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MexValidation.h
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MexValidation.h
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/* This is a suite of C and C++ functions for type checking inputs to mex
* files and performing other helper actions when interfacing Matlab and C
* or C++ code.
*
*The following functions that can be used in both C and C++ programs:
*checkRealArray Gives an error if an array is not real, has
* more than two indices, or is empty.
*checkRealDoubleArray Gives an error if an array is not composed of
* real doubles, has more than two indices, or is
* empty.
*checkDoubleArray Gives an error if an array is not composed of
* doubles, has more than two indices, or is
* empty.
*checkRealDoubleHypermatrix This is the same as checkRealDoubleArray
* except it does not throw an error if the matrix
* has more than two indices.
*checkRealInt32Array Gives an error if an array is not composed of
* real int32_t values, has more than two indices,
* or is empty.
*checkInt32Array Gives an error if an array is not composed of
* int32_t values, has more than two indices, or
* is empty.
*verifySizeReal Verify that a Matlab matrix is 2D, has the
* desired dimensions, and is real.
*convert2DReal2DoubleMat Convert a Matlab matrix of real values for
* various Matlab data types to a Matlab matrix of
* doubles. The returned Matrix should be freed
* with mxDestroyArray. The input matrix is not
* modified.
*convert2DReal2SignedIntMat Convert a Matlab matrix of real values for
* various Matlab data types to a Matlab matrix of
* ints. The returned Matrix should be freed
* with mxDestroyArray. the input matrix is not
* modified.
*convert2DReal2UnsignedIntMat Convert a Matlab matrix of real values for
* various Matlab data types to a Matlab matrix of
* unsigned ints. The returned Matrix should be
* freed with mxDestroyArray. the input matrix is
* not modified.
*convert2DReal2SignedSizeMat Convert a Matlab matrix of real values for
* various Matlab data types to a Matlab matrix of
* ptrdiff_t. The returned Matrix should be
* freed with mxDestroyArray. the input matrix is
* not modified.
*convert2DReal2UnsignedSizeMat Convert a Matlab matrix of real values for
* various Matlab data types to a Matlab matrix of
* size_t. The returned Matrix should be
* freed with mxDestroyArray. the input matrix is
* not modified.
*getIntFromMatlab Turns a passed Matlab data type into a real
* integer. Provides an error if the Matlab data
* is of a type that can not be transformed into
* an integer or if it is complex.
*getSizeTFromMatlab Turns a passed Matlab data type into a
* positive, real size_t integer value. Provides
* an error if the Matlab data is of a type that
* can not be transformed into an size_t value or
* if it is negative or complex.
*getPtrDiffTFromMatlab Turns a passed Matlab data type into a real
* ptrdiff_t integer value. Provides
* an error if the Matlab data is of a type that
* can not be transformed into an ptrdiff_t value.
*copySizeTArrayFromMatlab Returns a copy of an array from Matlab as an
* array of size_t values and indicates the length
* of the array by modifying an input parameter.
* The array is allocated using mxAlloc and thus
* should be freed using mxFree.
*copyPtrDiffTArrayFromMatlab Returns a copy of an array from Matlab as an
* array of ptrdiff_t values and indicates the
* length of the array by modifying an input
* parameter. The array is allocated using
* mxAlloc and thus should be freed using mxFree.
*copyBoolArrayFromMatlab Returns a copy of an array from Matlab
* converted into boolean variables and indicates
* the length of the array by modifying an input
* parameter. The array is allocated using mxAlloc
* and thus should be freed using mxFree.
*getDoubleFromMatlab Turns a passed Matlab data type into a real
* double variable. Provides an error if the
* Matlab data is of a type that can not be
* transformed into a double or if it is
* complex.
*getBoolFromMatlab Turns a passed Matlab data type into a real
* boolean variable. Provides an error if the
* Matlab data is of a type that can not be
* transformed into a boolean or if it is
* complex.
*getInt32FromMatlab Turns a passed Matlab data type into an real
* int32_t variable. Provides an error if the
* Matlab data is of a type that can not be
* transformed into an int32_t or if it is
* complex.
*doubleMat2Matlab Convert an array or matrix of doubles into
* a matrix to be returned to Matlab.
