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esl_graph.c
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esl_graph.c
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/* Graph algorithms
*
* Contents:
* 1. Maximum bipartite matching
* 2. Unit tests
* 3. Test driver
*/
#include "esl_config.h"
#include <stdlib.h>
#include <stdio.h>
#include "easel.h"
#include "esl_matrixops.h"
#include "esl_vectorops.h"
/* Function: esl_graph_MaxBipartiteMatch()
* Synopsis: Maximum bipartite matching algorithm.
* Incept: SRE, Tue 26 Jun 2018
*
* Purpose: Find a maximum match for a bipartite graph. For two sets,
* one with <M> elements and the other with <N>, the <M> by
* <N> input adjacency matrix <A> defines $A_{ij} =$TRUE
* for allowed matches between the two sets, otherwise
* FALSE. The algorithm defines a maximal matching
* bipartite graph <G> with a subset of those edges.
*
* The total number of edges in <G> is returned in
* <*ret_edges>. By definition, it is $\leq \min(M,N)$;
* equality means a "perfect" match (especially for the
* case $M=N$).
*
* Optionally, the caller can also obtain <G> itself, by
* passing a non-NULL <opt_G> ptr. Edges in <G> are defined
* by $G_{ij} =$ TRUE or FALSE.
*
* Args: A : input adjacency matrix. A[i=0..M-1][j=0..N-1]
* M : number of elements in 1st set (rows in <A>)
* N : number of elements in 2nd set (cols in <A>)
* opt_G : optRETURN: maximal matching bipartite graph
* ret_nedges : RETURN: number of edges in <G>
*
* Returns: <eslOK> on success, *ret_edges is the number of edges in <G>,
* and *opt_G (if <&G> was passed) is a ptr to <G>.
*
* Throws: <eslEMEM> on allocation failure. Now <*ret_nedges> is 0 and
* <*opt_G>, if it was requested, is NULL.
*
* Notes: This is a simplified, specialized version of the
* Ford-Fulkerson maximum flow algorithm. $A_{ij}$ is
* treated as the capacity of directed edges $i \rightarrow
* j$, and the graph is augmented with a source and a sink
* vertex; source $\rightarrow i$ for all $i$, sink
* $\rightarrow j$ for all j, with implicit capacity of 1 on
* all these entry/exit edges.
*/
int
esl_graph_MaxBipartiteMatch(int **A, int M, int N, int ***opt_G, int *ret_nedges)
{
int **G = NULL; // bipartite graph we're building, as a flow network. Gij = 1|0; 1 means i-j link.
int *Ga = NULL; // ... augmented with source -> i flow; Ga[0..M-1] = 1|0.
int *Gz = NULL; // ... and with j -> sink flow; Gz[0..N-1] = 1|0.
int *parent1 = NULL; // Parent in path for vertex in 1st set: parent1[i=0..M-1] = 0..N-1 (forward edges only); -1 (no edge yet)
int *parent2 = NULL; // Parent in path for vertex in 2nd set: parent2[j=0..N-1] = 0..M-1 (reverse edges); M (forward edge to sink); -1 (no edge yet)
int par0; // Parent for source in a new path
int found_path; // TRUE when we find a path that can increase flow
int done; // TRUE while breadth first search is still extending at least one path
int nedges = 0; // number of edges in G
int i,j;
int status;
/* Allocations. */
if (( G = esl_mat_ICreate(M, N) ) == NULL) { status = eslEMEM; goto ERROR; }
ESL_ALLOC(Ga, sizeof(int) * M);
ESL_ALLOC(Gz, sizeof(int) * N);
ESL_ALLOC(parent1, sizeof(int) * M);
ESL_ALLOC(parent2, sizeof(int) * N);
/* G is initialized with no edges. */
esl_vec_ISet(Ga, M, 0);
esl_vec_ISet(Gz, N, 0);
esl_mat_ISet(G, M, N, 0);
// Given the current G: can we identify a path that increases the overall flow?
while (1)
{
found_path = FALSE;
esl_vec_ISet(parent1, M, -1);
for (j = 0; j < N; j++) parent2[j] = Gz[j] ? -1 : M; // j->sink possible if the edge isn't used in G yet; it automatically has capacity of 1.
/* Breadth first search (Edmonds/Karp) to find an augmenting path, until there isn't one */
do {
done = TRUE; // until proven otherwise
for (j = 0; j < N; j++) // breadth-first search back to i from all active j's
if (parent2[j] != -1)
for (i = 0; i < M; i++)
if (parent1[i] == -1 && A[i][j] && ! G[i][j]) { parent1[i] = j; done = FALSE; break; } // can make forward link if 1) capacity and 2) not used in G yet.
for (i = 0; i < M; i++) // breadth-first search back to source from all active i's
if (parent1[i] != -1 && ! Ga[i]) { par0 = i; found_path = TRUE; break; }
for (i = 0; i < M; i++) // active i's can also go back a reverse link to j's
if (parent1[i] != -1)
for (j = 0; j < N; j++)
if (parent2[j] == -1 && G[i][j]) { parent2[j] = i; done = FALSE; break; }
} while (! found_path && ! done);
if (! found_path) break; // We're done. This is the only way.
