Welcome to mirror list, hosted at ThFree Co, Russian Federation.

github.com/moses-smt/giza-pp.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat (limited to 'mkcls-v2/PopOptimization.cpp')
-rw-r--r--mkcls-v2/PopOptimization.cpp105
1 files changed, 105 insertions, 0 deletions
diff --git a/mkcls-v2/PopOptimization.cpp b/mkcls-v2/PopOptimization.cpp
new file mode 100644
index 0000000..2e65a2c
--- /dev/null
+++ b/mkcls-v2/PopOptimization.cpp
@@ -0,0 +1,105 @@
+/*
+
+Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och
+
+mkcls - a program for making word classes .
+
+This program is free software; you can redistribute it and/or
+modify it under the terms of the GNU General Public License
+as published by the Free Software Foundation; either version 2
+of the License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License
+along with this program; if not, write to the Free Software
+Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
+USA.
+
+*/
+
+
+
+
+#include "PopOptimization.h"
+#include "ProblemTest.h"
+
+
+int compareProbAndOpt(const void *p,const void *j)
+{
+ double a=((ProbAndOpt *)p)->prob->value();
+ double b=((ProbAndOpt *)j)->prob->value();
+ if(a==b)
+ return 0;
+ if(a<b)
+ return -1;
+ else
+ return +1;
+}
+bool operator<(const ProbAndOpt&a, const ProbAndOpt&b)
+ {
+ return a.prob->value()<b.prob->value();
+ }
+bool operator==(const ProbAndOpt&a, const ProbAndOpt&b)
+ {
+ return a.prob->value()==b.prob->value();
+ }
+
+ostream& operator<<(ostream&o , const ProbAndOpt&){return o;}
+istream& operator>>(istream&i , ProbAndOpt&){return i;}
+
+
+
+PopOptimization::PopOptimization(Problem &p,int verf,int anz)
+: probandopt(anz),initialisiert(0),verfahren(verf)
+{
+ originalProblem = &p;
+}
+
+
+int PopOptimization::size()
+{
+ return probandopt.size();
+}
+
+Problem *PopOptimization::problem(int i)
+{
+ assert(initialisiert);
+ return probandopt[i].prob;
+}
+
+Optimization *PopOptimization::optimization(int i)
+{
+ assert(initialisiert);
+ return probandopt[i].opt;
+}
+
+void PopOptimization::zInitialize()
+{
+ int i;
+ zufallSeed();
+ for(i=0;i<size();i++)
+ {
+ probandopt[i].prob=originalProblem->makeEqualProblem();
+ probandopt[i].prob->initialize();
+ }
+
+ zufallSeed();
+ for(i=0;i<size();i++)
+ probandopt[i].opt=(Optimization *)genIterOptimizer(verfahren,
+ *(probandopt[i].prob),-1);
+
+ initialisiert=1;
+}
+
+
+void PopOptimization::sort()
+{
+ assert(initialisiert);
+
+ probandopt.sort(size());
+}
+