427 lines
		
	
	
		
			14 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			427 lines
		
	
	
		
			14 KiB
		
	
	
	
		
			C++
		
	
	
/* ----------------------------------------------------------------------------
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 * GTSAM Copyright 2010, Georgia Tech Research Corporation, 
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 * Atlanta, Georgia 30332-0415
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 * All Rights Reserved
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 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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 * See LICENSE for the license information
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 * -------------------------------------------------------------------------- */
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/**
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 * @file matlab.h
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 * @brief header file to be included in MATLAB wrappers
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 * @date 2008
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 * @author Frank Dellaert
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 * @author Alex Cunningham
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 * @author Andrew Melim
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 * @author Richard Roberts
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 *
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 * wrapping and unwrapping is done using specialized templates, see
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 * http://www.cplusplus.com/doc/tutorial/templates.html
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 */
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#include <gtsam/base/Vector.h>
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#include <gtsam/base/Matrix.h>
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using gtsam::Vector;
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using gtsam::Matrix;
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extern "C" {
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#include <mex.h>
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}
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#include <boost/shared_ptr.hpp>
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#include <boost/make_shared.hpp>
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#include <boost/foreach.hpp>
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#include <list>
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#include <string>
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#include <sstream>
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#include <typeinfo>
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#include <set>
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#include <streambuf>
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using namespace std;
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using namespace boost; // not usual, but for conciseness of generated code
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// start GTSAM Specifics /////////////////////////////////////////////////
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// to enable Matrix and Vector constructor for SharedGaussian:
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#define GTSAM_MAGIC_GAUSSIAN
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// end GTSAM Specifics /////////////////////////////////////////////////
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#if defined(__LP64__) || defined(_WIN64)
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// 64-bit
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#define mxUINT32OR64_CLASS mxUINT64_CLASS
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#else
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#define mxUINT32OR64_CLASS mxUINT32_CLASS
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#endif
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// "Unique" key to signal calling the matlab object constructor with a raw pointer
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// to a shared pointer of the same C++ object type as the MATLAB type.
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// Also present in utilities.h
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static const uint64_t ptr_constructor_key =
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  (uint64_t('G') << 56) |
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  (uint64_t('T') << 48) |
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  (uint64_t('S') << 40) |
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  (uint64_t('A') << 32) |
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  (uint64_t('M') << 24) |
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  (uint64_t('p') << 16) |
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  (uint64_t('t') << 8) |
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  (uint64_t('r'));
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//*****************************************************************************
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// Utilities
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//*****************************************************************************
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void error(const char* str) {
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  mexErrMsgIdAndTxt("wrap:error", str);
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}
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mxArray *scalar(mxClassID classid) {
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  mwSize dims[1]; dims[0]=1;
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  return mxCreateNumericArray(1, dims, classid, mxREAL);
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}
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void checkScalar(const mxArray* array, const char* str) {
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  int m = mxGetM(array), n = mxGetN(array);
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  if (m!=1 || n!=1)
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    mexErrMsgIdAndTxt("wrap: not a scalar in ", str);
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}
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// Replacement streambuf for cout that writes to the MATLAB console
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// Thanks to http://stackoverflow.com/a/249008
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class mstream : public std::streambuf {
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protected:
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  virtual std::streamsize xsputn(const char *s, std::streamsize n) {
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    mexPrintf("%.*s",n,s);
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    return n;
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  }
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  virtual int overflow(int c = EOF) {
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    if (c != EOF) {
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      mexPrintf("%.1s",&c);
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    }
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    return 1;
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  }
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};
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//*****************************************************************************
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// Check arguments
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//*****************************************************************************
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void checkArguments(const string& name, int nargout, int nargin, int expected) {
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  stringstream err; 
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  err << name << " expects " << expected << " arguments, not " << nargin;
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  if (nargin!=expected)