// Now follow the path. Turn forward links on; turn reverse links off.
i = par0;
Ga[i] = 1;
while (1)
{
j = parent1[i]; G[i][j] = 1; nedges++; // add a forward edge
if (parent2[j] == N) { Gz[j] = 1; break; } // end path
i = parent2[j]; G[i][j] = 0; nedges--; // subtract a reverse edge
}
}
free(Ga); free(Gz);
free(parent1); free(parent2);
if (opt_G) *opt_G = G; else esl_mat_IDestroy(G);
*ret_nedges = nedges;
return eslOK;
ERROR:
esl_mat_IDestroy(G);
free(Ga); free(Gz);
free(parent1); free(parent2);
if (opt_G) *opt_G = NULL;
*ret_nedges = 0;
return status;
}
/*****************************************************************
* 2. Unit tests
*****************************************************************/
#ifdef eslGRAPH_TESTDRIVE
#include "esl_mixdchlet.h"
/* utest_perfect()
*
* Constructs a known <G0> as a perfect bipartite match, shuffled;
* then constructs <A> by adding a random number of extra edges to
* it. Infer <G> from <A>. The inferred <G> therefore should be
* perfect (nedges = n), and in the case of <= 1 extra added edge, <G0
* == G>.
*/
static void
utest_perfect(ESL_RANDOMNESS *rng)
{
char msg[] = "esl_graph utest_perfect failed";
int n = 1 + esl_rnd_Roll(rng, 20); // 1..20
int nextra = esl_rnd_Roll(rng, n*n-n); // 0..N^2-N-1
int *shuf = NULL;
int **G0 = esl_mat_ICreate(n, n);
int **A = esl_mat_ICreate(n, n);
int **G = NULL;
int ntot = n; // number of edges in A
int nedges; // number of edges in G
int i,j,e;
if ((shuf = malloc(sizeof(int) * n)) == NULL) esl_fatal(msg);
for (i = 0; i < n; i++) shuf[i] = i;
esl_vec_IShuffle(rng, shuf, n);
esl_mat_ISet(G0, n, n, 0);
for (i = 0; i < n; i++)
G0[i][shuf[i]] = TRUE;
esl_mat_ICopy(G0, n, n, A);
for (e = 0; e < nextra; e++)
{
i = esl_rnd_Roll(rng, n);
j = esl_rnd_Roll(rng, n);
if (! A[i][j]) ntot++;
A[i][j] = TRUE;
}
esl_graph_MaxBipartiteMatch(A, n, n, &G, &nedges);
if (nedges != n) esl_fatal(msg);
if (ntot <= n+1 && esl_mat_ICompare(G, G0, n, n) != eslOK) esl_fatal(msg);
free(shuf);
esl_mat_IDestroy(A);
esl_mat_IDestroy(G);
esl_mat_IDestroy(G0);
}
#endif // eslGRAPH_TESTDRIVE
/*****************************************************************
* 3. Test driver
*****************************************************************/
#ifdef eslGRAPH_TESTDRIVE
#include "easel.h"
#include "esl_getopts.h"
#include "esl_random.h"
static ESL_OPTIONS options[] = {
/* name type default env range togs reqs incomp help docgrp */
{"-h", eslARG_NONE, FALSE, NULL, NULL, NULL, NULL, NULL, "show help and usage", 0},
{"-s", eslARG_INT, "0", NULL, NULL, NULL, NULL, NULL, "set random number seed to <n>", 0},
{ 0,0,0,0,0,0,0,0,0,0},
};
static char usage[] = "[-options]";
static char banner[] = "test driver for graph module";
int
main(int argc, char **argv)
{
ESL_GETOPTS *go = esl_getopts_CreateDefaultApp(options, 0, argc, argv, banner, usage);
ESL_RANDOMNESS *rng = esl_randomness_Create(esl_opt_GetInteger(go, "-s"));
fprintf(stderr, "## %s\n", argv[0]);
fprintf(stderr, "# rng seed = %" PRIu32 "\n", esl_randomness_GetSeed(rng));
utest_perfect(rng);
fprintf(stderr, "# status = ok\n");
esl_randomness_Destroy(rng);
esl_getopts_Destroy(go);
return 0;
}
#endif // eslGRAPH_TESTDRIVE