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#include "maybe_update_bound.h"
#include "apply_fsa_models.h"
#include "hg.h"
#include "ff_fsa_dynamic.h"
#include "ff_from_fsa.h"
#include "feature_vector.h"
#include "stringlib.h"
#include "apply_models.h"
#include <stdexcept>
#include <cassert>
#include "cfg.h"
#include "hg_cfg.h"
#include "utoa.h"
#include "hash.h"
#include "value_array.h"
#include "d_ary_heap.h"
#include "agenda.h"
#define DFSA(x) x
#define DPFSA(x) x
using namespace std;
//impl details (not exported). flat namespace for my ease.
typedef CFG::RHS RHS;
typedef CFG::BinRhs BinRhs;
typedef CFG::NTs NTs;
typedef CFG::NT NT;
typedef CFG::NTHandle NTHandle;
typedef CFG::Rules Rules;
typedef CFG::Rule Rule;
typedef CFG::RuleHandle RuleHandle;
namespace {
/*
1) A -> x . * (trie)
this is somewhat nice. cost pushed for best first, of course. similar benefit as left-branching binarization without the explicit predict/complete steps?
vs. just
2) * -> x . y
here you have to potentially list out all A -> . x y as items * -> . x y immediately, and shared rhs seqs won't be shared except at the usual single-NT predict/complete. of course, the prediction of items -> . x y can occur lazy best-first.
vs.
3) * -> x . *
with 3, we predict all sorts of useless items - that won't give us our goal A and may not partcipate in any parse. this is not a good option at all.
*/
#define TRIE_START_LHS 1
// 1 is option 1) above. 0 would be option 3), which is dumb
// if we don't greedy-binarize, we want to encode recognized prefixes p (X -> p . rest) efficiently. if we're doing this, we may as well also push costs so we can best-first select rules in a lazy fashion. this is effectively left-branching binarization, of course.
template <class K,class V,class Hash>
struct fsa_map_type {
typedef std::map<K,V> type;
};
//template typedef
#define FSA_MAP(k,v) fsa_map_type<k,v,boost::hash<k> >::type
typedef WordID LHS; // so this will be -NTHandle.
struct get_second {
template <class P>
typename P::second_type const& operator()(P const& p) const {
return p.second;
}
};
struct PrefixTrieNode;
struct PrefixTrieEdge {
// PrefixTrieEdge() { }
// explicit PrefixTrieEdge(prob_t p) : p(p),dest(0) { }
prob_t p;// viterbi additional prob, i.e. product over path incl. p_final = total rule prob
//DPFSA()
// we can probably just store deltas, but for debugging remember the full p
// prob_t delta; //
PrefixTrieNode *dest;
bool is_final() const { return dest==0; }
WordID w; // for lhs, this will be nonneg NTHandle instead. // not set if is_final() // actually, set to lhs nt index
// for sorting most probable first in adj; actually >(p)
inline bool operator <(PrefixTrieEdge const& o) const {
return o.p<p;
}
};
struct PrefixTrieNode {
prob_t p; // viterbi (max prob) of rule this node leads to - when building. telescope later onto edges for best-first.
#if TRIE_START_LHS
// bool final; // may also have successors, of course. we don't really need to track this; a null dest edge in the adj list lets us encounter the fact in best first order.
// prob_t p_final; // additional prob beyond what we already paid. while building, this is the total prob
// instead of storing final, we'll say that an edge with a NULL dest is a final edge. this way it gets sorted into the list of adj.
// instead of completed map, we have trie start w/ lhs.
NTHandle lhs; // nonneg. - instead of storing this in Item.
#else
typedef FSA_MAP(LHS,RuleHandle) Completed; // can only have one rule w/ a given signature (duplicates should be collapsed when making CFG). but there may be multiple rules, with different LHS
Completed completed;
#endif
enum { ROOT=-1 };
explicit PrefixTrieNode(NTHandle lhs=ROOT,prob_t p=1) : p(p),lhs(lhs) {
//final=false;
}
bool is_root() const { return lhs==ROOT; } // means adj are the nonneg lhs indices, and we have the index edge_for still available
// outgoing edges will be ordered highest p to worst p
typedef FSA_MAP(WordID,PrefixTrieEdge) PrefixTrieEdgeFor;
public:
PrefixTrieEdgeFor edge_for; //TODO: move builder elsewhere? then need 2nd hash or edge include pointer to builder. just clear this later
bool have_adj() const {
return adj.size()>=edge_for.size();
}
bool no_adj() const {
return adj.empty();
}
void index_adj() {
index_adj(edge_for);
}
template <class M>
void index_adj(M &m) {
assert(have_adj());
m.clear();
for (int i=0;i<adj.size();++i) {
PrefixTrieEdge const& e=adj[i];
m[e.w]=e;
}
}
template <class PV>
void index_root(PV &v) {
v.resize(adj.size());
for (int i=0,e=adj.size();i!=e;++i) {
PrefixTrieEdge const& e=adj[i];
// assert(e.p.is_1()); // actually, after done_building, e will have telescoped dest->p/p.
v[e.w]=e.dest;
}
}
// call only once.
