65 lines
2.2 KiB
C++
65 lines
2.2 KiB
C++
/*
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----
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This file is part of SECONDO.
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Copyright (C) 2020,
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Faculty of Mathematics and Computer Science,
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Database Systems for New Applications.
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SECONDO is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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SECONDO is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with SECONDO; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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----
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//[$][\$]
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//[_][\_]
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*/
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#ifndef TIMESERIESDISTANCE_H
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#define TIMESERIESDISTANCE_H
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#include "Stream.h"
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#include "timeseriesdistanceopli.h"
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class TimeSeriesDistance{
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public:
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CcReal distance(Stream<Tuple>*, Stream<Tuple>*);
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static Operator distanceOp(std::string, std::string, int, int, ListExpr );
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static Operator distanceOpFun(std::string,std::string, int, int, ListExpr);
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static ListExpr distanceOpTypeMap(ListExpr);
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static int timeSeriesDistanceValueMapping(Word* args, Word& result,
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int message, Word& local, Supplier s);
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static Operator distanceFunOp(std::string, std::string, int, int, ListExpr);
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static ListExpr distanceOpFunTypeMap(ListExpr);
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static int timeSeriesDistanceFunOpValueMapping(Word* args, Word& result,
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int message, Word& local, Supplier s);
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private:
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enum Norm {Manhattan, Euklidian, Maximum};
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NList checkTSTupleStream(ListExpr&);
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double manhattanDistance(std::list<double>&, std::list<double>&);
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double euklidianDistance(std::list<double>&, std::list<double>&);
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double maximumDistance(std::list<double>&, std::list<double>&);
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double computePointDistance(std::list<double>&, std::list<double>&, Norm);
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ListExpr appendNumericIndices(NList ts1, NList ts2);
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static int openFunStream(Word *args, Word &local,
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TimeSeriesDistanceOpLI* li);
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};
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#endif // TIMESERIESDISTANCE_H
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