cliptr.c

nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库

/*
 * MATLAB Compiler: 3.0
 * Date: Sun May 13 16:47:40 2007
 * Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on"
 * "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integer_for_loops:on" "-O"
 * "array_indexing:on" "-O" "optimize_conditionals:on" "-M" "-silentsetup" "-d"
 * "d:/MATLAB6p5/work/nnToolKit/src" "-B" "csglcom:nnToolKit,nnToolKit,2.0"
 * "-B" "sgl" "-m" "-W" "main" "-L" "C" "-t" "-T" "link:exe" "-h"
 * "libmmfile.mlib" "-W" "mainhg" "libmwsglm.mlib" "-t" "-W"
 * "comhg:nnToolKit,nnToolKit,2.0" "-T" "link:lib" "-h" "libmmfile.mlib" "-i"
 * "-i" "D:/MATLAB6p5/work/nnToolKit/lmnet/LmSimu.m"
 * "D:/MATLAB6p5/work/nnToolKit/lmnet/LmTrain.m"
 * "D:/MATLAB6p5/work/nnToolKit/sofm/SofmSimu.m"
 * "D:/MATLAB6p5/work/nnToolKit/sofm/SofmTrain.m" 
 */
#include "cliptr.h"
#include "libmatlbm.h"
static mxArray * _mxarray0_;
static mxArray * _mxarray1_;

static mxChar _array3_[3] = { 't', 'r', '.' };
static mxArray * _mxarray2_;

static mxChar _array5_[6] = { ' ', '=', ' ', 't', 'r', '.' };
static mxArray * _mxarray4_;

static mxChar _array7_[12] = { '(', ':', ',', 'i', 'n', 'd',
                               'i', 'c', 'e', 's', ')', ';' };
static mxArray * _mxarray6_;

void InitializeModule_cliptr(void) {
    _mxarray0_ = mclInitializeDouble(1.0);
    _mxarray1_ = mclInitializeDoubleVector(0, 0, (double *)NULL);
    _mxarray2_ = mclInitializeString(3, _array3_);
    _mxarray4_ = mclInitializeString(6, _array5_);
    _mxarray6_ = mclInitializeString(12, _array7_);
}

void TerminateModule_cliptr(void) {
    mxDestroyArray(_mxarray6_);
    mxDestroyArray(_mxarray4_);
    mxDestroyArray(_mxarray2_);
    mxDestroyArray(_mxarray1_);
    mxDestroyArray(_mxarray0_);
}

static mxArray * Mcliptr(int nargout_, mxArray * tr_in, mxArray * epochs);

_mexLocalFunctionTable _local_function_table_cliptr
  = { 0, (mexFunctionTableEntry *)NULL };

/*
 * The function "mlfCliptr" contains the normal interface for the "cliptr"
 * M-function from file "d:\matlab6p5\toolbox\nnet\nnutils\cliptr.m" (lines
 * 1-24). This function processes any input arguments and passes them to the
 * implementation version of the function, appearing above.
 */
mxArray * mlfCliptr(mxArray * tr_in, mxArray * epochs) {
    int nargout = 1;
    mxArray * tr = NULL;
    mlfEnterNewContext(0, 2, tr_in, epochs);
    tr = Mcliptr(nargout, tr_in, epochs);
    mlfRestorePreviousContext(0, 2, tr_in, epochs);
    return mlfReturnValue(tr);
}