void done_building_r() {
done_building();
for (int i=0;i<adj.size();++i)
adj[i].dest->done_building_r();
}
// for done_building; compute incremental (telescoped) edge p
PrefixTrieEdge const& operator()(PrefixTrieEdgeFor::value_type const& pair) const {
PrefixTrieEdge &e=const_cast<PrefixTrieEdge&>(pair.second);
e.p=(e.dest->p)/p;
return e;
}
// call only once.
void done_building() {
adj.reinit_map(edge_for,*this);
// if (final) p_final/=p;
std::sort(adj.begin(),adj.end());
//TODO: store adjacent differences on edges (compared to
}
typedef ValueArray<PrefixTrieEdge> Adj;
// typedef vector<PrefixTrieEdge> Adj;
Adj adj;
typedef WordID W;
// let's compute p_min so that every rule reachable from the created node has p at least this low.
PrefixTrieNode *improve_edge(PrefixTrieEdge const& e,prob_t rulep) {
PrefixTrieNode *d=e.dest;
maybe_increase_max(d->p,rulep);
return d;
}
inline PrefixTrieNode *build(W w,prob_t rulep) {
return build(lhs,w,rulep);
}
inline PrefixTrieNode *build_lhs(NTHandle w,prob_t rulep) {
return build(w,w,rulep);
}
PrefixTrieNode *build(NTHandle lhs_,W w,prob_t rulep) {
PrefixTrieEdgeFor::iterator i=edge_for.find(w);
if (i!=edge_for.end())
return improve_edge(i->second,rulep);
PrefixTrieEdge &e=edge_for[w];
return e.dest=new PrefixTrieNode(lhs_,rulep);
}
void set_final(NTHandle lhs_,prob_t pf) {
assert(no_adj());
// final=true; // don't really need to track this.
PrefixTrieEdge &e=edge_for[-1];
e.p=pf;
e.dest=0;
e.w=lhs_;
if (pf>p)
p=pf;
}
private:
void destroy_children() {
assert(adj.size()>=edge_for.size());
for (int i=0,e=adj.size();i<e;++i) {
PrefixTrieNode *c=adj[i].dest;
if (c) { // final state has no end
delete c;
}
}
}
public:
~PrefixTrieNode() {
destroy_children();
}
};
#if TRIE_START_LHS
//Trie starts with lhs (nonneg index), then continues w/ rhs (mixed >0 word, else NT)
#else
// just rhs. i think item names should exclude lhs if possible (most sharing). get prefix cost w/ forward = viterbi (global best-first admissable h only) and it should be ok?
#endif
struct PrefixTrie {
CFG *cfgp;
Rules const* rulesp;
Rules const& rules() const { return *rulesp; }
CFG const& cfg() const { return *cfgp; }
PrefixTrieNode root;
PrefixTrie(CFG &cfg) : cfgp(&cfg),rulesp(&cfg.rules) {
// cfg.SortLocalBestFirst(); // instead we'll sort in done_building_r
cfg.VisitRuleIds(*this);
root.done_building_r();
root.index_adj(); // maybe the index we use for building trie should be replaced by a much larger/faster table since we look up by lhs many times in parsing?
//TODO:
}
void operator()(int ri) const {
Rule const& r=rules()[ri];
NTHandle lhs=r.lhs;
prob_t p=r.p;
PrefixTrieNode *n=const_cast<PrefixTrieNode&>(root).build_lhs(lhs,p);
for (RHS::const_iterator i=r.rhs.begin(),e=r.rhs.end();;++i) {
if (i==e) {
n->set_final(lhs,p);
break;
}
n=n->build(*i,p);
}
// root.build(lhs,r.p)->build(r.rhs,r.p);
}
};
typedef std::size_t ItemHash;
struct Item {
explicit Item(PrefixTrieNode *dot,int next=0) : dot(dot),next(next) { }
PrefixTrieNode *dot; // dot is a function of the stuff already recognized, and gives a set of suffixes y to complete to finish a rhs for lhs() -> dot y. for a lhs A -> . *, this will point to lh2[A]
int next; // index of dot->adj to complete (if dest==0), or predict (if NT), or scan (if word)
NTHandle lhs() const { return dot->lhs; }
inline ItemHash hash() const {
return GOLDEN_MEAN_FRACTION*next^((ItemHash)dot>>4); // / sizeof(PrefixTrieNode), approx., i.e. lower order bits of ptr are nonrandom
}
};
inline ItemHash hash_value(Item const& x) {
return x.hash();
}
Item null_item((PrefixTrieNode*)0);
// these should go in a global best-first queue
struct ItemP {
ItemP() : forward(init_0()),inner(init_0()) { }
prob_t forward; // includes inner prob.
