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Merge pull request #747 from taka-no-me:split_c_cpp

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This commit is contained in:
Andrey Kamaev
2013-04-04 00:55:21 +04:00
committed by OpenCV Buildbot
parent 422803e866 d4bb421ce2
commit 78c70ab948
232 changed files with 14517 additions and 12876 deletions
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apps/haartraining/_cvcommon.h
-1
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@@ -43,7 +43,6 @@
#define __CVCOMMON_H_
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "cxcore.h"
#include "cv.h"
apps/haartraining/cvhaartraining.cpp
+1 -1
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@@ -2676,7 +2676,7 @@ void cvCreateTreeCascadeClassifier( const char* dirname,
CvSplit* curSplit;
CV_CALL( curSplit = (CvSplit*) cvAlloc( sizeof( *curSplit ) ) );
CV_ZERO_OBJ( curSplit );
memset(curSplit, 0, sizeof(*curSplit));
if( last_split ) last_split->next = curSplit;
else first_split = curSplit;
apps/haartraining/performance.cpp
-1
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@@ -45,7 +45,6 @@
* Measure performance of classifier
*/
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "cv.h"
#include "highgui.h"
apps/traincascade/HOGfeatures.cpp
-1
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@@ -1,5 +1,4 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "HOGfeatures.h"
#include "cascadeclassifier.h"
apps/traincascade/boost.cpp
+50 -3
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@@ -1,11 +1,52 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "boost.h"
#include "cascadeclassifier.h"
#include <queue>
#include "cxmisc.h"
#include "cvconfig.h"
#ifdef HAVE_TBB
# include "tbb/tbb_stddef.h"
# if TBB_VERSION_MAJOR*100 + TBB_VERSION_MINOR >= 202
# include "tbb/tbb.h"
# include "tbb/task.h"
# undef min
# undef max
# else
# undef HAVE_TBB
# endif
#endif
#ifdef HAVE_TBB
typedef tbb::blocked_range<int> BlockedRange;
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
tbb::parallel_for(range, body);
}
#else
class BlockedRange
{
public:
BlockedRange() : _begin(0), _end(0), _grainsize(0) {}
BlockedRange(int b, int e, int g=1) : _begin(b), _end(e), _grainsize(g) {}
int begin() const { return _begin; }
int end() const { return _end; }
int grainsize() const { return _grainsize; }
protected:
int _begin, _end, _grainsize;
};
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
body(range);
}
#endif
using namespace std;
static inline double
@@ -27,6 +68,12 @@ public:
const T* arr;
};
static inline int cvAlign( int size, int align )
{
CV_DbgAssert( (align & (align-1)) == 0 && size < INT_MAX );
return (size + align - 1) & -align;
}
#define CV_THRESHOLD_EPS (0.00001F)
static const int MinBlockSize = 1 << 16;
@@ -45,7 +92,7 @@ static CvMat* cvPreprocessIndexArray( const CvMat* idx_arr, int data_arr_size, b
CV_FUNCNAME( "cvPreprocessIndexArray" );
__BEGIN__;
__CV_BEGIN__;
int i, idx_total, idx_selected = 0, step, type, prev = INT_MIN, is_sorted = 1;
uchar* srcb = 0;
@@ -133,7 +180,7 @@ static CvMat* cvPreprocessIndexArray( const CvMat* idx_arr, int data_arr_size, b
}
}
__END__;
__CV_END__;
if( cvGetErrStatus() < 0 )
cvReleaseMat( &idx );
apps/traincascade/cascadeclassifier.cpp
-1
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@@ -1,5 +1,4 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "cascadeclassifier.h"
#include <queue>
apps/traincascade/features.cpp
-1
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@@ -1,5 +1,4 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "traincascade_features.h"
#include "cascadeclassifier.h"
apps/traincascade/haarfeatures.cpp
-1
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@@ -1,5 +1,4 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "haarfeatures.h"
#include "cascadeclassifier.h"
apps/traincascade/imagestorage.cpp
-1
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@@ -1,5 +1,4 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "cv.h"
#include "imagestorage.h"
apps/traincascade/lbpfeatures.cpp
-1
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@@ -1,5 +1,4 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "lbpfeatures.h"
#include "cascadeclassifier.h"
apps/traincascade/traincascade.cpp
-1
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@@ -1,5 +1,4 @@
#include "opencv2/core.hpp"
#include "opencv2/core/internal.hpp"
#include "cv.h"
#include "cascadeclassifier.h"
cmake/OpenCVModule.cmake
+1 -1
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@@ -535,7 +535,7 @@ macro(ocv_create_module)
if(OPENCV_MODULE_${the_module}_HEADERS AND ";${OPENCV_MODULES_PUBLIC};" MATCHES ";${the_module};")
foreach(hdr ${OPENCV_MODULE_${the_module}_HEADERS})
string(REGEX REPLACE "^.*opencv2/" "opencv2/" hdr2 "${hdr}")
if(hdr2 MATCHES "^(opencv2/.*)/[^/]+.h(..)?$")
if(hdr2 MATCHES "^(opencv2/.*)[^/]+.h(..)?$" AND NOT hdr2 MATCHES "opencv2/${the_module}/private.*")
install(FILES ${hdr} DESTINATION "${OPENCV_INCLUDE_INSTALL_PATH}/${CMAKE_MATCH_1}" COMPONENT main)
endif()
endforeach()
doc/check_docs2.py
+6 -2
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@@ -83,11 +83,15 @@ def get_cv2_object(name):
elif name == "DescriptorExtractor":
return cv2.DescriptorExtractor_create("ORB"), name
elif name == "BackgroundSubtractor":
return cv2.BackgroundSubtractorMOG(), name
return cv2.createBackgroundSubtractorMOG(), name
elif name == "StatModel":
return cv2.KNearest(), name
else:
return getattr(cv2, name)(), name
try:
obj = getattr(cv2, name)()
except AttributeError:
obj = getattr(cv2, "create" + name)()
return obj, name
def compareSignatures(f, s):
# function names
include/opencv/cv.h
-6
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@@ -61,8 +61,6 @@
//CV_WARNING("This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module")
#include "opencv2/core/core_c.h"
#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/imgproc.hpp"
#include "opencv2/video.hpp"
@@ -76,9 +74,5 @@
#define CV_IMPL extern "C"
#endif //CV_IMPL
#if defined(__cplusplus)
#include "opencv2/core/internal.hpp"
#endif //__cplusplus
#endif // __OPENCV_OLD_CV_H_
include/opencv/cv.hpp
+2 -1
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@@ -47,6 +47,7 @@
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
//#endif
#include <cv.h>
#include "cv.h"
#include "opencv2/core.hpp"
#endif
include/opencv/cvaux.h
-1
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@@ -47,7 +47,6 @@
//#endif
#include "opencv2/core/core_c.h"
#include "opencv2/core.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/imgproc.hpp"
#include "opencv2/video.hpp"
include/opencv/cvaux.hpp
+2 -1
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@@ -46,6 +46,7 @@
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
//#endif
#include <cvaux.h>
#include "cvaux.h"
#include "opencv2/core/utility.hpp"
#endif
include/opencv/cxcore.h
-1
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@@ -48,6 +48,5 @@
//#endif
#include "opencv2/core/core_c.h"
#include "opencv2/core.hpp"
#endif
include/opencv/cxcore.hpp
+2 -1
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@@ -47,6 +47,7 @@
//#warning "This is a deprecated opencv header provided for compatibility. Please include a header from a corresponding opencv module"
//#endif
#include <cxcore.h>
#include "cxcore.h"
#include "opencv2/core.hpp"
#endif
include/opencv/cxmisc.h
+3 -1
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@@ -1,6 +1,8 @@
#ifndef __OPENCV_OLD_CXMISC_H__
#define __OPENCV_OLD_CXMISC_H__
#include "opencv2/core/internal.hpp"
#ifdef __cplusplus
# include "opencv2/core/utility.hpp"
#endif
#endif
include/opencv/highgui.h
-1
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@@ -43,7 +43,6 @@
#define __OPENCV_OLD_HIGHGUI_H__
#include "opencv2/core/core_c.h"
#include "opencv2/core.hpp"
#include "opencv2/highgui/highgui_c.h"
#include "opencv2/highgui.hpp"
include/opencv/ml.h
-1
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@@ -42,7 +42,6 @@
#define __OPENCV_OLD_ML_H__
#include "opencv2/core/core_c.h"
#include "opencv2/core.hpp"
#include "opencv2/ml.hpp"
#endif
include/opencv2/opencv.hpp
-3
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@@ -43,10 +43,8 @@
#ifndef __OPENCV_ALL_HPP__
#define __OPENCV_ALL_HPP__
#include "opencv2/core/core_c.h"
#include "opencv2/core.hpp"
#include "opencv2/flann/miniflann.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/imgproc.hpp"
#include "opencv2/photo.hpp"
#include "opencv2/video.hpp"
@@ -54,7 +52,6 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/calib3d.hpp"
#include "opencv2/ml.hpp"
#include "opencv2/highgui/highgui_c.h"
#include "opencv2/highgui.hpp"
#include "opencv2/contrib.hpp"
modules/androidcamera/src/camera_activity.cpp
+6 -1
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@@ -29,6 +29,11 @@
#include <sys/types.h>
#include <dirent.h>
struct str_greater
{
bool operator() (const cv::String& a, const cv::String& b) { return a > b; }
};
class CameraWrapperConnector
{
public:
@@ -177,7 +182,7 @@ CameraActivity::ErrorCode CameraWrapperConnector::connectToLib()
std::vector<cv::String> listLibs;
fillListWrapperLibs(folderPath, listLibs);
std::sort(listLibs.begin(), listLibs.end(), std::greater<cv::String>());
std::sort(listLibs.begin(), listLibs.end(), str_greater());
void * libHandle=0;
cv::String cur_path;
modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+3 -3
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@@ -1178,7 +1178,7 @@ Computes disparity map for the specified stereo pair
.. ocv:function:: void StereoMatcher::compute( InputArray left, InputArray right, OutputArray disparity )
.. ocv:pyfunction:: cv2.StereoBM.compute(left, right[, disparity[, disptype]]) -> disparity
.. ocv:pyfunction:: cv2.StereoBM.compute(left, right[, disparity]) -> disparity
:param left: Left 8-bit single-channel image.
@@ -1200,7 +1200,7 @@ Creates StereoBM object
.. ocv:function:: Ptr<StereoBM> createStereoBM(int numDisparities=0, int blockSize=21)
.. ocv:pyfunction:: cv2.createStereoBM([numDisparities[, blockSize]]) -> <StereoBM object>
.. ocv:pyfunction:: cv2.createStereoBM([numDisparities[, blockSize]]) -> retval
:param numDisparities: the disparity search range. For each pixel algorithm will find the best disparity from 0 (default minimum disparity) to ``numDisparities``. The search range can then be shifted by changing the minimum disparity.
@@ -1231,7 +1231,7 @@ Creates StereoSGBM object
.. ocv:function:: Ptr<StereoSGBM> createStereoSGBM( int minDisparity, int numDisparities, int blockSize, int P1=0, int P2=0, int disp12MaxDiff=0, int preFilterCap=0, int uniquenessRatio=0, int speckleWindowSize=0, int speckleRange=0, int mode=StereoSGBM::MODE_SGBM)
.. ocv:pyfunction:: cv2.StereoSGBM([minDisparity, numDisparities, blockSize[, P1[, P2[, disp12MaxDiff[, preFilterCap[, uniquenessRatio[, speckleWindowSize[, speckleRange[, mode]]]]]]]]]) -> <StereoSGBM object>
.. ocv:pyfunction:: cv2.createStereoSGBM(minDisparity, numDisparities, blockSize[, P1[, P2[, disp12MaxDiff[, preFilterCap[, uniquenessRatio[, speckleWindowSize[, speckleRange[, mode]]]]]]]]) -> retval
:param minDisparity: Minimum possible disparity value. Normally, it is zero but sometimes rectification algorithms can shift images, so this parameter needs to be adjusted accordingly.
modules/calib3d/include/opencv2/calib3d.hpp
+4 -1
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@@ -44,7 +44,10 @@
#ifndef __OPENCV_CALIB3D_HPP__
#define __OPENCV_CALIB3D_HPP__
#include "opencv2/core.hpp"
#ifdef __cplusplus
# include "opencv2/core.hpp"
#endif
#include "opencv2/core/core_c.h"
#include "opencv2/features2d.hpp"
#ifdef __cplusplus
modules/calib3d/perf/perf_pnp.cpp
+4 -1
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@@ -1,5 +1,8 @@
#include "perf_precomp.hpp"
#include "opencv2/core/internal.hpp"
#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif
using namespace std;
using namespace cv;
modules/calib3d/src/calibinit.cpp
+11 -11
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@@ -1095,7 +1095,7 @@ icvOrderQuad(CvCBQuad *quad, CvCBCorner *corner, int common)
static int
icvCleanFoundConnectedQuads( int quad_count, CvCBQuad **quad_group, CvSize pattern_size )
{
CvPoint2D32f center = {0,0};
CvPoint2D32f center;
int i, j, k;
// number of quads this pattern should contain
int count = ((pattern_size.width + 1)*(pattern_size.height + 1) + 1)/2;
@@ -1111,7 +1111,7 @@ icvCleanFoundConnectedQuads( int quad_count, CvCBQuad **quad_group, CvSize patte
for( i = 0; i < quad_count; i++ )
{
CvPoint2D32f ci = {0,0};
CvPoint2D32f ci;
CvCBQuad* q = quad_group[i];
for( j = 0; j < 4; j++ )
@@ -1833,7 +1833,7 @@ cvDrawChessboardCorners( CvArr* _image, CvSize pattern_size,
if( !found )
{
CvScalar color = {{0,0,255}};
CvScalar color(0,0,255,0);
if( cn == 1 )
color = cvScalarAll(200);
color.val[0] *= scale;
@@ -1856,17 +1856,17 @@ cvDrawChessboardCorners( CvArr* _image, CvSize pattern_size,
else
{
int x, y;
CvPoint prev_pt = {0, 0};
CvPoint prev_pt;
const int line_max = 7;
static const CvScalar line_colors[line_max] =
{
{{0,0,255}},
{{0,128,255}},
{{0,200,200}},
{{0,255,0}},
{{200,200,0}},
{{255,0,0}},
{{255,0,255}}
CvScalar(0,0,255),
CvScalar(0,128,255),
CvScalar(0,200,200),
CvScalar(0,255,0),
CvScalar(200,200,0),
CvScalar(255,0,0),
CvScalar(255,0,255)
};
for( y = 0, i = 0; y < pattern_size.height; y++ )
modules/calib3d/src/calibration.cpp
+1 -1
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@@ -2688,7 +2688,7 @@ void cv::reprojectImageTo3D( InputArray _disparity,
for( x = 0; x < cols*3; x++ )
{
int ival = cvRound(dptr[x]);
dptr0[x] = CV_CAST_16S(ival);
dptr0[x] = cv::saturate_cast<short>(ival);
}
}
else if( dtype == CV_32SC3 )
modules/calib3d/src/circlesgrid.hpp
+1
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@@ -47,6 +47,7 @@
#include <set>
#include <list>
#include <numeric>
#include <map>
#include "precomp.hpp"
modules/calib3d/src/five-point.cpp
+380 -381
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@@ -1,11 +1,11 @@
/* This is a 5-point algorithm contributed to OpenCV by the author, Bo Li.
It implements the 5-point algorithm solver from Nister's paper:
It implements the 5-point algorithm solver from Nister's paper:
Nister, An efficient solution to the five-point relative pose problem, PAMI, 2004.
*/
/* Copyright (c) 2013, Bo Li (prclibo@gmail.com), ETH Zurich
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
@@ -16,7 +16,7 @@
* Neither the name of the copyright holder nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
@@ -30,7 +30,6 @@
*/
#include "precomp.hpp"
#include <complex>
namespace cv
{
@@ -101,7 +100,7 @@ public:
c[1] = (b[29]*b[7]*b[24]-b[29]*b[20]*b[11]+b[2]*b[20]*b[38]-b[2]*b[25]*b[33]-b[28]*b[20]*b[12]+b[28]*b[7]*b[25]-b[29]*b[19]*b[12]-b[3]*b[24]*b[33]+b[15]*b[33]*b[12]+b[3]*b[19]*b[38]-b[16]*b[6]*b[38]+b[3]*b[20]*b[37]+b[16]*b[32]*b[12]+b[29]*b[6]*b[25]-b[16]*b[7]*b[37]-b[3]*b[25]*b[32]-b[15]*b[7]*b[38]+b[16]*b[33]*b[11]);
c[0] = -b[29]*b[20]*b[12]+b[29]*b[7]*b[25]+b[16]*b[33]*b[12]-b[16]*b[7]*b[38]+b[3]*b[20]*b[38]-b[3]*b[25]*b[33];
std::vector<std::complex<double> > roots;
std::vector<Complex<double> > roots;
solvePoly(coeffs, roots);
std::vector<double> xs, ys, zs;
@@ -111,8 +110,8 @@ public:
double* e = ematrix.ptr<double>();
for (size_t i = 0; i < roots.size(); i++)
{
if (fabs(roots[i].imag()) > 1e-10) continue;
double z1 = roots[i].real();
if (fabs(roots[i].im) > 1e-10) continue;
double z1 = roots[i].re;
double z2 = z1 * z1;
double z3 = z2 * z1;
double z4 = z3 * z1;
@@ -129,244 +128,244 @@ public:
Mat Bz(3, 3, CV_64F, bz);
cv::Mat xy1;
SVD::solveZ(Bz, xy1);
if (fabs(xy1.at<double>(2)) < 1e-10) continue;
xs.push_back(xy1.at<double>(0) / xy1.at<double>(2));
ys.push_back(xy1.at<double>(1) / xy1.at<double>(2));
zs.push_back(z1);
cv::Mat Evec = EE.col(0) * xs.back() + EE.col(1) * ys.back() + EE.col(2) * zs.back() + EE.col(3);
Evec /= norm(Evec);
memcpy(e + count * 9, Evec.data, 9 * sizeof(double));
count++;
if (fabs(xy1.at<double>(2)) < 1e-10) continue;
xs.push_back(xy1.at<double>(0) / xy1.at<double>(2));
ys.push_back(xy1.at<double>(1) / xy1.at<double>(2));
zs.push_back(z1);
cv::Mat Evec = EE.col(0) * xs.back() + EE.col(1) * ys.back() + EE.col(2) * zs.back() + EE.col(3);
Evec /= norm(Evec);
memcpy(e + count * 9, Evec.data, 9 * sizeof(double));
count++;
}
ematrix.rowRange(0, count*3).copyTo(_model);
return count;
}
protected:
protected:
void getCoeffMat(double *e, double *A) const
{
double ep2[36], ep3[36];
double ep2[36], ep3[36];
for (int i = 0; i < 36; i++)
{
ep2[i] = e[i] * e[i];
ep3[i] = ep2[i] * e[i];
ep2[i] = e[i] * e[i];
ep3[i] = ep2[i] * e[i];
}
A[0]=e[33]*e[28]*e[32]-e[33]*e[31]*e[29]+e[30]*e[34]*e[29]-e[30]*e[28]*e[35]-e[27]*e[32]*e[34]+e[27]*e[31]*e[35];
A[146]=.5000000000*e[6]*ep2[8]-.5000000000*e[6]*ep2[5]+.5000000000*ep3[6]+.5000000000*e[6]*ep2[7]-.5000000000*e[6]*ep2[4]+e[0]*e[2]*e[8]+e[3]*e[4]*e[7]+e[3]*e[5]*e[8]+e[0]*e[1]*e[7]-.5000000000*e[6]*ep2[1]-.5000000000*e[6]*ep2[2]+.5000000000*ep2[0]*e[6]+.5000000000*ep2[3]*e[6];
A[1]=e[30]*e[34]*e[2]+e[33]*e[1]*e[32]-e[3]*e[28]*e[35]+e[0]*e[31]*e[35]+e[3]*e[34]*e[29]-e[30]*e[1]*e[35]+e[27]*e[31]*e[8]-e[27]*e[32]*e[7]-e[30]*e[28]*e[8]-e[33]*e[31]*e[2]-e[0]*e[32]*e[34]+e[6]*e[28]*e[32]-e[33]*e[4]*e[29]+e[33]*e[28]*e[5]+e[30]*e[7]*e[29]+e[27]*e[4]*e[35]-e[27]*e[5]*e[34]-e[6]*e[31]*e[29];
A[147]=e[9]*e[27]*e[15]+e[9]*e[29]*e[17]+e[9]*e[11]*e[35]+e[9]*e[28]*e[16]+e[9]*e[10]*e[34]+e[27]*e[11]*e[17]+e[27]*e[10]*e[16]+e[12]*e[30]*e[15]+e[12]*e[32]*e[17]+e[12]*e[14]*e[35]+e[12]*e[31]*e[16]+e[12]*e[13]*e[34]+e[30]*e[14]*e[17]+e[30]*e[13]*e[16]+e[15]*e[35]*e[17]+e[15]*e[34]*e[16]-1.*e[15]*e[28]*e[10]-1.*e[15]*e[31]*e[13]-1.*e[15]*e[32]*e[14]-1.*e[15]*e[29]*e[11]+.5000000000*ep2[9]*e[33]+.5000000000*e[33]*ep2[16]-.5000000000*e[33]*ep2[11]+.5000000000*e[33]*ep2[12]+1.500000000*e[33]*ep2[15]+.5000000000*e[33]*ep2[17]-.5000000000*e[33]*ep2[10]-.5000000000*e[33]*ep2[14]-.5000000000*e[33]*ep2[13];
A[2]=-e[33]*e[22]*e[29]-e[33]*e[31]*e[20]-e[27]*e[32]*e[25]+e[27]*e[22]*e[35]-e[27]*e[23]*e[34]+e[27]*e[31]*e[26]+e[33]*e[28]*e[23]-e[21]*e[28]*e[35]+e[30]*e[25]*e[29]+e[24]*e[28]*e[32]-e[24]*e[31]*e[29]+e[18]*e[31]*e[35]-e[30]*e[28]*e[26]-e[30]*e[19]*e[35]+e[21]*e[34]*e[29]+e[33]*e[19]*e[32]-e[18]*e[32]*e[34]+e[30]*e[34]*e[20];
A[144]=e[18]*e[2]*e[17]+e[3]*e[21]*e[15]+e[3]*e[12]*e[24]+e[3]*e[23]*e[17]+e[3]*e[14]*e[26]+e[3]*e[22]*e[16]+e[3]*e[13]*e[25]+3.*e[6]*e[24]*e[15]+e[6]*e[26]*e[17]+e[6]*e[25]*e[16]+e[0]*e[20]*e[17]+e[0]*e[11]*e[26]+e[0]*e[19]*e[16]+e[0]*e[10]*e[25]+e[15]*e[26]*e[8]-1.*e[15]*e[20]*e[2]-1.*e[15]*e[19]*e[1]-1.*e[15]*e[22]*e[4]+e[15]*e[25]*e[7]-1.*e[15]*e[23]*e[5]+e[12]*e[21]*e[6]+e[12]*e[22]*e[7]+e[12]*e[4]*e[25]+e[12]*e[23]*e[8]+e[12]*e[5]*e[26]-1.*e[24]*e[11]*e[2]-1.*e[24]*e[10]*e[1]-1.*e[24]*e[13]*e[4]+e[24]*e[16]*e[7]-1.*e[24]*e[14]*e[5]+e[24]*e[17]*e[8]+e[21]*e[13]*e[7]+e[21]*e[4]*e[16]+e[21]*e[14]*e[8]+e[21]*e[5]*e[17]-1.*e[6]*e[23]*e[14]-1.*e[6]*e[20]*e[11]-1.*e[6]*e[19]*e[10]-1.*e[6]*e[22]*e[13]+e[9]*e[18]*e[6]+e[9]*e[0]*e[24]+e[9]*e[19]*e[7]+e[9]*e[1]*e[25]+e[9]*e[20]*e[8]+e[9]*e[2]*e[26]+e[18]*e[0]*e[15]+e[18]*e[10]*e[7]+e[18]*e[1]*e[16]+e[18]*e[11]*e[8];
A[3]=e[33]*e[10]*e[32]+e[33]*e[28]*e[14]-e[33]*e[13]*e[29]-e[33]*e[31]*e[11]+e[9]*e[31]*e[35]-e[9]*e[32]*e[34]+e[27]*e[13]*e[35]-e[27]*e[32]*e[16]+e[27]*e[31]*e[17]-e[27]*e[14]*e[34]+e[12]*e[34]*e[29]-e[12]*e[28]*e[35]+e[30]*e[34]*e[11]+e[30]*e[16]*e[29]-e[30]*e[10]*e[35]-e[30]*e[28]*e[17]+e[15]*e[28]*e[32]-e[15]*e[31]*e[29];
A[145]=e[0]*e[27]*e[6]+e[0]*e[28]*e[7]+e[0]*e[1]*e[34]+e[0]*e[29]*e[8]+e[0]*e[2]*e[35]+e[6]*e[34]*e[7]-1.*e[6]*e[32]*e[5]+e[6]*e[30]*e[3]+e[6]*e[35]*e[8]-1.*e[6]*e[29]*e[2]-1.*e[6]*e[28]*e[1]-1.*e[6]*e[31]*e[4]+e[27]*e[1]*e[7]+e[27]*e[2]*e[8]+e[3]*e[31]*e[7]+e[3]*e[4]*e[34]+e[3]*e[32]*e[8]+e[3]*e[5]*e[35]+e[30]*e[4]*e[7]+e[30]*e[5]*e[8]+.5000000000*ep2[0]*e[33]+1.500000000*e[33]*ep2[6]-.5000000000*e[33]*ep2[4]-.5000000000*e[33]*ep2[5]-.5000000000*e[33]*ep2[1]+.5000000000*e[33]*ep2[7]+.5000000000*e[33]*ep2[3]-.5000000000*e[33]*ep2[2]+.5000000000*e[33]*ep2[8];
A[4]=-e[0]*e[23]*e[16]+e[9]*e[4]*e[26]+e[9]*e[22]*e[8]-e[9]*e[5]*e[25]-e[9]*e[23]*e[7]+e[18]*e[4]*e[17]+e[18]*e[13]*e[8]-e[18]*e[5]*e[16]-e[18]*e[14]*e[7]+e[3]*e[16]*e[20]+e[3]*e[25]*e[11]-e[3]*e[10]*e[26]-e[3]*e[19]*e[17]+e[12]*e[7]*e[20]+e[12]*e[25]*e[2]-e[12]*e[1]*e[26]-e[12]*e[19]*e[8]+e[21]*e[7]*e[11]+e[21]*e[16]*e[2]-e[21]*e[1]*e[17]-e[21]*e[10]*e[8]+e[6]*e[10]*e[23]+e[6]*e[19]*e[14]-e[6]*e[13]*e[20]-e[6]*e[22]*e[11]+e[15]*e[1]*e[23]+e[15]*e[19]*e[5]-e[15]*e[4]*e[20]-e[15]*e[22]*e[2]+e[24]*e[1]*e[14]+e[24]*e[10]*e[5]-e[24]*e[4]*e[11]-e[24]*e[13]*e[2]+e[0]*e[13]*e[26]+e[0]*e[22]*e[17]-e[0]*e[14]*e[25];
A[150]=e[18]*e[19]*e[25]+.5000000000*ep3[24]-.5000000000*e[24]*ep2[23]+e[18]*e[20]*e[26]+e[21]*e[22]*e[25]+e[21]*e[23]*e[26]-.5000000000*e[24]*ep2[19]+.5000000000*ep2[21]*e[24]+.5000000000*e[24]*ep2[26]-.5000000000*e[24]*ep2[20]+.5000000000*ep2[18]*e[24]-.5000000000*e[24]*ep2[22]+.5000000000*e[24]*ep2[25];
A[5]=-e[3]*e[1]*e[35]-e[0]*e[32]*e[7]+e[27]*e[4]*e[8]+e[33]*e[1]*e[5]-e[33]*e[4]*e[2]+e[0]*e[4]*e[35]+e[3]*e[34]*e[2]-e[30]*e[1]*e[8]+e[30]*e[7]*e[2]-e[6]*e[4]*e[29]+e[3]*e[7]*e[29]+e[6]*e[1]*e[32]-e[0]*e[5]*e[34]-e[3]*e[28]*e[8]+e[0]*e[31]*e[8]+e[6]*e[28]*e[5]-e[6]*e[31]*e[2]-e[27]*e[5]*e[7];
A[151]=e[33]*e[16]*e[7]-1.*e[33]*e[14]*e[5]+e[33]*e[17]*e[8]+e[30]*e[13]*e[7]+e[30]*e[4]*e[16]+e[30]*e[14]*e[8]+e[30]*e[5]*e[17]+e[6]*e[27]*e[9]-1.*e[6]*e[28]*e[10]-1.*e[6]*e[31]*e[13]-1.*e[6]*e[32]*e[14]-1.*e[6]*e[29]*e[11]+e[9]*e[28]*e[7]+e[9]*e[1]*e[34]+e[9]*e[29]*e[8]+e[9]*e[2]*e[35]+e[27]*e[10]*e[7]+e[27]*e[1]*e[16]+e[27]*e[11]*e[8]+e[27]*e[2]*e[17]+e[3]*e[30]*e[15]+e[3]*e[12]*e[33]+e[3]*e[32]*e[17]+e[3]*e[14]*e[35]+e[3]*e[31]*e[16]+e[3]*e[13]*e[34]+3.*e[6]*e[33]*e[15]+e[6]*e[35]*e[17]+e[6]*e[34]*e[16]+e[0]*e[27]*e[15]+e[0]*e[9]*e[33]+e[0]*e[29]*e[17]+e[0]*e[11]*e[35]+e[0]*e[28]*e[16]+e[0]*e[10]*e[34]+e[15]*e[34]*e[7]-1.*e[15]*e[32]*e[5]+e[15]*e[35]*e[8]-1.*e[15]*e[29]*e[2]-1.*e[15]*e[28]*e[1]-1.*e[15]*e[31]*e[4]+e[12]*e[30]*e[6]+e[12]*e[31]*e[7]+e[12]*e[4]*e[34]+e[12]*e[32]*e[8]+e[12]*e[5]*e[35]-1.*e[33]*e[11]*e[2]-1.*e[33]*e[10]*e[1]-1.*e[33]*e[13]*e[4];
A[6]=e[6]*e[1]*e[5]-e[6]*e[4]*e[2]+e[3]*e[7]*e[2]+e[0]*e[4]*e[8]-e[0]*e[5]*e[7]-e[3]*e[1]*e[8];
A[148]=.5000000000*ep3[15]+e[9]*e[10]*e[16]-.5000000000*e[15]*ep2[11]+e[9]*e[11]*e[17]+.5000000000*ep2[12]*e[15]+.5000000000*e[15]*ep2[16]+.5000000000*e[15]*ep2[17]-.5000000000*e[15]*ep2[13]+.5000000000*ep2[9]*e[15]+e[12]*e[14]*e[17]-.5000000000*e[15]*ep2[10]-.5000000000*e[15]*ep2[14]+e[12]*e[13]*e[16];
A[7]=e[15]*e[28]*e[14]-e[15]*e[13]*e[29]-e[15]*e[31]*e[11]+e[33]*e[10]*e[14]-e[33]*e[13]*e[11]+e[9]*e[13]*e[35]-e[9]*e[32]*e[16]+e[9]*e[31]*e[17]-e[9]*e[14]*e[34]+e[27]*e[13]*e[17]-e[27]*e[14]*e[16]+e[12]*e[34]*e[11]+e[12]*e[16]*e[29]-e[12]*e[10]*e[35]-e[12]*e[28]*e[17]+e[30]*e[16]*e[11]-e[30]*e[10]*e[17]+e[15]*e[10]*e[32];
A[149]=e[18]*e[27]*e[24]+e[18]*e[28]*e[25]+e[18]*e[19]*e[34]+e[18]*e[29]*e[26]+e[18]*e[20]*e[35]+e[27]*e[19]*e[25]+e[27]*e[20]*e[26]+e[21]*e[30]*e[24]+e[21]*e[31]*e[25]+e[21]*e[22]*e[34]+e[21]*e[32]*e[26]+e[21]*e[23]*e[35]+e[30]*e[22]*e[25]+e[30]*e[23]*e[26]+e[24]*e[34]*e[25]+e[24]*e[35]*e[26]-1.*e[24]*e[29]*e[20]-1.*e[24]*e[31]*e[22]-1.*e[24]*e[32]*e[23]-1.*e[24]*e[28]*e[19]+1.500000000*e[33]*ep2[24]+.5000000000*e[33]*ep2[25]+.5000000000*e[33]*ep2[26]-.5000000000*e[33]*ep2[23]-.5000000000*e[33]*ep2[19]-.5000000000*e[33]*ep2[20]-.5000000000*e[33]*ep2[22]+.5000000000*ep2[18]*e[33]+.5000000000*ep2[21]*e[33];
A[9]=e[21]*e[25]*e[29]-e[27]*e[23]*e[25]+e[24]*e[19]*e[32]-e[21]*e[28]*e[26]-e[21]*e[19]*e[35]+e[18]*e[31]*e[26]-e[30]*e[19]*e[26]-e[24]*e[31]*e[20]+e[24]*e[28]*e[23]+e[27]*e[22]*e[26]+e[30]*e[25]*e[20]-e[33]*e[22]*e[20]+e[33]*e[19]*e[23]+e[21]*e[34]*e[20]-e[18]*e[23]*e[34]-e[24]*e[22]*e[29]-e[18]*e[32]*e[25]+e[18]*e[22]*e[35];
A[155]=e[12]*e[14]*e[8]+e[12]*e[5]*e[17]+e[15]*e[16]*e[7]+e[15]*e[17]*e[8]+e[0]*e[11]*e[17]+e[0]*e[9]*e[15]+e[0]*e[10]*e[16]+e[3]*e[14]*e[17]+e[3]*e[13]*e[16]+e[9]*e[10]*e[7]+e[9]*e[1]*e[16]+e[9]*e[11]*e[8]+e[9]*e[2]*e[17]-1.*e[15]*e[11]*e[2]-1.*e[15]*e[10]*e[1]-1.*e[15]*e[13]*e[4]-1.*e[15]*e[14]*e[5]+e[12]*e[3]*e[15]+e[12]*e[13]*e[7]+e[12]*e[4]*e[16]+.5000000000*ep2[12]*e[6]+1.500000000*ep2[15]*e[6]+.5000000000*e[6]*ep2[17]+.5000000000*e[6]*ep2[16]+.5000000000*e[6]*ep2[9]-.5000000000*e[6]*ep2[11]-.5000000000*e[6]*ep2[10]-.5000000000*e[6]*ep2[14]-.5000000000*e[6]*ep2[13];
A[8]=-e[9]*e[14]*e[16]-e[12]*e[10]*e[17]+e[9]*e[13]*e[17]-e[15]*e[13]*e[11]+e[15]*e[10]*e[14]+e[12]*e[16]*e[11];
A[154]=e[21]*e[14]*e[17]+e[21]*e[13]*e[16]+e[15]*e[26]*e[17]+e[15]*e[25]*e[16]-1.*e[15]*e[23]*e[14]-1.*e[15]*e[20]*e[11]-1.*e[15]*e[19]*e[10]-1.*e[15]*e[22]*e[13]+e[9]*e[20]*e[17]+e[9]*e[11]*e[26]+e[9]*e[19]*e[16]+e[9]*e[10]*e[25]+.5000000000*ep2[12]*e[24]+1.500000000*e[24]*ep2[15]+.5000000000*e[24]*ep2[17]+.5000000000*e[24]*ep2[16]+.5000000000*ep2[9]*e[24]-.5000000000*e[24]*ep2[11]-.5000000000*e[24]*ep2[10]-.5000000000*e[24]*ep2[14]-.5000000000*e[24]*ep2[13]+e[18]*e[11]*e[17]+e[18]*e[9]*e[15]+e[18]*e[10]*e[16]+e[12]*e[21]*e[15]+e[12]*e[23]*e[17]+e[12]*e[14]*e[26]+e[12]*e[22]*e[16]+e[12]*e[13]*e[25];
A[11]=-e[9]*e[5]*e[34]+e[9]*e[31]*e[8]-e[9]*e[32]*e[7]+e[27]*e[4]*e[17]+e[27]*e[13]*e[8]-e[27]*e[5]*e[16]-e[27]*e[14]*e[7]+e[0]*e[13]*e[35]-e[0]*e[32]*e[16]+e[0]*e[31]*e[17]-e[0]*e[14]*e[34]+e[9]*e[4]*e[35]+e[6]*e[10]*e[32]+e[6]*e[28]*e[14]-e[6]*e[13]*e[29]-e[6]*e[31]*e[11]+e[15]*e[1]*e[32]+e[3]*e[34]*e[11]+e[3]*e[16]*e[29]-e[3]*e[10]*e[35]-e[3]*e[28]*e[17]-e[12]*e[1]*e[35]+e[12]*e[7]*e[29]+e[12]*e[34]*e[2]-e[12]*e[28]*e[8]+e[15]*e[28]*e[5]-e[15]*e[4]*e[29]-e[15]*e[31]*e[2]+e[33]*e[1]*e[14]+e[33]*e[10]*e[5]-e[33]*e[4]*e[11]-e[33]*e[13]*e[2]+e[30]*e[7]*e[11]+e[30]*e[16]*e[2]-e[30]*e[1]*e[17]-e[30]*e[10]*e[8];
A[153]=e[21]*e[31]*e[7]+e[21]*e[4]*e[34]+e[21]*e[32]*e[8]+e[21]*e[5]*e[35]+e[30]*e[22]*e[7]+e[30]*e[4]*e[25]+e[30]*e[23]*e[8]+e[30]*e[5]*e[26]+3.*e[24]*e[33]*e[6]+e[24]*e[34]*e[7]+e[24]*e[35]*e[8]+e[33]*e[25]*e[7]+e[33]*e[26]*e[8]+e[0]*e[27]*e[24]+e[0]*e[18]*e[33]+e[0]*e[28]*e[25]+e[0]*e[19]*e[34]+e[0]*e[29]*e[26]+e[0]*e[20]*e[35]+e[18]*e[27]*e[6]+e[18]*e[28]*e[7]+e[18]*e[1]*e[34]+e[18]*e[29]*e[8]+e[18]*e[2]*e[35]+e[27]*e[19]*e[7]+e[27]*e[1]*e[25]+e[27]*e[20]*e[8]+e[27]*e[2]*e[26]+e[3]*e[30]*e[24]+e[3]*e[21]*e[33]+e[3]*e[31]*e[25]+e[3]*e[22]*e[34]+e[3]*e[32]*e[26]+e[3]*e[23]*e[35]+e[6]*e[30]*e[21]-1.*e[6]*e[29]*e[20]+e[6]*e[35]*e[26]-1.*e[6]*e[31]*e[22]-1.*e[6]*e[32]*e[23]-1.*e[6]*e[28]*e[19]+e[6]*e[34]*e[25]-1.*e[24]*e[32]*e[5]-1.*e[24]*e[29]*e[2]-1.*e[24]*e[28]*e[1]-1.*e[24]*e[31]*e[4]-1.*e[33]*e[20]*e[2]-1.*e[33]*e[19]*e[1]-1.*e[33]*e[22]*e[4]-1.*e[33]*e[23]*e[5];
A[10]=e[21]*e[25]*e[20]-e[21]*e[19]*e[26]+e[18]*e[22]*e[26]-e[18]*e[23]*e[25]-e[24]*e[22]*e[20]+e[24]*e[19]*e[23];
A[152]=e[3]*e[4]*e[25]+e[3]*e[23]*e[8]+e[3]*e[5]*e[26]+e[21]*e[4]*e[7]+e[21]*e[5]*e[8]+e[6]*e[25]*e[7]+e[6]*e[26]*e[8]+e[0]*e[19]*e[7]+e[0]*e[1]*e[25]+e[0]*e[20]*e[8]+e[0]*e[2]*e[26]-1.*e[6]*e[20]*e[2]-1.*e[6]*e[19]*e[1]-1.*e[6]*e[22]*e[4]-1.*e[6]*e[23]*e[5]+e[18]*e[1]*e[7]+e[18]*e[0]*e[6]+e[18]*e[2]*e[8]+e[3]*e[21]*e[6]+e[3]*e[22]*e[7]-.5000000000*e[24]*ep2[4]+.5000000000*e[24]*ep2[0]+1.500000000*e[24]*ep2[6]-.5000000000*e[24]*ep2[5]-.5000000000*e[24]*ep2[1]+.5000000000*e[24]*ep2[7]+.5000000000*e[24]*ep2[3]-.5000000000*e[24]*ep2[2]+.5000000000*e[24]*ep2[8];
A[13]=e[6]*e[28]*e[23]-e[6]*e[22]*e[29]-e[6]*e[31]*e[20]-e[3]*e[19]*e[35]+e[3]*e[34]*e[20]+e[3]*e[25]*e[29]-e[21]*e[1]*e[35]+e[21]*e[7]*e[29]+e[21]*e[34]*e[2]+e[24]*e[1]*e[32]+e[24]*e[28]*e[5]-e[24]*e[4]*e[29]-e[24]*e[31]*e[2]+e[33]*e[1]*e[23]+e[33]*e[19]*e[5]-e[33]*e[4]*e[20]-e[33]*e[22]*e[2]-e[21]*e[28]*e[8]+e[30]*e[7]*e[20]+e[30]*e[25]*e[2]-e[30]*e[1]*e[26]+e[18]*e[4]*e[35]-e[18]*e[5]*e[34]+e[18]*e[31]*e[8]-e[18]*e[32]*e[7]+e[27]*e[4]*e[26]+e[27]*e[22]*e[8]-e[27]*e[5]*e[25]-e[27]*e[23]*e[7]-e[3]*e[28]*e[26]-e[0]*e[32]*e[25]+e[0]*e[22]*e[35]-e[0]*e[23]*e[34]+e[0]*e[31]*e[26]-e[30]*e[19]*e[8]+e[6]*e[19]*e[32];
A[159]=.5000000000*ep2[18]*e[6]+.5000000000*ep2[21]*e[6]+1.500000000*ep2[24]*e[6]+.5000000000*e[6]*ep2[26]-.5000000000*e[6]*ep2[23]-.5000000000*e[6]*ep2[19]-.5000000000*e[6]*ep2[20]-.5000000000*e[6]*ep2[22]+.5000000000*e[6]*ep2[25]+e[21]*e[3]*e[24]+e[18]*e[20]*e[8]+e[21]*e[4]*e[25]+e[18]*e[19]*e[7]+e[18]*e[1]*e[25]+e[21]*e[22]*e[7]+e[21]*e[23]*e[8]+e[18]*e[0]*e[24]+e[18]*e[2]*e[26]+e[21]*e[5]*e[26]+e[24]*e[26]*e[8]-1.*e[24]*e[20]*e[2]-1.*e[24]*e[19]*e[1]-1.*e[24]*e[22]*e[4]+e[24]*e[25]*e[7]-1.*e[24]*e[23]*e[5]+e[0]*e[19]*e[25]+e[0]*e[20]*e[26]+e[3]*e[22]*e[25]+e[3]*e[23]*e[26];
A[12]=e[18]*e[4]*e[8]+e[3]*e[7]*e[20]+e[3]*e[25]*e[2]-e[3]*e[1]*e[26]-e[18]*e[5]*e[7]+e[6]*e[1]*e[23]+e[6]*e[19]*e[5]-e[6]*e[4]*e[20]-e[6]*e[22]*e[2]+e[21]*e[7]*e[2]-e[21]*e[1]*e[8]+e[24]*e[1]*e[5]-e[24]*e[4]*e[2]-e[3]*e[19]*e[8]+e[0]*e[4]*e[26]+e[0]*e[22]*e[8]-e[0]*e[5]*e[25]-e[0]*e[23]*e[7];
A[158]=e[9]*e[1]*e[7]+e[9]*e[0]*e[6]+e[9]*e[2]*e[8]+e[3]*e[12]*e[6]+e[3]*e[13]*e[7]+e[3]*e[4]*e[16]+e[3]*e[14]*e[8]+e[3]*e[5]*e[17]+e[12]*e[4]*e[7]+e[12]*e[5]*e[8]+e[6]*e[16]*e[7]+e[6]*e[17]*e[8]-1.*e[6]*e[11]*e[2]-1.*e[6]*e[10]*e[1]-1.*e[6]*e[13]*e[4]-1.*e[6]*e[14]*e[5]+e[0]*e[10]*e[7]+e[0]*e[1]*e[16]+e[0]*e[11]*e[8]+e[0]*e[2]*e[17]+.5000000000*ep2[3]*e[15]+1.500000000*e[15]*ep2[6]+.5000000000*e[15]*ep2[7]+.5000000000*e[15]*ep2[8]+.5000000000*ep2[0]*e[15]-.5000000000*e[15]*ep2[4]-.5000000000*e[15]*ep2[5]-.5000000000*e[15]*ep2[1]-.5000000000*e[15]*ep2[2];
A[15]=-e[15]*e[13]*e[2]-e[6]*e[13]*e[11]-e[15]*e[4]*e[11]+e[12]*e[16]*e[2]-e[3]*e[10]*e[17]+e[3]*e[16]*e[11]+e[0]*e[13]*e[17]-e[0]*e[14]*e[16]+e[15]*e[1]*e[14]-e[12]*e[10]*e[8]+e[9]*e[4]*e[17]+e[9]*e[13]*e[8]-e[9]*e[5]*e[16]-e[9]*e[14]*e[7]+e[15]*e[10]*e[5]+e[12]*e[7]*e[11]+e[6]*e[10]*e[14]-e[12]*e[1]*e[17];
A[157]=e[12]*e[30]*e[24]+e[12]*e[21]*e[33]+e[12]*e[31]*e[25]+e[12]*e[22]*e[34]+e[12]*e[32]*e[26]+e[12]*e[23]*e[35]+e[9]*e[27]*e[24]+e[9]*e[18]*e[33]+e[9]*e[28]*e[25]+e[9]*e[19]*e[34]+e[9]*e[29]*e[26]+e[9]*e[20]*e[35]+e[21]*e[30]*e[15]+e[21]*e[32]*e[17]+e[21]*e[14]*e[35]+e[21]*e[31]*e[16]+e[21]*e[13]*e[34]+e[30]*e[23]*e[17]+e[30]*e[14]*e[26]+e[30]*e[22]*e[16]+e[30]*e[13]*e[25]+e[15]*e[27]*e[18]+3.*e[15]*e[33]*e[24]-1.*e[15]*e[29]*e[20]+e[15]*e[35]*e[26]-1.*e[15]*e[31]*e[22]-1.*e[15]*e[32]*e[23]-1.*e[15]*e[28]*e[19]+e[15]*e[34]*e[25]+e[18]*e[29]*e[17]+e[18]*e[11]*e[35]+e[18]*e[28]*e[16]+e[18]*e[10]*e[34]+e[27]*e[20]*e[17]+e[27]*e[11]*e[26]+e[27]*e[19]*e[16]+e[27]*e[10]*e[25]-1.*e[24]*e[28]*e[10]-1.*e[24]*e[31]*e[13]-1.*e[24]*e[32]*e[14]+e[24]*e[34]*e[16]+e[24]*e[35]*e[17]-1.*e[24]*e[29]*e[11]-1.*e[33]*e[23]*e[14]+e[33]*e[25]*e[16]+e[33]*e[26]*e[17]-1.*e[33]*e[20]*e[11]-1.*e[33]*e[19]*e[10]-1.*e[33]*e[22]*e[13];
A[14]=e[18]*e[13]*e[17]+e[9]*e[13]*e[26]+e[9]*e[22]*e[17]-e[9]*e[14]*e[25]-e[18]*e[14]*e[16]-e[15]*e[13]*e[20]-e[15]*e[22]*e[11]+e[12]*e[16]*e[20]+e[12]*e[25]*e[11]-e[12]*e[10]*e[26]-e[12]*e[19]*e[17]+e[21]*e[16]*e[11]-e[21]*e[10]*e[17]-e[9]*e[23]*e[16]+e[24]*e[10]*e[14]-e[24]*e[13]*e[11]+e[15]*e[10]*e[23]+e[15]*e[19]*e[14];
A[156]=e[21]*e[12]*e[24]+e[21]*e[23]*e[17]+e[21]*e[14]*e[26]+e[21]*e[22]*e[16]+e[21]*e[13]*e[25]+e[24]*e[26]*e[17]+e[24]*e[25]*e[16]+e[9]*e[19]*e[25]+e[9]*e[18]*e[24]+e[9]*e[20]*e[26]+e[12]*e[22]*e[25]+e[12]*e[23]*e[26]+e[18]*e[20]*e[17]+e[18]*e[11]*e[26]+e[18]*e[19]*e[16]+e[18]*e[10]*e[25]-1.*e[24]*e[23]*e[14]-1.*e[24]*e[20]*e[11]-1.*e[24]*e[19]*e[10]-1.*e[24]*e[22]*e[13]+.5000000000*ep2[21]*e[15]+1.500000000*ep2[24]*e[15]+.5000000000*e[15]*ep2[25]+.5000000000*e[15]*ep2[26]+.5000000000*e[15]*ep2[18]-.5000000000*e[15]*ep2[23]-.5000000000*e[15]*ep2[19]-.5000000000*e[15]*ep2[20]-.5000000000*e[15]*ep2[22];
A[18]=e[6]*e[1]*e[14]+e[15]*e[1]*e[5]-e[0]*e[5]*e[16]-e[0]*e[14]*e[7]+e[0]*e[13]*e[8]-e[15]*e[4]*e[2]+e[12]*e[7]*e[2]+e[6]*e[10]*e[5]+e[3]*e[7]*e[11]-e[6]*e[4]*e[11]+e[3]*e[16]*e[2]-e[6]*e[13]*e[2]-e[3]*e[1]*e[17]-e[9]*e[5]*e[7]-e[3]*e[10]*e[8]-e[12]*e[1]*e[8]+e[0]*e[4]*e[17]+e[9]*e[4]*e[8];
A[128]=-.5000000000*e[14]*ep2[16]-.5000000000*e[14]*ep2[10]-.5000000000*e[14]*ep2[9]+e[11]*e[9]*e[12]+.5000000000*ep3[14]+e[17]*e[13]*e[16]+.5000000000*e[14]*ep2[12]+e[11]*e[10]*e[13]-.5000000000*e[14]*ep2[15]+.5000000000*e[14]*ep2[17]+e[17]*e[12]*e[15]+.5000000000*ep2[11]*e[14]+.5000000000*e[14]*ep2[13];
A[19]=-e[21]*e[19]*e[8]+e[18]*e[4]*e[26]-e[18]*e[5]*e[25]-e[18]*e[23]*e[7]+e[21]*e[25]*e[2]-e[21]*e[1]*e[26]+e[6]*e[19]*e[23]+e[18]*e[22]*e[8]-e[0]*e[23]*e[25]-e[6]*e[22]*e[20]+e[24]*e[1]*e[23]+e[24]*e[19]*e[5]-e[24]*e[4]*e[20]-e[24]*e[22]*e[2]+e[3]*e[25]*e[20]-e[3]*e[19]*e[26]+e[0]*e[22]*e[26]+e[21]*e[7]*e[20];
A[129]=.5000000000*ep2[20]*e[32]+1.500000000*e[32]*ep2[23]+.5000000000*e[32]*ep2[22]+.5000000000*e[32]*ep2[21]+.5000000000*e[32]*ep2[26]-.5000000000*e[32]*ep2[18]-.5000000000*e[32]*ep2[19]-.5000000000*e[32]*ep2[24]-.5000000000*e[32]*ep2[25]+e[20]*e[27]*e[21]+e[20]*e[18]*e[30]+e[20]*e[28]*e[22]+e[20]*e[19]*e[31]+e[20]*e[29]*e[23]+e[29]*e[19]*e[22]+e[29]*e[18]*e[21]+e[23]*e[30]*e[21]+e[23]*e[31]*e[22]+e[26]*e[30]*e[24]+e[26]*e[21]*e[33]+e[26]*e[31]*e[25]+e[26]*e[22]*e[34]+e[26]*e[23]*e[35]+e[35]*e[22]*e[25]+e[35]*e[21]*e[24]-1.*e[23]*e[27]*e[18]-1.*e[23]*e[33]*e[24]-1.*e[23]*e[28]*e[19]-1.*e[23]*e[34]*e[25];
A[16]=-e[9]*e[23]*e[25]-e[21]*e[10]*e[26]-e[21]*e[19]*e[17]-e[18]*e[23]*e[16]+e[18]*e[13]*e[26]+e[12]*e[25]*e[20]-e[12]*e[19]*e[26]-e[15]*e[22]*e[20]+e[21]*e[16]*e[20]+e[21]*e[25]*e[11]+e[24]*e[10]*e[23]+e[24]*e[19]*e[14]-e[24]*e[13]*e[20]-e[24]*e[22]*e[11]+e[18]*e[22]*e[17]-e[18]*e[14]*e[25]+e[9]*e[22]*e[26]+e[15]*e[19]*e[23];
A[130]=.5000000000*e[23]*ep2[21]+e[20]*e[19]*e[22]+e[20]*e[18]*e[21]+.5000000000*ep3[23]+e[26]*e[22]*e[25]+.5000000000*e[23]*ep2[26]-.5000000000*e[23]*ep2[18]+.5000000000*e[23]*ep2[22]-.5000000000*e[23]*ep2[19]+e[26]*e[21]*e[24]+.5000000000*ep2[20]*e[23]-.5000000000*e[23]*ep2[24]-.5000000000*e[23]*ep2[25];
A[17]=e[18]*e[13]*e[35]-e[18]*e[32]*e[16]+e[18]*e[31]*e[17]-e[18]*e[14]*e[34]+e[27]*e[13]*e[26]+e[27]*e[22]*e[17]-e[27]*e[14]*e[25]-e[27]*e[23]*e[16]-e[9]*e[32]*e[25]+e[9]*e[22]*e[35]-e[9]*e[23]*e[34]+e[9]*e[31]*e[26]+e[15]*e[19]*e[32]+e[15]*e[28]*e[23]-e[15]*e[22]*e[29]-e[15]*e[31]*e[20]+e[24]*e[10]*e[32]+e[24]*e[28]*e[14]-e[24]*e[13]*e[29]-e[24]*e[31]*e[11]+e[33]*e[10]*e[23]+e[33]*e[19]*e[14]-e[33]*e[13]*e[20]-e[33]*e[22]*e[11]+e[21]*e[16]*e[29]-e[21]*e[10]*e[35]-e[21]*e[28]*e[17]+e[30]*e[16]*e[20]+e[30]*e[25]*e[11]-e[30]*e[10]*e[26]-e[30]*e[19]*e[17]-e[12]*e[28]*e[26]-e[12]*e[19]*e[35]+e[12]*e[34]*e[20]+e[12]*e[25]*e[29]+e[21]*e[34]*e[11];
A[131]=-1.*e[32]*e[10]*e[1]+e[32]*e[13]*e[4]-1.*e[32]*e[16]*e[7]-1.*e[32]*e[15]*e[6]-1.*e[32]*e[9]*e[0]+e[32]*e[12]*e[3]+e[17]*e[30]*e[6]+e[17]*e[3]*e[33]+e[17]*e[31]*e[7]+e[17]*e[4]*e[34]+e[17]*e[5]*e[35]-1.*e[5]*e[27]*e[9]-1.*e[5]*e[28]*e[10]-1.*e[5]*e[33]*e[15]-1.*e[5]*e[34]*e[16]+e[5]*e[29]*e[11]+e[35]*e[12]*e[6]+e[35]*e[3]*e[15]+e[35]*e[13]*e[7]+e[35]*e[4]*e[16]+e[11]*e[27]*e[3]+e[11]*e[0]*e[30]+e[11]*e[28]*e[4]+e[11]*e[1]*e[31]+e[29]*e[9]*e[3]+e[29]*e[0]*e[12]+e[29]*e[10]*e[4]+e[29]*e[1]*e[13]+e[5]*e[30]*e[12]+3.*e[5]*e[32]*e[14]+e[5]*e[31]*e[13]+e[8]*e[30]*e[15]+e[8]*e[12]*e[33]+e[8]*e[32]*e[17]+e[8]*e[14]*e[35]+e[8]*e[31]*e[16]+e[8]*e[13]*e[34]+e[2]*e[27]*e[12]+e[2]*e[9]*e[30]+e[2]*e[29]*e[14]+e[2]*e[11]*e[32]+e[2]*e[28]*e[13]+e[2]*e[10]*e[31]-1.*e[14]*e[27]*e[0]-1.*e[14]*e[34]*e[7]-1.*e[14]*e[33]*e[6]+e[14]*e[30]*e[3]-1.*e[14]*e[28]*e[1]+e[14]*e[31]*e[4];
A[22]=.5000000000*e[18]*ep2[29]+.5000000000*e[18]*ep2[28]+.5000000000*e[18]*ep2[30]+.5000000000*e[18]*ep2[33]-.5000000000*e[18]*ep2[32]-.5000000000*e[18]*ep2[31]-.5000000000*e[18]*ep2[34]-.5000000000*e[18]*ep2[35]+1.500000000*e[18]*ep2[27]+e[27]*e[28]*e[19]+e[27]*e[29]*e[20]+e[21]*e[27]*e[30]+e[21]*e[29]*e[32]+e[21]*e[28]*e[31]+e[30]*e[28]*e[22]+e[30]*e[19]*e[31]+e[30]*e[29]*e[23]+e[30]*e[20]*e[32]+e[24]*e[27]*e[33]+e[24]*e[29]*e[35]+e[24]*e[28]*e[34]+e[33]*e[28]*e[25]+e[33]*e[19]*e[34]+e[33]*e[29]*e[26]+e[33]*e[20]*e[35]-1.*e[27]*e[35]*e[26]-1.*e[27]*e[31]*e[22]-1.*e[27]*e[32]*e[23]-1.*e[27]*e[34]*e[25];
A[132]=e[20]*e[1]*e[4]+e[20]*e[0]*e[3]+e[20]*e[2]*e[5]+e[5]*e[21]*e[3]+e[5]*e[22]*e[4]+e[8]*e[21]*e[6]+e[8]*e[3]*e[24]+e[8]*e[22]*e[7]+e[8]*e[4]*e[25]+e[8]*e[5]*e[26]+e[26]*e[4]*e[7]+e[26]*e[3]*e[6]+e[2]*e[18]*e[3]+e[2]*e[0]*e[21]+e[2]*e[19]*e[4]+e[2]*e[1]*e[22]-1.*e[5]*e[19]*e[1]-1.*e[5]*e[18]*e[0]-1.*e[5]*e[25]*e[7]-1.*e[5]*e[24]*e[6]+.5000000000*e[23]*ep2[4]-.5000000000*e[23]*ep2[0]-.5000000000*e[23]*ep2[6]+1.500000000*e[23]*ep2[5]-.5000000000*e[23]*ep2[1]-.5000000000*e[23]*ep2[7]+.5000000000*e[23]*ep2[3]+.5000000000*e[23]*ep2[2]+.5000000000*e[23]*ep2[8];
A[23]=1.500000000*e[9]*ep2[27]+.5000000000*e[9]*ep2[29]+.5000000000*e[9]*ep2[28]-.5000000000*e[9]*ep2[32]-.5000000000*e[9]*ep2[31]+.5000000000*e[9]*ep2[33]+.5000000000*e[9]*ep2[30]-.5000000000*e[9]*ep2[34]-.5000000000*e[9]*ep2[35]+e[33]*e[27]*e[15]+e[33]*e[29]*e[17]+e[33]*e[11]*e[35]+e[33]*e[28]*e[16]+e[33]*e[10]*e[34]+e[27]*e[29]*e[11]+e[27]*e[28]*e[10]+e[27]*e[30]*e[12]-1.*e[27]*e[31]*e[13]-1.*e[27]*e[32]*e[14]-1.*e[27]*e[34]*e[16]-1.*e[27]*e[35]*e[17]+e[30]*e[29]*e[14]+e[30]*e[11]*e[32]+e[30]*e[28]*e[13]+e[30]*e[10]*e[31]+e[12]*e[29]*e[32]+e[12]*e[28]*e[31]+e[15]*e[29]*e[35]+e[15]*e[28]*e[34];
A[133]=-1.*e[32]*e[24]*e[6]+e[8]*e[30]*e[24]+e[8]*e[21]*e[33]+e[8]*e[31]*e[25]+e[8]*e[22]*e[34]+e[26]*e[30]*e[6]+e[26]*e[3]*e[33]+e[26]*e[31]*e[7]+e[26]*e[4]*e[34]+e[26]*e[32]*e[8]+e[26]*e[5]*e[35]+e[35]*e[21]*e[6]+e[35]*e[3]*e[24]+e[35]*e[22]*e[7]+e[35]*e[4]*e[25]+e[35]*e[23]*e[8]+e[2]*e[27]*e[21]+e[2]*e[18]*e[30]+e[2]*e[28]*e[22]+e[2]*e[19]*e[31]+e[2]*e[29]*e[23]+e[2]*e[20]*e[32]+e[20]*e[27]*e[3]+e[20]*e[0]*e[30]+e[20]*e[28]*e[4]+e[20]*e[1]*e[31]+e[20]*e[29]*e[5]+e[29]*e[18]*e[3]+e[29]*e[0]*e[21]+e[29]*e[19]*e[4]+e[29]*e[1]*e[22]+e[5]*e[30]*e[21]+e[5]*e[31]*e[22]+3.*e[5]*e[32]*e[23]-1.*e[5]*e[27]*e[18]-1.*e[5]*e[33]*e[24]-1.*e[5]*e[28]*e[19]-1.*e[5]*e[34]*e[25]-1.*e[23]*e[27]*e[0]-1.*e[23]*e[34]*e[7]-1.*e[23]*e[33]*e[6]+e[23]*e[30]*e[3]-1.*e[23]*e[28]*e[1]+e[23]*e[31]*e[4]+e[32]*e[21]*e[3]-1.*e[32]*e[19]*e[1]+e[32]*e[22]*e[4]-1.*e[32]*e[18]*e[0]-1.*e[32]*e[25]*e[7];
A[20]=.5000000000*e[27]*ep2[33]-.5000000000*e[27]*ep2[32]-.5000000000*e[27]*ep2[31]-.5000000000*e[27]*ep2[34]-.5000000000*e[27]*ep2[35]+e[33]*e[29]*e[35]+.5000000000*e[27]*ep2[29]+e[30]*e[29]*e[32]+e[30]*e[28]*e[31]+e[33]*e[28]*e[34]+.5000000000*e[27]*ep2[28]+.5000000000*e[27]*ep2[30]+.5000000000*ep3[27];
A[134]=e[14]*e[21]*e[12]+e[14]*e[22]*e[13]+e[17]*e[21]*e[15]+e[17]*e[12]*e[24]+e[17]*e[14]*e[26]+e[17]*e[22]*e[16]+e[17]*e[13]*e[25]+e[26]*e[12]*e[15]+e[26]*e[13]*e[16]-1.*e[14]*e[24]*e[15]-1.*e[14]*e[25]*e[16]-1.*e[14]*e[18]*e[9]-1.*e[14]*e[19]*e[10]+e[11]*e[18]*e[12]+e[11]*e[9]*e[21]+e[11]*e[19]*e[13]+e[11]*e[10]*e[22]+e[20]*e[11]*e[14]+e[20]*e[9]*e[12]+e[20]*e[10]*e[13]+1.500000000*e[23]*ep2[14]+.5000000000*e[23]*ep2[12]+.5000000000*e[23]*ep2[13]+.5000000000*e[23]*ep2[17]+.5000000000*ep2[11]*e[23]-.5000000000*e[23]*ep2[16]-.5000000000*e[23]*ep2[9]-.5000000000*e[23]*ep2[15]-.5000000000*e[23]*ep2[10];
A[21]=1.500000000*e[0]*ep2[27]+.5000000000*e[0]*ep2[29]+.5000000000*e[0]*ep2[28]+.5000000000*e[0]*ep2[30]-.5000000000*e[0]*ep2[32]-.5000000000*e[0]*ep2[31]+.5000000000*e[0]*ep2[33]-.5000000000*e[0]*ep2[34]-.5000000000*e[0]*ep2[35]-1.*e[27]*e[31]*e[4]+e[3]*e[27]*e[30]+e[3]*e[29]*e[32]+e[3]*e[28]*e[31]+e[30]*e[28]*e[4]+e[30]*e[1]*e[31]+e[30]*e[29]*e[5]+e[30]*e[2]*e[32]+e[6]*e[27]*e[33]+e[6]*e[29]*e[35]+e[6]*e[28]*e[34]+e[27]*e[28]*e[1]+e[27]*e[29]*e[2]+e[33]*e[28]*e[7]+e[33]*e[1]*e[34]+e[33]*e[29]*e[8]+e[33]*e[2]*e[35]-1.*e[27]*e[34]*e[7]-1.*e[27]*e[32]*e[5]-1.*e[27]*e[35]*e[8];
A[135]=e[14]*e[12]*e[3]+e[14]*e[13]*e[4]+e[17]*e[12]*e[6]+e[17]*e[3]*e[15]+e[17]*e[13]*e[7]+e[17]*e[4]*e[16]+e[17]*e[14]*e[8]+e[8]*e[12]*e[15]+e[8]*e[13]*e[16]+e[2]*e[11]*e[14]+e[2]*e[9]*e[12]+e[2]*e[10]*e[13]+e[11]*e[9]*e[3]+e[11]*e[0]*e[12]+e[11]*e[10]*e[4]+e[11]*e[1]*e[13]-1.*e[14]*e[10]*e[1]-1.*e[14]*e[16]*e[7]-1.*e[14]*e[15]*e[6]-1.*e[14]*e[9]*e[0]-.5000000000*e[5]*ep2[16]-.5000000000*e[5]*ep2[9]+.5000000000*e[5]*ep2[11]+.5000000000*e[5]*ep2[12]-.5000000000*e[5]*ep2[15]-.5000000000*e[5]*ep2[10]+.5000000000*e[5]*ep2[13]+1.500000000*ep2[14]*e[5]+.5000000000*e[5]*ep2[17];
A[27]=1.500000000*e[27]*ep2[9]-.5000000000*e[27]*ep2[16]+.5000000000*e[27]*ep2[11]+.5000000000*e[27]*ep2[12]+.5000000000*e[27]*ep2[15]-.5000000000*e[27]*ep2[17]+.5000000000*e[27]*ep2[10]-.5000000000*e[27]*ep2[14]-.5000000000*e[27]*ep2[13]+e[12]*e[10]*e[31]+e[30]*e[11]*e[14]+e[30]*e[10]*e[13]+e[15]*e[9]*e[33]+e[15]*e[29]*e[17]+e[15]*e[11]*e[35]+e[15]*e[28]*e[16]+e[15]*e[10]*e[34]+e[33]*e[11]*e[17]+e[33]*e[10]*e[16]-1.*e[9]*e[31]*e[13]-1.*e[9]*e[32]*e[14]-1.*e[9]*e[34]*e[16]-1.*e[9]*e[35]*e[17]+e[9]*e[29]*e[11]+e[9]*e[28]*e[10]+e[12]*e[9]*e[30]+e[12]*e[29]*e[14]+e[12]*e[11]*e[32]+e[12]*e[28]*e[13];
A[137]=e[29]*e[18]*e[12]+e[29]*e[9]*e[21]+e[29]*e[19]*e[13]+e[29]*e[10]*e[22]+e[17]*e[30]*e[24]+e[17]*e[21]*e[33]+e[17]*e[31]*e[25]+e[17]*e[22]*e[34]+e[17]*e[32]*e[26]+e[17]*e[23]*e[35]-1.*e[23]*e[27]*e[9]-1.*e[23]*e[28]*e[10]-1.*e[23]*e[33]*e[15]-1.*e[23]*e[34]*e[16]-1.*e[32]*e[24]*e[15]-1.*e[32]*e[25]*e[16]-1.*e[32]*e[18]*e[9]-1.*e[32]*e[19]*e[10]+e[26]*e[30]*e[15]+e[26]*e[12]*e[33]+e[26]*e[31]*e[16]+e[26]*e[13]*e[34]+e[35]*e[21]*e[15]+e[35]*e[12]*e[24]+e[35]*e[22]*e[16]+e[35]*e[13]*e[25]+e[14]*e[30]*e[21]+e[14]*e[31]*e[22]+3.*e[14]*e[32]*e[23]+e[11]*e[27]*e[21]+e[11]*e[18]*e[30]+e[11]*e[28]*e[22]+e[11]*e[19]*e[31]+e[11]*e[29]*e[23]+e[11]*e[20]*e[32]+e[23]*e[30]*e[12]+e[23]*e[31]*e[13]+e[32]*e[21]*e[12]+e[32]*e[22]*e[13]-1.*e[14]*e[27]*e[18]-1.*e[14]*e[33]*e[24]+e[14]*e[29]*e[20]+e[14]*e[35]*e[26]-1.*e[14]*e[28]*e[19]-1.*e[14]*e[34]*e[25]+e[20]*e[27]*e[12]+e[20]*e[9]*e[30]+e[20]*e[28]*e[13]+e[20]*e[10]*e[31];