*floatMat2MatlabDoubles Convert an array or matrix of single-precision
* floats into a matrix to be returned to Matlab
* as double floating point numbers (the default
* data format in Matlab).
*intMat2MatlabDoubles Convert an array or matrix of integers into
* a matrix to be returned to Matlab as double
* floating point numbers (the default data format
* in Matlab).
*int32Mat2MatlabDoubles Convert an array or matrix of int32_T values
* into a matrix to be returned to Matlab as
* double floating point numbers (the default data
* format in Matlab).
*sizeTMat2MatlabDoubles Convert an array or matrix of size_t values
* into a matrix to be returned to Matlab as
* double floating point numbers (the default data
* format in Matlab).
*ptrDiffTMat2MatlabDoubles Convert an array or matrix of ptrdiff_t values
* into a matrix to be returned to Matlab as
* double floating point numbers (the default data
* format in Matlab).
*boolMat2Matlab Convert an array or matrix of bool values into
* a matrix to be returned to Matlab (as type
* mxLogical).
*allocUnsignedSizeMatInMatlab Allocate a matrix for holding size_t values
* that can be used in Matlab.
*allocSignedSizeMatInMatlab Allocate a matrix for holding ptrdiff_t values
* that can be used in Matlab.
*allocUnsignedCharMatInMatlab Allocate a matrix for holding unsigned char
* values that can be used in Matlab.
*allocUnsignedIntMatInMatlab Allocate a matrix for holding unsigned int
* values that can be used in Matlab.
*allocSignedIntMatInMatlab Allocate a matrix for holding int values
* that can be used in Matlab.
*unsignedSizeMat2Matlab Convert an array or matrix of size_t values
* into a matrix to be returned by Matlab.
*unsignedCharMat2Matlab Convert an array or matrix of unsigned char
* values into a matrix to be returned by Matlab.
*signedSizeMat2Matlab Convert an array or matrix of ptrdiff_t values
* into a matrix to be returned to Matlab.
*getScalarMatlabClassConst Get a double scalar constant that is defined in
* a Matlab class.
*pointerIsAligned Determine whether a pointer is aligned to a
* certain number of bytes. This is useful if one
* wishes to use SIMD instructions in the
* processor,because Matlab does not specify that
* matrices will maintain a 16-byte (or other)
* alignment, which is generally necessary for
* such instructions to be particularly fast.
*
*The following functions are for use when interfacing C and C++ programs:
*ptr2Matlab Convert a pointer to a class instance into a
* data type that can be returned to Matlab so
* that the class can be used during another call
* to a mex function.
*Matlab2Ptr Convert a Matlab value obtained from ptr2Matlab
* back to a pointer to a C++ class.
*
*The following functions are only available in C++ as they use template
*classes:
*mat2MatlabDoubles Convert an array or matrix of some type to a
* matrix of doubles to be returned in Matlab. The
* components of the array must be convertible to
* doubles using the static_cast function. The
* use is the same as the type-specific functions
* such as intMat2MatlabDoubles.
*getComplexDoubleFromMatlab Given a scalar numeric data types in Matlab,
* return a complex<double> with the real and
* imaginary parts of the input. If the input was
* purely imaginary or real, then the
* corresponding part of the return value will be
* zero. This function provides an error if the
* data type is not a type that can be converted
* to a double or is not scalar.
*
*September 2020 David F. Crouse, Naval Research Laboratory, Washington D.C.
*/
/*(UNCLASSIFIED) DISTRIBUTION STATEMENT A. Approved for public release.*/
#ifndef MEXHELP
#define MEXHELP
#include "matrix.h"
#include "mex.h"
#ifdef __cplusplus
//For memcpy
#include <cstring>
//Defines the size_t and ptrdiff_t types
#include <cstddef>
#include <cstdint>
//For functions to import comples values.
#include <complex>
#else
//For memcpy
#include <string.h>
//Defines the size_t and ptrdiff_t types
#include <stddef.h>
#include <stdint.h>
#include <stdbool.h>
//This is needed for the bool type to be defined in C.
//C99 has stdbool, earlier versions do not.
