postgresql/src/backend/lib/bipartite_match.c

181 lines
4.1 KiB
C

/*-------------------------------------------------------------------------
*
* bipartite_match.c
* Hopcroft-Karp maximum cardinality algorithm for bipartite graphs
*
* This implementation is based on pseudocode found at:
*
* https://en.wikipedia.org/w/index.php?title=Hopcroft%E2%80%93Karp_algorithm&oldid=593898016
*
* Copyright (c) 2015-2024, PostgreSQL Global Development Group
*
* IDENTIFICATION
* src/backend/lib/bipartite_match.c
*
*-------------------------------------------------------------------------
*/
#include "postgres.h"
#include <limits.h>
#include "lib/bipartite_match.h"
#include "miscadmin.h"
/*
* The distances computed in hk_breadth_search can easily be seen to never
* exceed u_size. Since we restrict u_size to be less than SHRT_MAX, we
* can therefore use SHRT_MAX as the "infinity" distance needed as a marker.
*/
#define HK_INFINITY SHRT_MAX
static bool hk_breadth_search(BipartiteMatchState *state);
static bool hk_depth_search(BipartiteMatchState *state, int u);
/*
* Given the size of U and V, where each is indexed 1..size, and an adjacency
* list, perform the matching and return the resulting state.
*/
BipartiteMatchState *
BipartiteMatch(int u_size, int v_size, short **adjacency)
{
BipartiteMatchState *state = palloc(sizeof(BipartiteMatchState));
if (u_size < 0 || u_size >= SHRT_MAX ||
v_size < 0 || v_size >= SHRT_MAX)
elog(ERROR, "invalid set size for BipartiteMatch");
state->u_size = u_size;
state->v_size = v_size;
state->adjacency = adjacency;
state->matching = 0;
state->pair_uv = (short *) palloc0((u_size + 1) * sizeof(short));
state->pair_vu = (short *) palloc0((v_size + 1) * sizeof(short));
state->distance = (short *) palloc((u_size + 1) * sizeof(short));
state->queue = (short *) palloc((u_size + 2) * sizeof(short));
while (hk_breadth_search(state))
{
int u;
for (u = 1; u <= u_size; u++)
{
if (state->pair_uv[u] == 0)
if (hk_depth_search(state, u))
state->matching++;
}
CHECK_FOR_INTERRUPTS(); /* just in case */
}
return state;
}
/*
* Free a state returned by BipartiteMatch, except for the original adjacency
* list, which is owned by the caller. This only frees memory, so it's optional.
*/
void
BipartiteMatchFree(BipartiteMatchState *state)
{
/* adjacency matrix is treated as owned by the caller */
pfree(state->pair_uv);
pfree(state->pair_vu);
pfree(state->distance);
pfree(state->queue);
pfree(state);
}
/*
* Perform the breadth-first search step of H-K matching.
* Returns true if successful.
*/
static bool
hk_breadth_search(BipartiteMatchState *state)
{
int usize = state->u_size;
short *queue = state->queue;
short *distance = state->distance;
int qhead = 0; /* we never enqueue any node more than once */
int qtail = 0; /* so don't have to worry about wrapping */
int u;
distance[0] = HK_INFINITY;
for (u = 1; u <= usize; u++)
{
if (state->pair_uv[u] == 0)
{
distance[u] = 0;
queue[qhead++] = u;
}
else
distance[u] = HK_INFINITY;
}
while (qtail < qhead)
{
u = queue[qtail++];
if (distance[u] < distance[0])
{
short *u_adj = state->adjacency[u];
int i = u_adj ? u_adj[0] : 0;
for (; i > 0; i--)
{
int u_next = state->pair_vu[u_adj[i]];
if (distance[u_next] == HK_INFINITY)
{
distance[u_next] = 1 + distance[u];
Assert(qhead < usize + 2);
queue[qhead++] = u_next;
}
}
}
}
return (distance[0] != HK_INFINITY);
}
/*
* Perform the depth-first search step of H-K matching.
* Returns true if successful.
*/
static bool
hk_depth_search(BipartiteMatchState *state, int u)
{
short *distance = state->distance;
short *pair_uv = state->pair_uv;
short *pair_vu = state->pair_vu;
short *u_adj = state->adjacency[u];
int i = u_adj ? u_adj[0] : 0;
short nextdist;
if (u == 0)
return true;
if (distance[u] == HK_INFINITY)
return false;
nextdist = distance[u] + 1;
check_stack_depth();
for (; i > 0; i--)
{
int v = u_adj[i];
if (distance[pair_vu[v]] == nextdist)
{
if (hk_depth_search(state, pair_vu[v]))
{
pair_vu[v] = u;
pair_uv[u] = v;
return true;
}
}
}
distance[u] = HK_INFINITY;
return false;
}