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    error(err.str().c_str());
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}
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//*****************************************************************************
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// wrapping C++ basis types in MATLAB arrays
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//*****************************************************************************
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// default wrapping throws an error: only basis types are allowed in wrap
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template <typename Class>
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mxArray* wrap(const Class& value) {
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  error("wrap internal error: attempted wrap of invalid type");
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  return 0;
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}
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// specialization to string
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// wraps into a character array
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template<>
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mxArray* wrap<string>(const string& value) {
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  return mxCreateString(value.c_str());
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}
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// specialization to char
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template<>
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mxArray* wrap<char>(const char& value) {
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  mxArray *result = scalar(mxUINT32OR64_CLASS);
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  *(char*)mxGetData(result) = value;
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  return result;
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}
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// specialization to unsigned char
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template<>
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mxArray* wrap<unsigned char>(const unsigned char& value) {
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  mxArray *result = scalar(mxUINT32OR64_CLASS);
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  *(unsigned char*)mxGetData(result) = value;
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  return result;
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}
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// specialization to bool
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template<>
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mxArray* wrap<bool>(const bool& value) {
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  mxArray *result = scalar(mxUINT32OR64_CLASS);
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  *(bool*)mxGetData(result) = value;
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  return result;
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}
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// specialization to size_t
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template<>
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mxArray* wrap<size_t>(const size_t& value) {
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  mxArray *result = scalar(mxUINT32OR64_CLASS);
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  *(size_t*)mxGetData(result) = value;
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  return result;
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}
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// specialization to int
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template<>
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mxArray* wrap<int>(const int& value) {
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  mxArray *result = scalar(mxUINT32OR64_CLASS);
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  *(int*)mxGetData(result) = value;
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  return result;
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}
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// specialization to double -> just double
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template<>
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mxArray* wrap<double>(const double& value) {
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  return mxCreateDoubleScalar(value);
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}
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// wrap a const Eigen vector into a double vector
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mxArray* wrap_Vector(const gtsam::Vector& v) {
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  int m = v.size();
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  mxArray *result = mxCreateDoubleMatrix(m, 1, mxREAL);
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  double *data = mxGetPr(result);
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  for (int i=0;i<m;i++) data[i]=v(i);
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  return result;
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}
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// specialization to Eigen vector -> double vector
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template<>
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mxArray* wrap<gtsam::Vector >(const gtsam::Vector& v) {
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  return wrap_Vector(v);
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}
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// wrap a const Eigen MATRIX into a double matrix
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mxArray* wrap_Matrix(const gtsam::Matrix& A) {
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  int m = A.rows(), n = A.cols();
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#ifdef DEBUG_WRAP
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  mexPrintf("wrap_Matrix called with A = \n", m,n);
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  gtsam::print(A);
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#endif
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  mxArray *result = mxCreateDoubleMatrix(m, n, mxREAL);
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  double *data = mxGetPr(result);
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  // converts from column-major to row-major
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  for (int j=0;j<n;j++) for (int i=0;i<m;i++,data++) *data = A(i,j);
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  return result;
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}
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// specialization to Eigen MATRIX -> double matrix
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template<>
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mxArray* wrap<gtsam::Matrix >(const gtsam::Matrix& A) {
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  return wrap_Matrix(A);
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}
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//*****************************************************************************
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// unwrapping MATLAB arrays into C++ basis types
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//*****************************************************************************
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// default unwrapping throws an error
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// as wrap only supports passing a reference or one of the basic types
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template <typename T>
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T unwrap(const mxArray* array) {
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  error("wrap internal error: attempted unwrap of invalid type");
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}
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// specialization to string