#if __STDC_VERSION__>=199901L
//If using *NIX or Mac OS X, the functions should be defined without
//anything extra in math.h
#include<math.h>
#define fMax(a,b) fmax(a,b)
#define fMin(a,b) fmin(a,b)
#define isFinite(x) isfinite(x)
#define copySign(a,b) copysign(a,b)
#else
//These functions are defined in the C standard, but do not seem to be
//supported by Microsoft's compiler, so they are defined here with
//different capitalization.
double fMax(double a,double b) {
//Defined in the C99 standard, but not supported by Microsoft.
if(a>b) {
return a;
}
else {
return b;
}
}
double fMin(double a,double b) {
//Defined in the C99 standard, but not supported by Microsoft.
if(a>b) {
return b;
}
else {
return a;
}
}
//Microsoft does not declare isfinite and copysign (in the C99 standard),
//but it does declare _finite and _copysign in float.h for some
//inexplicable reason.
#include <float.h>
#define isFinite(x)_finite(x)
#define copySign(a,b)_copysign(a,b)
#endif
#endif
//void checkRealArray(const mxArray * const val);
//void checkRealDoubleArray(const mxArray * const val);
//void checkDoubleArray(const mxArray * const val);
//void checkRealDoubleHypermatrix(const mxArray * const val);
//void checkRealInt32Array(const mxArray * const val);
//void checkInt32Array(const mxArray * const val);
//void verifySizeReal(const size_t M, const size_t N, const mxArray * const val);
//mxArray *convert2DReal2DoubleMat(const mxArray * const val);
//mxArray *convert2DReal2SignedIntMat(const mxArray * const val);
//mxArray *convert2DReal2UnsignedIntMat(const mxArray * const val);
//mxArray *convert2DReal2SignedSizeMat(const mxArray * const val);
//mxArray *convert2DReal2UnsignedSizeMat(const mxArray * const val);
//int getIntFromMatlab(const mxArray * const val);
//size_t getSizeTFromMatlab(const mxArray * const val);
//ptrdiff_t getPtrDiffTFromMatlab(const mxArray * const val);
//size_t *copySizeTArrayFromMatlab(const mxArray * const val, size_t *arrayLen);
//ptrdiff_t *copyPtrDiffTArrayFromMatlab(const mxArray * const val, size_t *arrayLen);
//bool *copyBoolArrayFromMatlab(const mxArray * const val, size_t *arrayLen);
//double getDoubleFromMatlab(const mxArray * const val);
//bool getBoolFromMatlab(const mxArray * const val);
//int32_t getInt32FromMatlab(const mxArray * const val);
//mxArray *doubleMat2Matlab(const double * const arr,const size_t numRow, const size_t numCol);
//mxArray *floatMat2MatlabDoubles(const float * const arr,const size_t numRow, const size_t numCol);
//mxArray *intMat2MatlabDoubles(const int * const arr,const size_t numRow, const size_t numCol);
//mxArray *sizeTMat2MatlabDoubles(const size_t * const arr,const size_t numRow, const size_t numCol);
//mxArray *ptrDiffTMat2MatlabDoubles(const ptrdiff_t * const arr,const size_t numRow, const size_t numCol);
//mxArray *boolMat2Matlab(const bool * const arr,const size_t numRow, const size_t numCol);
//mxArray *allocUnsignedSizeMatInMatlab(const size_t numRow, const size_t numCol);
//mxArray *allocSignedSizeMatInMatlab(const size_t numRow, const size_t numCol);
//mxArray *allocUnsignedCharMatInMatlab(const size_t numRow, const size_t numCol);
//mxArray *allocUnsignedIntMatInMatlab(const size_t numRow, const size_t numCol);
//mxArray *allocSignedIntMatInMatlab(const size_t numRow, const size_t numCol);
//mxArray *unsignedSizeMat2Matlab(const size_t * const arr, const size_t numRow, const size_t numCol);
//mxArray *unsignedCharMat2Matlab(const unsigned char * const arr, const size_t numRow, const size_t numCol);
//mxArray *signedSizeMat2Matlab(const ptrdiff_t * const arr, const size_t numRow, const size_t numCol);
//double getScalarMatlabClassConst(const char * const className, const char * const constName);
//bool pointerIsAligned(const void *pointer, const size_t byteCount);
#ifdef __cplusplus
//One cannot use prototypes for template functions. The template C++-only
//functions are full implementations.
