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/*
* Copyright (c) 2009 Samit Basu
*
* 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 "Operators.hpp"
#include "IEEEFP.hpp"
#include "Math.hpp"
#include "Complex.hpp"
// The LessThan function is called by Min
struct OpLessThan {
template <typename T>
static inline T func(const T& v1, const T& v2) {
if (IsNaN(v1)) return v2;
if (IsNaN(v2)) return v1;
return (v1 < v2) ? v1 : v2;
}
template <typename T>
static inline void func(const T& ar, const T& ai,
const T& br, const T& bi,
T& cr, T& ci) {
if (IsNaN(ar) || IsNaN(ai)) {
cr = br; ci = bi;
return;
}
if (IsNaN(br) || IsNaN(bi)) {
cr = ar; ci = ai;
return;
}
if (complex_lt(ar,ai,br,bi)) {
cr = ar; ci = ai;
} else {
cr = br; ci = bi;
}
}
};
struct OpVecMin {
template <typename T>
static inline void func(ConstSparseIterator<T> & src,
SparseSlice<T>& dest,
SparseSlice<index_t>& dest_index) {
bool init = false;
T result = 0;
index_t count = 0;
index_t zero_index = 0;
index_t index = 0;
index_t col = src.col();
while (src.col() == col) {
count++;
if (src.row() != count) zero_index = src.row();
if (!IsNaN(src.value())) {
if (!init) {
init = true;
result = src.value();
index = src.row();
} else {
if (src.value() < result) {
index = src.row();
result = src.value();
}
}
}
src.next();
}
if (count < src.rows()) {
if (!init) {
result = 0;
index = zero_index;
} else {
if (result > 0) {
result = 0;
index = zero_index;
}
}
}
dest[1] = result;
dest_index[1] = index;
}
template <typename T>
static inline void func(ConstComplexSparseIterator<T> & src,
SparseSlice<T>& dest_real,
SparseSlice<T>& dest_imag,
SparseSlice<index_t>& dest_index) {
bool init = false;
T result_real = 0;
T result_imag = 0;
index_t count = 0;
index_t zero_index = 0;
index_t index = 0;
index_t col = src.col();
while (src.col() == col) {
count++;
if (src.row() != count) zero_index = src.row();
if (!IsNaN(src.realValue()) && !IsNaN(src.imagValue())) {
if (!init) {
init = true;
result_real = src.realValue();
result_imag = src.imagValue();
index = src.row();
} else
if (complex_lt(src.realValue(),src.imagValue(),
result_real,result_imag)) {
result_real = src.realValue();
result_imag = src.imagValue();
index = src.row();
}
}
src.next();
}
if (count < src.rows()) {
result_real = 0;
result_imag = 0;
index = zero_index;
}
dest_real[1] = result_real;
dest_imag[1] = result_imag;
dest_index[1] = index;
}
template <typename T>
static inline void func(const BasicArray<T> & src,
BasicArray<T>& dest,
BasicArray<index_t>& dest_index) {
bool init = false;
T result = 0;
index_t index = 0;
for (index_t i=1;i<=src.length();i++) {
if (!IsNaN(src[i])) {
if (!init) {
init = true;
result = src[i];
index = i;
} else {
if (src[i] < result) {
index = i;
result = src[i];
}
}
}
}
if (!init) {
result = NaN();
index = 1;
}
dest[1] = result;
dest_index[1] = index;
}
template <typename T>
static inline void func(const BasicArray<T> & src_real,
const BasicArray<T> & src_imag,
BasicArray<T>& dest_real,
BasicArray<T>& dest_imag,
BasicArray<index_t>& dest_index) {
bool init = false;
T result_real = 0;
T result_imag = 0;
index_t index = 0;
for (index_t i=1;i<=src_real.length();i++) {
if (!IsNaN(src_real[i]) && !IsNaN(src_imag[i])) {
if (!init) {
init = true;
result_real = src_real[i];
result_imag = src_imag[i];
index = i;
} else {
if (complex_lt(src_real[i],src_imag[i],
result_real,result_imag)) {
result_real = src_real[i];
result_imag = src_imag[i];
index = i;
}
}
}
}
if (!init) {
result_real = NaN();
result_imag = NaN();
index = 1;
}
dest_real[1] = result_real;
dest_imag[1] = result_imag;
dest_index[1] = index;
}
};
//@@Signature
//function min MinFunction jitsafe
//input x z dim
//output y n
//DOCBLOCK elementary_min
ArrayVector MinFunction(int nargout, const ArrayVector& arg) {
// Get the data argument
if (arg.size() < 1 || arg.size() > 3)
throw Exception("min requires at least one argument, and at most three arguments");
// Determine if this is a call to the Min function or the LessThan function
// (the internal version of the two array min function)
if (arg.size() == 2) {
Array ret(DotOp<OpLessThan>(arg[0],arg[1]));
if ((arg[0].dataClass() == Bool) && (arg[1].dataClass() == Bool))
return ArrayVector(ret.toClass(Bool));
return ArrayVector(ret);
}
int dim;
if (arg.size() > 2)
dim = arg[2].asInteger()-1;
else
dim = arg[0].dimensions().firstNonsingular();
if (arg[0].isEmpty()) {
NTuple dims(arg[0].dimensions());
if (dims == NTuple(0,0)) return ArrayVector(arg[0]);
if (dims[dim] != 0)
dims[dim] = 1;
Array ret(arg[0].dataClass(),dims);
ArrayVector p;
p.push_back(ret); p.push_back(ret);
return p;
}
return BiVectorOp<OpVecMin>(arg[0],1,dim);
}
JitScalarFunc2(min,OpLessThan::func);
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