A[26]=.5000000000*e[0]*ep2[1]+.5000000000*e[0]*ep2[2]+e[6]*e[2]*e[8]+e[6]*e[1]*e[7]+.5000000000*e[0]*ep2[3]+e[3]*e[1]*e[4]+.5000000000*e[0]*ep2[6]+e[3]*e[2]*e[5]-.5000000000*e[0]*ep2[5]-.5000000000*e[0]*ep2[8]+.5000000000*ep3[0]-.5000000000*e[0]*ep2[7]-.5000000000*e[0]*ep2[4];
A[136]=1.500000000*ep2[23]*e[14]+.5000000000*e[14]*ep2[26]-.5000000000*e[14]*ep2[18]-.5000000000*e[14]*ep2[19]+.5000000000*e[14]*ep2[20]+.5000000000*e[14]*ep2[22]-.5000000000*e[14]*ep2[24]+.5000000000*e[14]*ep2[21]-.5000000000*e[14]*ep2[25]+e[23]*e[21]*e[12]+e[23]*e[22]*e[13]+e[26]*e[21]*e[15]+e[26]*e[12]*e[24]+e[26]*e[23]*e[17]+e[26]*e[22]*e[16]+e[26]*e[13]*e[25]+e[17]*e[22]*e[25]+e[17]*e[21]*e[24]+e[11]*e[19]*e[22]+e[11]*e[18]*e[21]+e[11]*e[20]*e[23]+e[20]*e[18]*e[12]+e[20]*e[9]*e[21]+e[20]*e[19]*e[13]+e[20]*e[10]*e[22]-1.*e[23]*e[24]*e[15]-1.*e[23]*e[25]*e[16]-1.*e[23]*e[18]*e[9]-1.*e[23]*e[19]*e[10];
A[25]=1.500000000*e[27]*ep2[0]-.5000000000*e[27]*ep2[4]+.5000000000*e[27]*ep2[6]-.5000000000*e[27]*ep2[5]+.5000000000*e[27]*ep2[1]-.5000000000*e[27]*ep2[7]+.5000000000*e[27]*ep2[3]+.5000000000*e[27]*ep2[2]-.5000000000*e[27]*ep2[8]+e[0]*e[33]*e[6]+e[0]*e[30]*e[3]-1.*e[0]*e[35]*e[8]-1.*e[0]*e[31]*e[4]+e[3]*e[28]*e[4]+e[3]*e[1]*e[31]+e[3]*e[29]*e[5]+e[3]*e[2]*e[32]+e[30]*e[1]*e[4]+e[30]*e[2]*e[5]+e[6]*e[28]*e[7]+e[6]*e[1]*e[34]+e[6]*e[29]*e[8]+e[6]*e[2]*e[35]+e[33]*e[1]*e[7]+e[33]*e[2]*e[8]+e[0]*e[28]*e[1]+e[0]*e[29]*e[2]-1.*e[0]*e[34]*e[7]-1.*e[0]*e[32]*e[5];
A[139]=e[8]*e[22]*e[25]+e[8]*e[21]*e[24]+e[20]*e[18]*e[3]+e[20]*e[0]*e[21]+e[20]*e[19]*e[4]+e[20]*e[1]*e[22]+e[20]*e[2]*e[23]+e[23]*e[21]*e[3]+e[23]*e[22]*e[4]+e[23]*e[26]*e[8]-1.*e[23]*e[19]*e[1]-1.*e[23]*e[18]*e[0]-1.*e[23]*e[25]*e[7]-1.*e[23]*e[24]*e[6]+e[2]*e[19]*e[22]+e[2]*e[18]*e[21]+e[26]*e[21]*e[6]+e[26]*e[3]*e[24]+e[26]*e[22]*e[7]+e[26]*e[4]*e[25]+.5000000000*ep2[20]*e[5]+1.500000000*ep2[23]*e[5]+.5000000000*e[5]*ep2[22]+.5000000000*e[5]*ep2[21]+.5000000000*e[5]*ep2[26]-.5000000000*e[5]*ep2[18]-.5000000000*e[5]*ep2[19]-.5000000000*e[5]*ep2[24]-.5000000000*e[5]*ep2[25];
A[24]=e[24]*e[11]*e[8]+e[24]*e[2]*e[17]+3.*e[9]*e[18]*e[0]+e[9]*e[19]*e[1]+e[9]*e[20]*e[2]+e[18]*e[10]*e[1]+e[18]*e[11]*e[2]+e[3]*e[18]*e[12]+e[3]*e[9]*e[21]+e[3]*e[20]*e[14]+e[3]*e[11]*e[23]+e[3]*e[19]*e[13]+e[3]*e[10]*e[22]+e[6]*e[18]*e[15]+e[6]*e[9]*e[24]+e[6]*e[20]*e[17]+e[6]*e[11]*e[26]+e[6]*e[19]*e[16]+e[6]*e[10]*e[25]+e[0]*e[20]*e[11]+e[0]*e[19]*e[10]-1.*e[9]*e[26]*e[8]-1.*e[9]*e[22]*e[4]-1.*e[9]*e[25]*e[7]-1.*e[9]*e[23]*e[5]+e[12]*e[0]*e[21]+e[12]*e[19]*e[4]+e[12]*e[1]*e[22]+e[12]*e[20]*e[5]+e[12]*e[2]*e[23]-1.*e[18]*e[13]*e[4]-1.*e[18]*e[16]*e[7]-1.*e[18]*e[14]*e[5]-1.*e[18]*e[17]*e[8]+e[21]*e[10]*e[4]+e[21]*e[1]*e[13]+e[21]*e[11]*e[5]+e[21]*e[2]*e[14]+e[15]*e[0]*e[24]+e[15]*e[19]*e[7]+e[15]*e[1]*e[25]+e[15]*e[20]*e[8]+e[15]*e[2]*e[26]-1.*e[0]*e[23]*e[14]-1.*e[0]*e[25]*e[16]-1.*e[0]*e[26]*e[17]-1.*e[0]*e[22]*e[13]+e[24]*e[10]*e[7]+e[24]*e[1]*e[16];
A[138]=e[11]*e[1]*e[4]+e[11]*e[0]*e[3]+e[11]*e[2]*e[5]+e[5]*e[12]*e[3]+e[5]*e[13]*e[4]+e[8]*e[12]*e[6]+e[8]*e[3]*e[15]+e[8]*e[13]*e[7]+e[8]*e[4]*e[16]+e[8]*e[5]*e[17]+e[17]*e[4]*e[7]+e[17]*e[3]*e[6]-1.*e[5]*e[10]*e[1]-1.*e[5]*e[16]*e[7]-1.*e[5]*e[15]*e[6]-1.*e[5]*e[9]*e[0]+e[2]*e[9]*e[3]+e[2]*e[0]*e[12]+e[2]*e[10]*e[4]+e[2]*e[1]*e[13]+.5000000000*ep2[2]*e[14]-.5000000000*e[14]*ep2[0]-.5000000000*e[14]*ep2[6]-.5000000000*e[14]*ep2[1]-.5000000000*e[14]*ep2[7]+1.500000000*e[14]*ep2[5]+.5000000000*e[14]*ep2[4]+.5000000000*e[14]*ep2[3]+.5000000000*e[14]*ep2[8];
A[31]=e[3]*e[27]*e[12]+e[3]*e[9]*e[30]+e[3]*e[29]*e[14]+e[3]*e[11]*e[32]+e[3]*e[28]*e[13]+e[3]*e[10]*e[31]+e[6]*e[27]*e[15]+e[6]*e[9]*e[33]+e[6]*e[29]*e[17]+e[6]*e[11]*e[35]+e[6]*e[28]*e[16]+e[6]*e[10]*e[34]+3.*e[0]*e[27]*e[9]+e[0]*e[29]*e[11]+e[0]*e[28]*e[10]-1.*e[9]*e[34]*e[7]-1.*e[9]*e[32]*e[5]-1.*e[9]*e[35]*e[8]+e[9]*e[29]*e[2]+e[9]*e[28]*e[1]-1.*e[9]*e[31]*e[4]+e[12]*e[0]*e[30]+e[12]*e[28]*e[4]+e[12]*e[1]*e[31]+e[12]*e[29]*e[5]+e[12]*e[2]*e[32]+e[27]*e[11]*e[2]+e[27]*e[10]*e[1]-1.*e[27]*e[13]*e[4]-1.*e[27]*e[16]*e[7]-1.*e[27]*e[14]*e[5]-1.*e[27]*e[17]*e[8]+e[30]*e[10]*e[4]+e[30]*e[1]*e[13]+e[30]*e[11]*e[5]+e[30]*e[2]*e[14]+e[15]*e[0]*e[33]+e[15]*e[28]*e[7]+e[15]*e[1]*e[34]+e[15]*e[29]*e[8]+e[15]*e[2]*e[35]-1.*e[0]*e[31]*e[13]-1.*e[0]*e[32]*e[14]-1.*e[0]*e[34]*e[16]-1.*e[0]*e[35]*e[17]+e[33]*e[10]*e[7]+e[33]*e[1]*e[16]+e[33]*e[11]*e[8]+e[33]*e[2]*e[17];
A[141]=.5000000000*ep2[30]*e[6]+.5000000000*e[6]*ep2[27]-.5000000000*e[6]*ep2[32]-.5000000000*e[6]*ep2[28]-.5000000000*e[6]*ep2[29]-.5000000000*e[6]*ep2[31]+1.500000000*e[6]*ep2[33]+.5000000000*e[6]*ep2[34]+.5000000000*e[6]*ep2[35]+e[0]*e[27]*e[33]+e[0]*e[29]*e[35]+e[0]*e[28]*e[34]+e[3]*e[30]*e[33]+e[3]*e[32]*e[35]+e[3]*e[31]*e[34]+e[30]*e[31]*e[7]+e[30]*e[4]*e[34]+e[30]*e[32]*e[8]+e[30]*e[5]*e[35]+e[27]*e[28]*e[7]+e[27]*e[1]*e[34]+e[27]*e[29]*e[8]+e[27]*e[2]*e[35]+e[33]*e[34]*e[7]+e[33]*e[35]*e[8]-1.*e[33]*e[32]*e[5]-1.*e[33]*e[29]*e[2]-1.*e[33]*e[28]*e[1]-1.*e[33]*e[31]*e[4];
A[30]=e[24]*e[20]*e[26]+e[21]*e[19]*e[22]-.5000000000*e[18]*ep2[22]-.5000000000*e[18]*ep2[25]+.5000000000*ep3[18]+.5000000000*e[18]*ep2[21]+e[21]*e[20]*e[23]+.5000000000*e[18]*ep2[20]+.5000000000*e[18]*ep2[19]+.5000000000*e[18]*ep2[24]+e[24]*e[19]*e[25]-.5000000000*e[18]*ep2[23]-.5000000000*e[18]*ep2[26];
A[140]=.5000000000*e[33]*ep2[35]+.5000000000*ep3[33]+.5000000000*ep2[27]*e[33]+.5000000000*ep2[30]*e[33]-.5000000000*e[33]*ep2[29]+.5000000000*e[33]*ep2[34]-.5000000000*e[33]*ep2[32]-.5000000000*e[33]*ep2[28]+e[30]*e[32]*e[35]-.5000000000*e[33]*ep2[31]+e[27]*e[29]*e[35]+e[27]*e[28]*e[34]+e[30]*e[31]*e[34];
A[29]=1.500000000*e[27]*ep2[18]+.5000000000*e[27]*ep2[19]+.5000000000*e[27]*ep2[20]+.5000000000*e[27]*ep2[21]+.5000000000*e[27]*ep2[24]-.5000000000*e[27]*ep2[26]-.5000000000*e[27]*ep2[23]-.5000000000*e[27]*ep2[22]-.5000000000*e[27]*ep2[25]+e[33]*e[20]*e[26]-1.*e[18]*e[35]*e[26]-1.*e[18]*e[31]*e[22]-1.*e[18]*e[32]*e[23]-1.*e[18]*e[34]*e[25]+e[18]*e[28]*e[19]+e[18]*e[29]*e[20]+e[21]*e[18]*e[30]+e[21]*e[28]*e[22]+e[21]*e[19]*e[31]+e[21]*e[29]*e[23]+e[21]*e[20]*e[32]+e[30]*e[19]*e[22]+e[30]*e[20]*e[23]+e[24]*e[18]*e[33]+e[24]*e[28]*e[25]+e[24]*e[19]*e[34]+e[24]*e[29]*e[26]+e[24]*e[20]*e[35]+e[33]*e[19]*e[25];
A[143]=e[9]*e[27]*e[33]+e[9]*e[29]*e[35]+e[9]*e[28]*e[34]+e[33]*e[35]*e[17]+e[33]*e[34]*e[16]+e[27]*e[29]*e[17]+e[27]*e[11]*e[35]+e[27]*e[28]*e[16]+e[27]*e[10]*e[34]+e[33]*e[30]*e[12]-1.*e[33]*e[28]*e[10]-1.*e[33]*e[31]*e[13]-1.*e[33]*e[32]*e[14]-1.*e[33]*e[29]*e[11]+e[30]*e[32]*e[17]+e[30]*e[14]*e[35]+e[30]*e[31]*e[16]+e[30]*e[13]*e[34]+e[12]*e[32]*e[35]+e[12]*e[31]*e[34]+.5000000000*e[15]*ep2[27]-.5000000000*e[15]*ep2[32]-.5000000000*e[15]*ep2[28]-.5000000000*e[15]*ep2[29]-.5000000000*e[15]*ep2[31]+1.500000000*e[15]*ep2[33]+.5000000000*e[15]*ep2[30]+.5000000000*e[15]*ep2[34]+.5000000000*e[15]*ep2[35];
A[28]=.5000000000*e[9]*ep2[12]-.5000000000*e[9]*ep2[16]+.5000000000*e[9]*ep2[10]-.5000000000*e[9]*ep2[17]-.5000000000*e[9]*ep2[13]+e[15]*e[10]*e[16]+e[12]*e[11]*e[14]+.5000000000*e[9]*ep2[11]+.5000000000*e[9]*ep2[15]-.5000000000*e[9]*ep2[14]+e[15]*e[11]*e[17]+.5000000000*ep3[9]+e[12]*e[10]*e[13];
A[142]=e[18]*e[27]*e[33]+e[18]*e[29]*e[35]+e[18]*e[28]*e[34]+e[27]*e[28]*e[25]+e[27]*e[19]*e[34]+e[27]*e[29]*e[26]+e[27]*e[20]*e[35]+e[21]*e[30]*e[33]+e[21]*e[32]*e[35]+e[21]*e[31]*e[34]+e[30]*e[31]*e[25]+e[30]*e[22]*e[34]+e[30]*e[32]*e[26]+e[30]*e[23]*e[35]+e[33]*e[34]*e[25]+e[33]*e[35]*e[26]-1.*e[33]*e[29]*e[20]-1.*e[33]*e[31]*e[22]-1.*e[33]*e[32]*e[23]-1.*e[33]*e[28]*e[19]+.5000000000*ep2[27]*e[24]+.5000000000*ep2[30]*e[24]+1.500000000*e[24]*ep2[33]+.5000000000*e[24]*ep2[35]+.5000000000*e[24]*ep2[34]-.5000000000*e[24]*ep2[32]-.5000000000*e[24]*ep2[28]-.5000000000*e[24]*ep2[29]-.5000000000*e[24]*ep2[31];
A[36]=.5000000000*e[9]*ep2[21]+.5000000000*e[9]*ep2[24]+.5000000000*e[9]*ep2[19]+1.500000000*e[9]*ep2[18]+.5000000000*e[9]*ep2[20]-.5000000000*e[9]*ep2[26]-.5000000000*e[9]*ep2[23]-.5000000000*e[9]*ep2[22]-.5000000000*e[9]*ep2[25]+e[21]*e[18]*e[12]+e[21]*e[20]*e[14]+e[21]*e[11]*e[23]+e[21]*e[19]*e[13]+e[21]*e[10]*e[22]+e[24]*e[18]*e[15]+e[24]*e[20]*e[17]+e[24]*e[11]*e[26]+e[24]*e[19]*e[16]+e[24]*e[10]*e[25]+e[15]*e[19]*e[25]+e[15]*e[20]*e[26]+e[12]*e[19]*e[22]+e[12]*e[20]*e[23]+e[18]*e[20]*e[11]+e[18]*e[19]*e[10]-1.*e[18]*e[23]*e[14]-1.*e[18]*e[25]*e[16]-1.*e[18]*e[26]*e[17]-1.*e[18]*e[22]*e[13];
A[182]=.5000000000*ep2[29]*e[26]+.5000000000*ep2[32]*e[26]+.5000000000*e[26]*ep2[33]+1.500000000*e[26]*ep2[35]+.5000000000*e[26]*ep2[34]-.5000000000*e[26]*ep2[27]-.5000000000*e[26]*ep2[28]-.5000000000*e[26]*ep2[31]-.5000000000*e[26]*ep2[30]+e[20]*e[27]*e[33]+e[20]*e[29]*e[35]+e[20]*e[28]*e[34]+e[29]*e[27]*e[24]+e[29]*e[18]*e[33]+e[29]*e[28]*e[25]+e[29]*e[19]*e[34]+e[23]*e[30]*e[33]+e[23]*e[32]*e[35]+e[23]*e[31]*e[34]+e[32]*e[30]*e[24]+e[32]*e[21]*e[33]+e[32]*e[31]*e[25]+e[32]*e[22]*e[34]+e[35]*e[33]*e[24]+e[35]*e[34]*e[25]-1.*e[35]*e[27]*e[18]-1.*e[35]*e[30]*e[21]-1.*e[35]*e[31]*e[22]-1.*e[35]*e[28]*e[19];
A[37]=e[12]*e[19]*e[31]+e[12]*e[29]*e[23]+e[12]*e[20]*e[32]+3.*e[9]*e[27]*e[18]+e[9]*e[28]*e[19]+e[9]*e[29]*e[20]+e[21]*e[9]*e[30]+e[21]*e[29]*e[14]+e[21]*e[11]*e[32]+e[21]*e[28]*e[13]+e[21]*e[10]*e[31]+e[30]*e[20]*e[14]+e[30]*e[11]*e[23]+e[30]*e[19]*e[13]+e[30]*e[10]*e[22]+e[9]*e[33]*e[24]-1.*e[9]*e[35]*e[26]-1.*e[9]*e[31]*e[22]-1.*e[9]*e[32]*e[23]-1.*e[9]*e[34]*e[25]+e[18]*e[29]*e[11]+e[18]*e[28]*e[10]+e[27]*e[20]*e[11]+e[27]*e[19]*e[10]+e[15]*e[27]*e[24]+e[15]*e[18]*e[33]+e[15]*e[28]*e[25]+e[15]*e[19]*e[34]+e[15]*e[29]*e[26]+e[15]*e[20]*e[35]-1.*e[18]*e[31]*e[13]-1.*e[18]*e[32]*e[14]-1.*e[18]*e[34]*e[16]-1.*e[18]*e[35]*e[17]-1.*e[27]*e[23]*e[14]-1.*e[27]*e[25]*e[16]-1.*e[27]*e[26]*e[17]-1.*e[27]*e[22]*e[13]+e[24]*e[29]*e[17]+e[24]*e[11]*e[35]+e[24]*e[28]*e[16]+e[24]*e[10]*e[34]+e[33]*e[20]*e[17]+e[33]*e[11]*e[26]+e[33]*e[19]*e[16]+e[33]*e[10]*e[25]+e[12]*e[27]*e[21]+e[12]*e[18]*e[30]+e[12]*e[28]*e[22];
A[183]=-.5000000000*e[17]*ep2[27]+.5000000000*e[17]*ep2[32]-.5000000000*e[17]*ep2[28]+.5000000000*e[17]*ep2[29]-.5000000000*e[17]*ep2[31]+.5000000000*e[17]*ep2[33]-.5000000000*e[17]*ep2[30]+.5000000000*e[17]*ep2[34]+1.500000000*e[17]*ep2[35]+e[32]*e[30]*e[15]+e[32]*e[12]*e[33]+e[32]*e[31]*e[16]+e[32]*e[13]*e[34]+e[14]*e[30]*e[33]+e[14]*e[31]*e[34]+e[11]*e[27]*e[33]+e[11]*e[29]*e[35]+e[11]*e[28]*e[34]+e[35]*e[33]*e[15]+e[35]*e[34]*e[16]+e[29]*e[27]*e[15]+e[29]*e[9]*e[33]+e[29]*e[28]*e[16]+e[29]*e[10]*e[34]-1.*e[35]*e[27]*e[9]-1.*e[35]*e[30]*e[12]-1.*e[35]*e[28]*e[10]-1.*e[35]*e[31]*e[13]+e[35]*e[32]*e[14];
A[38]=.5000000000*e[9]*ep2[1]+1.500000000*e[9]*ep2[0]+.5000000000*e[9]*ep2[2]+.5000000000*e[9]*ep2[3]+.5000000000*e[9]*ep2[6]-.5000000000*e[9]*ep2[4]-.5000000000*e[9]*ep2[5]-.5000000000*e[9]*ep2[7]-.5000000000*e[9]*ep2[8]+e[6]*e[0]*e[15]+e[6]*e[10]*e[7]+e[6]*e[1]*e[16]+e[6]*e[11]*e[8]+e[6]*e[2]*e[17]+e[15]*e[1]*e[7]+e[15]*e[2]*e[8]+e[0]*e[11]*e[2]+e[0]*e[10]*e[1]-1.*e[0]*e[13]*e[4]-1.*e[0]*e[16]*e[7]-1.*e[0]*e[14]*e[5]-1.*e[0]*e[17]*e[8]+e[3]*e[0]*e[12]+e[3]*e[10]*e[4]+e[3]*e[1]*e[13]+e[3]*e[11]*e[5]+e[3]*e[2]*e[14]+e[12]*e[1]*e[4]+e[12]*e[2]*e[5];
A[180]=.5000000000*e[35]*ep2[33]+.5000000000*e[35]*ep2[34]-.5000000000*e[35]*ep2[27]-.5000000000*e[35]*ep2[28]-.5000000000*e[35]*ep2[31]-.5000000000*e[35]*ep2[30]+e[32]*e[31]*e[34]+.5000000000*ep2[29]*e[35]+.5000000000*ep2[32]*e[35]+e[29]*e[28]*e[34]+e[32]*e[30]*e[33]+.5000000000*ep3[35]+e[29]*e[27]*e[33];
A[39]=.5000000000*e[0]*ep2[19]+.5000000000*e[0]*ep2[20]+.5000000000*e[0]*ep2[24]-.5000000000*e[0]*ep2[26]-.5000000000*e[0]*ep2[23]-.5000000000*e[0]*ep2[22]-.5000000000*e[0]*ep2[25]+1.500000000*ep2[18]*e[0]+.5000000000*e[0]*ep2[21]+e[18]*e[19]*e[1]+e[18]*e[20]*e[2]+e[21]*e[18]*e[3]+e[21]*e[19]*e[4]+e[21]*e[1]*e[22]+e[21]*e[20]*e[5]+e[21]*e[2]*e[23]-1.*e[18]*e[26]*e[8]-1.*e[18]*e[22]*e[4]-1.*e[18]*e[25]*e[7]-1.*e[18]*e[23]*e[5]+e[18]*e[24]*e[6]+e[3]*e[19]*e[22]+e[3]*e[20]*e[23]+e[24]*e[19]*e[7]+e[24]*e[1]*e[25]+e[24]*e[20]*e[8]+e[24]*e[2]*e[26]+e[6]*e[19]*e[25]+e[6]*e[20]*e[26];
A[181]=.5000000000*ep2[32]*e[8]-.5000000000*e[8]*ep2[27]-.5000000000*e[8]*ep2[28]+.5000000000*e[8]*ep2[29]-.5000000000*e[8]*ep2[31]+.5000000000*e[8]*ep2[33]-.5000000000*e[8]*ep2[30]+.5000000000*e[8]*ep2[34]+1.500000000*e[8]*ep2[35]+e[2]*e[27]*e[33]+e[2]*e[29]*e[35]+e[2]*e[28]*e[34]+e[5]*e[30]*e[33]+e[5]*e[32]*e[35]+e[5]*e[31]*e[34]+e[32]*e[30]*e[6]+e[32]*e[3]*e[33]+e[32]*e[31]*e[7]+e[32]*e[4]*e[34]+e[29]*e[27]*e[6]+e[29]*e[0]*e[33]+e[29]*e[28]*e[7]+e[29]*e[1]*e[34]+e[35]*e[33]*e[6]+e[35]*e[34]*e[7]-1.*e[35]*e[27]*e[0]-1.*e[35]*e[30]*e[3]-1.*e[35]*e[28]*e[1]-1.*e[35]*e[31]*e[4];
A[32]=-.5000000000*e[18]*ep2[4]+1.500000000*e[18]*ep2[0]+.5000000000*e[18]*ep2[6]-.5000000000*e[18]*ep2[5]+.5000000000*e[18]*ep2[1]-.5000000000*e[18]*ep2[7]+.5000000000*e[18]*ep2[3]+.5000000000*e[18]*ep2[2]-.5000000000*e[18]*ep2[8]+e[3]*e[0]*e[21]+e[3]*e[19]*e[4]+e[3]*e[1]*e[22]+e[3]*e[20]*e[5]+e[3]*e[2]*e[23]+e[21]*e[1]*e[4]+e[21]*e[2]*e[5]+e[6]*e[0]*e[24]+e[6]*e[19]*e[7]+e[6]*e[1]*e[25]+e[6]*e[20]*e[8]+e[6]*e[2]*e[26]+e[24]*e[1]*e[7]+e[24]*e[2]*e[8]+e[0]*e[19]*e[1]+e[0]*e[20]*e[2]-1.*e[0]*e[26]*e[8]-1.*e[0]*e[22]*e[4]-1.*e[0]*e[25]*e[7]-1.*e[0]*e[23]*e[5];
A[178]=e[10]*e[1]*e[7]+e[10]*e[0]*e[6]+e[10]*e[2]*e[8]+e[4]*e[12]*e[6]+e[4]*e[3]*e[15]+e[4]*e[13]*e[7]+e[4]*e[14]*e[8]+e[4]*e[5]*e[17]+e[13]*e[3]*e[6]+e[13]*e[5]*e[8]+e[7]*e[15]*e[6]+e[7]*e[17]*e[8]-1.*e[7]*e[11]*e[2]-1.*e[7]*e[9]*e[0]-1.*e[7]*e[14]*e[5]-1.*e[7]*e[12]*e[3]+e[1]*e[9]*e[6]+e[1]*e[0]*e[15]+e[1]*e[11]*e[8]+e[1]*e[2]*e[17]+1.500000000*e[16]*ep2[7]+.5000000000*e[16]*ep2[6]+.5000000000*e[16]*ep2[8]+.5000000000*ep2[1]*e[16]-.5000000000*e[16]*ep2[0]-.5000000000*e[16]*ep2[5]-.5000000000*e[16]*ep2[3]-.5000000000*e[16]*ep2[2]+.5000000000*ep2[4]*e[16];
A[33]=e[0]*e[30]*e[21]-1.*e[0]*e[35]*e[26]-1.*e[0]*e[31]*e[22]-1.*e[0]*e[32]*e[23]-1.*e[0]*e[34]*e[25]-1.*e[18]*e[34]*e[7]-1.*e[18]*e[32]*e[5]-1.*e[18]*e[35]*e[8]-1.*e[18]*e[31]*e[4]-1.*e[27]*e[26]*e[8]-1.*e[27]*e[22]*e[4]-1.*e[27]*e[25]*e[7]-1.*e[27]*e[23]*e[5]+e[6]*e[28]*e[25]+e[6]*e[19]*e[34]+e[6]*e[29]*e[26]+e[6]*e[20]*e[35]+e[21]*e[28]*e[4]+e[21]*e[1]*e[31]+e[21]*e[29]*e[5]+e[21]*e[2]*e[32]+e[30]*e[19]*e[4]+e[30]*e[1]*e[22]+e[30]*e[20]*e[5]+e[30]*e[2]*e[23]+e[24]*e[27]*e[6]+e[24]*e[0]*e[33]+e[24]*e[28]*e[7]+e[24]*e[1]*e[34]+e[24]*e[29]*e[8]+e[24]*e[2]*e[35]+e[33]*e[18]*e[6]+e[33]*e[19]*e[7]+e[33]*e[1]*e[25]+e[33]*e[20]*e[8]+e[33]*e[2]*e[26]+3.*e[0]*e[27]*e[18]+e[0]*e[28]*e[19]+e[0]*e[29]*e[20]+e[18]*e[28]*e[1]+e[18]*e[29]*e[2]+e[27]*e[19]*e[1]+e[27]*e[20]*e[2]+e[3]*e[27]*e[21]+e[3]*e[18]*e[30]+e[3]*e[28]*e[22]+e[3]*e[19]*e[31]+e[3]*e[29]*e[23]+e[3]*e[20]*e[32];
A[179]=e[19]*e[18]*e[6]+e[19]*e[0]*e[24]+e[19]*e[1]*e[25]+e[19]*e[20]*e[8]+e[19]*e[2]*e[26]+e[22]*e[21]*e[6]+e[22]*e[3]*e[24]+e[22]*e[4]*e[25]+e[22]*e[23]*e[8]+e[22]*e[5]*e[26]-1.*e[25]*e[21]*e[3]+e[25]*e[26]*e[8]-1.*e[25]*e[20]*e[2]-1.*e[25]*e[18]*e[0]-1.*e[25]*e[23]*e[5]+e[25]*e[24]*e[6]+e[1]*e[18]*e[24]+e[1]*e[20]*e[26]+e[4]*e[21]*e[24]+e[4]*e[23]*e[26]+.5000000000*ep2[19]*e[7]+.5000000000*ep2[22]*e[7]+1.500000000*ep2[25]*e[7]+.5000000000*e[7]*ep2[26]-.5000000000*e[7]*ep2[18]-.5000000000*e[7]*ep2[23]-.5000000000*e[7]*ep2[20]+.5000000000*e[7]*ep2[24]-.5000000000*e[7]*ep2[21];
A[34]=.5000000000*e[18]*ep2[11]+1.500000000*e[18]*ep2[9]+.5000000000*e[18]*ep2[10]+.5000000000*e[18]*ep2[12]+.5000000000*e[18]*ep2[15]-.5000000000*e[18]*ep2[16]-.5000000000*e[18]*ep2[17]-.5000000000*e[18]*ep2[14]-.5000000000*e[18]*ep2[13]+e[12]*e[9]*e[21]+e[12]*e[20]*e[14]+e[12]*e[11]*e[23]+e[12]*e[19]*e[13]+e[12]*e[10]*e[22]+e[21]*e[11]*e[14]+e[21]*e[10]*e[13]+e[15]*e[9]*e[24]+e[15]*e[20]*e[17]+e[15]*e[11]*e[26]+e[15]*e[19]*e[16]+e[15]*e[10]*e[25]+e[24]*e[11]*e[17]+e[24]*e[10]*e[16]-1.*e[9]*e[23]*e[14]-1.*e[9]*e[25]*e[16]-1.*e[9]*e[26]*e[17]+e[9]*e[20]*e[11]+e[9]*e[19]*e[10]-1.*e[9]*e[22]*e[13];
A[176]=e[13]*e[21]*e[24]+e[13]*e[23]*e[26]+e[19]*e[18]*e[15]+e[19]*e[9]*e[24]+e[19]*e[20]*e[17]+e[19]*e[11]*e[26]-1.*e[25]*e[23]*e[14]-1.*e[25]*e[20]*e[11]-1.*e[25]*e[18]*e[9]-1.*e[25]*e[21]*e[12]+e[22]*e[21]*e[15]+e[22]*e[12]*e[24]+e[22]*e[23]*e[17]+e[22]*e[14]*e[26]+e[22]*e[13]*e[25]+e[25]*e[24]*e[15]+e[25]*e[26]*e[17]+e[10]*e[19]*e[25]+e[10]*e[18]*e[24]+e[10]*e[20]*e[26]-.5000000000*e[16]*ep2[18]-.5000000000*e[16]*ep2[23]+.5000000000*e[16]*ep2[19]-.5000000000*e[16]*ep2[20]-.5000000000*e[16]*ep2[21]+.5000000000*ep2[22]*e[16]+1.500000000*ep2[25]*e[16]+.5000000000*e[16]*ep2[24]+.5000000000*e[16]*ep2[26];
A[35]=.5000000000*e[0]*ep2[12]+.5000000000*e[0]*ep2[15]+.5000000000*e[0]*ep2[11]+1.500000000*e[0]*ep2[9]+.5000000000*e[0]*ep2[10]-.5000000000*e[0]*ep2[16]-.5000000000*e[0]*ep2[17]-.5000000000*e[0]*ep2[14]-.5000000000*e[0]*ep2[13]+e[12]*e[9]*e[3]+e[12]*e[10]*e[4]+e[12]*e[1]*e[13]+e[12]*e[11]*e[5]+e[12]*e[2]*e[14]+e[15]*e[9]*e[6]+e[15]*e[10]*e[7]+e[15]*e[1]*e[16]+e[15]*e[11]*e[8]+e[15]*e[2]*e[17]+e[6]*e[11]*e[17]+e[6]*e[10]*e[16]+e[3]*e[11]*e[14]+e[3]*e[10]*e[13]+e[9]*e[10]*e[1]+e[9]*e[11]*e[2]-1.*e[9]*e[13]*e[4]-1.*e[9]*e[16]*e[7]-1.*e[9]*e[14]*e[5]-1.*e[9]*e[17]*e[8];
A[177]=e[19]*e[11]*e[35]+e[28]*e[18]*e[15]+e[28]*e[9]*e[24]+e[28]*e[20]*e[17]+e[28]*e[11]*e[26]-1.*e[25]*e[27]*e[9]-1.*e[25]*e[30]*e[12]-1.*e[25]*e[32]*e[14]+e[25]*e[33]*e[15]+e[25]*e[35]*e[17]-1.*e[25]*e[29]*e[11]-1.*e[34]*e[23]*e[14]+e[34]*e[24]*e[15]+e[34]*e[26]*e[17]-1.*e[34]*e[20]*e[11]-1.*e[34]*e[18]*e[9]-1.*e[34]*e[21]*e[12]+e[13]*e[30]*e[24]+e[13]*e[21]*e[33]+e[13]*e[31]*e[25]+e[13]*e[22]*e[34]+e[13]*e[32]*e[26]+e[13]*e[23]*e[35]+e[10]*e[27]*e[24]+e[10]*e[18]*e[33]+e[10]*e[28]*e[25]+e[10]*e[19]*e[34]+e[10]*e[29]*e[26]+e[10]*e[20]*e[35]+e[22]*e[30]*e[15]+e[22]*e[12]*e[33]+e[22]*e[32]*e[17]+e[22]*e[14]*e[35]+e[22]*e[31]*e[16]+e[31]*e[21]*e[15]+e[31]*e[12]*e[24]+e[31]*e[23]*e[17]+e[31]*e[14]*e[26]-1.*e[16]*e[27]*e[18]+e[16]*e[33]*e[24]-1.*e[16]*e[30]*e[21]-1.*e[16]*e[29]*e[20]+e[16]*e[35]*e[26]-1.*e[16]*e[32]*e[23]+e[16]*e[28]*e[19]+3.*e[16]*e[34]*e[25]+e[19]*e[27]*e[15]+e[19]*e[9]*e[33]+e[19]*e[29]*e[17];
A[45]=e[4]*e[27]*e[3]+e[4]*e[0]*e[30]+e[4]*e[29]*e[5]+e[4]*e[2]*e[32]+e[31]*e[0]*e[3]+e[31]*e[2]*e[5]+e[7]*e[27]*e[6]+e[7]*e[0]*e[33]+e[7]*e[29]*e[8]+e[7]*e[2]*e[35]+e[34]*e[0]*e[6]+e[34]*e[2]*e[8]+e[1]*e[27]*e[0]+e[1]*e[29]*e[2]+e[1]*e[34]*e[7]-1.*e[1]*e[32]*e[5]-1.*e[1]*e[33]*e[6]-1.*e[1]*e[30]*e[3]-1.*e[1]*e[35]*e[8]+e[1]*e[31]*e[4]+1.500000000*e[28]*ep2[1]+.5000000000*e[28]*ep2[4]+.5000000000*e[28]*ep2[0]-.5000000000*e[28]*ep2[6]-.5000000000*e[28]*ep2[5]+.5000000000*e[28]*ep2[7]-.5000000000*e[28]*ep2[3]+.5000000000*e[28]*ep2[2]-.5000000000*e[28]*ep2[8];
A[191]=-1.*e[35]*e[10]*e[1]-1.*e[35]*e[13]*e[4]+e[35]*e[16]*e[7]+e[35]*e[15]*e[6]-1.*e[35]*e[9]*e[0]-1.*e[35]*e[12]*e[3]+e[32]*e[12]*e[6]+e[32]*e[3]*e[15]+e[32]*e[13]*e[7]+e[32]*e[4]*e[16]-1.*e[8]*e[27]*e[9]-1.*e[8]*e[30]*e[12]-1.*e[8]*e[28]*e[10]-1.*e[8]*e[31]*e[13]+e[8]*e[29]*e[11]+e[11]*e[27]*e[6]+e[11]*e[0]*e[33]+e[11]*e[28]*e[7]+e[11]*e[1]*e[34]+e[29]*e[9]*e[6]+e[29]*e[0]*e[15]+e[29]*e[10]*e[7]+e[29]*e[1]*e[16]+e[5]*e[30]*e[15]+e[5]*e[12]*e[33]+e[5]*e[32]*e[17]+e[5]*e[14]*e[35]+e[5]*e[31]*e[16]+e[5]*e[13]*e[34]+e[8]*e[33]*e[15]+3.*e[8]*e[35]*e[17]+e[8]*e[34]*e[16]+e[2]*e[27]*e[15]+e[2]*e[9]*e[33]+e[2]*e[29]*e[17]+e[2]*e[11]*e[35]+e[2]*e[28]*e[16]+e[2]*e[10]*e[34]-1.*e[17]*e[27]*e[0]+e[17]*e[34]*e[7]+e[17]*e[33]*e[6]-1.*e[17]*e[30]*e[3]-1.*e[17]*e[28]*e[1]-1.*e[17]*e[31]*e[4]+e[14]*e[30]*e[6]+e[14]*e[3]*e[33]+e[14]*e[31]*e[7]+e[14]*e[4]*e[34]+e[14]*e[32]*e[8];
A[44]=e[19]*e[11]*e[2]+e[4]*e[18]*e[12]+e[4]*e[9]*e[21]+e[4]*e[20]*e[14]+e[4]*e[11]*e[23]+e[4]*e[19]*e[13]+e[4]*e[10]*e[22]+e[7]*e[18]*e[15]+e[7]*e[9]*e[24]+e[7]*e[20]*e[17]+e[7]*e[11]*e[26]+e[7]*e[19]*e[16]+e[7]*e[10]*e[25]+e[1]*e[18]*e[9]+e[1]*e[20]*e[11]-1.*e[10]*e[21]*e[3]-1.*e[10]*e[26]*e[8]-1.*e[10]*e[23]*e[5]-1.*e[10]*e[24]*e[6]+e[13]*e[18]*e[3]+e[13]*e[0]*e[21]+e[13]*e[1]*e[22]+e[13]*e[20]*e[5]+e[13]*e[2]*e[23]-1.*e[19]*e[15]*e[6]-1.*e[19]*e[14]*e[5]-1.*e[19]*e[12]*e[3]-1.*e[19]*e[17]*e[8]+e[22]*e[9]*e[3]+e[22]*e[0]*e[12]+e[22]*e[11]*e[5]+e[22]*e[2]*e[14]+e[16]*e[18]*e[6]+e[16]*e[0]*e[24]+e[16]*e[1]*e[25]+e[16]*e[20]*e[8]+e[16]*e[2]*e[26]-1.*e[1]*e[23]*e[14]-1.*e[1]*e[24]*e[15]-1.*e[1]*e[26]*e[17]-1.*e[1]*e[21]*e[12]+e[25]*e[9]*e[6]+e[25]*e[0]*e[15]+e[25]*e[11]*e[8]+e[25]*e[2]*e[17]+e[10]*e[18]*e[0]+3.*e[10]*e[19]*e[1]+e[10]*e[20]*e[2]+e[19]*e[9]*e[0];
A[190]=.5000000000*ep2[23]*e[26]+.5000000000*e[26]*ep2[25]+.5000000000*ep2[20]*e[26]-.5000000000*e[26]*ep2[18]+.5000000000*ep3[26]+.5000000000*e[26]*ep2[24]+e[20]*e[19]*e[25]-.5000000000*e[26]*ep2[19]-.5000000000*e[26]*ep2[21]+e[20]*e[18]*e[24]-.5000000000*e[26]*ep2[22]+e[23]*e[21]*e[24]+e[23]*e[22]*e[25];
A[47]=e[16]*e[9]*e[33]+e[16]*e[29]*e[17]+e[16]*e[11]*e[35]+e[16]*e[10]*e[34]+e[34]*e[11]*e[17]+e[34]*e[9]*e[15]-1.*e[10]*e[30]*e[12]-1.*e[10]*e[32]*e[14]-1.*e[10]*e[33]*e[15]-1.*e[10]*e[35]*e[17]+e[10]*e[27]*e[9]+e[10]*e[29]*e[11]+e[13]*e[27]*e[12]+e[13]*e[9]*e[30]+e[13]*e[29]*e[14]+e[13]*e[11]*e[32]+e[13]*e[10]*e[31]+e[31]*e[11]*e[14]+e[31]*e[9]*e[12]+e[16]*e[27]*e[15]+1.500000000*e[28]*ep2[10]+.5000000000*e[28]*ep2[16]+.5000000000*e[28]*ep2[9]+.5000000000*e[28]*ep2[11]-.5000000000*e[28]*ep2[12]-.5000000000*e[28]*ep2[15]-.5000000000*e[28]*ep2[17]-.5000000000*e[28]*ep2[14]+.5000000000*e[28]*ep2[13];
A[189]=.5000000000*ep2[20]*e[35]+.5000000000*ep2[23]*e[35]+1.500000000*e[35]*ep2[26]+.5000000000*e[35]*ep2[25]+.5000000000*e[35]*ep2[24]-.5000000000*e[35]*ep2[18]-.5000000000*e[35]*ep2[19]-.5000000000*e[35]*ep2[22]-.5000000000*e[35]*ep2[21]+e[20]*e[27]*e[24]+e[20]*e[18]*e[33]+e[20]*e[28]*e[25]+e[20]*e[19]*e[34]+e[20]*e[29]*e[26]+e[29]*e[19]*e[25]+e[29]*e[18]*e[24]+e[23]*e[30]*e[24]+e[23]*e[21]*e[33]+e[23]*e[31]*e[25]+e[23]*e[22]*e[34]+e[23]*e[32]*e[26]+e[32]*e[22]*e[25]+e[32]*e[21]*e[24]+e[26]*e[33]*e[24]+e[26]*e[34]*e[25]-1.*e[26]*e[27]*e[18]-1.*e[26]*e[30]*e[21]-1.*e[26]*e[31]*e[22]-1.*e[26]*e[28]*e[19];
A[46]=e[4]*e[2]*e[5]+.5000000000*e[1]*ep2[0]-.5000000000*e[1]*ep2[6]+e[7]*e[0]*e[6]+.5000000000*e[1]*ep2[7]+.5000000000*e[1]*ep2[4]-.5000000000*e[1]*ep2[8]+.5000000000*e[1]*ep2[2]-.5000000000*e[1]*ep2[3]+.5000000000*ep3[1]+e[7]*e[2]*e[8]-.5000000000*e[1]*ep2[5]+e[4]*e[0]*e[3];
A[188]=-.5000000000*e[17]*ep2[13]-.5000000000*e[17]*ep2[9]+.5000000000*e[17]*ep2[16]+.5000000000*e[17]*ep2[15]+.5000000000*ep3[17]-.5000000000*e[17]*ep2[10]+e[14]*e[13]*e[16]+e[14]*e[12]*e[15]+.5000000000*ep2[14]*e[17]+e[11]*e[10]*e[16]-.5000000000*e[17]*ep2[12]+.5000000000*ep2[11]*e[17]+e[11]*e[9]*e[15];
A[41]=e[4]*e[27]*e[30]+e[4]*e[29]*e[32]+e[4]*e[28]*e[31]+e[31]*e[27]*e[3]+e[31]*e[0]*e[30]+e[31]*e[29]*e[5]+e[31]*e[2]*e[32]+e[7]*e[27]*e[33]+e[7]*e[29]*e[35]+e[7]*e[28]*e[34]+e[28]*e[27]*e[0]+e[28]*e[29]*e[2]+e[34]*e[27]*e[6]+e[34]*e[0]*e[33]+e[34]*e[29]*e[8]+e[34]*e[2]*e[35]-1.*e[28]*e[32]*e[5]-1.*e[28]*e[33]*e[6]-1.*e[28]*e[30]*e[3]-1.*e[28]*e[35]*e[8]+.5000000000*e[1]*ep2[27]+.5000000000*e[1]*ep2[29]+1.500000000*e[1]*ep2[28]+.5000000000*e[1]*ep2[31]-.5000000000*e[1]*ep2[32]-.5000000000*e[1]*ep2[33]-.5000000000*e[1]*ep2[30]+.5000000000*e[1]*ep2[34]-.5000000000*e[1]*ep2[35];
A[187]=.5000000000*ep2[11]*e[35]+.5000000000*e[35]*ep2[16]-.5000000000*e[35]*ep2[9]-.5000000000*e[35]*ep2[12]+.5000000000*e[35]*ep2[15]+1.500000000*e[35]*ep2[17]-.5000000000*e[35]*ep2[10]+.5000000000*e[35]*ep2[14]-.5000000000*e[35]*ep2[13]+e[11]*e[27]*e[15]+e[11]*e[9]*e[33]+e[11]*e[29]*e[17]+e[11]*e[28]*e[16]+e[11]*e[10]*e[34]+e[29]*e[9]*e[15]+e[29]*e[10]*e[16]+e[14]*e[30]*e[15]+e[14]*e[12]*e[33]+e[14]*e[32]*e[17]+e[14]*e[31]*e[16]+e[14]*e[13]*e[34]+e[32]*e[12]*e[15]+e[32]*e[13]*e[16]+e[17]*e[33]*e[15]+e[17]*e[34]*e[16]-1.*e[17]*e[27]*e[9]-1.*e[17]*e[30]*e[12]-1.*e[17]*e[28]*e[10]-1.*e[17]*e[31]*e[13];
A[40]=e[34]*e[27]*e[33]+e[34]*e[29]*e[35]-.5000000000*e[28]*ep2[30]-.5000000000*e[28]*ep2[35]+.5000000000*ep3[28]+.5000000000*e[28]*ep2[27]+.5000000000*e[28]*ep2[29]+e[31]*e[27]*e[30]+e[31]*e[29]*e[32]-.5000000000*e[28]*ep2[32]-.5000000000*e[28]*ep2[33]+.5000000000*e[28]*ep2[31]+.5000000000*e[28]*ep2[34];
A[186]=.5000000000*ep2[5]*e[8]+e[2]*e[0]*e[6]+.5000000000*ep2[2]*e[8]+.5000000000*ep3[8]-.5000000000*e[8]*ep2[0]+e[5]*e[4]*e[7]+e[5]*e[3]*e[6]+.5000000000*e[8]*ep2[7]+e[2]*e[1]*e[7]-.5000000000*e[8]*ep2[1]-.5000000000*e[8]*ep2[4]-.5000000000*e[8]*ep2[3]+.5000000000*e[8]*ep2[6];
A[43]=e[28]*e[27]*e[9]+e[28]*e[29]*e[11]-1.*e[28]*e[30]*e[12]+e[28]*e[31]*e[13]-1.*e[28]*e[32]*e[14]-1.*e[28]*e[33]*e[15]-1.*e[28]*e[35]*e[17]+e[31]*e[27]*e[12]+e[31]*e[9]*e[30]+e[31]*e[29]*e[14]+e[31]*e[11]*e[32]+e[13]*e[27]*e[30]+e[13]*e[29]*e[32]+e[16]*e[27]*e[33]+e[16]*e[29]*e[35]+e[34]*e[27]*e[15]+e[34]*e[9]*e[33]+e[34]*e[29]*e[17]+e[34]*e[11]*e[35]+e[34]*e[28]*e[16]+.5000000000*e[10]*ep2[27]+.5000000000*e[10]*ep2[29]+1.500000000*e[10]*ep2[28]-.5000000000*e[10]*ep2[32]+.5000000000*e[10]*ep2[31]-.5000000000*e[10]*ep2[33]-.5000000000*e[10]*ep2[30]+.5000000000*e[10]*ep2[34]-.5000000000*e[10]*ep2[35];
A[185]=-.5000000000*e[35]*ep2[1]+.5000000000*e[35]*ep2[7]-.5000000000*e[35]*ep2[3]+.5000000000*ep2[2]*e[35]+1.500000000*e[35]*ep2[8]-.5000000000*e[35]*ep2[4]-.5000000000*e[35]*ep2[0]+.5000000000*e[35]*ep2[6]+.5000000000*e[35]*ep2[5]+e[2]*e[27]*e[6]+e[2]*e[0]*e[33]+e[2]*e[28]*e[7]+e[2]*e[1]*e[34]+e[2]*e[29]*e[8]-1.*e[8]*e[27]*e[0]+e[8]*e[34]*e[7]+e[8]*e[32]*e[5]+e[8]*e[33]*e[6]-1.*e[8]*e[30]*e[3]-1.*e[8]*e[28]*e[1]-1.*e[8]*e[31]*e[4]+e[29]*e[1]*e[7]+e[29]*e[0]*e[6]+e[5]*e[30]*e[6]+e[5]*e[3]*e[33]+e[5]*e[31]*e[7]+e[5]*e[4]*e[34]+e[32]*e[4]*e[7]+e[32]*e[3]*e[6];
A[42]=e[28]*e[27]*e[18]+e[28]*e[29]*e[20]+e[22]*e[27]*e[30]+e[22]*e[29]*e[32]+e[22]*e[28]*e[31]+e[31]*e[27]*e[21]+e[31]*e[18]*e[30]+e[31]*e[29]*e[23]+e[31]*e[20]*e[32]+e[25]*e[27]*e[33]+e[25]*e[29]*e[35]+e[25]*e[28]*e[34]+e[34]*e[27]*e[24]+e[34]*e[18]*e[33]+e[34]*e[29]*e[26]+e[34]*e[20]*e[35]-1.*e[28]*e[33]*e[24]-1.*e[28]*e[30]*e[21]-1.*e[28]*e[35]*e[26]-1.*e[28]*e[32]*e[23]-.5000000000*e[19]*ep2[33]-.5000000000*e[19]*ep2[30]-.5000000000*e[19]*ep2[35]+.5000000000*e[19]*ep2[27]+.5000000000*e[19]*ep2[29]+1.500000000*e[19]*ep2[28]+.5000000000*e[19]*ep2[31]+.5000000000*e[19]*ep2[34]-.5000000000*e[19]*ep2[32];
A[184]=e[23]*e[3]*e[15]-1.*e[17]*e[19]*e[1]-1.*e[17]*e[22]*e[4]-1.*e[17]*e[18]*e[0]+e[17]*e[25]*e[7]+e[17]*e[24]*e[6]+e[14]*e[21]*e[6]+e[14]*e[3]*e[24]+e[14]*e[22]*e[7]+e[14]*e[4]*e[25]+e[14]*e[23]*e[8]-1.*e[26]*e[10]*e[1]-1.*e[26]*e[13]*e[4]+e[26]*e[16]*e[7]+e[26]*e[15]*e[6]-1.*e[26]*e[9]*e[0]-1.*e[26]*e[12]*e[3]+e[23]*e[12]*e[6]+e[11]*e[18]*e[6]+e[11]*e[0]*e[24]+e[11]*e[19]*e[7]+e[11]*e[1]*e[25]+e[11]*e[20]*e[8]+e[11]*e[2]*e[26]+e[20]*e[9]*e[6]+e[20]*e[0]*e[15]+e[20]*e[10]*e[7]+e[20]*e[1]*e[16]+e[20]*e[2]*e[17]+e[5]*e[21]*e[15]+e[5]*e[12]*e[24]+e[5]*e[23]*e[17]+e[5]*e[14]*e[26]+e[5]*e[22]*e[16]+e[5]*e[13]*e[25]+e[8]*e[24]*e[15]+3.*e[8]*e[26]*e[17]+e[8]*e[25]*e[16]+e[2]*e[18]*e[15]+e[2]*e[9]*e[24]+e[2]*e[19]*e[16]+e[2]*e[10]*e[25]-1.*e[17]*e[21]*e[3]+e[23]*e[4]*e[16]+e[23]*e[13]*e[7]-1.*e[8]*e[18]*e[9]-1.*e[8]*e[21]*e[12]-1.*e[8]*e[19]*e[10]-1.*e[8]*e[22]*e[13];
A[54]=e[13]*e[18]*e[12]+e[13]*e[9]*e[21]+e[13]*e[20]*e[14]+e[13]*e[11]*e[23]+e[13]*e[10]*e[22]+e[22]*e[11]*e[14]+e[22]*e[9]*e[12]+e[16]*e[18]*e[15]+e[16]*e[9]*e[24]+e[16]*e[20]*e[17]+e[16]*e[11]*e[26]+e[16]*e[10]*e[25]+e[25]*e[11]*e[17]+e[25]*e[9]*e[15]-1.*e[10]*e[23]*e[14]-1.*e[10]*e[24]*e[15]-1.*e[10]*e[26]*e[17]+e[10]*e[20]*e[11]+e[10]*e[18]*e[9]-1.*e[10]*e[21]*e[12]+.5000000000*e[19]*ep2[11]+.5000000000*e[19]*ep2[9]+1.500000000*e[19]*ep2[10]+.5000000000*e[19]*ep2[13]+.5000000000*e[19]*ep2[16]-.5000000000*e[19]*ep2[12]-.5000000000*e[19]*ep2[15]-.5000000000*e[19]*ep2[17]-.5000000000*e[19]*ep2[14];
A[164]=e[10]*e[18]*e[6]+e[10]*e[0]*e[24]+e[10]*e[19]*e[7]+e[10]*e[1]*e[25]+e[10]*e[20]*e[8]+e[10]*e[2]*e[26]+e[19]*e[9]*e[6]+e[19]*e[0]*e[15]+e[19]*e[1]*e[16]+e[19]*e[11]*e[8]+e[19]*e[2]*e[17]+e[4]*e[21]*e[15]+e[4]*e[12]*e[24]+e[4]*e[23]*e[17]+e[4]*e[14]*e[26]+e[4]*e[22]*e[16]+e[4]*e[13]*e[25]+e[7]*e[24]*e[15]+e[7]*e[26]*e[17]+3.*e[7]*e[25]*e[16]+e[1]*e[18]*e[15]+e[1]*e[9]*e[24]+e[1]*e[20]*e[17]+e[1]*e[11]*e[26]-1.*e[16]*e[21]*e[3]+e[16]*e[26]*e[8]-1.*e[16]*e[20]*e[2]-1.*e[16]*e[18]*e[0]-1.*e[16]*e[23]*e[5]+e[16]*e[24]*e[6]+e[13]*e[21]*e[6]+e[13]*e[3]*e[24]+e[13]*e[22]*e[7]+e[13]*e[23]*e[8]+e[13]*e[5]*e[26]-1.*e[25]*e[11]*e[2]+e[25]*e[15]*e[6]-1.*e[25]*e[9]*e[0]-1.*e[25]*e[14]*e[5]-1.*e[25]*e[12]*e[3]+e[25]*e[17]*e[8]+e[22]*e[12]*e[6]+e[22]*e[3]*e[15]+e[22]*e[14]*e[8]+e[22]*e[5]*e[17]-1.*e[7]*e[23]*e[14]-1.*e[7]*e[20]*e[11]-1.*e[7]*e[18]*e[9]-1.*e[7]*e[21]*e[12];
A[55]=e[13]*e[9]*e[3]+e[13]*e[0]*e[12]+e[13]*e[10]*e[4]+e[13]*e[11]*e[5]+e[13]*e[2]*e[14]+e[16]*e[9]*e[6]+e[16]*e[0]*e[15]+e[16]*e[10]*e[7]+e[16]*e[11]*e[8]+e[16]*e[2]*e[17]+e[7]*e[11]*e[17]+e[7]*e[9]*e[15]+e[4]*e[11]*e[14]+e[4]*e[9]*e[12]+e[10]*e[9]*e[0]+e[10]*e[11]*e[2]-1.*e[10]*e[15]*e[6]-1.*e[10]*e[14]*e[5]-1.*e[10]*e[12]*e[3]-1.*e[10]*e[17]*e[8]+.5000000000*e[1]*ep2[11]+.5000000000*e[1]*ep2[9]+1.500000000*e[1]*ep2[10]-.5000000000*e[1]*ep2[12]-.5000000000*e[1]*ep2[15]-.5000000000*e[1]*ep2[17]-.5000000000*e[1]*ep2[14]+.5000000000*e[1]*ep2[13]+.5000000000*e[1]*ep2[16];
A[165]=e[1]*e[27]*e[6]+e[1]*e[0]*e[33]+e[1]*e[28]*e[7]+e[1]*e[29]*e[8]+e[1]*e[2]*e[35]-1.*e[7]*e[27]*e[0]-1.*e[7]*e[32]*e[5]+e[7]*e[33]*e[6]-1.*e[7]*e[30]*e[3]+e[7]*e[35]*e[8]-1.*e[7]*e[29]*e[2]+e[7]*e[31]*e[4]+e[28]*e[0]*e[6]+e[28]*e[2]*e[8]+e[4]*e[30]*e[6]+e[4]*e[3]*e[33]+e[4]*e[32]*e[8]+e[4]*e[5]*e[35]+e[31]*e[3]*e[6]+e[31]*e[5]*e[8]+.5000000000*ep2[1]*e[34]+1.500000000*e[34]*ep2[7]+.5000000000*e[34]*ep2[4]-.5000000000*e[34]*ep2[0]+.5000000000*e[34]*ep2[6]-.5000000000*e[34]*ep2[5]-.5000000000*e[34]*ep2[3]-.5000000000*e[34]*ep2[2]+.5000000000*e[34]*ep2[8];
A[52]=e[4]*e[18]*e[3]+e[4]*e[0]*e[21]+e[4]*e[1]*e[22]+e[4]*e[20]*e[5]+e[4]*e[2]*e[23]+e[22]*e[0]*e[3]+e[22]*e[2]*e[5]+e[7]*e[18]*e[6]+e[7]*e[0]*e[24]+e[7]*e[1]*e[25]+e[7]*e[20]*e[8]+e[7]*e[2]*e[26]+e[25]*e[0]*e[6]+e[25]*e[2]*e[8]+e[1]*e[18]*e[0]+e[1]*e[20]*e[2]-1.*e[1]*e[21]*e[3]-1.*e[1]*e[26]*e[8]-1.*e[1]*e[23]*e[5]-1.*e[1]*e[24]*e[6]+.5000000000*e[19]*ep2[4]+.5000000000*e[19]*ep2[0]-.5000000000*e[19]*ep2[6]-.5000000000*e[19]*ep2[5]+1.500000000*e[19]*ep2[1]+.5000000000*e[19]*ep2[7]-.5000000000*e[19]*ep2[3]+.5000000000*e[19]*ep2[2]-.5000000000*e[19]*ep2[8];
A[166]=-.5000000000*e[7]*ep2[0]+e[4]*e[5]*e[8]+.5000000000*ep2[4]*e[7]-.5000000000*e[7]*ep2[2]+.5000000000*e[7]*ep2[8]-.5000000000*e[7]*ep2[5]+.5000000000*e[7]*ep2[6]+e[1]*e[0]*e[6]+.5000000000*ep3[7]+e[4]*e[3]*e[6]+e[1]*e[2]*e[8]-.5000000000*e[7]*ep2[3]+.5000000000*ep2[1]*e[7];
A[53]=-1.*e[1]*e[32]*e[23]-1.*e[19]*e[32]*e[5]-1.*e[19]*e[33]*e[6]-1.*e[19]*e[30]*e[3]-1.*e[19]*e[35]*e[8]-1.*e[28]*e[21]*e[3]-1.*e[28]*e[26]*e[8]-1.*e[28]*e[23]*e[5]-1.*e[28]*e[24]*e[6]+e[7]*e[27]*e[24]+e[7]*e[18]*e[33]+e[7]*e[29]*e[26]+e[7]*e[20]*e[35]+e[22]*e[27]*e[3]+e[22]*e[0]*e[30]+e[22]*e[29]*e[5]+e[22]*e[2]*e[32]+e[31]*e[18]*e[3]+e[31]*e[0]*e[21]+e[31]*e[20]*e[5]+e[31]*e[2]*e[23]+e[25]*e[27]*e[6]+e[25]*e[0]*e[33]+e[25]*e[28]*e[7]+e[25]*e[1]*e[34]+e[25]*e[29]*e[8]+e[25]*e[2]*e[35]+e[34]*e[18]*e[6]+e[34]*e[0]*e[24]+e[34]*e[19]*e[7]+e[34]*e[20]*e[8]+e[34]*e[2]*e[26]+e[1]*e[27]*e[18]+3.*e[1]*e[28]*e[19]+e[1]*e[29]*e[20]+e[19]*e[27]*e[0]+e[19]*e[29]*e[2]+e[28]*e[18]*e[0]+e[28]*e[20]*e[2]+e[4]*e[27]*e[21]+e[4]*e[18]*e[30]+e[4]*e[28]*e[22]+e[4]*e[19]*e[31]+e[4]*e[29]*e[23]+e[4]*e[20]*e[32]-1.*e[1]*e[33]*e[24]-1.*e[1]*e[30]*e[21]-1.*e[1]*e[35]*e[26]+e[1]*e[31]*e[22];
A[167]=e[10]*e[27]*e[15]+e[10]*e[9]*e[33]+e[10]*e[29]*e[17]+e[10]*e[11]*e[35]+e[10]*e[28]*e[16]+e[28]*e[11]*e[17]+e[28]*e[9]*e[15]+e[13]*e[30]*e[15]+e[13]*e[12]*e[33]+e[13]*e[32]*e[17]+e[13]*e[14]*e[35]+e[13]*e[31]*e[16]+e[31]*e[14]*e[17]+e[31]*e[12]*e[15]+e[16]*e[33]*e[15]+e[16]*e[35]*e[17]-1.*e[16]*e[27]*e[9]-1.*e[16]*e[30]*e[12]-1.*e[16]*e[32]*e[14]-1.*e[16]*e[29]*e[11]+.5000000000*ep2[10]*e[34]+1.500000000*e[34]*ep2[16]-.5000000000*e[34]*ep2[9]-.5000000000*e[34]*ep2[11]-.5000000000*e[34]*ep2[12]+.5000000000*e[34]*ep2[15]+.5000000000*e[34]*ep2[17]-.5000000000*e[34]*ep2[14]+.5000000000*e[34]*ep2[13];
A[50]=.5000000000*e[19]*ep2[18]+.5000000000*e[19]*ep2[25]+.5000000000*e[19]*ep2[22]+e[25]*e[20]*e[26]-.5000000000*e[19]*ep2[21]+.5000000000*e[19]*ep2[20]-.5000000000*e[19]*ep2[26]-.5000000000*e[19]*ep2[23]-.5000000000*e[19]*ep2[24]+.5000000000*ep3[19]+e[22]*e[20]*e[23]+e[25]*e[18]*e[24]+e[22]*e[18]*e[21];
A[160]=.5000000000*e[34]*ep2[33]+.5000000000*e[34]*ep2[35]-.5000000000*e[34]*ep2[27]-.5000000000*e[34]*ep2[32]-.5000000000*e[34]*ep2[29]-.5000000000*e[34]*ep2[30]+.5000000000*ep2[28]*e[34]+e[31]*e[30]*e[33]+e[31]*e[32]*e[35]+e[28]*e[27]*e[33]+.5000000000*ep3[34]+e[28]*e[29]*e[35]+.5000000000*ep2[31]*e[34];
A[51]=e[4]*e[28]*e[13]+e[4]*e[10]*e[31]+e[7]*e[27]*e[15]+e[7]*e[9]*e[33]+e[7]*e[29]*e[17]+e[7]*e[11]*e[35]+e[7]*e[28]*e[16]+e[7]*e[10]*e[34]+e[1]*e[27]*e[9]+e[1]*e[29]*e[11]+3.*e[1]*e[28]*e[10]+e[10]*e[27]*e[0]-1.*e[10]*e[32]*e[5]-1.*e[10]*e[33]*e[6]-1.*e[10]*e[30]*e[3]-1.*e[10]*e[35]*e[8]+e[10]*e[29]*e[2]+e[13]*e[27]*e[3]+e[13]*e[0]*e[30]+e[13]*e[1]*e[31]+e[13]*e[29]*e[5]+e[13]*e[2]*e[32]+e[28]*e[11]*e[2]-1.*e[28]*e[15]*e[6]+e[28]*e[9]*e[0]-1.*e[28]*e[14]*e[5]-1.*e[28]*e[12]*e[3]-1.*e[28]*e[17]*e[8]+e[31]*e[9]*e[3]+e[31]*e[0]*e[12]+e[31]*e[11]*e[5]+e[31]*e[2]*e[14]+e[16]*e[27]*e[6]+e[16]*e[0]*e[33]+e[16]*e[1]*e[34]+e[16]*e[29]*e[8]+e[16]*e[2]*e[35]-1.*e[1]*e[30]*e[12]-1.*e[1]*e[32]*e[14]-1.*e[1]*e[33]*e[15]-1.*e[1]*e[35]*e[17]+e[34]*e[9]*e[6]+e[34]*e[0]*e[15]+e[34]*e[11]*e[8]+e[34]*e[2]*e[17]+e[4]*e[27]*e[12]+e[4]*e[9]*e[30]+e[4]*e[29]*e[14]+e[4]*e[11]*e[32];
A[161]=e[4]*e[30]*e[33]+e[4]*e[32]*e[35]+e[4]*e[31]*e[34]+e[31]*e[30]*e[6]+e[31]*e[3]*e[33]+e[31]*e[32]*e[8]+e[31]*e[5]*e[35]+e[28]*e[27]*e[6]+e[28]*e[0]*e[33]+e[28]*e[29]*e[8]+e[28]*e[2]*e[35]+e[34]*e[33]*e[6]+e[34]*e[35]*e[8]-1.*e[34]*e[27]*e[0]-1.*e[34]*e[32]*e[5]-1.*e[34]*e[30]*e[3]-1.*e[34]*e[29]*e[2]+e[1]*e[27]*e[33]+e[1]*e[29]*e[35]+e[1]*e[28]*e[34]+.5000000000*ep2[31]*e[7]-.5000000000*e[7]*ep2[27]-.5000000000*e[7]*ep2[32]+.5000000000*e[7]*ep2[28]-.5000000000*e[7]*ep2[29]+.5000000000*e[7]*ep2[33]-.5000000000*e[7]*ep2[30]+1.500000000*e[7]*ep2[34]+.5000000000*e[7]*ep2[35];
A[48]=-.5000000000*e[10]*ep2[14]-.5000000000*e[10]*ep2[17]-.5000000000*e[10]*ep2[15]+e[13]*e[11]*e[14]+e[16]*e[11]*e[17]+.5000000000*e[10]*ep2[13]+e[13]*e[9]*e[12]-.5000000000*e[10]*ep2[12]+.5000000000*ep3[10]+e[16]*e[9]*e[15]+.5000000000*e[10]*ep2[16]+.5000000000*e[10]*ep2[11]+.5000000000*e[10]*ep2[9];
A[162]=e[22]*e[32]*e[35]+e[22]*e[31]*e[34]+e[31]*e[30]*e[24]+e[31]*e[21]*e[33]+e[31]*e[32]*e[26]+e[31]*e[23]*e[35]+e[34]*e[33]*e[24]+e[34]*e[35]*e[26]-1.*e[34]*e[27]*e[18]-1.*e[34]*e[30]*e[21]-1.*e[34]*e[29]*e[20]-1.*e[34]*e[32]*e[23]+e[19]*e[27]*e[33]+e[19]*e[29]*e[35]+e[19]*e[28]*e[34]+e[28]*e[27]*e[24]+e[28]*e[18]*e[33]+e[28]*e[29]*e[26]+e[28]*e[20]*e[35]+e[22]*e[30]*e[33]+.5000000000*ep2[28]*e[25]+.5000000000*ep2[31]*e[25]+.5000000000*e[25]*ep2[33]+.5000000000*e[25]*ep2[35]+1.500000000*e[25]*ep2[34]-.5000000000*e[25]*ep2[27]-.5000000000*e[25]*ep2[32]-.5000000000*e[25]*ep2[29]-.5000000000*e[25]*ep2[30];
A[49]=-1.*e[19]*e[35]*e[26]-1.*e[19]*e[32]*e[23]+e[19]*e[27]*e[18]+e[19]*e[29]*e[20]+e[22]*e[27]*e[21]+e[22]*e[18]*e[30]+e[22]*e[19]*e[31]+e[22]*e[29]*e[23]+e[22]*e[20]*e[32]+e[31]*e[18]*e[21]+e[31]*e[20]*e[23]+e[25]*e[27]*e[24]+e[25]*e[18]*e[33]+e[25]*e[19]*e[34]+e[25]*e[29]*e[26]+e[25]*e[20]*e[35]+e[34]*e[18]*e[24]+e[34]*e[20]*e[26]-1.*e[19]*e[33]*e[24]-1.*e[19]*e[30]*e[21]+1.500000000*e[28]*ep2[19]+.5000000000*e[28]*ep2[18]+.5000000000*e[28]*ep2[20]+.5000000000*e[28]*ep2[22]+.5000000000*e[28]*ep2[25]-.5000000000*e[28]*ep2[26]-.5000000000*e[28]*ep2[23]-.5000000000*e[28]*ep2[24]-.5000000000*e[28]*ep2[21];
A[163]=e[10]*e[27]*e[33]+e[10]*e[29]*e[35]+e[10]*e[28]*e[34]+e[34]*e[33]*e[15]+e[34]*e[35]*e[17]+e[28]*e[27]*e[15]+e[28]*e[9]*e[33]+e[28]*e[29]*e[17]+e[28]*e[11]*e[35]-1.*e[34]*e[27]*e[9]-1.*e[34]*e[30]*e[12]+e[34]*e[31]*e[13]-1.*e[34]*e[32]*e[14]-1.*e[34]*e[29]*e[11]+e[31]*e[30]*e[15]+e[31]*e[12]*e[33]+e[31]*e[32]*e[17]+e[31]*e[14]*e[35]+e[13]*e[30]*e[33]+e[13]*e[32]*e[35]-.5000000000*e[16]*ep2[27]-.5000000000*e[16]*ep2[32]+.5000000000*e[16]*ep2[28]-.5000000000*e[16]*ep2[29]+.5000000000*e[16]*ep2[31]+.5000000000*e[16]*ep2[33]-.5000000000*e[16]*ep2[30]+1.500000000*e[16]*ep2[34]+.5000000000*e[16]*ep2[35];
A[63]=e[29]*e[32]*e[14]-1.*e[29]*e[33]*e[15]-1.*e[29]*e[34]*e[16]+e[32]*e[27]*e[12]+e[32]*e[9]*e[30]+e[32]*e[28]*e[13]+e[32]*e[10]*e[31]+e[14]*e[27]*e[30]+e[14]*e[28]*e[31]+e[17]*e[27]*e[33]+e[17]*e[28]*e[34]+e[35]*e[27]*e[15]+e[35]*e[9]*e[33]+e[35]*e[29]*e[17]+e[35]*e[28]*e[16]+e[35]*e[10]*e[34]+e[29]*e[27]*e[9]+e[29]*e[28]*e[10]-1.*e[29]*e[30]*e[12]-1.*e[29]*e[31]*e[13]+.5000000000*e[11]*ep2[27]+1.500000000*e[11]*ep2[29]+.5000000000*e[11]*ep2[28]+.5000000000*e[11]*ep2[32]-.5000000000*e[11]*ep2[31]-.5000000000*e[11]*ep2[33]-.5000000000*e[11]*ep2[30]-.5000000000*e[11]*ep2[34]+.5000000000*e[11]*ep2[35];
A[173]=e[1]*e[20]*e[35]+e[19]*e[27]*e[6]+e[19]*e[0]*e[33]+e[19]*e[28]*e[7]+e[19]*e[29]*e[8]+e[19]*e[2]*e[35]+e[28]*e[18]*e[6]+e[28]*e[0]*e[24]+e[28]*e[20]*e[8]+e[28]*e[2]*e[26]+e[4]*e[30]*e[24]+e[4]*e[21]*e[33]+e[4]*e[31]*e[25]+e[4]*e[22]*e[34]+e[4]*e[32]*e[26]+e[4]*e[23]*e[35]-1.*e[7]*e[27]*e[18]+e[7]*e[33]*e[24]-1.*e[7]*e[30]*e[21]-1.*e[7]*e[29]*e[20]+e[7]*e[35]*e[26]+e[7]*e[31]*e[22]-1.*e[7]*e[32]*e[23]-1.*e[25]*e[27]*e[0]-1.*e[25]*e[32]*e[5]-1.*e[25]*e[30]*e[3]-1.*e[25]*e[29]*e[2]-1.*e[34]*e[21]*e[3]-1.*e[34]*e[20]*e[2]-1.*e[34]*e[18]*e[0]-1.*e[34]*e[23]*e[5]+e[22]*e[30]*e[6]+e[22]*e[3]*e[33]+e[22]*e[32]*e[8]+e[22]*e[5]*e[35]+e[31]*e[21]*e[6]+e[31]*e[3]*e[24]+e[31]*e[23]*e[8]+e[31]*e[5]*e[26]+e[34]*e[26]*e[8]+e[1]*e[27]*e[24]+e[1]*e[18]*e[33]+e[1]*e[28]*e[25]+e[1]*e[19]*e[34]+e[1]*e[29]*e[26]+e[34]*e[24]*e[6]+e[25]*e[33]*e[6]+3.*e[25]*e[34]*e[7]+e[25]*e[35]*e[8];
A[62]=.5000000000*e[20]*ep2[27]+1.500000000*e[20]*ep2[29]+.5000000000*e[20]*ep2[28]+.5000000000*e[20]*ep2[32]+.5000000000*e[20]*ep2[35]-.5000000000*e[20]*ep2[31]-.5000000000*e[20]*ep2[33]-.5000000000*e[20]*ep2[30]-.5000000000*e[20]*ep2[34]+e[29]*e[27]*e[18]+e[29]*e[28]*e[19]+e[23]*e[27]*e[30]+e[23]*e[29]*e[32]+e[23]*e[28]*e[31]+e[32]*e[27]*e[21]+e[32]*e[18]*e[30]+e[32]*e[28]*e[22]+e[32]*e[19]*e[31]+e[26]*e[27]*e[33]+e[26]*e[29]*e[35]+e[26]*e[28]*e[34]+e[35]*e[27]*e[24]+e[35]*e[18]*e[33]+e[35]*e[28]*e[25]+e[35]*e[19]*e[34]-1.*e[29]*e[33]*e[24]-1.*e[29]*e[30]*e[21]-1.*e[29]*e[31]*e[22]-1.*e[29]*e[34]*e[25];
A[172]=e[19]*e[1]*e[7]+e[19]*e[0]*e[6]+e[19]*e[2]*e[8]+e[4]*e[21]*e[6]+e[4]*e[3]*e[24]+e[4]*e[22]*e[7]+e[4]*e[23]*e[8]+e[4]*e[5]*e[26]+e[22]*e[3]*e[6]+e[22]*e[5]*e[8]+e[7]*e[24]*e[6]+e[7]*e[26]*e[8]+e[1]*e[18]*e[6]+e[1]*e[0]*e[24]+e[1]*e[20]*e[8]+e[1]*e[2]*e[26]-1.*e[7]*e[21]*e[3]-1.*e[7]*e[20]*e[2]-1.*e[7]*e[18]*e[0]-1.*e[7]*e[23]*e[5]+.5000000000*e[25]*ep2[4]-.5000000000*e[25]*ep2[0]+.5000000000*e[25]*ep2[6]-.5000000000*e[25]*ep2[5]+.5000000000*e[25]*ep2[1]+1.500000000*e[25]*ep2[7]-.5000000000*e[25]*ep2[3]-.5000000000*e[25]*ep2[2]+.5000000000*e[25]*ep2[8];
A[61]=e[5]*e[27]*e[30]+e[5]*e[29]*e[32]+e[5]*e[28]*e[31]+e[32]*e[27]*e[3]+e[32]*e[0]*e[30]+e[32]*e[28]*e[4]+e[32]*e[1]*e[31]+e[8]*e[27]*e[33]+e[8]*e[29]*e[35]+e[8]*e[28]*e[34]+e[29]*e[27]*e[0]+e[29]*e[28]*e[1]+e[35]*e[27]*e[6]+e[35]*e[0]*e[33]+e[35]*e[28]*e[7]+e[35]*e[1]*e[34]-1.*e[29]*e[34]*e[7]-1.*e[29]*e[33]*e[6]-1.*e[29]*e[30]*e[3]-1.*e[29]*e[31]*e[4]+.5000000000*e[2]*ep2[27]+1.500000000*e[2]*ep2[29]+.5000000000*e[2]*ep2[28]+.5000000000*e[2]*ep2[32]-.5000000000*e[2]*ep2[31]-.5000000000*e[2]*ep2[33]-.5000000000*e[2]*ep2[30]-.5000000000*e[2]*ep2[34]+.5000000000*e[2]*ep2[35];
A[175]=e[13]*e[12]*e[6]+e[13]*e[3]*e[15]+e[13]*e[4]*e[16]+e[13]*e[14]*e[8]+e[13]*e[5]*e[17]+e[16]*e[15]*e[6]+e[16]*e[17]*e[8]+e[1]*e[11]*e[17]+e[1]*e[9]*e[15]+e[1]*e[10]*e[16]+e[4]*e[14]*e[17]+e[4]*e[12]*e[15]+e[10]*e[9]*e[6]+e[10]*e[0]*e[15]+e[10]*e[11]*e[8]+e[10]*e[2]*e[17]-1.*e[16]*e[11]*e[2]-1.*e[16]*e[9]*e[0]-1.*e[16]*e[14]*e[5]-1.*e[16]*e[12]*e[3]+.5000000000*ep2[13]*e[7]+1.500000000*ep2[16]*e[7]+.5000000000*e[7]*ep2[17]+.5000000000*e[7]*ep2[15]-.5000000000*e[7]*ep2[9]-.5000000000*e[7]*ep2[11]-.5000000000*e[7]*ep2[12]+.5000000000*e[7]*ep2[10]-.5000000000*e[7]*ep2[14];
A[60]=.5000000000*e[29]*ep2[32]+.5000000000*e[29]*ep2[35]-.5000000000*e[29]*ep2[31]-.5000000000*e[29]*ep2[33]-.5000000000*e[29]*ep2[30]-.5000000000*e[29]*ep2[34]+e[32]*e[27]*e[30]+.5000000000*ep3[29]+.5000000000*e[29]*ep2[28]+e[35]*e[28]*e[34]+.5000000000*e[29]*ep2[27]+e[35]*e[27]*e[33]+e[32]*e[28]*e[31];
A[174]=-1.*e[16]*e[21]*e[12]+e[10]*e[18]*e[15]+e[10]*e[9]*e[24]+e[10]*e[20]*e[17]+e[10]*e[11]*e[26]+e[19]*e[11]*e[17]+e[19]*e[9]*e[15]+e[19]*e[10]*e[16]+e[13]*e[21]*e[15]+e[13]*e[12]*e[24]+e[13]*e[23]*e[17]+e[13]*e[14]*e[26]+e[13]*e[22]*e[16]+e[22]*e[14]*e[17]+e[22]*e[12]*e[15]+e[16]*e[24]*e[15]+e[16]*e[26]*e[17]-1.*e[16]*e[23]*e[14]-1.*e[16]*e[20]*e[11]-1.*e[16]*e[18]*e[9]+.5000000000*ep2[13]*e[25]+1.500000000*e[25]*ep2[16]+.5000000000*e[25]*ep2[17]+.5000000000*e[25]*ep2[15]+.5000000000*ep2[10]*e[25]-.5000000000*e[25]*ep2[9]-.5000000000*e[25]*ep2[11]-.5000000000*e[25]*ep2[12]-.5000000000*e[25]*ep2[14];
A[59]=e[19]*e[20]*e[2]+e[22]*e[18]*e[3]+e[22]*e[0]*e[21]+e[22]*e[19]*e[4]+e[22]*e[20]*e[5]+e[22]*e[2]*e[23]-1.*e[19]*e[21]*e[3]-1.*e[19]*e[26]*e[8]+e[19]*e[25]*e[7]-1.*e[19]*e[23]*e[5]-1.*e[19]*e[24]*e[6]+e[4]*e[18]*e[21]+e[4]*e[20]*e[23]+e[25]*e[18]*e[6]+e[25]*e[0]*e[24]+e[25]*e[20]*e[8]+e[25]*e[2]*e[26]+e[7]*e[18]*e[24]+e[7]*e[20]*e[26]+e[19]*e[18]*e[0]+1.500000000*ep2[19]*e[1]+.5000000000*e[1]*ep2[22]+.5000000000*e[1]*ep2[18]+.5000000000*e[1]*ep2[20]+.5000000000*e[1]*ep2[25]-.5000000000*e[1]*ep2[26]-.5000000000*e[1]*ep2[23]-.5000000000*e[1]*ep2[24]-.5000000000*e[1]*ep2[21];