std::complex <double> getComplexDoubleFromMatlab(const mxArray * const val);
#endif
void checkRealArray(const mxArray * const val) {
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of doubles has complex components.");
}
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix is empty.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
}
void checkDoubleArray(const mxArray * const val) {
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix of doubles is empty.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
if(mxGetClassID(val)!=mxDOUBLE_CLASS) {
mexErrMsgTxt("A parameter that should be a real double is of a different data type.");
}
}
void checkRealDoubleArray(const mxArray * const val){
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of doubles has complex components.");
}
checkDoubleArray(val);
}
void checkRealDoubleHypermatrix(const mxArray * const val){
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of doubles has complex components.");
}
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix of doubles is empty.");
}
if(mxGetNumberOfDimensions(val)<1){
mexErrMsgTxt("A parameter has too few dimensions.");
}
if(mxGetClassID(val)!=mxDOUBLE_CLASS) {
mexErrMsgTxt("A parameter that should be a real double is of a different data type.");
}
}
void checkInt32Array(const mxArray * const val) {
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix of int32_t values is empty.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
if(mxGetClassID(val)!=mxINT32_CLASS) {
mexErrMsgTxt("A parameter that should be int32_t values is of a different data type.");
}
}
void checkRealInt32Array(const mxArray * const val) {
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of int32_t values has complex components.");
}
checkInt32Array(val);
}
void verifySizeReal(const size_t M, const size_t N, const mxArray * const val) {
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix has complex components.");
}
if(mxGetM(val)!=M||mxGetN(val)!=N) {
mexErrMsgTxt("A parameter has the wrong dimensionality.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
}
mxArray *convert2DReal2DoubleMat(const mxArray * const val) {
mxArray *retMat;
double *retData;
size_t M,N,numElements,i;
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of doubles has complex components.");
}
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix of doubles is empty.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
M=mxGetM(val);
N=mxGetN(val);
numElements=M*N;
retMat=mxCreateDoubleMatrix(M,N,mxREAL);
retData=mxGetDoubles(retMat);
switch(mxGetClassID(val)){
case mxCHAR_CLASS:
{
mxChar *data=mxGetChars(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxLOGICAL_CLASS:
{
mxLogical *data=mxGetLogicals(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxDOUBLE_CLASS:
{
double *data=mxGetDoubles(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxSINGLE_CLASS:
{
float *data=mxGetSingles(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxINT8_CLASS:
{
int8_T *data=mxGetInt8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxUINT8_CLASS:
{
uint8_T *data=mxGetUint8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxINT16_CLASS:
{
int16_T *data=mxGetInt16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxUINT16_CLASS:
{
uint16_T *data=mxGetUint16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxINT32_CLASS:
{
int32_T *data=mxGetInt32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxUINT32_CLASS:
{
uint32_T *data=mxGetUint32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxINT64_CLASS:
{
int64_T *data=mxGetInt64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxUINT64_CLASS:
{
uint64_T *data=mxGetUint64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(double)data[i];
}
break;
}
case mxUNKNOWN_CLASS:
case mxCELL_CLASS:
case mxSTRUCT_CLASS:
case mxVOID_CLASS:
case mxFUNCTION_CLASS:
case mxOPAQUE_CLASS:
case mxOBJECT_CLASS:
default:
mexErrMsgTxt("A parameter is of a data type that cannot be used.");
}
return retMat;
}
mxArray *allocSignedIntMatInMatlab(const size_t numRow, const size_t numCol){