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// expects a character array
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// Warning: relies on mxChar==char
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template<>
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string unwrap<string>(const mxArray* array) {
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  char *data = mxArrayToString(array);
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  if (data==NULL) error("unwrap<string>: not a character array");
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  string str(data);
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  mxFree(data);
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  return str;
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}
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// Check for 64-bit, as Mathworks says mxGetScalar only good for 32 bit
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template <typename T>
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T myGetScalar(const mxArray* array) {
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  switch (mxGetClassID(array)) {
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    case mxINT64_CLASS:
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      return (T) *(int64_t*) mxGetData(array);
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    case mxUINT64_CLASS:
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      return (T) *(uint64_t*) mxGetData(array);
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    default:
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      // hope for the best!
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      return (T) mxGetScalar(array);
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  }
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}
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// specialization to bool
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template<>
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bool unwrap<bool>(const mxArray* array) {
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  checkScalar(array,"unwrap<bool>");
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  return myGetScalar<bool>(array);
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}
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// specialization to char
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template<>
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char unwrap<char>(const mxArray* array) {
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  checkScalar(array,"unwrap<char>");
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  return myGetScalar<char>(array);
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}
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// specialization to unsigned char
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template<>
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unsigned char unwrap<unsigned char>(const mxArray* array) {
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  checkScalar(array,"unwrap<unsigned char>");
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  return myGetScalar<unsigned char>(array);
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}
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// specialization to int
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template<>
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int unwrap<int>(const mxArray* array) {
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  checkScalar(array,"unwrap<int>");
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  return myGetScalar<int>(array);
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}
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// specialization to size_t
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template<>
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size_t unwrap<size_t>(const mxArray* array) {
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  checkScalar(array, "unwrap<size_t>");
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  return myGetScalar<size_t>(array);
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}
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// specialization to double
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template<>
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double unwrap<double>(const mxArray* array) {
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  checkScalar(array,"unwrap<double>");
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  return myGetScalar<double>(array);
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}
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// specialization to Eigen vector
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template<>
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gtsam::Vector unwrap< gtsam::Vector >(const mxArray* array) {
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  int m = mxGetM(array), n = mxGetN(array);
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  if (mxIsDouble(array)==false || n!=1) error("unwrap<vector>: not a vector");
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#ifdef DEBUG_WRAP
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  mexPrintf("unwrap< gtsam::Vector > called with %dx%d argument\n", m,n);
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#endif
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  double* data = (double*)mxGetData(array);
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  gtsam::Vector v(m);
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  for (int i=0;i<m;i++,data++) v(i) = *data;
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#ifdef DEBUG_WRAP
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  gtsam::print(v);
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#endif
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  return v;
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}
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// specialization to Eigen matrix
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template<>
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gtsam::Matrix unwrap< gtsam::Matrix >(const mxArray* array) {
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  if (mxIsDouble(array)==false) error("unwrap<matrix>: not a matrix");
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  int m = mxGetM(array), n = mxGetN(array);
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#ifdef DEBUG_WRAP
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  mexPrintf("unwrap< gtsam::Matrix > called with %dx%d argument\n", m,n);
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#endif
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  double* data = (double*)mxGetData(array);
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  gtsam::Matrix A(m,n);
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  // converts from row-major to column-major
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  for (int j=0;j<n;j++) for (int i=0;i<m;i++,data++) A(i,j) = *data;
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#ifdef DEBUG_WRAP
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  gtsam::print(A);
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#endif
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  return A;
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}
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/*
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 [create_object] creates a MATLAB proxy class object with a mexhandle
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 in the self property. Matlab does not allow the creation of matlab
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 objects from within mex files, hence we resort to an ugly trick: we
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 invoke the proxy class constructor by calling MATLAB with a special
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 uint64 value ptr_constructor_key and the pointer itself.  MATLAB
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 allocates the object.  Then, the special constructor in our wrap code
