closestVertex].edges[i]; | 
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| 57 | if (dist[neighbor] < -0.5) {	/* first time to reach neighbor */ | 
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| 58 | dist[neighbor] = | 
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| 59 | closestDist + | 
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| 60 | (DistType) graph[closestVertex].ewgts[i]; | 
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| 61 | enQueue(Q, neighbor); | 
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| 62 | } | 
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| 63 | } | 
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| 64 | } | 
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| 65 | } | 
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| 66 |  | 
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| 67 | /* For dealing with disconnected graphs: */ | 
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| 68 | for (i = 0; i < n; i++) | 
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| 69 | if (dist[i] < -0.5)	/* 'i' is not connected to 'vertex' */ | 
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| 70 | dist[i] = closestDist + 10; | 
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| 71 | } | 
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| 72 |  | 
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| 73 | int | 
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| 74 | bfs_bounded(int vertex, vtx_data * graph, int n, DistType * dist, | 
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| 75 | Queue * Q, int bound, int *visited_nodes) | 
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| 76 | /* compute vector 'dist' of distances of all nodes  from 'vertex' */ | 
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| 77 | /* ignore nodes whose distance to 'vertex' is more than bound */ | 
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| 78 | { | 
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| 79 | /* we assume here, that all distances are initialized with -1 !!!! */ | 
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| 80 |  | 
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| 81 | int i; | 
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| 82 | int num_visit; | 
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| 83 | int closestVertex, neighbor; | 
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| 84 | DistType closestDist; | 
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| 85 | /* initialize distances with edge weights: */ | 
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| 86 | /* for (i=0; i<n; i++)  */ | 
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| 87 | /* dist[i]=-1; */ | 
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| 88 |  | 
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| 89 | dist[vertex] = 0; | 
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| 90 |  | 
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| 91 | initQueue(Q, vertex); | 
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| 92 |  | 
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| 93 | num_visit = 0; | 
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| 94 | while (deQueue(Q, &closestVertex)) { | 
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| 95 | closestDist = dist[closestVertex]; | 
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| 96 | if (closestDist > bound) { | 
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| 97 | dist[closestVertex] = -1; | 
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| 98 | break; | 
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| 99 | } else { | 
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| 100 | visited_nodes[num_visit++] = closestVertex; | 
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| 101 | } | 
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| 102 | for (i = 1; i < graph[closestVertex].nedges; i++) { | 
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| 103 | neighbor = graph[closestVertex].edges[i]; | 
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| 104 | if (dist[neighbor] < -0.5) {	/* first time to reach neighbor */ | 
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| 105 | dist[neighbor] = closestDist + 1; | 
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| 106 | enQueue(Q, neighbor); | 
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| 107 | } | 
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| 108 | } | 
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| 109 | } | 
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| 110 |  | 
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| 111 | /* set distances of all nodes in Queue to -1 */ | 
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| 112 | /* for next run */ | 
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| 113 | while (deQueue(Q, &closestVertex)) { | 
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| 114 | dist[closestVertex] = -1; | 
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| 115 | } | 
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| 116 | dist[vertex] = -1; | 
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| 117 | return num_visit; | 
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| 118 | } | 
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| 119 |  | 
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| 120 | #ifndef __cplusplus | 
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| 121 |  | 
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| 122 | void mkQueue(Queue * qp, int size) | 
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| 123 | { | 
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| 124 | qp->data = N_GNEW(size, int); | 
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| 125 | qp->queueSize = size; | 
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| 126 | qp->start = qp->end = 0; | 
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| 127 | } | 
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| 128 |  | 
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| 129 | Queue *newQueue(int size) | 
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| 130 | { | 
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| 131 | Queue *qp = GNEW(Queue); | 
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| 132 | mkQueue(qp, size); | 
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| 133 | return qp; | 
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| 134 | } | 
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| 135 |  | 
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| 136 | void freeQueue(Queue * qp) | 
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| 137 | { | 
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| 138 | free(qp->data); | 
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| 139 | } | 
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| 140 |  | 
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| 141 | void delQueue(Queue * qp) | 
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| 142 | { | 
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| 143 | free(qp->data); | 
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| 144 | free(qp); | 
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| 145 | } | 
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| 146 |  | 
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| 147 | void initQueue(Queue * qp, int startVertex) | 
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| 148 | { | 
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| 149 | qp->data[0] = startVertex; | 
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| 150 | qp->start = 0; | 
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| 151 | qp->end = 1; | 
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| 152 | } | 
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| 153 |  | 
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| 154 | boolean deQueue(Queue * qp, int *vertex) | 
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| 155 | { | 
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| 156 | if (qp->start >= qp->end) | 
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| 157 | return FALSE;		/* underflow */ | 
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| 158 | *vertex = qp->data[qp->start++]; | 
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| 159 | return TRUE; | 
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| 160 | } | 
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| 161 |  | 
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| 162 | boolean enQueue(Queue * qp, int vertex) | 
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| 163 | { | 
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| 164 | if (qp->end >= qp->queueSize) | 
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| 165 | return FALSE;		/* overflow */ | 
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| 166 | qp->data[qp->end++] = vertex; | 
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| 167 | return TRUE; | 
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| 168 | } | 
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| 169 |  | 
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| 170 | #endif | 
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| 171 |  | 
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