A[169]=e[19]*e[27]*e[24]+e[19]*e[18]*e[33]+e[19]*e[28]*e[25]+e[19]*e[29]*e[26]+e[19]*e[20]*e[35]+e[28]*e[18]*e[24]+e[28]*e[20]*e[26]+e[22]*e[30]*e[24]+e[22]*e[21]*e[33]+e[22]*e[31]*e[25]+e[22]*e[32]*e[26]+e[22]*e[23]*e[35]+e[31]*e[21]*e[24]+e[31]*e[23]*e[26]+e[25]*e[33]*e[24]+e[25]*e[35]*e[26]-1.*e[25]*e[27]*e[18]-1.*e[25]*e[30]*e[21]-1.*e[25]*e[29]*e[20]-1.*e[25]*e[32]*e[23]-.5000000000*e[34]*ep2[18]-.5000000000*e[34]*ep2[23]-.5000000000*e[34]*ep2[20]-.5000000000*e[34]*ep2[21]+.5000000000*ep2[19]*e[34]+.5000000000*ep2[22]*e[34]+1.500000000*e[34]*ep2[25]+.5000000000*e[34]*ep2[24]+.5000000000*e[34]*ep2[26];
A[58]=e[16]*e[0]*e[6]+e[16]*e[2]*e[8]+e[1]*e[11]*e[2]-1.*e[1]*e[15]*e[6]+e[1]*e[9]*e[0]-1.*e[1]*e[14]*e[5]-1.*e[1]*e[12]*e[3]-1.*e[1]*e[17]*e[8]+e[4]*e[9]*e[3]+e[4]*e[0]*e[12]+e[4]*e[1]*e[13]+e[4]*e[11]*e[5]+e[4]*e[2]*e[14]+e[13]*e[0]*e[3]+e[13]*e[2]*e[5]+e[7]*e[9]*e[6]+e[7]*e[0]*e[15]+e[7]*e[1]*e[16]+e[7]*e[11]*e[8]+e[7]*e[2]*e[17]-.5000000000*e[10]*ep2[6]-.5000000000*e[10]*ep2[5]-.5000000000*e[10]*ep2[3]-.5000000000*e[10]*ep2[8]+1.500000000*e[10]*ep2[1]+.5000000000*e[10]*ep2[0]+.5000000000*e[10]*ep2[2]+.5000000000*e[10]*ep2[4]+.5000000000*e[10]*ep2[7];
A[168]=e[13]*e[14]*e[17]+e[13]*e[12]*e[15]+e[10]*e[9]*e[15]+.5000000000*e[16]*ep2[15]-.5000000000*e[16]*ep2[11]-.5000000000*e[16]*ep2[12]-.5000000000*e[16]*ep2[14]+e[10]*e[11]*e[17]+.5000000000*ep2[10]*e[16]+.5000000000*ep3[16]-.5000000000*e[16]*ep2[9]+.5000000000*e[16]*ep2[17]+.5000000000*ep2[13]*e[16];
A[57]=e[10]*e[29]*e[20]+e[22]*e[27]*e[12]+e[22]*e[9]*e[30]+e[22]*e[29]*e[14]+e[22]*e[11]*e[32]+e[22]*e[10]*e[31]+e[31]*e[18]*e[12]+e[31]*e[9]*e[21]+e[31]*e[20]*e[14]+e[31]*e[11]*e[23]-1.*e[10]*e[33]*e[24]-1.*e[10]*e[30]*e[21]-1.*e[10]*e[35]*e[26]-1.*e[10]*e[32]*e[23]+e[10]*e[34]*e[25]+e[19]*e[27]*e[9]+e[19]*e[29]*e[11]+e[28]*e[18]*e[9]+e[28]*e[20]*e[11]+e[16]*e[27]*e[24]+e[16]*e[18]*e[33]+e[16]*e[28]*e[25]+e[16]*e[19]*e[34]+e[16]*e[29]*e[26]+e[16]*e[20]*e[35]-1.*e[19]*e[30]*e[12]-1.*e[19]*e[32]*e[14]-1.*e[19]*e[33]*e[15]-1.*e[19]*e[35]*e[17]-1.*e[28]*e[23]*e[14]-1.*e[28]*e[24]*e[15]-1.*e[28]*e[26]*e[17]-1.*e[28]*e[21]*e[12]+e[25]*e[27]*e[15]+e[25]*e[9]*e[33]+e[25]*e[29]*e[17]+e[25]*e[11]*e[35]+e[34]*e[18]*e[15]+e[34]*e[9]*e[24]+e[34]*e[20]*e[17]+e[34]*e[11]*e[26]+e[13]*e[27]*e[21]+e[13]*e[18]*e[30]+e[13]*e[28]*e[22]+e[13]*e[19]*e[31]+e[13]*e[29]*e[23]+e[13]*e[20]*e[32]+e[10]*e[27]*e[18]+3.*e[10]*e[28]*e[19];
A[171]=e[4]*e[30]*e[15]+e[4]*e[12]*e[33]+e[4]*e[32]*e[17]+e[4]*e[14]*e[35]+e[4]*e[31]*e[16]+e[4]*e[13]*e[34]+e[7]*e[33]*e[15]+e[7]*e[35]*e[17]+3.*e[7]*e[34]*e[16]+e[1]*e[27]*e[15]+e[1]*e[9]*e[33]+e[1]*e[29]*e[17]+e[1]*e[11]*e[35]+e[1]*e[28]*e[16]+e[1]*e[10]*e[34]-1.*e[16]*e[27]*e[0]-1.*e[16]*e[32]*e[5]+e[16]*e[33]*e[6]-1.*e[16]*e[30]*e[3]+e[16]*e[35]*e[8]-1.*e[16]*e[29]*e[2]+e[13]*e[30]*e[6]+e[13]*e[3]*e[33]+e[13]*e[31]*e[7]+e[13]*e[32]*e[8]+e[13]*e[5]*e[35]-1.*e[34]*e[11]*e[2]+e[34]*e[15]*e[6]-1.*e[34]*e[9]*e[0]-1.*e[34]*e[14]*e[5]-1.*e[34]*e[12]*e[3]+e[34]*e[17]*e[8]+e[31]*e[12]*e[6]+e[31]*e[3]*e[15]+e[31]*e[14]*e[8]+e[31]*e[5]*e[17]-1.*e[7]*e[27]*e[9]-1.*e[7]*e[30]*e[12]+e[7]*e[28]*e[10]-1.*e[7]*e[32]*e[14]+e[10]*e[27]*e[6]+e[10]*e[0]*e[33]+e[10]*e[29]*e[8]+e[10]*e[2]*e[35]+e[28]*e[9]*e[6]+e[28]*e[0]*e[15]+e[28]*e[11]*e[8]+e[28]*e[2]*e[17]-1.*e[7]*e[29]*e[11];
A[56]=e[22]*e[18]*e[12]+e[22]*e[9]*e[21]+e[22]*e[20]*e[14]+e[22]*e[11]*e[23]+e[22]*e[19]*e[13]+e[25]*e[18]*e[15]+e[25]*e[9]*e[24]+e[25]*e[20]*e[17]+e[25]*e[11]*e[26]+e[25]*e[19]*e[16]+e[16]*e[18]*e[24]+e[16]*e[20]*e[26]+e[13]*e[18]*e[21]+e[13]*e[20]*e[23]+e[19]*e[18]*e[9]+e[19]*e[20]*e[11]-1.*e[19]*e[23]*e[14]-1.*e[19]*e[24]*e[15]-1.*e[19]*e[26]*e[17]-1.*e[19]*e[21]*e[12]+.5000000000*e[10]*ep2[22]+.5000000000*e[10]*ep2[25]+1.500000000*e[10]*ep2[19]+.5000000000*e[10]*ep2[18]+.5000000000*e[10]*ep2[20]-.5000000000*e[10]*ep2[26]-.5000000000*e[10]*ep2[23]-.5000000000*e[10]*ep2[24]-.5000000000*e[10]*ep2[21];
A[170]=e[19]*e[20]*e[26]-.5000000000*e[25]*ep2[20]+e[22]*e[21]*e[24]+e[19]*e[18]*e[24]+.5000000000*ep2[22]*e[25]-.5000000000*e[25]*ep2[21]-.5000000000*e[25]*ep2[23]+.5000000000*ep2[19]*e[25]-.5000000000*e[25]*ep2[18]+.5000000000*e[25]*ep2[24]+.5000000000*e[25]*ep2[26]+.5000000000*ep3[25]+e[22]*e[23]*e[26];
A[73]=-1.*e[20]*e[33]*e[6]-1.*e[20]*e[30]*e[3]-1.*e[20]*e[31]*e[4]-1.*e[29]*e[21]*e[3]-1.*e[29]*e[22]*e[4]-1.*e[29]*e[25]*e[7]-1.*e[29]*e[24]*e[6]+e[8]*e[27]*e[24]+e[8]*e[18]*e[33]+e[8]*e[28]*e[25]+e[8]*e[19]*e[34]+e[23]*e[27]*e[3]+e[23]*e[0]*e[30]+e[23]*e[28]*e[4]+e[23]*e[1]*e[31]+e[32]*e[18]*e[3]+e[32]*e[0]*e[21]+e[32]*e[19]*e[4]+e[32]*e[1]*e[22]+e[26]*e[27]*e[6]+e[26]*e[0]*e[33]+e[26]*e[28]*e[7]+e[26]*e[1]*e[34]+e[26]*e[29]*e[8]+e[26]*e[2]*e[35]+e[35]*e[18]*e[6]+e[35]*e[0]*e[24]+e[35]*e[19]*e[7]+e[35]*e[1]*e[25]+e[35]*e[20]*e[8]+e[2]*e[27]*e[18]+e[2]*e[28]*e[19]+3.*e[2]*e[29]*e[20]+e[20]*e[27]*e[0]+e[20]*e[28]*e[1]+e[29]*e[18]*e[0]+e[29]*e[19]*e[1]+e[5]*e[27]*e[21]+e[5]*e[18]*e[30]+e[5]*e[28]*e[22]+e[5]*e[19]*e[31]+e[5]*e[29]*e[23]+e[5]*e[20]*e[32]-1.*e[2]*e[33]*e[24]-1.*e[2]*e[30]*e[21]-1.*e[2]*e[31]*e[22]+e[2]*e[32]*e[23]-1.*e[2]*e[34]*e[25]-1.*e[20]*e[34]*e[7];
A[72]=e[5]*e[18]*e[3]+e[5]*e[0]*e[21]+e[5]*e[19]*e[4]+e[5]*e[1]*e[22]+e[5]*e[2]*e[23]+e[23]*e[1]*e[4]+e[23]*e[0]*e[3]+e[8]*e[18]*e[6]+e[8]*e[0]*e[24]+e[8]*e[19]*e[7]+e[8]*e[1]*e[25]+e[8]*e[2]*e[26]+e[26]*e[1]*e[7]+e[26]*e[0]*e[6]+e[2]*e[18]*e[0]+e[2]*e[19]*e[1]-1.*e[2]*e[21]*e[3]-1.*e[2]*e[22]*e[4]-1.*e[2]*e[25]*e[7]-1.*e[2]*e[24]*e[6]-.5000000000*e[20]*ep2[4]+.5000000000*e[20]*ep2[0]-.5000000000*e[20]*ep2[6]+.5000000000*e[20]*ep2[5]+.5000000000*e[20]*ep2[1]-.5000000000*e[20]*ep2[7]-.5000000000*e[20]*ep2[3]+1.500000000*e[20]*ep2[2]+.5000000000*e[20]*ep2[8];
A[75]=e[14]*e[9]*e[3]+e[14]*e[0]*e[12]+e[14]*e[10]*e[4]+e[14]*e[1]*e[13]+e[14]*e[11]*e[5]+e[17]*e[9]*e[6]+e[17]*e[0]*e[15]+e[17]*e[10]*e[7]+e[17]*e[1]*e[16]+e[17]*e[11]*e[8]+e[8]*e[9]*e[15]+e[8]*e[10]*e[16]+e[5]*e[9]*e[12]+e[5]*e[10]*e[13]+e[11]*e[9]*e[0]+e[11]*e[10]*e[1]-1.*e[11]*e[13]*e[4]-1.*e[11]*e[16]*e[7]-1.*e[11]*e[15]*e[6]-1.*e[11]*e[12]*e[3]+.5000000000*e[2]*ep2[14]+.5000000000*e[2]*ep2[17]+1.500000000*e[2]*ep2[11]+.5000000000*e[2]*ep2[9]+.5000000000*e[2]*ep2[10]-.5000000000*e[2]*ep2[16]-.5000000000*e[2]*ep2[12]-.5000000000*e[2]*ep2[15]-.5000000000*e[2]*ep2[13];
A[74]=e[14]*e[18]*e[12]+e[14]*e[9]*e[21]+e[14]*e[11]*e[23]+e[14]*e[19]*e[13]+e[14]*e[10]*e[22]+e[23]*e[9]*e[12]+e[23]*e[10]*e[13]+e[17]*e[18]*e[15]+e[17]*e[9]*e[24]+e[17]*e[11]*e[26]+e[17]*e[19]*e[16]+e[17]*e[10]*e[25]+e[26]*e[9]*e[15]+e[26]*e[10]*e[16]-1.*e[11]*e[24]*e[15]-1.*e[11]*e[25]*e[16]+e[11]*e[18]*e[9]-1.*e[11]*e[21]*e[12]+e[11]*e[19]*e[10]-1.*e[11]*e[22]*e[13]+1.500000000*e[20]*ep2[11]+.5000000000*e[20]*ep2[9]+.5000000000*e[20]*ep2[10]+.5000000000*e[20]*ep2[14]+.5000000000*e[20]*ep2[17]-.5000000000*e[20]*ep2[16]-.5000000000*e[20]*ep2[12]-.5000000000*e[20]*ep2[15]-.5000000000*e[20]*ep2[13];
A[77]=e[23]*e[10]*e[31]+e[32]*e[18]*e[12]+e[32]*e[9]*e[21]+e[32]*e[19]*e[13]+e[32]*e[10]*e[22]-1.*e[11]*e[33]*e[24]-1.*e[11]*e[30]*e[21]+e[11]*e[35]*e[26]-1.*e[11]*e[31]*e[22]-1.*e[11]*e[34]*e[25]+e[20]*e[27]*e[9]+e[20]*e[28]*e[10]+e[29]*e[18]*e[9]+e[29]*e[19]*e[10]+e[17]*e[27]*e[24]+e[17]*e[18]*e[33]+e[17]*e[28]*e[25]+e[17]*e[19]*e[34]+e[17]*e[29]*e[26]+e[17]*e[20]*e[35]-1.*e[20]*e[30]*e[12]-1.*e[20]*e[31]*e[13]-1.*e[20]*e[33]*e[15]-1.*e[20]*e[34]*e[16]-1.*e[29]*e[24]*e[15]-1.*e[29]*e[25]*e[16]-1.*e[29]*e[21]*e[12]-1.*e[29]*e[22]*e[13]+e[26]*e[27]*e[15]+e[26]*e[9]*e[33]+e[26]*e[28]*e[16]+e[26]*e[10]*e[34]+e[35]*e[18]*e[15]+e[35]*e[9]*e[24]+e[35]*e[19]*e[16]+e[35]*e[10]*e[25]+e[14]*e[27]*e[21]+e[14]*e[18]*e[30]+e[14]*e[28]*e[22]+e[14]*e[19]*e[31]+e[14]*e[29]*e[23]+e[14]*e[20]*e[32]+e[11]*e[27]*e[18]+e[11]*e[28]*e[19]+3.*e[11]*e[29]*e[20]+e[23]*e[27]*e[12]+e[23]*e[9]*e[30]+e[23]*e[11]*e[32]+e[23]*e[28]*e[13];
A[76]=e[23]*e[18]*e[12]+e[23]*e[9]*e[21]+e[23]*e[20]*e[14]+e[23]*e[19]*e[13]+e[23]*e[10]*e[22]+e[26]*e[18]*e[15]+e[26]*e[9]*e[24]+e[26]*e[20]*e[17]+e[26]*e[19]*e[16]+e[26]*e[10]*e[25]+e[17]*e[19]*e[25]+e[17]*e[18]*e[24]+e[14]*e[19]*e[22]+e[14]*e[18]*e[21]+e[20]*e[18]*e[9]+e[20]*e[19]*e[10]-1.*e[20]*e[24]*e[15]-1.*e[20]*e[25]*e[16]-1.*e[20]*e[21]*e[12]-1.*e[20]*e[22]*e[13]+.5000000000*e[11]*ep2[23]+.5000000000*e[11]*ep2[26]+.5000000000*e[11]*ep2[19]+.5000000000*e[11]*ep2[18]+1.500000000*e[11]*ep2[20]-.5000000000*e[11]*ep2[22]-.5000000000*e[11]*ep2[24]-.5000000000*e[11]*ep2[21]-.5000000000*e[11]*ep2[25];
A[79]=-1.*e[20]*e[21]*e[3]+e[20]*e[26]*e[8]-1.*e[20]*e[22]*e[4]-1.*e[20]*e[25]*e[7]-1.*e[20]*e[24]*e[6]+e[5]*e[19]*e[22]+e[5]*e[18]*e[21]+e[26]*e[18]*e[6]+e[26]*e[0]*e[24]+e[26]*e[19]*e[7]+e[26]*e[1]*e[25]+e[8]*e[19]*e[25]+e[8]*e[18]*e[24]+e[20]*e[18]*e[0]+e[20]*e[19]*e[1]+e[23]*e[18]*e[3]+e[23]*e[0]*e[21]+e[23]*e[19]*e[4]+e[23]*e[1]*e[22]+e[23]*e[20]*e[5]+1.500000000*ep2[20]*e[2]+.5000000000*e[2]*ep2[23]+.5000000000*e[2]*ep2[19]+.5000000000*e[2]*ep2[18]+.5000000000*e[2]*ep2[26]-.5000000000*e[2]*ep2[22]-.5000000000*e[2]*ep2[24]-.5000000000*e[2]*ep2[21]-.5000000000*e[2]*ep2[25];
A[78]=-1.*e[2]*e[15]*e[6]+e[2]*e[9]*e[0]-1.*e[2]*e[12]*e[3]+e[5]*e[9]*e[3]+e[5]*e[0]*e[12]+e[5]*e[10]*e[4]+e[5]*e[1]*e[13]+e[5]*e[2]*e[14]+e[14]*e[1]*e[4]+e[14]*e[0]*e[3]+e[8]*e[9]*e[6]+e[8]*e[0]*e[15]+e[8]*e[10]*e[7]+e[8]*e[1]*e[16]+e[8]*e[2]*e[17]+e[17]*e[1]*e[7]+e[17]*e[0]*e[6]+e[2]*e[10]*e[1]-1.*e[2]*e[13]*e[4]-1.*e[2]*e[16]*e[7]+.5000000000*e[11]*ep2[1]+.5000000000*e[11]*ep2[0]+1.500000000*e[11]*ep2[2]+.5000000000*e[11]*ep2[5]+.5000000000*e[11]*ep2[8]-.5000000000*e[11]*ep2[4]-.5000000000*e[11]*ep2[6]-.5000000000*e[11]*ep2[7]-.5000000000*e[11]*ep2[3];
A[64]=e[5]*e[19]*e[13]+e[5]*e[10]*e[22]+e[8]*e[18]*e[15]+e[8]*e[9]*e[24]+e[8]*e[20]*e[17]+e[8]*e[11]*e[26]+e[8]*e[19]*e[16]+e[8]*e[10]*e[25]+e[2]*e[18]*e[9]+e[2]*e[19]*e[10]-1.*e[11]*e[21]*e[3]-1.*e[11]*e[22]*e[4]-1.*e[11]*e[25]*e[7]-1.*e[11]*e[24]*e[6]+e[14]*e[18]*e[3]+e[14]*e[0]*e[21]+e[14]*e[19]*e[4]+e[14]*e[1]*e[22]+e[14]*e[2]*e[23]-1.*e[20]*e[13]*e[4]-1.*e[20]*e[16]*e[7]-1.*e[20]*e[15]*e[6]-1.*e[20]*e[12]*e[3]+e[23]*e[9]*e[3]+e[23]*e[0]*e[12]+e[23]*e[10]*e[4]+e[23]*e[1]*e[13]+e[17]*e[18]*e[6]+e[17]*e[0]*e[24]+e[17]*e[19]*e[7]+e[17]*e[1]*e[25]+e[17]*e[2]*e[26]-1.*e[2]*e[24]*e[15]-1.*e[2]*e[25]*e[16]-1.*e[2]*e[21]*e[12]-1.*e[2]*e[22]*e[13]+e[26]*e[9]*e[6]+e[26]*e[0]*e[15]+e[26]*e[10]*e[7]+e[26]*e[1]*e[16]+e[11]*e[18]*e[0]+e[11]*e[19]*e[1]+3.*e[11]*e[20]*e[2]+e[20]*e[9]*e[0]+e[20]*e[10]*e[1]+e[5]*e[18]*e[12]+e[5]*e[9]*e[21]+e[5]*e[20]*e[14]+e[5]*e[11]*e[23];
A[65]=e[32]*e[1]*e[4]+e[32]*e[0]*e[3]+e[8]*e[27]*e[6]+e[8]*e[0]*e[33]+e[8]*e[28]*e[7]+e[8]*e[1]*e[34]+e[35]*e[1]*e[7]+e[35]*e[0]*e[6]+e[2]*e[27]*e[0]+e[2]*e[28]*e[1]-1.*e[2]*e[34]*e[7]+e[2]*e[32]*e[5]-1.*e[2]*e[33]*e[6]-1.*e[2]*e[30]*e[3]+e[2]*e[35]*e[8]-1.*e[2]*e[31]*e[4]+e[5]*e[27]*e[3]+e[5]*e[0]*e[30]+e[5]*e[28]*e[4]+e[5]*e[1]*e[31]+1.500000000*e[29]*ep2[2]-.5000000000*e[29]*ep2[4]+.5000000000*e[29]*ep2[0]-.5000000000*e[29]*ep2[6]+.5000000000*e[29]*ep2[5]+.5000000000*e[29]*ep2[1]-.5000000000*e[29]*ep2[7]-.5000000000*e[29]*ep2[3]+.5000000000*e[29]*ep2[8];
A[66]=e[5]*e[0]*e[3]+e[8]*e[1]*e[7]+e[8]*e[0]*e[6]+e[5]*e[1]*e[4]-.5000000000*e[2]*ep2[4]+.5000000000*ep3[2]+.5000000000*e[2]*ep2[1]-.5000000000*e[2]*ep2[3]+.5000000000*e[2]*ep2[0]+.5000000000*e[2]*ep2[8]+.5000000000*e[2]*ep2[5]-.5000000000*e[2]*ep2[6]-.5000000000*e[2]*ep2[7];
A[67]=e[35]*e[9]*e[15]+e[35]*e[10]*e[16]-1.*e[11]*e[30]*e[12]-1.*e[11]*e[31]*e[13]-1.*e[11]*e[33]*e[15]-1.*e[11]*e[34]*e[16]+e[11]*e[27]*e[9]+e[11]*e[28]*e[10]+e[14]*e[27]*e[12]+e[14]*e[9]*e[30]+e[14]*e[11]*e[32]+e[14]*e[28]*e[13]+e[14]*e[10]*e[31]+e[32]*e[9]*e[12]+e[32]*e[10]*e[13]+e[17]*e[27]*e[15]+e[17]*e[9]*e[33]+e[17]*e[11]*e[35]+e[17]*e[28]*e[16]+e[17]*e[10]*e[34]+1.500000000*e[29]*ep2[11]-.5000000000*e[29]*ep2[16]+.5000000000*e[29]*ep2[9]-.5000000000*e[29]*ep2[12]-.5000000000*e[29]*ep2[15]+.5000000000*e[29]*ep2[17]+.5000000000*e[29]*ep2[10]+.5000000000*e[29]*ep2[14]-.5000000000*e[29]*ep2[13];
A[68]=e[14]*e[9]*e[12]+e[17]*e[10]*e[16]+e[17]*e[9]*e[15]+.5000000000*ep3[11]+e[14]*e[10]*e[13]+.5000000000*e[11]*ep2[10]-.5000000000*e[11]*ep2[15]+.5000000000*e[11]*ep2[14]-.5000000000*e[11]*ep2[13]-.5000000000*e[11]*ep2[12]+.5000000000*e[11]*ep2[9]-.5000000000*e[11]*ep2[16]+.5000000000*e[11]*ep2[17];
A[69]=e[20]*e[27]*e[18]+e[20]*e[28]*e[19]+e[23]*e[27]*e[21]+e[23]*e[18]*e[30]+e[23]*e[28]*e[22]+e[23]*e[19]*e[31]+e[23]*e[20]*e[32]+e[32]*e[19]*e[22]+e[32]*e[18]*e[21]+e[26]*e[27]*e[24]+e[26]*e[18]*e[33]+e[26]*e[28]*e[25]+e[26]*e[19]*e[34]+e[26]*e[20]*e[35]+e[35]*e[19]*e[25]+e[35]*e[18]*e[24]-1.*e[20]*e[33]*e[24]-1.*e[20]*e[30]*e[21]-1.*e[20]*e[31]*e[22]-1.*e[20]*e[34]*e[25]+.5000000000*e[29]*ep2[23]+.5000000000*e[29]*ep2[26]-.5000000000*e[29]*ep2[22]-.5000000000*e[29]*ep2[24]-.5000000000*e[29]*ep2[21]-.5000000000*e[29]*ep2[25]+1.500000000*e[29]*ep2[20]+.5000000000*e[29]*ep2[19]+.5000000000*e[29]*ep2[18];
A[70]=.5000000000*e[20]*ep2[26]+.5000000000*e[20]*ep2[18]+.5000000000*ep3[20]+.5000000000*e[20]*ep2[19]+e[26]*e[18]*e[24]+.5000000000*e[20]*ep2[23]-.5000000000*e[20]*ep2[25]+e[23]*e[19]*e[22]-.5000000000*e[20]*ep2[24]-.5000000000*e[20]*ep2[21]-.5000000000*e[20]*ep2[22]+e[23]*e[18]*e[21]+e[26]*e[19]*e[25];
A[71]=e[8]*e[28]*e[16]+e[8]*e[10]*e[34]+e[2]*e[27]*e[9]+3.*e[2]*e[29]*e[11]+e[2]*e[28]*e[10]+e[11]*e[27]*e[0]-1.*e[11]*e[34]*e[7]-1.*e[11]*e[33]*e[6]-1.*e[11]*e[30]*e[3]+e[11]*e[28]*e[1]-1.*e[11]*e[31]*e[4]+e[14]*e[27]*e[3]+e[14]*e[0]*e[30]+e[14]*e[28]*e[4]+e[14]*e[1]*e[31]+e[14]*e[2]*e[32]+e[29]*e[10]*e[1]-1.*e[29]*e[13]*e[4]-1.*e[29]*e[16]*e[7]-1.*e[29]*e[15]*e[6]+e[29]*e[9]*e[0]-1.*e[29]*e[12]*e[3]+e[32]*e[9]*e[3]+e[32]*e[0]*e[12]+e[32]*e[10]*e[4]+e[32]*e[1]*e[13]+e[17]*e[27]*e[6]+e[17]*e[0]*e[33]+e[17]*e[28]*e[7]+e[17]*e[1]*e[34]+e[17]*e[2]*e[35]-1.*e[2]*e[30]*e[12]-1.*e[2]*e[31]*e[13]-1.*e[2]*e[33]*e[15]-1.*e[2]*e[34]*e[16]+e[35]*e[9]*e[6]+e[35]*e[0]*e[15]+e[35]*e[10]*e[7]+e[35]*e[1]*e[16]+e[5]*e[27]*e[12]+e[5]*e[9]*e[30]+e[5]*e[29]*e[14]+e[5]*e[11]*e[32]+e[5]*e[28]*e[13]+e[5]*e[10]*e[31]+e[8]*e[27]*e[15]+e[8]*e[9]*e[33]+e[8]*e[29]*e[17]+e[8]*e[11]*e[35];
A[91]=-1.*e[12]*e[34]*e[7]+e[12]*e[32]*e[5]-1.*e[12]*e[35]*e[8]-1.*e[12]*e[29]*e[2]-1.*e[12]*e[28]*e[1]+e[12]*e[31]*e[4]-1.*e[30]*e[11]*e[2]-1.*e[30]*e[10]*e[1]+e[30]*e[13]*e[4]-1.*e[30]*e[16]*e[7]+e[30]*e[14]*e[5]-1.*e[30]*e[17]*e[8]+e[15]*e[3]*e[33]+e[15]*e[31]*e[7]+e[15]*e[4]*e[34]+e[15]*e[32]*e[8]+e[15]*e[5]*e[35]+e[3]*e[27]*e[9]-1.*e[3]*e[28]*e[10]-1.*e[3]*e[34]*e[16]-1.*e[3]*e[35]*e[17]-1.*e[3]*e[29]*e[11]+e[33]*e[13]*e[7]+e[33]*e[4]*e[16]+e[33]*e[14]*e[8]+e[33]*e[5]*e[17]+e[9]*e[28]*e[4]+e[9]*e[1]*e[31]+e[9]*e[29]*e[5]+e[9]*e[2]*e[32]+e[27]*e[10]*e[4]+e[27]*e[1]*e[13]+e[27]*e[11]*e[5]+e[27]*e[2]*e[14]+3.*e[3]*e[30]*e[12]+e[3]*e[32]*e[14]+e[3]*e[31]*e[13]+e[6]*e[30]*e[15]+e[6]*e[12]*e[33]+e[6]*e[32]*e[17]+e[6]*e[14]*e[35]+e[6]*e[31]*e[16]+e[6]*e[13]*e[34]+e[0]*e[27]*e[12]+e[0]*e[9]*e[30]+e[0]*e[29]*e[14]+e[0]*e[11]*e[32]+e[0]*e[28]*e[13]+e[0]*e[10]*e[31];
A[90]=.5000000000*e[21]*ep2[24]-.5000000000*e[21]*ep2[25]+.5000000000*e[21]*ep2[23]-.5000000000*e[21]*ep2[26]+.5000000000*ep2[18]*e[21]+.5000000000*e[21]*ep2[22]-.5000000000*e[21]*ep2[20]+e[24]*e[22]*e[25]+e[24]*e[23]*e[26]-.5000000000*e[21]*ep2[19]+e[18]*e[19]*e[22]+e[18]*e[20]*e[23]+.5000000000*ep3[21];
A[89]=-.5000000000*e[30]*ep2[26]-.5000000000*e[30]*ep2[19]-.5000000000*e[30]*ep2[20]-.5000000000*e[30]*ep2[25]+.5000000000*ep2[18]*e[30]+1.500000000*e[30]*ep2[21]+.5000000000*e[30]*ep2[22]+.5000000000*e[30]*ep2[23]+.5000000000*e[30]*ep2[24]+e[18]*e[27]*e[21]+e[18]*e[28]*e[22]+e[18]*e[19]*e[31]+e[18]*e[29]*e[23]+e[18]*e[20]*e[32]+e[27]*e[19]*e[22]+e[27]*e[20]*e[23]+e[21]*e[31]*e[22]+e[21]*e[32]*e[23]+e[24]*e[21]*e[33]+e[24]*e[31]*e[25]+e[24]*e[22]*e[34]+e[24]*e[32]*e[26]+e[24]*e[23]*e[35]+e[33]*e[22]*e[25]+e[33]*e[23]*e[26]-1.*e[21]*e[29]*e[20]-1.*e[21]*e[35]*e[26]-1.*e[21]*e[28]*e[19]-1.*e[21]*e[34]*e[25];
A[88]=.5000000000*e[12]*ep2[15]-.5000000000*e[12]*ep2[17]+e[15]*e[13]*e[16]-.5000000000*e[12]*ep2[10]+e[15]*e[14]*e[17]-.5000000000*e[12]*ep2[16]-.5000000000*e[12]*ep2[11]+e[9]*e[10]*e[13]+.5000000000*e[12]*ep2[13]+.5000000000*ep2[9]*e[12]+.5000000000*ep3[12]+e[9]*e[11]*e[14]+.5000000000*e[12]*ep2[14];
A[95]=e[12]*e[13]*e[4]+e[12]*e[14]*e[5]+e[15]*e[12]*e[6]+e[15]*e[13]*e[7]+e[15]*e[4]*e[16]+e[15]*e[14]*e[8]+e[15]*e[5]*e[17]+e[6]*e[14]*e[17]+e[6]*e[13]*e[16]+e[0]*e[11]*e[14]+e[0]*e[9]*e[12]+e[0]*e[10]*e[13]+e[9]*e[10]*e[4]+e[9]*e[1]*e[13]+e[9]*e[11]*e[5]+e[9]*e[2]*e[14]-1.*e[12]*e[11]*e[2]-1.*e[12]*e[10]*e[1]-1.*e[12]*e[16]*e[7]-1.*e[12]*e[17]*e[8]+1.500000000*ep2[12]*e[3]+.5000000000*e[3]*ep2[15]-.5000000000*e[3]*ep2[16]+.5000000000*e[3]*ep2[9]-.5000000000*e[3]*ep2[11]-.5000000000*e[3]*ep2[17]-.5000000000*e[3]*ep2[10]+.5000000000*e[3]*ep2[14]+.5000000000*e[3]*ep2[13];
A[94]=e[18]*e[11]*e[14]+e[18]*e[9]*e[12]+e[18]*e[10]*e[13]+e[12]*e[23]*e[14]+e[12]*e[22]*e[13]+e[15]*e[12]*e[24]+e[15]*e[23]*e[17]+e[15]*e[14]*e[26]+e[15]*e[22]*e[16]+e[15]*e[13]*e[25]+e[24]*e[14]*e[17]+e[24]*e[13]*e[16]-1.*e[12]*e[25]*e[16]-1.*e[12]*e[26]*e[17]-1.*e[12]*e[20]*e[11]-1.*e[12]*e[19]*e[10]+e[9]*e[20]*e[14]+e[9]*e[11]*e[23]+e[9]*e[19]*e[13]+e[9]*e[10]*e[22]+.5000000000*ep2[9]*e[21]-.5000000000*e[21]*ep2[16]-.5000000000*e[21]*ep2[11]-.5000000000*e[21]*ep2[17]-.5000000000*e[21]*ep2[10]+1.500000000*e[21]*ep2[12]+.5000000000*e[21]*ep2[14]+.5000000000*e[21]*ep2[13]+.5000000000*e[21]*ep2[15];
A[93]=-1.*e[21]*e[35]*e[8]-1.*e[21]*e[29]*e[2]-1.*e[21]*e[28]*e[1]+e[21]*e[31]*e[4]-1.*e[30]*e[26]*e[8]-1.*e[30]*e[20]*e[2]-1.*e[30]*e[19]*e[1]+e[30]*e[22]*e[4]-1.*e[30]*e[25]*e[7]+e[30]*e[23]*e[5]+e[6]*e[31]*e[25]+e[6]*e[22]*e[34]+e[6]*e[32]*e[26]+e[6]*e[23]*e[35]+e[24]*e[30]*e[6]+e[24]*e[3]*e[33]+e[24]*e[31]*e[7]+e[24]*e[4]*e[34]+e[24]*e[32]*e[8]+e[24]*e[5]*e[35]+e[33]*e[21]*e[6]+e[33]*e[22]*e[7]+e[33]*e[4]*e[25]+e[33]*e[23]*e[8]+e[33]*e[5]*e[26]+e[0]*e[27]*e[21]+e[0]*e[18]*e[30]+e[0]*e[28]*e[22]+e[0]*e[19]*e[31]+e[0]*e[29]*e[23]+e[0]*e[20]*e[32]+e[18]*e[27]*e[3]+e[18]*e[28]*e[4]+e[18]*e[1]*e[31]+e[18]*e[29]*e[5]+e[18]*e[2]*e[32]+e[27]*e[19]*e[4]+e[27]*e[1]*e[22]+e[27]*e[20]*e[5]+e[27]*e[2]*e[23]+3.*e[3]*e[30]*e[21]+e[3]*e[31]*e[22]+e[3]*e[32]*e[23]-1.*e[3]*e[29]*e[20]-1.*e[3]*e[35]*e[26]-1.*e[3]*e[28]*e[19]-1.*e[3]*e[34]*e[25]-1.*e[21]*e[34]*e[7]+e[21]*e[32]*e[5];
A[92]=e[18]*e[1]*e[4]+e[18]*e[0]*e[3]+e[18]*e[2]*e[5]+e[3]*e[22]*e[4]+e[3]*e[23]*e[5]+e[6]*e[3]*e[24]+e[6]*e[22]*e[7]+e[6]*e[4]*e[25]+e[6]*e[23]*e[8]+e[6]*e[5]*e[26]+e[24]*e[4]*e[7]+e[24]*e[5]*e[8]+e[0]*e[19]*e[4]+e[0]*e[1]*e[22]+e[0]*e[20]*e[5]+e[0]*e[2]*e[23]-1.*e[3]*e[26]*e[8]-1.*e[3]*e[20]*e[2]-1.*e[3]*e[19]*e[1]-1.*e[3]*e[25]*e[7]+.5000000000*e[21]*ep2[4]+.5000000000*e[21]*ep2[0]+.5000000000*e[21]*ep2[6]+.5000000000*e[21]*ep2[5]-.5000000000*e[21]*ep2[1]-.5000000000*e[21]*ep2[7]+1.500000000*e[21]*ep2[3]-.5000000000*e[21]*ep2[2]-.5000000000*e[21]*ep2[8];
A[82]=.5000000000*ep2[27]*e[21]+1.500000000*e[21]*ep2[30]+.5000000000*e[21]*ep2[32]+.5000000000*e[21]*ep2[31]+.5000000000*e[21]*ep2[33]-.5000000000*e[21]*ep2[28]-.5000000000*e[21]*ep2[29]-.5000000000*e[21]*ep2[34]-.5000000000*e[21]*ep2[35]+e[18]*e[27]*e[30]+e[18]*e[29]*e[32]+e[18]*e[28]*e[31]+e[27]*e[28]*e[22]+e[27]*e[19]*e[31]+e[27]*e[29]*e[23]+e[27]*e[20]*e[32]+e[30]*e[31]*e[22]+e[30]*e[32]*e[23]+e[24]*e[30]*e[33]+e[24]*e[32]*e[35]+e[24]*e[31]*e[34]+e[33]*e[31]*e[25]+e[33]*e[22]*e[34]+e[33]*e[32]*e[26]+e[33]*e[23]*e[35]-1.*e[30]*e[29]*e[20]-1.*e[30]*e[35]*e[26]-1.*e[30]*e[28]*e[19]-1.*e[30]*e[34]*e[25];
A[192]=-.5000000000*e[26]*ep2[4]-.5000000000*e[26]*ep2[0]+.5000000000*e[26]*ep2[6]+.5000000000*e[26]*ep2[5]-.5000000000*e[26]*ep2[1]+.5000000000*e[26]*ep2[7]-.5000000000*e[26]*ep2[3]+.5000000000*e[26]*ep2[2]+1.500000000*e[26]*ep2[8]+e[20]*e[0]*e[6]+e[20]*e[2]*e[8]+e[5]*e[21]*e[6]+e[5]*e[3]*e[24]+e[5]*e[22]*e[7]+e[5]*e[4]*e[25]+e[5]*e[23]*e[8]+e[23]*e[4]*e[7]+e[23]*e[3]*e[6]+e[8]*e[24]*e[6]+e[8]*e[25]*e[7]+e[2]*e[18]*e[6]+e[2]*e[0]*e[24]+e[2]*e[19]*e[7]+e[2]*e[1]*e[25]-1.*e[8]*e[21]*e[3]-1.*e[8]*e[19]*e[1]-1.*e[8]*e[22]*e[4]-1.*e[8]*e[18]*e[0]+e[20]*e[1]*e[7];
A[83]=e[9]*e[27]*e[30]+e[9]*e[29]*e[32]+e[9]*e[28]*e[31]+e[33]*e[30]*e[15]+e[33]*e[32]*e[17]+e[33]*e[14]*e[35]+e[33]*e[31]*e[16]+e[33]*e[13]*e[34]+e[27]*e[29]*e[14]+e[27]*e[11]*e[32]+e[27]*e[28]*e[13]+e[27]*e[10]*e[31]-1.*e[30]*e[28]*e[10]+e[30]*e[31]*e[13]+e[30]*e[32]*e[14]-1.*e[30]*e[34]*e[16]-1.*e[30]*e[35]*e[17]-1.*e[30]*e[29]*e[11]+e[15]*e[32]*e[35]+e[15]*e[31]*e[34]-.5000000000*e[12]*ep2[34]-.5000000000*e[12]*ep2[35]+.5000000000*e[12]*ep2[27]+.5000000000*e[12]*ep2[32]-.5000000000*e[12]*ep2[28]-.5000000000*e[12]*ep2[29]+.5000000000*e[12]*ep2[31]+.5000000000*e[12]*ep2[33]+1.500000000*e[12]*ep2[30];
A[193]=e[23]*e[30]*e[6]+e[23]*e[3]*e[33]+e[23]*e[31]*e[7]+e[23]*e[4]*e[34]+e[32]*e[21]*e[6]+e[32]*e[3]*e[24]+e[32]*e[22]*e[7]+e[32]*e[4]*e[25]+e[26]*e[33]*e[6]+e[26]*e[34]*e[7]+3.*e[26]*e[35]*e[8]+e[35]*e[24]*e[6]+e[35]*e[25]*e[7]+e[2]*e[27]*e[24]+e[2]*e[18]*e[33]+e[2]*e[28]*e[25]+e[2]*e[19]*e[34]+e[2]*e[29]*e[26]+e[2]*e[20]*e[35]+e[20]*e[27]*e[6]+e[20]*e[0]*e[33]+e[20]*e[28]*e[7]+e[20]*e[1]*e[34]+e[20]*e[29]*e[8]+e[29]*e[18]*e[6]+e[29]*e[0]*e[24]+e[29]*e[19]*e[7]+e[29]*e[1]*e[25]+e[5]*e[30]*e[24]+e[5]*e[21]*e[33]+e[5]*e[31]*e[25]+e[5]*e[22]*e[34]+e[5]*e[32]*e[26]+e[5]*e[23]*e[35]-1.*e[8]*e[27]*e[18]+e[8]*e[33]*e[24]-1.*e[8]*e[30]*e[21]-1.*e[8]*e[31]*e[22]+e[8]*e[32]*e[23]-1.*e[8]*e[28]*e[19]+e[8]*e[34]*e[25]-1.*e[26]*e[27]*e[0]-1.*e[26]*e[30]*e[3]-1.*e[26]*e[28]*e[1]-1.*e[26]*e[31]*e[4]-1.*e[35]*e[21]*e[3]-1.*e[35]*e[19]*e[1]-1.*e[35]*e[22]*e[4]-1.*e[35]*e[18]*e[0];
A[80]=e[27]*e[29]*e[32]+e[27]*e[28]*e[31]+e[33]*e[32]*e[35]+e[33]*e[31]*e[34]+.5000000000*ep3[30]-.5000000000*e[30]*ep2[28]-.5000000000*e[30]*ep2[29]-.5000000000*e[30]*ep2[34]+.5000000000*e[30]*ep2[33]+.5000000000*ep2[27]*e[30]+.5000000000*e[30]*ep2[32]+.5000000000*e[30]*ep2[31]-.5000000000*e[30]*ep2[35];
A[194]=.5000000000*ep2[14]*e[26]+1.500000000*e[26]*ep2[17]+.5000000000*e[26]*ep2[15]+.5000000000*e[26]*ep2[16]+.5000000000*ep2[11]*e[26]-.5000000000*e[26]*ep2[9]-.5000000000*e[26]*ep2[12]-.5000000000*e[26]*ep2[10]-.5000000000*e[26]*ep2[13]+e[20]*e[11]*e[17]+e[20]*e[9]*e[15]+e[20]*e[10]*e[16]+e[14]*e[21]*e[15]+e[14]*e[12]*e[24]+e[14]*e[23]*e[17]+e[14]*e[22]*e[16]+e[14]*e[13]*e[25]+e[23]*e[12]*e[15]+e[23]*e[13]*e[16]+e[17]*e[24]*e[15]+e[17]*e[25]*e[16]-1.*e[17]*e[18]*e[9]-1.*e[17]*e[21]*e[12]-1.*e[17]*e[19]*e[10]-1.*e[17]*e[22]*e[13]+e[11]*e[18]*e[15]+e[11]*e[9]*e[24]+e[11]*e[19]*e[16]+e[11]*e[10]*e[25];
A[81]=e[0]*e[27]*e[30]+e[0]*e[29]*e[32]+e[0]*e[28]*e[31]+e[30]*e[31]*e[4]+e[30]*e[32]*e[5]+e[6]*e[30]*e[33]+e[6]*e[32]*e[35]+e[6]*e[31]*e[34]+e[27]*e[28]*e[4]+e[27]*e[1]*e[31]+e[27]*e[29]*e[5]+e[27]*e[2]*e[32]+e[33]*e[31]*e[7]+e[33]*e[4]*e[34]+e[33]*e[32]*e[8]+e[33]*e[5]*e[35]-1.*e[30]*e[34]*e[7]-1.*e[30]*e[35]*e[8]-1.*e[30]*e[29]*e[2]-1.*e[30]*e[28]*e[1]+1.500000000*e[3]*ep2[30]+.5000000000*e[3]*ep2[32]+.5000000000*e[3]*ep2[31]+.5000000000*e[3]*ep2[27]-.5000000000*e[3]*ep2[28]-.5000000000*e[3]*ep2[29]+.5000000000*e[3]*ep2[33]-.5000000000*e[3]*ep2[34]-.5000000000*e[3]*ep2[35];
A[195]=.5000000000*ep2[14]*e[8]+1.500000000*ep2[17]*e[8]+.5000000000*e[8]*ep2[15]+.5000000000*e[8]*ep2[16]-.5000000000*e[8]*ep2[9]+.5000000000*e[8]*ep2[11]-.5000000000*e[8]*ep2[12]-.5000000000*e[8]*ep2[10]-.5000000000*e[8]*ep2[13]+e[14]*e[12]*e[6]+e[14]*e[3]*e[15]+e[14]*e[13]*e[7]+e[14]*e[4]*e[16]+e[14]*e[5]*e[17]+e[17]*e[15]*e[6]+e[17]*e[16]*e[7]+e[2]*e[11]*e[17]+e[2]*e[9]*e[15]+e[2]*e[10]*e[16]+e[5]*e[12]*e[15]+e[5]*e[13]*e[16]+e[11]*e[9]*e[6]+e[11]*e[0]*e[15]+e[11]*e[10]*e[7]+e[11]*e[1]*e[16]-1.*e[17]*e[10]*e[1]-1.*e[17]*e[13]*e[4]-1.*e[17]*e[9]*e[0]-1.*e[17]*e[12]*e[3];
A[86]=-.5000000000*e[3]*ep2[1]-.5000000000*e[3]*ep2[7]+.5000000000*ep3[3]-.5000000000*e[3]*ep2[8]+e[0]*e[2]*e[5]+.5000000000*e[3]*ep2[6]+.5000000000*e[3]*ep2[4]-.5000000000*e[3]*ep2[2]+e[0]*e[1]*e[4]+e[6]*e[4]*e[7]+.5000000000*ep2[0]*e[3]+.5000000000*e[3]*ep2[5]+e[6]*e[5]*e[8];
A[196]=.5000000000*ep2[23]*e[17]+1.500000000*ep2[26]*e[17]+.5000000000*e[17]*ep2[25]+.5000000000*e[17]*ep2[24]-.5000000000*e[17]*ep2[18]-.5000000000*e[17]*ep2[19]+.5000000000*e[17]*ep2[20]-.5000000000*e[17]*ep2[22]-.5000000000*e[17]*ep2[21]+e[23]*e[21]*e[15]+e[23]*e[12]*e[24]+e[23]*e[14]*e[26]+e[23]*e[22]*e[16]+e[23]*e[13]*e[25]+e[26]*e[24]*e[15]+e[26]*e[25]*e[16]+e[11]*e[19]*e[25]+e[11]*e[18]*e[24]+e[11]*e[20]*e[26]+e[14]*e[22]*e[25]+e[14]*e[21]*e[24]+e[20]*e[18]*e[15]+e[20]*e[9]*e[24]+e[20]*e[19]*e[16]+e[20]*e[10]*e[25]-1.*e[26]*e[18]*e[9]-1.*e[26]*e[21]*e[12]-1.*e[26]*e[19]*e[10]-1.*e[26]*e[22]*e[13];
A[87]=-1.*e[12]*e[34]*e[16]-1.*e[12]*e[35]*e[17]-1.*e[12]*e[29]*e[11]+e[9]*e[27]*e[12]+e[9]*e[29]*e[14]+e[9]*e[11]*e[32]+e[9]*e[28]*e[13]+e[9]*e[10]*e[31]+e[27]*e[11]*e[14]+e[27]*e[10]*e[13]+e[12]*e[32]*e[14]+e[12]*e[31]*e[13]+e[15]*e[12]*e[33]+e[15]*e[32]*e[17]+e[15]*e[14]*e[35]+e[15]*e[31]*e[16]+e[15]*e[13]*e[34]+e[33]*e[14]*e[17]+e[33]*e[13]*e[16]-1.*e[12]*e[28]*e[10]+.5000000000*ep2[9]*e[30]-.5000000000*e[30]*ep2[16]-.5000000000*e[30]*ep2[11]+1.500000000*e[30]*ep2[12]+.5000000000*e[30]*ep2[15]-.5000000000*e[30]*ep2[17]-.5000000000*e[30]*ep2[10]+.5000000000*e[30]*ep2[14]+.5000000000*e[30]*ep2[13];
A[197]=e[32]*e[22]*e[16]+e[32]*e[13]*e[25]-1.*e[17]*e[27]*e[18]+e[17]*e[33]*e[24]-1.*e[17]*e[30]*e[21]+e[17]*e[29]*e[20]+3.*e[17]*e[35]*e[26]-1.*e[17]*e[31]*e[22]-1.*e[17]*e[28]*e[19]+e[17]*e[34]*e[25]+e[20]*e[27]*e[15]+e[20]*e[9]*e[33]+e[20]*e[28]*e[16]+e[20]*e[10]*e[34]+e[29]*e[18]*e[15]+e[29]*e[9]*e[24]+e[29]*e[19]*e[16]+e[29]*e[10]*e[25]-1.*e[26]*e[27]*e[9]-1.*e[26]*e[30]*e[12]-1.*e[26]*e[28]*e[10]-1.*e[26]*e[31]*e[13]+e[26]*e[33]*e[15]+e[26]*e[34]*e[16]+e[35]*e[24]*e[15]+e[35]*e[25]*e[16]-1.*e[35]*e[18]*e[9]-1.*e[35]*e[21]*e[12]-1.*e[35]*e[19]*e[10]-1.*e[35]*e[22]*e[13]+e[14]*e[30]*e[24]+e[14]*e[21]*e[33]+e[14]*e[31]*e[25]+e[14]*e[22]*e[34]+e[14]*e[32]*e[26]+e[14]*e[23]*e[35]+e[11]*e[27]*e[24]+e[11]*e[18]*e[33]+e[11]*e[28]*e[25]+e[11]*e[19]*e[34]+e[11]*e[29]*e[26]+e[11]*e[20]*e[35]+e[23]*e[30]*e[15]+e[23]*e[12]*e[33]+e[23]*e[32]*e[17]+e[23]*e[31]*e[16]+e[23]*e[13]*e[34]+e[32]*e[21]*e[15]+e[32]*e[12]*e[24];
A[84]=e[6]*e[23]*e[17]+e[6]*e[14]*e[26]+e[6]*e[22]*e[16]+e[6]*e[13]*e[25]+e[0]*e[20]*e[14]+e[0]*e[11]*e[23]+e[0]*e[19]*e[13]+e[0]*e[10]*e[22]-1.*e[12]*e[26]*e[8]-1.*e[12]*e[20]*e[2]-1.*e[12]*e[19]*e[1]+e[12]*e[22]*e[4]-1.*e[12]*e[25]*e[7]+e[12]*e[23]*e[5]-1.*e[21]*e[11]*e[2]-1.*e[21]*e[10]*e[1]+e[21]*e[13]*e[4]-1.*e[21]*e[16]*e[7]+e[21]*e[14]*e[5]-1.*e[21]*e[17]*e[8]+e[15]*e[3]*e[24]+e[15]*e[22]*e[7]+e[15]*e[4]*e[25]+e[15]*e[23]*e[8]+e[15]*e[5]*e[26]-1.*e[3]*e[25]*e[16]-1.*e[3]*e[26]*e[17]-1.*e[3]*e[20]*e[11]-1.*e[3]*e[19]*e[10]+e[24]*e[13]*e[7]+e[24]*e[4]*e[16]+e[24]*e[14]*e[8]+e[24]*e[5]*e[17]+e[9]*e[18]*e[3]+e[9]*e[0]*e[21]+e[9]*e[19]*e[4]+e[9]*e[1]*e[22]+e[9]*e[20]*e[5]+e[9]*e[2]*e[23]+e[18]*e[0]*e[12]+e[18]*e[10]*e[4]+e[18]*e[1]*e[13]+e[18]*e[11]*e[5]+e[18]*e[2]*e[14]+3.*e[3]*e[21]*e[12]+e[3]*e[23]*e[14]+e[3]*e[22]*e[13]+e[6]*e[21]*e[15]+e[6]*e[12]*e[24];
A[198]=.5000000000*ep2[5]*e[17]+1.500000000*e[17]*ep2[8]+.5000000000*e[17]*ep2[7]+.5000000000*e[17]*ep2[6]+.5000000000*ep2[2]*e[17]-.5000000000*e[17]*ep2[4]-.5000000000*e[17]*ep2[0]-.5000000000*e[17]*ep2[1]-.5000000000*e[17]*ep2[3]+e[11]*e[1]*e[7]+e[11]*e[0]*e[6]+e[11]*e[2]*e[8]+e[5]*e[12]*e[6]+e[5]*e[3]*e[15]+e[5]*e[13]*e[7]+e[5]*e[4]*e[16]+e[5]*e[14]*e[8]+e[14]*e[4]*e[7]+e[14]*e[3]*e[6]+e[8]*e[15]*e[6]+e[8]*e[16]*e[7]-1.*e[8]*e[10]*e[1]-1.*e[8]*e[13]*e[4]-1.*e[8]*e[9]*e[0]-1.*e[8]*e[12]*e[3]+e[2]*e[9]*e[6]+e[2]*e[0]*e[15]+e[2]*e[10]*e[7]+e[2]*e[1]*e[16];
A[85]=e[6]*e[4]*e[34]+e[6]*e[32]*e[8]+e[6]*e[5]*e[35]+e[33]*e[4]*e[7]+e[33]*e[5]*e[8]+e[0]*e[27]*e[3]+e[0]*e[28]*e[4]+e[0]*e[1]*e[31]+e[0]*e[29]*e[5]+e[0]*e[2]*e[32]-1.*e[3]*e[34]*e[7]+e[3]*e[32]*e[5]+e[3]*e[33]*e[6]-1.*e[3]*e[35]*e[8]-1.*e[3]*e[29]*e[2]-1.*e[3]*e[28]*e[1]+e[3]*e[31]*e[4]+e[27]*e[1]*e[4]+e[27]*e[2]*e[5]+e[6]*e[31]*e[7]+.5000000000*e[30]*ep2[4]+.5000000000*e[30]*ep2[6]+.5000000000*e[30]*ep2[5]-.5000000000*e[30]*ep2[1]-.5000000000*e[30]*ep2[7]-.5000000000*e[30]*ep2[2]-.5000000000*e[30]*ep2[8]+.5000000000*ep2[0]*e[30]+1.500000000*e[30]*ep2[3];
A[199]=.5000000000*ep2[23]*e[8]+1.500000000*ep2[26]*e[8]-.5000000000*e[8]*ep2[18]-.5000000000*e[8]*ep2[19]-.5000000000*e[8]*ep2[22]+.5000000000*e[8]*ep2[24]-.5000000000*e[8]*ep2[21]+.5000000000*e[8]*ep2[25]+.5000000000*ep2[20]*e[8]+e[20]*e[18]*e[6]+e[20]*e[0]*e[24]+e[20]*e[19]*e[7]+e[20]*e[1]*e[25]+e[20]*e[2]*e[26]+e[23]*e[21]*e[6]+e[23]*e[3]*e[24]+e[23]*e[22]*e[7]+e[23]*e[4]*e[25]+e[23]*e[5]*e[26]-1.*e[26]*e[21]*e[3]-1.*e[26]*e[19]*e[1]-1.*e[26]*e[22]*e[4]-1.*e[26]*e[18]*e[0]+e[26]*e[25]*e[7]+e[26]*e[24]*e[6]+e[2]*e[19]*e[25]+e[2]*e[18]*e[24]+e[5]*e[22]*e[25]+e[5]*e[21]*e[24];
A[109]=e[19]*e[27]*e[21]+e[19]*e[18]*e[30]+e[19]*e[28]*e[22]+e[19]*e[29]*e[23]+e[19]*e[20]*e[32]+e[28]*e[18]*e[21]+e[28]*e[20]*e[23]+e[22]*e[30]*e[21]+e[22]*e[32]*e[23]+e[25]*e[30]*e[24]+e[25]*e[21]*e[33]+e[25]*e[22]*e[34]+e[25]*e[32]*e[26]+e[25]*e[23]*e[35]+e[34]*e[21]*e[24]+e[34]*e[23]*e[26]-1.*e[22]*e[27]*e[18]-1.*e[22]*e[33]*e[24]-1.*e[22]*e[29]*e[20]-1.*e[22]*e[35]*e[26]+.5000000000*ep2[19]*e[31]+1.500000000*e[31]*ep2[22]+.5000000000*e[31]*ep2[21]+.5000000000*e[31]*ep2[23]+.5000000000*e[31]*ep2[25]-.5000000000*e[31]*ep2[26]-.5000000000*e[31]*ep2[18]-.5000000000*e[31]*ep2[20]-.5000000000*e[31]*ep2[24];
A[108]=-.5000000000*e[13]*ep2[15]+.5000000000*e[13]*ep2[16]+.5000000000*e[13]*ep2[12]+e[16]*e[12]*e[15]+.5000000000*ep3[13]+e[10]*e[11]*e[14]+.5000000000*e[13]*ep2[14]-.5000000000*e[13]*ep2[17]-.5000000000*e[13]*ep2[11]-.5000000000*e[13]*ep2[9]+.5000000000*ep2[10]*e[13]+e[10]*e[9]*e[12]+e[16]*e[14]*e[17];
A[111]=-1.*e[13]*e[29]*e[2]-1.*e[31]*e[11]*e[2]-1.*e[31]*e[15]*e[6]-1.*e[31]*e[9]*e[0]+e[31]*e[14]*e[5]+e[31]*e[12]*e[3]-1.*e[31]*e[17]*e[8]+e[16]*e[30]*e[6]+e[16]*e[3]*e[33]+e[16]*e[4]*e[34]+e[16]*e[32]*e[8]+e[16]*e[5]*e[35]-1.*e[4]*e[27]*e[9]+e[4]*e[28]*e[10]-1.*e[4]*e[33]*e[15]-1.*e[4]*e[35]*e[17]-1.*e[4]*e[29]*e[11]+e[34]*e[12]*e[6]+e[34]*e[3]*e[15]+e[34]*e[14]*e[8]+e[34]*e[5]*e[17]+e[10]*e[27]*e[3]+e[10]*e[0]*e[30]+e[10]*e[29]*e[5]+e[10]*e[2]*e[32]+e[28]*e[9]*e[3]+e[28]*e[0]*e[12]+e[28]*e[11]*e[5]+e[28]*e[2]*e[14]+e[4]*e[30]*e[12]+e[4]*e[32]*e[14]+3.*e[4]*e[31]*e[13]+e[7]*e[30]*e[15]+e[7]*e[12]*e[33]+e[7]*e[32]*e[17]+e[7]*e[14]*e[35]+e[7]*e[31]*e[16]+e[7]*e[13]*e[34]+e[1]*e[27]*e[12]+e[1]*e[9]*e[30]+e[1]*e[29]*e[14]+e[1]*e[11]*e[32]+e[1]*e[28]*e[13]+e[1]*e[10]*e[31]-1.*e[13]*e[27]*e[0]+e[13]*e[32]*e[5]-1.*e[13]*e[33]*e[6]+e[13]*e[30]*e[3]-1.*e[13]*e[35]*e[8];
A[110]=e[25]*e[23]*e[26]+e[19]*e[20]*e[23]+e[19]*e[18]*e[21]+e[25]*e[21]*e[24]+.5000000000*ep3[22]+.5000000000*e[22]*ep2[23]+.5000000000*ep2[19]*e[22]-.5000000000*e[22]*ep2[18]-.5000000000*e[22]*ep2[24]+.5000000000*e[22]*ep2[21]+.5000000000*e[22]*ep2[25]-.5000000000*e[22]*ep2[20]-.5000000000*e[22]*ep2[26];
A[105]=e[34]*e[5]*e[8]+e[1]*e[27]*e[3]+e[1]*e[0]*e[30]+e[1]*e[28]*e[4]+e[1]*e[29]*e[5]+e[1]*e[2]*e[32]-1.*e[4]*e[27]*e[0]+e[4]*e[34]*e[7]+e[4]*e[32]*e[5]-1.*e[4]*e[33]*e[6]+e[4]*e[30]*e[3]-1.*e[4]*e[35]*e[8]-1.*e[4]*e[29]*e[2]+e[28]*e[0]*e[3]+e[28]*e[2]*e[5]+e[7]*e[30]*e[6]+e[7]*e[3]*e[33]+e[7]*e[32]*e[8]+e[7]*e[5]*e[35]+e[34]*e[3]*e[6]+.5000000000*ep2[1]*e[31]+1.500000000*e[31]*ep2[4]-.5000000000*e[31]*ep2[0]-.5000000000*e[31]*ep2[6]+.5000000000*e[31]*ep2[5]+.5000000000*e[31]*ep2[7]+.5000000000*e[31]*ep2[3]-.5000000000*e[31]*ep2[2]-.5000000000*e[31]*ep2[8];
A[104]=e[1]*e[20]*e[14]+e[1]*e[11]*e[23]+e[13]*e[21]*e[3]-1.*e[13]*e[26]*e[8]-1.*e[13]*e[20]*e[2]-1.*e[13]*e[18]*e[0]+e[13]*e[23]*e[5]-1.*e[13]*e[24]*e[6]-1.*e[22]*e[11]*e[2]-1.*e[22]*e[15]*e[6]-1.*e[22]*e[9]*e[0]+e[22]*e[14]*e[5]+e[22]*e[12]*e[3]-1.*e[22]*e[17]*e[8]+e[16]*e[21]*e[6]+e[16]*e[3]*e[24]+e[16]*e[4]*e[25]+e[16]*e[23]*e[8]+e[16]*e[5]*e[26]-1.*e[4]*e[24]*e[15]-1.*e[4]*e[26]*e[17]-1.*e[4]*e[20]*e[11]-1.*e[4]*e[18]*e[9]+e[25]*e[12]*e[6]+e[25]*e[3]*e[15]+e[25]*e[14]*e[8]+e[25]*e[5]*e[17]+e[10]*e[18]*e[3]+e[10]*e[0]*e[21]+e[10]*e[19]*e[4]+e[10]*e[1]*e[22]+e[10]*e[20]*e[5]+e[10]*e[2]*e[23]+e[19]*e[9]*e[3]+e[19]*e[0]*e[12]+e[19]*e[1]*e[13]+e[19]*e[11]*e[5]+e[19]*e[2]*e[14]+e[4]*e[21]*e[12]+e[4]*e[23]*e[14]+3.*e[4]*e[22]*e[13]+e[7]*e[21]*e[15]+e[7]*e[12]*e[24]+e[7]*e[23]*e[17]+e[7]*e[14]*e[26]+e[7]*e[22]*e[16]+e[7]*e[13]*e[25]+e[1]*e[18]*e[12]+e[1]*e[9]*e[21];
A[107]=e[10]*e[27]*e[12]+e[10]*e[9]*e[30]+e[10]*e[29]*e[14]+e[10]*e[11]*e[32]+e[10]*e[28]*e[13]+e[28]*e[11]*e[14]+e[28]*e[9]*e[12]+e[13]*e[30]*e[12]+e[13]*e[32]*e[14]+e[16]*e[30]*e[15]+e[16]*e[12]*e[33]+e[16]*e[32]*e[17]+e[16]*e[14]*e[35]+e[16]*e[13]*e[34]+e[34]*e[14]*e[17]+e[34]*e[12]*e[15]-1.*e[13]*e[27]*e[9]-1.*e[13]*e[33]*e[15]-1.*e[13]*e[35]*e[17]-1.*e[13]*e[29]*e[11]+.5000000000*ep2[10]*e[31]+.5000000000*e[31]*ep2[16]-.5000000000*e[31]*ep2[9]-.5000000000*e[31]*ep2[11]+.5000000000*e[31]*ep2[12]-.5000000000*e[31]*ep2[15]-.5000000000*e[31]*ep2[17]+.5000000000*e[31]*ep2[14]+1.500000000*e[31]*ep2[13];
A[106]=-.5000000000*e[4]*ep2[6]-.5000000000*e[4]*ep2[0]+e[1]*e[2]*e[5]+.5000000000*e[4]*ep2[7]+e[1]*e[0]*e[3]+e[7]*e[5]*e[8]-.5000000000*e[4]*ep2[8]+.5000000000*e[4]*ep2[3]+.5000000000*e[4]*ep2[5]+e[7]*e[3]*e[6]-.5000000000*e[4]*ep2[2]+.5000000000*ep3[4]+.5000000000*ep2[1]*e[4];
A[100]=e[34]*e[32]*e[35]-.5000000000*e[31]*ep2[35]+.5000000000*e[31]*ep2[34]+.5000000000*ep2[28]*e[31]+.5000000000*ep3[31]+.5000000000*e[31]*ep2[32]+e[34]*e[30]*e[33]-.5000000000*e[31]*ep2[27]+.5000000000*e[31]*ep2[30]-.5000000000*e[31]*ep2[33]-.5000000000*e[31]*ep2[29]+e[28]*e[29]*e[32]+e[28]*e[27]*e[30];
A[101]=e[1]*e[27]*e[30]+e[1]*e[29]*e[32]+e[1]*e[28]*e[31]+e[31]*e[30]*e[3]+e[31]*e[32]*e[5]+e[7]*e[30]*e[33]+e[7]*e[32]*e[35]+e[7]*e[31]*e[34]+e[28]*e[27]*e[3]+e[28]*e[0]*e[30]+e[28]*e[29]*e[5]+e[28]*e[2]*e[32]+e[34]*e[30]*e[6]+e[34]*e[3]*e[33]+e[34]*e[32]*e[8]+e[34]*e[5]*e[35]-1.*e[31]*e[27]*e[0]-1.*e[31]*e[33]*e[6]-1.*e[31]*e[35]*e[8]-1.*e[31]*e[29]*e[2]+.5000000000*e[4]*ep2[30]+.5000000000*e[4]*ep2[32]+1.500000000*e[4]*ep2[31]-.5000000000*e[4]*ep2[27]+.5000000000*e[4]*ep2[28]-.5000000000*e[4]*ep2[29]-.5000000000*e[4]*ep2[33]+.5000000000*e[4]*ep2[34]-.5000000000*e[4]*ep2[35];
A[102]=.5000000000*e[22]*ep2[30]+.5000000000*e[22]*ep2[32]+1.500000000*e[22]*ep2[31]+.5000000000*e[22]*ep2[34]-.5000000000*e[22]*ep2[27]-.5000000000*e[22]*ep2[29]-.5000000000*e[22]*ep2[33]-.5000000000*e[22]*ep2[35]+e[28]*e[18]*e[30]+e[28]*e[29]*e[23]+e[28]*e[20]*e[32]+e[31]*e[30]*e[21]+e[31]*e[32]*e[23]+e[25]*e[30]*e[33]+e[25]*e[32]*e[35]+e[25]*e[31]*e[34]+e[34]*e[30]*e[24]+e[34]*e[21]*e[33]+e[34]*e[32]*e[26]+e[34]*e[23]*e[35]-1.*e[31]*e[27]*e[18]-1.*e[31]*e[33]*e[24]-1.*e[31]*e[29]*e[20]-1.*e[31]*e[35]*e[26]+e[19]*e[27]*e[30]+e[19]*e[29]*e[32]+e[19]*e[28]*e[31]+e[28]*e[27]*e[21]+.5000000000*ep2[28]*e[22];
A[103]=e[16]*e[30]*e[33]+e[16]*e[32]*e[35]+e[10]*e[27]*e[30]+e[10]*e[29]*e[32]+e[10]*e[28]*e[31]+e[34]*e[30]*e[15]+e[34]*e[12]*e[33]+e[34]*e[32]*e[17]+e[34]*e[14]*e[35]+e[34]*e[31]*e[16]+e[28]*e[27]*e[12]+e[28]*e[9]*e[30]+e[28]*e[29]*e[14]+e[28]*e[11]*e[32]-1.*e[31]*e[27]*e[9]+e[31]*e[30]*e[12]+e[31]*e[32]*e[14]-1.*e[31]*e[33]*e[15]-1.*e[31]*e[35]*e[17]-1.*e[31]*e[29]*e[11]-.5000000000*e[13]*ep2[27]+.5000000000*e[13]*ep2[32]+.5000000000*e[13]*ep2[28]-.5000000000*e[13]*ep2[29]+1.500000000*e[13]*ep2[31]-.5000000000*e[13]*ep2[33]+.5000000000*e[13]*ep2[30]+.5000000000*e[13]*ep2[34]-.5000000000*e[13]*ep2[35];
A[96]=e[21]*e[23]*e[14]+e[21]*e[22]*e[13]+e[24]*e[21]*e[15]+e[24]*e[23]*e[17]+e[24]*e[14]*e[26]+e[24]*e[22]*e[16]+e[24]*e[13]*e[25]+e[15]*e[22]*e[25]+e[15]*e[23]*e[26]+e[9]*e[19]*e[22]+e[9]*e[18]*e[21]+e[9]*e[20]*e[23]+e[18]*e[20]*e[14]+e[18]*e[11]*e[23]+e[18]*e[19]*e[13]+e[18]*e[10]*e[22]-1.*e[21]*e[25]*e[16]-1.*e[21]*e[26]*e[17]-1.*e[21]*e[20]*e[11]-1.*e[21]*e[19]*e[10]+1.500000000*ep2[21]*e[12]+.5000000000*e[12]*ep2[24]-.5000000000*e[12]*ep2[26]+.5000000000*e[12]*ep2[18]+.5000000000*e[12]*ep2[23]-.5000000000*e[12]*ep2[19]-.5000000000*e[12]*ep2[20]+.5000000000*e[12]*ep2[22]-.5000000000*e[12]*ep2[25];
A[97]=-1.*e[12]*e[29]*e[20]-1.*e[12]*e[35]*e[26]-1.*e[12]*e[28]*e[19]-1.*e[12]*e[34]*e[25]+e[18]*e[29]*e[14]+e[18]*e[11]*e[32]+e[18]*e[28]*e[13]+e[18]*e[10]*e[31]+e[27]*e[20]*e[14]+e[27]*e[11]*e[23]+e[27]*e[19]*e[13]+e[27]*e[10]*e[22]+e[15]*e[30]*e[24]+e[15]*e[21]*e[33]+e[15]*e[31]*e[25]+e[15]*e[22]*e[34]+e[15]*e[32]*e[26]+e[15]*e[23]*e[35]-1.*e[21]*e[28]*e[10]-1.*e[21]*e[34]*e[16]-1.*e[21]*e[35]*e[17]-1.*e[21]*e[29]*e[11]-1.*e[30]*e[25]*e[16]-1.*e[30]*e[26]*e[17]-1.*e[30]*e[20]*e[11]-1.*e[30]*e[19]*e[10]+e[24]*e[32]*e[17]+e[24]*e[14]*e[35]+e[24]*e[31]*e[16]+e[24]*e[13]*e[34]+e[33]*e[23]*e[17]+e[33]*e[14]*e[26]+e[33]*e[22]*e[16]+e[33]*e[13]*e[25]+3.*e[12]*e[30]*e[21]+e[12]*e[31]*e[22]+e[12]*e[32]*e[23]+e[9]*e[27]*e[21]+e[9]*e[18]*e[30]+e[9]*e[28]*e[22]+e[9]*e[19]*e[31]+e[9]*e[29]*e[23]+e[9]*e[20]*e[32]+e[21]*e[32]*e[14]+e[21]*e[31]*e[13]+e[30]*e[23]*e[14]+e[30]*e[22]*e[13]+e[12]*e[27]*e[18]+e[12]*e[33]*e[24];
A[98]=e[0]*e[11]*e[5]+e[0]*e[2]*e[14]+e[9]*e[1]*e[4]+e[9]*e[0]*e[3]+e[9]*e[2]*e[5]+e[3]*e[13]*e[4]+e[3]*e[14]*e[5]+e[6]*e[3]*e[15]+e[6]*e[13]*e[7]+e[6]*e[4]*e[16]+e[6]*e[14]*e[8]+e[6]*e[5]*e[17]+e[15]*e[4]*e[7]+e[15]*e[5]*e[8]-1.*e[3]*e[11]*e[2]-1.*e[3]*e[10]*e[1]-1.*e[3]*e[16]*e[7]-1.*e[3]*e[17]*e[8]+e[0]*e[10]*e[4]+e[0]*e[1]*e[13]+1.500000000*e[12]*ep2[3]+.5000000000*e[12]*ep2[4]+.5000000000*e[12]*ep2[5]+.5000000000*e[12]*ep2[6]+.5000000000*ep2[0]*e[12]-.5000000000*e[12]*ep2[1]-.5000000000*e[12]*ep2[7]-.5000000000*e[12]*ep2[2]-.5000000000*e[12]*ep2[8];
A[99]=e[21]*e[24]*e[6]+e[0]*e[19]*e[22]+e[0]*e[20]*e[23]+e[24]*e[22]*e[7]+e[24]*e[4]*e[25]+e[24]*e[23]*e[8]+e[24]*e[5]*e[26]+e[6]*e[22]*e[25]+e[6]*e[23]*e[26]+e[18]*e[0]*e[21]+e[18]*e[19]*e[4]+e[18]*e[1]*e[22]+e[18]*e[20]*e[5]+e[18]*e[2]*e[23]+e[21]*e[22]*e[4]+e[21]*e[23]*e[5]-1.*e[21]*e[26]*e[8]-1.*e[21]*e[20]*e[2]-1.*e[21]*e[19]*e[1]-1.*e[21]*e[25]*e[7]+1.500000000*ep2[21]*e[3]+.5000000000*e[3]*ep2[22]+.5000000000*e[3]*ep2[23]+.5000000000*e[3]*ep2[24]-.5000000000*e[3]*ep2[26]-.5000000000*e[3]*ep2[19]-.5000000000*e[3]*ep2[20]-.5000000000*e[3]*ep2[25]+.5000000000*ep2[18]*e[3];
A[127]=e[11]*e[27]*e[12]+e[11]*e[9]*e[30]+e[11]*e[29]*e[14]+e[11]*e[28]*e[13]+e[11]*e[10]*e[31]+e[29]*e[9]*e[12]+e[29]*e[10]*e[13]+e[14]*e[30]*e[12]+e[14]*e[31]*e[13]+e[17]*e[30]*e[15]+e[17]*e[12]*e[33]+e[17]*e[14]*e[35]+e[17]*e[31]*e[16]+e[17]*e[13]*e[34]+e[35]*e[12]*e[15]+e[35]*e[13]*e[16]-1.*e[14]*e[27]*e[9]-1.*e[14]*e[28]*e[10]-1.*e[14]*e[33]*e[15]-1.*e[14]*e[34]*e[16]+.5000000000*ep2[11]*e[32]-.5000000000*e[32]*ep2[16]-.5000000000*e[32]*ep2[9]+.5000000000*e[32]*ep2[12]-.5000000000*e[32]*ep2[15]+.5000000000*e[32]*ep2[17]-.5000000000*e[32]*ep2[10]+1.500000000*e[32]*ep2[14]+.5000000000*e[32]*ep2[13];
A[126]=e[8]*e[3]*e[6]+.5000000000*ep2[2]*e[5]-.5000000000*e[5]*ep2[0]+.5000000000*e[5]*ep2[4]-.5000000000*e[5]*ep2[6]+.5000000000*e[5]*ep2[8]+e[8]*e[4]*e[7]+.5000000000*ep3[5]+e[2]*e[0]*e[3]+.5000000000*e[5]*ep2[3]-.5000000000*e[5]*ep2[7]+e[2]*e[1]*e[4]-.5000000000*e[5]*ep2[1];
A[125]=e[2]*e[27]*e[3]+e[2]*e[0]*e[30]+e[2]*e[28]*e[4]+e[2]*e[1]*e[31]+e[2]*e[29]*e[5]-1.*e[5]*e[27]*e[0]-1.*e[5]*e[34]*e[7]-1.*e[5]*e[33]*e[6]+e[5]*e[30]*e[3]+e[5]*e[35]*e[8]-1.*e[5]*e[28]*e[1]+e[5]*e[31]*e[4]+e[29]*e[1]*e[4]+e[29]*e[0]*e[3]+e[8]*e[30]*e[6]+e[8]*e[3]*e[33]+e[8]*e[31]*e[7]+e[8]*e[4]*e[34]+e[35]*e[4]*e[7]+e[35]*e[3]*e[6]+.5000000000*ep2[2]*e[32]+1.500000000*e[32]*ep2[5]+.5000000000*e[32]*ep2[4]-.5000000000*e[32]*ep2[0]-.5000000000*e[32]*ep2[6]-.5000000000*e[32]*ep2[1]-.5000000000*e[32]*ep2[7]+.5000000000*e[32]*ep2[3]+.5000000000*e[32]*ep2[8];
A[124]=-1.*e[14]*e[19]*e[1]+e[14]*e[22]*e[4]-1.*e[14]*e[18]*e[0]-1.*e[14]*e[25]*e[7]-1.*e[14]*e[24]*e[6]-1.*e[23]*e[10]*e[1]+e[23]*e[13]*e[4]-1.*e[23]*e[16]*e[7]-1.*e[23]*e[15]*e[6]-1.*e[23]*e[9]*e[0]+e[23]*e[12]*e[3]+e[17]*e[21]*e[6]+e[17]*e[3]*e[24]+e[17]*e[22]*e[7]+e[17]*e[4]*e[25]+e[17]*e[5]*e[26]-1.*e[5]*e[24]*e[15]-1.*e[5]*e[25]*e[16]-1.*e[5]*e[18]*e[9]-1.*e[5]*e[19]*e[10]+e[26]*e[12]*e[6]+e[26]*e[3]*e[15]+e[26]*e[13]*e[7]+e[26]*e[4]*e[16]+e[11]*e[18]*e[3]+e[11]*e[0]*e[21]+e[11]*e[19]*e[4]+e[11]*e[1]*e[22]+e[11]*e[20]*e[5]+e[11]*e[2]*e[23]+e[20]*e[9]*e[3]+e[20]*e[0]*e[12]+e[20]*e[10]*e[4]+e[20]*e[1]*e[13]+e[20]*e[2]*e[14]+e[5]*e[21]*e[12]+3.*e[5]*e[23]*e[14]+e[5]*e[22]*e[13]+e[8]*e[21]*e[15]+e[8]*e[12]*e[24]+e[8]*e[23]*e[17]+e[8]*e[14]*e[26]+e[8]*e[22]*e[16]+e[8]*e[13]*e[25]+e[2]*e[18]*e[12]+e[2]*e[9]*e[21]+e[2]*e[19]*e[13]+e[2]*e[10]*e[22]+e[14]*e[21]*e[3];
A[123]=-.5000000000*e[14]*ep2[27]+1.500000000*e[14]*ep2[32]-.5000000000*e[14]*ep2[28]+.5000000000*e[14]*ep2[29]+.5000000000*e[14]*ep2[31]-.5000000000*e[14]*ep2[33]+.5000000000*e[14]*ep2[30]-.5000000000*e[14]*ep2[34]+.5000000000*e[14]*ep2[35]+e[11]*e[27]*e[30]+e[11]*e[29]*e[32]+e[11]*e[28]*e[31]+e[35]*e[30]*e[15]+e[35]*e[12]*e[33]+e[35]*e[32]*e[17]+e[35]*e[31]*e[16]+e[35]*e[13]*e[34]+e[29]*e[27]*e[12]+e[29]*e[9]*e[30]+e[29]*e[28]*e[13]+e[29]*e[10]*e[31]-1.*e[32]*e[27]*e[9]+e[32]*e[30]*e[12]-1.*e[32]*e[28]*e[10]+e[32]*e[31]*e[13]-1.*e[32]*e[33]*e[15]-1.*e[32]*e[34]*e[16]+e[17]*e[30]*e[33]+e[17]*e[31]*e[34];
A[122]=-.5000000000*e[23]*ep2[33]-.5000000000*e[23]*ep2[34]+.5000000000*ep2[29]*e[23]+.5000000000*e[23]*ep2[30]+1.500000000*e[23]*ep2[32]+.5000000000*e[23]*ep2[31]+.5000000000*e[23]*ep2[35]-.5000000000*e[23]*ep2[27]-.5000000000*e[23]*ep2[28]+e[32]*e[30]*e[21]+e[32]*e[31]*e[22]+e[26]*e[30]*e[33]+e[26]*e[32]*e[35]+e[26]*e[31]*e[34]+e[35]*e[30]*e[24]+e[35]*e[21]*e[33]+e[35]*e[31]*e[25]+e[35]*e[22]*e[34]-1.*e[32]*e[27]*e[18]-1.*e[32]*e[33]*e[24]-1.*e[32]*e[28]*e[19]-1.*e[32]*e[34]*e[25]+e[20]*e[27]*e[30]+e[20]*e[29]*e[32]+e[20]*e[28]*e[31]+e[29]*e[27]*e[21]+e[29]*e[18]*e[30]+e[29]*e[28]*e[22]+e[29]*e[19]*e[31];