mxArray *retMat=NULL;
switch(sizeof(int)) {
case 4:
retMat=mxCreateNumericMatrix(numRow,numCol,mxINT32_CLASS,mxREAL);
break;
case 8:
retMat=mxCreateNumericMatrix(numRow,numCol,mxINT64_CLASS,mxREAL);
break;
default:
mexErrMsgTxt("The integer size of this computer is neither 64 nor 32 bit. Thus, the Matlab data type for pointer conversion could not be determined.");
}
return retMat;
}
mxArray *convert2DReal2SignedIntMat(const mxArray * const val) {
mxArray *retMat;
int *retData;
size_t M,N,numElements,i;
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of doubles has complex components.");
}
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix of doubles is empty.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
M=mxGetM(val);
N=mxGetN(val);
numElements=M*N;
retMat=allocSignedIntMatInMatlab(M,N);
if(sizeof(int)==4) {//32 bit
retData=(int*)mxGetInt32s(retMat);
} else {//64 bit
retData=(int*)mxGetInt64s(retMat);
}
switch(mxGetClassID(val)){
case mxCHAR_CLASS:
{
mxChar *data=mxGetChars(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxLOGICAL_CLASS:
{
mxLogical *data=mxGetLogicals(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxDOUBLE_CLASS:
{
double *data=mxGetDoubles(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxSINGLE_CLASS:
{
float *data=mxGetSingles(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxINT8_CLASS:
{
int8_T *data=mxGetInt8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxUINT8_CLASS:
{
uint8_T *data=mxGetUint8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxINT16_CLASS:
{
int16_T *data=mxGetInt16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxUINT16_CLASS:
{
uint16_T *data=mxGetUint16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxINT32_CLASS:
{
int32_T *data=mxGetInt32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxUINT32_CLASS:
{
uint32_T *data=mxGetUint32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxINT64_CLASS:
{
int64_T *data=mxGetInt64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxUINT64_CLASS:
{
uint64_T *data=mxGetUint64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(int)data[i];
}
break;
}
case mxUNKNOWN_CLASS:
case mxCELL_CLASS:
case mxSTRUCT_CLASS:
case mxVOID_CLASS:
case mxFUNCTION_CLASS:
case mxOPAQUE_CLASS:
case mxOBJECT_CLASS:
default:
mexErrMsgTxt("A parameter is of a data type that can not be used.");
}
return retMat;
}
mxArray *allocUnsignedIntMatInMatlab(const size_t numRow, const size_t numCol) {
mxArray *retMat=NULL;
switch(sizeof(unsigned int)) {
case 4:
retMat = mxCreateNumericMatrix(numRow,numCol,mxUINT32_CLASS,mxREAL);
break;
case 8:
retMat = mxCreateNumericMatrix(numRow,numCol,mxUINT64_CLASS,mxREAL);
break;
default:
mexErrMsgTxt("The integer size of this computer is neither 64 nor 32 bit. Thus, the Matlab data type for pointer conversion could not be determined.");
}
return retMat;
}
mxArray *convert2DReal2UnsignedIntMat(const mxArray * const val) {
mxArray *retMat;
unsigned int *retData;
size_t M,N,numElements,i;
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of doubles has complex components.");
}
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix of doubles is empty.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
M=mxGetM(val);
N=mxGetN(val);
numElements=M*N;
retMat=allocUnsignedIntMatInMatlab(M,N);
if(sizeof(unsigned int)==4) {//32 bit
retData=(unsigned int*)mxGetUint32s(retMat);
} else {//64 bit
retData=(unsigned int*)mxGetUint64s(retMat);
}
switch(mxGetClassID(val)){
case mxCHAR_CLASS:
{
mxChar *data=mxGetChars(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxLOGICAL_CLASS:
{
mxLogical *data=mxGetLogicals(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxDOUBLE_CLASS:
{
double *data=mxGetDoubles(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxSINGLE_CLASS:
{
float *data=mxGetSingles(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxINT8_CLASS:
{
int8_T *data=mxGetInt8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxUINT8_CLASS:
{
uint8_T *data=mxGetUint8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxINT16_CLASS:
