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-rw-r--r--training/dpmert/mr_dpmert_map.cc112
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diff --git a/training/dpmert/mr_dpmert_map.cc b/training/dpmert/mr_dpmert_map.cc
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+++ b/training/dpmert/mr_dpmert_map.cc
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+#include <sstream>
+#include <iostream>
+#include <fstream>
+#include <vector>
+
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "ns.h"
+#include "ns_docscorer.h"
+#include "ces.h"
+#include "filelib.h"
+#include "stringlib.h"
+#include "sparse_vector.h"
+#include "mert_geometry.h"
+#include "inside_outside.h"
+#include "error_surface.h"
+#include "b64tools.h"
+#include "hg_io.h"
+
+using namespace std;
+namespace po = boost::program_options;
+
+void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+ po::options_description opts("Configuration options");
+ opts.add_options()
+ ("reference,r",po::value<vector<string> >(), "[REQD] Reference translation (tokenized text)")
+ ("source,s",po::value<string>(), "Source file (ignored, except for AER)")
+ ("evaluation_metric,m",po::value<string>()->default_value("ibm_bleu"), "Evaluation metric being optimized")
+ ("input,i",po::value<string>()->default_value("-"), "Input file to map (- is STDIN)")
+ ("help,h", "Help");
+ po::options_description dcmdline_options;
+ dcmdline_options.add(opts);
+ po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
+ bool flag = false;
+ if (!conf->count("reference")) {
+ cerr << "Please specify one or more references using -r <REF.TXT>\n";
+ flag = true;
+ }
+ if (flag || conf->count("help")) {
+ cerr << dcmdline_options << endl;
+ exit(1);
+ }
+}
+
+bool ReadSparseVectorString(const string& s, SparseVector<double>* v) {
+#if 0
+ // this should work, but untested.
+ std::istringstream i(s);
+ i>>*v;
+#else
+ vector<string> fields;
+ Tokenize(s, ';', &fields);
+ if (fields.empty()) return false;
+ for (unsigned i = 0; i < fields.size(); ++i) {
+ vector<string> pair(2);
+ Tokenize(fields[i], '=', &pair);
+ if (pair.size() != 2) {
+ cerr << "Error parsing vector string: " << fields[i] << endl;
+ return false;
+ }
+ v->set_value(FD::Convert(pair[0]), atof(pair[1].c_str()));
+ }
+ return true;
+#endif
+}
+
+int main(int argc, char** argv) {
+ po::variables_map conf;
+ InitCommandLine(argc, argv, &conf);
+ const string evaluation_metric = conf["evaluation_metric"].as<string>();
+ EvaluationMetric* metric = EvaluationMetric::Instance(evaluation_metric);
+ DocumentScorer ds(metric, conf["reference"].as<vector<string> >());
+ cerr << "Loaded " << ds.size() << " references for scoring with " << evaluation_metric << endl;
+ Hypergraph hg;
+ string last_file;
+ ReadFile in_read(conf["input"].as<string>());
+ istream &in=*in_read.stream();
+ while(in) {
+ string line;
+ getline(in, line);
+ if (line.empty()) continue;
+ istringstream is(line);
+ int sent_id;
+ string file, s_origin, s_direction;
+ // path-to-file (JSON) sent_ed starting-point search-direction
+ is >> file >> sent_id >> s_origin >> s_direction;
+ SparseVector<double> origin;
+ ReadSparseVectorString(s_origin, &origin);
+ SparseVector<double> direction;
+ ReadSparseVectorString(s_direction, &direction);
+ // cerr << "File: " << file << "\nDir: " << direction << "\n X: " << origin << endl;
+ if (last_file != file) {
+ last_file = file;
+ ReadFile rf(file);
+ HypergraphIO::ReadFromJSON(rf.stream(), &hg);
+ }
+ const ConvexHullWeightFunction wf(origin, direction);
+ const ConvexHull hull = Inside<ConvexHull, ConvexHullWeightFunction>(hg, NULL, wf);
+
+ ErrorSurface es;
+ ComputeErrorSurface(*ds[sent_id], hull, &es, metric, hg);
+ //cerr << "Viterbi envelope has " << ve.size() << " segments\n";
+ // cerr << "Error surface has " << es.size() << " segments\n";
+ string val;
+ es.Serialize(&val);
+ cout << 'M' << ' ' << s_origin << ' ' << s_direction << '\t';
+ B64::b64encode(val.c_str(), val.size(), &cout);
+ cout << endl << flush;
+ }
+ return 0;
+}