A[121]=e[2]*e[27]*e[30]+e[2]*e[29]*e[32]+e[2]*e[28]*e[31]+e[32]*e[30]*e[3]+e[32]*e[31]*e[4]+e[8]*e[30]*e[33]+e[8]*e[32]*e[35]+e[8]*e[31]*e[34]+e[29]*e[27]*e[3]+e[29]*e[0]*e[30]+e[29]*e[28]*e[4]+e[29]*e[1]*e[31]+e[35]*e[30]*e[6]+e[35]*e[3]*e[33]+e[35]*e[31]*e[7]+e[35]*e[4]*e[34]-1.*e[32]*e[27]*e[0]-1.*e[32]*e[34]*e[7]-1.*e[32]*e[33]*e[6]-1.*e[32]*e[28]*e[1]+.5000000000*e[5]*ep2[30]+1.500000000*e[5]*ep2[32]+.5000000000*e[5]*ep2[31]-.5000000000*e[5]*ep2[27]-.5000000000*e[5]*ep2[28]+.5000000000*e[5]*ep2[29]-.5000000000*e[5]*ep2[33]-.5000000000*e[5]*ep2[34]+.5000000000*e[5]*ep2[35];
A[120]=.5000000000*e[32]*ep2[31]+.5000000000*e[32]*ep2[35]-.5000000000*e[32]*ep2[27]+e[29]*e[27]*e[30]+e[29]*e[28]*e[31]+e[35]*e[30]*e[33]+e[35]*e[31]*e[34]+.5000000000*ep2[29]*e[32]+.5000000000*ep3[32]-.5000000000*e[32]*ep2[33]-.5000000000*e[32]*ep2[34]+.5000000000*e[32]*ep2[30]-.5000000000*e[32]*ep2[28];
A[118]=e[10]*e[1]*e[4]+e[10]*e[0]*e[3]+e[10]*e[2]*e[5]+e[4]*e[12]*e[3]+e[4]*e[14]*e[5]+e[7]*e[12]*e[6]+e[7]*e[3]*e[15]+e[7]*e[4]*e[16]+e[7]*e[14]*e[8]+e[7]*e[5]*e[17]+e[16]*e[3]*e[6]+e[16]*e[5]*e[8]-1.*e[4]*e[11]*e[2]-1.*e[4]*e[15]*e[6]-1.*e[4]*e[9]*e[0]-1.*e[4]*e[17]*e[8]+e[1]*e[9]*e[3]+e[1]*e[0]*e[12]+e[1]*e[11]*e[5]+e[1]*e[2]*e[14]+1.500000000*e[13]*ep2[4]+.5000000000*e[13]*ep2[3]+.5000000000*e[13]*ep2[5]+.5000000000*e[13]*ep2[7]+.5000000000*ep2[1]*e[13]-.5000000000*e[13]*ep2[0]-.5000000000*e[13]*ep2[6]-.5000000000*e[13]*ep2[2]-.5000000000*e[13]*ep2[8];
A[119]=e[25]*e[21]*e[6]+e[25]*e[3]*e[24]+e[25]*e[23]*e[8]+e[25]*e[5]*e[26]+e[7]*e[21]*e[24]+e[7]*e[23]*e[26]+e[19]*e[18]*e[3]+e[19]*e[0]*e[21]+e[19]*e[1]*e[22]+e[19]*e[20]*e[5]+e[19]*e[2]*e[23]+e[22]*e[21]*e[3]+e[22]*e[23]*e[5]-1.*e[22]*e[26]*e[8]-1.*e[22]*e[20]*e[2]-1.*e[22]*e[18]*e[0]+e[22]*e[25]*e[7]-1.*e[22]*e[24]*e[6]+e[1]*e[18]*e[21]+e[1]*e[20]*e[23]+.5000000000*e[4]*ep2[25]-.5000000000*e[4]*ep2[26]-.5000000000*e[4]*ep2[18]-.5000000000*e[4]*ep2[20]-.5000000000*e[4]*ep2[24]+.5000000000*ep2[19]*e[4]+1.500000000*ep2[22]*e[4]+.5000000000*e[4]*ep2[21]+.5000000000*e[4]*ep2[23];
A[116]=e[22]*e[21]*e[12]+e[22]*e[23]*e[14]+e[25]*e[21]*e[15]+e[25]*e[12]*e[24]+e[25]*e[23]*e[17]+e[25]*e[14]*e[26]+e[25]*e[22]*e[16]+e[16]*e[21]*e[24]+e[16]*e[23]*e[26]+e[10]*e[19]*e[22]+e[10]*e[18]*e[21]+e[10]*e[20]*e[23]+e[19]*e[18]*e[12]+e[19]*e[9]*e[21]+e[19]*e[20]*e[14]+e[19]*e[11]*e[23]-1.*e[22]*e[24]*e[15]-1.*e[22]*e[26]*e[17]-1.*e[22]*e[20]*e[11]-1.*e[22]*e[18]*e[9]-.5000000000*e[13]*ep2[26]-.5000000000*e[13]*ep2[18]+.5000000000*e[13]*ep2[23]+.5000000000*e[13]*ep2[19]-.5000000000*e[13]*ep2[20]-.5000000000*e[13]*ep2[24]+.5000000000*e[13]*ep2[21]+1.500000000*ep2[22]*e[13]+.5000000000*e[13]*ep2[25];
A[117]=e[13]*e[30]*e[21]+3.*e[13]*e[31]*e[22]+e[13]*e[32]*e[23]+e[10]*e[27]*e[21]+e[10]*e[18]*e[30]+e[10]*e[28]*e[22]+e[10]*e[19]*e[31]+e[10]*e[29]*e[23]+e[10]*e[20]*e[32]+e[22]*e[30]*e[12]+e[22]*e[32]*e[14]+e[31]*e[21]*e[12]+e[31]*e[23]*e[14]-1.*e[13]*e[27]*e[18]-1.*e[13]*e[33]*e[24]-1.*e[13]*e[29]*e[20]-1.*e[13]*e[35]*e[26]+e[13]*e[28]*e[19]+e[13]*e[34]*e[25]+e[19]*e[27]*e[12]+e[19]*e[9]*e[30]+e[19]*e[29]*e[14]+e[19]*e[11]*e[32]+e[28]*e[18]*e[12]+e[28]*e[9]*e[21]+e[28]*e[20]*e[14]+e[28]*e[11]*e[23]+e[16]*e[30]*e[24]+e[16]*e[21]*e[33]+e[16]*e[31]*e[25]+e[16]*e[22]*e[34]+e[16]*e[32]*e[26]+e[16]*e[23]*e[35]-1.*e[22]*e[27]*e[9]-1.*e[22]*e[33]*e[15]-1.*e[22]*e[35]*e[17]-1.*e[22]*e[29]*e[11]-1.*e[31]*e[24]*e[15]-1.*e[31]*e[26]*e[17]-1.*e[31]*e[20]*e[11]-1.*e[31]*e[18]*e[9]+e[25]*e[30]*e[15]+e[25]*e[12]*e[33]+e[25]*e[32]*e[17]+e[25]*e[14]*e[35]+e[34]*e[21]*e[15]+e[34]*e[12]*e[24]+e[34]*e[23]*e[17]+e[34]*e[14]*e[26];
A[114]=e[19]*e[11]*e[14]+e[19]*e[9]*e[12]+e[19]*e[10]*e[13]+e[13]*e[21]*e[12]+e[13]*e[23]*e[14]+e[16]*e[21]*e[15]+e[16]*e[12]*e[24]+e[16]*e[23]*e[17]+e[16]*e[14]*e[26]+e[16]*e[13]*e[25]+e[25]*e[14]*e[17]+e[25]*e[12]*e[15]-1.*e[13]*e[24]*e[15]-1.*e[13]*e[26]*e[17]-1.*e[13]*e[20]*e[11]-1.*e[13]*e[18]*e[9]+e[10]*e[18]*e[12]+e[10]*e[9]*e[21]+e[10]*e[20]*e[14]+e[10]*e[11]*e[23]+1.500000000*e[22]*ep2[13]+.5000000000*e[22]*ep2[14]+.5000000000*e[22]*ep2[12]+.5000000000*e[22]*ep2[16]+.5000000000*ep2[10]*e[22]-.5000000000*e[22]*ep2[9]-.5000000000*e[22]*ep2[11]-.5000000000*e[22]*ep2[15]-.5000000000*e[22]*ep2[17];
A[115]=e[13]*e[12]*e[3]+e[13]*e[14]*e[5]+e[16]*e[12]*e[6]+e[16]*e[3]*e[15]+e[16]*e[13]*e[7]+e[16]*e[14]*e[8]+e[16]*e[5]*e[17]+e[7]*e[14]*e[17]+e[7]*e[12]*e[15]+e[1]*e[11]*e[14]+e[1]*e[9]*e[12]+e[1]*e[10]*e[13]+e[10]*e[9]*e[3]+e[10]*e[0]*e[12]+e[10]*e[11]*e[5]+e[10]*e[2]*e[14]-1.*e[13]*e[11]*e[2]-1.*e[13]*e[15]*e[6]-1.*e[13]*e[9]*e[0]-1.*e[13]*e[17]*e[8]+1.500000000*ep2[13]*e[4]+.5000000000*e[4]*ep2[16]-.5000000000*e[4]*ep2[9]-.5000000000*e[4]*ep2[11]+.5000000000*e[4]*ep2[12]-.5000000000*e[4]*ep2[15]-.5000000000*e[4]*ep2[17]+.5000000000*e[4]*ep2[10]+.5000000000*e[4]*ep2[14];
A[112]=e[19]*e[1]*e[4]+e[19]*e[0]*e[3]+e[19]*e[2]*e[5]+e[4]*e[21]*e[3]+e[4]*e[23]*e[5]+e[7]*e[21]*e[6]+e[7]*e[3]*e[24]+e[7]*e[4]*e[25]+e[7]*e[23]*e[8]+e[7]*e[5]*e[26]+e[25]*e[3]*e[6]+e[25]*e[5]*e[8]+e[1]*e[18]*e[3]+e[1]*e[0]*e[21]+e[1]*e[20]*e[5]+e[1]*e[2]*e[23]-1.*e[4]*e[26]*e[8]-1.*e[4]*e[20]*e[2]-1.*e[4]*e[18]*e[0]-1.*e[4]*e[24]*e[6]+1.500000000*e[22]*ep2[4]-.5000000000*e[22]*ep2[0]-.5000000000*e[22]*ep2[6]+.5000000000*e[22]*ep2[5]+.5000000000*e[22]*ep2[1]+.5000000000*e[22]*ep2[7]+.5000000000*e[22]*ep2[3]-.5000000000*e[22]*ep2[2]-.5000000000*e[22]*ep2[8];
A[113]=-1.*e[31]*e[20]*e[2]-1.*e[31]*e[18]*e[0]+e[31]*e[23]*e[5]-1.*e[31]*e[24]*e[6]+e[7]*e[30]*e[24]+e[7]*e[21]*e[33]+e[7]*e[32]*e[26]+e[7]*e[23]*e[35]+e[25]*e[30]*e[6]+e[25]*e[3]*e[33]+e[25]*e[31]*e[7]+e[25]*e[4]*e[34]+e[25]*e[32]*e[8]+e[25]*e[5]*e[35]+e[34]*e[21]*e[6]+e[34]*e[3]*e[24]+e[34]*e[22]*e[7]+e[34]*e[23]*e[8]+e[34]*e[5]*e[26]+e[1]*e[27]*e[21]+e[1]*e[18]*e[30]+e[1]*e[28]*e[22]+e[1]*e[19]*e[31]+e[1]*e[29]*e[23]+e[1]*e[20]*e[32]+e[19]*e[27]*e[3]+e[19]*e[0]*e[30]+e[19]*e[28]*e[4]+e[19]*e[29]*e[5]+e[19]*e[2]*e[32]+e[28]*e[18]*e[3]+e[28]*e[0]*e[21]+e[28]*e[20]*e[5]+e[28]*e[2]*e[23]+e[4]*e[30]*e[21]+3.*e[4]*e[31]*e[22]+e[4]*e[32]*e[23]-1.*e[4]*e[27]*e[18]-1.*e[4]*e[33]*e[24]-1.*e[4]*e[29]*e[20]-1.*e[4]*e[35]*e[26]-1.*e[22]*e[27]*e[0]+e[22]*e[32]*e[5]-1.*e[22]*e[33]*e[6]+e[22]*e[30]*e[3]-1.*e[22]*e[35]*e[8]-1.*e[22]*e[29]*e[2]+e[31]*e[21]*e[3]-1.*e[31]*e[26]*e[8];
int perm[20] = {6, 8, 18, 15, 12, 5, 14, 7, 4, 11, 19, 13, 1, 16, 17, 3, 10, 9, 2, 0};
double AA[200];
A[0]=e[33]*e[28]*e[32]-e[33]*e[31]*e[29]+e[30]*e[34]*e[29]-e[30]*e[28]*e[35]-e[27]*e[32]*e[34]+e[27]*e[31]*e[35];
A[146]=.5000000000*e[6]*ep2[8]-.5000000000*e[6]*ep2[5]+.5000000000*ep3[6]+.5000000000*e[6]*ep2[7]-.5000000000*e[6]*ep2[4]+e[0]*e[2]*e[8]+e[3]*e[4]*e[7]+e[3]*e[5]*e[8]+e[0]*e[1]*e[7]-.5000000000*e[6]*ep2[1]-.5000000000*e[6]*ep2[2]+.5000000000*ep2[0]*e[6]+.5000000000*ep2[3]*e[6];
A[1]=e[30]*e[34]*e[2]+e[33]*e[1]*e[32]-e[3]*e[28]*e[35]+e[0]*e[31]*e[35]+e[3]*e[34]*e[29]-e[30]*e[1]*e[35]+e[27]*e[31]*e[8]-e[27]*e[32]*e[7]-e[30]*e[28]*e[8]-e[33]*e[31]*e[2]-e[0]*e[32]*e[34]+e[6]*e[28]*e[32]-e[33]*e[4]*e[29]+e[33]*e[28]*e[5]+e[30]*e[7]*e[29]+e[27]*e[4]*e[35]-e[27]*e[5]*e[34]-e[6]*e[31]*e[29];
A[147]=e[9]*e[27]*e[15]+e[9]*e[29]*e[17]+e[9]*e[11]*e[35]+e[9]*e[28]*e[16]+e[9]*e[10]*e[34]+e[27]*e[11]*e[17]+e[27]*e[10]*e[16]+e[12]*e[30]*e[15]+e[12]*e[32]*e[17]+e[12]*e[14]*e[35]+e[12]*e[31]*e[16]+e[12]*e[13]*e[34]+e[30]*e[14]*e[17]+e[30]*e[13]*e[16]+e[15]*e[35]*e[17]+e[15]*e[34]*e[16]-1.*e[15]*e[28]*e[10]-1.*e[15]*e[31]*e[13]-1.*e[15]*e[32]*e[14]-1.*e[15]*e[29]*e[11]+.5000000000*ep2[9]*e[33]+.5000000000*e[33]*ep2[16]-.5000000000*e[33]*ep2[11]+.5000000000*e[33]*ep2[12]+1.500000000*e[33]*ep2[15]+.5000000000*e[33]*ep2[17]-.5000000000*e[33]*ep2[10]-.5000000000*e[33]*ep2[14]-.5000000000*e[33]*ep2[13];
A[2]=-e[33]*e[22]*e[29]-e[33]*e[31]*e[20]-e[27]*e[32]*e[25]+e[27]*e[22]*e[35]-e[27]*e[23]*e[34]+e[27]*e[31]*e[26]+e[33]*e[28]*e[23]-e[21]*e[28]*e[35]+e[30]*e[25]*e[29]+e[24]*e[28]*e[32]-e[24]*e[31]*e[29]+e[18]*e[31]*e[35]-e[30]*e[28]*e[26]-e[30]*e[19]*e[35]+e[21]*e[34]*e[29]+e[33]*e[19]*e[32]-e[18]*e[32]*e[34]+e[30]*e[34]*e[20];
A[144]=e[18]*e[2]*e[17]+e[3]*e[21]*e[15]+e[3]*e[12]*e[24]+e[3]*e[23]*e[17]+e[3]*e[14]*e[26]+e[3]*e[22]*e[16]+e[3]*e[13]*e[25]+3.*e[6]*e[24]*e[15]+e[6]*e[26]*e[17]+e[6]*e[25]*e[16]+e[0]*e[20]*e[17]+e[0]*e[11]*e[26]+e[0]*e[19]*e[16]+e[0]*e[10]*e[25]+e[15]*e[26]*e[8]-1.*e[15]*e[20]*e[2]-1.*e[15]*e[19]*e[1]-1.*e[15]*e[22]*e[4]+e[15]*e[25]*e[7]-1.*e[15]*e[23]*e[5]+e[12]*e[21]*e[6]+e[12]*e[22]*e[7]+e[12]*e[4]*e[25]+e[12]*e[23]*e[8]+e[12]*e[5]*e[26]-1.*e[24]*e[11]*e[2]-1.*e[24]*e[10]*e[1]-1.*e[24]*e[13]*e[4]+e[24]*e[16]*e[7]-1.*e[24]*e[14]*e[5]+e[24]*e[17]*e[8]+e[21]*e[13]*e[7]+e[21]*e[4]*e[16]+e[21]*e[14]*e[8]+e[21]*e[5]*e[17]-1.*e[6]*e[23]*e[14]-1.*e[6]*e[20]*e[11]-1.*e[6]*e[19]*e[10]-1.*e[6]*e[22]*e[13]+e[9]*e[18]*e[6]+e[9]*e[0]*e[24]+e[9]*e[19]*e[7]+e[9]*e[1]*e[25]+e[9]*e[20]*e[8]+e[9]*e[2]*e[26]+e[18]*e[0]*e[15]+e[18]*e[10]*e[7]+e[18]*e[1]*e[16]+e[18]*e[11]*e[8];
A[3]=e[33]*e[10]*e[32]+e[33]*e[28]*e[14]-e[33]*e[13]*e[29]-e[33]*e[31]*e[11]+e[9]*e[31]*e[35]-e[9]*e[32]*e[34]+e[27]*e[13]*e[35]-e[27]*e[32]*e[16]+e[27]*e[31]*e[17]-e[27]*e[14]*e[34]+e[12]*e[34]*e[29]-e[12]*e[28]*e[35]+e[30]*e[34]*e[11]+e[30]*e[16]*e[29]-e[30]*e[10]*e[35]-e[30]*e[28]*e[17]+e[15]*e[28]*e[32]-e[15]*e[31]*e[29];
A[145]=e[0]*e[27]*e[6]+e[0]*e[28]*e[7]+e[0]*e[1]*e[34]+e[0]*e[29]*e[8]+e[0]*e[2]*e[35]+e[6]*e[34]*e[7]-1.*e[6]*e[32]*e[5]+e[6]*e[30]*e[3]+e[6]*e[35]*e[8]-1.*e[6]*e[29]*e[2]-1.*e[6]*e[28]*e[1]-1.*e[6]*e[31]*e[4]+e[27]*e[1]*e[7]+e[27]*e[2]*e[8]+e[3]*e[31]*e[7]+e[3]*e[4]*e[34]+e[3]*e[32]*e[8]+e[3]*e[5]*e[35]+e[30]*e[4]*e[7]+e[30]*e[5]*e[8]+.5000000000*ep2[0]*e[33]+1.500000000*e[33]*ep2[6]-.5000000000*e[33]*ep2[4]-.5000000000*e[33]*ep2[5]-.5000000000*e[33]*ep2[1]+.5000000000*e[33]*ep2[7]+.5000000000*e[33]*ep2[3]-.5000000000*e[33]*ep2[2]+.5000000000*e[33]*ep2[8];
A[4]=-e[0]*e[23]*e[16]+e[9]*e[4]*e[26]+e[9]*e[22]*e[8]-e[9]*e[5]*e[25]-e[9]*e[23]*e[7]+e[18]*e[4]*e[17]+e[18]*e[13]*e[8]-e[18]*e[5]*e[16]-e[18]*e[14]*e[7]+e[3]*e[16]*e[20]+e[3]*e[25]*e[11]-e[3]*e[10]*e[26]-e[3]*e[19]*e[17]+e[12]*e[7]*e[20]+e[12]*e[25]*e[2]-e[12]*e[1]*e[26]-e[12]*e[19]*e[8]+e[21]*e[7]*e[11]+e[21]*e[16]*e[2]-e[21]*e[1]*e[17]-e[21]*e[10]*e[8]+e[6]*e[10]*e[23]+e[6]*e[19]*e[14]-e[6]*e[13]*e[20]-e[6]*e[22]*e[11]+e[15]*e[1]*e[23]+e[15]*e[19]*e[5]-e[15]*e[4]*e[20]-e[15]*e[22]*e[2]+e[24]*e[1]*e[14]+e[24]*e[10]*e[5]-e[24]*e[4]*e[11]-e[24]*e[13]*e[2]+e[0]*e[13]*e[26]+e[0]*e[22]*e[17]-e[0]*e[14]*e[25];
A[150]=e[18]*e[19]*e[25]+.5000000000*ep3[24]-.5000000000*e[24]*ep2[23]+e[18]*e[20]*e[26]+e[21]*e[22]*e[25]+e[21]*e[23]*e[26]-.5000000000*e[24]*ep2[19]+.5000000000*ep2[21]*e[24]+.5000000000*e[24]*ep2[26]-.5000000000*e[24]*ep2[20]+.5000000000*ep2[18]*e[24]-.5000000000*e[24]*ep2[22]+.5000000000*e[24]*ep2[25];
A[5]=-e[3]*e[1]*e[35]-e[0]*e[32]*e[7]+e[27]*e[4]*e[8]+e[33]*e[1]*e[5]-e[33]*e[4]*e[2]+e[0]*e[4]*e[35]+e[3]*e[34]*e[2]-e[30]*e[1]*e[8]+e[30]*e[7]*e[2]-e[6]*e[4]*e[29]+e[3]*e[7]*e[29]+e[6]*e[1]*e[32]-e[0]*e[5]*e[34]-e[3]*e[28]*e[8]+e[0]*e[31]*e[8]+e[6]*e[28]*e[5]-e[6]*e[31]*e[2]-e[27]*e[5]*e[7];
A[151]=e[33]*e[16]*e[7]-1.*e[33]*e[14]*e[5]+e[33]*e[17]*e[8]+e[30]*e[13]*e[7]+e[30]*e[4]*e[16]+e[30]*e[14]*e[8]+e[30]*e[5]*e[17]+e[6]*e[27]*e[9]-1.*e[6]*e[28]*e[10]-1.*e[6]*e[31]*e[13]-1.*e[6]*e[32]*e[14]-1.*e[6]*e[29]*e[11]+e[9]*e[28]*e[7]+e[9]*e[1]*e[34]+e[9]*e[29]*e[8]+e[9]*e[2]*e[35]+e[27]*e[10]*e[7]+e[27]*e[1]*e[16]+e[27]*e[11]*e[8]+e[27]*e[2]*e[17]+e[3]*e[30]*e[15]+e[3]*e[12]*e[33]+e[3]*e[32]*e[17]+e[3]*e[14]*e[35]+e[3]*e[31]*e[16]+e[3]*e[13]*e[34]+3.*e[6]*e[33]*e[15]+e[6]*e[35]*e[17]+e[6]*e[34]*e[16]+e[0]*e[27]*e[15]+e[0]*e[9]*e[33]+e[0]*e[29]*e[17]+e[0]*e[11]*e[35]+e[0]*e[28]*e[16]+e[0]*e[10]*e[34]+e[15]*e[34]*e[7]-1.*e[15]*e[32]*e[5]+e[15]*e[35]*e[8]-1.*e[15]*e[29]*e[2]-1.*e[15]*e[28]*e[1]-1.*e[15]*e[31]*e[4]+e[12]*e[30]*e[6]+e[12]*e[31]*e[7]+e[12]*e[4]*e[34]+e[12]*e[32]*e[8]+e[12]*e[5]*e[35]-1.*e[33]*e[11]*e[2]-1.*e[33]*e[10]*e[1]-1.*e[33]*e[13]*e[4];
A[6]=e[6]*e[1]*e[5]-e[6]*e[4]*e[2]+e[3]*e[7]*e[2]+e[0]*e[4]*e[8]-e[0]*e[5]*e[7]-e[3]*e[1]*e[8];
A[148]=.5000000000*ep3[15]+e[9]*e[10]*e[16]-.5000000000*e[15]*ep2[11]+e[9]*e[11]*e[17]+.5000000000*ep2[12]*e[15]+.5000000000*e[15]*ep2[16]+.5000000000*e[15]*ep2[17]-.5000000000*e[15]*ep2[13]+.5000000000*ep2[9]*e[15]+e[12]*e[14]*e[17]-.5000000000*e[15]*ep2[10]-.5000000000*e[15]*ep2[14]+e[12]*e[13]*e[16];
A[7]=e[15]*e[28]*e[14]-e[15]*e[13]*e[29]-e[15]*e[31]*e[11]+e[33]*e[10]*e[14]-e[33]*e[13]*e[11]+e[9]*e[13]*e[35]-e[9]*e[32]*e[16]+e[9]*e[31]*e[17]-e[9]*e[14]*e[34]+e[27]*e[13]*e[17]-e[27]*e[14]*e[16]+e[12]*e[34]*e[11]+e[12]*e[16]*e[29]-e[12]*e[10]*e[35]-e[12]*e[28]*e[17]+e[30]*e[16]*e[11]-e[30]*e[10]*e[17]+e[15]*e[10]*e[32];
A[149]=e[18]*e[27]*e[24]+e[18]*e[28]*e[25]+e[18]*e[19]*e[34]+e[18]*e[29]*e[26]+e[18]*e[20]*e[35]+e[27]*e[19]*e[25]+e[27]*e[20]*e[26]+e[21]*e[30]*e[24]+e[21]*e[31]*e[25]+e[21]*e[22]*e[34]+e[21]*e[32]*e[26]+e[21]*e[23]*e[35]+e[30]*e[22]*e[25]+e[30]*e[23]*e[26]+e[24]*e[34]*e[25]+e[24]*e[35]*e[26]-1.*e[24]*e[29]*e[20]-1.*e[24]*e[31]*e[22]-1.*e[24]*e[32]*e[23]-1.*e[24]*e[28]*e[19]+1.500000000*e[33]*ep2[24]+.5000000000*e[33]*ep2[25]+.5000000000*e[33]*ep2[26]-.5000000000*e[33]*ep2[23]-.5000000000*e[33]*ep2[19]-.5000000000*e[33]*ep2[20]-.5000000000*e[33]*ep2[22]+.5000000000*ep2[18]*e[33]+.5000000000*ep2[21]*e[33];
A[9]=e[21]*e[25]*e[29]-e[27]*e[23]*e[25]+e[24]*e[19]*e[32]-e[21]*e[28]*e[26]-e[21]*e[19]*e[35]+e[18]*e[31]*e[26]-e[30]*e[19]*e[26]-e[24]*e[31]*e[20]+e[24]*e[28]*e[23]+e[27]*e[22]*e[26]+e[30]*e[25]*e[20]-e[33]*e[22]*e[20]+e[33]*e[19]*e[23]+e[21]*e[34]*e[20]-e[18]*e[23]*e[34]-e[24]*e[22]*e[29]-e[18]*e[32]*e[25]+e[18]*e[22]*e[35];
A[155]=e[12]*e[14]*e[8]+e[12]*e[5]*e[17]+e[15]*e[16]*e[7]+e[15]*e[17]*e[8]+e[0]*e[11]*e[17]+e[0]*e[9]*e[15]+e[0]*e[10]*e[16]+e[3]*e[14]*e[17]+e[3]*e[13]*e[16]+e[9]*e[10]*e[7]+e[9]*e[1]*e[16]+e[9]*e[11]*e[8]+e[9]*e[2]*e[17]-1.*e[15]*e[11]*e[2]-1.*e[15]*e[10]*e[1]-1.*e[15]*e[13]*e[4]-1.*e[15]*e[14]*e[5]+e[12]*e[3]*e[15]+e[12]*e[13]*e[7]+e[12]*e[4]*e[16]+.5000000000*ep2[12]*e[6]+1.500000000*ep2[15]*e[6]+.5000000000*e[6]*ep2[17]+.5000000000*e[6]*ep2[16]+.5000000000*e[6]*ep2[9]-.5000000000*e[6]*ep2[11]-.5000000000*e[6]*ep2[10]-.5000000000*e[6]*ep2[14]-.5000000000*e[6]*ep2[13];
A[8]=-e[9]*e[14]*e[16]-e[12]*e[10]*e[17]+e[9]*e[13]*e[17]-e[15]*e[13]*e[11]+e[15]*e[10]*e[14]+e[12]*e[16]*e[11];
A[154]=e[21]*e[14]*e[17]+e[21]*e[13]*e[16]+e[15]*e[26]*e[17]+e[15]*e[25]*e[16]-1.*e[15]*e[23]*e[14]-1.*e[15]*e[20]*e[11]-1.*e[15]*e[19]*e[10]-1.*e[15]*e[22]*e[13]+e[9]*e[20]*e[17]+e[9]*e[11]*e[26]+e[9]*e[19]*e[16]+e[9]*e[10]*e[25]+.5000000000*ep2[12]*e[24]+1.500000000*e[24]*ep2[15]+.5000000000*e[24]*ep2[17]+.5000000000*e[24]*ep2[16]+.5000000000*ep2[9]*e[24]-.5000000000*e[24]*ep2[11]-.5000000000*e[24]*ep2[10]-.5000000000*e[24]*ep2[14]-.5000000000*e[24]*ep2[13]+e[18]*e[11]*e[17]+e[18]*e[9]*e[15]+e[18]*e[10]*e[16]+e[12]*e[21]*e[15]+e[12]*e[23]*e[17]+e[12]*e[14]*e[26]+e[12]*e[22]*e[16]+e[12]*e[13]*e[25];
A[11]=-e[9]*e[5]*e[34]+e[9]*e[31]*e[8]-e[9]*e[32]*e[7]+e[27]*e[4]*e[17]+e[27]*e[13]*e[8]-e[27]*e[5]*e[16]-e[27]*e[14]*e[7]+e[0]*e[13]*e[35]-e[0]*e[32]*e[16]+e[0]*e[31]*e[17]-e[0]*e[14]*e[34]+e[9]*e[4]*e[35]+e[6]*e[10]*e[32]+e[6]*e[28]*e[14]-e[6]*e[13]*e[29]-e[6]*e[31]*e[11]+e[15]*e[1]*e[32]+e[3]*e[34]*e[11]+e[3]*e[16]*e[29]-e[3]*e[10]*e[35]-e[3]*e[28]*e[17]-e[12]*e[1]*e[35]+e[12]*e[7]*e[29]+e[12]*e[34]*e[2]-e[12]*e[28]*e[8]+e[15]*e[28]*e[5]-e[15]*e[4]*e[29]-e[15]*e[31]*e[2]+e[33]*e[1]*e[14]+e[33]*e[10]*e[5]-e[33]*e[4]*e[11]-e[33]*e[13]*e[2]+e[30]*e[7]*e[11]+e[30]*e[16]*e[2]-e[30]*e[1]*e[17]-e[30]*e[10]*e[8];
A[153]=e[21]*e[31]*e[7]+e[21]*e[4]*e[34]+e[21]*e[32]*e[8]+e[21]*e[5]*e[35]+e[30]*e[22]*e[7]+e[30]*e[4]*e[25]+e[30]*e[23]*e[8]+e[30]*e[5]*e[26]+3.*e[24]*e[33]*e[6]+e[24]*e[34]*e[7]+e[24]*e[35]*e[8]+e[33]*e[25]*e[7]+e[33]*e[26]*e[8]+e[0]*e[27]*e[24]+e[0]*e[18]*e[33]+e[0]*e[28]*e[25]+e[0]*e[19]*e[34]+e[0]*e[29]*e[26]+e[0]*e[20]*e[35]+e[18]*e[27]*e[6]+e[18]*e[28]*e[7]+e[18]*e[1]*e[34]+e[18]*e[29]*e[8]+e[18]*e[2]*e[35]+e[27]*e[19]*e[7]+e[27]*e[1]*e[25]+e[27]*e[20]*e[8]+e[27]*e[2]*e[26]+e[3]*e[30]*e[24]+e[3]*e[21]*e[33]+e[3]*e[31]*e[25]+e[3]*e[22]*e[34]+e[3]*e[32]*e[26]+e[3]*e[23]*e[35]+e[6]*e[30]*e[21]-1.*e[6]*e[29]*e[20]+e[6]*e[35]*e[26]-1.*e[6]*e[31]*e[22]-1.*e[6]*e[32]*e[23]-1.*e[6]*e[28]*e[19]+e[6]*e[34]*e[25]-1.*e[24]*e[32]*e[5]-1.*e[24]*e[29]*e[2]-1.*e[24]*e[28]*e[1]-1.*e[24]*e[31]*e[4]-1.*e[33]*e[20]*e[2]-1.*e[33]*e[19]*e[1]-1.*e[33]*e[22]*e[4]-1.*e[33]*e[23]*e[5];
A[10]=e[21]*e[25]*e[20]-e[21]*e[19]*e[26]+e[18]*e[22]*e[26]-e[18]*e[23]*e[25]-e[24]*e[22]*e[20]+e[24]*e[19]*e[23];
A[152]=e[3]*e[4]*e[25]+e[3]*e[23]*e[8]+e[3]*e[5]*e[26]+e[21]*e[4]*e[7]+e[21]*e[5]*e[8]+e[6]*e[25]*e[7]+e[6]*e[26]*e[8]+e[0]*e[19]*e[7]+e[0]*e[1]*e[25]+e[0]*e[20]*e[8]+e[0]*e[2]*e[26]-1.*e[6]*e[20]*e[2]-1.*e[6]*e[19]*e[1]-1.*e[6]*e[22]*e[4]-1.*e[6]*e[23]*e[5]+e[18]*e[1]*e[7]+e[18]*e[0]*e[6]+e[18]*e[2]*e[8]+e[3]*e[21]*e[6]+e[3]*e[22]*e[7]-.5000000000*e[24]*ep2[4]+.5000000000*e[24]*ep2[0]+1.500000000*e[24]*ep2[6]-.5000000000*e[24]*ep2[5]-.5000000000*e[24]*ep2[1]+.5000000000*e[24]*ep2[7]+.5000000000*e[24]*ep2[3]-.5000000000*e[24]*ep2[2]+.5000000000*e[24]*ep2[8];
A[13]=e[6]*e[28]*e[23]-e[6]*e[22]*e[29]-e[6]*e[31]*e[20]-e[3]*e[19]*e[35]+e[3]*e[34]*e[20]+e[3]*e[25]*e[29]-e[21]*e[1]*e[35]+e[21]*e[7]*e[29]+e[21]*e[34]*e[2]+e[24]*e[1]*e[32]+e[24]*e[28]*e[5]-e[24]*e[4]*e[29]-e[24]*e[31]*e[2]+e[33]*e[1]*e[23]+e[33]*e[19]*e[5]-e[33]*e[4]*e[20]-e[33]*e[22]*e[2]-e[21]*e[28]*e[8]+e[30]*e[7]*e[20]+e[30]*e[25]*e[2]-e[30]*e[1]*e[26]+e[18]*e[4]*e[35]-e[18]*e[5]*e[34]+e[18]*e[31]*e[8]-e[18]*e[32]*e[7]+e[27]*e[4]*e[26]+e[27]*e[22]*e[8]-e[27]*e[5]*e[25]-e[27]*e[23]*e[7]-e[3]*e[28]*e[26]-e[0]*e[32]*e[25]+e[0]*e[22]*e[35]-e[0]*e[23]*e[34]+e[0]*e[31]*e[26]-e[30]*e[19]*e[8]+e[6]*e[19]*e[32];
A[159]=.5000000000*ep2[18]*e[6]+.5000000000*ep2[21]*e[6]+1.500000000*ep2[24]*e[6]+.5000000000*e[6]*ep2[26]-.5000000000*e[6]*ep2[23]-.5000000000*e[6]*ep2[19]-.5000000000*e[6]*ep2[20]-.5000000000*e[6]*ep2[22]+.5000000000*e[6]*ep2[25]+e[21]*e[3]*e[24]+e[18]*e[20]*e[8]+e[21]*e[4]*e[25]+e[18]*e[19]*e[7]+e[18]*e[1]*e[25]+e[21]*e[22]*e[7]+e[21]*e[23]*e[8]+e[18]*e[0]*e[24]+e[18]*e[2]*e[26]+e[21]*e[5]*e[26]+e[24]*e[26]*e[8]-1.*e[24]*e[20]*e[2]-1.*e[24]*e[19]*e[1]-1.*e[24]*e[22]*e[4]+e[24]*e[25]*e[7]-1.*e[24]*e[23]*e[5]+e[0]*e[19]*e[25]+e[0]*e[20]*e[26]+e[3]*e[22]*e[25]+e[3]*e[23]*e[26];
A[12]=e[18]*e[4]*e[8]+e[3]*e[7]*e[20]+e[3]*e[25]*e[2]-e[3]*e[1]*e[26]-e[18]*e[5]*e[7]+e[6]*e[1]*e[23]+e[6]*e[19]*e[5]-e[6]*e[4]*e[20]-e[6]*e[22]*e[2]+e[21]*e[7]*e[2]-e[21]*e[1]*e[8]+e[24]*e[1]*e[5]-e[24]*e[4]*e[2]-e[3]*e[19]*e[8]+e[0]*e[4]*e[26]+e[0]*e[22]*e[8]-e[0]*e[5]*e[25]-e[0]*e[23]*e[7];
A[158]=e[9]*e[1]*e[7]+e[9]*e[0]*e[6]+e[9]*e[2]*e[8]+e[3]*e[12]*e[6]+e[3]*e[13]*e[7]+e[3]*e[4]*e[16]+e[3]*e[14]*e[8]+e[3]*e[5]*e[17]+e[12]*e[4]*e[7]+e[12]*e[5]*e[8]+e[6]*e[16]*e[7]+e[6]*e[17]*e[8]-1.*e[6]*e[11]*e[2]-1.*e[6]*e[10]*e[1]-1.*e[6]*e[13]*e[4]-1.*e[6]*e[14]*e[5]+e[0]*e[10]*e[7]+e[0]*e[1]*e[16]+e[0]*e[11]*e[8]+e[0]*e[2]*e[17]+.5000000000*ep2[3]*e[15]+1.500000000*e[15]*ep2[6]+.5000000000*e[15]*ep2[7]+.5000000000*e[15]*ep2[8]+.5000000000*ep2[0]*e[15]-.5000000000*e[15]*ep2[4]-.5000000000*e[15]*ep2[5]-.5000000000*e[15]*ep2[1]-.5000000000*e[15]*ep2[2];
A[15]=-e[15]*e[13]*e[2]-e[6]*e[13]*e[11]-e[15]*e[4]*e[11]+e[12]*e[16]*e[2]-e[3]*e[10]*e[17]+e[3]*e[16]*e[11]+e[0]*e[13]*e[17]-e[0]*e[14]*e[16]+e[15]*e[1]*e[14]-e[12]*e[10]*e[8]+e[9]*e[4]*e[17]+e[9]*e[13]*e[8]-e[9]*e[5]*e[16]-e[9]*e[14]*e[7]+e[15]*e[10]*e[5]+e[12]*e[7]*e[11]+e[6]*e[10]*e[14]-e[12]*e[1]*e[17];
A[157]=e[12]*e[30]*e[24]+e[12]*e[21]*e[33]+e[12]*e[31]*e[25]+e[12]*e[22]*e[34]+e[12]*e[32]*e[26]+e[12]*e[23]*e[35]+e[9]*e[27]*e[24]+e[9]*e[18]*e[33]+e[9]*e[28]*e[25]+e[9]*e[19]*e[34]+e[9]*e[29]*e[26]+e[9]*e[20]*e[35]+e[21]*e[30]*e[15]+e[21]*e[32]*e[17]+e[21]*e[14]*e[35]+e[21]*e[31]*e[16]+e[21]*e[13]*e[34]+e[30]*e[23]*e[17]+e[30]*e[14]*e[26]+e[30]*e[22]*e[16]+e[30]*e[13]*e[25]+e[15]*e[27]*e[18]+3.*e[15]*e[33]*e[24]-1.*e[15]*e[29]*e[20]+e[15]*e[35]*e[26]-1.*e[15]*e[31]*e[22]-1.*e[15]*e[32]*e[23]-1.*e[15]*e[28]*e[19]+e[15]*e[34]*e[25]+e[18]*e[29]*e[17]+e[18]*e[11]*e[35]+e[18]*e[28]*e[16]+e[18]*e[10]*e[34]+e[27]*e[20]*e[17]+e[27]*e[11]*e[26]+e[27]*e[19]*e[16]+e[27]*e[10]*e[25]-1.*e[24]*e[28]*e[10]-1.*e[24]*e[31]*e[13]-1.*e[24]*e[32]*e[14]+e[24]*e[34]*e[16]+e[24]*e[35]*e[17]-1.*e[24]*e[29]*e[11]-1.*e[33]*e[23]*e[14]+e[33]*e[25]*e[16]+e[33]*e[26]*e[17]-1.*e[33]*e[20]*e[11]-1.*e[33]*e[19]*e[10]-1.*e[33]*e[22]*e[13];
A[14]=e[18]*e[13]*e[17]+e[9]*e[13]*e[26]+e[9]*e[22]*e[17]-e[9]*e[14]*e[25]-e[18]*e[14]*e[16]-e[15]*e[13]*e[20]-e[15]*e[22]*e[11]+e[12]*e[16]*e[20]+e[12]*e[25]*e[11]-e[12]*e[10]*e[26]-e[12]*e[19]*e[17]+e[21]*e[16]*e[11]-e[21]*e[10]*e[17]-e[9]*e[23]*e[16]+e[24]*e[10]*e[14]-e[24]*e[13]*e[11]+e[15]*e[10]*e[23]+e[15]*e[19]*e[14];
A[156]=e[21]*e[12]*e[24]+e[21]*e[23]*e[17]+e[21]*e[14]*e[26]+e[21]*e[22]*e[16]+e[21]*e[13]*e[25]+e[24]*e[26]*e[17]+e[24]*e[25]*e[16]+e[9]*e[19]*e[25]+e[9]*e[18]*e[24]+e[9]*e[20]*e[26]+e[12]*e[22]*e[25]+e[12]*e[23]*e[26]+e[18]*e[20]*e[17]+e[18]*e[11]*e[26]+e[18]*e[19]*e[16]+e[18]*e[10]*e[25]-1.*e[24]*e[23]*e[14]-1.*e[24]*e[20]*e[11]-1.*e[24]*e[19]*e[10]-1.*e[24]*e[22]*e[13]+.5000000000*ep2[21]*e[15]+1.500000000*ep2[24]*e[15]+.5000000000*e[15]*ep2[25]+.5000000000*e[15]*ep2[26]+.5000000000*e[15]*ep2[18]-.5000000000*e[15]*ep2[23]-.5000000000*e[15]*ep2[19]-.5000000000*e[15]*ep2[20]-.5000000000*e[15]*ep2[22];
A[18]=e[6]*e[1]*e[14]+e[15]*e[1]*e[5]-e[0]*e[5]*e[16]-e[0]*e[14]*e[7]+e[0]*e[13]*e[8]-e[15]*e[4]*e[2]+e[12]*e[7]*e[2]+e[6]*e[10]*e[5]+e[3]*e[7]*e[11]-e[6]*e[4]*e[11]+e[3]*e[16]*e[2]-e[6]*e[13]*e[2]-e[3]*e[1]*e[17]-e[9]*e[5]*e[7]-e[3]*e[10]*e[8]-e[12]*e[1]*e[8]+e[0]*e[4]*e[17]+e[9]*e[4]*e[8];
A[128]=-.5000000000*e[14]*ep2[16]-.5000000000*e[14]*ep2[10]-.5000000000*e[14]*ep2[9]+e[11]*e[9]*e[12]+.5000000000*ep3[14]+e[17]*e[13]*e[16]+.5000000000*e[14]*ep2[12]+e[11]*e[10]*e[13]-.5000000000*e[14]*ep2[15]+.5000000000*e[14]*ep2[17]+e[17]*e[12]*e[15]+.5000000000*ep2[11]*e[14]+.5000000000*e[14]*ep2[13];
A[19]=-e[21]*e[19]*e[8]+e[18]*e[4]*e[26]-e[18]*e[5]*e[25]-e[18]*e[23]*e[7]+e[21]*e[25]*e[2]-e[21]*e[1]*e[26]+e[6]*e[19]*e[23]+e[18]*e[22]*e[8]-e[0]*e[23]*e[25]-e[6]*e[22]*e[20]+e[24]*e[1]*e[23]+e[24]*e[19]*e[5]-e[24]*e[4]*e[20]-e[24]*e[22]*e[2]+e[3]*e[25]*e[20]-e[3]*e[19]*e[26]+e[0]*e[22]*e[26]+e[21]*e[7]*e[20];
A[129]=.5000000000*ep2[20]*e[32]+1.500000000*e[32]*ep2[23]+.5000000000*e[32]*ep2[22]+.5000000000*e[32]*ep2[21]+.5000000000*e[32]*ep2[26]-.5000000000*e[32]*ep2[18]-.5000000000*e[32]*ep2[19]-.5000000000*e[32]*ep2[24]-.5000000000*e[32]*ep2[25]+e[20]*e[27]*e[21]+e[20]*e[18]*e[30]+e[20]*e[28]*e[22]+e[20]*e[19]*e[31]+e[20]*e[29]*e[23]+e[29]*e[19]*e[22]+e[29]*e[18]*e[21]+e[23]*e[30]*e[21]+e[23]*e[31]*e[22]+e[26]*e[30]*e[24]+e[26]*e[21]*e[33]+e[26]*e[31]*e[25]+e[26]*e[22]*e[34]+e[26]*e[23]*e[35]+e[35]*e[22]*e[25]+e[35]*e[21]*e[24]-1.*e[23]*e[27]*e[18]-1.*e[23]*e[33]*e[24]-1.*e[23]*e[28]*e[19]-1.*e[23]*e[34]*e[25];
A[16]=-e[9]*e[23]*e[25]-e[21]*e[10]*e[26]-e[21]*e[19]*e[17]-e[18]*e[23]*e[16]+e[18]*e[13]*e[26]+e[12]*e[25]*e[20]-e[12]*e[19]*e[26]-e[15]*e[22]*e[20]+e[21]*e[16]*e[20]+e[21]*e[25]*e[11]+e[24]*e[10]*e[23]+e[24]*e[19]*e[14]-e[24]*e[13]*e[20]-e[24]*e[22]*e[11]+e[18]*e[22]*e[17]-e[18]*e[14]*e[25]+e[9]*e[22]*e[26]+e[15]*e[19]*e[23];
A[130]=.5000000000*e[23]*ep2[21]+e[20]*e[19]*e[22]+e[20]*e[18]*e[21]+.5000000000*ep3[23]+e[26]*e[22]*e[25]+.5000000000*e[23]*ep2[26]-.5000000000*e[23]*ep2[18]+.5000000000*e[23]*ep2[22]-.5000000000*e[23]*ep2[19]+e[26]*e[21]*e[24]+.5000000000*ep2[20]*e[23]-.5000000000*e[23]*ep2[24]-.5000000000*e[23]*ep2[25];
A[17]=e[18]*e[13]*e[35]-e[18]*e[32]*e[16]+e[18]*e[31]*e[17]-e[18]*e[14]*e[34]+e[27]*e[13]*e[26]+e[27]*e[22]*e[17]-e[27]*e[14]*e[25]-e[27]*e[23]*e[16]-e[9]*e[32]*e[25]+e[9]*e[22]*e[35]-e[9]*e[23]*e[34]+e[9]*e[31]*e[26]+e[15]*e[19]*e[32]+e[15]*e[28]*e[23]-e[15]*e[22]*e[29]-e[15]*e[31]*e[20]+e[24]*e[10]*e[32]+e[24]*e[28]*e[14]-e[24]*e[13]*e[29]-e[24]*e[31]*e[11]+e[33]*e[10]*e[23]+e[33]*e[19]*e[14]-e[33]*e[13]*e[20]-e[33]*e[22]*e[11]+e[21]*e[16]*e[29]-e[21]*e[10]*e[35]-e[21]*e[28]*e[17]+e[30]*e[16]*e[20]+e[30]*e[25]*e[11]-e[30]*e[10]*e[26]-e[30]*e[19]*e[17]-e[12]*e[28]*e[26]-e[12]*e[19]*e[35]+e[12]*e[34]*e[20]+e[12]*e[25]*e[29]+e[21]*e[34]*e[11];
A[131]=-1.*e[32]*e[10]*e[1]+e[32]*e[13]*e[4]-1.*e[32]*e[16]*e[7]-1.*e[32]*e[15]*e[6]-1.*e[32]*e[9]*e[0]+e[32]*e[12]*e[3]+e[17]*e[30]*e[6]+e[17]*e[3]*e[33]+e[17]*e[31]*e[7]+e[17]*e[4]*e[34]+e[17]*e[5]*e[35]-1.*e[5]*e[27]*e[9]-1.*e[5]*e[28]*e[10]-1.*e[5]*e[33]*e[15]-1.*e[5]*e[34]*e[16]+e[5]*e[29]*e[11]+e[35]*e[12]*e[6]+e[35]*e[3]*e[15]+e[35]*e[13]*e[7]+e[35]*e[4]*e[16]+e[11]*e[27]*e[3]+e[11]*e[0]*e[30]+e[11]*e[28]*e[4]+e[11]*e[1]*e[31]+e[29]*e[9]*e[3]+e[29]*e[0]*e[12]+e[29]*e[10]*e[4]+e[29]*e[1]*e[13]+e[5]*e[30]*e[12]+3.*e[5]*e[32]*e[14]+e[5]*e[31]*e[13]+e[8]*e[30]*e[15]+e[8]*e[12]*e[33]+e[8]*e[32]*e[17]+e[8]*e[14]*e[35]+e[8]*e[31]*e[16]+e[8]*e[13]*e[34]+e[2]*e[27]*e[12]+e[2]*e[9]*e[30]+e[2]*e[29]*e[14]+e[2]*e[11]*e[32]+e[2]*e[28]*e[13]+e[2]*e[10]*e[31]-1.*e[14]*e[27]*e[0]-1.*e[14]*e[34]*e[7]-1.*e[14]*e[33]*e[6]+e[14]*e[30]*e[3]-1.*e[14]*e[28]*e[1]+e[14]*e[31]*e[4];
A[22]=.5000000000*e[18]*ep2[29]+.5000000000*e[18]*ep2[28]+.5000000000*e[18]*ep2[30]+.5000000000*e[18]*ep2[33]-.5000000000*e[18]*ep2[32]-.5000000000*e[18]*ep2[31]-.5000000000*e[18]*ep2[34]-.5000000000*e[18]*ep2[35]+1.500000000*e[18]*ep2[27]+e[27]*e[28]*e[19]+e[27]*e[29]*e[20]+e[21]*e[27]*e[30]+e[21]*e[29]*e[32]+e[21]*e[28]*e[31]+e[30]*e[28]*e[22]+e[30]*e[19]*e[31]+e[30]*e[29]*e[23]+e[30]*e[20]*e[32]+e[24]*e[27]*e[33]+e[24]*e[29]*e[35]+e[24]*e[28]*e[34]+e[33]*e[28]*e[25]+e[33]*e[19]*e[34]+e[33]*e[29]*e[26]+e[33]*e[20]*e[35]-1.*e[27]*e[35]*e[26]-1.*e[27]*e[31]*e[22]-1.*e[27]*e[32]*e[23]-1.*e[27]*e[34]*e[25];
A[132]=e[20]*e[1]*e[4]+e[20]*e[0]*e[3]+e[20]*e[2]*e[5]+e[5]*e[21]*e[3]+e[5]*e[22]*e[4]+e[8]*e[21]*e[6]+e[8]*e[3]*e[24]+e[8]*e[22]*e[7]+e[8]*e[4]*e[25]+e[8]*e[5]*e[26]+e[26]*e[4]*e[7]+e[26]*e[3]*e[6]+e[2]*e[18]*e[3]+e[2]*e[0]*e[21]+e[2]*e[19]*e[4]+e[2]*e[1]*e[22]-1.*e[5]*e[19]*e[1]-1.*e[5]*e[18]*e[0]-1.*e[5]*e[25]*e[7]-1.*e[5]*e[24]*e[6]+.5000000000*e[23]*ep2[4]-.5000000000*e[23]*ep2[0]-.5000000000*e[23]*ep2[6]+1.500000000*e[23]*ep2[5]-.5000000000*e[23]*ep2[1]-.5000000000*e[23]*ep2[7]+.5000000000*e[23]*ep2[3]+.5000000000*e[23]*ep2[2]+.5000000000*e[23]*ep2[8];
A[23]=1.500000000*e[9]*ep2[27]+.5000000000*e[9]*ep2[29]+.5000000000*e[9]*ep2[28]-.5000000000*e[9]*ep2[32]-.5000000000*e[9]*ep2[31]+.5000000000*e[9]*ep2[33]+.5000000000*e[9]*ep2[30]-.5000000000*e[9]*ep2[34]-.5000000000*e[9]*ep2[35]+e[33]*e[27]*e[15]+e[33]*e[29]*e[17]+e[33]*e[11]*e[35]+e[33]*e[28]*e[16]+e[33]*e[10]*e[34]+e[27]*e[29]*e[11]+e[27]*e[28]*e[10]+e[27]*e[30]*e[12]-1.*e[27]*e[31]*e[13]-1.*e[27]*e[32]*e[14]-1.*e[27]*e[34]*e[16]-1.*e[27]*e[35]*e[17]+e[30]*e[29]*e[14]+e[30]*e[11]*e[32]+e[30]*e[28]*e[13]+e[30]*e[10]*e[31]+e[12]*e[29]*e[32]+e[12]*e[28]*e[31]+e[15]*e[29]*e[35]+e[15]*e[28]*e[34];
A[133]=-1.*e[32]*e[24]*e[6]+e[8]*e[30]*e[24]+e[8]*e[21]*e[33]+e[8]*e[31]*e[25]+e[8]*e[22]*e[34]+e[26]*e[30]*e[6]+e[26]*e[3]*e[33]+e[26]*e[31]*e[7]+e[26]*e[4]*e[34]+e[26]*e[32]*e[8]+e[26]*e[5]*e[35]+e[35]*e[21]*e[6]+e[35]*e[3]*e[24]+e[35]*e[22]*e[7]+e[35]*e[4]*e[25]+e[35]*e[23]*e[8]+e[2]*e[27]*e[21]+e[2]*e[18]*e[30]+e[2]*e[28]*e[22]+e[2]*e[19]*e[31]+e[2]*e[29]*e[23]+e[2]*e[20]*e[32]+e[20]*e[27]*e[3]+e[20]*e[0]*e[30]+e[20]*e[28]*e[4]+e[20]*e[1]*e[31]+e[20]*e[29]*e[5]+e[29]*e[18]*e[3]+e[29]*e[0]*e[21]+e[29]*e[19]*e[4]+e[29]*e[1]*e[22]+e[5]*e[30]*e[21]+e[5]*e[31]*e[22]+3.*e[5]*e[32]*e[23]-1.*e[5]*e[27]*e[18]-1.*e[5]*e[33]*e[24]-1.*e[5]*e[28]*e[19]-1.*e[5]*e[34]*e[25]-1.*e[23]*e[27]*e[0]-1.*e[23]*e[34]*e[7]-1.*e[23]*e[33]*e[6]+e[23]*e[30]*e[3]-1.*e[23]*e[28]*e[1]+e[23]*e[31]*e[4]+e[32]*e[21]*e[3]-1.*e[32]*e[19]*e[1]+e[32]*e[22]*e[4]-1.*e[32]*e[18]*e[0]-1.*e[32]*e[25]*e[7];
A[20]=.5000000000*e[27]*ep2[33]-.5000000000*e[27]*ep2[32]-.5000000000*e[27]*ep2[31]-.5000000000*e[27]*ep2[34]-.5000000000*e[27]*ep2[35]+e[33]*e[29]*e[35]+.5000000000*e[27]*ep2[29]+e[30]*e[29]*e[32]+e[30]*e[28]*e[31]+e[33]*e[28]*e[34]+.5000000000*e[27]*ep2[28]+.5000000000*e[27]*ep2[30]+.5000000000*ep3[27];
A[134]=e[14]*e[21]*e[12]+e[14]*e[22]*e[13]+e[17]*e[21]*e[15]+e[17]*e[12]*e[24]+e[17]*e[14]*e[26]+e[17]*e[22]*e[16]+e[17]*e[13]*e[25]+e[26]*e[12]*e[15]+e[26]*e[13]*e[16]-1.*e[14]*e[24]*e[15]-1.*e[14]*e[25]*e[16]-1.*e[14]*e[18]*e[9]-1.*e[14]*e[19]*e[10]+e[11]*e[18]*e[12]+e[11]*e[9]*e[21]+e[11]*e[19]*e[13]+e[11]*e[10]*e[22]+e[20]*e[11]*e[14]+e[20]*e[9]*e[12]+e[20]*e[10]*e[13]+1.500000000*e[23]*ep2[14]+.5000000000*e[23]*ep2[12]+.5000000000*e[23]*ep2[13]+.5000000000*e[23]*ep2[17]+.5000000000*ep2[11]*e[23]-.5000000000*e[23]*ep2[16]-.5000000000*e[23]*ep2[9]-.5000000000*e[23]*ep2[15]-.5000000000*e[23]*ep2[10];
A[21]=1.500000000*e[0]*ep2[27]+.5000000000*e[0]*ep2[29]+.5000000000*e[0]*ep2[28]+.5000000000*e[0]*ep2[30]-.5000000000*e[0]*ep2[32]-.5000000000*e[0]*ep2[31]+.5000000000*e[0]*ep2[33]-.5000000000*e[0]*ep2[34]-.5000000000*e[0]*ep2[35]-1.*e[27]*e[31]*e[4]+e[3]*e[27]*e[30]+e[3]*e[29]*e[32]+e[3]*e[28]*e[31]+e[30]*e[28]*e[4]+e[30]*e[1]*e[31]+e[30]*e[29]*e[5]+e[30]*e[2]*e[32]+e[6]*e[27]*e[33]+e[6]*e[29]*e[35]+e[6]*e[28]*e[34]+e[27]*e[28]*e[1]+e[27]*e[29]*e[2]+e[33]*e[28]*e[7]+e[33]*e[1]*e[34]+e[33]*e[29]*e[8]+e[33]*e[2]*e[35]-1.*e[27]*e[34]*e[7]-1.*e[27]*e[32]*e[5]-1.*e[27]*e[35]*e[8];
A[135]=e[14]*e[12]*e[3]+e[14]*e[13]*e[4]+e[17]*e[12]*e[6]+e[17]*e[3]*e[15]+e[17]*e[13]*e[7]+e[17]*e[4]*e[16]+e[17]*e[14]*e[8]+e[8]*e[12]*e[15]+e[8]*e[13]*e[16]+e[2]*e[11]*e[14]+e[2]*e[9]*e[12]+e[2]*e[10]*e[13]+e[11]*e[9]*e[3]+e[11]*e[0]*e[12]+e[11]*e[10]*e[4]+e[11]*e[1]*e[13]-1.*e[14]*e[10]*e[1]-1.*e[14]*e[16]*e[7]-1.*e[14]*e[15]*e[6]-1.*e[14]*e[9]*e[0]-.5000000000*e[5]*ep2[16]-.5000000000*e[5]*ep2[9]+.5000000000*e[5]*ep2[11]+.5000000000*e[5]*ep2[12]-.5000000000*e[5]*ep2[15]-.5000000000*e[5]*ep2[10]+.5000000000*e[5]*ep2[13]+1.500000000*ep2[14]*e[5]+.5000000000*e[5]*ep2[17];
A[27]=1.500000000*e[27]*ep2[9]-.5000000000*e[27]*ep2[16]+.5000000000*e[27]*ep2[11]+.5000000000*e[27]*ep2[12]+.5000000000*e[27]*ep2[15]-.5000000000*e[27]*ep2[17]+.5000000000*e[27]*ep2[10]-.5000000000*e[27]*ep2[14]-.5000000000*e[27]*ep2[13]+e[12]*e[10]*e[31]+e[30]*e[11]*e[14]+e[30]*e[10]*e[13]+e[15]*e[9]*e[33]+e[15]*e[29]*e[17]+e[15]*e[11]*e[35]+e[15]*e[28]*e[16]+e[15]*e[10]*e[34]+e[33]*e[11]*e[17]+e[33]*e[10]*e[16]-1.*e[9]*e[31]*e[13]-1.*e[9]*e[32]*e[14]-1.*e[9]*e[34]*e[16]-1.*e[9]*e[35]*e[17]+e[9]*e[29]*e[11]+e[9]*e[28]*e[10]+e[12]*e[9]*e[30]+e[12]*e[29]*e[14]+e[12]*e[11]*e[32]+e[12]*e[28]*e[13];
A[137]=e[29]*e[18]*e[12]+e[29]*e[9]*e[21]+e[29]*e[19]*e[13]+e[29]*e[10]*e[22]+e[17]*e[30]*e[24]+e[17]*e[21]*e[33]+e[17]*e[31]*e[25]+e[17]*e[22]*e[34]+e[17]*e[32]*e[26]+e[17]*e[23]*e[35]-1.*e[23]*e[27]*e[9]-1.*e[23]*e[28]*e[10]-1.*e[23]*e[33]*e[15]-1.*e[23]*e[34]*e[16]-1.*e[32]*e[24]*e[15]-1.*e[32]*e[25]*e[16]-1.*e[32]*e[18]*e[9]-1.*e[32]*e[19]*e[10]+e[26]*e[30]*e[15]+e[26]*e[12]*e[33]+e[26]*e[31]*e[16]+e[26]*e[13]*e[34]+e[35]*e[21]*e[15]+e[35]*e[12]*e[24]+e[35]*e[22]*e[16]+e[35]*e[13]*e[25]+e[14]*e[30]*e[21]+e[14]*e[31]*e[22]+3.*e[14]*e[32]*e[23]+e[11]*e[27]*e[21]+e[11]*e[18]*e[30]+e[11]*e[28]*e[22]+e[11]*e[19]*e[31]+e[11]*e[29]*e[23]+e[11]*e[20]*e[32]+e[23]*e[30]*e[12]+e[23]*e[31]*e[13]+e[32]*e[21]*e[12]+e[32]*e[22]*e[13]-1.*e[14]*e[27]*e[18]-1.*e[14]*e[33]*e[24]+e[14]*e[29]*e[20]+e[14]*e[35]*e[26]-1.*e[14]*e[28]*e[19]-1.*e[14]*e[34]*e[25]+e[20]*e[27]*e[12]+e[20]*e[9]*e[30]+e[20]*e[28]*e[13]+e[20]*e[10]*e[31];
A[26]=.5000000000*e[0]*ep2[1]+.5000000000*e[0]*ep2[2]+e[6]*e[2]*e[8]+e[6]*e[1]*e[7]+.5000000000*e[0]*ep2[3]+e[3]*e[1]*e[4]+.5000000000*e[0]*ep2[6]+e[3]*e[2]*e[5]-.5000000000*e[0]*ep2[5]-.5000000000*e[0]*ep2[8]+.5000000000*ep3[0]-.5000000000*e[0]*ep2[7]-.5000000000*e[0]*ep2[4];
A[136]=1.500000000*ep2[23]*e[14]+.5000000000*e[14]*ep2[26]-.5000000000*e[14]*ep2[18]-.5000000000*e[14]*ep2[19]+.5000000000*e[14]*ep2[20]+.5000000000*e[14]*ep2[22]-.5000000000*e[14]*ep2[24]+.5000000000*e[14]*ep2[21]-.5000000000*e[14]*ep2[25]+e[23]*e[21]*e[12]+e[23]*e[22]*e[13]+e[26]*e[21]*e[15]+e[26]*e[12]*e[24]+e[26]*e[23]*e[17]+e[26]*e[22]*e[16]+e[26]*e[13]*e[25]+e[17]*e[22]*e[25]+e[17]*e[21]*e[24]+e[11]*e[19]*e[22]+e[11]*e[18]*e[21]+e[11]*e[20]*e[23]+e[20]*e[18]*e[12]+e[20]*e[9]*e[21]+e[20]*e[19]*e[13]+e[20]*e[10]*e[22]-1.*e[23]*e[24]*e[15]-1.*e[23]*e[25]*e[16]-1.*e[23]*e[18]*e[9]-1.*e[23]*e[19]*e[10];
A[25]=1.500000000*e[27]*ep2[0]-.5000000000*e[27]*ep2[4]+.5000000000*e[27]*ep2[6]-.5000000000*e[27]*ep2[5]+.5000000000*e[27]*ep2[1]-.5000000000*e[27]*ep2[7]+.5000000000*e[27]*ep2[3]+.5000000000*e[27]*ep2[2]-.5000000000*e[27]*ep2[8]+e[0]*e[33]*e[6]+e[0]*e[30]*e[3]-1.*e[0]*e[35]*e[8]-1.*e[0]*e[31]*e[4]+e[3]*e[28]*e[4]+e[3]*e[1]*e[31]+e[3]*e[29]*e[5]+e[3]*e[2]*e[32]+e[30]*e[1]*e[4]+e[30]*e[2]*e[5]+e[6]*e[28]*e[7]+e[6]*e[1]*e[34]+e[6]*e[29]*e[8]+e[6]*e[2]*e[35]+e[33]*e[1]*e[7]+e[33]*e[2]*e[8]+e[0]*e[28]*e[1]+e[0]*e[29]*e[2]-1.*e[0]*e[34]*e[7]-1.*e[0]*e[32]*e[5];
A[139]=e[8]*e[22]*e[25]+e[8]*e[21]*e[24]+e[20]*e[18]*e[3]+e[20]*e[0]*e[21]+e[20]*e[19]*e[4]+e[20]*e[1]*e[22]+e[20]*e[2]*e[23]+e[23]*e[21]*e[3]+e[23]*e[22]*e[4]+e[23]*e[26]*e[8]-1.*e[23]*e[19]*e[1]-1.*e[23]*e[18]*e[0]-1.*e[23]*e[25]*e[7]-1.*e[23]*e[24]*e[6]+e[2]*e[19]*e[22]+e[2]*e[18]*e[21]+e[26]*e[21]*e[6]+e[26]*e[3]*e[24]+e[26]*e[22]*e[7]+e[26]*e[4]*e[25]+.5000000000*ep2[20]*e[5]+1.500000000*ep2[23]*e[5]+.5000000000*e[5]*ep2[22]+.5000000000*e[5]*ep2[21]+.5000000000*e[5]*ep2[26]-.5000000000*e[5]*ep2[18]-.5000000000*e[5]*ep2[19]-.5000000000*e[5]*ep2[24]-.5000000000*e[5]*ep2[25];
A[24]=e[24]*e[11]*e[8]+e[24]*e[2]*e[17]+3.*e[9]*e[18]*e[0]+e[9]*e[19]*e[1]+e[9]*e[20]*e[2]+e[18]*e[10]*e[1]+e[18]*e[11]*e[2]+e[3]*e[18]*e[12]+e[3]*e[9]*e[21]+e[3]*e[20]*e[14]+e[3]*e[11]*e[23]+e[3]*e[19]*e[13]+e[3]*e[10]*e[22]+e[6]*e[18]*e[15]+e[6]*e[9]*e[24]+e[6]*e[20]*e[17]+e[6]*e[11]*e[26]+e[6]*e[19]*e[16]+e[6]*e[10]*e[25]+e[0]*e[20]*e[11]+e[0]*e[19]*e[10]-1.*e[9]*e[26]*e[8]-1.*e[9]*e[22]*e[4]-1.*e[9]*e[25]*e[7]-1.*e[9]*e[23]*e[5]+e[12]*e[0]*e[21]+e[12]*e[19]*e[4]+e[12]*e[1]*e[22]+e[12]*e[20]*e[5]+e[12]*e[2]*e[23]-1.*e[18]*e[13]*e[4]-1.*e[18]*e[16]*e[7]-1.*e[18]*e[14]*e[5]-1.*e[18]*e[17]*e[8]+e[21]*e[10]*e[4]+e[21]*e[1]*e[13]+e[21]*e[11]*e[5]+e[21]*e[2]*e[14]+e[15]*e[0]*e[24]+e[15]*e[19]*e[7]+e[15]*e[1]*e[25]+e[15]*e[20]*e[8]+e[15]*e[2]*e[26]-1.*e[0]*e[23]*e[14]-1.*e[0]*e[25]*e[16]-1.*e[0]*e[26]*e[17]-1.*e[0]*e[22]*e[13]+e[24]*e[10]*e[7]+e[24]*e[1]*e[16];
A[138]=e[11]*e[1]*e[4]+e[11]*e[0]*e[3]+e[11]*e[2]*e[5]+e[5]*e[12]*e[3]+e[5]*e[13]*e[4]+e[8]*e[12]*e[6]+e[8]*e[3]*e[15]+e[8]*e[13]*e[7]+e[8]*e[4]*e[16]+e[8]*e[5]*e[17]+e[17]*e[4]*e[7]+e[17]*e[3]*e[6]-1.*e[5]*e[10]*e[1]-1.*e[5]*e[16]*e[7]-1.*e[5]*e[15]*e[6]-1.*e[5]*e[9]*e[0]+e[2]*e[9]*e[3]+e[2]*e[0]*e[12]+e[2]*e[10]*e[4]+e[2]*e[1]*e[13]+.5000000000*ep2[2]*e[14]-.5000000000*e[14]*ep2[0]-.5000000000*e[14]*ep2[6]-.5000000000*e[14]*ep2[1]-.5000000000*e[14]*ep2[7]+1.500000000*e[14]*ep2[5]+.5000000000*e[14]*ep2[4]+.5000000000*e[14]*ep2[3]+.5000000000*e[14]*ep2[8];
A[31]=e[3]*e[27]*e[12]+e[3]*e[9]*e[30]+e[3]*e[29]*e[14]+e[3]*e[11]*e[32]+e[3]*e[28]*e[13]+e[3]*e[10]*e[31]+e[6]*e[27]*e[15]+e[6]*e[9]*e[33]+e[6]*e[29]*e[17]+e[6]*e[11]*e[35]+e[6]*e[28]*e[16]+e[6]*e[10]*e[34]+3.*e[0]*e[27]*e[9]+e[0]*e[29]*e[11]+e[0]*e[28]*e[10]-1.*e[9]*e[34]*e[7]-1.*e[9]*e[32]*e[5]-1.*e[9]*e[35]*e[8]+e[9]*e[29]*e[2]+e[9]*e[28]*e[1]-1.*e[9]*e[31]*e[4]+e[12]*e[0]*e[30]+e[12]*e[28]*e[4]+e[12]*e[1]*e[31]+e[12]*e[29]*e[5]+e[12]*e[2]*e[32]+e[27]*e[11]*e[2]+e[27]*e[10]*e[1]-1.*e[27]*e[13]*e[4]-1.*e[27]*e[16]*e[7]-1.*e[27]*e[14]*e[5]-1.*e[27]*e[17]*e[8]+e[30]*e[10]*e[4]+e[30]*e[1]*e[13]+e[30]*e[11]*e[5]+e[30]*e[2]*e[14]+e[15]*e[0]*e[33]+e[15]*e[28]*e[7]+e[15]*e[1]*e[34]+e[15]*e[29]*e[8]+e[15]*e[2]*e[35]-1.*e[0]*e[31]*e[13]-1.*e[0]*e[32]*e[14]-1.*e[0]*e[34]*e[16]-1.*e[0]*e[35]*e[17]+e[33]*e[10]*e[7]+e[33]*e[1]*e[16]+e[33]*e[11]*e[8]+e[33]*e[2]*e[17];
A[141]=.5000000000*ep2[30]*e[6]+.5000000000*e[6]*ep2[27]-.5000000000*e[6]*ep2[32]-.5000000000*e[6]*ep2[28]-.5000000000*e[6]*ep2[29]-.5000000000*e[6]*ep2[31]+1.500000000*e[6]*ep2[33]+.5000000000*e[6]*ep2[34]+.5000000000*e[6]*ep2[35]+e[0]*e[27]*e[33]+e[0]*e[29]*e[35]+e[0]*e[28]*e[34]+e[3]*e[30]*e[33]+e[3]*e[32]*e[35]+e[3]*e[31]*e[34]+e[30]*e[31]*e[7]+e[30]*e[4]*e[34]+e[30]*e[32]*e[8]+e[30]*e[5]*e[35]+e[27]*e[28]*e[7]+e[27]*e[1]*e[34]+e[27]*e[29]*e[8]+e[27]*e[2]*e[35]+e[33]*e[34]*e[7]+e[33]*e[35]*e[8]-1.*e[33]*e[32]*e[5]-1.*e[33]*e[29]*e[2]-1.*e[33]*e[28]*e[1]-1.*e[33]*e[31]*e[4];
A[30]=e[24]*e[20]*e[26]+e[21]*e[19]*e[22]-.5000000000*e[18]*ep2[22]-.5000000000*e[18]*ep2[25]+.5000000000*ep3[18]+.5000000000*e[18]*ep2[21]+e[21]*e[20]*e[23]+.5000000000*e[18]*ep2[20]+.5000000000*e[18]*ep2[19]+.5000000000*e[18]*ep2[24]+e[24]*e[19]*e[25]-.5000000000*e[18]*ep2[23]-.5000000000*e[18]*ep2[26];
A[140]=.5000000000*e[33]*ep2[35]+.5000000000*ep3[33]+.5000000000*ep2[27]*e[33]+.5000000000*ep2[30]*e[33]-.5000000000*e[33]*ep2[29]+.5000000000*e[33]*ep2[34]-.5000000000*e[33]*ep2[32]-.5000000000*e[33]*ep2[28]+e[30]*e[32]*e[35]-.5000000000*e[33]*ep2[31]+e[27]*e[29]*e[35]+e[27]*e[28]*e[34]+e[30]*e[31]*e[34];
A[29]=1.500000000*e[27]*ep2[18]+.5000000000*e[27]*ep2[19]+.5000000000*e[27]*ep2[20]+.5000000000*e[27]*ep2[21]+.5000000000*e[27]*ep2[24]-.5000000000*e[27]*ep2[26]-.5000000000*e[27]*ep2[23]-.5000000000*e[27]*ep2[22]-.5000000000*e[27]*ep2[25]+e[33]*e[20]*e[26]-1.*e[18]*e[35]*e[26]-1.*e[18]*e[31]*e[22]-1.*e[18]*e[32]*e[23]-1.*e[18]*e[34]*e[25]+e[18]*e[28]*e[19]+e[18]*e[29]*e[20]+e[21]*e[18]*e[30]+e[21]*e[28]*e[22]+e[21]*e[19]*e[31]+e[21]*e[29]*e[23]+e[21]*e[20]*e[32]+e[30]*e[19]*e[22]+e[30]*e[20]*e[23]+e[24]*e[18]*e[33]+e[24]*e[28]*e[25]+e[24]*e[19]*e[34]+e[24]*e[29]*e[26]+e[24]*e[20]*e[35]+e[33]*e[19]*e[25];
A[143]=e[9]*e[27]*e[33]+e[9]*e[29]*e[35]+e[9]*e[28]*e[34]+e[33]*e[35]*e[17]+e[33]*e[34]*e[16]+e[27]*e[29]*e[17]+e[27]*e[11]*e[35]+e[27]*e[28]*e[16]+e[27]*e[10]*e[34]+e[33]*e[30]*e[12]-1.*e[33]*e[28]*e[10]-1.*e[33]*e[31]*e[13]-1.*e[33]*e[32]*e[14]-1.*e[33]*e[29]*e[11]+e[30]*e[32]*e[17]+e[30]*e[14]*e[35]+e[30]*e[31]*e[16]+e[30]*e[13]*e[34]+e[12]*e[32]*e[35]+e[12]*e[31]*e[34]+.5000000000*e[15]*ep2[27]-.5000000000*e[15]*ep2[32]-.5000000000*e[15]*ep2[28]-.5000000000*e[15]*ep2[29]-.5000000000*e[15]*ep2[31]+1.500000000*e[15]*ep2[33]+.5000000000*e[15]*ep2[30]+.5000000000*e[15]*ep2[34]+.5000000000*e[15]*ep2[35];
A[28]=.5000000000*e[9]*ep2[12]-.5000000000*e[9]*ep2[16]+.5000000000*e[9]*ep2[10]-.5000000000*e[9]*ep2[17]-.5000000000*e[9]*ep2[13]+e[15]*e[10]*e[16]+e[12]*e[11]*e[14]+.5000000000*e[9]*ep2[11]+.5000000000*e[9]*ep2[15]-.5000000000*e[9]*ep2[14]+e[15]*e[11]*e[17]+.5000000000*ep3[9]+e[12]*e[10]*e[13];
A[142]=e[18]*e[27]*e[33]+e[18]*e[29]*e[35]+e[18]*e[28]*e[34]+e[27]*e[28]*e[25]+e[27]*e[19]*e[34]+e[27]*e[29]*e[26]+e[27]*e[20]*e[35]+e[21]*e[30]*e[33]+e[21]*e[32]*e[35]+e[21]*e[31]*e[34]+e[30]*e[31]*e[25]+e[30]*e[22]*e[34]+e[30]*e[32]*e[26]+e[30]*e[23]*e[35]+e[33]*e[34]*e[25]+e[33]*e[35]*e[26]-1.*e[33]*e[29]*e[20]-1.*e[33]*e[31]*e[22]-1.*e[33]*e[32]*e[23]-1.*e[33]*e[28]*e[19]+.5000000000*ep2[27]*e[24]+.5000000000*ep2[30]*e[24]+1.500000000*e[24]*ep2[33]+.5000000000*e[24]*ep2[35]+.5000000000*e[24]*ep2[34]-.5000000000*e[24]*ep2[32]-.5000000000*e[24]*ep2[28]-.5000000000*e[24]*ep2[29]-.5000000000*e[24]*ep2[31];
A[36]=.5000000000*e[9]*ep2[21]+.5000000000*e[9]*ep2[24]+.5000000000*e[9]*ep2[19]+1.500000000*e[9]*ep2[18]+.5000000000*e[9]*ep2[20]-.5000000000*e[9]*ep2[26]-.5000000000*e[9]*ep2[23]-.5000000000*e[9]*ep2[22]-.5000000000*e[9]*ep2[25]+e[21]*e[18]*e[12]+e[21]*e[20]*e[14]+e[21]*e[11]*e[23]+e[21]*e[19]*e[13]+e[21]*e[10]*e[22]+e[24]*e[18]*e[15]+e[24]*e[20]*e[17]+e[24]*e[11]*e[26]+e[24]*e[19]*e[16]+e[24]*e[10]*e[25]+e[15]*e[19]*e[25]+e[15]*e[20]*e[26]+e[12]*e[19]*e[22]+e[12]*e[20]*e[23]+e[18]*e[20]*e[11]+e[18]*e[19]*e[10]-1.*e[18]*e[23]*e[14]-1.*e[18]*e[25]*e[16]-1.*e[18]*e[26]*e[17]-1.*e[18]*e[22]*e[13];
A[182]=.5000000000*ep2[29]*e[26]+.5000000000*ep2[32]*e[26]+.5000000000*e[26]*ep2[33]+1.500000000*e[26]*ep2[35]+.5000000000*e[26]*ep2[34]-.5000000000*e[26]*ep2[27]-.5000000000*e[26]*ep2[28]-.5000000000*e[26]*ep2[31]-.5000000000*e[26]*ep2[30]+e[20]*e[27]*e[33]+e[20]*e[29]*e[35]+e[20]*e[28]*e[34]+e[29]*e[27]*e[24]+e[29]*e[18]*e[33]+e[29]*e[28]*e[25]+e[29]*e[19]*e[34]+e[23]*e[30]*e[33]+e[23]*e[32]*e[35]+e[23]*e[31]*e[34]+e[32]*e[30]*e[24]+e[32]*e[21]*e[33]+e[32]*e[31]*e[25]+e[32]*e[22]*e[34]+e[35]*e[33]*e[24]+e[35]*e[34]*e[25]-1.*e[35]*e[27]*e[18]-1.*e[35]*e[30]*e[21]-1.*e[35]*e[31]*e[22]-1.*e[35]*e[28]*e[19];
A[37]=e[12]*e[19]*e[31]+e[12]*e[29]*e[23]+e[12]*e[20]*e[32]+3.*e[9]*e[27]*e[18]+e[9]*e[28]*e[19]+e[9]*e[29]*e[20]+e[21]*e[9]*e[30]+e[21]*e[29]*e[14]+e[21]*e[11]*e[32]+e[21]*e[28]*e[13]+e[21]*e[10]*e[31]+e[30]*e[20]*e[14]+e[30]*e[11]*e[23]+e[30]*e[19]*e[13]+e[30]*e[10]*e[22]+e[9]*e[33]*e[24]-1.*e[9]*e[35]*e[26]-1.*e[9]*e[31]*e[22]-1.*e[9]*e[32]*e[23]-1.*e[9]*e[34]*e[25]+e[18]*e[29]*e[11]+e[18]*e[28]*e[10]+e[27]*e[20]*e[11]+e[27]*e[19]*e[10]+e[15]*e[27]*e[24]+e[15]*e[18]*e[33]+e[15]*e[28]*e[25]+e[15]*e[19]*e[34]+e[15]*e[29]*e[26]+e[15]*e[20]*e[35]-1.*e[18]*e[31]*e[13]-1.*e[18]*e[32]*e[14]-1.*e[18]*e[34]*e[16]-1.*e[18]*e[35]*e[17]-1.*e[27]*e[23]*e[14]-1.*e[27]*e[25]*e[16]-1.*e[27]*e[26]*e[17]-1.*e[27]*e[22]*e[13]+e[24]*e[29]*e[17]+e[24]*e[11]*e[35]+e[24]*e[28]*e[16]+e[24]*e[10]*e[34]+e[33]*e[20]*e[17]+e[33]*e[11]*e[26]+e[33]*e[19]*e[16]+e[33]*e[10]*e[25]+e[12]*e[27]*e[21]+e[12]*e[18]*e[30]+e[12]*e[28]*e[22];
A[183]=-.5000000000*e[17]*ep2[27]+.5000000000*e[17]*ep2[32]-.5000000000*e[17]*ep2[28]+.5000000000*e[17]*ep2[29]-.5000000000*e[17]*ep2[31]+.5000000000*e[17]*ep2[33]-.5000000000*e[17]*ep2[30]+.5000000000*e[17]*ep2[34]+1.500000000*e[17]*ep2[35]+e[32]*e[30]*e[15]+e[32]*e[12]*e[33]+e[32]*e[31]*e[16]+e[32]*e[13]*e[34]+e[14]*e[30]*e[33]+e[14]*e[31]*e[34]+e[11]*e[27]*e[33]+e[11]*e[29]*e[35]+e[11]*e[28]*e[34]+e[35]*e[33]*e[15]+e[35]*e[34]*e[16]+e[29]*e[27]*e[15]+e[29]*e[9]*e[33]+e[29]*e[28]*e[16]+e[29]*e[10]*e[34]-1.*e[35]*e[27]*e[9]-1.*e[35]*e[30]*e[12]-1.*e[35]*e[28]*e[10]-1.*e[35]*e[31]*e[13]+e[35]*e[32]*e[14];