// NOTE: sum = viterbi (max)
/* The forward probability alpha_i(X[k]->x.y) is the sum of the probabilities of all
constrained paths of length that end in state X[k]->x.y*/
prob_t inner;
/* The inner probability beta_i(X[k]->x.y) is the sum of the probabilities of all
paths of length i-k that start in state X[k,k]->.xy and end in X[k,i]->x.y, and generate the input symbols x[k,...,i-1] */
};
struct Chart {
//Agenda<Item> a;
//typedef HASH_MAP<Item,ItemP,boost::hash<Item> > Items;
//typedef Items::iterator FindItem;
//typedef std::pair<FindItem,bool> InsertItem;
// Items items;
CFG &cfg; // TODO: remove this from Chart
NTHandle goal_nt;
PrefixTrie trie;
typedef std::vector<PrefixTrieNode *> LhsToTrie; // will have to check lhs2[lhs].p for best cost of some rule with that lhs, then use edge deltas after? they're just caching a very cheap computation, really
LhsToTrie lhs2; // no reason to use a map or hash table; every NT in the CFG will have some rule rhses. lhs_to_trie[i]=root.edge_for[i], i.e. we still have a root trie node conceptually, we just access through this since it's faster.
void enqueue(Item const& item,ItemP const& p) {
// FindItem f=items.find(item);
// if (f==items.end()) ;
}
Chart(CFG &cfg) :cfg(cfg),trie(cfg) {
goal_nt=cfg.goal_nt;
trie.root.index_root(lhs2);
}
};
}//anon ns
DEFINE_NAMED_ENUM(FSA_BY)
struct ApplyFsa {
ApplyFsa(HgCFG &i,
const SentenceMetadata& smeta,
const FsaFeatureFunction& fsa,
DenseWeightVector const& weights,
ApplyFsaBy const& by,
Hypergraph* oh
)
:hgcfg(i),smeta(smeta),fsa(fsa),weights(weights),by(by),oh(oh)
{
}
void Compute() {
if (by.IsBottomUp())
ApplyBottomUp();
else
ApplyEarley();
}
void ApplyBottomUp();
void ApplyEarley();
CFG const& GetCFG();
private:
CFG cfg;
HgCFG &hgcfg;
const SentenceMetadata& smeta;
const FsaFeatureFunction& fsa;
// WeightVector weight_vector;
DenseWeightVector weights;
ApplyFsaBy by;
Hypergraph* oh;
std::string cfg_out;
};
void ApplyFsa::ApplyBottomUp()
{
assert(by.IsBottomUp());
FeatureFunctionFromFsa<FsaFeatureFunctionFwd> buff(&fsa);
buff.Init(); // mandatory to call this (normally factory would do it)
vector<const FeatureFunction*> ffs(1,&buff);
ModelSet models(weights, ffs);
IntersectionConfiguration i(by.BottomUpAlgorithm(),by.pop_limit);
ApplyModelSet(hgcfg.ih,smeta,models,i,oh);
}
void ApplyFsa::ApplyEarley()
{
hgcfg.GiveCFG(cfg);
Chart chart(cfg);
// don't need to uniq - option to do that already exists in cfg_options
//TODO:
}
void ApplyFsaModels(HgCFG &i,
const SentenceMetadata& smeta,
const FsaFeatureFunction& fsa,
DenseWeightVector const& weight_vector,
ApplyFsaBy const& by,
Hypergraph* oh)
{
ApplyFsa a(i,smeta,fsa,weight_vector,by,oh);
a.Compute();
}
/*
namespace {
char const* anames[]={
"BU_CUBE",
"BU_FULL",
"EARLEY",
0
};
}
*/
//TODO: named enum type in boost?
std::string ApplyFsaBy::name() const {
// return anames[algorithm];
return GetName(algorithm);
}
std::string ApplyFsaBy::all_names() {
return FsaByNames(" ");
/*
std::ostringstream o;
for (int i=0;i<N_ALGORITHMS;++i) {
assert(anames[i]);
if (i) o<<' ';
o<<anames[i];
}
return o.str();
*/
}
ApplyFsaBy::ApplyFsaBy(std::string const& n, int pop_limit) : pop_limit(pop_limit) {
std::string uname=toupper(n);
algorithm=GetFsaBy(uname);
/*anames=0;
while(anames[algorithm] && anames[algorithm] != uname) ++algorithm;
if (!anames[algorithm])
throw std::runtime_error("Unknown ApplyFsaBy type: "+n+" - legal types: "+all_names());
*/
}
ApplyFsaBy::ApplyFsaBy(FsaBy i, int pop_limit) : pop_limit(pop_limit) {
/* if (i<0 || i>=N_ALGORITHMS)
throw std::runtime_error("Unknown ApplyFsaBy type id: "+itos(i)+" - legal types: "+all_names());
*/
GetName(i); // checks validity
algorithm=i;
}
int ApplyFsaBy::BottomUpAlgorithm() const {
assert(IsBottomUp());
return algorithm==BU_CUBE ?
IntersectionConfiguration::CUBE
:IntersectionConfiguration::FULL;
}
void ApplyFsaModels(Hypergraph const& ih,
const SentenceMetadata& smeta,
const FsaFeatureFunction& fsa,
DenseWeightVector const& weights, // pre: in is weighted by these (except with fsa featval=0 before this)
ApplyFsaBy const& cfg,
Hypergraph* out)
{
HgCFG i(ih);
ApplyFsaModels(i,smeta,fsa,weights,cfg,out);
}
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