{
int16_T *data=mxGetInt16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxUINT16_CLASS:
{
uint16_T *data=mxGetUint16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxINT32_CLASS:
{
int32_T *data=mxGetInt32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxUINT32_CLASS:
{
uint32_T *data=mxGetUint32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxINT64_CLASS:
{
int64_T *data=mxGetInt64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxUINT64_CLASS:
{
uint64_T *data=mxGetUint64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(unsigned int)data[i];
}
break;
}
case mxUNKNOWN_CLASS:
case mxCELL_CLASS:
case mxSTRUCT_CLASS:
case mxVOID_CLASS:
case mxFUNCTION_CLASS:
case mxOPAQUE_CLASS:
case mxOBJECT_CLASS:
default:
mexErrMsgTxt("A parameter is of a data type that can not be used.");
}
return retMat;
}
mxArray *allocSignedSizeMatInMatlab(const size_t numRow, const size_t numCol) {
mxArray *retMat=NULL;
switch(sizeof(ptrdiff_t)) {
case 4:
retMat = mxCreateNumericMatrix(numRow,numCol,mxINT32_CLASS,mxREAL);
break;
case 8:
retMat = mxCreateNumericMatrix(numRow,numCol,mxINT64_CLASS,mxREAL);
break;
default:
mexErrMsgTxt("The integer size of this computer is neither 64 nor 32 bit. Thus, the Matlab data type for pointer conversion could not be determined.");
}
return retMat;
}
mxArray *convert2DReal2SignedSizeMat(const mxArray * const val) {
mxArray *retMat;
ptrdiff_t *retData;
size_t M,N,numElements,i;
if(mxIsComplex(val)==true) {
mexErrMsgTxt("A parameter that should be real matrix of doubles has complex components.");
}
if(mxIsEmpty(val)) {
mexErrMsgTxt("A parameter that should be real matrix of doubles is empty.");
}
if(mxGetNumberOfDimensions(val)>2){
mexErrMsgTxt("A parameter has too many dimensions.");
}
M=mxGetM(val);
N=mxGetN(val);
numElements=M*N;
retMat=allocSignedSizeMatInMatlab(M,N);
if(sizeof(ptrdiff_t)==4) {//32 bit
retData=(ptrdiff_t*)mxGetInt32s(retMat);
} else {//64 bit
retData=(ptrdiff_t*)mxGetInt64s(retMat);
}
switch(mxGetClassID(val)){
case mxCHAR_CLASS:
{
mxChar *data=mxGetChars(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxLOGICAL_CLASS:
{
mxLogical *data=mxGetLogicals(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxDOUBLE_CLASS:
{
double *data=mxGetDoubles(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxSINGLE_CLASS:
{
float *data=mxGetSingles(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxINT8_CLASS:
{
int8_T *data=mxGetInt8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxUINT8_CLASS:
{
uint8_T *data=mxGetUint8s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxINT16_CLASS:
{
int16_T *data=mxGetInt16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxUINT16_CLASS:
{
uint16_T *data=mxGetUint16s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxINT32_CLASS:
{
int32_T *data=mxGetInt32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxUINT32_CLASS:
{
uint32_T *data=mxGetUint32s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxINT64_CLASS:
{
int64_T *data=mxGetInt64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxUINT64_CLASS:
{
uint64_T *data=mxGetUint64s(val);
for(i=0;i<numElements;i++) {
retData[i]=(ptrdiff_t)data[i];
}
break;
}
case mxUNKNOWN_CLASS:
case mxCELL_CLASS:
case mxSTRUCT_CLASS:
case mxVOID_CLASS:
case mxFUNCTION_CLASS:
case mxOPAQUE_CLASS:
case mxOBJECT_CLASS:
default:
mexErrMsgTxt("A parameter is of a data type that can not be used.");
}
return retMat;
}
mxArray *allocUnsignedSizeMatInMatlab(const size_t numRow, const size_t numCol) {
mxArray *retMat=NULL;
switch(sizeof(size_t)) {
case 4:
retMat = mxCreateNumericMatrix(numRow,numCol,mxUINT32_CLASS,mxREAL);
break;
case 8:
retMat = mxCreateNumericMatrix(numRow,numCol,mxUINT64_CLASS,mxREAL);
break;
default:
mexErrMsgTxt("The integer size of this computer is neither 64 nor 32 bit. Thus, the Matlab data type for pointer conversion could not be determined.");
}
return retMat;
}
mxArray *convert2DReal2UnsignedSizeMat(const mxArray * const val) {
mxArray *retMat;
size_t *retData;
size_t M,N,numElements,i;
if(mxIsComplex(val)==true) {