A[38]=.5000000000*e[9]*ep2[1]+1.500000000*e[9]*ep2[0]+.5000000000*e[9]*ep2[2]+.5000000000*e[9]*ep2[3]+.5000000000*e[9]*ep2[6]-.5000000000*e[9]*ep2[4]-.5000000000*e[9]*ep2[5]-.5000000000*e[9]*ep2[7]-.5000000000*e[9]*ep2[8]+e[6]*e[0]*e[15]+e[6]*e[10]*e[7]+e[6]*e[1]*e[16]+e[6]*e[11]*e[8]+e[6]*e[2]*e[17]+e[15]*e[1]*e[7]+e[15]*e[2]*e[8]+e[0]*e[11]*e[2]+e[0]*e[10]*e[1]-1.*e[0]*e[13]*e[4]-1.*e[0]*e[16]*e[7]-1.*e[0]*e[14]*e[5]-1.*e[0]*e[17]*e[8]+e[3]*e[0]*e[12]+e[3]*e[10]*e[4]+e[3]*e[1]*e[13]+e[3]*e[11]*e[5]+e[3]*e[2]*e[14]+e[12]*e[1]*e[4]+e[12]*e[2]*e[5];
A[180]=.5000000000*e[35]*ep2[33]+.5000000000*e[35]*ep2[34]-.5000000000*e[35]*ep2[27]-.5000000000*e[35]*ep2[28]-.5000000000*e[35]*ep2[31]-.5000000000*e[35]*ep2[30]+e[32]*e[31]*e[34]+.5000000000*ep2[29]*e[35]+.5000000000*ep2[32]*e[35]+e[29]*e[28]*e[34]+e[32]*e[30]*e[33]+.5000000000*ep3[35]+e[29]*e[27]*e[33];
A[39]=.5000000000*e[0]*ep2[19]+.5000000000*e[0]*ep2[20]+.5000000000*e[0]*ep2[24]-.5000000000*e[0]*ep2[26]-.5000000000*e[0]*ep2[23]-.5000000000*e[0]*ep2[22]-.5000000000*e[0]*ep2[25]+1.500000000*ep2[18]*e[0]+.5000000000*e[0]*ep2[21]+e[18]*e[19]*e[1]+e[18]*e[20]*e[2]+e[21]*e[18]*e[3]+e[21]*e[19]*e[4]+e[21]*e[1]*e[22]+e[21]*e[20]*e[5]+e[21]*e[2]*e[23]-1.*e[18]*e[26]*e[8]-1.*e[18]*e[22]*e[4]-1.*e[18]*e[25]*e[7]-1.*e[18]*e[23]*e[5]+e[18]*e[24]*e[6]+e[3]*e[19]*e[22]+e[3]*e[20]*e[23]+e[24]*e[19]*e[7]+e[24]*e[1]*e[25]+e[24]*e[20]*e[8]+e[24]*e[2]*e[26]+e[6]*e[19]*e[25]+e[6]*e[20]*e[26];
A[181]=.5000000000*ep2[32]*e[8]-.5000000000*e[8]*ep2[27]-.5000000000*e[8]*ep2[28]+.5000000000*e[8]*ep2[29]-.5000000000*e[8]*ep2[31]+.5000000000*e[8]*ep2[33]-.5000000000*e[8]*ep2[30]+.5000000000*e[8]*ep2[34]+1.500000000*e[8]*ep2[35]+e[2]*e[27]*e[33]+e[2]*e[29]*e[35]+e[2]*e[28]*e[34]+e[5]*e[30]*e[33]+e[5]*e[32]*e[35]+e[5]*e[31]*e[34]+e[32]*e[30]*e[6]+e[32]*e[3]*e[33]+e[32]*e[31]*e[7]+e[32]*e[4]*e[34]+e[29]*e[27]*e[6]+e[29]*e[0]*e[33]+e[29]*e[28]*e[7]+e[29]*e[1]*e[34]+e[35]*e[33]*e[6]+e[35]*e[34]*e[7]-1.*e[35]*e[27]*e[0]-1.*e[35]*e[30]*e[3]-1.*e[35]*e[28]*e[1]-1.*e[35]*e[31]*e[4];
A[32]=-.5000000000*e[18]*ep2[4]+1.500000000*e[18]*ep2[0]+.5000000000*e[18]*ep2[6]-.5000000000*e[18]*ep2[5]+.5000000000*e[18]*ep2[1]-.5000000000*e[18]*ep2[7]+.5000000000*e[18]*ep2[3]+.5000000000*e[18]*ep2[2]-.5000000000*e[18]*ep2[8]+e[3]*e[0]*e[21]+e[3]*e[19]*e[4]+e[3]*e[1]*e[22]+e[3]*e[20]*e[5]+e[3]*e[2]*e[23]+e[21]*e[1]*e[4]+e[21]*e[2]*e[5]+e[6]*e[0]*e[24]+e[6]*e[19]*e[7]+e[6]*e[1]*e[25]+e[6]*e[20]*e[8]+e[6]*e[2]*e[26]+e[24]*e[1]*e[7]+e[24]*e[2]*e[8]+e[0]*e[19]*e[1]+e[0]*e[20]*e[2]-1.*e[0]*e[26]*e[8]-1.*e[0]*e[22]*e[4]-1.*e[0]*e[25]*e[7]-1.*e[0]*e[23]*e[5];
A[178]=e[10]*e[1]*e[7]+e[10]*e[0]*e[6]+e[10]*e[2]*e[8]+e[4]*e[12]*e[6]+e[4]*e[3]*e[15]+e[4]*e[13]*e[7]+e[4]*e[14]*e[8]+e[4]*e[5]*e[17]+e[13]*e[3]*e[6]+e[13]*e[5]*e[8]+e[7]*e[15]*e[6]+e[7]*e[17]*e[8]-1.*e[7]*e[11]*e[2]-1.*e[7]*e[9]*e[0]-1.*e[7]*e[14]*e[5]-1.*e[7]*e[12]*e[3]+e[1]*e[9]*e[6]+e[1]*e[0]*e[15]+e[1]*e[11]*e[8]+e[1]*e[2]*e[17]+1.500000000*e[16]*ep2[7]+.5000000000*e[16]*ep2[6]+.5000000000*e[16]*ep2[8]+.5000000000*ep2[1]*e[16]-.5000000000*e[16]*ep2[0]-.5000000000*e[16]*ep2[5]-.5000000000*e[16]*ep2[3]-.5000000000*e[16]*ep2[2]+.5000000000*ep2[4]*e[16];
A[33]=e[0]*e[30]*e[21]-1.*e[0]*e[35]*e[26]-1.*e[0]*e[31]*e[22]-1.*e[0]*e[32]*e[23]-1.*e[0]*e[34]*e[25]-1.*e[18]*e[34]*e[7]-1.*e[18]*e[32]*e[5]-1.*e[18]*e[35]*e[8]-1.*e[18]*e[31]*e[4]-1.*e[27]*e[26]*e[8]-1.*e[27]*e[22]*e[4]-1.*e[27]*e[25]*e[7]-1.*e[27]*e[23]*e[5]+e[6]*e[28]*e[25]+e[6]*e[19]*e[34]+e[6]*e[29]*e[26]+e[6]*e[20]*e[35]+e[21]*e[28]*e[4]+e[21]*e[1]*e[31]+e[21]*e[29]*e[5]+e[21]*e[2]*e[32]+e[30]*e[19]*e[4]+e[30]*e[1]*e[22]+e[30]*e[20]*e[5]+e[30]*e[2]*e[23]+e[24]*e[27]*e[6]+e[24]*e[0]*e[33]+e[24]*e[28]*e[7]+e[24]*e[1]*e[34]+e[24]*e[29]*e[8]+e[24]*e[2]*e[35]+e[33]*e[18]*e[6]+e[33]*e[19]*e[7]+e[33]*e[1]*e[25]+e[33]*e[20]*e[8]+e[33]*e[2]*e[26]+3.*e[0]*e[27]*e[18]+e[0]*e[28]*e[19]+e[0]*e[29]*e[20]+e[18]*e[28]*e[1]+e[18]*e[29]*e[2]+e[27]*e[19]*e[1]+e[27]*e[20]*e[2]+e[3]*e[27]*e[21]+e[3]*e[18]*e[30]+e[3]*e[28]*e[22]+e[3]*e[19]*e[31]+e[3]*e[29]*e[23]+e[3]*e[20]*e[32];
A[179]=e[19]*e[18]*e[6]+e[19]*e[0]*e[24]+e[19]*e[1]*e[25]+e[19]*e[20]*e[8]+e[19]*e[2]*e[26]+e[22]*e[21]*e[6]+e[22]*e[3]*e[24]+e[22]*e[4]*e[25]+e[22]*e[23]*e[8]+e[22]*e[5]*e[26]-1.*e[25]*e[21]*e[3]+e[25]*e[26]*e[8]-1.*e[25]*e[20]*e[2]-1.*e[25]*e[18]*e[0]-1.*e[25]*e[23]*e[5]+e[25]*e[24]*e[6]+e[1]*e[18]*e[24]+e[1]*e[20]*e[26]+e[4]*e[21]*e[24]+e[4]*e[23]*e[26]+.5000000000*ep2[19]*e[7]+.5000000000*ep2[22]*e[7]+1.500000000*ep2[25]*e[7]+.5000000000*e[7]*ep2[26]-.5000000000*e[7]*ep2[18]-.5000000000*e[7]*ep2[23]-.5000000000*e[7]*ep2[20]+.5000000000*e[7]*ep2[24]-.5000000000*e[7]*ep2[21];
A[34]=.5000000000*e[18]*ep2[11]+1.500000000*e[18]*ep2[9]+.5000000000*e[18]*ep2[10]+.5000000000*e[18]*ep2[12]+.5000000000*e[18]*ep2[15]-.5000000000*e[18]*ep2[16]-.5000000000*e[18]*ep2[17]-.5000000000*e[18]*ep2[14]-.5000000000*e[18]*ep2[13]+e[12]*e[9]*e[21]+e[12]*e[20]*e[14]+e[12]*e[11]*e[23]+e[12]*e[19]*e[13]+e[12]*e[10]*e[22]+e[21]*e[11]*e[14]+e[21]*e[10]*e[13]+e[15]*e[9]*e[24]+e[15]*e[20]*e[17]+e[15]*e[11]*e[26]+e[15]*e[19]*e[16]+e[15]*e[10]*e[25]+e[24]*e[11]*e[17]+e[24]*e[10]*e[16]-1.*e[9]*e[23]*e[14]-1.*e[9]*e[25]*e[16]-1.*e[9]*e[26]*e[17]+e[9]*e[20]*e[11]+e[9]*e[19]*e[10]-1.*e[9]*e[22]*e[13];
A[176]=e[13]*e[21]*e[24]+e[13]*e[23]*e[26]+e[19]*e[18]*e[15]+e[19]*e[9]*e[24]+e[19]*e[20]*e[17]+e[19]*e[11]*e[26]-1.*e[25]*e[23]*e[14]-1.*e[25]*e[20]*e[11]-1.*e[25]*e[18]*e[9]-1.*e[25]*e[21]*e[12]+e[22]*e[21]*e[15]+e[22]*e[12]*e[24]+e[22]*e[23]*e[17]+e[22]*e[14]*e[26]+e[22]*e[13]*e[25]+e[25]*e[24]*e[15]+e[25]*e[26]*e[17]+e[10]*e[19]*e[25]+e[10]*e[18]*e[24]+e[10]*e[20]*e[26]-.5000000000*e[16]*ep2[18]-.5000000000*e[16]*ep2[23]+.5000000000*e[16]*ep2[19]-.5000000000*e[16]*ep2[20]-.5000000000*e[16]*ep2[21]+.5000000000*ep2[22]*e[16]+1.500000000*ep2[25]*e[16]+.5000000000*e[16]*ep2[24]+.5000000000*e[16]*ep2[26];
A[35]=.5000000000*e[0]*ep2[12]+.5000000000*e[0]*ep2[15]+.5000000000*e[0]*ep2[11]+1.500000000*e[0]*ep2[9]+.5000000000*e[0]*ep2[10]-.5000000000*e[0]*ep2[16]-.5000000000*e[0]*ep2[17]-.5000000000*e[0]*ep2[14]-.5000000000*e[0]*ep2[13]+e[12]*e[9]*e[3]+e[12]*e[10]*e[4]+e[12]*e[1]*e[13]+e[12]*e[11]*e[5]+e[12]*e[2]*e[14]+e[15]*e[9]*e[6]+e[15]*e[10]*e[7]+e[15]*e[1]*e[16]+e[15]*e[11]*e[8]+e[15]*e[2]*e[17]+e[6]*e[11]*e[17]+e[6]*e[10]*e[16]+e[3]*e[11]*e[14]+e[3]*e[10]*e[13]+e[9]*e[10]*e[1]+e[9]*e[11]*e[2]-1.*e[9]*e[13]*e[4]-1.*e[9]*e[16]*e[7]-1.*e[9]*e[14]*e[5]-1.*e[9]*e[17]*e[8];
A[177]=e[19]*e[11]*e[35]+e[28]*e[18]*e[15]+e[28]*e[9]*e[24]+e[28]*e[20]*e[17]+e[28]*e[11]*e[26]-1.*e[25]*e[27]*e[9]-1.*e[25]*e[30]*e[12]-1.*e[25]*e[32]*e[14]+e[25]*e[33]*e[15]+e[25]*e[35]*e[17]-1.*e[25]*e[29]*e[11]-1.*e[34]*e[23]*e[14]+e[34]*e[24]*e[15]+e[34]*e[26]*e[17]-1.*e[34]*e[20]*e[11]-1.*e[34]*e[18]*e[9]-1.*e[34]*e[21]*e[12]+e[13]*e[30]*e[24]+e[13]*e[21]*e[33]+e[13]*e[31]*e[25]+e[13]*e[22]*e[34]+e[13]*e[32]*e[26]+e[13]*e[23]*e[35]+e[10]*e[27]*e[24]+e[10]*e[18]*e[33]+e[10]*e[28]*e[25]+e[10]*e[19]*e[34]+e[10]*e[29]*e[26]+e[10]*e[20]*e[35]+e[22]*e[30]*e[15]+e[22]*e[12]*e[33]+e[22]*e[32]*e[17]+e[22]*e[14]*e[35]+e[22]*e[31]*e[16]+e[31]*e[21]*e[15]+e[31]*e[12]*e[24]+e[31]*e[23]*e[17]+e[31]*e[14]*e[26]-1.*e[16]*e[27]*e[18]+e[16]*e[33]*e[24]-1.*e[16]*e[30]*e[21]-1.*e[16]*e[29]*e[20]+e[16]*e[35]*e[26]-1.*e[16]*e[32]*e[23]+e[16]*e[28]*e[19]+3.*e[16]*e[34]*e[25]+e[19]*e[27]*e[15]+e[19]*e[9]*e[33]+e[19]*e[29]*e[17];
A[45]=e[4]*e[27]*e[3]+e[4]*e[0]*e[30]+e[4]*e[29]*e[5]+e[4]*e[2]*e[32]+e[31]*e[0]*e[3]+e[31]*e[2]*e[5]+e[7]*e[27]*e[6]+e[7]*e[0]*e[33]+e[7]*e[29]*e[8]+e[7]*e[2]*e[35]+e[34]*e[0]*e[6]+e[34]*e[2]*e[8]+e[1]*e[27]*e[0]+e[1]*e[29]*e[2]+e[1]*e[34]*e[7]-1.*e[1]*e[32]*e[5]-1.*e[1]*e[33]*e[6]-1.*e[1]*e[30]*e[3]-1.*e[1]*e[35]*e[8]+e[1]*e[31]*e[4]+1.500000000*e[28]*ep2[1]+.5000000000*e[28]*ep2[4]+.5000000000*e[28]*ep2[0]-.5000000000*e[28]*ep2[6]-.5000000000*e[28]*ep2[5]+.5000000000*e[28]*ep2[7]-.5000000000*e[28]*ep2[3]+.5000000000*e[28]*ep2[2]-.5000000000*e[28]*ep2[8];
A[191]=-1.*e[35]*e[10]*e[1]-1.*e[35]*e[13]*e[4]+e[35]*e[16]*e[7]+e[35]*e[15]*e[6]-1.*e[35]*e[9]*e[0]-1.*e[35]*e[12]*e[3]+e[32]*e[12]*e[6]+e[32]*e[3]*e[15]+e[32]*e[13]*e[7]+e[32]*e[4]*e[16]-1.*e[8]*e[27]*e[9]-1.*e[8]*e[30]*e[12]-1.*e[8]*e[28]*e[10]-1.*e[8]*e[31]*e[13]+e[8]*e[29]*e[11]+e[11]*e[27]*e[6]+e[11]*e[0]*e[33]+e[11]*e[28]*e[7]+e[11]*e[1]*e[34]+e[29]*e[9]*e[6]+e[29]*e[0]*e[15]+e[29]*e[10]*e[7]+e[29]*e[1]*e[16]+e[5]*e[30]*e[15]+e[5]*e[12]*e[33]+e[5]*e[32]*e[17]+e[5]*e[14]*e[35]+e[5]*e[31]*e[16]+e[5]*e[13]*e[34]+e[8]*e[33]*e[15]+3.*e[8]*e[35]*e[17]+e[8]*e[34]*e[16]+e[2]*e[27]*e[15]+e[2]*e[9]*e[33]+e[2]*e[29]*e[17]+e[2]*e[11]*e[35]+e[2]*e[28]*e[16]+e[2]*e[10]*e[34]-1.*e[17]*e[27]*e[0]+e[17]*e[34]*e[7]+e[17]*e[33]*e[6]-1.*e[17]*e[30]*e[3]-1.*e[17]*e[28]*e[1]-1.*e[17]*e[31]*e[4]+e[14]*e[30]*e[6]+e[14]*e[3]*e[33]+e[14]*e[31]*e[7]+e[14]*e[4]*e[34]+e[14]*e[32]*e[8];
A[44]=e[19]*e[11]*e[2]+e[4]*e[18]*e[12]+e[4]*e[9]*e[21]+e[4]*e[20]*e[14]+e[4]*e[11]*e[23]+e[4]*e[19]*e[13]+e[4]*e[10]*e[22]+e[7]*e[18]*e[15]+e[7]*e[9]*e[24]+e[7]*e[20]*e[17]+e[7]*e[11]*e[26]+e[7]*e[19]*e[16]+e[7]*e[10]*e[25]+e[1]*e[18]*e[9]+e[1]*e[20]*e[11]-1.*e[10]*e[21]*e[3]-1.*e[10]*e[26]*e[8]-1.*e[10]*e[23]*e[5]-1.*e[10]*e[24]*e[6]+e[13]*e[18]*e[3]+e[13]*e[0]*e[21]+e[13]*e[1]*e[22]+e[13]*e[20]*e[5]+e[13]*e[2]*e[23]-1.*e[19]*e[15]*e[6]-1.*e[19]*e[14]*e[5]-1.*e[19]*e[12]*e[3]-1.*e[19]*e[17]*e[8]+e[22]*e[9]*e[3]+e[22]*e[0]*e[12]+e[22]*e[11]*e[5]+e[22]*e[2]*e[14]+e[16]*e[18]*e[6]+e[16]*e[0]*e[24]+e[16]*e[1]*e[25]+e[16]*e[20]*e[8]+e[16]*e[2]*e[26]-1.*e[1]*e[23]*e[14]-1.*e[1]*e[24]*e[15]-1.*e[1]*e[26]*e[17]-1.*e[1]*e[21]*e[12]+e[25]*e[9]*e[6]+e[25]*e[0]*e[15]+e[25]*e[11]*e[8]+e[25]*e[2]*e[17]+e[10]*e[18]*e[0]+3.*e[10]*e[19]*e[1]+e[10]*e[20]*e[2]+e[19]*e[9]*e[0];
A[190]=.5000000000*ep2[23]*e[26]+.5000000000*e[26]*ep2[25]+.5000000000*ep2[20]*e[26]-.5000000000*e[26]*ep2[18]+.5000000000*ep3[26]+.5000000000*e[26]*ep2[24]+e[20]*e[19]*e[25]-.5000000000*e[26]*ep2[19]-.5000000000*e[26]*ep2[21]+e[20]*e[18]*e[24]-.5000000000*e[26]*ep2[22]+e[23]*e[21]*e[24]+e[23]*e[22]*e[25];
A[47]=e[16]*e[9]*e[33]+e[16]*e[29]*e[17]+e[16]*e[11]*e[35]+e[16]*e[10]*e[34]+e[34]*e[11]*e[17]+e[34]*e[9]*e[15]-1.*e[10]*e[30]*e[12]-1.*e[10]*e[32]*e[14]-1.*e[10]*e[33]*e[15]-1.*e[10]*e[35]*e[17]+e[10]*e[27]*e[9]+e[10]*e[29]*e[11]+e[13]*e[27]*e[12]+e[13]*e[9]*e[30]+e[13]*e[29]*e[14]+e[13]*e[11]*e[32]+e[13]*e[10]*e[31]+e[31]*e[11]*e[14]+e[31]*e[9]*e[12]+e[16]*e[27]*e[15]+1.500000000*e[28]*ep2[10]+.5000000000*e[28]*ep2[16]+.5000000000*e[28]*ep2[9]+.5000000000*e[28]*ep2[11]-.5000000000*e[28]*ep2[12]-.5000000000*e[28]*ep2[15]-.5000000000*e[28]*ep2[17]-.5000000000*e[28]*ep2[14]+.5000000000*e[28]*ep2[13];
A[189]=.5000000000*ep2[20]*e[35]+.5000000000*ep2[23]*e[35]+1.500000000*e[35]*ep2[26]+.5000000000*e[35]*ep2[25]+.5000000000*e[35]*ep2[24]-.5000000000*e[35]*ep2[18]-.5000000000*e[35]*ep2[19]-.5000000000*e[35]*ep2[22]-.5000000000*e[35]*ep2[21]+e[20]*e[27]*e[24]+e[20]*e[18]*e[33]+e[20]*e[28]*e[25]+e[20]*e[19]*e[34]+e[20]*e[29]*e[26]+e[29]*e[19]*e[25]+e[29]*e[18]*e[24]+e[23]*e[30]*e[24]+e[23]*e[21]*e[33]+e[23]*e[31]*e[25]+e[23]*e[22]*e[34]+e[23]*e[32]*e[26]+e[32]*e[22]*e[25]+e[32]*e[21]*e[24]+e[26]*e[33]*e[24]+e[26]*e[34]*e[25]-1.*e[26]*e[27]*e[18]-1.*e[26]*e[30]*e[21]-1.*e[26]*e[31]*e[22]-1.*e[26]*e[28]*e[19];
A[46]=e[4]*e[2]*e[5]+.5000000000*e[1]*ep2[0]-.5000000000*e[1]*ep2[6]+e[7]*e[0]*e[6]+.5000000000*e[1]*ep2[7]+.5000000000*e[1]*ep2[4]-.5000000000*e[1]*ep2[8]+.5000000000*e[1]*ep2[2]-.5000000000*e[1]*ep2[3]+.5000000000*ep3[1]+e[7]*e[2]*e[8]-.5000000000*e[1]*ep2[5]+e[4]*e[0]*e[3];
A[188]=-.5000000000*e[17]*ep2[13]-.5000000000*e[17]*ep2[9]+.5000000000*e[17]*ep2[16]+.5000000000*e[17]*ep2[15]+.5000000000*ep3[17]-.5000000000*e[17]*ep2[10]+e[14]*e[13]*e[16]+e[14]*e[12]*e[15]+.5000000000*ep2[14]*e[17]+e[11]*e[10]*e[16]-.5000000000*e[17]*ep2[12]+.5000000000*ep2[11]*e[17]+e[11]*e[9]*e[15];
A[41]=e[4]*e[27]*e[30]+e[4]*e[29]*e[32]+e[4]*e[28]*e[31]+e[31]*e[27]*e[3]+e[31]*e[0]*e[30]+e[31]*e[29]*e[5]+e[31]*e[2]*e[32]+e[7]*e[27]*e[33]+e[7]*e[29]*e[35]+e[7]*e[28]*e[34]+e[28]*e[27]*e[0]+e[28]*e[29]*e[2]+e[34]*e[27]*e[6]+e[34]*e[0]*e[33]+e[34]*e[29]*e[8]+e[34]*e[2]*e[35]-1.*e[28]*e[32]*e[5]-1.*e[28]*e[33]*e[6]-1.*e[28]*e[30]*e[3]-1.*e[28]*e[35]*e[8]+.5000000000*e[1]*ep2[27]+.5000000000*e[1]*ep2[29]+1.500000000*e[1]*ep2[28]+.5000000000*e[1]*ep2[31]-.5000000000*e[1]*ep2[32]-.5000000000*e[1]*ep2[33]-.5000000000*e[1]*ep2[30]+.5000000000*e[1]*ep2[34]-.5000000000*e[1]*ep2[35];
A[187]=.5000000000*ep2[11]*e[35]+.5000000000*e[35]*ep2[16]-.5000000000*e[35]*ep2[9]-.5000000000*e[35]*ep2[12]+.5000000000*e[35]*ep2[15]+1.500000000*e[35]*ep2[17]-.5000000000*e[35]*ep2[10]+.5000000000*e[35]*ep2[14]-.5000000000*e[35]*ep2[13]+e[11]*e[27]*e[15]+e[11]*e[9]*e[33]+e[11]*e[29]*e[17]+e[11]*e[28]*e[16]+e[11]*e[10]*e[34]+e[29]*e[9]*e[15]+e[29]*e[10]*e[16]+e[14]*e[30]*e[15]+e[14]*e[12]*e[33]+e[14]*e[32]*e[17]+e[14]*e[31]*e[16]+e[14]*e[13]*e[34]+e[32]*e[12]*e[15]+e[32]*e[13]*e[16]+e[17]*e[33]*e[15]+e[17]*e[34]*e[16]-1.*e[17]*e[27]*e[9]-1.*e[17]*e[30]*e[12]-1.*e[17]*e[28]*e[10]-1.*e[17]*e[31]*e[13];
A[40]=e[34]*e[27]*e[33]+e[34]*e[29]*e[35]-.5000000000*e[28]*ep2[30]-.5000000000*e[28]*ep2[35]+.5000000000*ep3[28]+.5000000000*e[28]*ep2[27]+.5000000000*e[28]*ep2[29]+e[31]*e[27]*e[30]+e[31]*e[29]*e[32]-.5000000000*e[28]*ep2[32]-.5000000000*e[28]*ep2[33]+.5000000000*e[28]*ep2[31]+.5000000000*e[28]*ep2[34];
A[186]=.5000000000*ep2[5]*e[8]+e[2]*e[0]*e[6]+.5000000000*ep2[2]*e[8]+.5000000000*ep3[8]-.5000000000*e[8]*ep2[0]+e[5]*e[4]*e[7]+e[5]*e[3]*e[6]+.5000000000*e[8]*ep2[7]+e[2]*e[1]*e[7]-.5000000000*e[8]*ep2[1]-.5000000000*e[8]*ep2[4]-.5000000000*e[8]*ep2[3]+.5000000000*e[8]*ep2[6];
A[43]=e[28]*e[27]*e[9]+e[28]*e[29]*e[11]-1.*e[28]*e[30]*e[12]+e[28]*e[31]*e[13]-1.*e[28]*e[32]*e[14]-1.*e[28]*e[33]*e[15]-1.*e[28]*e[35]*e[17]+e[31]*e[27]*e[12]+e[31]*e[9]*e[30]+e[31]*e[29]*e[14]+e[31]*e[11]*e[32]+e[13]*e[27]*e[30]+e[13]*e[29]*e[32]+e[16]*e[27]*e[33]+e[16]*e[29]*e[35]+e[34]*e[27]*e[15]+e[34]*e[9]*e[33]+e[34]*e[29]*e[17]+e[34]*e[11]*e[35]+e[34]*e[28]*e[16]+.5000000000*e[10]*ep2[27]+.5000000000*e[10]*ep2[29]+1.500000000*e[10]*ep2[28]-.5000000000*e[10]*ep2[32]+.5000000000*e[10]*ep2[31]-.5000000000*e[10]*ep2[33]-.5000000000*e[10]*ep2[30]+.5000000000*e[10]*ep2[34]-.5000000000*e[10]*ep2[35];
A[185]=-.5000000000*e[35]*ep2[1]+.5000000000*e[35]*ep2[7]-.5000000000*e[35]*ep2[3]+.5000000000*ep2[2]*e[35]+1.500000000*e[35]*ep2[8]-.5000000000*e[35]*ep2[4]-.5000000000*e[35]*ep2[0]+.5000000000*e[35]*ep2[6]+.5000000000*e[35]*ep2[5]+e[2]*e[27]*e[6]+e[2]*e[0]*e[33]+e[2]*e[28]*e[7]+e[2]*e[1]*e[34]+e[2]*e[29]*e[8]-1.*e[8]*e[27]*e[0]+e[8]*e[34]*e[7]+e[8]*e[32]*e[5]+e[8]*e[33]*e[6]-1.*e[8]*e[30]*e[3]-1.*e[8]*e[28]*e[1]-1.*e[8]*e[31]*e[4]+e[29]*e[1]*e[7]+e[29]*e[0]*e[6]+e[5]*e[30]*e[6]+e[5]*e[3]*e[33]+e[5]*e[31]*e[7]+e[5]*e[4]*e[34]+e[32]*e[4]*e[7]+e[32]*e[3]*e[6];
A[42]=e[28]*e[27]*e[18]+e[28]*e[29]*e[20]+e[22]*e[27]*e[30]+e[22]*e[29]*e[32]+e[22]*e[28]*e[31]+e[31]*e[27]*e[21]+e[31]*e[18]*e[30]+e[31]*e[29]*e[23]+e[31]*e[20]*e[32]+e[25]*e[27]*e[33]+e[25]*e[29]*e[35]+e[25]*e[28]*e[34]+e[34]*e[27]*e[24]+e[34]*e[18]*e[33]+e[34]*e[29]*e[26]+e[34]*e[20]*e[35]-1.*e[28]*e[33]*e[24]-1.*e[28]*e[30]*e[21]-1.*e[28]*e[35]*e[26]-1.*e[28]*e[32]*e[23]-.5000000000*e[19]*ep2[33]-.5000000000*e[19]*ep2[30]-.5000000000*e[19]*ep2[35]+.5000000000*e[19]*ep2[27]+.5000000000*e[19]*ep2[29]+1.500000000*e[19]*ep2[28]+.5000000000*e[19]*ep2[31]+.5000000000*e[19]*ep2[34]-.5000000000*e[19]*ep2[32];
A[184]=e[23]*e[3]*e[15]-1.*e[17]*e[19]*e[1]-1.*e[17]*e[22]*e[4]-1.*e[17]*e[18]*e[0]+e[17]*e[25]*e[7]+e[17]*e[24]*e[6]+e[14]*e[21]*e[6]+e[14]*e[3]*e[24]+e[14]*e[22]*e[7]+e[14]*e[4]*e[25]+e[14]*e[23]*e[8]-1.*e[26]*e[10]*e[1]-1.*e[26]*e[13]*e[4]+e[26]*e[16]*e[7]+e[26]*e[15]*e[6]-1.*e[26]*e[9]*e[0]-1.*e[26]*e[12]*e[3]+e[23]*e[12]*e[6]+e[11]*e[18]*e[6]+e[11]*e[0]*e[24]+e[11]*e[19]*e[7]+e[11]*e[1]*e[25]+e[11]*e[20]*e[8]+e[11]*e[2]*e[26]+e[20]*e[9]*e[6]+e[20]*e[0]*e[15]+e[20]*e[10]*e[7]+e[20]*e[1]*e[16]+e[20]*e[2]*e[17]+e[5]*e[21]*e[15]+e[5]*e[12]*e[24]+e[5]*e[23]*e[17]+e[5]*e[14]*e[26]+e[5]*e[22]*e[16]+e[5]*e[13]*e[25]+e[8]*e[24]*e[15]+3.*e[8]*e[26]*e[17]+e[8]*e[25]*e[16]+e[2]*e[18]*e[15]+e[2]*e[9]*e[24]+e[2]*e[19]*e[16]+e[2]*e[10]*e[25]-1.*e[17]*e[21]*e[3]+e[23]*e[4]*e[16]+e[23]*e[13]*e[7]-1.*e[8]*e[18]*e[9]-1.*e[8]*e[21]*e[12]-1.*e[8]*e[19]*e[10]-1.*e[8]*e[22]*e[13];
A[54]=e[13]*e[18]*e[12]+e[13]*e[9]*e[21]+e[13]*e[20]*e[14]+e[13]*e[11]*e[23]+e[13]*e[10]*e[22]+e[22]*e[11]*e[14]+e[22]*e[9]*e[12]+e[16]*e[18]*e[15]+e[16]*e[9]*e[24]+e[16]*e[20]*e[17]+e[16]*e[11]*e[26]+e[16]*e[10]*e[25]+e[25]*e[11]*e[17]+e[25]*e[9]*e[15]-1.*e[10]*e[23]*e[14]-1.*e[10]*e[24]*e[15]-1.*e[10]*e[26]*e[17]+e[10]*e[20]*e[11]+e[10]*e[18]*e[9]-1.*e[10]*e[21]*e[12]+.5000000000*e[19]*ep2[11]+.5000000000*e[19]*ep2[9]+1.500000000*e[19]*ep2[10]+.5000000000*e[19]*ep2[13]+.5000000000*e[19]*ep2[16]-.5000000000*e[19]*ep2[12]-.5000000000*e[19]*ep2[15]-.5000000000*e[19]*ep2[17]-.5000000000*e[19]*ep2[14];
A[164]=e[10]*e[18]*e[6]+e[10]*e[0]*e[24]+e[10]*e[19]*e[7]+e[10]*e[1]*e[25]+e[10]*e[20]*e[8]+e[10]*e[2]*e[26]+e[19]*e[9]*e[6]+e[19]*e[0]*e[15]+e[19]*e[1]*e[16]+e[19]*e[11]*e[8]+e[19]*e[2]*e[17]+e[4]*e[21]*e[15]+e[4]*e[12]*e[24]+e[4]*e[23]*e[17]+e[4]*e[14]*e[26]+e[4]*e[22]*e[16]+e[4]*e[13]*e[25]+e[7]*e[24]*e[15]+e[7]*e[26]*e[17]+3.*e[7]*e[25]*e[16]+e[1]*e[18]*e[15]+e[1]*e[9]*e[24]+e[1]*e[20]*e[17]+e[1]*e[11]*e[26]-1.*e[16]*e[21]*e[3]+e[16]*e[26]*e[8]-1.*e[16]*e[20]*e[2]-1.*e[16]*e[18]*e[0]-1.*e[16]*e[23]*e[5]+e[16]*e[24]*e[6]+e[13]*e[21]*e[6]+e[13]*e[3]*e[24]+e[13]*e[22]*e[7]+e[13]*e[23]*e[8]+e[13]*e[5]*e[26]-1.*e[25]*e[11]*e[2]+e[25]*e[15]*e[6]-1.*e[25]*e[9]*e[0]-1.*e[25]*e[14]*e[5]-1.*e[25]*e[12]*e[3]+e[25]*e[17]*e[8]+e[22]*e[12]*e[6]+e[22]*e[3]*e[15]+e[22]*e[14]*e[8]+e[22]*e[5]*e[17]-1.*e[7]*e[23]*e[14]-1.*e[7]*e[20]*e[11]-1.*e[7]*e[18]*e[9]-1.*e[7]*e[21]*e[12];
A[55]=e[13]*e[9]*e[3]+e[13]*e[0]*e[12]+e[13]*e[10]*e[4]+e[13]*e[11]*e[5]+e[13]*e[2]*e[14]+e[16]*e[9]*e[6]+e[16]*e[0]*e[15]+e[16]*e[10]*e[7]+e[16]*e[11]*e[8]+e[16]*e[2]*e[17]+e[7]*e[11]*e[17]+e[7]*e[9]*e[15]+e[4]*e[11]*e[14]+e[4]*e[9]*e[12]+e[10]*e[9]*e[0]+e[10]*e[11]*e[2]-1.*e[10]*e[15]*e[6]-1.*e[10]*e[14]*e[5]-1.*e[10]*e[12]*e[3]-1.*e[10]*e[17]*e[8]+.5000000000*e[1]*ep2[11]+.5000000000*e[1]*ep2[9]+1.500000000*e[1]*ep2[10]-.5000000000*e[1]*ep2[12]-.5000000000*e[1]*ep2[15]-.5000000000*e[1]*ep2[17]-.5000000000*e[1]*ep2[14]+.5000000000*e[1]*ep2[13]+.5000000000*e[1]*ep2[16];
A[165]=e[1]*e[27]*e[6]+e[1]*e[0]*e[33]+e[1]*e[28]*e[7]+e[1]*e[29]*e[8]+e[1]*e[2]*e[35]-1.*e[7]*e[27]*e[0]-1.*e[7]*e[32]*e[5]+e[7]*e[33]*e[6]-1.*e[7]*e[30]*e[3]+e[7]*e[35]*e[8]-1.*e[7]*e[29]*e[2]+e[7]*e[31]*e[4]+e[28]*e[0]*e[6]+e[28]*e[2]*e[8]+e[4]*e[30]*e[6]+e[4]*e[3]*e[33]+e[4]*e[32]*e[8]+e[4]*e[5]*e[35]+e[31]*e[3]*e[6]+e[31]*e[5]*e[8]+.5000000000*ep2[1]*e[34]+1.500000000*e[34]*ep2[7]+.5000000000*e[34]*ep2[4]-.5000000000*e[34]*ep2[0]+.5000000000*e[34]*ep2[6]-.5000000000*e[34]*ep2[5]-.5000000000*e[34]*ep2[3]-.5000000000*e[34]*ep2[2]+.5000000000*e[34]*ep2[8];
A[52]=e[4]*e[18]*e[3]+e[4]*e[0]*e[21]+e[4]*e[1]*e[22]+e[4]*e[20]*e[5]+e[4]*e[2]*e[23]+e[22]*e[0]*e[3]+e[22]*e[2]*e[5]+e[7]*e[18]*e[6]+e[7]*e[0]*e[24]+e[7]*e[1]*e[25]+e[7]*e[20]*e[8]+e[7]*e[2]*e[26]+e[25]*e[0]*e[6]+e[25]*e[2]*e[8]+e[1]*e[18]*e[0]+e[1]*e[20]*e[2]-1.*e[1]*e[21]*e[3]-1.*e[1]*e[26]*e[8]-1.*e[1]*e[23]*e[5]-1.*e[1]*e[24]*e[6]+.5000000000*e[19]*ep2[4]+.5000000000*e[19]*ep2[0]-.5000000000*e[19]*ep2[6]-.5000000000*e[19]*ep2[5]+1.500000000*e[19]*ep2[1]+.5000000000*e[19]*ep2[7]-.5000000000*e[19]*ep2[3]+.5000000000*e[19]*ep2[2]-.5000000000*e[19]*ep2[8];
A[166]=-.5000000000*e[7]*ep2[0]+e[4]*e[5]*e[8]+.5000000000*ep2[4]*e[7]-.5000000000*e[7]*ep2[2]+.5000000000*e[7]*ep2[8]-.5000000000*e[7]*ep2[5]+.5000000000*e[7]*ep2[6]+e[1]*e[0]*e[6]+.5000000000*ep3[7]+e[4]*e[3]*e[6]+e[1]*e[2]*e[8]-.5000000000*e[7]*ep2[3]+.5000000000*ep2[1]*e[7];
A[53]=-1.*e[1]*e[32]*e[23]-1.*e[19]*e[32]*e[5]-1.*e[19]*e[33]*e[6]-1.*e[19]*e[30]*e[3]-1.*e[19]*e[35]*e[8]-1.*e[28]*e[21]*e[3]-1.*e[28]*e[26]*e[8]-1.*e[28]*e[23]*e[5]-1.*e[28]*e[24]*e[6]+e[7]*e[27]*e[24]+e[7]*e[18]*e[33]+e[7]*e[29]*e[26]+e[7]*e[20]*e[35]+e[22]*e[27]*e[3]+e[22]*e[0]*e[30]+e[22]*e[29]*e[5]+e[22]*e[2]*e[32]+e[31]*e[18]*e[3]+e[31]*e[0]*e[21]+e[31]*e[20]*e[5]+e[31]*e[2]*e[23]+e[25]*e[27]*e[6]+e[25]*e[0]*e[33]+e[25]*e[28]*e[7]+e[25]*e[1]*e[34]+e[25]*e[29]*e[8]+e[25]*e[2]*e[35]+e[34]*e[18]*e[6]+e[34]*e[0]*e[24]+e[34]*e[19]*e[7]+e[34]*e[20]*e[8]+e[34]*e[2]*e[26]+e[1]*e[27]*e[18]+3.*e[1]*e[28]*e[19]+e[1]*e[29]*e[20]+e[19]*e[27]*e[0]+e[19]*e[29]*e[2]+e[28]*e[18]*e[0]+e[28]*e[20]*e[2]+e[4]*e[27]*e[21]+e[4]*e[18]*e[30]+e[4]*e[28]*e[22]+e[4]*e[19]*e[31]+e[4]*e[29]*e[23]+e[4]*e[20]*e[32]-1.*e[1]*e[33]*e[24]-1.*e[1]*e[30]*e[21]-1.*e[1]*e[35]*e[26]+e[1]*e[31]*e[22];
A[167]=e[10]*e[27]*e[15]+e[10]*e[9]*e[33]+e[10]*e[29]*e[17]+e[10]*e[11]*e[35]+e[10]*e[28]*e[16]+e[28]*e[11]*e[17]+e[28]*e[9]*e[15]+e[13]*e[30]*e[15]+e[13]*e[12]*e[33]+e[13]*e[32]*e[17]+e[13]*e[14]*e[35]+e[13]*e[31]*e[16]+e[31]*e[14]*e[17]+e[31]*e[12]*e[15]+e[16]*e[33]*e[15]+e[16]*e[35]*e[17]-1.*e[16]*e[27]*e[9]-1.*e[16]*e[30]*e[12]-1.*e[16]*e[32]*e[14]-1.*e[16]*e[29]*e[11]+.5000000000*ep2[10]*e[34]+1.500000000*e[34]*ep2[16]-.5000000000*e[34]*ep2[9]-.5000000000*e[34]*ep2[11]-.5000000000*e[34]*ep2[12]+.5000000000*e[34]*ep2[15]+.5000000000*e[34]*ep2[17]-.5000000000*e[34]*ep2[14]+.5000000000*e[34]*ep2[13];
A[50]=.5000000000*e[19]*ep2[18]+.5000000000*e[19]*ep2[25]+.5000000000*e[19]*ep2[22]+e[25]*e[20]*e[26]-.5000000000*e[19]*ep2[21]+.5000000000*e[19]*ep2[20]-.5000000000*e[19]*ep2[26]-.5000000000*e[19]*ep2[23]-.5000000000*e[19]*ep2[24]+.5000000000*ep3[19]+e[22]*e[20]*e[23]+e[25]*e[18]*e[24]+e[22]*e[18]*e[21];
A[160]=.5000000000*e[34]*ep2[33]+.5000000000*e[34]*ep2[35]-.5000000000*e[34]*ep2[27]-.5000000000*e[34]*ep2[32]-.5000000000*e[34]*ep2[29]-.5000000000*e[34]*ep2[30]+.5000000000*ep2[28]*e[34]+e[31]*e[30]*e[33]+e[31]*e[32]*e[35]+e[28]*e[27]*e[33]+.5000000000*ep3[34]+e[28]*e[29]*e[35]+.5000000000*ep2[31]*e[34];
A[51]=e[4]*e[28]*e[13]+e[4]*e[10]*e[31]+e[7]*e[27]*e[15]+e[7]*e[9]*e[33]+e[7]*e[29]*e[17]+e[7]*e[11]*e[35]+e[7]*e[28]*e[16]+e[7]*e[10]*e[34]+e[1]*e[27]*e[9]+e[1]*e[29]*e[11]+3.*e[1]*e[28]*e[10]+e[10]*e[27]*e[0]-1.*e[10]*e[32]*e[5]-1.*e[10]*e[33]*e[6]-1.*e[10]*e[30]*e[3]-1.*e[10]*e[35]*e[8]+e[10]*e[29]*e[2]+e[13]*e[27]*e[3]+e[13]*e[0]*e[30]+e[13]*e[1]*e[31]+e[13]*e[29]*e[5]+e[13]*e[2]*e[32]+e[28]*e[11]*e[2]-1.*e[28]*e[15]*e[6]+e[28]*e[9]*e[0]-1.*e[28]*e[14]*e[5]-1.*e[28]*e[12]*e[3]-1.*e[28]*e[17]*e[8]+e[31]*e[9]*e[3]+e[31]*e[0]*e[12]+e[31]*e[11]*e[5]+e[31]*e[2]*e[14]+e[16]*e[27]*e[6]+e[16]*e[0]*e[33]+e[16]*e[1]*e[34]+e[16]*e[29]*e[8]+e[16]*e[2]*e[35]-1.*e[1]*e[30]*e[12]-1.*e[1]*e[32]*e[14]-1.*e[1]*e[33]*e[15]-1.*e[1]*e[35]*e[17]+e[34]*e[9]*e[6]+e[34]*e[0]*e[15]+e[34]*e[11]*e[8]+e[34]*e[2]*e[17]+e[4]*e[27]*e[12]+e[4]*e[9]*e[30]+e[4]*e[29]*e[14]+e[4]*e[11]*e[32];
A[161]=e[4]*e[30]*e[33]+e[4]*e[32]*e[35]+e[4]*e[31]*e[34]+e[31]*e[30]*e[6]+e[31]*e[3]*e[33]+e[31]*e[32]*e[8]+e[31]*e[5]*e[35]+e[28]*e[27]*e[6]+e[28]*e[0]*e[33]+e[28]*e[29]*e[8]+e[28]*e[2]*e[35]+e[34]*e[33]*e[6]+e[34]*e[35]*e[8]-1.*e[34]*e[27]*e[0]-1.*e[34]*e[32]*e[5]-1.*e[34]*e[30]*e[3]-1.*e[34]*e[29]*e[2]+e[1]*e[27]*e[33]+e[1]*e[29]*e[35]+e[1]*e[28]*e[34]+.5000000000*ep2[31]*e[7]-.5000000000*e[7]*ep2[27]-.5000000000*e[7]*ep2[32]+.5000000000*e[7]*ep2[28]-.5000000000*e[7]*ep2[29]+.5000000000*e[7]*ep2[33]-.5000000000*e[7]*ep2[30]+1.500000000*e[7]*ep2[34]+.5000000000*e[7]*ep2[35];
A[48]=-.5000000000*e[10]*ep2[14]-.5000000000*e[10]*ep2[17]-.5000000000*e[10]*ep2[15]+e[13]*e[11]*e[14]+e[16]*e[11]*e[17]+.5000000000*e[10]*ep2[13]+e[13]*e[9]*e[12]-.5000000000*e[10]*ep2[12]+.5000000000*ep3[10]+e[16]*e[9]*e[15]+.5000000000*e[10]*ep2[16]+.5000000000*e[10]*ep2[11]+.5000000000*e[10]*ep2[9];
A[162]=e[22]*e[32]*e[35]+e[22]*e[31]*e[34]+e[31]*e[30]*e[24]+e[31]*e[21]*e[33]+e[31]*e[32]*e[26]+e[31]*e[23]*e[35]+e[34]*e[33]*e[24]+e[34]*e[35]*e[26]-1.*e[34]*e[27]*e[18]-1.*e[34]*e[30]*e[21]-1.*e[34]*e[29]*e[20]-1.*e[34]*e[32]*e[23]+e[19]*e[27]*e[33]+e[19]*e[29]*e[35]+e[19]*e[28]*e[34]+e[28]*e[27]*e[24]+e[28]*e[18]*e[33]+e[28]*e[29]*e[26]+e[28]*e[20]*e[35]+e[22]*e[30]*e[33]+.5000000000*ep2[28]*e[25]+.5000000000*ep2[31]*e[25]+.5000000000*e[25]*ep2[33]+.5000000000*e[25]*ep2[35]+1.500000000*e[25]*ep2[34]-.5000000000*e[25]*ep2[27]-.5000000000*e[25]*ep2[32]-.5000000000*e[25]*ep2[29]-.5000000000*e[25]*ep2[30];
A[49]=-1.*e[19]*e[35]*e[26]-1.*e[19]*e[32]*e[23]+e[19]*e[27]*e[18]+e[19]*e[29]*e[20]+e[22]*e[27]*e[21]+e[22]*e[18]*e[30]+e[22]*e[19]*e[31]+e[22]*e[29]*e[23]+e[22]*e[20]*e[32]+e[31]*e[18]*e[21]+e[31]*e[20]*e[23]+e[25]*e[27]*e[24]+e[25]*e[18]*e[33]+e[25]*e[19]*e[34]+e[25]*e[29]*e[26]+e[25]*e[20]*e[35]+e[34]*e[18]*e[24]+e[34]*e[20]*e[26]-1.*e[19]*e[33]*e[24]-1.*e[19]*e[30]*e[21]+1.500000000*e[28]*ep2[19]+.5000000000*e[28]*ep2[18]+.5000000000*e[28]*ep2[20]+.5000000000*e[28]*ep2[22]+.5000000000*e[28]*ep2[25]-.5000000000*e[28]*ep2[26]-.5000000000*e[28]*ep2[23]-.5000000000*e[28]*ep2[24]-.5000000000*e[28]*ep2[21];
A[163]=e[10]*e[27]*e[33]+e[10]*e[29]*e[35]+e[10]*e[28]*e[34]+e[34]*e[33]*e[15]+e[34]*e[35]*e[17]+e[28]*e[27]*e[15]+e[28]*e[9]*e[33]+e[28]*e[29]*e[17]+e[28]*e[11]*e[35]-1.*e[34]*e[27]*e[9]-1.*e[34]*e[30]*e[12]+e[34]*e[31]*e[13]-1.*e[34]*e[32]*e[14]-1.*e[34]*e[29]*e[11]+e[31]*e[30]*e[15]+e[31]*e[12]*e[33]+e[31]*e[32]*e[17]+e[31]*e[14]*e[35]+e[13]*e[30]*e[33]+e[13]*e[32]*e[35]-.5000000000*e[16]*ep2[27]-.5000000000*e[16]*ep2[32]+.5000000000*e[16]*ep2[28]-.5000000000*e[16]*ep2[29]+.5000000000*e[16]*ep2[31]+.5000000000*e[16]*ep2[33]-.5000000000*e[16]*ep2[30]+1.500000000*e[16]*ep2[34]+.5000000000*e[16]*ep2[35];
A[63]=e[29]*e[32]*e[14]-1.*e[29]*e[33]*e[15]-1.*e[29]*e[34]*e[16]+e[32]*e[27]*e[12]+e[32]*e[9]*e[30]+e[32]*e[28]*e[13]+e[32]*e[10]*e[31]+e[14]*e[27]*e[30]+e[14]*e[28]*e[31]+e[17]*e[27]*e[33]+e[17]*e[28]*e[34]+e[35]*e[27]*e[15]+e[35]*e[9]*e[33]+e[35]*e[29]*e[17]+e[35]*e[28]*e[16]+e[35]*e[10]*e[34]+e[29]*e[27]*e[9]+e[29]*e[28]*e[10]-1.*e[29]*e[30]*e[12]-1.*e[29]*e[31]*e[13]+.5000000000*e[11]*ep2[27]+1.500000000*e[11]*ep2[29]+.5000000000*e[11]*ep2[28]+.5000000000*e[11]*ep2[32]-.5000000000*e[11]*ep2[31]-.5000000000*e[11]*ep2[33]-.5000000000*e[11]*ep2[30]-.5000000000*e[11]*ep2[34]+.5000000000*e[11]*ep2[35];
A[173]=e[1]*e[20]*e[35]+e[19]*e[27]*e[6]+e[19]*e[0]*e[33]+e[19]*e[28]*e[7]+e[19]*e[29]*e[8]+e[19]*e[2]*e[35]+e[28]*e[18]*e[6]+e[28]*e[0]*e[24]+e[28]*e[20]*e[8]+e[28]*e[2]*e[26]+e[4]*e[30]*e[24]+e[4]*e[21]*e[33]+e[4]*e[31]*e[25]+e[4]*e[22]*e[34]+e[4]*e[32]*e[26]+e[4]*e[23]*e[35]-1.*e[7]*e[27]*e[18]+e[7]*e[33]*e[24]-1.*e[7]*e[30]*e[21]-1.*e[7]*e[29]*e[20]+e[7]*e[35]*e[26]+e[7]*e[31]*e[22]-1.*e[7]*e[32]*e[23]-1.*e[25]*e[27]*e[0]-1.*e[25]*e[32]*e[5]-1.*e[25]*e[30]*e[3]-1.*e[25]*e[29]*e[2]-1.*e[34]*e[21]*e[3]-1.*e[34]*e[20]*e[2]-1.*e[34]*e[18]*e[0]-1.*e[34]*e[23]*e[5]+e[22]*e[30]*e[6]+e[22]*e[3]*e[33]+e[22]*e[32]*e[8]+e[22]*e[5]*e[35]+e[31]*e[21]*e[6]+e[31]*e[3]*e[24]+e[31]*e[23]*e[8]+e[31]*e[5]*e[26]+e[34]*e[26]*e[8]+e[1]*e[27]*e[24]+e[1]*e[18]*e[33]+e[1]*e[28]*e[25]+e[1]*e[19]*e[34]+e[1]*e[29]*e[26]+e[34]*e[24]*e[6]+e[25]*e[33]*e[6]+3.*e[25]*e[34]*e[7]+e[25]*e[35]*e[8];
A[62]=.5000000000*e[20]*ep2[27]+1.500000000*e[20]*ep2[29]+.5000000000*e[20]*ep2[28]+.5000000000*e[20]*ep2[32]+.5000000000*e[20]*ep2[35]-.5000000000*e[20]*ep2[31]-.5000000000*e[20]*ep2[33]-.5000000000*e[20]*ep2[30]-.5000000000*e[20]*ep2[34]+e[29]*e[27]*e[18]+e[29]*e[28]*e[19]+e[23]*e[27]*e[30]+e[23]*e[29]*e[32]+e[23]*e[28]*e[31]+e[32]*e[27]*e[21]+e[32]*e[18]*e[30]+e[32]*e[28]*e[22]+e[32]*e[19]*e[31]+e[26]*e[27]*e[33]+e[26]*e[29]*e[35]+e[26]*e[28]*e[34]+e[35]*e[27]*e[24]+e[35]*e[18]*e[33]+e[35]*e[28]*e[25]+e[35]*e[19]*e[34]-1.*e[29]*e[33]*e[24]-1.*e[29]*e[30]*e[21]-1.*e[29]*e[31]*e[22]-1.*e[29]*e[34]*e[25];
A[172]=e[19]*e[1]*e[7]+e[19]*e[0]*e[6]+e[19]*e[2]*e[8]+e[4]*e[21]*e[6]+e[4]*e[3]*e[24]+e[4]*e[22]*e[7]+e[4]*e[23]*e[8]+e[4]*e[5]*e[26]+e[22]*e[3]*e[6]+e[22]*e[5]*e[8]+e[7]*e[24]*e[6]+e[7]*e[26]*e[8]+e[1]*e[18]*e[6]+e[1]*e[0]*e[24]+e[1]*e[20]*e[8]+e[1]*e[2]*e[26]-1.*e[7]*e[21]*e[3]-1.*e[7]*e[20]*e[2]-1.*e[7]*e[18]*e[0]-1.*e[7]*e[23]*e[5]+.5000000000*e[25]*ep2[4]-.5000000000*e[25]*ep2[0]+.5000000000*e[25]*ep2[6]-.5000000000*e[25]*ep2[5]+.5000000000*e[25]*ep2[1]+1.500000000*e[25]*ep2[7]-.5000000000*e[25]*ep2[3]-.5000000000*e[25]*ep2[2]+.5000000000*e[25]*ep2[8];
A[61]=e[5]*e[27]*e[30]+e[5]*e[29]*e[32]+e[5]*e[28]*e[31]+e[32]*e[27]*e[3]+e[32]*e[0]*e[30]+e[32]*e[28]*e[4]+e[32]*e[1]*e[31]+e[8]*e[27]*e[33]+e[8]*e[29]*e[35]+e[8]*e[28]*e[34]+e[29]*e[27]*e[0]+e[29]*e[28]*e[1]+e[35]*e[27]*e[6]+e[35]*e[0]*e[33]+e[35]*e[28]*e[7]+e[35]*e[1]*e[34]-1.*e[29]*e[34]*e[7]-1.*e[29]*e[33]*e[6]-1.*e[29]*e[30]*e[3]-1.*e[29]*e[31]*e[4]+.5000000000*e[2]*ep2[27]+1.500000000*e[2]*ep2[29]+.5000000000*e[2]*ep2[28]+.5000000000*e[2]*ep2[32]-.5000000000*e[2]*ep2[31]-.5000000000*e[2]*ep2[33]-.5000000000*e[2]*ep2[30]-.5000000000*e[2]*ep2[34]+.5000000000*e[2]*ep2[35];
A[175]=e[13]*e[12]*e[6]+e[13]*e[3]*e[15]+e[13]*e[4]*e[16]+e[13]*e[14]*e[8]+e[13]*e[5]*e[17]+e[16]*e[15]*e[6]+e[16]*e[17]*e[8]+e[1]*e[11]*e[17]+e[1]*e[9]*e[15]+e[1]*e[10]*e[16]+e[4]*e[14]*e[17]+e[4]*e[12]*e[15]+e[10]*e[9]*e[6]+e[10]*e[0]*e[15]+e[10]*e[11]*e[8]+e[10]*e[2]*e[17]-1.*e[16]*e[11]*e[2]-1.*e[16]*e[9]*e[0]-1.*e[16]*e[14]*e[5]-1.*e[16]*e[12]*e[3]+.5000000000*ep2[13]*e[7]+1.500000000*ep2[16]*e[7]+.5000000000*e[7]*ep2[17]+.5000000000*e[7]*ep2[15]-.5000000000*e[7]*ep2[9]-.5000000000*e[7]*ep2[11]-.5000000000*e[7]*ep2[12]+.5000000000*e[7]*ep2[10]-.5000000000*e[7]*ep2[14];
A[60]=.5000000000*e[29]*ep2[32]+.5000000000*e[29]*ep2[35]-.5000000000*e[29]*ep2[31]-.5000000000*e[29]*ep2[33]-.5000000000*e[29]*ep2[30]-.5000000000*e[29]*ep2[34]+e[32]*e[27]*e[30]+.5000000000*ep3[29]+.5000000000*e[29]*ep2[28]+e[35]*e[28]*e[34]+.5000000000*e[29]*ep2[27]+e[35]*e[27]*e[33]+e[32]*e[28]*e[31];
A[174]=-1.*e[16]*e[21]*e[12]+e[10]*e[18]*e[15]+e[10]*e[9]*e[24]+e[10]*e[20]*e[17]+e[10]*e[11]*e[26]+e[19]*e[11]*e[17]+e[19]*e[9]*e[15]+e[19]*e[10]*e[16]+e[13]*e[21]*e[15]+e[13]*e[12]*e[24]+e[13]*e[23]*e[17]+e[13]*e[14]*e[26]+e[13]*e[22]*e[16]+e[22]*e[14]*e[17]+e[22]*e[12]*e[15]+e[16]*e[24]*e[15]+e[16]*e[26]*e[17]-1.*e[16]*e[23]*e[14]-1.*e[16]*e[20]*e[11]-1.*e[16]*e[18]*e[9]+.5000000000*ep2[13]*e[25]+1.500000000*e[25]*ep2[16]+.5000000000*e[25]*ep2[17]+.5000000000*e[25]*ep2[15]+.5000000000*ep2[10]*e[25]-.5000000000*e[25]*ep2[9]-.5000000000*e[25]*ep2[11]-.5000000000*e[25]*ep2[12]-.5000000000*e[25]*ep2[14];
A[59]=e[19]*e[20]*e[2]+e[22]*e[18]*e[3]+e[22]*e[0]*e[21]+e[22]*e[19]*e[4]+e[22]*e[20]*e[5]+e[22]*e[2]*e[23]-1.*e[19]*e[21]*e[3]-1.*e[19]*e[26]*e[8]+e[19]*e[25]*e[7]-1.*e[19]*e[23]*e[5]-1.*e[19]*e[24]*e[6]+e[4]*e[18]*e[21]+e[4]*e[20]*e[23]+e[25]*e[18]*e[6]+e[25]*e[0]*e[24]+e[25]*e[20]*e[8]+e[25]*e[2]*e[26]+e[7]*e[18]*e[24]+e[7]*e[20]*e[26]+e[19]*e[18]*e[0]+1.500000000*ep2[19]*e[1]+.5000000000*e[1]*ep2[22]+.5000000000*e[1]*ep2[18]+.5000000000*e[1]*ep2[20]+.5000000000*e[1]*ep2[25]-.5000000000*e[1]*ep2[26]-.5000000000*e[1]*ep2[23]-.5000000000*e[1]*ep2[24]-.5000000000*e[1]*ep2[21];
A[169]=e[19]*e[27]*e[24]+e[19]*e[18]*e[33]+e[19]*e[28]*e[25]+e[19]*e[29]*e[26]+e[19]*e[20]*e[35]+e[28]*e[18]*e[24]+e[28]*e[20]*e[26]+e[22]*e[30]*e[24]+e[22]*e[21]*e[33]+e[22]*e[31]*e[25]+e[22]*e[32]*e[26]+e[22]*e[23]*e[35]+e[31]*e[21]*e[24]+e[31]*e[23]*e[26]+e[25]*e[33]*e[24]+e[25]*e[35]*e[26]-1.*e[25]*e[27]*e[18]-1.*e[25]*e[30]*e[21]-1.*e[25]*e[29]*e[20]-1.*e[25]*e[32]*e[23]-.5000000000*e[34]*ep2[18]-.5000000000*e[34]*ep2[23]-.5000000000*e[34]*ep2[20]-.5000000000*e[34]*ep2[21]+.5000000000*ep2[19]*e[34]+.5000000000*ep2[22]*e[34]+1.500000000*e[34]*ep2[25]+.5000000000*e[34]*ep2[24]+.5000000000*e[34]*ep2[26];
A[58]=e[16]*e[0]*e[6]+e[16]*e[2]*e[8]+e[1]*e[11]*e[2]-1.*e[1]*e[15]*e[6]+e[1]*e[9]*e[0]-1.*e[1]*e[14]*e[5]-1.*e[1]*e[12]*e[3]-1.*e[1]*e[17]*e[8]+e[4]*e[9]*e[3]+e[4]*e[0]*e[12]+e[4]*e[1]*e[13]+e[4]*e[11]*e[5]+e[4]*e[2]*e[14]+e[13]*e[0]*e[3]+e[13]*e[2]*e[5]+e[7]*e[9]*e[6]+e[7]*e[0]*e[15]+e[7]*e[1]*e[16]+e[7]*e[11]*e[8]+e[7]*e[2]*e[17]-.5000000000*e[10]*ep2[6]-.5000000000*e[10]*ep2[5]-.5000000000*e[10]*ep2[3]-.5000000000*e[10]*ep2[8]+1.500000000*e[10]*ep2[1]+.5000000000*e[10]*ep2[0]+.5000000000*e[10]*ep2[2]+.5000000000*e[10]*ep2[4]+.5000000000*e[10]*ep2[7];
A[168]=e[13]*e[14]*e[17]+e[13]*e[12]*e[15]+e[10]*e[9]*e[15]+.5000000000*e[16]*ep2[15]-.5000000000*e[16]*ep2[11]-.5000000000*e[16]*ep2[12]-.5000000000*e[16]*ep2[14]+e[10]*e[11]*e[17]+.5000000000*ep2[10]*e[16]+.5000000000*ep3[16]-.5000000000*e[16]*ep2[9]+.5000000000*e[16]*ep2[17]+.5000000000*ep2[13]*e[16];
A[57]=e[10]*e[29]*e[20]+e[22]*e[27]*e[12]+e[22]*e[9]*e[30]+e[22]*e[29]*e[14]+e[22]*e[11]*e[32]+e[22]*e[10]*e[31]+e[31]*e[18]*e[12]+e[31]*e[9]*e[21]+e[31]*e[20]*e[14]+e[31]*e[11]*e[23]-1.*e[10]*e[33]*e[24]-1.*e[10]*e[30]*e[21]-1.*e[10]*e[35]*e[26]-1.*e[10]*e[32]*e[23]+e[10]*e[34]*e[25]+e[19]*e[27]*e[9]+e[19]*e[29]*e[11]+e[28]*e[18]*e[9]+e[28]*e[20]*e[11]+e[16]*e[27]*e[24]+e[16]*e[18]*e[33]+e[16]*e[28]*e[25]+e[16]*e[19]*e[34]+e[16]*e[29]*e[26]+e[16]*e[20]*e[35]-1.*e[19]*e[30]*e[12]-1.*e[19]*e[32]*e[14]-1.*e[19]*e[33]*e[15]-1.*e[19]*e[35]*e[17]-1.*e[28]*e[23]*e[14]-1.*e[28]*e[24]*e[15]-1.*e[28]*e[26]*e[17]-1.*e[28]*e[21]*e[12]+e[25]*e[27]*e[15]+e[25]*e[9]*e[33]+e[25]*e[29]*e[17]+e[25]*e[11]*e[35]+e[34]*e[18]*e[15]+e[34]*e[9]*e[24]+e[34]*e[20]*e[17]+e[34]*e[11]*e[26]+e[13]*e[27]*e[21]+e[13]*e[18]*e[30]+e[13]*e[28]*e[22]+e[13]*e[19]*e[31]+e[13]*e[29]*e[23]+e[13]*e[20]*e[32]+e[10]*e[27]*e[18]+3.*e[10]*e[28]*e[19];
A[171]=e[4]*e[30]*e[15]+e[4]*e[12]*e[33]+e[4]*e[32]*e[17]+e[4]*e[14]*e[35]+e[4]*e[31]*e[16]+e[4]*e[13]*e[34]+e[7]*e[33]*e[15]+e[7]*e[35]*e[17]+3.*e[7]*e[34]*e[16]+e[1]*e[27]*e[15]+e[1]*e[9]*e[33]+e[1]*e[29]*e[17]+e[1]*e[11]*e[35]+e[1]*e[28]*e[16]+e[1]*e[10]*e[34]-1.*e[16]*e[27]*e[0]-1.*e[16]*e[32]*e[5]+e[16]*e[33]*e[6]-1.*e[16]*e[30]*e[3]+e[16]*e[35]*e[8]-1.*e[16]*e[29]*e[2]+e[13]*e[30]*e[6]+e[13]*e[3]*e[33]+e[13]*e[31]*e[7]+e[13]*e[32]*e[8]+e[13]*e[5]*e[35]-1.*e[34]*e[11]*e[2]+e[34]*e[15]*e[6]-1.*e[34]*e[9]*e[0]-1.*e[34]*e[14]*e[5]-1.*e[34]*e[12]*e[3]+e[34]*e[17]*e[8]+e[31]*e[12]*e[6]+e[31]*e[3]*e[15]+e[31]*e[14]*e[8]+e[31]*e[5]*e[17]-1.*e[7]*e[27]*e[9]-1.*e[7]*e[30]*e[12]+e[7]*e[28]*e[10]-1.*e[7]*e[32]*e[14]+e[10]*e[27]*e[6]+e[10]*e[0]*e[33]+e[10]*e[29]*e[8]+e[10]*e[2]*e[35]+e[28]*e[9]*e[6]+e[28]*e[0]*e[15]+e[28]*e[11]*e[8]+e[28]*e[2]*e[17]-1.*e[7]*e[29]*e[11];
A[56]=e[22]*e[18]*e[12]+e[22]*e[9]*e[21]+e[22]*e[20]*e[14]+e[22]*e[11]*e[23]+e[22]*e[19]*e[13]+e[25]*e[18]*e[15]+e[25]*e[9]*e[24]+e[25]*e[20]*e[17]+e[25]*e[11]*e[26]+e[25]*e[19]*e[16]+e[16]*e[18]*e[24]+e[16]*e[20]*e[26]+e[13]*e[18]*e[21]+e[13]*e[20]*e[23]+e[19]*e[18]*e[9]+e[19]*e[20]*e[11]-1.*e[19]*e[23]*e[14]-1.*e[19]*e[24]*e[15]-1.*e[19]*e[26]*e[17]-1.*e[19]*e[21]*e[12]+.5000000000*e[10]*ep2[22]+.5000000000*e[10]*ep2[25]+1.500000000*e[10]*ep2[19]+.5000000000*e[10]*ep2[18]+.5000000000*e[10]*ep2[20]-.5000000000*e[10]*ep2[26]-.5000000000*e[10]*ep2[23]-.5000000000*e[10]*ep2[24]-.5000000000*e[10]*ep2[21];
A[170]=e[19]*e[20]*e[26]-.5000000000*e[25]*ep2[20]+e[22]*e[21]*e[24]+e[19]*e[18]*e[24]+.5000000000*ep2[22]*e[25]-.5000000000*e[25]*ep2[21]-.5000000000*e[25]*ep2[23]+.5000000000*ep2[19]*e[25]-.5000000000*e[25]*ep2[18]+.5000000000*e[25]*ep2[24]+.5000000000*e[25]*ep2[26]+.5000000000*ep3[25]+e[22]*e[23]*e[26];
A[73]=-1.*e[20]*e[33]*e[6]-1.*e[20]*e[30]*e[3]-1.*e[20]*e[31]*e[4]-1.*e[29]*e[21]*e[3]-1.*e[29]*e[22]*e[4]-1.*e[29]*e[25]*e[7]-1.*e[29]*e[24]*e[6]+e[8]*e[27]*e[24]+e[8]*e[18]*e[33]+e[8]*e[28]*e[25]+e[8]*e[19]*e[34]+e[23]*e[27]*e[3]+e[23]*e[0]*e[30]+e[23]*e[28]*e[4]+e[23]*e[1]*e[31]+e[32]*e[18]*e[3]+e[32]*e[0]*e[21]+e[32]*e[19]*e[4]+e[32]*e[1]*e[22]+e[26]*e[27]*e[6]+e[26]*e[0]*e[33]+e[26]*e[28]*e[7]+e[26]*e[1]*e[34]+e[26]*e[29]*e[8]+e[26]*e[2]*e[35]+e[35]*e[18]*e[6]+e[35]*e[0]*e[24]+e[35]*e[19]*e[7]+e[35]*e[1]*e[25]+e[35]*e[20]*e[8]+e[2]*e[27]*e[18]+e[2]*e[28]*e[19]+3.*e[2]*e[29]*e[20]+e[20]*e[27]*e[0]+e[20]*e[28]*e[1]+e[29]*e[18]*e[0]+e[29]*e[19]*e[1]+e[5]*e[27]*e[21]+e[5]*e[18]*e[30]+e[5]*e[28]*e[22]+e[5]*e[19]*e[31]+e[5]*e[29]*e[23]+e[5]*e[20]*e[32]-1.*e[2]*e[33]*e[24]-1.*e[2]*e[30]*e[21]-1.*e[2]*e[31]*e[22]+e[2]*e[32]*e[23]-1.*e[2]*e[34]*e[25]-1.*e[20]*e[34]*e[7];
A[72]=e[5]*e[18]*e[3]+e[5]*e[0]*e[21]+e[5]*e[19]*e[4]+e[5]*e[1]*e[22]+e[5]*e[2]*e[23]+e[23]*e[1]*e[4]+e[23]*e[0]*e[3]+e[8]*e[18]*e[6]+e[8]*e[0]*e[24]+e[8]*e[19]*e[7]+e[8]*e[1]*e[25]+e[8]*e[2]*e[26]+e[26]*e[1]*e[7]+e[26]*e[0]*e[6]+e[2]*e[18]*e[0]+e[2]*e[19]*e[1]-1.*e[2]*e[21]*e[3]-1.*e[2]*e[22]*e[4]-1.*e[2]*e[25]*e[7]-1.*e[2]*e[24]*e[6]-.5000000000*e[20]*ep2[4]+.5000000000*e[20]*ep2[0]-.5000000000*e[20]*ep2[6]+.5000000000*e[20]*ep2[5]+.5000000000*e[20]*ep2[1]-.5000000000*e[20]*ep2[7]-.5000000000*e[20]*ep2[3]+1.500000000*e[20]*ep2[2]+.5000000000*e[20]*ep2[8];
A[75]=e[14]*e[9]*e[3]+e[14]*e[0]*e[12]+e[14]*e[10]*e[4]+e[14]*e[1]*e[13]+e[14]*e[11]*e[5]+e[17]*e[9]*e[6]+e[17]*e[0]*e[15]+e[17]*e[10]*e[7]+e[17]*e[1]*e[16]+e[17]*e[11]*e[8]+e[8]*e[9]*e[15]+e[8]*e[10]*e[16]+e[5]*e[9]*e[12]+e[5]*e[10]*e[13]+e[11]*e[9]*e[0]+e[11]*e[10]*e[1]-1.*e[11]*e[13]*e[4]-1.*e[11]*e[16]*e[7]-1.*e[11]*e[15]*e[6]-1.*e[11]*e[12]*e[3]+.5000000000*e[2]*ep2[14]+.5000000000*e[2]*ep2[17]+1.500000000*e[2]*ep2[11]+.5000000000*e[2]*ep2[9]+.5000000000*e[2]*ep2[10]-.5000000000*e[2]*ep2[16]-.5000000000*e[2]*ep2[12]-.5000000000*e[2]*ep2[15]-.5000000000*e[2]*ep2[13];
A[74]=e[14]*e[18]*e[12]+e[14]*e[9]*e[21]+e[14]*e[11]*e[23]+e[14]*e[19]*e[13]+e[14]*e[10]*e[22]+e[23]*e[9]*e[12]+e[23]*e[10]*e[13]+e[17]*e[18]*e[15]+e[17]*e[9]*e[24]+e[17]*e[11]*e[26]+e[17]*e[19]*e[16]+e[17]*e[10]*e[25]+e[26]*e[9]*e[15]+e[26]*e[10]*e[16]-1.*e[11]*e[24]*e[15]-1.*e[11]*e[25]*e[16]+e[11]*e[18]*e[9]-1.*e[11]*e[21]*e[12]+e[11]*e[19]*e[10]-1.*e[11]*e[22]*e[13]+1.500000000*e[20]*ep2[11]+.5000000000*e[20]*ep2[9]+.5000000000*e[20]*ep2[10]+.5000000000*e[20]*ep2[14]+.5000000000*e[20]*ep2[17]-.5000000000*e[20]*ep2[16]-.5000000000*e[20]*ep2[12]-.5000000000*e[20]*ep2[15]-.5000000000*e[20]*ep2[13];
A[77]=e[23]*e[10]*e[31]+e[32]*e[18]*e[12]+e[32]*e[9]*e[21]+e[32]*e[19]*e[13]+e[32]*e[10]*e[22]-1.*e[11]*e[33]*e[24]-1.*e[11]*e[30]*e[21]+e[11]*e[35]*e[26]-1.*e[11]*e[31]*e[22]-1.*e[11]*e[34]*e[25]+e[20]*e[27]*e[9]+e[20]*e[28]*e[10]+e[29]*e[18]*e[9]+e[29]*e[19]*e[10]+e[17]*e[27]*e[24]+e[17]*e[18]*e[33]+e[17]*e[28]*e[25]+e[17]*e[19]*e[34]+e[17]*e[29]*e[26]+e[17]*e[20]*e[35]-1.*e[20]*e[30]*e[12]-1.*e[20]*e[31]*e[13]-1.*e[20]*e[33]*e[15]-1.*e[20]*e[34]*e[16]-1.*e[29]*e[24]*e[15]-1.*e[29]*e[25]*e[16]-1.*e[29]*e[21]*e[12]-1.*e[29]*e[22]*e[13]+e[26]*e[27]*e[15]+e[26]*e[9]*e[33]+e[26]*e[28]*e[16]+e[26]*e[10]*e[34]+e[35]*e[18]*e[15]+e[35]*e[9]*e[24]+e[35]*e[19]*e[16]+e[35]*e[10]*e[25]+e[14]*e[27]*e[21]+e[14]*e[18]*e[30]+e[14]*e[28]*e[22]+e[14]*e[19]*e[31]+e[14]*e[29]*e[23]+e[14]*e[20]*e[32]+e[11]*e[27]*e[18]+e[11]*e[28]*e[19]+3.*e[11]*e[29]*e[20]+e[23]*e[27]*e[12]+e[23]*e[9]*e[30]+e[23]*e[11]*e[32]+e[23]*e[28]*e[13];
A[76]=e[23]*e[18]*e[12]+e[23]*e[9]*e[21]+e[23]*e[20]*e[14]+e[23]*e[19]*e[13]+e[23]*e[10]*e[22]+e[26]*e[18]*e[15]+e[26]*e[9]*e[24]+e[26]*e[20]*e[17]+e[26]*e[19]*e[16]+e[26]*e[10]*e[25]+e[17]*e[19]*e[25]+e[17]*e[18]*e[24]+e[14]*e[19]*e[22]+e[14]*e[18]*e[21]+e[20]*e[18]*e[9]+e[20]*e[19]*e[10]-1.*e[20]*e[24]*e[15]-1.*e[20]*e[25]*e[16]-1.*e[20]*e[21]*e[12]-1.*e[20]*e[22]*e[13]+.5000000000*e[11]*ep2[23]+.5000000000*e[11]*ep2[26]+.5000000000*e[11]*ep2[19]+.5000000000*e[11]*ep2[18]+1.500000000*e[11]*ep2[20]-.5000000000*e[11]*ep2[22]-.5000000000*e[11]*ep2[24]-.5000000000*e[11]*ep2[21]-.5000000000*e[11]*ep2[25];
A[79]=-1.*e[20]*e[21]*e[3]+e[20]*e[26]*e[8]-1.*e[20]*e[22]*e[4]-1.*e[20]*e[25]*e[7]-1.*e[20]*e[24]*e[6]+e[5]*e[19]*e[22]+e[5]*e[18]*e[21]+e[26]*e[18]*e[6]+e[26]*e[0]*e[24]+e[26]*e[19]*e[7]+e[26]*e[1]*e[25]+e[8]*e[19]*e[25]+e[8]*e[18]*e[24]+e[20]*e[18]*e[0]+e[20]*e[19]*e[1]+e[23]*e[18]*e[3]+e[23]*e[0]*e[21]+e[23]*e[19]*e[4]+e[23]*e[1]*e[22]+e[23]*e[20]*e[5]+1.500000000*ep2[20]*e[2]+.5000000000*e[2]*ep2[23]+.5000000000*e[2]*ep2[19]+.5000000000*e[2]*ep2[18]+.5000000000*e[2]*ep2[26]-.5000000000*e[2]*ep2[22]-.5000000000*e[2]*ep2[24]-.5000000000*e[2]*ep2[21]-.5000000000*e[2]*ep2[25];
A[78]=-1.*e[2]*e[15]*e[6]+e[2]*e[9]*e[0]-1.*e[2]*e[12]*e[3]+e[5]*e[9]*e[3]+e[5]*e[0]*e[12]+e[5]*e[10]*e[4]+e[5]*e[1]*e[13]+e[5]*e[2]*e[14]+e[14]*e[1]*e[4]+e[14]*e[0]*e[3]+e[8]*e[9]*e[6]+e[8]*e[0]*e[15]+e[8]*e[10]*e[7]+e[8]*e[1]*e[16]+e[8]*e[2]*e[17]+e[17]*e[1]*e[7]+e[17]*e[0]*e[6]+e[2]*e[10]*e[1]-1.*e[2]*e[13]*e[4]-1.*e[2]*e[16]*e[7]+.5000000000*e[11]*ep2[1]+.5000000000*e[11]*ep2[0]+1.500000000*e[11]*ep2[2]+.5000000000*e[11]*ep2[5]+.5000000000*e[11]*ep2[8]-.5000000000*e[11]*ep2[4]-.5000000000*e[11]*ep2[6]-.5000000000*e[11]*ep2[7]-.5000000000*e[11]*ep2[3];
A[64]=e[5]*e[19]*e[13]+e[5]*e[10]*e[22]+e[8]*e[18]*e[15]+e[8]*e[9]*e[24]+e[8]*e[20]*e[17]+e[8]*e[11]*e[26]+e[8]*e[19]*e[16]+e[8]*e[10]*e[25]+e[2]*e[18]*e[9]+e[2]*e[19]*e[10]-1.*e[11]*e[21]*e[3]-1.*e[11]*e[22]*e[4]-1.*e[11]*e[25]*e[7]-1.*e[11]*e[24]*e[6]+e[14]*e[18]*e[3]+e[14]*e[0]*e[21]+e[14]*e[19]*e[4]+e[14]*e[1]*e[22]+e[14]*e[2]*e[23]-1.*e[20]*e[13]*e[4]-1.*e[20]*e[16]*e[7]-1.*e[20]*e[15]*e[6]-1.*e[20]*e[12]*e[3]+e[23]*e[9]*e[3]+e[23]*e[0]*e[12]+e[23]*e[10]*e[4]+e[23]*e[1]*e[13]+e[17]*e[18]*e[6]+e[17]*e[0]*e[24]+e[17]*e[19]*e[7]+e[17]*e[1]*e[25]+e[17]*e[2]*e[26]-1.*e[2]*e[24]*e[15]-1.*e[2]*e[25]*e[16]-1.*e[2]*e[21]*e[12]-1.*e[2]*e[22]*e[13]+e[26]*e[9]*e[6]+e[26]*e[0]*e[15]+e[26]*e[10]*e[7]+e[26]*e[1]*e[16]+e[11]*e[18]*e[0]+e[11]*e[19]*e[1]+3.*e[11]*e[20]*e[2]+e[20]*e[9]*e[0]+e[20]*e[10]*e[1]+e[5]*e[18]*e[12]+e[5]*e[9]*e[21]+e[5]*e[20]*e[14]+e[5]*e[11]*e[23];