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 that is activated when the ptr_constructor_key is passed in passes
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 the pointer back into a C++ function to add the pointer to its
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 collector.  We go through this extra "C++ to MATLAB to C++ step" in
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 order to be able to add to the collector could be in a different wrap
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 module.
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*/
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mxArray* create_object(const std::string& classname, void *pointer, bool isVirtual, const char *rttiName) {
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  mxArray *result;
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  mxArray *input[3];
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  int nargin = 2;
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  // First input argument is pointer constructor key
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  input[0] = mxCreateNumericMatrix(1, 1, mxUINT64_CLASS, mxREAL);
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  *reinterpret_cast<uint64_t*>(mxGetData(input[0])) = ptr_constructor_key;
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  // Second input argument is the pointer
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  input[1] = mxCreateNumericMatrix(1, 1, mxUINT32OR64_CLASS, mxREAL);
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  *reinterpret_cast<void**>(mxGetData(input[1])) = pointer;
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  // If the class is virtual, use the RTTI name to look up the derived matlab type
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  const char *derivedClassName;
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  if(isVirtual) {
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    const mxArray *rttiRegistry = mexGetVariablePtr("global", "gtsamwrap_rttiRegistry");
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    if(!rttiRegistry)
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      mexErrMsgTxt(
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      "gtsam wrap:  RTTI registry is missing - it could have been cleared from the workspace."
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      "  You can issue 'clear all' to completely clear the workspace, and next time a wrapped object is"
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      " created the RTTI registry will be recreated.");
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    const mxArray *derivedNameMx = mxGetField(rttiRegistry, 0, rttiName);
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    if(!derivedNameMx)
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      mexErrMsgTxt((
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      "gtsam wrap:  The derived class type " + string(rttiName) + " was not found in the RTTI registry.  "
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      "Try calling 'clear all' twice consecutively - we have seen things not get unloaded properly the "
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      "first time.  If this does not work, this may indicate an inconsistency in your wrap interface file.  "
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      "The most likely cause for this is that a base class was marked virtual in the wrap interface "
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      "definition header file for gtsam or for your module, but a derived type was returned by a C++ "
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      "function and that derived type was not marked virtual (or was not specified in the wrap interface "
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      "definition header at all).").c_str());
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    size_t strLen = mxGetN(derivedNameMx);
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    char *buf = new char[strLen+1];
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    if(mxGetString(derivedNameMx, buf, strLen+1))
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      mexErrMsgTxt("gtsam wrap:  Internal error reading RTTI table, try 'clear all' to clear your workspace and reinitialize the toolbox.");
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    derivedClassName = buf;
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    input[2] = mxCreateString("void");
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    nargin = 3;
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  } else {
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    derivedClassName = classname.c_str();
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  }
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  // Call special pointer constructor, which sets 'self'
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  mexCallMATLAB(1,&result, nargin, input, derivedClassName);
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  // Deallocate our memory
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  mxDestroyArray(input[0]);
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  mxDestroyArray(input[1]);
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  if(isVirtual) {
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    mxDestroyArray(input[2]);
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    delete[] derivedClassName;
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  }
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  return result;
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}
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/*
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 When the user calls a method that returns a shared pointer, we create
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 an ObjectHandle from the shared_pointer and return it as a proxy
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 class to matlab.
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*/
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template <typename Class>
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mxArray* wrap_shared_ptr(boost::shared_ptr< Class > shared_ptr, const std::string& matlabName, bool isVirtual) {
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  // Create actual class object from out pointer
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  mxArray* result;
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  if(isVirtual) {
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    boost::shared_ptr<void> void_ptr(shared_ptr);
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    result = create_object(matlabName, &void_ptr, isVirtual, typeid(*shared_ptr).name());
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  } else {
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    boost::shared_ptr<Class> *heapPtr = new boost::shared_ptr<Class>(shared_ptr);
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    result = create_object(matlabName, heapPtr, isVirtual, "");
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  }
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  return result;
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}
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template <typename Class>
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boost::shared_ptr<Class> unwrap_shared_ptr(const mxArray* obj, const string& propertyName) {
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  mxArray* mxh = mxGetProperty(obj,0, propertyName.c_str());
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  if (mxGetClassID(mxh) != mxUINT32OR64_CLASS || mxIsComplex(mxh)
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    || mxGetM(mxh) != 1 || mxGetN(mxh) != 1) error(
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    "Parameter is not an Shared type.");
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  boost::shared_ptr<Class>* spp = *reinterpret_cast<boost::shared_ptr<Class>**> (mxGetData(mxh));
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  return *spp;
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}
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