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authorChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
committerChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
commite26434979adc33bd949566ba7bf02dff64e80a3e (patch)
treed1c72495e3af6301bd28e7e66c42de0c7a944d1f /rst_parser/rst.cc
parent0870d4a1f5e14cc7daf553b180d599f09f6614a2 (diff)
cdec cleanup, remove bayesian stuff, parsing stuff
Diffstat (limited to 'rst_parser/rst.cc')
-rw-r--r--rst_parser/rst.cc82
1 files changed, 0 insertions, 82 deletions
diff --git a/rst_parser/rst.cc b/rst_parser/rst.cc
deleted file mode 100644
index bc91330b..00000000
--- a/rst_parser/rst.cc
+++ /dev/null
@@ -1,82 +0,0 @@
-#include "rst.h"
-
-using namespace std;
-
-// David B. Wilson. Generating Random Spanning Trees More Quickly than the Cover Time.
-// this is an awesome algorithm
-TreeSampler::TreeSampler(const ArcFactoredForest& af) : forest(af), usucc(af.size() + 1) {
- // edges are directed from modifiers to heads, and finally to the root
- vector<double> p;
- for (int m = 1; m <= forest.size(); ++m) {
-#if USE_ALIAS_SAMPLER
- p.clear();
-#else
- SampleSet<double>& ss = usucc[m];
-#endif
- double z = 0;
- for (int h = 0; h <= forest.size(); ++h) {
- double u = forest(h-1,m-1).edge_prob.as_float();
- z += u;
-#if USE_ALIAS_SAMPLER
- p.push_back(u);
-#else
- ss.add(u);
-#endif
- }
-#if USE_ALIAS_SAMPLER
- for (int i = 0; i < p.size(); ++i) { p[i] /= z; }
- usucc[m].Init(p);
-#endif
- }
-}
-
-void TreeSampler::SampleRandomSpanningTree(EdgeSubset* tree, MT19937* prng) {
- MT19937& rng = *prng;
- const int r = 0;
- bool success = false;
- while (!success) {
- int roots = 0;
- tree->h_m_pairs.clear();
- tree->roots.clear();
- vector<int> next(forest.size() + 1, -1);
- vector<char> in_tree(forest.size() + 1, 0);
- in_tree[r] = 1;
- //cerr << "Forest size: " << forest.size() << endl;
- for (int i = 0; i <= forest.size(); ++i) {
- //cerr << "Sampling starting at u=" << i << endl;
- int u = i;
- if (in_tree[u]) continue;
- while(!in_tree[u]) {
-#if USE_ALIAS_SAMPLER
- next[u] = usucc[u].Draw(rng);
-#else
- next[u] = rng.SelectSample(usucc[u]);
-#endif
- u = next[u];
- }
- u = i;
- //cerr << (u-1);
- int prev = u-1;
- while(!in_tree[u]) {
- in_tree[u] = true;
- u = next[u];
- //cerr << " > " << (u-1);
- if (u == r) {
- ++roots;
- tree->roots.push_back(prev);
- } else {
- tree->h_m_pairs.push_back(make_pair<short,short>(u-1,prev));
- }
- prev = u-1;
- }
- //cerr << endl;
- }
- assert(roots > 0);
- if (roots > 1) {
- //cerr << "FAILURE\n";
- } else {
- success = true;
- }
- }
-};
-