A[65]=e[32]*e[1]*e[4]+e[32]*e[0]*e[3]+e[8]*e[27]*e[6]+e[8]*e[0]*e[33]+e[8]*e[28]*e[7]+e[8]*e[1]*e[34]+e[35]*e[1]*e[7]+e[35]*e[0]*e[6]+e[2]*e[27]*e[0]+e[2]*e[28]*e[1]-1.*e[2]*e[34]*e[7]+e[2]*e[32]*e[5]-1.*e[2]*e[33]*e[6]-1.*e[2]*e[30]*e[3]+e[2]*e[35]*e[8]-1.*e[2]*e[31]*e[4]+e[5]*e[27]*e[3]+e[5]*e[0]*e[30]+e[5]*e[28]*e[4]+e[5]*e[1]*e[31]+1.500000000*e[29]*ep2[2]-.5000000000*e[29]*ep2[4]+.5000000000*e[29]*ep2[0]-.5000000000*e[29]*ep2[6]+.5000000000*e[29]*ep2[5]+.5000000000*e[29]*ep2[1]-.5000000000*e[29]*ep2[7]-.5000000000*e[29]*ep2[3]+.5000000000*e[29]*ep2[8];
A[66]=e[5]*e[0]*e[3]+e[8]*e[1]*e[7]+e[8]*e[0]*e[6]+e[5]*e[1]*e[4]-.5000000000*e[2]*ep2[4]+.5000000000*ep3[2]+.5000000000*e[2]*ep2[1]-.5000000000*e[2]*ep2[3]+.5000000000*e[2]*ep2[0]+.5000000000*e[2]*ep2[8]+.5000000000*e[2]*ep2[5]-.5000000000*e[2]*ep2[6]-.5000000000*e[2]*ep2[7];
A[67]=e[35]*e[9]*e[15]+e[35]*e[10]*e[16]-1.*e[11]*e[30]*e[12]-1.*e[11]*e[31]*e[13]-1.*e[11]*e[33]*e[15]-1.*e[11]*e[34]*e[16]+e[11]*e[27]*e[9]+e[11]*e[28]*e[10]+e[14]*e[27]*e[12]+e[14]*e[9]*e[30]+e[14]*e[11]*e[32]+e[14]*e[28]*e[13]+e[14]*e[10]*e[31]+e[32]*e[9]*e[12]+e[32]*e[10]*e[13]+e[17]*e[27]*e[15]+e[17]*e[9]*e[33]+e[17]*e[11]*e[35]+e[17]*e[28]*e[16]+e[17]*e[10]*e[34]+1.500000000*e[29]*ep2[11]-.5000000000*e[29]*ep2[16]+.5000000000*e[29]*ep2[9]-.5000000000*e[29]*ep2[12]-.5000000000*e[29]*ep2[15]+.5000000000*e[29]*ep2[17]+.5000000000*e[29]*ep2[10]+.5000000000*e[29]*ep2[14]-.5000000000*e[29]*ep2[13];
A[68]=e[14]*e[9]*e[12]+e[17]*e[10]*e[16]+e[17]*e[9]*e[15]+.5000000000*ep3[11]+e[14]*e[10]*e[13]+.5000000000*e[11]*ep2[10]-.5000000000*e[11]*ep2[15]+.5000000000*e[11]*ep2[14]-.5000000000*e[11]*ep2[13]-.5000000000*e[11]*ep2[12]+.5000000000*e[11]*ep2[9]-.5000000000*e[11]*ep2[16]+.5000000000*e[11]*ep2[17];
A[69]=e[20]*e[27]*e[18]+e[20]*e[28]*e[19]+e[23]*e[27]*e[21]+e[23]*e[18]*e[30]+e[23]*e[28]*e[22]+e[23]*e[19]*e[31]+e[23]*e[20]*e[32]+e[32]*e[19]*e[22]+e[32]*e[18]*e[21]+e[26]*e[27]*e[24]+e[26]*e[18]*e[33]+e[26]*e[28]*e[25]+e[26]*e[19]*e[34]+e[26]*e[20]*e[35]+e[35]*e[19]*e[25]+e[35]*e[18]*e[24]-1.*e[20]*e[33]*e[24]-1.*e[20]*e[30]*e[21]-1.*e[20]*e[31]*e[22]-1.*e[20]*e[34]*e[25]+.5000000000*e[29]*ep2[23]+.5000000000*e[29]*ep2[26]-.5000000000*e[29]*ep2[22]-.5000000000*e[29]*ep2[24]-.5000000000*e[29]*ep2[21]-.5000000000*e[29]*ep2[25]+1.500000000*e[29]*ep2[20]+.5000000000*e[29]*ep2[19]+.5000000000*e[29]*ep2[18];
A[70]=.5000000000*e[20]*ep2[26]+.5000000000*e[20]*ep2[18]+.5000000000*ep3[20]+.5000000000*e[20]*ep2[19]+e[26]*e[18]*e[24]+.5000000000*e[20]*ep2[23]-.5000000000*e[20]*ep2[25]+e[23]*e[19]*e[22]-.5000000000*e[20]*ep2[24]-.5000000000*e[20]*ep2[21]-.5000000000*e[20]*ep2[22]+e[23]*e[18]*e[21]+e[26]*e[19]*e[25];
A[71]=e[8]*e[28]*e[16]+e[8]*e[10]*e[34]+e[2]*e[27]*e[9]+3.*e[2]*e[29]*e[11]+e[2]*e[28]*e[10]+e[11]*e[27]*e[0]-1.*e[11]*e[34]*e[7]-1.*e[11]*e[33]*e[6]-1.*e[11]*e[30]*e[3]+e[11]*e[28]*e[1]-1.*e[11]*e[31]*e[4]+e[14]*e[27]*e[3]+e[14]*e[0]*e[30]+e[14]*e[28]*e[4]+e[14]*e[1]*e[31]+e[14]*e[2]*e[32]+e[29]*e[10]*e[1]-1.*e[29]*e[13]*e[4]-1.*e[29]*e[16]*e[7]-1.*e[29]*e[15]*e[6]+e[29]*e[9]*e[0]-1.*e[29]*e[12]*e[3]+e[32]*e[9]*e[3]+e[32]*e[0]*e[12]+e[32]*e[10]*e[4]+e[32]*e[1]*e[13]+e[17]*e[27]*e[6]+e[17]*e[0]*e[33]+e[17]*e[28]*e[7]+e[17]*e[1]*e[34]+e[17]*e[2]*e[35]-1.*e[2]*e[30]*e[12]-1.*e[2]*e[31]*e[13]-1.*e[2]*e[33]*e[15]-1.*e[2]*e[34]*e[16]+e[35]*e[9]*e[6]+e[35]*e[0]*e[15]+e[35]*e[10]*e[7]+e[35]*e[1]*e[16]+e[5]*e[27]*e[12]+e[5]*e[9]*e[30]+e[5]*e[29]*e[14]+e[5]*e[11]*e[32]+e[5]*e[28]*e[13]+e[5]*e[10]*e[31]+e[8]*e[27]*e[15]+e[8]*e[9]*e[33]+e[8]*e[29]*e[17]+e[8]*e[11]*e[35];
A[91]=-1.*e[12]*e[34]*e[7]+e[12]*e[32]*e[5]-1.*e[12]*e[35]*e[8]-1.*e[12]*e[29]*e[2]-1.*e[12]*e[28]*e[1]+e[12]*e[31]*e[4]-1.*e[30]*e[11]*e[2]-1.*e[30]*e[10]*e[1]+e[30]*e[13]*e[4]-1.*e[30]*e[16]*e[7]+e[30]*e[14]*e[5]-1.*e[30]*e[17]*e[8]+e[15]*e[3]*e[33]+e[15]*e[31]*e[7]+e[15]*e[4]*e[34]+e[15]*e[32]*e[8]+e[15]*e[5]*e[35]+e[3]*e[27]*e[9]-1.*e[3]*e[28]*e[10]-1.*e[3]*e[34]*e[16]-1.*e[3]*e[35]*e[17]-1.*e[3]*e[29]*e[11]+e[33]*e[13]*e[7]+e[33]*e[4]*e[16]+e[33]*e[14]*e[8]+e[33]*e[5]*e[17]+e[9]*e[28]*e[4]+e[9]*e[1]*e[31]+e[9]*e[29]*e[5]+e[9]*e[2]*e[32]+e[27]*e[10]*e[4]+e[27]*e[1]*e[13]+e[27]*e[11]*e[5]+e[27]*e[2]*e[14]+3.*e[3]*e[30]*e[12]+e[3]*e[32]*e[14]+e[3]*e[31]*e[13]+e[6]*e[30]*e[15]+e[6]*e[12]*e[33]+e[6]*e[32]*e[17]+e[6]*e[14]*e[35]+e[6]*e[31]*e[16]+e[6]*e[13]*e[34]+e[0]*e[27]*e[12]+e[0]*e[9]*e[30]+e[0]*e[29]*e[14]+e[0]*e[11]*e[32]+e[0]*e[28]*e[13]+e[0]*e[10]*e[31];
A[90]=.5000000000*e[21]*ep2[24]-.5000000000*e[21]*ep2[25]+.5000000000*e[21]*ep2[23]-.5000000000*e[21]*ep2[26]+.5000000000*ep2[18]*e[21]+.5000000000*e[21]*ep2[22]-.5000000000*e[21]*ep2[20]+e[24]*e[22]*e[25]+e[24]*e[23]*e[26]-.5000000000*e[21]*ep2[19]+e[18]*e[19]*e[22]+e[18]*e[20]*e[23]+.5000000000*ep3[21];
A[89]=-.5000000000*e[30]*ep2[26]-.5000000000*e[30]*ep2[19]-.5000000000*e[30]*ep2[20]-.5000000000*e[30]*ep2[25]+.5000000000*ep2[18]*e[30]+1.500000000*e[30]*ep2[21]+.5000000000*e[30]*ep2[22]+.5000000000*e[30]*ep2[23]+.5000000000*e[30]*ep2[24]+e[18]*e[27]*e[21]+e[18]*e[28]*e[22]+e[18]*e[19]*e[31]+e[18]*e[29]*e[23]+e[18]*e[20]*e[32]+e[27]*e[19]*e[22]+e[27]*e[20]*e[23]+e[21]*e[31]*e[22]+e[21]*e[32]*e[23]+e[24]*e[21]*e[33]+e[24]*e[31]*e[25]+e[24]*e[22]*e[34]+e[24]*e[32]*e[26]+e[24]*e[23]*e[35]+e[33]*e[22]*e[25]+e[33]*e[23]*e[26]-1.*e[21]*e[29]*e[20]-1.*e[21]*e[35]*e[26]-1.*e[21]*e[28]*e[19]-1.*e[21]*e[34]*e[25];
A[88]=.5000000000*e[12]*ep2[15]-.5000000000*e[12]*ep2[17]+e[15]*e[13]*e[16]-.5000000000*e[12]*ep2[10]+e[15]*e[14]*e[17]-.5000000000*e[12]*ep2[16]-.5000000000*e[12]*ep2[11]+e[9]*e[10]*e[13]+.5000000000*e[12]*ep2[13]+.5000000000*ep2[9]*e[12]+.5000000000*ep3[12]+e[9]*e[11]*e[14]+.5000000000*e[12]*ep2[14];
A[95]=e[12]*e[13]*e[4]+e[12]*e[14]*e[5]+e[15]*e[12]*e[6]+e[15]*e[13]*e[7]+e[15]*e[4]*e[16]+e[15]*e[14]*e[8]+e[15]*e[5]*e[17]+e[6]*e[14]*e[17]+e[6]*e[13]*e[16]+e[0]*e[11]*e[14]+e[0]*e[9]*e[12]+e[0]*e[10]*e[13]+e[9]*e[10]*e[4]+e[9]*e[1]*e[13]+e[9]*e[11]*e[5]+e[9]*e[2]*e[14]-1.*e[12]*e[11]*e[2]-1.*e[12]*e[10]*e[1]-1.*e[12]*e[16]*e[7]-1.*e[12]*e[17]*e[8]+1.500000000*ep2[12]*e[3]+.5000000000*e[3]*ep2[15]-.5000000000*e[3]*ep2[16]+.5000000000*e[3]*ep2[9]-.5000000000*e[3]*ep2[11]-.5000000000*e[3]*ep2[17]-.5000000000*e[3]*ep2[10]+.5000000000*e[3]*ep2[14]+.5000000000*e[3]*ep2[13];
A[94]=e[18]*e[11]*e[14]+e[18]*e[9]*e[12]+e[18]*e[10]*e[13]+e[12]*e[23]*e[14]+e[12]*e[22]*e[13]+e[15]*e[12]*e[24]+e[15]*e[23]*e[17]+e[15]*e[14]*e[26]+e[15]*e[22]*e[16]+e[15]*e[13]*e[25]+e[24]*e[14]*e[17]+e[24]*e[13]*e[16]-1.*e[12]*e[25]*e[16]-1.*e[12]*e[26]*e[17]-1.*e[12]*e[20]*e[11]-1.*e[12]*e[19]*e[10]+e[9]*e[20]*e[14]+e[9]*e[11]*e[23]+e[9]*e[19]*e[13]+e[9]*e[10]*e[22]+.5000000000*ep2[9]*e[21]-.5000000000*e[21]*ep2[16]-.5000000000*e[21]*ep2[11]-.5000000000*e[21]*ep2[17]-.5000000000*e[21]*ep2[10]+1.500000000*e[21]*ep2[12]+.5000000000*e[21]*ep2[14]+.5000000000*e[21]*ep2[13]+.5000000000*e[21]*ep2[15];
A[93]=-1.*e[21]*e[35]*e[8]-1.*e[21]*e[29]*e[2]-1.*e[21]*e[28]*e[1]+e[21]*e[31]*e[4]-1.*e[30]*e[26]*e[8]-1.*e[30]*e[20]*e[2]-1.*e[30]*e[19]*e[1]+e[30]*e[22]*e[4]-1.*e[30]*e[25]*e[7]+e[30]*e[23]*e[5]+e[6]*e[31]*e[25]+e[6]*e[22]*e[34]+e[6]*e[32]*e[26]+e[6]*e[23]*e[35]+e[24]*e[30]*e[6]+e[24]*e[3]*e[33]+e[24]*e[31]*e[7]+e[24]*e[4]*e[34]+e[24]*e[32]*e[8]+e[24]*e[5]*e[35]+e[33]*e[21]*e[6]+e[33]*e[22]*e[7]+e[33]*e[4]*e[25]+e[33]*e[23]*e[8]+e[33]*e[5]*e[26]+e[0]*e[27]*e[21]+e[0]*e[18]*e[30]+e[0]*e[28]*e[22]+e[0]*e[19]*e[31]+e[0]*e[29]*e[23]+e[0]*e[20]*e[32]+e[18]*e[27]*e[3]+e[18]*e[28]*e[4]+e[18]*e[1]*e[31]+e[18]*e[29]*e[5]+e[18]*e[2]*e[32]+e[27]*e[19]*e[4]+e[27]*e[1]*e[22]+e[27]*e[20]*e[5]+e[27]*e[2]*e[23]+3.*e[3]*e[30]*e[21]+e[3]*e[31]*e[22]+e[3]*e[32]*e[23]-1.*e[3]*e[29]*e[20]-1.*e[3]*e[35]*e[26]-1.*e[3]*e[28]*e[19]-1.*e[3]*e[34]*e[25]-1.*e[21]*e[34]*e[7]+e[21]*e[32]*e[5];
A[92]=e[18]*e[1]*e[4]+e[18]*e[0]*e[3]+e[18]*e[2]*e[5]+e[3]*e[22]*e[4]+e[3]*e[23]*e[5]+e[6]*e[3]*e[24]+e[6]*e[22]*e[7]+e[6]*e[4]*e[25]+e[6]*e[23]*e[8]+e[6]*e[5]*e[26]+e[24]*e[4]*e[7]+e[24]*e[5]*e[8]+e[0]*e[19]*e[4]+e[0]*e[1]*e[22]+e[0]*e[20]*e[5]+e[0]*e[2]*e[23]-1.*e[3]*e[26]*e[8]-1.*e[3]*e[20]*e[2]-1.*e[3]*e[19]*e[1]-1.*e[3]*e[25]*e[7]+.5000000000*e[21]*ep2[4]+.5000000000*e[21]*ep2[0]+.5000000000*e[21]*ep2[6]+.5000000000*e[21]*ep2[5]-.5000000000*e[21]*ep2[1]-.5000000000*e[21]*ep2[7]+1.500000000*e[21]*ep2[3]-.5000000000*e[21]*ep2[2]-.5000000000*e[21]*ep2[8];
A[82]=.5000000000*ep2[27]*e[21]+1.500000000*e[21]*ep2[30]+.5000000000*e[21]*ep2[32]+.5000000000*e[21]*ep2[31]+.5000000000*e[21]*ep2[33]-.5000000000*e[21]*ep2[28]-.5000000000*e[21]*ep2[29]-.5000000000*e[21]*ep2[34]-.5000000000*e[21]*ep2[35]+e[18]*e[27]*e[30]+e[18]*e[29]*e[32]+e[18]*e[28]*e[31]+e[27]*e[28]*e[22]+e[27]*e[19]*e[31]+e[27]*e[29]*e[23]+e[27]*e[20]*e[32]+e[30]*e[31]*e[22]+e[30]*e[32]*e[23]+e[24]*e[30]*e[33]+e[24]*e[32]*e[35]+e[24]*e[31]*e[34]+e[33]*e[31]*e[25]+e[33]*e[22]*e[34]+e[33]*e[32]*e[26]+e[33]*e[23]*e[35]-1.*e[30]*e[29]*e[20]-1.*e[30]*e[35]*e[26]-1.*e[30]*e[28]*e[19]-1.*e[30]*e[34]*e[25];
A[192]=-.5000000000*e[26]*ep2[4]-.5000000000*e[26]*ep2[0]+.5000000000*e[26]*ep2[6]+.5000000000*e[26]*ep2[5]-.5000000000*e[26]*ep2[1]+.5000000000*e[26]*ep2[7]-.5000000000*e[26]*ep2[3]+.5000000000*e[26]*ep2[2]+1.500000000*e[26]*ep2[8]+e[20]*e[0]*e[6]+e[20]*e[2]*e[8]+e[5]*e[21]*e[6]+e[5]*e[3]*e[24]+e[5]*e[22]*e[7]+e[5]*e[4]*e[25]+e[5]*e[23]*e[8]+e[23]*e[4]*e[7]+e[23]*e[3]*e[6]+e[8]*e[24]*e[6]+e[8]*e[25]*e[7]+e[2]*e[18]*e[6]+e[2]*e[0]*e[24]+e[2]*e[19]*e[7]+e[2]*e[1]*e[25]-1.*e[8]*e[21]*e[3]-1.*e[8]*e[19]*e[1]-1.*e[8]*e[22]*e[4]-1.*e[8]*e[18]*e[0]+e[20]*e[1]*e[7];
A[83]=e[9]*e[27]*e[30]+e[9]*e[29]*e[32]+e[9]*e[28]*e[31]+e[33]*e[30]*e[15]+e[33]*e[32]*e[17]+e[33]*e[14]*e[35]+e[33]*e[31]*e[16]+e[33]*e[13]*e[34]+e[27]*e[29]*e[14]+e[27]*e[11]*e[32]+e[27]*e[28]*e[13]+e[27]*e[10]*e[31]-1.*e[30]*e[28]*e[10]+e[30]*e[31]*e[13]+e[30]*e[32]*e[14]-1.*e[30]*e[34]*e[16]-1.*e[30]*e[35]*e[17]-1.*e[30]*e[29]*e[11]+e[15]*e[32]*e[35]+e[15]*e[31]*e[34]-.5000000000*e[12]*ep2[34]-.5000000000*e[12]*ep2[35]+.5000000000*e[12]*ep2[27]+.5000000000*e[12]*ep2[32]-.5000000000*e[12]*ep2[28]-.5000000000*e[12]*ep2[29]+.5000000000*e[12]*ep2[31]+.5000000000*e[12]*ep2[33]+1.500000000*e[12]*ep2[30];
A[193]=e[23]*e[30]*e[6]+e[23]*e[3]*e[33]+e[23]*e[31]*e[7]+e[23]*e[4]*e[34]+e[32]*e[21]*e[6]+e[32]*e[3]*e[24]+e[32]*e[22]*e[7]+e[32]*e[4]*e[25]+e[26]*e[33]*e[6]+e[26]*e[34]*e[7]+3.*e[26]*e[35]*e[8]+e[35]*e[24]*e[6]+e[35]*e[25]*e[7]+e[2]*e[27]*e[24]+e[2]*e[18]*e[33]+e[2]*e[28]*e[25]+e[2]*e[19]*e[34]+e[2]*e[29]*e[26]+e[2]*e[20]*e[35]+e[20]*e[27]*e[6]+e[20]*e[0]*e[33]+e[20]*e[28]*e[7]+e[20]*e[1]*e[34]+e[20]*e[29]*e[8]+e[29]*e[18]*e[6]+e[29]*e[0]*e[24]+e[29]*e[19]*e[7]+e[29]*e[1]*e[25]+e[5]*e[30]*e[24]+e[5]*e[21]*e[33]+e[5]*e[31]*e[25]+e[5]*e[22]*e[34]+e[5]*e[32]*e[26]+e[5]*e[23]*e[35]-1.*e[8]*e[27]*e[18]+e[8]*e[33]*e[24]-1.*e[8]*e[30]*e[21]-1.*e[8]*e[31]*e[22]+e[8]*e[32]*e[23]-1.*e[8]*e[28]*e[19]+e[8]*e[34]*e[25]-1.*e[26]*e[27]*e[0]-1.*e[26]*e[30]*e[3]-1.*e[26]*e[28]*e[1]-1.*e[26]*e[31]*e[4]-1.*e[35]*e[21]*e[3]-1.*e[35]*e[19]*e[1]-1.*e[35]*e[22]*e[4]-1.*e[35]*e[18]*e[0];
A[80]=e[27]*e[29]*e[32]+e[27]*e[28]*e[31]+e[33]*e[32]*e[35]+e[33]*e[31]*e[34]+.5000000000*ep3[30]-.5000000000*e[30]*ep2[28]-.5000000000*e[30]*ep2[29]-.5000000000*e[30]*ep2[34]+.5000000000*e[30]*ep2[33]+.5000000000*ep2[27]*e[30]+.5000000000*e[30]*ep2[32]+.5000000000*e[30]*ep2[31]-.5000000000*e[30]*ep2[35];
A[194]=.5000000000*ep2[14]*e[26]+1.500000000*e[26]*ep2[17]+.5000000000*e[26]*ep2[15]+.5000000000*e[26]*ep2[16]+.5000000000*ep2[11]*e[26]-.5000000000*e[26]*ep2[9]-.5000000000*e[26]*ep2[12]-.5000000000*e[26]*ep2[10]-.5000000000*e[26]*ep2[13]+e[20]*e[11]*e[17]+e[20]*e[9]*e[15]+e[20]*e[10]*e[16]+e[14]*e[21]*e[15]+e[14]*e[12]*e[24]+e[14]*e[23]*e[17]+e[14]*e[22]*e[16]+e[14]*e[13]*e[25]+e[23]*e[12]*e[15]+e[23]*e[13]*e[16]+e[17]*e[24]*e[15]+e[17]*e[25]*e[16]-1.*e[17]*e[18]*e[9]-1.*e[17]*e[21]*e[12]-1.*e[17]*e[19]*e[10]-1.*e[17]*e[22]*e[13]+e[11]*e[18]*e[15]+e[11]*e[9]*e[24]+e[11]*e[19]*e[16]+e[11]*e[10]*e[25];
A[81]=e[0]*e[27]*e[30]+e[0]*e[29]*e[32]+e[0]*e[28]*e[31]+e[30]*e[31]*e[4]+e[30]*e[32]*e[5]+e[6]*e[30]*e[33]+e[6]*e[32]*e[35]+e[6]*e[31]*e[34]+e[27]*e[28]*e[4]+e[27]*e[1]*e[31]+e[27]*e[29]*e[5]+e[27]*e[2]*e[32]+e[33]*e[31]*e[7]+e[33]*e[4]*e[34]+e[33]*e[32]*e[8]+e[33]*e[5]*e[35]-1.*e[30]*e[34]*e[7]-1.*e[30]*e[35]*e[8]-1.*e[30]*e[29]*e[2]-1.*e[30]*e[28]*e[1]+1.500000000*e[3]*ep2[30]+.5000000000*e[3]*ep2[32]+.5000000000*e[3]*ep2[31]+.5000000000*e[3]*ep2[27]-.5000000000*e[3]*ep2[28]-.5000000000*e[3]*ep2[29]+.5000000000*e[3]*ep2[33]-.5000000000*e[3]*ep2[34]-.5000000000*e[3]*ep2[35];
A[195]=.5000000000*ep2[14]*e[8]+1.500000000*ep2[17]*e[8]+.5000000000*e[8]*ep2[15]+.5000000000*e[8]*ep2[16]-.5000000000*e[8]*ep2[9]+.5000000000*e[8]*ep2[11]-.5000000000*e[8]*ep2[12]-.5000000000*e[8]*ep2[10]-.5000000000*e[8]*ep2[13]+e[14]*e[12]*e[6]+e[14]*e[3]*e[15]+e[14]*e[13]*e[7]+e[14]*e[4]*e[16]+e[14]*e[5]*e[17]+e[17]*e[15]*e[6]+e[17]*e[16]*e[7]+e[2]*e[11]*e[17]+e[2]*e[9]*e[15]+e[2]*e[10]*e[16]+e[5]*e[12]*e[15]+e[5]*e[13]*e[16]+e[11]*e[9]*e[6]+e[11]*e[0]*e[15]+e[11]*e[10]*e[7]+e[11]*e[1]*e[16]-1.*e[17]*e[10]*e[1]-1.*e[17]*e[13]*e[4]-1.*e[17]*e[9]*e[0]-1.*e[17]*e[12]*e[3];
A[86]=-.5000000000*e[3]*ep2[1]-.5000000000*e[3]*ep2[7]+.5000000000*ep3[3]-.5000000000*e[3]*ep2[8]+e[0]*e[2]*e[5]+.5000000000*e[3]*ep2[6]+.5000000000*e[3]*ep2[4]-.5000000000*e[3]*ep2[2]+e[0]*e[1]*e[4]+e[6]*e[4]*e[7]+.5000000000*ep2[0]*e[3]+.5000000000*e[3]*ep2[5]+e[6]*e[5]*e[8];
A[196]=.5000000000*ep2[23]*e[17]+1.500000000*ep2[26]*e[17]+.5000000000*e[17]*ep2[25]+.5000000000*e[17]*ep2[24]-.5000000000*e[17]*ep2[18]-.5000000000*e[17]*ep2[19]+.5000000000*e[17]*ep2[20]-.5000000000*e[17]*ep2[22]-.5000000000*e[17]*ep2[21]+e[23]*e[21]*e[15]+e[23]*e[12]*e[24]+e[23]*e[14]*e[26]+e[23]*e[22]*e[16]+e[23]*e[13]*e[25]+e[26]*e[24]*e[15]+e[26]*e[25]*e[16]+e[11]*e[19]*e[25]+e[11]*e[18]*e[24]+e[11]*e[20]*e[26]+e[14]*e[22]*e[25]+e[14]*e[21]*e[24]+e[20]*e[18]*e[15]+e[20]*e[9]*e[24]+e[20]*e[19]*e[16]+e[20]*e[10]*e[25]-1.*e[26]*e[18]*e[9]-1.*e[26]*e[21]*e[12]-1.*e[26]*e[19]*e[10]-1.*e[26]*e[22]*e[13];
A[87]=-1.*e[12]*e[34]*e[16]-1.*e[12]*e[35]*e[17]-1.*e[12]*e[29]*e[11]+e[9]*e[27]*e[12]+e[9]*e[29]*e[14]+e[9]*e[11]*e[32]+e[9]*e[28]*e[13]+e[9]*e[10]*e[31]+e[27]*e[11]*e[14]+e[27]*e[10]*e[13]+e[12]*e[32]*e[14]+e[12]*e[31]*e[13]+e[15]*e[12]*e[33]+e[15]*e[32]*e[17]+e[15]*e[14]*e[35]+e[15]*e[31]*e[16]+e[15]*e[13]*e[34]+e[33]*e[14]*e[17]+e[33]*e[13]*e[16]-1.*e[12]*e[28]*e[10]+.5000000000*ep2[9]*e[30]-.5000000000*e[30]*ep2[16]-.5000000000*e[30]*ep2[11]+1.500000000*e[30]*ep2[12]+.5000000000*e[30]*ep2[15]-.5000000000*e[30]*ep2[17]-.5000000000*e[30]*ep2[10]+.5000000000*e[30]*ep2[14]+.5000000000*e[30]*ep2[13];
A[197]=e[32]*e[22]*e[16]+e[32]*e[13]*e[25]-1.*e[17]*e[27]*e[18]+e[17]*e[33]*e[24]-1.*e[17]*e[30]*e[21]+e[17]*e[29]*e[20]+3.*e[17]*e[35]*e[26]-1.*e[17]*e[31]*e[22]-1.*e[17]*e[28]*e[19]+e[17]*e[34]*e[25]+e[20]*e[27]*e[15]+e[20]*e[9]*e[33]+e[20]*e[28]*e[16]+e[20]*e[10]*e[34]+e[29]*e[18]*e[15]+e[29]*e[9]*e[24]+e[29]*e[19]*e[16]+e[29]*e[10]*e[25]-1.*e[26]*e[27]*e[9]-1.*e[26]*e[30]*e[12]-1.*e[26]*e[28]*e[10]-1.*e[26]*e[31]*e[13]+e[26]*e[33]*e[15]+e[26]*e[34]*e[16]+e[35]*e[24]*e[15]+e[35]*e[25]*e[16]-1.*e[35]*e[18]*e[9]-1.*e[35]*e[21]*e[12]-1.*e[35]*e[19]*e[10]-1.*e[35]*e[22]*e[13]+e[14]*e[30]*e[24]+e[14]*e[21]*e[33]+e[14]*e[31]*e[25]+e[14]*e[22]*e[34]+e[14]*e[32]*e[26]+e[14]*e[23]*e[35]+e[11]*e[27]*e[24]+e[11]*e[18]*e[33]+e[11]*e[28]*e[25]+e[11]*e[19]*e[34]+e[11]*e[29]*e[26]+e[11]*e[20]*e[35]+e[23]*e[30]*e[15]+e[23]*e[12]*e[33]+e[23]*e[32]*e[17]+e[23]*e[31]*e[16]+e[23]*e[13]*e[34]+e[32]*e[21]*e[15]+e[32]*e[12]*e[24];
A[84]=e[6]*e[23]*e[17]+e[6]*e[14]*e[26]+e[6]*e[22]*e[16]+e[6]*e[13]*e[25]+e[0]*e[20]*e[14]+e[0]*e[11]*e[23]+e[0]*e[19]*e[13]+e[0]*e[10]*e[22]-1.*e[12]*e[26]*e[8]-1.*e[12]*e[20]*e[2]-1.*e[12]*e[19]*e[1]+e[12]*e[22]*e[4]-1.*e[12]*e[25]*e[7]+e[12]*e[23]*e[5]-1.*e[21]*e[11]*e[2]-1.*e[21]*e[10]*e[1]+e[21]*e[13]*e[4]-1.*e[21]*e[16]*e[7]+e[21]*e[14]*e[5]-1.*e[21]*e[17]*e[8]+e[15]*e[3]*e[24]+e[15]*e[22]*e[7]+e[15]*e[4]*e[25]+e[15]*e[23]*e[8]+e[15]*e[5]*e[26]-1.*e[3]*e[25]*e[16]-1.*e[3]*e[26]*e[17]-1.*e[3]*e[20]*e[11]-1.*e[3]*e[19]*e[10]+e[24]*e[13]*e[7]+e[24]*e[4]*e[16]+e[24]*e[14]*e[8]+e[24]*e[5]*e[17]+e[9]*e[18]*e[3]+e[9]*e[0]*e[21]+e[9]*e[19]*e[4]+e[9]*e[1]*e[22]+e[9]*e[20]*e[5]+e[9]*e[2]*e[23]+e[18]*e[0]*e[12]+e[18]*e[10]*e[4]+e[18]*e[1]*e[13]+e[18]*e[11]*e[5]+e[18]*e[2]*e[14]+3.*e[3]*e[21]*e[12]+e[3]*e[23]*e[14]+e[3]*e[22]*e[13]+e[6]*e[21]*e[15]+e[6]*e[12]*e[24];
A[198]=.5000000000*ep2[5]*e[17]+1.500000000*e[17]*ep2[8]+.5000000000*e[17]*ep2[7]+.5000000000*e[17]*ep2[6]+.5000000000*ep2[2]*e[17]-.5000000000*e[17]*ep2[4]-.5000000000*e[17]*ep2[0]-.5000000000*e[17]*ep2[1]-.5000000000*e[17]*ep2[3]+e[11]*e[1]*e[7]+e[11]*e[0]*e[6]+e[11]*e[2]*e[8]+e[5]*e[12]*e[6]+e[5]*e[3]*e[15]+e[5]*e[13]*e[7]+e[5]*e[4]*e[16]+e[5]*e[14]*e[8]+e[14]*e[4]*e[7]+e[14]*e[3]*e[6]+e[8]*e[15]*e[6]+e[8]*e[16]*e[7]-1.*e[8]*e[10]*e[1]-1.*e[8]*e[13]*e[4]-1.*e[8]*e[9]*e[0]-1.*e[8]*e[12]*e[3]+e[2]*e[9]*e[6]+e[2]*e[0]*e[15]+e[2]*e[10]*e[7]+e[2]*e[1]*e[16];
A[85]=e[6]*e[4]*e[34]+e[6]*e[32]*e[8]+e[6]*e[5]*e[35]+e[33]*e[4]*e[7]+e[33]*e[5]*e[8]+e[0]*e[27]*e[3]+e[0]*e[28]*e[4]+e[0]*e[1]*e[31]+e[0]*e[29]*e[5]+e[0]*e[2]*e[32]-1.*e[3]*e[34]*e[7]+e[3]*e[32]*e[5]+e[3]*e[33]*e[6]-1.*e[3]*e[35]*e[8]-1.*e[3]*e[29]*e[2]-1.*e[3]*e[28]*e[1]+e[3]*e[31]*e[4]+e[27]*e[1]*e[4]+e[27]*e[2]*e[5]+e[6]*e[31]*e[7]+.5000000000*e[30]*ep2[4]+.5000000000*e[30]*ep2[6]+.5000000000*e[30]*ep2[5]-.5000000000*e[30]*ep2[1]-.5000000000*e[30]*ep2[7]-.5000000000*e[30]*ep2[2]-.5000000000*e[30]*ep2[8]+.5000000000*ep2[0]*e[30]+1.500000000*e[30]*ep2[3];
A[199]=.5000000000*ep2[23]*e[8]+1.500000000*ep2[26]*e[8]-.5000000000*e[8]*ep2[18]-.5000000000*e[8]*ep2[19]-.5000000000*e[8]*ep2[22]+.5000000000*e[8]*ep2[24]-.5000000000*e[8]*ep2[21]+.5000000000*e[8]*ep2[25]+.5000000000*ep2[20]*e[8]+e[20]*e[18]*e[6]+e[20]*e[0]*e[24]+e[20]*e[19]*e[7]+e[20]*e[1]*e[25]+e[20]*e[2]*e[26]+e[23]*e[21]*e[6]+e[23]*e[3]*e[24]+e[23]*e[22]*e[7]+e[23]*e[4]*e[25]+e[23]*e[5]*e[26]-1.*e[26]*e[21]*e[3]-1.*e[26]*e[19]*e[1]-1.*e[26]*e[22]*e[4]-1.*e[26]*e[18]*e[0]+e[26]*e[25]*e[7]+e[26]*e[24]*e[6]+e[2]*e[19]*e[25]+e[2]*e[18]*e[24]+e[5]*e[22]*e[25]+e[5]*e[21]*e[24];
A[109]=e[19]*e[27]*e[21]+e[19]*e[18]*e[30]+e[19]*e[28]*e[22]+e[19]*e[29]*e[23]+e[19]*e[20]*e[32]+e[28]*e[18]*e[21]+e[28]*e[20]*e[23]+e[22]*e[30]*e[21]+e[22]*e[32]*e[23]+e[25]*e[30]*e[24]+e[25]*e[21]*e[33]+e[25]*e[22]*e[34]+e[25]*e[32]*e[26]+e[25]*e[23]*e[35]+e[34]*e[21]*e[24]+e[34]*e[23]*e[26]-1.*e[22]*e[27]*e[18]-1.*e[22]*e[33]*e[24]-1.*e[22]*e[29]*e[20]-1.*e[22]*e[35]*e[26]+.5000000000*ep2[19]*e[31]+1.500000000*e[31]*ep2[22]+.5000000000*e[31]*ep2[21]+.5000000000*e[31]*ep2[23]+.5000000000*e[31]*ep2[25]-.5000000000*e[31]*ep2[26]-.5000000000*e[31]*ep2[18]-.5000000000*e[31]*ep2[20]-.5000000000*e[31]*ep2[24];
A[108]=-.5000000000*e[13]*ep2[15]+.5000000000*e[13]*ep2[16]+.5000000000*e[13]*ep2[12]+e[16]*e[12]*e[15]+.5000000000*ep3[13]+e[10]*e[11]*e[14]+.5000000000*e[13]*ep2[14]-.5000000000*e[13]*ep2[17]-.5000000000*e[13]*ep2[11]-.5000000000*e[13]*ep2[9]+.5000000000*ep2[10]*e[13]+e[10]*e[9]*e[12]+e[16]*e[14]*e[17];
A[111]=-1.*e[13]*e[29]*e[2]-1.*e[31]*e[11]*e[2]-1.*e[31]*e[15]*e[6]-1.*e[31]*e[9]*e[0]+e[31]*e[14]*e[5]+e[31]*e[12]*e[3]-1.*e[31]*e[17]*e[8]+e[16]*e[30]*e[6]+e[16]*e[3]*e[33]+e[16]*e[4]*e[34]+e[16]*e[32]*e[8]+e[16]*e[5]*e[35]-1.*e[4]*e[27]*e[9]+e[4]*e[28]*e[10]-1.*e[4]*e[33]*e[15]-1.*e[4]*e[35]*e[17]-1.*e[4]*e[29]*e[11]+e[34]*e[12]*e[6]+e[34]*e[3]*e[15]+e[34]*e[14]*e[8]+e[34]*e[5]*e[17]+e[10]*e[27]*e[3]+e[10]*e[0]*e[30]+e[10]*e[29]*e[5]+e[10]*e[2]*e[32]+e[28]*e[9]*e[3]+e[28]*e[0]*e[12]+e[28]*e[11]*e[5]+e[28]*e[2]*e[14]+e[4]*e[30]*e[12]+e[4]*e[32]*e[14]+3.*e[4]*e[31]*e[13]+e[7]*e[30]*e[15]+e[7]*e[12]*e[33]+e[7]*e[32]*e[17]+e[7]*e[14]*e[35]+e[7]*e[31]*e[16]+e[7]*e[13]*e[34]+e[1]*e[27]*e[12]+e[1]*e[9]*e[30]+e[1]*e[29]*e[14]+e[1]*e[11]*e[32]+e[1]*e[28]*e[13]+e[1]*e[10]*e[31]-1.*e[13]*e[27]*e[0]+e[13]*e[32]*e[5]-1.*e[13]*e[33]*e[6]+e[13]*e[30]*e[3]-1.*e[13]*e[35]*e[8];
A[110]=e[25]*e[23]*e[26]+e[19]*e[20]*e[23]+e[19]*e[18]*e[21]+e[25]*e[21]*e[24]+.5000000000*ep3[22]+.5000000000*e[22]*ep2[23]+.5000000000*ep2[19]*e[22]-.5000000000*e[22]*ep2[18]-.5000000000*e[22]*ep2[24]+.5000000000*e[22]*ep2[21]+.5000000000*e[22]*ep2[25]-.5000000000*e[22]*ep2[20]-.5000000000*e[22]*ep2[26];
A[105]=e[34]*e[5]*e[8]+e[1]*e[27]*e[3]+e[1]*e[0]*e[30]+e[1]*e[28]*e[4]+e[1]*e[29]*e[5]+e[1]*e[2]*e[32]-1.*e[4]*e[27]*e[0]+e[4]*e[34]*e[7]+e[4]*e[32]*e[5]-1.*e[4]*e[33]*e[6]+e[4]*e[30]*e[3]-1.*e[4]*e[35]*e[8]-1.*e[4]*e[29]*e[2]+e[28]*e[0]*e[3]+e[28]*e[2]*e[5]+e[7]*e[30]*e[6]+e[7]*e[3]*e[33]+e[7]*e[32]*e[8]+e[7]*e[5]*e[35]+e[34]*e[3]*e[6]+.5000000000*ep2[1]*e[31]+1.500000000*e[31]*ep2[4]-.5000000000*e[31]*ep2[0]-.5000000000*e[31]*ep2[6]+.5000000000*e[31]*ep2[5]+.5000000000*e[31]*ep2[7]+.5000000000*e[31]*ep2[3]-.5000000000*e[31]*ep2[2]-.5000000000*e[31]*ep2[8];
A[104]=e[1]*e[20]*e[14]+e[1]*e[11]*e[23]+e[13]*e[21]*e[3]-1.*e[13]*e[26]*e[8]-1.*e[13]*e[20]*e[2]-1.*e[13]*e[18]*e[0]+e[13]*e[23]*e[5]-1.*e[13]*e[24]*e[6]-1.*e[22]*e[11]*e[2]-1.*e[22]*e[15]*e[6]-1.*e[22]*e[9]*e[0]+e[22]*e[14]*e[5]+e[22]*e[12]*e[3]-1.*e[22]*e[17]*e[8]+e[16]*e[21]*e[6]+e[16]*e[3]*e[24]+e[16]*e[4]*e[25]+e[16]*e[23]*e[8]+e[16]*e[5]*e[26]-1.*e[4]*e[24]*e[15]-1.*e[4]*e[26]*e[17]-1.*e[4]*e[20]*e[11]-1.*e[4]*e[18]*e[9]+e[25]*e[12]*e[6]+e[25]*e[3]*e[15]+e[25]*e[14]*e[8]+e[25]*e[5]*e[17]+e[10]*e[18]*e[3]+e[10]*e[0]*e[21]+e[10]*e[19]*e[4]+e[10]*e[1]*e[22]+e[10]*e[20]*e[5]+e[10]*e[2]*e[23]+e[19]*e[9]*e[3]+e[19]*e[0]*e[12]+e[19]*e[1]*e[13]+e[19]*e[11]*e[5]+e[19]*e[2]*e[14]+e[4]*e[21]*e[12]+e[4]*e[23]*e[14]+3.*e[4]*e[22]*e[13]+e[7]*e[21]*e[15]+e[7]*e[12]*e[24]+e[7]*e[23]*e[17]+e[7]*e[14]*e[26]+e[7]*e[22]*e[16]+e[7]*e[13]*e[25]+e[1]*e[18]*e[12]+e[1]*e[9]*e[21];
A[107]=e[10]*e[27]*e[12]+e[10]*e[9]*e[30]+e[10]*e[29]*e[14]+e[10]*e[11]*e[32]+e[10]*e[28]*e[13]+e[28]*e[11]*e[14]+e[28]*e[9]*e[12]+e[13]*e[30]*e[12]+e[13]*e[32]*e[14]+e[16]*e[30]*e[15]+e[16]*e[12]*e[33]+e[16]*e[32]*e[17]+e[16]*e[14]*e[35]+e[16]*e[13]*e[34]+e[34]*e[14]*e[17]+e[34]*e[12]*e[15]-1.*e[13]*e[27]*e[9]-1.*e[13]*e[33]*e[15]-1.*e[13]*e[35]*e[17]-1.*e[13]*e[29]*e[11]+.5000000000*ep2[10]*e[31]+.5000000000*e[31]*ep2[16]-.5000000000*e[31]*ep2[9]-.5000000000*e[31]*ep2[11]+.5000000000*e[31]*ep2[12]-.5000000000*e[31]*ep2[15]-.5000000000*e[31]*ep2[17]+.5000000000*e[31]*ep2[14]+1.500000000*e[31]*ep2[13];
A[106]=-.5000000000*e[4]*ep2[6]-.5000000000*e[4]*ep2[0]+e[1]*e[2]*e[5]+.5000000000*e[4]*ep2[7]+e[1]*e[0]*e[3]+e[7]*e[5]*e[8]-.5000000000*e[4]*ep2[8]+.5000000000*e[4]*ep2[3]+.5000000000*e[4]*ep2[5]+e[7]*e[3]*e[6]-.5000000000*e[4]*ep2[2]+.5000000000*ep3[4]+.5000000000*ep2[1]*e[4];
A[100]=e[34]*e[32]*e[35]-.5000000000*e[31]*ep2[35]+.5000000000*e[31]*ep2[34]+.5000000000*ep2[28]*e[31]+.5000000000*ep3[31]+.5000000000*e[31]*ep2[32]+e[34]*e[30]*e[33]-.5000000000*e[31]*ep2[27]+.5000000000*e[31]*ep2[30]-.5000000000*e[31]*ep2[33]-.5000000000*e[31]*ep2[29]+e[28]*e[29]*e[32]+e[28]*e[27]*e[30];
A[101]=e[1]*e[27]*e[30]+e[1]*e[29]*e[32]+e[1]*e[28]*e[31]+e[31]*e[30]*e[3]+e[31]*e[32]*e[5]+e[7]*e[30]*e[33]+e[7]*e[32]*e[35]+e[7]*e[31]*e[34]+e[28]*e[27]*e[3]+e[28]*e[0]*e[30]+e[28]*e[29]*e[5]+e[28]*e[2]*e[32]+e[34]*e[30]*e[6]+e[34]*e[3]*e[33]+e[34]*e[32]*e[8]+e[34]*e[5]*e[35]-1.*e[31]*e[27]*e[0]-1.*e[31]*e[33]*e[6]-1.*e[31]*e[35]*e[8]-1.*e[31]*e[29]*e[2]+.5000000000*e[4]*ep2[30]+.5000000000*e[4]*ep2[32]+1.500000000*e[4]*ep2[31]-.5000000000*e[4]*ep2[27]+.5000000000*e[4]*ep2[28]-.5000000000*e[4]*ep2[29]-.5000000000*e[4]*ep2[33]+.5000000000*e[4]*ep2[34]-.5000000000*e[4]*ep2[35];
A[102]=.5000000000*e[22]*ep2[30]+.5000000000*e[22]*ep2[32]+1.500000000*e[22]*ep2[31]+.5000000000*e[22]*ep2[34]-.5000000000*e[22]*ep2[27]-.5000000000*e[22]*ep2[29]-.5000000000*e[22]*ep2[33]-.5000000000*e[22]*ep2[35]+e[28]*e[18]*e[30]+e[28]*e[29]*e[23]+e[28]*e[20]*e[32]+e[31]*e[30]*e[21]+e[31]*e[32]*e[23]+e[25]*e[30]*e[33]+e[25]*e[32]*e[35]+e[25]*e[31]*e[34]+e[34]*e[30]*e[24]+e[34]*e[21]*e[33]+e[34]*e[32]*e[26]+e[34]*e[23]*e[35]-1.*e[31]*e[27]*e[18]-1.*e[31]*e[33]*e[24]-1.*e[31]*e[29]*e[20]-1.*e[31]*e[35]*e[26]+e[19]*e[27]*e[30]+e[19]*e[29]*e[32]+e[19]*e[28]*e[31]+e[28]*e[27]*e[21]+.5000000000*ep2[28]*e[22];
A[103]=e[16]*e[30]*e[33]+e[16]*e[32]*e[35]+e[10]*e[27]*e[30]+e[10]*e[29]*e[32]+e[10]*e[28]*e[31]+e[34]*e[30]*e[15]+e[34]*e[12]*e[33]+e[34]*e[32]*e[17]+e[34]*e[14]*e[35]+e[34]*e[31]*e[16]+e[28]*e[27]*e[12]+e[28]*e[9]*e[30]+e[28]*e[29]*e[14]+e[28]*e[11]*e[32]-1.*e[31]*e[27]*e[9]+e[31]*e[30]*e[12]+e[31]*e[32]*e[14]-1.*e[31]*e[33]*e[15]-1.*e[31]*e[35]*e[17]-1.*e[31]*e[29]*e[11]-.5000000000*e[13]*ep2[27]+.5000000000*e[13]*ep2[32]+.5000000000*e[13]*ep2[28]-.5000000000*e[13]*ep2[29]+1.500000000*e[13]*ep2[31]-.5000000000*e[13]*ep2[33]+.5000000000*e[13]*ep2[30]+.5000000000*e[13]*ep2[34]-.5000000000*e[13]*ep2[35];
A[96]=e[21]*e[23]*e[14]+e[21]*e[22]*e[13]+e[24]*e[21]*e[15]+e[24]*e[23]*e[17]+e[24]*e[14]*e[26]+e[24]*e[22]*e[16]+e[24]*e[13]*e[25]+e[15]*e[22]*e[25]+e[15]*e[23]*e[26]+e[9]*e[19]*e[22]+e[9]*e[18]*e[21]+e[9]*e[20]*e[23]+e[18]*e[20]*e[14]+e[18]*e[11]*e[23]+e[18]*e[19]*e[13]+e[18]*e[10]*e[22]-1.*e[21]*e[25]*e[16]-1.*e[21]*e[26]*e[17]-1.*e[21]*e[20]*e[11]-1.*e[21]*e[19]*e[10]+1.500000000*ep2[21]*e[12]+.5000000000*e[12]*ep2[24]-.5000000000*e[12]*ep2[26]+.5000000000*e[12]*ep2[18]+.5000000000*e[12]*ep2[23]-.5000000000*e[12]*ep2[19]-.5000000000*e[12]*ep2[20]+.5000000000*e[12]*ep2[22]-.5000000000*e[12]*ep2[25];
A[97]=-1.*e[12]*e[29]*e[20]-1.*e[12]*e[35]*e[26]-1.*e[12]*e[28]*e[19]-1.*e[12]*e[34]*e[25]+e[18]*e[29]*e[14]+e[18]*e[11]*e[32]+e[18]*e[28]*e[13]+e[18]*e[10]*e[31]+e[27]*e[20]*e[14]+e[27]*e[11]*e[23]+e[27]*e[19]*e[13]+e[27]*e[10]*e[22]+e[15]*e[30]*e[24]+e[15]*e[21]*e[33]+e[15]*e[31]*e[25]+e[15]*e[22]*e[34]+e[15]*e[32]*e[26]+e[15]*e[23]*e[35]-1.*e[21]*e[28]*e[10]-1.*e[21]*e[34]*e[16]-1.*e[21]*e[35]*e[17]-1.*e[21]*e[29]*e[11]-1.*e[30]*e[25]*e[16]-1.*e[30]*e[26]*e[17]-1.*e[30]*e[20]*e[11]-1.*e[30]*e[19]*e[10]+e[24]*e[32]*e[17]+e[24]*e[14]*e[35]+e[24]*e[31]*e[16]+e[24]*e[13]*e[34]+e[33]*e[23]*e[17]+e[33]*e[14]*e[26]+e[33]*e[22]*e[16]+e[33]*e[13]*e[25]+3.*e[12]*e[30]*e[21]+e[12]*e[31]*e[22]+e[12]*e[32]*e[23]+e[9]*e[27]*e[21]+e[9]*e[18]*e[30]+e[9]*e[28]*e[22]+e[9]*e[19]*e[31]+e[9]*e[29]*e[23]+e[9]*e[20]*e[32]+e[21]*e[32]*e[14]+e[21]*e[31]*e[13]+e[30]*e[23]*e[14]+e[30]*e[22]*e[13]+e[12]*e[27]*e[18]+e[12]*e[33]*e[24];
A[98]=e[0]*e[11]*e[5]+e[0]*e[2]*e[14]+e[9]*e[1]*e[4]+e[9]*e[0]*e[3]+e[9]*e[2]*e[5]+e[3]*e[13]*e[4]+e[3]*e[14]*e[5]+e[6]*e[3]*e[15]+e[6]*e[13]*e[7]+e[6]*e[4]*e[16]+e[6]*e[14]*e[8]+e[6]*e[5]*e[17]+e[15]*e[4]*e[7]+e[15]*e[5]*e[8]-1.*e[3]*e[11]*e[2]-1.*e[3]*e[10]*e[1]-1.*e[3]*e[16]*e[7]-1.*e[3]*e[17]*e[8]+e[0]*e[10]*e[4]+e[0]*e[1]*e[13]+1.500000000*e[12]*ep2[3]+.5000000000*e[12]*ep2[4]+.5000000000*e[12]*ep2[5]+.5000000000*e[12]*ep2[6]+.5000000000*ep2[0]*e[12]-.5000000000*e[12]*ep2[1]-.5000000000*e[12]*ep2[7]-.5000000000*e[12]*ep2[2]-.5000000000*e[12]*ep2[8];
A[99]=e[21]*e[24]*e[6]+e[0]*e[19]*e[22]+e[0]*e[20]*e[23]+e[24]*e[22]*e[7]+e[24]*e[4]*e[25]+e[24]*e[23]*e[8]+e[24]*e[5]*e[26]+e[6]*e[22]*e[25]+e[6]*e[23]*e[26]+e[18]*e[0]*e[21]+e[18]*e[19]*e[4]+e[18]*e[1]*e[22]+e[18]*e[20]*e[5]+e[18]*e[2]*e[23]+e[21]*e[22]*e[4]+e[21]*e[23]*e[5]-1.*e[21]*e[26]*e[8]-1.*e[21]*e[20]*e[2]-1.*e[21]*e[19]*e[1]-1.*e[21]*e[25]*e[7]+1.500000000*ep2[21]*e[3]+.5000000000*e[3]*ep2[22]+.5000000000*e[3]*ep2[23]+.5000000000*e[3]*ep2[24]-.5000000000*e[3]*ep2[26]-.5000000000*e[3]*ep2[19]-.5000000000*e[3]*ep2[20]-.5000000000*e[3]*ep2[25]+.5000000000*ep2[18]*e[3];
A[127]=e[11]*e[27]*e[12]+e[11]*e[9]*e[30]+e[11]*e[29]*e[14]+e[11]*e[28]*e[13]+e[11]*e[10]*e[31]+e[29]*e[9]*e[12]+e[29]*e[10]*e[13]+e[14]*e[30]*e[12]+e[14]*e[31]*e[13]+e[17]*e[30]*e[15]+e[17]*e[12]*e[33]+e[17]*e[14]*e[35]+e[17]*e[31]*e[16]+e[17]*e[13]*e[34]+e[35]*e[12]*e[15]+e[35]*e[13]*e[16]-1.*e[14]*e[27]*e[9]-1.*e[14]*e[28]*e[10]-1.*e[14]*e[33]*e[15]-1.*e[14]*e[34]*e[16]+.5000000000*ep2[11]*e[32]-.5000000000*e[32]*ep2[16]-.5000000000*e[32]*ep2[9]+.5000000000*e[32]*ep2[12]-.5000000000*e[32]*ep2[15]+.5000000000*e[32]*ep2[17]-.5000000000*e[32]*ep2[10]+1.500000000*e[32]*ep2[14]+.5000000000*e[32]*ep2[13];
A[126]=e[8]*e[3]*e[6]+.5000000000*ep2[2]*e[5]-.5000000000*e[5]*ep2[0]+.5000000000*e[5]*ep2[4]-.5000000000*e[5]*ep2[6]+.5000000000*e[5]*ep2[8]+e[8]*e[4]*e[7]+.5000000000*ep3[5]+e[2]*e[0]*e[3]+.5000000000*e[5]*ep2[3]-.5000000000*e[5]*ep2[7]+e[2]*e[1]*e[4]-.5000000000*e[5]*ep2[1];
A[125]=e[2]*e[27]*e[3]+e[2]*e[0]*e[30]+e[2]*e[28]*e[4]+e[2]*e[1]*e[31]+e[2]*e[29]*e[5]-1.*e[5]*e[27]*e[0]-1.*e[5]*e[34]*e[7]-1.*e[5]*e[33]*e[6]+e[5]*e[30]*e[3]+e[5]*e[35]*e[8]-1.*e[5]*e[28]*e[1]+e[5]*e[31]*e[4]+e[29]*e[1]*e[4]+e[29]*e[0]*e[3]+e[8]*e[30]*e[6]+e[8]*e[3]*e[33]+e[8]*e[31]*e[7]+e[8]*e[4]*e[34]+e[35]*e[4]*e[7]+e[35]*e[3]*e[6]+.5000000000*ep2[2]*e[32]+1.500000000*e[32]*ep2[5]+.5000000000*e[32]*ep2[4]-.5000000000*e[32]*ep2[0]-.5000000000*e[32]*ep2[6]-.5000000000*e[32]*ep2[1]-.5000000000*e[32]*ep2[7]+.5000000000*e[32]*ep2[3]+.5000000000*e[32]*ep2[8];
A[124]=-1.*e[14]*e[19]*e[1]+e[14]*e[22]*e[4]-1.*e[14]*e[18]*e[0]-1.*e[14]*e[25]*e[7]-1.*e[14]*e[24]*e[6]-1.*e[23]*e[10]*e[1]+e[23]*e[13]*e[4]-1.*e[23]*e[16]*e[7]-1.*e[23]*e[15]*e[6]-1.*e[23]*e[9]*e[0]+e[23]*e[12]*e[3]+e[17]*e[21]*e[6]+e[17]*e[3]*e[24]+e[17]*e[22]*e[7]+e[17]*e[4]*e[25]+e[17]*e[5]*e[26]-1.*e[5]*e[24]*e[15]-1.*e[5]*e[25]*e[16]-1.*e[5]*e[18]*e[9]-1.*e[5]*e[19]*e[10]+e[26]*e[12]*e[6]+e[26]*e[3]*e[15]+e[26]*e[13]*e[7]+e[26]*e[4]*e[16]+e[11]*e[18]*e[3]+e[11]*e[0]*e[21]+e[11]*e[19]*e[4]+e[11]*e[1]*e[22]+e[11]*e[20]*e[5]+e[11]*e[2]*e[23]+e[20]*e[9]*e[3]+e[20]*e[0]*e[12]+e[20]*e[10]*e[4]+e[20]*e[1]*e[13]+e[20]*e[2]*e[14]+e[5]*e[21]*e[12]+3.*e[5]*e[23]*e[14]+e[5]*e[22]*e[13]+e[8]*e[21]*e[15]+e[8]*e[12]*e[24]+e[8]*e[23]*e[17]+e[8]*e[14]*e[26]+e[8]*e[22]*e[16]+e[8]*e[13]*e[25]+e[2]*e[18]*e[12]+e[2]*e[9]*e[21]+e[2]*e[19]*e[13]+e[2]*e[10]*e[22]+e[14]*e[21]*e[3];
A[123]=-.5000000000*e[14]*ep2[27]+1.500000000*e[14]*ep2[32]-.5000000000*e[14]*ep2[28]+.5000000000*e[14]*ep2[29]+.5000000000*e[14]*ep2[31]-.5000000000*e[14]*ep2[33]+.5000000000*e[14]*ep2[30]-.5000000000*e[14]*ep2[34]+.5000000000*e[14]*ep2[35]+e[11]*e[27]*e[30]+e[11]*e[29]*e[32]+e[11]*e[28]*e[31]+e[35]*e[30]*e[15]+e[35]*e[12]*e[33]+e[35]*e[32]*e[17]+e[35]*e[31]*e[16]+e[35]*e[13]*e[34]+e[29]*e[27]*e[12]+e[29]*e[9]*e[30]+e[29]*e[28]*e[13]+e[29]*e[10]*e[31]-1.*e[32]*e[27]*e[9]+e[32]*e[30]*e[12]-1.*e[32]*e[28]*e[10]+e[32]*e[31]*e[13]-1.*e[32]*e[33]*e[15]-1.*e[32]*e[34]*e[16]+e[17]*e[30]*e[33]+e[17]*e[31]*e[34];
A[122]=-.5000000000*e[23]*ep2[33]-.5000000000*e[23]*ep2[34]+.5000000000*ep2[29]*e[23]+.5000000000*e[23]*ep2[30]+1.500000000*e[23]*ep2[32]+.5000000000*e[23]*ep2[31]+.5000000000*e[23]*ep2[35]-.5000000000*e[23]*ep2[27]-.5000000000*e[23]*ep2[28]+e[32]*e[30]*e[21]+e[32]*e[31]*e[22]+e[26]*e[30]*e[33]+e[26]*e[32]*e[35]+e[26]*e[31]*e[34]+e[35]*e[30]*e[24]+e[35]*e[21]*e[33]+e[35]*e[31]*e[25]+e[35]*e[22]*e[34]-1.*e[32]*e[27]*e[18]-1.*e[32]*e[33]*e[24]-1.*e[32]*e[28]*e[19]-1.*e[32]*e[34]*e[25]+e[20]*e[27]*e[30]+e[20]*e[29]*e[32]+e[20]*e[28]*e[31]+e[29]*e[27]*e[21]+e[29]*e[18]*e[30]+e[29]*e[28]*e[22]+e[29]*e[19]*e[31];
A[121]=e[2]*e[27]*e[30]+e[2]*e[29]*e[32]+e[2]*e[28]*e[31]+e[32]*e[30]*e[3]+e[32]*e[31]*e[4]+e[8]*e[30]*e[33]+e[8]*e[32]*e[35]+e[8]*e[31]*e[34]+e[29]*e[27]*e[3]+e[29]*e[0]*e[30]+e[29]*e[28]*e[4]+e[29]*e[1]*e[31]+e[35]*e[30]*e[6]+e[35]*e[3]*e[33]+e[35]*e[31]*e[7]+e[35]*e[4]*e[34]-1.*e[32]*e[27]*e[0]-1.*e[32]*e[34]*e[7]-1.*e[32]*e[33]*e[6]-1.*e[32]*e[28]*e[1]+.5000000000*e[5]*ep2[30]+1.500000000*e[5]*ep2[32]+.5000000000*e[5]*ep2[31]-.5000000000*e[5]*ep2[27]-.5000000000*e[5]*ep2[28]+.5000000000*e[5]*ep2[29]-.5000000000*e[5]*ep2[33]-.5000000000*e[5]*ep2[34]+.5000000000*e[5]*ep2[35];
A[120]=.5000000000*e[32]*ep2[31]+.5000000000*e[32]*ep2[35]-.5000000000*e[32]*ep2[27]+e[29]*e[27]*e[30]+e[29]*e[28]*e[31]+e[35]*e[30]*e[33]+e[35]*e[31]*e[34]+.5000000000*ep2[29]*e[32]+.5000000000*ep3[32]-.5000000000*e[32]*ep2[33]-.5000000000*e[32]*ep2[34]+.5000000000*e[32]*ep2[30]-.5000000000*e[32]*ep2[28];
A[118]=e[10]*e[1]*e[4]+e[10]*e[0]*e[3]+e[10]*e[2]*e[5]+e[4]*e[12]*e[3]+e[4]*e[14]*e[5]+e[7]*e[12]*e[6]+e[7]*e[3]*e[15]+e[7]*e[4]*e[16]+e[7]*e[14]*e[8]+e[7]*e[5]*e[17]+e[16]*e[3]*e[6]+e[16]*e[5]*e[8]-1.*e[4]*e[11]*e[2]-1.*e[4]*e[15]*e[6]-1.*e[4]*e[9]*e[0]-1.*e[4]*e[17]*e[8]+e[1]*e[9]*e[3]+e[1]*e[0]*e[12]+e[1]*e[11]*e[5]+e[1]*e[2]*e[14]+1.500000000*e[13]*ep2[4]+.5000000000*e[13]*ep2[3]+.5000000000*e[13]*ep2[5]+.5000000000*e[13]*ep2[7]+.5000000000*ep2[1]*e[13]-.5000000000*e[13]*ep2[0]-.5000000000*e[13]*ep2[6]-.5000000000*e[13]*ep2[2]-.5000000000*e[13]*ep2[8];
A[119]=e[25]*e[21]*e[6]+e[25]*e[3]*e[24]+e[25]*e[23]*e[8]+e[25]*e[5]*e[26]+e[7]*e[21]*e[24]+e[7]*e[23]*e[26]+e[19]*e[18]*e[3]+e[19]*e[0]*e[21]+e[19]*e[1]*e[22]+e[19]*e[20]*e[5]+e[19]*e[2]*e[23]+e[22]*e[21]*e[3]+e[22]*e[23]*e[5]-1.*e[22]*e[26]*e[8]-1.*e[22]*e[20]*e[2]-1.*e[22]*e[18]*e[0]+e[22]*e[25]*e[7]-1.*e[22]*e[24]*e[6]+e[1]*e[18]*e[21]+e[1]*e[20]*e[23]+.5000000000*e[4]*ep2[25]-.5000000000*e[4]*ep2[26]-.5000000000*e[4]*ep2[18]-.5000000000*e[4]*ep2[20]-.5000000000*e[4]*ep2[24]+.5000000000*ep2[19]*e[4]+1.500000000*ep2[22]*e[4]+.5000000000*e[4]*ep2[21]+.5000000000*e[4]*ep2[23];
A[116]=e[22]*e[21]*e[12]+e[22]*e[23]*e[14]+e[25]*e[21]*e[15]+e[25]*e[12]*e[24]+e[25]*e[23]*e[17]+e[25]*e[14]*e[26]+e[25]*e[22]*e[16]+e[16]*e[21]*e[24]+e[16]*e[23]*e[26]+e[10]*e[19]*e[22]+e[10]*e[18]*e[21]+e[10]*e[20]*e[23]+e[19]*e[18]*e[12]+e[19]*e[9]*e[21]+e[19]*e[20]*e[14]+e[19]*e[11]*e[23]-1.*e[22]*e[24]*e[15]-1.*e[22]*e[26]*e[17]-1.*e[22]*e[20]*e[11]-1.*e[22]*e[18]*e[9]-.5000000000*e[13]*ep2[26]-.5000000000*e[13]*ep2[18]+.5000000000*e[13]*ep2[23]+.5000000000*e[13]*ep2[19]-.5000000000*e[13]*ep2[20]-.5000000000*e[13]*ep2[24]+.5000000000*e[13]*ep2[21]+1.500000000*ep2[22]*e[13]+.5000000000*e[13]*ep2[25];
A[117]=e[13]*e[30]*e[21]+3.*e[13]*e[31]*e[22]+e[13]*e[32]*e[23]+e[10]*e[27]*e[21]+e[10]*e[18]*e[30]+e[10]*e[28]*e[22]+e[10]*e[19]*e[31]+e[10]*e[29]*e[23]+e[10]*e[20]*e[32]+e[22]*e[30]*e[12]+e[22]*e[32]*e[14]+e[31]*e[21]*e[12]+e[31]*e[23]*e[14]-1.*e[13]*e[27]*e[18]-1.*e[13]*e[33]*e[24]-1.*e[13]*e[29]*e[20]-1.*e[13]*e[35]*e[26]+e[13]*e[28]*e[19]+e[13]*e[34]*e[25]+e[19]*e[27]*e[12]+e[19]*e[9]*e[30]+e[19]*e[29]*e[14]+e[19]*e[11]*e[32]+e[28]*e[18]*e[12]+e[28]*e[9]*e[21]+e[28]*e[20]*e[14]+e[28]*e[11]*e[23]+e[16]*e[30]*e[24]+e[16]*e[21]*e[33]+e[16]*e[31]*e[25]+e[16]*e[22]*e[34]+e[16]*e[32]*e[26]+e[16]*e[23]*e[35]-1.*e[22]*e[27]*e[9]-1.*e[22]*e[33]*e[15]-1.*e[22]*e[35]*e[17]-1.*e[22]*e[29]*e[11]-1.*e[31]*e[24]*e[15]-1.*e[31]*e[26]*e[17]-1.*e[31]*e[20]*e[11]-1.*e[31]*e[18]*e[9]+e[25]*e[30]*e[15]+e[25]*e[12]*e[33]+e[25]*e[32]*e[17]+e[25]*e[14]*e[35]+e[34]*e[21]*e[15]+e[34]*e[12]*e[24]+e[34]*e[23]*e[17]+e[34]*e[14]*e[26];
A[114]=e[19]*e[11]*e[14]+e[19]*e[9]*e[12]+e[19]*e[10]*e[13]+e[13]*e[21]*e[12]+e[13]*e[23]*e[14]+e[16]*e[21]*e[15]+e[16]*e[12]*e[24]+e[16]*e[23]*e[17]+e[16]*e[14]*e[26]+e[16]*e[13]*e[25]+e[25]*e[14]*e[17]+e[25]*e[12]*e[15]-1.*e[13]*e[24]*e[15]-1.*e[13]*e[26]*e[17]-1.*e[13]*e[20]*e[11]-1.*e[13]*e[18]*e[9]+e[10]*e[18]*e[12]+e[10]*e[9]*e[21]+e[10]*e[20]*e[14]+e[10]*e[11]*e[23]+1.500000000*e[22]*ep2[13]+.5000000000*e[22]*ep2[14]+.5000000000*e[22]*ep2[12]+.5000000000*e[22]*ep2[16]+.5000000000*ep2[10]*e[22]-.5000000000*e[22]*ep2[9]-.5000000000*e[22]*ep2[11]-.5000000000*e[22]*ep2[15]-.5000000000*e[22]*ep2[17];
A[115]=e[13]*e[12]*e[3]+e[13]*e[14]*e[5]+e[16]*e[12]*e[6]+e[16]*e[3]*e[15]+e[16]*e[13]*e[7]+e[16]*e[14]*e[8]+e[16]*e[5]*e[17]+e[7]*e[14]*e[17]+e[7]*e[12]*e[15]+e[1]*e[11]*e[14]+e[1]*e[9]*e[12]+e[1]*e[10]*e[13]+e[10]*e[9]*e[3]+e[10]*e[0]*e[12]+e[10]*e[11]*e[5]+e[10]*e[2]*e[14]-1.*e[13]*e[11]*e[2]-1.*e[13]*e[15]*e[6]-1.*e[13]*e[9]*e[0]-1.*e[13]*e[17]*e[8]+1.500000000*ep2[13]*e[4]+.5000000000*e[4]*ep2[16]-.5000000000*e[4]*ep2[9]-.5000000000*e[4]*ep2[11]+.5000000000*e[4]*ep2[12]-.5000000000*e[4]*ep2[15]-.5000000000*e[4]*ep2[17]+.5000000000*e[4]*ep2[10]+.5000000000*e[4]*ep2[14];
A[112]=e[19]*e[1]*e[4]+e[19]*e[0]*e[3]+e[19]*e[2]*e[5]+e[4]*e[21]*e[3]+e[4]*e[23]*e[5]+e[7]*e[21]*e[6]+e[7]*e[3]*e[24]+e[7]*e[4]*e[25]+e[7]*e[23]*e[8]+e[7]*e[5]*e[26]+e[25]*e[3]*e[6]+e[25]*e[5]*e[8]+e[1]*e[18]*e[3]+e[1]*e[0]*e[21]+e[1]*e[20]*e[5]+e[1]*e[2]*e[23]-1.*e[4]*e[26]*e[8]-1.*e[4]*e[20]*e[2]-1.*e[4]*e[18]*e[0]-1.*e[4]*e[24]*e[6]+1.500000000*e[22]*ep2[4]-.5000000000*e[22]*ep2[0]-.5000000000*e[22]*ep2[6]+.5000000000*e[22]*ep2[5]+.5000000000*e[22]*ep2[1]+.5000000000*e[22]*ep2[7]+.5000000000*e[22]*ep2[3]-.5000000000*e[22]*ep2[2]-.5000000000*e[22]*ep2[8];
A[113]=-1.*e[31]*e[20]*e[2]-1.*e[31]*e[18]*e[0]+e[31]*e[23]*e[5]-1.*e[31]*e[24]*e[6]+e[7]*e[30]*e[24]+e[7]*e[21]*e[33]+e[7]*e[32]*e[26]+e[7]*e[23]*e[35]+e[25]*e[30]*e[6]+e[25]*e[3]*e[33]+e[25]*e[31]*e[7]+e[25]*e[4]*e[34]+e[25]*e[32]*e[8]+e[25]*e[5]*e[35]+e[34]*e[21]*e[6]+e[34]*e[3]*e[24]+e[34]*e[22]*e[7]+e[34]*e[23]*e[8]+e[34]*e[5]*e[26]+e[1]*e[27]*e[21]+e[1]*e[18]*e[30]+e[1]*e[28]*e[22]+e[1]*e[19]*e[31]+e[1]*e[29]*e[23]+e[1]*e[20]*e[32]+e[19]*e[27]*e[3]+e[19]*e[0]*e[30]+e[19]*e[28]*e[4]+e[19]*e[29]*e[5]+e[19]*e[2]*e[32]+e[28]*e[18]*e[3]+e[28]*e[0]*e[21]+e[28]*e[20]*e[5]+e[28]*e[2]*e[23]+e[4]*e[30]*e[21]+3.*e[4]*e[31]*e[22]+e[4]*e[32]*e[23]-1.*e[4]*e[27]*e[18]-1.*e[4]*e[33]*e[24]-1.*e[4]*e[29]*e[20]-1.*e[4]*e[35]*e[26]-1.*e[22]*e[27]*e[0]+e[22]*e[32]*e[5]-1.*e[22]*e[33]*e[6]+e[22]*e[30]*e[3]-1.*e[22]*e[35]*e[8]-1.*e[22]*e[29]*e[2]+e[31]*e[21]*e[3]-1.*e[31]*e[26]*e[8];
int perm[20] = {6, 8, 18, 15, 12, 5, 14, 7, 4, 11, 19, 13, 1, 16, 17, 3, 10, 9, 2, 0};
double AA[200];
for (int i = 0; i < 20; i++)
{
for (int j = 0; j < 10; j++) AA[i + j * 20] = A[perm[i] + j * 20];
for (int j = 0; j < 10; j++) AA[i + j * 20] = A[perm[i] + j * 20];
}
for (int i = 0; i < 200; i++)
{
A[i] = AA[i];
A[i] = AA[i];
}
}
@@ -394,31 +393,31 @@ protected:
double b = Ex1[1] * Ex1[1];
double c = Etx2[0] * Etx2[0];
double d = Etx2[1] * Etx2[1];
err.at<float>(i) = (float)(x2tEx1 * x2tEx1 / (a + b + c + d));
}
}
};
};
}
// Input should be a vector of n 2D points or a Nx2 matrix
cv::Mat cv::findEssentialMat( InputArray _points1, InputArray _points2, double focal, Point2d pp,
int method, double prob, double threshold, OutputArray _mask)
int method, double prob, double threshold, OutputArray _mask)
{
Mat points1, points2;
_points1.getMat().convertTo(points1, CV_64F);
_points2.getMat().convertTo(points2, CV_64F);
Mat points1, points2;
_points1.getMat().convertTo(points1, CV_64F);
_points2.getMat().convertTo(points2, CV_64F);
int npoints = points1.checkVector(2);
int npoints = points1.checkVector(2);
CV_Assert( npoints >= 5 && points2.checkVector(2) == npoints &&
points1.type() == points2.type());
points1.type() == points2.type());
if( points1.channels() > 1 )
{
points1 = points1.reshape(1, npoints);
points2 = points2.reshape(1, npoints);
}
if( points1.channels() > 1 )
{
points1 = points1.reshape(1, npoints);
points2 = points2.reshape(1, npoints);
}
double ifocal = focal != 0 ? 1./focal : 1.;
for( int i = 0; i < npoints; i++ )
@@ -429,11 +428,11 @@ cv::Mat cv::findEssentialMat( InputArray _points1, InputArray _points2, double f
points2.at<double>(i, 1) = (points2.at<double>(i, 1) - pp.y)*ifocal;
}
// Reshape data to fit opencv ransac function
points1 = points1.reshape(2, npoints);
points2 = points2.reshape(2, npoints);
// Reshape data to fit opencv ransac function
points1 = points1.reshape(2, npoints);
points2 = points2.reshape(2, npoints);
threshold /= focal;
threshold /= focal;
Mat E;
if( method == CV_RANSAC )
@@ -441,165 +440,165 @@ cv::Mat cv::findEssentialMat( InputArray _points1, InputArray _points2, double f
else
createLMeDSPointSetRegistrator(new EMEstimatorCallback, 5, prob)->run(points1, points2, E, _mask);
return E;
return E;
}
int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, OutputArray _R,
OutputArray _t, double focal, Point2d pp, InputOutputArray _mask)
OutputArray _t, double focal, Point2d pp, InputOutputArray _mask)
{
Mat points1, points2;
_points1.getMat().copyTo(points1);
_points2.getMat().copyTo(points2);
int npoints = points1.checkVector(2);
Mat points1, points2;
_points1.getMat().copyTo(points1);
_points2.getMat().copyTo(points2);
int npoints = points1.checkVector(2);
CV_Assert( npoints >= 0 && points2.checkVector(2) == npoints &&
points1.type() == points2.type());
points1.type() == points2.type());
if (points1.channels() > 1)
{
points1 = points1.reshape(1, npoints);
points2 = points2.reshape(1, npoints);
}
points1.convertTo(points1, CV_64F);
points2.convertTo(points2, CV_64F);
if (points1.channels() > 1)
{
points1 = points1.reshape(1, npoints);
points2 = points2.reshape(1, npoints);
}
points1.convertTo(points1, CV_64F);
points2.convertTo(points2, CV_64F);
points1.col(0) = (points1.col(0) - pp.x) / focal;
points2.col(0) = (points2.col(0) - pp.x) / focal;
points1.col(1) = (points1.col(1) - pp.y) / focal;
points2.col(1) = (points2.col(1) - pp.y) / focal;
points1.col(0) = (points1.col(0) - pp.x) / focal;
points2.col(0) = (points2.col(0) - pp.x) / focal;
points1.col(1) = (points1.col(1) - pp.y) / focal;
points2.col(1) = (points2.col(1) - pp.y) / focal;
points1 = points1.t();
points2 = points2.t();
Mat R1, R2, t;
decomposeEssentialMat(E, R1, R2, t);
Mat P0 = Mat::eye(3, 4, R1.type());
Mat P1(3, 4, R1.type()), P2(3, 4, R1.type()), P3(3, 4, R1.type()), P4(3, 4, R1.type());
P1(Range::all(), Range(0, 3)) = R1 * 1.0; P1.col(3) = t * 1.0;
P2(Range::all(), Range(0, 3)) = R2 * 1.0; P2.col(3) = t * 1.0;
P3(Range::all(), Range(0, 3)) = R1 * 1.0; P3.col(3) = -t * 1.0;
P4(Range::all(), Range(0, 3)) = R2 * 1.0; P4.col(3) = -t * 1.0;
points1 = points1.t();
points2 = points2.t();
// Do the cheirality check.
