ParamData.cc
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/**
* ParamData.cc
*
* Created on: 17 oct. 2012
* Author: AKKA IS
*/
#include "ParamData.hh"
#include <string.h>
#include <stdlib.h>
#include <iostream>
using namespace log4cxx;
namespace AMDA {
namespace Parameters {
LoggerPtr ParamData::_logger(Logger::getLogger("AMDA-Kernel.ParamData"));
ParamData::ParamData() : _minSampling(0.0), _fillValue(NAN) {
}
ParamData::~ParamData() {
}
}
/* namespace Parameters */
} /* namespace AMDA */
const NotANumber notANumber;
const ElemNull elemNull;
#define GENARATED_SCALAIRE_IMPL(type, val) void operator <<(type &a, NotANumber /*b*/) {\
a = (type)val;\
}\
void operator <<(type &a, ElemNull /*b*/) {\
a = (type)0;\
}\
void applyFillValue(type &a, double fillVal) {\
if (a==fillVal) a << NotANumber();\
}
GENARATED_SCALAIRE_IMPL(short, SHRT_MIN)
GENARATED_SCALAIRE_IMPL(float, NAN)
GENARATED_SCALAIRE_IMPL(double, NAN)
GENARATED_SCALAIRE_IMPL(long double, NAN)
GENARATED_SCALAIRE_IMPL(int, INT_MIN)
GENARATED_SCALAIRE_IMPL(AMDA::Parameters::LogicalData, AMDA::Parameters::NaN)
#define GENARATED_VECTOR_IMPL(type, val) void operator <<(std::vector<type> &a, NotANumber /*b*/) {\
for(std::vector<type>::iterator it = a.begin(); it != a.end(); ++it) {\
*it = (type)val;\
}\
}\
void operator <<(std::vector<type> &a, ElemNull /*b*/) {\
for(std::vector<type>::iterator it = a.begin(); it != a.end(); ++it) {\
*it = (type)0;\
}\
}\
void applyFillValue(std::vector<type> &a, double fillVal) {\
for(std::vector<type>::iterator it = a.begin(); it != a.end(); ++it) {\
if (*it==fillVal) (*it) << NotANumber();\
}\
}
GENARATED_VECTOR_IMPL(short,SHRT_MIN)
GENARATED_VECTOR_IMPL(float, NAN)
GENARATED_VECTOR_IMPL(double, NAN)
GENARATED_VECTOR_IMPL(long double, NAN)
GENARATED_VECTOR_IMPL(int, INT_MIN)
GENARATED_VECTOR_IMPL(AMDA::Parameters::LogicalData, AMDA::Parameters::NaN)
#define GENARATED_TAB2D_IMPL(type, val) void operator <<(AMDA::Parameters::Tab2DData<type> &a, NotANumber /*b*/) {\
for(int i = 0; i < a.getDim1Size(); ++i) {\
for(int j = 0; j < a.getDim2Size(); ++j) {\
a[i][j] = (type)val;\
}\
}\
}\
void operator <<(AMDA::Parameters::Tab2DData<type> &a, ElemNull /*b*/) {\
for(int i = 0; i < a.getDim1Size(); ++i) {\
for(int j = 0; j < a.getDim2Size(); ++j) {\
a[i][j] = (type)0;\
}\
}\
}\
void applyFillValue(AMDA::Parameters::Tab2DData<type> &a, double fillVal) {\
for(int i = 0; i < a.getDim1Size(); ++i) {\
for(int j = 0; j < a.getDim2Size(); ++j) {\
if (a[i][j] == fillVal) a[i][j] << NotANumber();\
}\
}\
}
GENARATED_TAB2D_IMPL(short,SHRT_MIN)
GENARATED_TAB2D_IMPL(float, NAN)
GENARATED_TAB2D_IMPL(double, NAN)
GENARATED_TAB2D_IMPL(long double, NAN)
GENARATED_TAB2D_IMPL(int, INT_MIN)
GENARATED_TAB2D_IMPL(AMDA::Parameters::LogicalData, AMDA::Parameters::NaN)
bool isNAN(short pval){
return (pval == SHRT_MIN);
}
bool isNAN(float pval){
return isnan(pval);
}
bool isNAN(double pval){
return isnan(pval);
}
bool isNAN(long double pval){
return isnan(pval);
}
bool isNAN(int pval){
return (pval == INT_MIN);
}
bool isNAN(AMDA::Parameters::LogicalData pval){
return (pval == AMDA::Parameters::NaN);
}
bool isNAN(std::vector<short> pval){
for(auto subval : pval){
if(subval == SHRT_MIN){
return true;
}
}
return false;
}
bool isNAN(std::vector<float> pval){
for(auto subval : pval){
if(isnan(subval)){
return true;
}
}
return false;
}
bool isNAN(std::vector<double> pval){
for(auto subval : pval){
if(isnan(subval)){
return true;
}
}
return false;
}
bool isNAN(std::vector<long double> pval){
for(auto subval : pval){
if(isnan(subval)){
return true;
}
}
return false;
}
bool isNAN(std::vector<int> pval){
for(auto subval : pval){
if(subval == INT_MIN){
return true;
}
}
return false;
}
bool isNAN(std::vector<AMDA::Parameters::LogicalData> pval){
for(auto subval : pval){
if(subval == AMDA::Parameters::NaN){
return true;
}
}
return false;
}
bool isNAN(AMDA::Parameters::Tab2DData<short> pval){
for (int i = 0; i < pval.getDim1Size(); ++i)
for (int j = 0; j < pval.getDim2Size(); ++j)
if(pval[i][j] == SHRT_MIN)
return true;
return false;
}
bool isNAN(AMDA::Parameters::Tab2DData<float> pval){
for (int i = 0; i < pval.getDim1Size(); ++i)
for (int j = 0; j < pval.getDim2Size(); ++j)
if(isnan(pval[i][j]))
return true;
return false;
}
bool isNAN(AMDA::Parameters::Tab2DData<double> pval){
for (int i = 0; i < pval.getDim1Size(); ++i)
for (int j = 0; j < pval.getDim2Size(); ++j)
if(isnan(pval[i][j]))
return true;
return false;
}
bool isNAN(AMDA::Parameters::Tab2DData<long double> pval){
for (int i = 0; i < pval.getDim1Size(); ++i)
for (int j = 0; j < pval.getDim2Size(); ++j)
if(isnan(pval[i][j]))
return true;
return false;
}
bool isNAN(AMDA::Parameters::Tab2DData<int> pval){
for (int i = 0; i < pval.getDim1Size(); ++i)
for (int j = 0; j < pval.getDim2Size(); ++j)
if(pval[i][j] == INT_MIN)
return true;
return false;
}
bool isNAN(AMDA::Parameters::Tab2DData<AMDA::Parameters::LogicalData> pval){
for (int i = 0; i < pval.getDim1Size(); ++i)
for (int j = 0; j < pval.getDim2Size(); ++j)
if(pval[i][j] == AMDA::Parameters::NaN)
return true;
return false;
}
bool isApproximatelyEqual(double a, double b) {
return fabs(a - b) <= ( (fabs(a) < fabs(b) ? fabs(b) : fabs(a)) * 0.0001);
}