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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 (int 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;
}
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