// Notice here a threshold dist is used to filter
// out far away points (i.e. infinite points) since
// there depth may vary between postive and negtive.
double dist = 50.0;
Mat Q;
triangulatePoints(P0, P1, points1, points2, Q);
Mat mask1 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask1 = (Q.row(2) < dist) & mask1;
Q = P1 * Q;
mask1 = (Q.row(2) > 0) & mask1;
mask1 = (Q.row(2) < dist) & mask1;
Mat R1, R2, t;
decomposeEssentialMat(E, R1, R2, t);
Mat P0 = Mat::eye(3, 4, R1.type());
Mat P1(3, 4, R1.type()), P2(3, 4, R1.type()), P3(3, 4, R1.type()), P4(3, 4, R1.type());
P1(Range::all(), Range(0, 3)) = R1 * 1.0; P1.col(3) = t * 1.0;
P2(Range::all(), Range(0, 3)) = R2 * 1.0; P2.col(3) = t * 1.0;
P3(Range::all(), Range(0, 3)) = R1 * 1.0; P3.col(3) = -t * 1.0;
P4(Range::all(), Range(0, 3)) = R2 * 1.0; P4.col(3) = -t * 1.0;
triangulatePoints(P0, P2, points1, points2, Q);
Mat mask2 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask2 = (Q.row(2) < dist) & mask2;
Q = P2 * Q;
mask2 = (Q.row(2) > 0) & mask2;
mask2 = (Q.row(2) < dist) & mask2;
// Do the cheirality check.
// Notice here a threshold dist is used to filter
// out far away points (i.e. infinite points) since
// there depth may vary between postive and negtive.
double dist = 50.0;
Mat Q;
triangulatePoints(P0, P1, points1, points2, Q);
Mat mask1 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask1 = (Q.row(2) < dist) & mask1;
Q = P1 * Q;
mask1 = (Q.row(2) > 0) & mask1;
mask1 = (Q.row(2) < dist) & mask1;
triangulatePoints(P0, P3, points1, points2, Q);
Mat mask3 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask3 = (Q.row(2) < dist) & mask3;
Q = P3 * Q;
mask3 = (Q.row(2) > 0) & mask3;
mask3 = (Q.row(2) < dist) & mask3;
triangulatePoints(P0, P2, points1, points2, Q);
Mat mask2 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask2 = (Q.row(2) < dist) & mask2;
Q = P2 * Q;
mask2 = (Q.row(2) > 0) & mask2;
mask2 = (Q.row(2) < dist) & mask2;
triangulatePoints(P0, P4, points1, points2, Q);
Mat mask4 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask4 = (Q.row(2) < dist) & mask4;
Q = P4 * Q;
mask4 = (Q.row(2) > 0) & mask4;
mask4 = (Q.row(2) < dist) & mask4;
triangulatePoints(P0, P3, points1, points2, Q);
Mat mask3 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask3 = (Q.row(2) < dist) & mask3;
Q = P3 * Q;
mask3 = (Q.row(2) > 0) & mask3;
mask3 = (Q.row(2) < dist) & mask3;
// If _mask is given, then use it to filter outliers.
if (_mask.needed())
{
_mask.create(1, npoints, CV_8U, -1, true);
Mat mask = _mask.getMat();
bitwise_and(mask, mask1, mask1);
bitwise_and(mask, mask2, mask2);
bitwise_and(mask, mask3, mask3);
bitwise_and(mask, mask4, mask4);
}
triangulatePoints(P0, P4, points1, points2, Q);
Mat mask4 = Q.row(2).mul(Q.row(3)) > 0;
Q.row(0) /= Q.row(3);
Q.row(1) /= Q.row(3);
Q.row(2) /= Q.row(3);
Q.row(3) /= Q.row(3);
mask4 = (Q.row(2) < dist) & mask4;
Q = P4 * Q;
mask4 = (Q.row(2) > 0) & mask4;
mask4 = (Q.row(2) < dist) & mask4;
CV_Assert(_R.needed() && _t.needed());
_R.create(3, 3, R1.type());
_t.create(3, 1, t.type());
// If _mask is given, then use it to filter outliers.
if (_mask.needed())
{
_mask.create(1, npoints, CV_8U, -1, true);
Mat mask = _mask.getMat();
bitwise_and(mask, mask1, mask1);
bitwise_and(mask, mask2, mask2);
bitwise_and(mask, mask3, mask3);
bitwise_and(mask, mask4, mask4);
}
int good1 = countNonZero(mask1);
int good2 = countNonZero(mask2);
int good3 = countNonZero(mask3);
int good4 = countNonZero(mask4);
if (good1 >= good2 && good1 >= good3 && good1 >= good4)
{
R1.copyTo(_R);
t.copyTo(_t);
if (_mask.needed()) mask1.copyTo(_mask);
return good1;
}
else if (good2 >= good1 && good2 >= good3 && good2 >= good4)
{
R2.copyTo(_R);
t.copyTo(_t);
if (_mask.needed()) mask2.copyTo(_mask);
return good2;
}
else if (good3 >= good1 && good3 >= good2 && good3 >= good4)
{
t = -t;
CV_Assert(_R.needed() && _t.needed());
_R.create(3, 3, R1.type());
_t.create(3, 1, t.type());
int good1 = countNonZero(mask1);
int good2 = countNonZero(mask2);
int good3 = countNonZero(mask3);
int good4 = countNonZero(mask4);
if (good1 >= good2 && good1 >= good3 && good1 >= good4)
{
R1.copyTo(_R);
t.copyTo(_t);
if (_mask.needed()) mask3.copyTo(_mask);
return good3;
}
else
{
t = -t;
t.copyTo(_t);
if (_mask.needed()) mask1.copyTo(_mask);
return good1;
}
else if (good2 >= good1 && good2 >= good3 && good2 >= good4)
{
R2.copyTo(_R);
t.copyTo(_t);
if (_mask.needed()) mask4.copyTo(_mask);
return good4;
}
if (_mask.needed()) mask2.copyTo(_mask);
return good2;
}
else if (good3 >= good1 && good3 >= good2 && good3 >= good4)
{
t = -t;
R1.copyTo(_R);
t.copyTo(_t);
if (_mask.needed()) mask3.copyTo(_mask);
return good3;
}
else
{
t = -t;
R2.copyTo(_R);
t.copyTo(_t);
if (_mask.needed()) mask4.copyTo(_mask);
return good4;
}
}
void cv::decomposeEssentialMat( InputArray _E, OutputArray _R1, OutputArray _R2, OutputArray _t )
void cv::decomposeEssentialMat( InputArray _E, OutputArray _R1, OutputArray _R2, OutputArray _t )
{
Mat E = _E.getMat().reshape(1, 3);
CV_Assert(E.cols == 3 && E.rows == 3);
Mat D, U, Vt;
SVD::compute(E, D, U, Vt);
if (determinant(U) < 0) U *= -1.;
if (determinant(Vt) < 0) Vt *= -1.;
CV_Assert(E.cols == 3 && E.rows == 3);
Mat W = (Mat_<double>(3, 3) << 0, 1, 0, -1, 0, 0, 0, 0, 1);
W.convertTo(W, E.type());
Mat R1, R2, t;
R1 = U * W * Vt;
R2 = U * W.t() * Vt;
t = U.col(2) * 1.0;
Mat D, U, Vt;
SVD::compute(E, D, U, Vt);
if (determinant(U) < 0) U *= -1.;
if (determinant(Vt) < 0) Vt *= -1.;
Mat W = (Mat_<double>(3, 3) << 0, 1, 0, -1, 0, 0, 0, 0, 1);
W.convertTo(W, E.type());
Mat R1, R2, t;
R1 = U * W * Vt;
R2 = U * W.t() * Vt;
t = U.col(2) * 1.0;
R1.copyTo(_R1);
R2.copyTo(_R2);
modules/calib3d/src/precomp.hpp
+1 -7
View File
@@ -42,19 +42,13 @@
#ifndef __OPENCV_PRECOMP_H__
#define __OPENCV_PRECOMP_H__
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#include "opencv2/calib3d.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/features2d.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/core/internal.hpp"
#include <vector>
#include "opencv2/core/private.hpp"
#ifdef HAVE_TEGRA_OPTIMIZATION
#include "opencv2/calib3d/calib3d_tegra.hpp"
modules/calib3d/src/stereobm.cpp
+1 -1
View File
@@ -183,7 +183,7 @@ prefilterXSobel( const Mat& src, Mat& dst, int ftzero )
if( useSIMD )
{
__m128i z = _mm_setzero_si128(), ftz = _mm_set1_epi16((short)ftzero),
ftz2 = _mm_set1_epi8(CV_CAST_8U(ftzero*2));
ftz2 = _mm_set1_epi8(cv::saturate_cast<uchar>(ftzero*2));
for( ; x <= size.width-9; x += 8 )
{
__m128i c0 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow0 + x - 1)), z);
modules/calib3d/test/test_posit.cpp
+4 -4
View File
@@ -189,13 +189,13 @@ void CV_POSITTest::run( int start_from )
rotation->data.fl, translation->data.fl );
cvReleasePOSITObject( &object );
//Mat _rotation = cvarrToMat(rotation), _true_rotation = cvarrToMat(true_rotation);
//Mat _translation = cvarrToMat(translation), _true_translation = cvarrToMat(true_translation);
code = cvtest::cmpEps2( ts, rotation, true_rotation, flEpsilon, false, "rotation matrix" );
Mat _rotation = cvarrToMat(rotation), _true_rotation = cvarrToMat(true_rotation);
Mat _translation = cvarrToMat(translation), _true_translation = cvarrToMat(true_translation);
code = cvtest::cmpEps2( ts, _rotation, _true_rotation, flEpsilon, false, "rotation matrix" );
if( code < 0 )
break;
code = cvtest::cmpEps2( ts, translation, true_translation, flEpsilon, false, "translation vector" );
code = cvtest::cmpEps2( ts, _translation, _true_translation, flEpsilon, false, "translation vector" );
if( code < 0 )
break;
}
modules/calib3d/test/test_solvepnp_ransac.cpp
+4 -1
View File
@@ -41,7 +41,10 @@
//M*/
#include "test_precomp.hpp"
#include "opencv2/core/internal.hpp"
#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif
using namespace cv;
using namespace std;
modules/calib3d/test/test_stereomatching.cpp
+1
View File
@@ -48,6 +48,7 @@
#include "test_precomp.hpp"
#include <limits>
#include <cstdio>
#include <map>
using namespace std;
using namespace cv;
modules/calib3d/test/test_undistort.cpp
+9 -9
View File
@@ -491,7 +491,7 @@ void CV_UndistortPointsTest::distortPoints(const CvMat* _src, CvMat* _dst, const
__P = cvCreateMat(3,4,CV_64F);
if (matP)
{
cvTsConvert(matP,__P);
cvtest::convert(cvarrToMat(matP), cvarrToMat(__P), -1);
}
else
{
@@ -500,7 +500,7 @@ void CV_UndistortPointsTest::distortPoints(const CvMat* _src, CvMat* _dst, const
__P->data.db[4] = 1;
__P->data.db[8] = 1;
}
CvMat* __R = cvCreateMat(3,3,CV_64F);;
CvMat* __R = cvCreateMat(3,3,CV_64F);
if (matR)
{
cvCopy(matR,__R);
@@ -847,16 +847,16 @@ void CV_InitUndistortRectifyMapTest::prepare_to_validation(int/* test_case_idx*/
CvMat _input3 = test_mat[INPUT][3];
CvMat _input4 = test_mat[INPUT][4];
cvTsConvert(&_input1,&_camera);
cvTsConvert(&_input2,&_distort);
cvTsConvert(&_input3,&_rot);
cvTsConvert(&_input4,&_new_cam);
cvtest::convert(cvarrToMat(&_input1), cvarrToMat(&_camera), -1);
cvtest::convert(cvarrToMat(&_input2), cvarrToMat(&_distort), -1);
cvtest::convert(cvarrToMat(&_input3), cvarrToMat(&_rot), -1);
cvtest::convert(cvarrToMat(&_input4), cvarrToMat(&_new_cam), -1);
//Applying precalculated undistort rectify map
if (!useCPlus)
{
mapx = cv::Mat(_mapx);
mapy = cv::Mat(_mapy);
mapx = cv::cvarrToMat(_mapx);
mapy = cv::cvarrToMat(_mapy);
}
cv::Mat map1,map2;
cv::convertMaps(mapx,mapy,map1,map2,CV_32FC1);
@@ -876,7 +876,7 @@ void CV_InitUndistortRectifyMapTest::prepare_to_validation(int/* test_case_idx*/
zero_distortion ? 0 : &_distort, zero_R ? 0 : &_rot, zero_new_cam ? &_camera : &_new_cam);
//cvTsDistortPoints(&_points,&ref_points,&_camera,&_distort,&_rot,&_new_cam);
CvMat dst = test_mat[REF_OUTPUT][0];
cvTsConvert(&ref_points,&dst);
cvtest::convert(cvarrToMat(&ref_points), cvarrToMat(&dst), -1);
cvtest::copy(test_mat[INPUT][0],test_mat[OUTPUT][0]);
modules/calib3d/test/test_undistort_badarg.cpp
+27 -27
View File
@@ -243,27 +243,27 @@ void CV_UndistortPointsBadArgTest::run(int)
//C++ tests
useCPlus = true;
camera_mat = cv::Mat(&_camera_mat_orig);
distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
P = cv::Mat(&_P_orig);
R = cv::Mat(&_R_orig);
src_points = cv::Mat(&_src_points_orig);
camera_mat = cv::cvarrToMat(&_camera_mat_orig);
distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
P = cv::cvarrToMat(&_P_orig);
R = cv::cvarrToMat(&_R_orig);
src_points = cv::cvarrToMat(&_src_points_orig);
temp = cvCreateMat(2,2,CV_32FC2);
src_points = cv::Mat(temp);
src_points = cv::cvarrToMat(temp);
errcount += run_test_case( CV_StsAssert, "Invalid input data matrix size" );
src_points = cv::Mat(&_src_points_orig);
src_points = cv::cvarrToMat(&_src_points_orig);
cvReleaseMat(&temp);
temp = cvCreateMat(1,4,CV_64FC2);
src_points = cv::Mat(temp);
src_points = cv::cvarrToMat(temp);
errcount += run_test_case( CV_StsAssert, "Invalid input data matrix type" );
src_points = cv::Mat(&_src_points_orig);
src_points = cv::cvarrToMat(&_src_points_orig);
cvReleaseMat(&temp);
src_points = cv::Mat();
errcount += run_test_case( CV_StsAssert, "Input data matrix is not continuous" );
src_points = cv::Mat(&_src_points_orig);
src_points = cv::cvarrToMat(&_src_points_orig);
cvReleaseMat(&temp);
@@ -360,12 +360,12 @@ void CV_InitUndistortRectifyMapBadArgTest::run(int)
//C++ tests
useCPlus = true;
camera_mat = cv::Mat(&_camera_mat_orig);
distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
new_camera_mat = cv::Mat(&_new_camera_mat_orig);
R = cv::Mat(&_R_orig);
mapx = cv::Mat(&_mapx_orig);
mapy = cv::Mat(&_mapy_orig);
camera_mat = cv::cvarrToMat(&_camera_mat_orig);
distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig);
R = cv::cvarrToMat(&_R_orig);
mapx = cv::cvarrToMat(&_mapx_orig);
mapy = cv::cvarrToMat(&_mapy_orig);
mat_type = CV_64F;
@@ -373,21 +373,21 @@ void CV_InitUndistortRectifyMapBadArgTest::run(int)
mat_type = mat_type_orig;
temp = cvCreateMat(3,2,CV_32FC1);
camera_mat = cv::Mat(temp);
camera_mat = cv::cvarrToMat(temp);
errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" );
camera_mat = cv::Mat(&_camera_mat_orig);
camera_mat = cv::cvarrToMat(&_camera_mat_orig);
cvReleaseMat(&temp);
temp = cvCreateMat(4,3,CV_32FC1);
R = cv::Mat(temp);
R = cv::cvarrToMat(temp);
errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" );
R = cv::Mat(&_R_orig);
R = cv::cvarrToMat(&_R_orig);
cvReleaseMat(&temp);
temp = cvCreateMat(6,1,CV_32FC1);
distortion_coeffs = cv::Mat(temp);
distortion_coeffs = cv::cvarrToMat(temp);
errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" );
distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
cvReleaseMat(&temp);
//------------
@@ -499,11 +499,11 @@ void CV_UndistortBadArgTest::run(int)
//C++ tests
useCPlus = true;
camera_mat = cv::Mat(&_camera_mat_orig);
distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
new_camera_mat = cv::Mat(&_new_camera_mat_orig);
src = cv::Mat(&_src_orig);
dst = cv::Mat(&_dst_orig);
camera_mat = cv::cvarrToMat(&_camera_mat_orig);
distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig);
src = cv::cvarrToMat(&_src_orig);
dst = cv::cvarrToMat(&_dst_orig);
//------------
delete[] arr_src;
modules/contrib/include/opencv2/contrib.hpp
+2
View File
@@ -48,6 +48,8 @@
#include "opencv2/features2d.hpp"
#include "opencv2/objdetect.hpp"
#include <ostream>
#ifdef __cplusplus
/****************************************************************************************\
modules/contrib/src/ba.cpp
+7 -6
View File
@@ -359,7 +359,7 @@ void LevMarqSparse::ask_for_proj(CvMat &/*_vis*/,bool once) {
cvGetSubRect( P, &cam_mat, cvRect( 0, j * num_cam_param, 1, num_cam_param ));
CvMat measur_mat;
cvGetSubRect( hX, &measur_mat, cvRect( 0, ind * num_err_param, 1, num_err_param ));
Mat _point_mat(&point_mat), _cam_mat(&cam_mat), _measur_mat(&measur_mat);
Mat _point_mat = cv::cvarrToMat(&point_mat), _cam_mat = cv::cvarrToMat(&cam_mat), _measur_mat = cv::cvarrToMat(&measur_mat);
func( i, j, _point_mat, _cam_mat, _measur_mat, data);
assert( ind*num_err_param == ((int*)(Vis_index->data.ptr + i * Vis_index->step))[j]);
ind+=1;
@@ -398,7 +398,7 @@ void LevMarqSparse::ask_for_projac(CvMat &/*_vis*/) //should be evaluated at p
//CvMat* Bij = B_line[j];
//CvMat* Bij = ((CvMat**)(B->data.ptr + B->step * i))[j];
Mat _point_mat(&point_mat), _cam_mat(&cam_mat), _Aij(Aij), _Bij(Bij);
Mat _point_mat = cv::cvarrToMat(&point_mat), _cam_mat = cv::cvarrToMat(&cam_mat), _Aij = cv::cvarrToMat(Aij), _Bij = cv::cvarrToMat(Bij);
(*fjac)(i, j, _point_mat, _cam_mat, _Aij, _Bij, data);
}
}
@@ -1100,16 +1100,17 @@ void LevMarqSparse::bundleAdjust( std::vector<Point3d>& points, //positions of p
}
//fill camera params
//R.clear();T.clear();cameraMatrix.clear();
Mat levmarP = cv::cvarrToMat(levmar.P);
for( int i = 0; i < num_cameras; i++ ) {
//rotation
Mat rot_vec = Mat(levmar.P).rowRange(i*num_cam_param, i*num_cam_param+3);
Mat rot_vec = levmarP.rowRange(i*num_cam_param, i*num_cam_param+3);
Rodrigues( rot_vec, R[i] );
//translation
T[i] = Mat(levmar.P).rowRange(i*num_cam_param + 3, i*num_cam_param+6);
T[i] = levmarP.rowRange(i*num_cam_param + 3, i*num_cam_param+6);
//intrinsic camera matrix
double* intr_data = (double*)cameraMatrix[i].data;
double* intr = (double*)(Mat(levmar.P).data + Mat(levmar.P).step * (i*num_cam_param+6));
double* intr = (double*)(levmarP.data +levmarP.step * (i*num_cam_param+6));
//focals
intr_data[0] = intr[0]; //fx
intr_data[4] = intr[1]; //fy
@@ -1119,7 +1120,7 @@ void LevMarqSparse::bundleAdjust( std::vector<Point3d>& points, //positions of p
//add distortion if exists
if( distCoeffs.size() ) {
Mat(levmar.P).rowRange(i*num_cam_param + 10, i*num_cam_param+10+numdist).copyTo(distCoeffs[i]);
levmarP.rowRange(i*num_cam_param + 10, i*num_cam_param+10+numdist).copyTo(distCoeffs[i]);
}
}
}
modules/contrib/src/precomp.hpp
+2 -6
View File
@@ -43,18 +43,14 @@
#ifndef __OPENCV_PRECOMP_H__
#define __OPENCV_PRECOMP_H__
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#include "opencv2/contrib.hpp"
#include "opencv2/features2d.hpp"
#include "opencv2/objdetect.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/core/utility.hpp"
#include "opencv2/core/internal.hpp"
#include "opencv2/core/private.hpp"
namespace cv
{
modules/contrib/src/retina.cpp
+1
View File
@@ -71,6 +71,7 @@
#include "precomp.hpp"
#include "retinafilter.hpp"
#include <cstdio>
#include <sstream>
namespace cv
{
modules/contrib/src/rgbdodometry.cpp
-1
View File
@@ -54,7 +54,6 @@
#include <iostream>
#include <limits>
#include "opencv2/core/internal.hpp"
#if defined(HAVE_EIGEN) && EIGEN_WORLD_VERSION == 3
# ifdef ANDROID
template <typename Scalar> Scalar log2(Scalar v) { return std::log(v)/std::log(Scalar(2)); }
modules/core/doc/basic_structures.rst
+3 -43
View File
@@ -175,7 +175,6 @@ The class represents rotated (i.e. not up-right) rectangles on a plane. Each rec
.. ocv:function:: RotatedRect::RotatedRect()
.. ocv:function:: RotatedRect::RotatedRect(const Point2f& center, const Size2f& size, float angle)
.. ocv:function:: RotatedRect::RotatedRect(const CvBox2D& box)
:param center: The rectangle mass center.
:param size: Width and height of the rectangle.
@@ -184,7 +183,6 @@ The class represents rotated (i.e. not up-right) rectangles on a plane. Each rec
.. ocv:function:: void RotatedRect::points( Point2f pts[] ) const
.. ocv:function:: Rect RotatedRect::boundingRect() const
.. ocv:function:: RotatedRect::operator CvBox2D() const
:param pts: The points array for storing rectangle vertices.
@@ -229,8 +227,6 @@ The constructors.
.. ocv:function:: TermCriteria::TermCriteria(int type, int maxCount, double epsilon)
.. ocv:function:: TermCriteria::TermCriteria(const CvTermCriteria& criteria)
:param type: The type of termination criteria: ``TermCriteria::COUNT``, ``TermCriteria::EPS`` or ``TermCriteria::COUNT`` + ``TermCriteria::EPS``.
:param maxCount: The maximum number of iterations or elements to compute.
@@ -239,11 +235,6 @@ The constructors.
:param criteria: Termination criteria in the deprecated ``CvTermCriteria`` format.
TermCriteria::operator CvTermCriteria
-------------------------------------
Converts to the deprecated ``CvTermCriteria`` format.
.. ocv:function:: TermCriteria::operator CvTermCriteria() const
Matx
----
@@ -429,13 +420,14 @@ The keypoint constructors
DMatch
------
.. ocv:struct:: DMatch
.. ocv:class:: DMatch
Class for matching keypoint descriptors: query descriptor index,
train descriptor index, train image index, and distance between descriptors. ::
struct DMatch
class DMatch
{
public:
DMatch() : queryIdx(-1), trainIdx(-1), imgIdx(-1),
distance(std::numeric_limits<float>::max()) {}
DMatch( int _queryIdx, int _trainIdx, float _distance ) :
@@ -1000,10 +992,6 @@ Various Mat constructors
.. ocv:function:: Mat::Mat(const Mat& m, const Rect& roi)
.. ocv:function:: Mat::Mat(const CvMat* m, bool copyData=false)
.. ocv:function:: Mat::Mat(const IplImage* img, bool copyData=false)
.. ocv:function:: template<typename T, int n> explicit Mat::Mat(const Vec<T, n>& vec, bool copyData=true)
.. ocv:function:: template<typename T, int m, int n> explicit Mat::Mat(const Matx<T, m, n>& vec, bool copyData=true)
@@ -1641,33 +1629,6 @@ The operators make a new header for the specified sub-array of ``*this`` . They
:ocv:func:`Mat::colRange` . For example, ``A(Range(0, 10), Range::all())`` is equivalent to ``A.rowRange(0, 10)`` . Similarly to all of the above, the operators are O(1) operations, that is, no matrix data is copied.
Mat::operator CvMat
-------------------
Creates the ``CvMat`` header for the matrix.
.. ocv:function:: Mat::operator CvMat() const
The operator creates the ``CvMat`` header for the matrix without copying the underlying data. The reference counter is not taken into account by this operation. Thus, you should make sure than the original matrix is not deallocated while the ``CvMat`` header is used. The operator is useful for intermixing the new and the old OpenCV API's, for example: ::
Mat img(Size(320, 240), CV_8UC3);
...
CvMat cvimg = img;
mycvOldFunc( &cvimg, ...);
where ``mycvOldFunc`` is a function written to work with OpenCV 1.x data structures.
Mat::operator IplImage
----------------------
Creates the ``IplImage`` header for the matrix.
.. ocv:function:: Mat::operator IplImage() const
The operator creates the ``IplImage`` header for the matrix without copying the underlying data. You should make sure than the original matrix is not deallocated while the ``IplImage`` header is used. Similarly to ``Mat::operator CvMat`` , the operator is useful for intermixing the new and the old OpenCV API's.
Mat::total
----------
Returns the total number of array elements.
@@ -2242,7 +2203,6 @@ Various SparseMat constructors.
.. ocv:function:: SparseMat::SparseMat( int dims, const int* _sizes, int _type )
.. ocv:function:: SparseMat::SparseMat( const SparseMat& m )
.. ocv:function:: SparseMat::SparseMat( const Mat& m )
.. ocv:function:: SparseMat::SparseMat( const CvSparseMat* m )
:param m: Source matrix for copy constructor. If m is dense matrix (ocv:class:`Mat`) then it will be converted to sparse representation.
modules/core/doc/operations_on_arrays.rst
+1 -1
View File
@@ -1838,7 +1838,7 @@ minMaxIdx
---------
Finds the global minimum and maximum in an array
.. ocv:function:: void minMaxIdx(InputArray src, double* minVal, double* maxVal, int* minIdx=0, int* maxIdx=0, InputArray mask=noArray())
.. ocv:function:: void minMaxIdx(InputArray src, double* minVal, double* maxVal = 0, int* minIdx=0, int* maxIdx=0, InputArray mask=noArray())
:param src: input single-channel array.
modules/core/include/opencv2/core.hpp
+430 -3686
View File
File diff suppressed because it is too large Load Diff
modules/core/include/opencv2/core/affine.hpp
+121 -73
View File
@@ -1,44 +1,45 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2008-2013, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and / or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_CORE_AFFINE3_HPP__
#define __OPENCV_CORE_AFFINE3_HPP__
@@ -119,24 +120,36 @@ namespace cv
#endif
};
template<typename T> Affine3<T> operator*(const Affine3<T>& affine1, const Affine3<T>& affine2);
template<typename T, typename V> V operator*(const Affine3<T>& affine, const V& vector);
template<typename T> static
Affine3<T> operator*(const Affine3<T>& affine1, const Affine3<T>& affine2);
template<typename T, typename V> static
V operator*(const Affine3<T>& affine, const V& vector);
typedef Affine3<float> Affine3f;
typedef Affine3<double> Affine3d;
cv::Vec3f operator*(const cv::Affine3f& affine, const cv::Vec3f& vector);
cv::Vec3d operator*(const cv::Affine3d& affine, const cv::Vec3d& vector);
static cv::Vec3f operator*(const cv::Affine3f& affine, const cv::Vec3f& vector);
static cv::Vec3d operator*(const cv::Affine3d& affine, const cv::Vec3d& vector);
}
///////////////////////////////////////////////////////////////////////////////////
/// Implementaiton
template<typename T> inline cv::Affine3<T>::Affine3() : matrix(Mat4::eye()) {}
template<typename T> inline cv::Affine3<T>::Affine3(const Mat4& affine) : matrix(affine) {}
template<typename T> inline
cv::Affine3<T>::Affine3()
: matrix(Mat4::eye())
{}
template<typename T> inline cv::Affine3<T>::Affine3(const Mat3& R, const Vec3& t)
template<typename T> inline
cv::Affine3<T>::Affine3(const Mat4& affine)
: matrix(affine)
{}
template<typename T> inline
cv::Affine3<T>::Affine3(const Mat3& R, const Vec3& t)
{
rotation(R);
translation(t);
@@ -144,7 +157,8 @@ template<typename T> inline cv::Affine3<T>::Affine3(const Mat3& R, const Vec3& t
matrix.val[15] = 1;
}
template<typename T> inline cv::Affine3<T>::Affine3(const Vec3& rvec, const Vec3& t)
template<typename T> inline
cv::Affine3<T>::Affine3(const Vec3& rvec, const Vec3& t)
{
rotation(rvec);
translation(t);
@@ -152,7 +166,8 @@ template<typename T> inline cv::Affine3<T>::Affine3(const Vec3& rvec, const Vec3
matrix.val[15] = 1;
}
template<typename T> inline cv::Affine3<T>::Affine3(const cv::Mat& data, const Vec3& t)
template<typename T> inline
cv::Affine3<T>::Affine3(const cv::Mat& data, const Vec3& t)
{
CV_Assert(data.type() == cv::DataType<T>::type);
@@ -168,7 +183,8 @@ template<typename T> inline cv::Affine3<T>::Affine3(const cv::Mat& data, const V
matrix.val[15] = 1;
}
template<typename T> inline cv::Affine3<T>::Affine3(float_type alpha, float_type beta, float_type gamma, const Vec3& t)
template<typename T> inline
cv::Affine3<T>::Affine3(float_type alpha, float_type beta, float_type gamma, const Vec3& t)
{
rotation(alpha, beta, gamma);
translation(t);
@@ -176,14 +192,20 @@ template<typename T> inline cv::Affine3<T>::Affine3(float_type alpha, float_type
matrix.val[15] = 1;
}
template<typename T> inline cv::Affine3<T> cv::Affine3<T>::Identity()
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::Identity()
{
return Affine3<T>(cv::Affine3<T>::Mat4::eye());
}
template<typename T> inline void cv::Affine3<T>::rotation(const Mat3& R) { linear(R); }
template<typename T> inline
void cv::Affine3<T>::rotation(const Mat3& R)
{
linear(R);
}
template<typename T> inline void cv::Affine3<T>::rotation(const Vec3& rvec)
template<typename T> inline
void cv::Affine3<T>::rotation(const Vec3& rvec)
{
double rx = rvec[0], ry = rvec[1], rz = rvec[2];
double theta = std::sqrt(rx*rx + ry*ry + rz*rz);
@@ -215,7 +237,8 @@ template<typename T> inline void cv::Affine3<T>::rotation(const Vec3& rvec)
}
//Combines rotation methods above. Suports 3x3, 1x3, 3x1 sizes of data matrix;
template<typename T> inline void cv::Affine3<T>::rotation(const cv::Mat& data)
template<typename T> inline
void cv::Affine3<T>::rotation(const cv::Mat& data)
{
CV_Assert(data.type() == cv::DataType<T>::type);
@@ -235,25 +258,34 @@ template<typename T> inline void cv::Affine3<T>::rotation(const cv::Mat& data)
CV_Assert(!"Input marix can be 3x3, 1x3 or 3x1");
}
template<typename T> inline void cv::Affine3<T>::rotation(float_type alpha, float_type beta, float_type gamma)
template<typename T> inline
void cv::Affine3<T>::rotation(float_type alpha, float_type beta, float_type gamma)
{
rotation(Vec3(alpha, beta, gamma));
}
template<typename T> inline void cv::Affine3<T>::linear(const Mat3& L)
template<typename T> inline
void cv::Affine3<T>::linear(const Mat3& L)
{
matrix.val[0] = L.val[0]; matrix.val[1] = L.val[1]; matrix.val[ 2] = L.val[2];
matrix.val[4] = L.val[3]; matrix.val[5] = L.val[4]; matrix.val[ 6] = L.val[5];
matrix.val[8] = L.val[6]; matrix.val[9] = L.val[7]; matrix.val[10] = L.val[8];
}
template<typename T> inline void cv::Affine3<T>::translation(const Vec3& t)
template<typename T> inline
void cv::Affine3<T>::translation(const Vec3& t)
{
matrix.val[3] = t[0]; matrix.val[7] = t[1]; matrix.val[11] = t[2];
}
template<typename T> inline typename cv::Affine3<T>::Mat3 cv::Affine3<T>::rotation() const { return linear(); }
template<typename T> inline typename cv::Affine3<T>::Mat3 cv::Affine3<T>::linear() const
template<typename T> inline
typename cv::Affine3<T>::Mat3 cv::Affine3<T>::rotation() const
{
return linear();
}
template<typename T> inline
typename cv::Affine3<T>::Mat3 cv::Affine3<T>::linear() const
{
typename cv::Affine3<T>::Mat3 R;
R.val[0] = matrix.val[0]; R.val[1] = matrix.val[1]; R.val[2] = matrix.val[ 2];
@@ -262,17 +294,20 @@ template<typename T> inline typename cv::Affine3<T>::Mat3 cv::Affine3<T>::linear
return R;
}
template<typename T> inline typename cv::Affine3<T>::Vec3 cv::Affine3<T>::translation() const
template<typename T> inline
typename cv::Affine3<T>::Vec3 cv::Affine3<T>::translation() const
{
return Vec3(matrix.val[3], matrix.val[7], matrix.val[11]);
}
template<typename T> inline cv::Affine3<T> cv::Affine3<T>::inv(int method) const
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::inv(int method) const
{
return matrix.inv(method);
}
template<typename T> inline cv::Affine3<T> cv::Affine3<T>::rotate(const Mat3& R) const
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::rotate(const Mat3& R) const
{
Mat3 Lc = linear();
Vec3 tc = translation();
@@ -295,7 +330,8 @@ template<typename T> inline cv::Affine3<T> cv::Affine3<T>::rotate(const Mat3& R)
return result;
}
template<typename T> inline cv::Affine3<T> cv::Affine3<T>::translate(const Vec3& t) const
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::translate(const Vec3& t) const
{
Mat4 m = matrix;
m.val[ 3] += t[0];
@@ -304,22 +340,26 @@ template<typename T> inline cv::Affine3<T> cv::Affine3<T>::translate(const Vec3&
return m;
}
template<typename T> inline cv::Affine3<T> cv::Affine3<T>::concatenate(const Affine3<T>& affine) const
template<typename T> inline
cv::Affine3<T> cv::Affine3<T>::concatenate(const Affine3<T>& affine) const
{
return (*this).rotate(affine.rotation()).translate(affine.translation());
}
template<typename T> template <typename Y> inline cv::Affine3<T>::operator Affine3<Y>() const
template<typename T> template <typename Y> inline
cv::Affine3<T>::operator Affine3<Y>() const
{
return Affine3<Y>(matrix);
}
template<typename T> inline cv::Affine3<T> cv::operator*(const cv::Affine3<T>& affine1, const cv::Affine3<T>& affine2)
template<typename T> inline
cv::Affine3<T> cv::operator*(const cv::Affine3<T>& affine1, const cv::Affine3<T>& affine2)
{
return affine2.concatenate(affine1);
}
template<typename T, typename V> inline V cv::operator*(const cv::Affine3<T>& affine, const V& v)
template<typename T, typename V> inline
V cv::operator*(const cv::Affine3<T>& affine, const V& v)
{
const typename Affine3<T>::Mat4& m = affine.matrix;
@@ -330,7 +370,8 @@ template<typename T, typename V> inline V cv::operator*(const cv::Affine3<T>& af
return r;
}
inline cv::Vec3f cv::operator*(const cv::Affine3f& affine, const cv::Vec3f& v)
static inline
cv::Vec3f cv::operator*(const cv::Affine3f& affine, const cv::Vec3f& v)
{
const cv::Matx44f& m = affine.matrix;
cv::Vec3f r;
@@ -340,7 +381,8 @@ inline cv::Vec3f cv::operator*(const cv::Affine3f& affine, const cv::Vec3f& v)
return r;
}
inline cv::Vec3d cv::operator*(const cv::Affine3d& affine, const cv::Vec3d& v)
static inline
cv::Vec3d cv::operator*(const cv::Affine3d& affine, const cv::Vec3d& v)
{
const cv::Matx44d& m = affine.matrix;
cv::Vec3d r;
@@ -350,20 +392,25 @@ inline cv::Vec3d cv::operator*(const cv::Affine3d& affine, const cv::Vec3d& v)
return r;
}
#if defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H
template<typename T> inline cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>& affine)
template<typename T> inline
cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>& affine)
{
cv::Mat(4, 4, cv::DataType<T>::type, affine.matrix().data()).copyTo(matrix);
}
template<typename T> inline cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine>& affine)
template<typename T> inline
cv::Affine3<T>::Affine3(const Eigen::Transform<T, 3, Eigen::Affine>& affine)
{
Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)> a = affine;
cv::Mat(4, 4, cv::DataType<T>::type, a.matrix().data()).copyTo(matrix);
}
template<typename T> inline cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>() const
template<typename T> inline
cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>() const
{
Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)> r;
cv::Mat hdr(4, 4, cv::DataType<T>::type, r.matrix().data());
@@ -371,7 +418,8 @@ template<typename T> inline cv::Affine3<T>::operator Eigen::Transform<T, 3, Eige
return r;
}
template<typename T> inline cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine>() const
template<typename T> inline
cv::Affine3<T>::operator Eigen::Transform<T, 3, Eigen::Affine>() const
{
return this->operator Eigen::Transform<T, 3, Eigen::Affine, (Eigen::RowMajor)>();
}
modules/core/include/opencv2/core/base.hpp
+485
View File
@@ -0,0 +1,485 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_CORE_BASE_HPP__
#define __OPENCV_CORE_BASE_HPP__
#ifndef __cplusplus
# error base.hpp header must be compiled as C++
#endif
#include <climits>
#include "opencv2/core/cvdef.h"
#include "opencv2/core/cvstd.hpp"
namespace cv
{
// error codes
namespace Error {
enum {
StsOk= 0, /* everithing is ok */
StsBackTrace= -1, /* pseudo error for back trace */
StsError= -2, /* unknown /unspecified error */
StsInternal= -3, /* internal error (bad state) */
StsNoMem= -4, /* insufficient memory */
StsBadArg= -5, /* function arg/param is bad */
StsBadFunc= -6, /* unsupported function */
StsNoConv= -7, /* iter. didn't converge */
StsAutoTrace= -8, /* tracing */
HeaderIsNull= -9, /* image header is NULL */
BadImageSize= -10, /* image size is invalid */
BadOffset= -11, /* offset is invalid */
BadDataPtr= -12, /**/
BadStep= -13, /**/
BadModelOrChSeq= -14, /**/
BadNumChannels= -15, /**/
BadNumChannel1U= -16, /**/
BadDepth= -17, /**/
BadAlphaChannel= -18, /**/
BadOrder= -19, /**/
BadOrigin= -20, /**/
BadAlign= -21, /**/
BadCallBack= -22, /**/
BadTileSize= -23, /**/
BadCOI= -24, /**/
BadROISize= -25, /**/
MaskIsTiled= -26, /**/
StsNullPtr= -27, /* null pointer */
StsVecLengthErr= -28, /* incorrect vector length */
StsFilterStructContentErr= -29, /* incorr. filter structure content */
StsKernelStructContentErr= -30, /* incorr. transform kernel content */
StsFilterOffsetErr= -31, /* incorrect filter ofset value */
StsBadSize= -201, /* the input/output structure size is incorrect */
StsDivByZero= -202, /* division by zero */
StsInplaceNotSupported= -203, /* in-place operation is not supported */
StsObjectNotFound= -204, /* request can't be completed */
StsUnmatchedFormats= -205, /* formats of input/output arrays differ */
StsBadFlag= -206, /* flag is wrong or not supported */
StsBadPoint= -207, /* bad CvPoint */
StsBadMask= -208, /* bad format of mask (neither 8uC1 nor 8sC1)*/
StsUnmatchedSizes= -209, /* sizes of input/output structures do not match */
StsUnsupportedFormat= -210, /* the data format/type is not supported by the function*/
StsOutOfRange= -211, /* some of parameters are out of range */
StsParseError= -212, /* invalid syntax/structure of the parsed file */
StsNotImplemented= -213, /* the requested function/feature is not implemented */
StsBadMemBlock= -214, /* an allocated block has been corrupted */
StsAssert= -215, /* assertion failed */
GpuNotSupported= -216,
GpuApiCallError= -217,
OpenGlNotSupported= -218,
OpenGlApiCallError= -219
};
} //Error
// matrix decomposition types
enum { DECOMP_LU = 0,
DECOMP_SVD = 1,
DECOMP_EIG = 2,
DECOMP_CHOLESKY = 3,
DECOMP_QR = 4,
DECOMP_NORMAL = 16
};
// norm types
enum { NORM_INF = 1,
NORM_L1 = 2,
NORM_L2 = 4,
NORM_L2SQR = 5,
NORM_HAMMING = 6,
NORM_HAMMING2 = 7,
NORM_TYPE_MASK = 7,
NORM_RELATIVE = 8,
NORM_MINMAX = 32
};
// comparison types
enum { CMP_EQ = 0,
CMP_GT = 1,
CMP_GE = 2,
CMP_LT = 3,
CMP_LE = 4,
CMP_NE = 5
};
enum { GEMM_1_T = 1,
GEMM_2_T = 2,
GEMM_3_T = 4
};
enum { DFT_INVERSE = 1,
DFT_SCALE = 2,
DFT_ROWS = 4,
DFT_COMPLEX_OUTPUT = 16,
DFT_REAL_OUTPUT = 32,
DCT_INVERSE = DFT_INVERSE,
DCT_ROWS = DFT_ROWS
};
//////////////// static assert /////////////////
#define CVAUX_CONCAT_EXP(a, b) a##b
#define CVAUX_CONCAT(a, b) CVAUX_CONCAT_EXP(a,b)
#if defined(__clang__)
# ifndef __has_extension
# define __has_extension __has_feature /* compatibility, for older versions of clang */
# endif
# if __has_extension(cxx_static_assert)
# define CV_StaticAssert(condition, reason) static_assert((condition), reason " " #condition)
# endif
#elif defined(__GNUC__)
# if (defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L)
# define CV_StaticAssert(condition, reason) static_assert((condition), reason " " #condition)
# endif
#elif defined(_MSC_VER)
# if _MSC_VER >= 1600 /* MSVC 10 */
# define CV_StaticAssert(condition, reason) static_assert((condition), reason " " #condition)
# endif
#endif
#ifndef CV_StaticAssert
# if defined(__GNUC__) && (__GNUC__ > 3) && (__GNUC_MINOR__ > 2)
# define CV_StaticAssert(condition, reason) ({ extern int __attribute__((error("CV_StaticAssert: " reason " " #condition))) CV_StaticAssert(); ((condition) ? 0 : CV_StaticAssert()); })
# else
template <bool x> struct CV_StaticAssert_failed;
template <> struct CV_StaticAssert_failed<true> { enum { val = 1 }; };
template<int x> struct CV_StaticAssert_test {};
# define CV_StaticAssert(condition, reason)\
typedef cv::CV_StaticAssert_test< sizeof(cv::CV_StaticAssert_failed< static_cast<bool>(condition) >) > CVAUX_CONCAT(CV_StaticAssert_failed_at_, __LINE__)
# endif
#endif
//! Signals an error and raises the exception.
/*!
By default the function prints information about the error to stderr,
then it either stops if setBreakOnError() had been called before or raises the exception.
It is possible to alternate error processing by using redirectError().
\param exc the exception raisen.
*/
CV_EXPORTS void error(int _code, const String& _err, const char* _func, const char* _file, int _line);
#ifdef __GNUC__
# define CV_Error( code, msg ) cv::error( code, msg, __func__, __FILE__, __LINE__ )
# define CV_Error_( code, args ) cv::error( code, cv::format args, __func__, __FILE__, __LINE__ )
# define CV_Assert( expr ) if(!!(expr)) ; else cv::error( cv::Error::StsAssert, #expr, __func__, __FILE__, __LINE__ )
#else
# define CV_Error( code, msg ) cv::error( code, msg, "", __FILE__, __LINE__ )
# define CV_Error_( code, args ) cv::error( code, cv::format args, "", __FILE__, __LINE__ )
# define CV_Assert( expr ) if(!!(expr)) ; else cv::error( cv::Error::StsAssert, #expr, "", __FILE__, __LINE__ )
#endif
#ifdef _DEBUG
# define CV_DbgAssert(expr) CV_Assert(expr)
#else
# define CV_DbgAssert(expr)
#endif
/////////////// saturate_cast (used in image & signal processing) ///////////////////
template<typename _Tp> static inline _Tp saturate_cast(uchar v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(schar v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(ushort v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(short v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(unsigned v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(int v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(float v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(double v) { return _Tp(v); }
template<> inline uchar saturate_cast<uchar>(schar v) { return (uchar)std::max((int)v, 0); }
template<> inline uchar saturate_cast<uchar>(ushort v) { return (uchar)std::min((unsigned)v, (unsigned)UCHAR_MAX); }
template<> inline uchar saturate_cast<uchar>(int v) { return (uchar)((unsigned)v <= UCHAR_MAX ? v : v > 0 ? UCHAR_MAX : 0); }
template<> inline uchar saturate_cast<uchar>(short v) { return saturate_cast<uchar>((int)v); }
template<> inline uchar saturate_cast<uchar>(unsigned v) { return (uchar)std::min(v, (unsigned)UCHAR_MAX); }
template<> inline uchar saturate_cast<uchar>(float v) { int iv = cvRound(v); return saturate_cast<uchar>(iv); }
template<> inline uchar saturate_cast<uchar>(double v) { int iv = cvRound(v); return saturate_cast<uchar>(iv); }
template<> inline schar saturate_cast<schar>(uchar v) { return (schar)std::min((int)v, SCHAR_MAX); }
template<> inline schar saturate_cast<schar>(ushort v) { return (schar)std::min((unsigned)v, (unsigned)SCHAR_MAX); }
template<> inline schar saturate_cast<schar>(int v) { return (schar)((unsigned)(v-SCHAR_MIN) <= (unsigned)UCHAR_MAX ? v : v > 0 ? SCHAR_MAX : SCHAR_MIN); }
template<> inline schar saturate_cast<schar>(short v) { return saturate_cast<schar>((int)v); }
template<> inline schar saturate_cast<schar>(unsigned v) { return (schar)std::min(v, (unsigned)SCHAR_MAX); }
template<> inline schar saturate_cast<schar>(float v) { int iv = cvRound(v); return saturate_cast<schar>(iv); }
template<> inline schar saturate_cast<schar>(double v) { int iv = cvRound(v); return saturate_cast<schar>(iv); }
template<> inline ushort saturate_cast<ushort>(schar v) { return (ushort)std::max((int)v, 0); }
template<> inline ushort saturate_cast<ushort>(short v) { return (ushort)std::max((int)v, 0); }
template<> inline ushort saturate_cast<ushort>(int v) { return (ushort)((unsigned)v <= (unsigned)USHRT_MAX ? v : v > 0 ? USHRT_MAX : 0); }
template<> inline ushort saturate_cast<ushort>(unsigned v) { return (ushort)std::min(v, (unsigned)USHRT_MAX); }
template<> inline ushort saturate_cast<ushort>(float v) { int iv = cvRound(v); return saturate_cast<ushort>(iv); }
template<> inline ushort saturate_cast<ushort>(double v) { int iv = cvRound(v); return saturate_cast<ushort>(iv); }
template<> inline short saturate_cast<short>(ushort v) { return (short)std::min((int)v, SHRT_MAX); }
template<> inline short saturate_cast<short>(int v) { return (short)((unsigned)(v - SHRT_MIN) <= (unsigned)USHRT_MAX ? v : v > 0 ? SHRT_MAX : SHRT_MIN); }
template<> inline short saturate_cast<short>(unsigned v) { return (short)std::min(v, (unsigned)SHRT_MAX); }
template<> inline short saturate_cast<short>(float v) { int iv = cvRound(v); return saturate_cast<short>(iv); }
template<> inline short saturate_cast<short>(double v) { int iv = cvRound(v); return saturate_cast<short>(iv); }
template<> inline int saturate_cast<int>(float v) { return cvRound(v); }
template<> inline int saturate_cast<int>(double v) { return cvRound(v); }
// we intentionally do not clip negative numbers, to make -1 become 0xffffffff etc.
template<> inline unsigned saturate_cast<unsigned>(float v) { return cvRound(v); }
template<> inline unsigned saturate_cast<unsigned>(double v) { return cvRound(v); }
//////////////////////////////// low-level functions ////////////////////////////////
CV_EXPORTS int LU(float* A, size_t astep, int m, float* b, size_t bstep, int n);
CV_EXPORTS int LU(double* A, size_t astep, int m, double* b, size_t bstep, int n);
CV_EXPORTS bool Cholesky(float* A, size_t astep, int m, float* b, size_t bstep, int n);
CV_EXPORTS bool Cholesky(double* A, size_t astep, int m, double* b, size_t bstep, int n);
CV_EXPORTS int normL1_(const uchar* a, const uchar* b, int n);
CV_EXPORTS int normHamming(const uchar* a, const uchar* b, int n);
CV_EXPORTS int normHamming(const uchar* a, const uchar* b, int n, int cellSize);
CV_EXPORTS float normL1_(const float* a, const float* b, int n);
CV_EXPORTS float normL2Sqr_(const float* a, const float* b, int n);
CV_EXPORTS void exp(const float* src, float* dst, int n);
CV_EXPORTS void log(const float* src, float* dst, int n);
CV_EXPORTS void fastAtan2(const float* y, const float* x, float* dst, int n, bool angleInDegrees);
CV_EXPORTS void magnitude(const float* x, const float* y, float* dst, int n);
//! computes cube root of the argument
CV_EXPORTS_W float cubeRoot(float val);
//! computes the angle in degrees (0..360) of the vector (x,y)
CV_EXPORTS_W float fastAtan2(float y, float x);
/////////////////////////////////// inline norms ////////////////////////////////////
template<typename _Tp, typename _AccTp> static inline
_AccTp normL2Sqr(const _Tp* a, int n)
{
_AccTp s = 0;
int i=0;
#if CV_ENABLE_UNROLLED
for( ; i <= n - 4; i += 4 )
{
_AccTp v0 = a[i], v1 = a[i+1], v2 = a[i+2], v3 = a[i+3];
s += v0*v0 + v1*v1 + v2*v2 + v3*v3;
}
#endif
for( ; i < n; i++ )
{
_AccTp v = a[i];
s += v*v;
}
return s;
}
template<typename _Tp, typename _AccTp> static inline
_AccTp normL1(const _Tp* a, int n)
{
_AccTp s = 0;
int i = 0;
#if CV_ENABLE_UNROLLED
for(; i <= n - 4; i += 4 )
{
s += (_AccTp)std::abs(a[i]) + (_AccTp)std::abs(a[i+1]) +
(_AccTp)std::abs(a[i+2]) + (_AccTp)std::abs(a[i+3]);
}
#endif
for( ; i < n; i++ )
s += std::abs(a[i]);
return s;
}
template<typename _Tp, typename _AccTp> static inline
_AccTp normInf(const _Tp* a, int n)
{
_AccTp s = 0;
for( int i = 0; i < n; i++ )
s = std::max(s, (_AccTp)std::abs(a[i]));
return s;
}
template<typename _Tp, typename _AccTp> static inline
_AccTp normL2Sqr(const _Tp* a, const _Tp* b, int n)
{
_AccTp s = 0;
int i= 0;
#if CV_ENABLE_UNROLLED
for(; i <= n - 4; i += 4 )
{
_AccTp v0 = _AccTp(a[i] - b[i]), v1 = _AccTp(a[i+1] - b[i+1]), v2 = _AccTp(a[i+2] - b[i+2]), v3 = _AccTp(a[i+3] - b[i+3]);
s += v0*v0 + v1*v1 + v2*v2 + v3*v3;
}
#endif
for( ; i < n; i++ )
{
_AccTp v = _AccTp(a[i] - b[i]);
s += v*v;
}
return s;
}
template<> inline
float normL2Sqr(const float* a, const float* b, int n)
{
if( n >= 8 )
return normL2Sqr_(a, b, n);
float s = 0;
for( int i = 0; i < n; i++ )
{
float v = a[i] - b[i];
s += v*v;
}
return s;
}
template<typename _Tp, typename _AccTp> static inline
_AccTp normL1(const _Tp* a, const _Tp* b, int n)
{
_AccTp s = 0;
int i= 0;
#if CV_ENABLE_UNROLLED
for(; i <= n - 4; i += 4 )
{
_AccTp v0 = _AccTp(a[i] - b[i]), v1 = _AccTp(a[i+1] - b[i+1]), v2 = _AccTp(a[i+2] - b[i+2]), v3 = _AccTp(a[i+3] - b[i+3]);
s += std::abs(v0) + std::abs(v1) + std::abs(v2) + std::abs(v3);
}
#endif
for( ; i < n; i++ )
{
_AccTp v = _AccTp(a[i] - b[i]);
s += std::abs(v);
}
return s;
}
template<> inline
float normL1(const float* a, const float* b, int n)
{
if( n >= 8 )
return normL1_(a, b, n);
float s = 0;
for( int i = 0; i < n; i++ )
{
float v = a[i] - b[i];
s += std::abs(v);
}
return s;
}
template<> inline
int normL1(const uchar* a, const uchar* b, int n)
{
return normL1_(a, b, n);
}
template<typename _Tp, typename _AccTp> static inline
_AccTp normInf(const _Tp* a, const _Tp* b, int n)
{
_AccTp s = 0;
for( int i = 0; i < n; i++ )
{
_AccTp v0 = a[i] - b[i];
s = std::max(s, std::abs(v0));
}
return s;
}
////////////////// forward declarations for important OpenCV types //////////////////
template<typename _Tp, int cn> class CV_EXPORTS Vec;
template<typename _Tp, int m, int n> class CV_EXPORTS Matx;
template<typename _Tp> class CV_EXPORTS Complex;
template<typename _Tp> class CV_EXPORTS Point_;
template<typename _Tp> class CV_EXPORTS Point3_;
template<typename _Tp> class CV_EXPORTS Size_;
template<typename _Tp> class CV_EXPORTS Rect_;
template<typename _Tp> class CV_EXPORTS Scalar_;
class CV_EXPORTS RotatedRect;
class CV_EXPORTS Range;
class CV_EXPORTS TermCriteria;
class CV_EXPORTS KeyPoint;
class CV_EXPORTS DMatch;
class CV_EXPORTS RNG;
class CV_EXPORTS Mat;
class CV_EXPORTS MatExpr;
class CV_EXPORTS SparseMat;
typedef Mat MatND;
template<typename _Tp> class CV_EXPORTS Mat_;
template<typename _Tp> class CV_EXPORTS SparseMat_;
class CV_EXPORTS MatConstIterator;
class CV_EXPORTS SparseMatIterator;
class CV_EXPORTS SparseMatConstIterator;
template<typename _Tp> class CV_EXPORTS MatIterator_;
template<typename _Tp> class CV_EXPORTS MatConstIterator_;
template<typename _Tp> class CV_EXPORTS SparseMatIterator_;
template<typename _Tp> class CV_EXPORTS SparseMatConstIterator_;
namespace ogl
{
class CV_EXPORTS Buffer;
class CV_EXPORTS Texture2D;
class CV_EXPORTS Arrays;
}
namespace gpu
{
class CV_EXPORTS GpuMat;
}
} // cv
#endif //__OPENCV_CORE_BASE_HPP__
modules/core/include/opencv2/core/core_c.h
+410 -31
View File
@@ -7,11 +7,12 @@
// copy or use the software.
//
//
// License Agreement
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
@@ -46,6 +47,20 @@
#include "opencv2/core/types_c.h"
#ifdef __cplusplus
# ifdef _MSC_VER
/* disable warning C4190: 'function' has C-linkage specified, but returns UDT 'typename'
which is incompatible with C
It is OK to disable it because we only extend few plain structures with
C++ construrtors for simpler interoperability with C++ API of the library
*/
# pragma warning(disable:4190)
# elif defined __clang__ && __clang_major__ >= 3
# pragma GCC diagnostic ignored "-Wreturn-type-c-linkage"
# endif
#endif
#ifdef __cplusplus
extern "C" {
#endif
@@ -1478,27 +1493,9 @@ CVAPI(int) cvKMeans2( const CvArr* samples, int cluster_count, CvArr* labels,
* System functions *
\****************************************************************************************/
/* Add the function pointers table with associated information to the IPP primitives list */
CVAPI(int) cvRegisterModule( const CvModuleInfo* module_info );
/* Loads optimized functions from IPP, MKL etc. or switches back to pure C code */
CVAPI(int) cvUseOptimized( int on_off );
/* Retrieves information about the registered modules and loaded optimized plugins */
CVAPI(void) cvGetModuleInfo( const char* module_name,
const char** version,
const char** loaded_addon_plugins );
typedef void* (CV_CDECL *CvAllocFunc)(size_t size, void* userdata);
typedef int (CV_CDECL *CvFreeFunc)(void* pptr, void* userdata);
/* Set user-defined memory managment functions (substitutors for malloc and free) that
will be called by cvAlloc, cvFree and higher-level functions (e.g. cvCreateImage) */
CVAPI(void) cvSetMemoryManager( CvAllocFunc alloc_func CV_DEFAULT(NULL),
CvFreeFunc free_func CV_DEFAULT(NULL),
void* userdata CV_DEFAULT(NULL));
typedef IplImage* (CV_STDCALL* Cv_iplCreateImageHeader)
(int,int,int,char*,char*,int,int,int,int,int,
IplROI*,IplImage*,void*,IplTileInfo*);
@@ -1843,19 +1840,11 @@ static char cvFuncName[] = Name
#define __CV_EXIT__ goto exit
#ifdef __cplusplus
}
// classes for automatic module/RTTI data registration/unregistration
struct CV_EXPORTS CvModule
{
CvModule( CvModuleInfo* _info );
~CvModule();
CvModuleInfo* info;
static CvModuleInfo* first;
static CvModuleInfo* last;
};
} // extern "C"
#endif
#ifdef __cplusplus
// class for automatic module/RTTI data registration/unregistration
struct CV_EXPORTS CvType
{
CvType( const char* type_name,
@@ -1868,6 +1857,396 @@ struct CV_EXPORTS CvType
static CvTypeInfo* last;
};
#include "opencv2/core/utility.hpp"
namespace cv
{
/////////////////////////////////////////// glue ///////////////////////////////////////////
//! converts array (CvMat or IplImage) to cv::Mat
CV_EXPORTS Mat cvarrToMat(const CvArr* arr, bool copyData=false,
bool allowND=true, int coiMode=0,
AutoBuffer<double>* buf=0);
static inline Mat cvarrToMatND(const CvArr* arr, bool copyData=false, int coiMode=0)
{
return cvarrToMat(arr, copyData, true, coiMode);
}
//! extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it.
CV_EXPORTS void extractImageCOI(const CvArr* arr, OutputArray coiimg, int coi=-1);
//! inserts single-channel cv::Mat into a multi-channel CvMat or IplImage
CV_EXPORTS void insertImageCOI(InputArray coiimg, CvArr* arr, int coi=-1);
//////// specializied implementations of Ptr::delete_obj() for classic OpenCV types ////////
template<> CV_EXPORTS void Ptr<CvMat>::delete_obj();
template<> CV_EXPORTS void Ptr<IplImage>::delete_obj();
template<> CV_EXPORTS void Ptr<CvMatND>::delete_obj();
template<> CV_EXPORTS void Ptr<CvSparseMat>::delete_obj();
template<> CV_EXPORTS void Ptr<CvMemStorage>::delete_obj();
////////////// convenient wrappers for operating old-style dynamic structures //////////////
template<typename _Tp> class SeqIterator;
typedef Ptr<CvMemStorage> MemStorage;
/*!
Template Sequence Class derived from CvSeq
The class provides more convenient access to sequence elements,
STL-style operations and iterators.
\note The class is targeted for simple data types,
i.e. no constructors or destructors
are called for the sequence elements.
*/
template<typename _Tp> class CV_EXPORTS Seq
{
public:
typedef SeqIterator<_Tp> iterator;
typedef SeqIterator<_Tp> const_iterator;
//! the default constructor
Seq();
//! the constructor for wrapping CvSeq structure. The real element type in CvSeq should match _Tp.
Seq(const CvSeq* seq);
//! creates the empty sequence that resides in the specified storage
Seq(MemStorage& storage, int headerSize = sizeof(CvSeq));
//! returns read-write reference to the specified element
_Tp& operator [](int idx);
//! returns read-only reference to the specified element
const _Tp& operator[](int idx) const;
//! returns iterator pointing to the beginning of the sequence
SeqIterator<_Tp> begin() const;
//! returns iterator pointing to the element following the last sequence element
SeqIterator<_Tp> end() const;
//! returns the number of elements in the sequence
size_t size() const;
//! returns the type of sequence elements (CV_8UC1 ... CV_64FC(CV_CN_MAX) ...)
int type() const;
//! returns the depth of sequence elements (CV_8U ... CV_64F)
int depth() const;
//! returns the number of channels in each sequence element
int channels() const;
//! returns the size of each sequence element
size_t elemSize() const;
//! returns index of the specified sequence element
size_t index(const _Tp& elem) const;
//! appends the specified element to the end of the sequence
void push_back(const _Tp& elem);
//! appends the specified element to the front of the sequence
void push_front(const _Tp& elem);
//! appends zero or more elements to the end of the sequence
void push_back(const _Tp* elems, size_t count);
//! appends zero or more elements to the front of the sequence
void push_front(const _Tp* elems, size_t count);
//! inserts the specified element to the specified position
void insert(int idx, const _Tp& elem);
//! inserts zero or more elements to the specified position
void insert(int idx, const _Tp* elems, size_t count);
//! removes element at the specified position
void remove(int idx);
//! removes the specified subsequence
void remove(const Range& r);
//! returns reference to the first sequence element
_Tp& front();
//! returns read-only reference to the first sequence element
const _Tp& front() const;
//! returns reference to the last sequence element
_Tp& back();
//! returns read-only reference to the last sequence element
const _Tp& back() const;
//! returns true iff the sequence contains no elements
bool empty() const;
//! removes all the elements from the sequence
void clear();
//! removes the first element from the sequence
void pop_front();
//! removes the last element from the sequence
void pop_back();
//! removes zero or more elements from the beginning of the sequence
void pop_front(_Tp* elems, size_t count);
//! removes zero or more elements from the end of the sequence
void pop_back(_Tp* elems, size_t count);
//! copies the whole sequence or the sequence slice to the specified vector
void copyTo(std::vector<_Tp>& vec, const Range& range=Range::all()) const;
//! returns the vector containing all the sequence elements
operator std::vector<_Tp>() const;
CvSeq* seq;
};
/*!