/*
 * The function "mlxCliptr" contains the feval interface for the "cliptr"
 * M-function from file "d:\matlab6p5\toolbox\nnet\nnutils\cliptr.m" (lines
 * 1-24). The feval function calls the implementation version of cliptr through
 * this function. This function processes any input arguments and passes them
 * to the implementation version of the function, appearing above.
 */
void mlxCliptr(int nlhs, mxArray * plhs[], int nrhs, mxArray * prhs[]) {
    mxArray * mprhs[2];
    mxArray * mplhs[1];
    int i;
    if (nlhs > 1) {
        mlfError(
          mxCreateString(
            "Run-time Error: File: cliptr Line: 1 Column: "
            "1 The function \"cliptr\" was called with mor"
            "e than the declared number of outputs (1)."),
          NULL);
    }
    if (nrhs > 2) {
        mlfError(
          mxCreateString(
            "Run-time Error: File: cliptr Line: 1 Column: "
            "1 The function \"cliptr\" was called with mor"
            "e than the declared number of inputs (2)."),
          NULL);
    }
    for (i = 0; i < 1; ++i) {
        mplhs[i] = NULL;
    }
    for (i = 0; i < 2 && i < nrhs; ++i) {
        mprhs[i] = prhs[i];
    }
    for (; i < 2; ++i) {
        mprhs[i] = NULL;
    }
    mlfEnterNewContext(0, 2, mprhs[0], mprhs[1]);
    mplhs[0] = Mcliptr(nlhs, mprhs[0], mprhs[1]);
    mlfRestorePreviousContext(0, 2, mprhs[0], mprhs[1]);
    plhs[0] = mplhs[0];
}

/*
 * The function "Mcliptr" is the implementation version of the "cliptr"
 * M-function from file "d:\matlab6p5\toolbox\nnet\nnutils\cliptr.m" (lines
 * 1-24). It contains the actual compiled code for that M-function. It is a
 * static function and must only be called from one of the interface functions,
 * appearing below.
 */
/*
 * function tr=cliptr(tr,epochs)
 */
static mxArray * Mcliptr(int nargout_, mxArray * tr_in, mxArray * epochs) {
    mexLocalFunctionTable save_local_function_table_
      = mclSetCurrentLocalFunctionTable(&_local_function_table_cliptr);
    mxArray * tr = NULL;
    mxArray * ans = NULL;
    mxArray * name = NULL;
    mxArray * i = NULL;
    mxArray * names = NULL;
    mxArray * indices = NULL;
    mclCopyInputArg(&tr, tr_in);
    mclCopyArray(&epochs);
    /*
     * %CLIPTR Clip training record to the final number of epochs.
     * %
     * %  Syntax
     * %
     * %    tr = cliptr(tr,epochs)
     * %
     * %  Warning!!
     * %
     * %    This function may be altered or removed in future
     * %    releases of the Neural Network Toolbox. We recommend
     * %    you do not write code which calls this function.
     * 
     * % Mark Beale, 11-31-97
     * % Copyright 1992-2002 The MathWorks, Inc.
     * % $Revision: 1.7 $
     * 
     * indices = 1:(epochs+1);
     */
    mlfAssign(
      &indices,
      mlfColon(_mxarray0_, mclPlus(mclVa(epochs, "epochs"), _mxarray0_), NULL));
    /*
     * names = fieldnames(tr);
     */
    mlfAssign(&names, mlfFieldnames(mclVa(tr, "tr")));
    /*
     * for i=1:length(names)
     */
    {
        int v_ = mclForIntStart(1);
        int e_ = mclLengthInt(mclVv(names, "names"));
        if (v_ > e_) {
            mlfAssign(&i, _mxarray1_);
        } else {
            /*
             * name = names{i};
             * eval(['tr.' name ' = tr.' name '(:,indices);']);
             * end
             */
            for (; ; ) {
                mlfAssign(
                  &name,
                  mlfIndexRef(mclVv(names, "names"), "{?}", mlfScalar(v_)));
                mclAssignAns(
                  &ans,
                  mlfEval(
                    mclAnsVarargout(),
                    mlfHorzcat(
                      _mxarray2_,
                      mclVv(name, "name"),
                      _mxarray4_,
                      mclVv(name, "name"),
                      _mxarray6_,
                      NULL),
                    NULL));
                if (v_ == e_) {
                    break;
                }
                ++v_;
            }
            mlfAssign(&i, mlfScalar(v_));
        }
    }
    mclValidateOutput(tr, 1, nargout_, "tr", "cliptr");
    mxDestroyArray(indices);
    mxDestroyArray(names);
    mxDestroyArray(i);
    mxDestroyArray(name);
    mxDestroyArray(ans);
    mxDestroyArray(epochs);
    mclSetCurrentLocalFunctionTable(save_local_function_table_);
    return tr;
}