STL-style Sequence Iterator inherited from the CvSeqReader structure
*/
template<typename _Tp> class CV_EXPORTS SeqIterator : public CvSeqReader
{
public:
//! the default constructor
SeqIterator();
//! the constructor setting the iterator to the beginning or to the end of the sequence
SeqIterator(const Seq<_Tp>& seq, bool seekEnd=false);
//! positions the iterator within the sequence
void seek(size_t pos);
//! reports the current iterator position
size_t tell() const;
//! returns reference to the current sequence element
_Tp& operator *();
//! returns read-only reference to the current sequence element
const _Tp& operator *() const;
//! moves iterator to the next sequence element
SeqIterator& operator ++();
//! moves iterator to the next sequence element
SeqIterator operator ++(int) const;
//! moves iterator to the previous sequence element
SeqIterator& operator --();
//! moves iterator to the previous sequence element
SeqIterator operator --(int) const;
//! moves iterator forward by the specified offset (possibly negative)
SeqIterator& operator +=(int);
//! moves iterator backward by the specified offset (possibly negative)
SeqIterator& operator -=(int);
// this is index of the current element module seq->total*2
// (to distinguish between 0 and seq->total)
int index;
};
// bridge C++ => C Seq API
CV_EXPORTS schar* seqPush( CvSeq* seq, const void* element=0);
CV_EXPORTS schar* seqPushFront( CvSeq* seq, const void* element=0);
CV_EXPORTS void seqPop( CvSeq* seq, void* element=0);
CV_EXPORTS void seqPopFront( CvSeq* seq, void* element=0);
CV_EXPORTS void seqPopMulti( CvSeq* seq, void* elements,
int count, int in_front=0 );
CV_EXPORTS void seqRemove( CvSeq* seq, int index );
CV_EXPORTS void clearSeq( CvSeq* seq );
CV_EXPORTS schar* getSeqElem( const CvSeq* seq, int index );
CV_EXPORTS void seqRemoveSlice( CvSeq* seq, CvSlice slice );
CV_EXPORTS void seqInsertSlice( CvSeq* seq, int before_index, const CvArr* from_arr );
template<typename _Tp> inline Seq<_Tp>::Seq() : seq(0) {}
template<typename _Tp> inline Seq<_Tp>::Seq( const CvSeq* _seq ) : seq((CvSeq*)_seq)
{
CV_Assert(!_seq || _seq->elem_size == sizeof(_Tp));
}
template<typename _Tp> inline Seq<_Tp>::Seq( MemStorage& storage,
int headerSize )
{
CV_Assert(headerSize >= (int)sizeof(CvSeq));
seq = cvCreateSeq(DataType<_Tp>::type, headerSize, sizeof(_Tp), storage);
}
template<typename _Tp> inline _Tp& Seq<_Tp>::operator [](int idx)
{ return *(_Tp*)getSeqElem(seq, idx); }
template<typename _Tp> inline const _Tp& Seq<_Tp>::operator [](int idx) const
{ return *(_Tp*)getSeqElem(seq, idx); }
template<typename _Tp> inline SeqIterator<_Tp> Seq<_Tp>::begin() const
{ return SeqIterator<_Tp>(*this); }
template<typename _Tp> inline SeqIterator<_Tp> Seq<_Tp>::end() const
{ return SeqIterator<_Tp>(*this, true); }
template<typename _Tp> inline size_t Seq<_Tp>::size() const
{ return seq ? seq->total : 0; }
template<typename _Tp> inline int Seq<_Tp>::type() const
{ return seq ? CV_MAT_TYPE(seq->flags) : 0; }
template<typename _Tp> inline int Seq<_Tp>::depth() const
{ return seq ? CV_MAT_DEPTH(seq->flags) : 0; }
template<typename _Tp> inline int Seq<_Tp>::channels() const
{ return seq ? CV_MAT_CN(seq->flags) : 0; }
template<typename _Tp> inline size_t Seq<_Tp>::elemSize() const
{ return seq ? seq->elem_size : 0; }
template<typename _Tp> inline size_t Seq<_Tp>::index(const _Tp& elem) const
{ return cvSeqElemIdx(seq, &elem); }
template<typename _Tp> inline void Seq<_Tp>::push_back(const _Tp& elem)
{ cvSeqPush(seq, &elem); }
template<typename _Tp> inline void Seq<_Tp>::push_front(const _Tp& elem)
{ cvSeqPushFront(seq, &elem); }
template<typename _Tp> inline void Seq<_Tp>::push_back(const _Tp* elem, size_t count)
{ cvSeqPushMulti(seq, elem, (int)count, 0); }
template<typename _Tp> inline void Seq<_Tp>::push_front(const _Tp* elem, size_t count)
{ cvSeqPushMulti(seq, elem, (int)count, 1); }
template<typename _Tp> inline _Tp& Seq<_Tp>::back()
{ return *(_Tp*)getSeqElem(seq, -1); }
template<typename _Tp> inline const _Tp& Seq<_Tp>::back() const
{ return *(const _Tp*)getSeqElem(seq, -1); }
template<typename _Tp> inline _Tp& Seq<_Tp>::front()
{ return *(_Tp*)getSeqElem(seq, 0); }
template<typename _Tp> inline const _Tp& Seq<_Tp>::front() const
{ return *(const _Tp*)getSeqElem(seq, 0); }
template<typename _Tp> inline bool Seq<_Tp>::empty() const
{ return !seq || seq->total == 0; }
template<typename _Tp> inline void Seq<_Tp>::clear()
{ if(seq) clearSeq(seq); }
template<typename _Tp> inline void Seq<_Tp>::pop_back()
{ seqPop(seq); }
template<typename _Tp> inline void Seq<_Tp>::pop_front()
{ seqPopFront(seq); }
template<typename _Tp> inline void Seq<_Tp>::pop_back(_Tp* elem, size_t count)
{ seqPopMulti(seq, elem, (int)count, 0); }
template<typename _Tp> inline void Seq<_Tp>::pop_front(_Tp* elem, size_t count)
{ seqPopMulti(seq, elem, (int)count, 1); }
template<typename _Tp> inline void Seq<_Tp>::insert(int idx, const _Tp& elem)
{ seqInsert(seq, idx, &elem); }
template<typename _Tp> inline void Seq<_Tp>::insert(int idx, const _Tp* elems, size_t count)
{
CvMat m = cvMat(1, count, DataType<_Tp>::type, elems);
seqInsertSlice(seq, idx, &m);
}
template<typename _Tp> inline void Seq<_Tp>::remove(int idx)
{ seqRemove(seq, idx); }
template<typename _Tp> inline void Seq<_Tp>::remove(const Range& r)
{ seqRemoveSlice(seq, r); }
template<typename _Tp> inline void Seq<_Tp>::copyTo(std::vector<_Tp>& vec, const Range& range) const
{
size_t len = !seq ? 0 : range == Range::all() ? seq->total : range.end - range.start;
vec.resize(len);
if( seq && len )
cvCvtSeqToArray(seq, &vec[0], range);
}
template<typename _Tp> inline Seq<_Tp>::operator std::vector<_Tp>() const
{
std::vector<_Tp> vec;
copyTo(vec);
return vec;
}
template<typename _Tp> inline SeqIterator<_Tp>::SeqIterator()
{ memset(this, 0, sizeof(*this)); }
template<typename _Tp> inline SeqIterator<_Tp>::SeqIterator(const Seq<_Tp>& _seq, bool seekEnd)
{
cvStartReadSeq(_seq.seq, this);
index = seekEnd ? _seq.seq->total : 0;
}
template<typename _Tp> inline void SeqIterator<_Tp>::seek(size_t pos)
{
cvSetSeqReaderPos(this, (int)pos, false);
index = pos;
}
template<typename _Tp> inline size_t SeqIterator<_Tp>::tell() const
{ return index; }
template<typename _Tp> inline _Tp& SeqIterator<_Tp>::operator *()
{ return *(_Tp*)ptr; }
template<typename _Tp> inline const _Tp& SeqIterator<_Tp>::operator *() const
{ return *(const _Tp*)ptr; }
template<typename _Tp> inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator ++()
{
CV_NEXT_SEQ_ELEM(sizeof(_Tp), *this);
if( ++index >= seq->total*2 )
index = 0;
return *this;
}
template<typename _Tp> inline SeqIterator<_Tp> SeqIterator<_Tp>::operator ++(int) const
{
SeqIterator<_Tp> it = *this;
++*this;
return it;
}
template<typename _Tp> inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator --()
{
CV_PREV_SEQ_ELEM(sizeof(_Tp), *this);
if( --index < 0 )
index = seq->total*2-1;
return *this;
}
template<typename _Tp> inline SeqIterator<_Tp> SeqIterator<_Tp>::operator --(int) const
{
SeqIterator<_Tp> it = *this;
--*this;
return it;
}
template<typename _Tp> inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator +=(int delta)
{
cvSetSeqReaderPos(this, delta, 1);
index += delta;
int n = seq->total*2;
if( index < 0 )
index += n;
if( index >= n )
index -= n;
return *this;
}
template<typename _Tp> inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator -=(int delta)
{
return (*this += -delta);
}
template<typename _Tp> inline ptrdiff_t operator - (const SeqIterator<_Tp>& a,
const SeqIterator<_Tp>& b)
{
ptrdiff_t delta = a.index - b.index, n = a.seq->total;
if( delta > n || delta < -n )
delta += delta < 0 ? n : -n;
return delta;
}
template<typename _Tp> inline bool operator == (const SeqIterator<_Tp>& a,
const SeqIterator<_Tp>& b)
{
return a.seq == b.seq && a.index == b.index;
}
template<typename _Tp> inline bool operator != (const SeqIterator<_Tp>& a,
const SeqIterator<_Tp>& b)
{
return !(a == b);
}
} // cv
#endif
#endif
modules/core/include/opencv2/core/cvdef.h
+9 -1
View File
@@ -111,7 +111,7 @@
#define CV_CPU_NEON 11
#define CV_HARDWARE_MAX_FEATURE 255
// disable SSE/AVX/NEON headers for NVCC compiler
// do not include SSE/AVX/NEON headers for NVCC compiler
#ifndef __CUDACC__
#if defined __SSE2__ || defined _M_X64 || (defined _M_IX86_FP && _M_IX86_FP >= 2)
@@ -335,6 +335,14 @@ typedef signed char schar;
# include <math.h>
#endif
#ifndef MIN
# define MIN(a,b) ((a) > (b) ? (b) : (a))
#endif
#ifndef MAX
# define MAX(a,b) ((a) < (b) ? (b) : (a))
#endif
#ifdef HAVE_TEGRA_OPTIMIZATION
# include "tegra_round.hpp"
#endif
modules/core/include/opencv2/core/cvstd.hpp
+437 -73
View File
@@ -62,6 +62,7 @@
#ifndef OPENCV_NOSTL_TRANSITIONAL
# include <algorithm>
# include <utility>
# include <cstdlib> //for abs(int)
# include <cmath>
namespace cv
@@ -70,25 +71,160 @@ namespace cv
using std::max;
using std::abs;
using std::swap;
using std::sqrt;
using std::exp;
using std::pow;
using std::log;
}
namespace std
{
static inline uchar abs(uchar a) { return a; }
static inline ushort abs(ushort a) { return a; }
static inline unsigned abs(unsigned a) { return a; }
static inline uint64 abs(uint64 a) { return a; }
}
#else
namespace cv
{
template<typename T> inline T min(T a, T b) { return a < b ? a : b; }
template<typename T> inline T max(T a, T b) { return a > b ? a : b; }
template<typename T> inline T abs(T a) { return a < 0 ? -a : a; }
template<typename T> inline void swap(T& a, T& b) { T tmp = a; a = b; b = tmp; }
template<typename T> static inline T min(T a, T b) { return a < b ? a : b; }
template<typename T> static inline T max(T a, T b) { return a > b ? a : b; }
template<typename T> static inline T abs(T a) { return a < 0 ? -a : a; }
template<typename T> static inline void swap(T& a, T& b) { T tmp = a; a = b; b = tmp; }
template<> inline uchar abs(uchar a) { return a; }
template<> inline ushort abs(ushort a) { return a; }
template<> inline uint abs(uint a) { return a; }
template<> inline unsigned abs(unsigned a) { return a; }
template<> inline uint64 abs(uint64 a) { return a; }
}
#endif
namespace cv {
//////////////////////////// memory management functions ////////////////////////////
/*!
Allocates memory buffer
This is specialized OpenCV memory allocation function that returns properly aligned memory buffers.
The usage is identical to malloc(). The allocated buffers must be freed with cv::fastFree().
If there is not enough memory, the function calls cv::error(), which raises an exception.
\param bufSize buffer size in bytes
\return the allocated memory buffer.
*/
CV_EXPORTS void* fastMalloc(size_t bufSize);
/*!
Frees the memory allocated with cv::fastMalloc
This is the corresponding deallocation function for cv::fastMalloc().
When ptr==NULL, the function has no effect.
*/
CV_EXPORTS void fastFree(void* ptr);
/*!
The STL-compilant memory Allocator based on cv::fastMalloc() and cv::fastFree()
*/
template<typename _Tp> class CV_EXPORTS Allocator
{
public:
typedef _Tp value_type;
typedef value_type* pointer;
typedef const value_type* const_pointer;
typedef value_type& reference;
typedef const value_type& const_reference;
typedef size_t size_type;
typedef ptrdiff_t difference_type;
template<typename U> class rebind { typedef Allocator<U> other; };
explicit Allocator() {}
~Allocator() {}
explicit Allocator(Allocator const&) {}
template<typename U>
explicit Allocator(Allocator<U> const&) {}
// address
pointer address(reference r) { return &r; }
const_pointer address(const_reference r) { return &r; }
pointer allocate(size_type count, const void* =0) { return reinterpret_cast<pointer>(fastMalloc(count * sizeof (_Tp))); }
void deallocate(pointer p, size_type) { fastFree(p); }
void construct(pointer p, const _Tp& v) { new(static_cast<void*>(p)) _Tp(v); }
void destroy(pointer p) { p->~_Tp(); }
size_type max_size() const { return cv::max(static_cast<_Tp>(-1)/sizeof(_Tp), 1); }
};
//////////////////// generic_type ref-counting pointer class for C/C++ objects ////////////////////////
/*!
Smart pointer to dynamically allocated objects.
This is template pointer-wrapping class that stores the associated reference counter along with the
object pointer. The class is similar to std::smart_ptr<> from the recent addons to the C++ standard,
but is shorter to write :) and self-contained (i.e. does add any dependency on the compiler or an external library).
Basically, you can use "Ptr<MyObjectType> ptr" (or faster "const Ptr<MyObjectType>& ptr" for read-only access)
everywhere instead of "MyObjectType* ptr", where MyObjectType is some C structure or a C++ class.
To make it all work, you need to specialize Ptr<>::delete_obj(), like:
\code
template<> void Ptr<MyObjectType>::delete_obj() { call_destructor_func(obj); }
\endcode
\note{if MyObjectType is a C++ class with a destructor, you do not need to specialize delete_obj(),
since the default implementation calls "delete obj;"}
\note{Another good property of the class is that the operations on the reference counter are atomic,
i.e. it is safe to use the class in multi-threaded applications}
*/
template<typename _Tp> class CV_EXPORTS Ptr
{
public:
//! empty constructor
Ptr();
//! take ownership of the pointer. The associated reference counter is allocated and set to 1
Ptr(_Tp* _obj);
//! calls release()
~Ptr();
//! copy constructor. Copies the members and calls addref()
Ptr(const Ptr& ptr);
template<typename _Tp2> Ptr(const Ptr<_Tp2>& ptr);
//! copy operator. Calls ptr.addref() and release() before copying the members
Ptr& operator = (const Ptr& ptr);
//! increments the reference counter
void addref();
//! decrements the reference counter. If it reaches 0, delete_obj() is called
void release();
//! deletes the object. Override if needed
void delete_obj();
//! returns true iff obj==NULL
bool empty() const;
//! cast pointer to another type
template<typename _Tp2> Ptr<_Tp2> ptr();
template<typename _Tp2> const Ptr<_Tp2> ptr() const;
//! helper operators making "Ptr<T> ptr" use very similar to "T* ptr".
_Tp* operator -> ();
const _Tp* operator -> () const;
operator _Tp* ();
operator const _Tp*() const;
_Tp* obj; //< the object pointer.
int* refcount; //< the associated reference counter
};
//////////////////////////////// string class ////////////////////////////////
class CV_EXPORTS FileNode; //for string constructor from FileNode
class CV_EXPORTS String
@@ -187,19 +323,195 @@ private:
void deallocate();
};
// **************************** cv::String implementation ****************************
inline String::String() : cstr_(0), len_(0)
/////////////////////////// cv::Ptr implementation ///////////////////////////
template<typename _Tp> inline
Ptr<_Tp>::Ptr()
: obj(0), refcount(0) {}
template<typename _Tp> inline
Ptr<_Tp>::Ptr(_Tp* _obj)
: obj(_obj)
{
if(obj)
{
refcount = (int*)fastMalloc(sizeof(*refcount));
*refcount = 1;
}
else
refcount = 0;
}
inline String::String(const String& str) : cstr_(str.cstr_), len_(str.len_)
template<typename _Tp> template<typename _Tp2>
Ptr<_Tp>::Ptr(const Ptr<_Tp2>& p)
: obj(0), refcount(0)
{
if (p.empty())
return;
_Tp* p_casted = dynamic_cast<_Tp*>(p.obj);
if (!p_casted)
return;
obj = p_casted;
refcount = p.refcount;
addref();
}
template<typename _Tp> inline
Ptr<_Tp>::~Ptr()
{
release();
}
template<typename _Tp> inline
void Ptr<_Tp>::addref()
{
if( refcount )
CV_XADD(refcount, 1);
}
template<typename _Tp> inline
void Ptr<_Tp>::release()
{
if( refcount && CV_XADD(refcount, -1) == 1 )
{
delete_obj();
fastFree(refcount);
}
refcount = 0;
obj = 0;
}
template<typename _Tp> inline
void Ptr<_Tp>::delete_obj()
{
if( obj )
delete obj;
}
template<typename _Tp> inline
Ptr<_Tp>::Ptr(const Ptr<_Tp>& _ptr)
{
obj = _ptr.obj;
refcount = _ptr.refcount;
addref();
}
template<typename _Tp> inline
Ptr<_Tp>& Ptr<_Tp>::operator = (const Ptr<_Tp>& _ptr)
{
int* _refcount = _ptr.refcount;
if( _refcount )
CV_XADD(_refcount, 1);
release();
obj = _ptr.obj;
refcount = _refcount;
return *this;
}
template<typename _Tp> inline
_Tp* Ptr<_Tp>::operator -> ()
{
return obj;
}
template<typename _Tp> inline
const _Tp* Ptr<_Tp>::operator -> () const
{
return obj;
}
template<typename _Tp> inline
Ptr<_Tp>::operator _Tp* ()
{
return obj;
}
template<typename _Tp> inline
Ptr<_Tp>::operator const _Tp*() const
{
return obj;
}
template<typename _Tp> inline
bool Ptr<_Tp>::empty() const
{
return obj == 0;
}
template<typename _Tp> template<typename _Tp2> inline
Ptr<_Tp2> Ptr<_Tp>::ptr()
{
Ptr<_Tp2> p;
if( !obj )
return p;
_Tp2* obj_casted = dynamic_cast<_Tp2*>(obj);
if (!obj_casted)
return p;
if( refcount )
CV_XADD(refcount, 1);
p.obj = obj_casted;
p.refcount = refcount;
return p;
}
template<typename _Tp> template<typename _Tp2> inline
const Ptr<_Tp2> Ptr<_Tp>::ptr() const
{
Ptr<_Tp2> p;
if( !obj )
return p;
_Tp2* obj_casted = dynamic_cast<_Tp2*>(obj);
if (!obj_casted)
return p;
if( refcount )
CV_XADD(refcount, 1);
p.obj = obj_casted;
p.refcount = refcount;
return p;
}
template<class _Tp, class _Tp2> static inline
bool operator == (const Ptr<_Tp>& a, const Ptr<_Tp2>& b)
{
return a.refcount == b.refcount;
}
template<class _Tp, class _Tp2> static inline
bool operator != (const Ptr<_Tp>& a, const Ptr<_Tp2>& b)
{
return a.refcount != b.refcount;
}
////////////////////////// cv::String implementation /////////////////////////
inline
String::String()
: cstr_(0), len_(0)
{}
inline
String::String(const String& str)
: cstr_(str.cstr_), len_(str.len_)
{
if (cstr_)
CV_XADD(((int*)cstr_)-1, 1);
}
inline String::String(const String& str, size_t pos, size_t len) : cstr_(0), len_(0)
inline
String::String(const String& str, size_t pos, size_t len)
: cstr_(0), len_(0)
{
pos = min(pos, str.len_);
len = min(str.len_ - pos, len);
@@ -214,32 +526,41 @@ inline String::String(const String& str, size_t pos, size_t len) : cstr_(0), len
memcpy(allocate(len), str.cstr_ + pos, len);
}
inline String::String(const char* s) : cstr_(0), len_(0)
inline
String::String(const char* s)
: cstr_(0), len_(0)
{
if (!s) return;
size_t len = strlen(s);
memcpy(allocate(len), s, len);
}
inline String::String(const char* s, size_t n) : cstr_(0), len_(0)
inline
String::String(const char* s, size_t n)
: cstr_(0), len_(0)
{
if (!n) return;
memcpy(allocate(n), s, n);
}
inline String::String(size_t n, char c) : cstr_(0), len_(0)
inline
String::String(size_t n, char c)
: cstr_(0), len_(0)
{
memset(allocate(n), c, n);
}
inline String::String(const char* first, const char* last) : cstr_(0), len_(0)
inline
String::String(const char* first, const char* last)
: cstr_(0), len_(0)
{
size_t len = (size_t)(last - first);
memcpy(allocate(len), first, len);
}
template<typename Iterator>
inline String::String(Iterator first, Iterator last) : cstr_(0), len_(0)
template<typename Iterator> inline
String::String(Iterator first, Iterator last)
: cstr_(0), len_(0)
{
size_t len = (size_t)(last - first);
char* str = allocate(len);
@@ -250,12 +571,14 @@ inline String::String(Iterator first, Iterator last) : cstr_(0), len_(0)
}
}
inline String::~String()
inline
String::~String()
{
deallocate();
}
inline String& String::operator=(const String& str)
inline
String& String::operator=(const String& str)
{
deallocate();
if (str.cstr_) CV_XADD(((int*)str.cstr_)-1, 1);
@@ -264,7 +587,8 @@ inline String& String::operator=(const String& str)
return *this;
}
inline String& String::operator=(const char* s)
inline
String& String::operator=(const char* s)
{
deallocate();
if (!s) return *this;
@@ -273,82 +597,97 @@ inline String& String::operator=(const char* s)
return *this;
}
inline String& String::operator=(char c)
inline
String& String::operator=(char c)
{
deallocate();
allocate(1)[0] = c;
return *this;
}
inline size_t String::size() const
inline
size_t String::size() const
{
return len_;
}
inline size_t String::length() const
inline
size_t String::length() const
{
return len_;
}
inline char String::operator[](size_t idx) const
inline
char String::operator[](size_t idx) const
{
return cstr_[idx];
}
inline char String::operator[](int idx) const
inline
char String::operator[](int idx) const
{
return cstr_[idx];
}
inline const char* String::begin() const
inline
const char* String::begin() const
{
return cstr_;
}
inline const char* String::end() const
inline
const char* String::end() const
{
return len_ ? cstr_ + 1 : 0;
}
inline bool String::empty() const
inline
bool String::empty() const
{
return len_ == 0;
}
inline const char* String::c_str() const
inline
const char* String::c_str() const
{
return cstr_ ? cstr_ : "";
}
inline void String::swap(String& str)
inline
void String::swap(String& str)
{
cv::swap(cstr_, str.cstr_);
cv::swap(len_, str.len_);
}
inline void String::clear()
inline
void String::clear()
{
deallocate();
}
inline int String::compare(const char* s) const
inline
int String::compare(const char* s) const
{
if (cstr_ == s) return 0;
return strcmp(c_str(), s);
}
inline int String::compare(const String& str) const
inline
int String::compare(const String& str) const
{
if (cstr_ == str.cstr_) return 0;
return strcmp(c_str(), str.c_str());
}
inline String String::substr(size_t pos, size_t len) const
inline
String String::substr(size_t pos, size_t len) const
{
return String(*this, pos, len);
}
inline size_t String::find(const char* s, size_t pos, size_t n) const
inline
size_t String::find(const char* s, size_t pos, size_t n) const
{
if (n == 0 || pos + n > len_) return npos;
const char* lmax = cstr_ + len_ - n;
@@ -361,17 +700,20 @@ inline size_t String::find(const char* s, size_t pos, size_t n) const
return npos;
}
inline size_t String::find(char c, size_t pos) const
inline
size_t String::find(char c, size_t pos) const
{
return find(&c, pos, 1);
}
inline size_t String::find(const String& str, size_t pos) const
inline
size_t String::find(const String& str, size_t pos) const
{
return find(str.c_str(), pos, str.len_);
}
inline size_t String::find(const char* s, size_t pos) const
inline
size_t String::find(const char* s, size_t pos) const
{
if (pos >= len_ || !s[0]) return npos;
const char* lmax = cstr_ + len_;
@@ -387,7 +729,8 @@ inline size_t String::find(const char* s, size_t pos) const
return npos;
}
inline size_t String::rfind(const char* s, size_t pos, size_t n) const
inline
size_t String::rfind(const char* s, size_t pos, size_t n) const
{
if (n > len_) return npos;
if (pos > len_ - n) pos = len_ - n;
@@ -400,22 +743,26 @@ inline size_t String::rfind(const char* s, size_t pos, size_t n) const
return npos;
}
inline size_t String::rfind(char c, size_t pos) const
inline
size_t String::rfind(char c, size_t pos) const
{
return rfind(&c, pos, 1);
}
inline size_t String::rfind(const String& str, size_t pos) const
inline
size_t String::rfind(const String& str, size_t pos) const
{
return rfind(str.c_str(), pos, str.len_);
}
inline size_t String::rfind(const char* s, size_t pos) const
inline
size_t String::rfind(const char* s, size_t pos) const
{
return rfind(s, pos, strlen(s));
}
inline size_t String::find_first_of(const char* s, size_t pos, size_t n) const
inline
size_t String::find_first_of(const char* s, size_t pos, size_t n) const
{
if (n == 0 || pos + n > len_) return npos;
const char* lmax = cstr_ + len_;
@@ -428,17 +775,20 @@ inline size_t String::find_first_of(const char* s, size_t pos, size_t n) const
return npos;
}
inline size_t String::find_first_of(char c, size_t pos) const
inline
size_t String::find_first_of(char c, size_t pos) const
{
return find_first_of(&c, pos, 1);
}
inline size_t String::find_first_of(const String& str, size_t pos) const
inline
size_t String::find_first_of(const String& str, size_t pos) const
{
return find_first_of(str.c_str(), pos, str.len_);
}
inline size_t String::find_first_of(const char* s, size_t pos) const
inline
size_t String::find_first_of(const char* s, size_t pos) const
{
if (pos >= len_ || !s[0]) return npos;
const char* lmax = cstr_ + len_;
@@ -451,7 +801,8 @@ inline size_t String::find_first_of(const char* s, size_t pos) const
return npos;
}
inline size_t String::find_last_of(const char* s, size_t pos, size_t n) const
inline
size_t String::find_last_of(const char* s, size_t pos, size_t n) const
{
if (pos >= len_) pos = len_ - 1;
for (const char* i = cstr_ + pos; i >= cstr_; --i)
@@ -463,17 +814,20 @@ inline size_t String::find_last_of(const char* s, size_t pos, size_t n) const
return npos;
}
inline size_t String::find_last_of(char c, size_t pos) const
inline
size_t String::find_last_of(char c, size_t pos) const
{
return find_last_of(&c, pos, 1);
}
inline size_t String::find_last_of(const String& str, size_t pos) const
inline
size_t String::find_last_of(const String& str, size_t pos) const
{
return find_last_of(str.c_str(), pos, str.len_);
}
inline size_t String::find_last_of(const char* s, size_t pos) const
inline
size_t String::find_last_of(const char* s, size_t pos) const
{
if (pos >= len_) pos = len_ - 1;
for (const char* i = cstr_ + pos; i >= cstr_; --i)
@@ -485,7 +839,8 @@ inline size_t String::find_last_of(const char* s, size_t pos) const
return npos;
}
inline String String::toLowerCase() const
inline
String String::toLowerCase() const
{
String res(cstr_, len_);
@@ -497,7 +852,8 @@ inline String String::toLowerCase() const
// ************************* cv::String non-member functions *************************
inline String operator+ (const String& lhs, const String& rhs)
inline
String operator + (const String& lhs, const String& rhs)
{
String s;
s.allocate(lhs.len_ + rhs.len_);
@@ -506,7 +862,8 @@ inline String operator+ (const String& lhs, const String& rhs)
return s;
}
inline String operator+ (const String& lhs, const char* rhs)
inline
String operator + (const String& lhs, const char* rhs)
{
String s;
size_t rhslen = strlen(rhs);
@@ -516,7 +873,8 @@ inline String operator+ (const String& lhs, const char* rhs)
return s;
}
inline String operator+ (const char* lhs, const String& rhs)
inline
String operator + (const char* lhs, const String& rhs)
{
String s;
size_t lhslen = strlen(lhs);
@@ -526,7 +884,8 @@ inline String operator+ (const char* lhs, const String& rhs)
return s;
}
inline String operator+ (const String& lhs, char rhs)
inline
String operator + (const String& lhs, char rhs)
{
String s;
s.allocate(lhs.len_ + 1);
@@ -535,7 +894,8 @@ inline String operator+ (const String& lhs, char rhs)
return s;
}
inline String operator+ (char lhs, const String& rhs)
inline
String operator + (char lhs, const String& rhs)
{
String s;
s.allocate(rhs.len_ + 1);
@@ -544,24 +904,24 @@ inline String operator+ (char lhs, const String& rhs)
return s;
}
inline bool operator== (const String& lhs, const String& rhs) { return 0 == lhs.compare(rhs); }
inline bool operator== (const char* lhs, const String& rhs) { return 0 == rhs.compare(lhs); }
inline bool operator== (const String& lhs, const char* rhs) { return 0 == lhs.compare(rhs); }
inline bool operator!= (const String& lhs, const String& rhs) { return 0 != lhs.compare(rhs); }
inline bool operator!= (const char* lhs, const String& rhs) { return 0 != rhs.compare(lhs); }
inline bool operator!= (const String& lhs, const char* rhs) { return 0 != lhs.compare(rhs); }
inline bool operator< (const String& lhs, const String& rhs) { return lhs.compare(rhs) < 0; }
inline bool operator< (const char* lhs, const String& rhs) { return rhs.compare(lhs) > 0; }
inline bool operator< (const String& lhs, const char* rhs) { return lhs.compare(rhs) < 0; }
inline bool operator<= (const String& lhs, const String& rhs) { return lhs.compare(rhs) <= 0; }
inline bool operator<= (const char* lhs, const String& rhs) { return rhs.compare(lhs) >= 0; }
inline bool operator<= (const String& lhs, const char* rhs) { return lhs.compare(rhs) <= 0; }
inline bool operator> (const String& lhs, const String& rhs) { return lhs.compare(rhs) > 0; }
inline bool operator> (const char* lhs, const String& rhs) { return rhs.compare(lhs) < 0; }
inline bool operator> (const String& lhs, const char* rhs) { return lhs.compare(rhs) > 0; }
inline bool operator>= (const String& lhs, const String& rhs) { return lhs.compare(rhs) >= 0; }
inline bool operator>= (const char* lhs, const String& rhs) { return rhs.compare(lhs) <= 0; }
inline bool operator>= (const String& lhs, const char* rhs) { return lhs.compare(rhs) >= 0; }
static inline bool operator== (const String& lhs, const String& rhs) { return 0 == lhs.compare(rhs); }
static inline bool operator== (const char* lhs, const String& rhs) { return 0 == rhs.compare(lhs); }
static inline bool operator== (const String& lhs, const char* rhs) { return 0 == lhs.compare(rhs); }
static inline bool operator!= (const String& lhs, const String& rhs) { return 0 != lhs.compare(rhs); }
static inline bool operator!= (const char* lhs, const String& rhs) { return 0 != rhs.compare(lhs); }
static inline bool operator!= (const String& lhs, const char* rhs) { return 0 != lhs.compare(rhs); }
static inline bool operator< (const String& lhs, const String& rhs) { return lhs.compare(rhs) < 0; }
static inline bool operator< (const char* lhs, const String& rhs) { return rhs.compare(lhs) > 0; }
static inline bool operator< (const String& lhs, const char* rhs) { return lhs.compare(rhs) < 0; }
static inline bool operator<= (const String& lhs, const String& rhs) { return lhs.compare(rhs) <= 0; }
static inline bool operator<= (const char* lhs, const String& rhs) { return rhs.compare(lhs) >= 0; }
static inline bool operator<= (const String& lhs, const char* rhs) { return lhs.compare(rhs) <= 0; }
static inline bool operator> (const String& lhs, const String& rhs) { return lhs.compare(rhs) > 0; }
static inline bool operator> (const char* lhs, const String& rhs) { return rhs.compare(lhs) < 0; }
static inline bool operator> (const String& lhs, const char* rhs) { return lhs.compare(rhs) > 0; }
static inline bool operator>= (const String& lhs, const String& rhs) { return lhs.compare(rhs) >= 0; }
static inline bool operator>= (const char* lhs, const String& rhs) { return rhs.compare(lhs) <= 0; }
static inline bool operator>= (const String& lhs, const char* rhs) { return lhs.compare(rhs) >= 0; }
} // cv
@@ -571,7 +931,11 @@ namespace std
namespace cv
#endif
{
template<> inline void swap<cv::String>(cv::String& a, cv::String& b) { a.swap(b); }
template<> inline
void swap<cv::String>(cv::String& a, cv::String& b)
{
a.swap(b);
}
}
#endif //__OPENCV_CORE_CVSTD_HPP__
modules/core/include/opencv2/core/cvstd.inl.hpp
+128 -14
View File
@@ -45,6 +45,7 @@
#define __OPENCV_CORE_CVSTDINL_HPP__
#ifndef OPENCV_NOSTL
# include <complex>
# include <ostream>
#endif
@@ -52,7 +53,25 @@ namespace cv
{
#ifndef OPENCV_NOSTL
inline String::String(const std::string& str) : cstr_(0), len_(0)
template<typename _Tp> class DataType< std::complex<_Tp> >
{
public:
typedef std::complex<_Tp> value_type;
typedef value_type work_type;
typedef _Tp channel_type;
enum { generic_type = 0,
depth = DataType<channel_type>::depth,
channels = 2,
fmt = DataType<channel_type>::fmt + ((channels - 1) << 8),
type = CV_MAKETYPE(depth, channels) };
typedef Vec<channel_type, channels> vec_type;
};
inline
String::String(const std::string& str)
: cstr_(0), len_(0)
{
if (!str.empty())
{
@@ -61,7 +80,9 @@ inline String::String(const std::string& str) : cstr_(0), len_(0)
}
}
inline String::String(const std::string& str, size_t pos, size_t len) : cstr_(0), len_(0)
inline
String::String(const std::string& str, size_t pos, size_t len)
: cstr_(0), len_(0)
{
size_t strlen = str.size();
pos = max(pos, strlen);
@@ -70,7 +91,8 @@ inline String::String(const std::string& str, size_t pos, size_t len) : cstr_(0)
memcpy(allocate(len), str.c_str() + pos, len);
}
inline String& String::operator=(const std::string& str)
inline
String& String::operator = (const std::string& str)
{
deallocate();
if (!str.empty())
@@ -81,12 +103,14 @@ inline String& String::operator=(const std::string& str)
return *this;
}
inline String::operator std::string() const
inline
String::operator std::string() const
{
return std::string(cstr_, len_);
}
inline String operator+ (const String& lhs, const std::string& rhs)
inline
String operator + (const String& lhs, const std::string& rhs)
{
String s;
size_t rhslen = rhs.size();
@@ -96,7 +120,8 @@ inline String operator+ (const String& lhs, const std::string& rhs)
return s;
}
inline String operator+ (const std::string& lhs, const String& rhs)
inline
String operator + (const std::string& lhs, const String& rhs)
{
String s;
size_t lhslen = lhs.size();
@@ -106,30 +131,119 @@ inline String operator+ (const std::string& lhs, const String& rhs)
return s;
}
inline std::ostream& operator << (std::ostream& os, const String& str)
{
return os << str.c_str();
}
inline FileNode::operator std::string() const
inline
FileNode::operator std::string() const
{
String value;
read(*this, value, value);
return value;
}
template<> inline void operator >> (const FileNode& n, std::string& value)
template<> inline
void operator >> (const FileNode& n, std::string& value)
{
String val;
read(n, val, val);
value = val;
}
template<> inline FileStorage& operator << (FileStorage& fs, const std::string& value)
template<> inline
FileStorage& operator << (FileStorage& fs, const std::string& value)
{
return fs << cv::String(value);
}
static inline
std::ostream& operator << (std::ostream& os, const String& str)
{
return os << str.c_str();
}
static inline
std::ostream& operator << (std::ostream& out, Ptr<Formatted> fmtd)
{
fmtd->reset();
for(const char* str = fmtd->next(); str; str = fmtd->next())
out << str;
return out;
}
static inline
std::ostream& operator << (std::ostream& out, const Mat& mtx)
{
return out << Formatter::get()->format(mtx);
}
template<typename _Tp> static inline
std::ostream& operator << (std::ostream& out, const std::vector<Point_<_Tp> >& vec)
{
return out << Formatter::get()->format(Mat(vec));
}
template<typename _Tp> static inline
std::ostream& operator << (std::ostream& out, const std::vector<Point3_<_Tp> >& vec)
{
return out << Formatter::get()->format(Mat(vec));
}
template<typename _Tp, int m, int n> static inline
std::ostream& operator << (std::ostream& out, const Matx<_Tp, m, n>& matx)
{
return out << Formatter::get()->format(matx);
}
template<typename _Tp> static inline
std::ostream& operator << (std::ostream& out, const Point_<_Tp>& p)
{
out << "[" << p.x << ", " << p.y << "]";
return out;
}
template<typename _Tp> static inline
std::ostream& operator << (std::ostream& out, const Point3_<_Tp>& p)
{
out << "[" << p.x << ", " << p.y << ", " << p.z << "]";
return out;
}
template<typename _Tp, int n> static inline
std::ostream& operator << (std::ostream& out, const Vec<_Tp, n>& vec)
{
out << "[";
if(Vec<_Tp, n>::depth < CV_32F)
{
for (int i = 0; i < n - 1; ++i) {
out << (int)vec[i] << ", ";
}
out << (int)vec[n-1] << "]";
}
else
{
for (int i = 0; i < n - 1; ++i) {
out << vec[i] << ", ";
}
out << vec[n-1] << "]";
}
return out;
}
template<typename _Tp> static inline
std::ostream& operator << (std::ostream& out, const Size_<_Tp>& size)
{
return out << "[" << size.width << " x " << size.height << "]";
}
template<typename _Tp> static inline
std::ostream& operator << (std::ostream& out, const Rect_<_Tp>& rect)
{
return out << "[" << rect.width << " x " << rect.height << " from (" << rect.x << ", " << rect.y << ")]";
}
#endif // OPENCV_NOSTL
} // cv
modules/core/include/opencv2/core/eigen.hpp
+29 -50
View File
@@ -12,6 +12,7 @@
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
@@ -40,12 +41,10 @@
//
//M*/
#ifndef __OPENCV_CORE_EIGEN_HPP__
#define __OPENCV_CORE_EIGEN_HPP__
#ifdef __cplusplus
#include "opencv2/core/core_c.h"
#include "opencv2/core.hpp"
#if defined _MSC_VER && _MSC_VER >= 1200
@@ -57,7 +56,7 @@
namespace cv
{
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols>
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src, Mat& dst )
{
if( !(src.Flags & Eigen::RowMajorBit) )
@@ -75,7 +74,7 @@ void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCo
}
// Matx case
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols>
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src,
Matx<_Tp, _rows, _cols>& dst )
{
@@ -89,14 +88,14 @@ void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCo
}
}
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols>
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
{
CV_DbgAssert(src.rows == _rows && src.cols == _cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
@@ -107,46 +106,42 @@ void cv2eigen( const Mat& src,
}
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
// Matx case
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols>
template<typename _Tp, int _rows, int _cols, int _options, int _maxRows, int _maxCols> static inline
void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst )
{
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(_cols, _rows, DataType<_Tp>::type,
const Mat _dst(_cols, _rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(_rows, _cols, DataType<_Tp>::type,
const Mat _dst(_rows, _cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
Mat(src).copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
template<typename _Tp>
template<typename _Tp> static inline
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
{
dst.resize(src.rows, src.cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
@@ -157,40 +152,36 @@ void cv2eigen( const Mat& src,
}
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
// Matx case
template<typename _Tp, int _rows, int _cols>
template<typename _Tp, int _rows, int _cols> static inline
void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst )
{
dst.resize(_rows, _cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(_cols, _rows, DataType<_Tp>::type,
const Mat _dst(_cols, _rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(_rows, _cols, DataType<_Tp>::type,
const Mat _dst(_rows, _cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
Mat(src).copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
template<typename _Tp>
template<typename _Tp> static inline
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
{
@@ -199,25 +190,23 @@ void cv2eigen( const Mat& src,
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
// Matx case
template<typename _Tp, int _rows>
template<typename _Tp, int _rows> static inline
void cv2eigen( const Matx<_Tp, _rows, 1>& src,
Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst )
{
@@ -225,22 +214,20 @@ void cv2eigen( const Matx<_Tp, _rows, 1>& src,
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(1, _rows, DataType<_Tp>::type,
const Mat _dst(1, _rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(_rows, 1, DataType<_Tp>::type,
const Mat _dst(_rows, 1, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
template<typename _Tp>
template<typename _Tp> static inline
void cv2eigen( const Mat& src,
Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
{
@@ -248,49 +235,41 @@ void cv2eigen( const Mat& src,
dst.resize(src.cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
const Mat _dst(src.cols, src.rows, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
if( src.type() == _dst.type() )
transpose(src, _dst);
else
Mat(src.t()).convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
const Mat _dst(src.rows, src.cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
src.convertTo(_dst, _dst.type());
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
//Matx
template<typename _Tp, int _cols>
template<typename _Tp, int _cols> static inline
void cv2eigen( const Matx<_Tp, 1, _cols>& src,
Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst )
{
dst.resize(_cols);
if( !(dst.Flags & Eigen::RowMajorBit) )
{
Mat _dst(_cols, 1, DataType<_Tp>::type,
const Mat _dst(_cols, 1, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
transpose(src, _dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
else
{
Mat _dst(1, _cols, DataType<_Tp>::type,
const Mat _dst(1, _cols, DataType<_Tp>::type,
dst.data(), (size_t)(dst.stride()*sizeof(_Tp)));
Mat(src).copyTo(_dst);
CV_DbgAssert(_dst.data == (uchar*)dst.data());
}
}
}
} // cv
#endif
#endif
modules/core/include/opencv2/core/gpumat.hpp
+648 -612
View File
File diff suppressed because it is too large Load Diff
modules/core/include/opencv2/core/internal.hpp
-534
View File
@@ -1,534 +0,0 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
/* The header is for internal use and it is likely to change.
It contains some macro definitions that are used in cxcore, cv, cvaux
and, probably, other libraries. If you need some of this functionality,
the safe way is to copy it into your code and rename the macros.
*/
#ifndef __OPENCV_CORE_INTERNAL_HPP__
#define __OPENCV_CORE_INTERNAL_HPP__
#include <vector>
#if defined WIN32 || defined _WIN32
# ifndef WIN32
# define WIN32
# endif
# ifndef _WIN32
# define _WIN32
# endif
#endif
#if !defined WIN32 && !defined WINCE
# include <pthread.h>
#endif
#ifdef __BORLANDC__
# ifndef WIN32
# define WIN32
# endif
# ifndef _WIN32
# define _WIN32
# endif
# define CV_DLL
# undef _CV_ALWAYS_PROFILE_
# define _CV_ALWAYS_NO_PROFILE_
#endif
#ifndef FALSE
# define FALSE 0
#endif
#ifndef TRUE
# define TRUE 1
#endif
#define __BEGIN__ __CV_BEGIN__
#define __END__ __CV_END__
#define EXIT __CV_EXIT__
#ifdef HAVE_IPP
# include "ipp.h"
CV_INLINE IppiSize ippiSize(int width, int height)
{
IppiSize size = { width, height };
return size;
}
#endif
#ifndef IPPI_CALL
# define IPPI_CALL(func) CV_Assert((func) >= 0)
#endif
#if defined __SSE2__ || defined _M_X64 || (defined _M_IX86_FP && _M_IX86_FP >= 2)
# include "emmintrin.h"
# define CV_SSE 1
# define CV_SSE2 1
# if defined __SSE3__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include "pmmintrin.h"
# define CV_SSE3 1
# endif
# if defined __SSSE3__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include "tmmintrin.h"
# define CV_SSSE3 1
# endif
# if defined __SSE4_1__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include <smmintrin.h>
# define CV_SSE4_1 1
# endif
# if defined __SSE4_2__ || (defined _MSC_VER && _MSC_VER >= 1500)
# include <nmmintrin.h>
# define CV_SSE4_2 1
# endif
# if defined __AVX__ || (defined _MSC_FULL_VER && _MSC_FULL_VER >= 160040219)
// MS Visual Studio 2010 (2012?) has no macro pre-defined to identify the use of /arch:AVX
// See: http://connect.microsoft.com/VisualStudio/feedback/details/605858/arch-avx-should-define-a-predefined-macro-in-x64-and-set-a-unique-value-for-m-ix86-fp-in-win32
# include <immintrin.h>
# define CV_AVX 1
# if defined(_XCR_XFEATURE_ENABLED_MASK)
# define __xgetbv() _xgetbv(_XCR_XFEATURE_ENABLED_MASK)
# else
# define __xgetbv() 0
# endif
# endif
#endif
#ifdef __ARM_NEON__
# include <arm_neon.h>
# define CV_NEON 1
# define CPU_HAS_NEON_FEATURE (true)
#endif
#ifndef CV_SSE
# define CV_SSE 0
#endif
#ifndef CV_SSE2
# define CV_SSE2 0
#endif
#ifndef CV_SSE3
# define CV_SSE3 0
#endif
#ifndef CV_SSSE3
# define CV_SSSE3 0
#endif
#ifndef CV_SSE4_1
# define CV_SSE4_1 0
#endif
#ifndef CV_SSE4_2
# define CV_SSE4_2 0
#endif
#ifndef CV_AVX
# define CV_AVX 0
#endif
#ifndef CV_NEON
# define CV_NEON 0
#endif
#ifdef HAVE_TBB
# include "tbb/tbb_stddef.h"
# if TBB_VERSION_MAJOR*100 + TBB_VERSION_MINOR >= 202
# include "tbb/tbb.h"
# include "tbb/task.h"
# undef min
# undef max
# else
# undef HAVE_TBB
# endif
#endif
#ifdef HAVE_EIGEN
# if defined __GNUC__ && defined __APPLE__
# pragma GCC diagnostic ignored "-Wshadow"
# endif
# include <Eigen/Core>
# include "opencv2/core/eigen.hpp"
#endif
#ifdef __cplusplus
namespace cv
{
#ifdef HAVE_TBB
typedef tbb::blocked_range<int> BlockedRange;
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
tbb::parallel_for(range, body);
}
template<typename Iterator, typename Body> static inline
void parallel_do( Iterator first, Iterator last, const Body& body )
{
tbb::parallel_do(first, last, body);
}
typedef tbb::split Split;
template<typename Body> static inline
void parallel_reduce( const BlockedRange& range, Body& body )
{
tbb::parallel_reduce(range, body);
}
typedef tbb::concurrent_vector<Rect> ConcurrentRectVector;
typedef tbb::concurrent_vector<double> ConcurrentDoubleVector;
#else
class BlockedRange
{
public:
BlockedRange() : _begin(0), _end(0), _grainsize(0) {}
BlockedRange(int b, int e, int g=1) : _begin(b), _end(e), _grainsize(g) {}
int begin() const { return _begin; }
int end() const { return _end; }
int grainsize() const { return _grainsize; }
protected:
int _begin, _end, _grainsize;
};
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
body(range);
}
typedef std::vector<Rect> ConcurrentRectVector;
typedef std::vector<double> ConcurrentDoubleVector;
template<typename Iterator, typename Body> static inline
void parallel_do( Iterator first, Iterator last, const Body& body )
{
for( ; first != last; ++first )
body(*first);
}
class Split {};
template<typename Body> static inline
void parallel_reduce( const BlockedRange& range, Body& body )
{
body(range);
}
#endif
} //namespace cv
#define CV_INIT_ALGORITHM(classname, algname, memberinit) \
static ::cv::Algorithm* create##classname##_hidden() \
{ \
return new classname; \
} \
\
static ::cv::AlgorithmInfo& classname##_info() \
{ \
static ::cv::AlgorithmInfo classname##_info_var(algname, create##classname##_hidden); \
return classname##_info_var; \
} \
\
static ::cv::AlgorithmInfo& classname##_info_auto = classname##_info(); \
\
::cv::AlgorithmInfo* classname::info() const \
{ \
static volatile bool initialized = false; \
\
if( !initialized ) \
{ \
initialized = true; \
classname obj; \
memberinit; \
} \
return &classname##_info(); \
}
#endif //__cplusplus
/* maximal size of vector to run matrix operations on it inline (i.e. w/o ipp calls) */
#define CV_MAX_INLINE_MAT_OP_SIZE 10
/* maximal linear size of matrix to allocate it on stack. */
#define CV_MAX_LOCAL_MAT_SIZE 32
/* maximal size of local memory storage */
#define CV_MAX_LOCAL_SIZE \
(CV_MAX_LOCAL_MAT_SIZE*CV_MAX_LOCAL_MAT_SIZE*(int)sizeof(double))
/* default image row align (in bytes) */
#define CV_DEFAULT_IMAGE_ROW_ALIGN 4
/* matrices are continuous by default */
#define CV_DEFAULT_MAT_ROW_ALIGN 1
/* maximum size of dynamic memory buffer.
cvAlloc reports an error if a larger block is requested. */
#define CV_MAX_ALLOC_SIZE (((size_t)1 << (sizeof(size_t)*8-2)))
/* the alignment of all the allocated buffers */
#define CV_MALLOC_ALIGN 16
/* default alignment for dynamic data strucutures, resided in storages. */
#define CV_STRUCT_ALIGN ((int)sizeof(double))
/* default storage block size */
#define CV_STORAGE_BLOCK_SIZE ((1<<16) - 128)
/* default memory block for sparse array elements */
#define CV_SPARSE_MAT_BLOCK (1<<12)
/* initial hash table size */
#define CV_SPARSE_HASH_SIZE0 (1<<10)
/* maximal average node_count/hash_size ratio beyond which hash table is resized */
#define CV_SPARSE_HASH_RATIO 3
/* max length of strings */
#define CV_MAX_STRLEN 1024
#if 0 /*def CV_CHECK_FOR_NANS*/
# define CV_CHECK_NANS( arr ) cvCheckArray((arr))
#else
# define CV_CHECK_NANS( arr )
#endif
/****************************************************************************************\
* Common declarations *
\****************************************************************************************/
/* get alloca declaration */
#ifdef __GNUC__
# undef alloca
# define alloca __builtin_alloca
# define CV_HAVE_ALLOCA 1
#elif defined WIN32 || defined _WIN32 || \
defined WINCE || defined _MSC_VER || defined __BORLANDC__
# include <malloc.h>
# define CV_HAVE_ALLOCA 1
#elif defined HAVE_ALLOCA_H
# include <alloca.h>
# define CV_HAVE_ALLOCA 1
#elif defined HAVE_ALLOCA
# include <stdlib.h>
# define CV_HAVE_ALLOCA 1
#else
# undef CV_HAVE_ALLOCA
#endif
#ifdef __GNUC__
# define CV_DECL_ALIGNED(x) __attribute__ ((aligned (x)))
#elif defined _MSC_VER
# define CV_DECL_ALIGNED(x) __declspec(align(x))
#else
# define CV_DECL_ALIGNED(x)
#endif
#if CV_HAVE_ALLOCA
/* ! DO NOT make it an inline function */
# define cvStackAlloc(size) cvAlignPtr( alloca((size) + CV_MALLOC_ALIGN), CV_MALLOC_ALIGN )
#endif
#ifndef CV_IMPL
# define CV_IMPL CV_EXTERN_C
#endif
#define CV_DBG_BREAK() { volatile int* crashMe = 0; *crashMe = 0; }
/* default step, set in case of continuous data
to work around checks for valid step in some ipp functions */
#define CV_STUB_STEP (1 << 30)
#define CV_SIZEOF_FLOAT ((int)sizeof(float))
#define CV_SIZEOF_SHORT ((int)sizeof(short))
#define CV_ORIGIN_TL 0
#define CV_ORIGIN_BL 1
/* IEEE754 constants and macros */
#define CV_POS_INF 0x7f800000
#define CV_NEG_INF 0x807fffff /* CV_TOGGLE_FLT(0xff800000) */
#define CV_1F 0x3f800000
#define CV_TOGGLE_FLT(x) ((x)^((int)(x) < 0 ? 0x7fffffff : 0))
#define CV_TOGGLE_DBL(x) \
((x)^((int64)(x) < 0 ? CV_BIG_INT(0x7fffffffffffffff) : 0))
#define CV_NOP(a) (a)
#define CV_ADD(a, b) ((a) + (b))
#define CV_SUB(a, b) ((a) - (b))
#define CV_MUL(a, b) ((a) * (b))
#define CV_AND(a, b) ((a) & (b))
#define CV_OR(a, b) ((a) | (b))
#define CV_XOR(a, b) ((a) ^ (b))
#define CV_ANDN(a, b) (~(a) & (b))
#define CV_ORN(a, b) (~(a) | (b))
#define CV_SQR(a) ((a) * (a))
#define CV_LT(a, b) ((a) < (b))
#define CV_LE(a, b) ((a) <= (b))
#define CV_EQ(a, b) ((a) == (b))
#define CV_NE(a, b) ((a) != (b))
#define CV_GT(a, b) ((a) > (b))
#define CV_GE(a, b) ((a) >= (b))
#define CV_NONZERO(a) ((a) != 0)
#define CV_NONZERO_FLT(a) (((a)+(a)) != 0)
/* general-purpose saturation macros */
#define CV_CAST_8U(t) (uchar)(!((t) & ~255) ? (t) : (t) > 0 ? 255 : 0)
#define CV_CAST_8S(t) (schar)(!(((t)+128) & ~255) ? (t) : (t) > 0 ? 127 : -128)
#define CV_CAST_16U(t) (ushort)(!((t) & ~65535) ? (t) : (t) > 0 ? 65535 : 0)
#define CV_CAST_16S(t) (short)(!(((t)+32768) & ~65535) ? (t) : (t) > 0 ? 32767 : -32768)
#define CV_CAST_32S(t) (int)(t)
#define CV_CAST_64S(t) (int64)(t)
#define CV_CAST_32F(t) (float)(t)
#define CV_CAST_64F(t) (double)(t)
#define CV_PASTE2(a,b) a##b
#define CV_PASTE(a,b) CV_PASTE2(a,b)
#define CV_EMPTY
#define CV_MAKE_STR(a) #a
#define CV_ZERO_OBJ(x) memset((x), 0, sizeof(*(x)))
#define CV_DIM(static_array) ((int)(sizeof(static_array)/sizeof((static_array)[0])))
#define cvUnsupportedFormat "Unsupported format"
CV_INLINE void* cvAlignPtr( const void* ptr, int align CV_DEFAULT(32) )
{
assert( (align & (align-1)) == 0 );
return (void*)( ((size_t)ptr + align - 1) & ~(size_t)(align-1) );
}
CV_INLINE int cvAlign( int size, int align )
{
assert( (align & (align-1)) == 0 && size < INT_MAX );
return (size + align - 1) & -align;
}
CV_INLINE CvSize cvGetMatSize( const CvMat* mat )
{
CvSize size;
size.width = mat->cols;
size.height = mat->rows;
return size;
}
#define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n))
#define CV_FLT_TO_FIX(x,n) cvRound((x)*(1<<(n)))
/****************************************************************************************\
* Structures and macros for integration with IPP *
\****************************************************************************************/
/* IPP-compatible return codes */
typedef enum CvStatus
{
CV_BADMEMBLOCK_ERR = -113,
CV_INPLACE_NOT_SUPPORTED_ERR= -112,
CV_UNMATCHED_ROI_ERR = -111,
CV_NOTFOUND_ERR = -110,
CV_BADCONVERGENCE_ERR = -109,
CV_BADDEPTH_ERR = -107,
CV_BADROI_ERR = -106,
CV_BADHEADER_ERR = -105,
CV_UNMATCHED_FORMATS_ERR = -104,
CV_UNSUPPORTED_COI_ERR = -103,
CV_UNSUPPORTED_CHANNELS_ERR = -102,
CV_UNSUPPORTED_DEPTH_ERR = -101,
CV_UNSUPPORTED_FORMAT_ERR = -100,
CV_BADARG_ERR = -49, //ipp comp
CV_NOTDEFINED_ERR = -48, //ipp comp
CV_BADCHANNELS_ERR = -47, //ipp comp
CV_BADRANGE_ERR = -44, //ipp comp
CV_BADSTEP_ERR = -29, //ipp comp
CV_BADFLAG_ERR = -12,
CV_DIV_BY_ZERO_ERR = -11, //ipp comp
CV_BADCOEF_ERR = -10,
CV_BADFACTOR_ERR = -7,
CV_BADPOINT_ERR = -6,
CV_BADSCALE_ERR = -4,
CV_OUTOFMEM_ERR = -3,
CV_NULLPTR_ERR = -2,
CV_BADSIZE_ERR = -1,
CV_NO_ERR = 0,
CV_OK = CV_NO_ERR
}
CvStatus;
#define CV_NOTHROW throw()
typedef struct CvFuncTable
{
void* fn_2d[CV_DEPTH_MAX];
}
CvFuncTable;
typedef struct CvBigFuncTable
{
void* fn_2d[CV_DEPTH_MAX*4];
} CvBigFuncTable;
#define CV_INIT_FUNC_TAB( tab, FUNCNAME, FLAG ) \
(tab).fn_2d[CV_8U] = (void*)FUNCNAME##_8u##FLAG; \
(tab).fn_2d[CV_8S] = 0; \
(tab).fn_2d[CV_16U] = (void*)FUNCNAME##_16u##FLAG; \
(tab).fn_2d[CV_16S] = (void*)FUNCNAME##_16s##FLAG; \
(tab).fn_2d[CV_32S] = (void*)FUNCNAME##_32s##FLAG; \
(tab).fn_2d[CV_32F] = (void*)FUNCNAME##_32f##FLAG; \
(tab).fn_2d[CV_64F] = (void*)FUNCNAME##_64f##FLAG
namespace cv { namespace ogl {
CV_EXPORTS bool checkError(const char* file, const int line, const char* func = "");
}}
#if defined(__GNUC__)
#define CV_CheckGlError() CV_DbgAssert( (cv::ogl::checkError(__FILE__, __LINE__, __func__)) )
#else
#define CV_CheckGlError() CV_DbgAssert( (cv::ogl::checkError(__FILE__, __LINE__)) )
#endif
#endif // __OPENCV_CORE_INTERNAL_HPP__
modules/core/include/opencv2/core/mat.hpp
+1765 -2344
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modules/core/include/opencv2/core/mat.inl.hpp
+2949
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modules/core/include/opencv2/core/matx.hpp
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modules/core/include/opencv2/core/opengl.hpp
+1 -5
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@@ -43,8 +43,6 @@
#ifndef __OPENCV_OPENGL_INTEROP_HPP__
#define __OPENCV_OPENGL_INTEROP_HPP__
#ifdef __cplusplus
#include "opencv2/core.hpp"
namespace cv { namespace ogl {
@@ -269,7 +267,7 @@ namespace cv { namespace gpu {
//! set a CUDA device to use OpenGL interoperability
CV_EXPORTS void setGlDevice(int device = 0);
}}
}} // cv::gpu
namespace cv {
@@ -278,6 +276,4 @@ template <> CV_EXPORTS void Ptr<cv::ogl::Texture2D::Impl>::delete_obj();
}
#endif // __cplusplus
#endif // __OPENCV_OPENGL_INTEROP_HPP__
modules/core/include/opencv2/core/operations.hpp
+210 -3402
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modules/core/include/opencv2/core/persistence.hpp
+817
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@@ -0,0 +1,817 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_CORE_PERSISTENCE_HPP__
#define __OPENCV_CORE_PERSISTENCE_HPP__
#ifndef __cplusplus
# error persistence.hpp header must be compiled as C++
#endif
// black-box structures used by FileStorage
typedef struct CvFileStorage CvFileStorage;
typedef struct CvFileNode CvFileNode;
#include "opencv2/core/types.hpp"
#include "opencv2/core/mat.hpp"
namespace cv {
////////////////////////// XML & YAML I/O //////////////////////////
class CV_EXPORTS FileNode;
class CV_EXPORTS FileNodeIterator;
/*!
XML/YAML File Storage Class.
The class describes an object associated with XML or YAML file.
It can be used to store data to such a file or read and decode the data.
The storage is organized as a tree of nested sequences (or lists) and mappings.
Sequence is a heterogenious array, which elements are accessed by indices or sequentially using an iterator.
Mapping is analogue of std::map or C structure, which elements are accessed by names.
The most top level structure is a mapping.
Leaves of the file storage tree are integers, floating-point numbers and text strings.
For example, the following code:
\code
// open file storage for writing. Type of the file is determined from the extension
FileStorage fs("test.yml", FileStorage::WRITE);
fs << "test_int" << 5 << "test_real" << 3.1 << "test_string" << "ABCDEFGH";
fs << "test_mat" << Mat::eye(3,3,CV_32F);
fs << "test_list" << "[" << 0.0000000000001 << 2 << CV_PI << -3435345 << "2-502 2-029 3egegeg" <<
"{:" << "month" << 12 << "day" << 31 << "year" << 1969 << "}" << "]";
fs << "test_map" << "{" << "x" << 1 << "y" << 2 << "width" << 100 << "height" << 200 << "lbp" << "[:";
const uchar arr[] = {0, 1, 1, 0, 1, 1, 0, 1};
fs.writeRaw("u", arr, (int)(sizeof(arr)/sizeof(arr[0])));
fs << "]" << "}";
\endcode
will produce the following file:
\verbatim
%YAML:1.0
test_int: 5
test_real: 3.1000000000000001e+00
test_string: ABCDEFGH
test_mat: !!opencv-matrix
rows: 3
cols: 3
dt: f
data: [ 1., 0., 0., 0., 1., 0., 0., 0., 1. ]
test_list:
- 1.0000000000000000e-13
- 2
- 3.1415926535897931e+00
- -3435345
- "2-502 2-029 3egegeg"
- { month:12, day:31, year:1969 }
test_map:
x: 1
y: 2
width: 100
height: 200
lbp: [ 0, 1, 1, 0, 1, 1, 0, 1 ]
\endverbatim
and to read the file above, the following code can be used:
\code
// open file storage for reading.
// Type of the file is determined from the content, not the extension
FileStorage fs("test.yml", FileStorage::READ);
int test_int = (int)fs["test_int"];
double test_real = (double)fs["test_real"];
String test_string = (String)fs["test_string"];
Mat M;
fs["test_mat"] >> M;
FileNode tl = fs["test_list"];
CV_Assert(tl.type() == FileNode::SEQ && tl.size() == 6);
double tl0 = (double)tl[0];
int tl1 = (int)tl[1];
double tl2 = (double)tl[2];
int tl3 = (int)tl[3];
String tl4 = (String)tl[4];
CV_Assert(tl[5].type() == FileNode::MAP && tl[5].size() == 3);
int month = (int)tl[5]["month"];
int day = (int)tl[5]["day"];
int year = (int)tl[5]["year"];
FileNode tm = fs["test_map"];
int x = (int)tm["x"];
int y = (int)tm["y"];
int width = (int)tm["width"];
int height = (int)tm["height"];
int lbp_val = 0;
FileNodeIterator it = tm["lbp"].begin();
for(int k = 0; k < 8; k++, ++it)
lbp_val |= ((int)*it) << k;
\endcode
*/
class CV_EXPORTS_W FileStorage
{
public:
//! file storage mode
enum
{
READ = 0, //! read mode
WRITE = 1, //! write mode
APPEND = 2, //! append mode
MEMORY = 4,
FORMAT_MASK = (7<<3),
FORMAT_AUTO = 0,
FORMAT_XML = (1<<3),
FORMAT_YAML = (2<<3)
};
enum
{
UNDEFINED = 0,
VALUE_EXPECTED = 1,
NAME_EXPECTED = 2,
INSIDE_MAP = 4
};
//! the default constructor
CV_WRAP FileStorage();
//! the full constructor that opens file storage for reading or writing
CV_WRAP FileStorage(const String& source, int flags, const String& encoding=String());
//! the constructor that takes pointer to the C FileStorage structure
FileStorage(CvFileStorage* fs);
//! the destructor. calls release()
virtual ~FileStorage();
//! opens file storage for reading or writing. The previous storage is closed with release()
CV_WRAP virtual bool open(const String& filename, int flags, const String& encoding=String());
//! returns true if the object is associated with currently opened file.
CV_WRAP virtual bool isOpened() const;
//! closes the file and releases all the memory buffers
CV_WRAP virtual void release();
//! closes the file, releases all the memory buffers and returns the text string
CV_WRAP virtual String releaseAndGetString();
//! returns the first element of the top-level mapping
CV_WRAP FileNode getFirstTopLevelNode() const;
//! returns the top-level mapping. YAML supports multiple streams
CV_WRAP FileNode root(int streamidx=0) const;
//! returns the specified element of the top-level mapping
FileNode operator[](const String& nodename) const;
//! returns the specified element of the top-level mapping
CV_WRAP FileNode operator[](const char* nodename) const;
//! returns pointer to the underlying C FileStorage structure
CvFileStorage* operator *() { return fs; }
//! returns pointer to the underlying C FileStorage structure
const CvFileStorage* operator *() const { return fs; }
//! writes one or more numbers of the specified format to the currently written structure
void writeRaw( const String& fmt, const uchar* vec, size_t len );
//! writes the registered C structure (CvMat, CvMatND, CvSeq). See cvWrite()
void writeObj( const String& name, const void* obj );
//! returns the normalized object name for the specified file name
static String getDefaultObjectName(const String& filename);
Ptr<CvFileStorage> fs; //!< the underlying C FileStorage structure
String elname; //!< the currently written element
std::vector<char> structs; //!< the stack of written structures
int state; //!< the writer state
};
template<> CV_EXPORTS void Ptr<CvFileStorage>::delete_obj();
/*!
File Storage Node class
The node is used to store each and every element of the file storage opened for reading -
from the primitive objects, such as numbers and text strings, to the complex nodes:
sequences, mappings and the registered objects.
Note that file nodes are only used for navigating file storages opened for reading.
When a file storage is opened for writing, no data is stored in memory after it is written.
*/
class CV_EXPORTS_W_SIMPLE FileNode
{
public:
//! type of the file storage node
enum
{
NONE = 0, //!< empty node
INT = 1, //!< an integer
REAL = 2, //!< floating-point number
FLOAT = REAL, //!< synonym or REAL
STR = 3, //!< text string in UTF-8 encoding
STRING = STR, //!< synonym for STR
REF = 4, //!< integer of size size_t. Typically used for storing complex dynamic structures where some elements reference the others
SEQ = 5, //!< sequence
MAP = 6, //!< mapping
TYPE_MASK = 7,
FLOW = 8, //!< compact representation of a sequence or mapping. Used only by YAML writer
USER = 16, //!< a registered object (e.g. a matrix)
EMPTY = 32, //!< empty structure (sequence or mapping)
NAMED = 64 //!< the node has a name (i.e. it is element of a mapping)
};
//! the default constructor
CV_WRAP FileNode();
//! the full constructor wrapping CvFileNode structure.
FileNode(const CvFileStorage* fs, const CvFileNode* node);
//! the copy constructor
FileNode(const FileNode& node);
//! returns element of a mapping node
FileNode operator[](const String& nodename) const;
//! returns element of a mapping node
CV_WRAP FileNode operator[](const char* nodename) const;
//! returns element of a sequence node
CV_WRAP FileNode operator[](int i) const;
//! returns type of the node
CV_WRAP int type() const;
//! returns true if the node is empty
CV_WRAP bool empty() const;
//! returns true if the node is a "none" object
CV_WRAP bool isNone() const;
//! returns true if the node is a sequence
CV_WRAP bool isSeq() const;
//! returns true if the node is a mapping
CV_WRAP bool isMap() const;
//! returns true if the node is an integer
CV_WRAP bool isInt() const;
//! returns true if the node is a floating-point number
CV_WRAP bool isReal() const;
//! returns true if the node is a text string
CV_WRAP bool isString() const;
//! returns true if the node has a name
CV_WRAP bool isNamed() const;
//! returns the node name or an empty string if the node is nameless
CV_WRAP String name() const;
//! returns the number of elements in the node, if it is a sequence or mapping, or 1 otherwise.
CV_WRAP size_t size() const;
//! returns the node content as an integer. If the node stores floating-point number, it is rounded.
operator int() const;
//! returns the node content as float
operator float() const;
//! returns the node content as double
operator double() const;
//! returns the node content as text string
operator String() const;
#ifndef OPENCV_NOSTL
operator std::string() const;
#endif
//! returns pointer to the underlying file node
CvFileNode* operator *();
//! returns pointer to the underlying file node
const CvFileNode* operator* () const;
//! returns iterator pointing to the first node element
FileNodeIterator begin() const;
//! returns iterator pointing to the element following the last node element
FileNodeIterator end() const;
//! reads node elements to the buffer with the specified format
void readRaw( const String& fmt, uchar* vec, size_t len ) const;
//! reads the registered object and returns pointer to it
void* readObj() const;
// do not use wrapper pointer classes for better efficiency
const CvFileStorage* fs;
const CvFileNode* node;
};
/*!
File Node Iterator
The class is used for iterating sequences (usually) and mappings.
*/
class CV_EXPORTS FileNodeIterator
{
public:
//! the default constructor
FileNodeIterator();
//! the full constructor set to the ofs-th element of the node
FileNodeIterator(const CvFileStorage* fs, const CvFileNode* node, size_t ofs=0);
//! the copy constructor
FileNodeIterator(const FileNodeIterator& it);
//! returns the currently observed element
FileNode operator *() const;
//! accesses the currently observed element methods
FileNode operator ->() const;
//! moves iterator to the next node
FileNodeIterator& operator ++ ();
//! moves iterator to the next node
FileNodeIterator operator ++ (int);
//! moves iterator to the previous node
FileNodeIterator& operator -- ();
//! moves iterator to the previous node
FileNodeIterator operator -- (int);
//! moves iterator forward by the specified offset (possibly negative)
FileNodeIterator& operator += (int ofs);
//! moves iterator backward by the specified offset (possibly negative)
FileNodeIterator& operator -= (int ofs);
//! reads the next maxCount elements (or less, if the sequence/mapping last element occurs earlier) to the buffer with the specified format
FileNodeIterator& readRaw( const String& fmt, uchar* vec,
size_t maxCount=(size_t)INT_MAX );
struct SeqReader
{
int header_size;
void* seq; /* sequence, beign read; CvSeq */
void* block; /* current block; CvSeqBlock */
schar* ptr; /* pointer to element be read next */
schar* block_min; /* pointer to the beginning of block */
schar* block_max; /* pointer to the end of block */
int delta_index;/* = seq->first->start_index */
schar* prev_elem; /* pointer to previous element */
};
const CvFileStorage* fs;
const CvFileNode* container;
SeqReader reader;
size_t remaining;
};
/////////////////// XML & YAML I/O implementation //////////////////
CV_EXPORTS void write( FileStorage& fs, const String& name, int value );
CV_EXPORTS void write( FileStorage& fs, const String& name, float value );
CV_EXPORTS void write( FileStorage& fs, const String& name, double value );
CV_EXPORTS void write( FileStorage& fs, const String& name, const String& value );
CV_EXPORTS void write( FileStorage& fs, const String& name, const Mat& value );
CV_EXPORTS void write( FileStorage& fs, const String& name, const SparseMat& value );
CV_EXPORTS void write( FileStorage& fs, const String& name, const std::vector<KeyPoint>& value);
CV_EXPORTS void writeScalar( FileStorage& fs, int value );
CV_EXPORTS void writeScalar( FileStorage& fs, float value );
CV_EXPORTS void writeScalar( FileStorage& fs, double value );
CV_EXPORTS void writeScalar( FileStorage& fs, const String& value );
CV_EXPORTS void read(const FileNode& node, int& value, int default_value);
CV_EXPORTS void read(const FileNode& node, float& value, float default_value);
CV_EXPORTS void read(const FileNode& node, double& value, double default_value);
CV_EXPORTS void read(const FileNode& node, String& value, const String& default_value);
CV_EXPORTS void read(const FileNode& node, Mat& mat, const Mat& default_mat = Mat() );
CV_EXPORTS void read(const FileNode& node, SparseMat& mat, const SparseMat& default_mat = SparseMat() );
CV_EXPORTS void read(const FileNode& node, std::vector<KeyPoint>& keypoints);
CV_EXPORTS FileStorage& operator << (FileStorage& fs, const String& str);
namespace internal
{
class CV_EXPORTS WriteStructContext
{
public:
WriteStructContext(FileStorage& _fs, const String& name, int flags, const String& typeName = String());
~WriteStructContext();
private:
FileStorage* fs;
};
template<typename _Tp, int numflag> class VecWriterProxy
{
public:
VecWriterProxy( FileStorage* _fs ) : fs(_fs) {}
void operator()(const std::vector<_Tp>& vec) const
{
size_t count = vec.size();
for (size_t i = 0; i < count; i++)
write(*fs, vec[i]);
}
private:
FileStorage* fs;
};
template<typename _Tp> class VecWriterProxy<_Tp, 1>
{
public:
VecWriterProxy( FileStorage* _fs ) : fs(_fs) {}
void operator()(const std::vector<_Tp>& vec) const
{
int _fmt = DataType<_Tp>::fmt;
char fmt[] = { (char)((_fmt >> 8) + '1'), (char)_fmt, '\0' };
fs->writeRaw(fmt, !vec.empty() ? (uchar*)&vec[0] : 0, vec.size() * sizeof(_Tp));
}
private:
FileStorage* fs;
};
template<typename _Tp, int numflag> class VecReaderProxy
{
public:
VecReaderProxy( FileNodeIterator* _it ) : it(_it) {}
void operator()(std::vector<_Tp>& vec, size_t count) const
{
count = std::min(count, it->remaining);
vec.resize(count);
for (size_t i = 0; i < count; i++, ++(*it))
read(**it, vec[i], _Tp());
}
private:
FileNodeIterator* it;
};
template<typename _Tp> class VecReaderProxy<_Tp, 1>
{
public:
VecReaderProxy( FileNodeIterator* _it ) : it(_it) {}
void operator()(std::vector<_Tp>& vec, size_t count) const
{
size_t remaining = it->remaining;
size_t cn = DataType<_Tp>::channels;
int _fmt = DataType<_Tp>::fmt;
char fmt[] = { (char)((_fmt >> 8)+'1'), (char)_fmt, '\0' };
size_t remaining1 = remaining / cn;
count = count < remaining1 ? count : remaining1;
vec.resize(count);
it->readRaw(fmt, !vec.empty() ? (uchar*)&vec[0] : 0, count*sizeof(_Tp));
}
private:
FileNodeIterator* it;
};
} // internal
template<typename _Tp> static inline
void write(FileStorage& fs, const _Tp& value)
{
write(fs, String(), value);
}
template<> inline
void write( FileStorage& fs, const int& value )
{
writeScalar(fs, value);
}
template<> inline
void write( FileStorage& fs, const float& value )
{
writeScalar(fs, value);
}
template<> inline
void write( FileStorage& fs, const double& value )
{
writeScalar(fs, value);
}
template<> inline
void write( FileStorage& fs, const String& value )
{
writeScalar(fs, value);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const Point_<_Tp>& pt )
{
write(fs, pt.x);
write(fs, pt.y);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const Point3_<_Tp>& pt )
{
write(fs, pt.x);
write(fs, pt.y);
write(fs, pt.z);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const Size_<_Tp>& sz )
{
write(fs, sz.width);
write(fs, sz.height);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const Complex<_Tp>& c )
{
write(fs, c.re);
write(fs, c.im);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const Rect_<_Tp>& r )
{
write(fs, r.x);
write(fs, r.y);
write(fs, r.width);
write(fs, r.height);
}
template<typename _Tp, int cn> static inline
void write(FileStorage& fs, const Vec<_Tp, cn>& v )
{
for(int i = 0; i < cn; i++)
write(fs, v.val[i]);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const Scalar_<_Tp>& s )
{
write(fs, s.val[0]);
write(fs, s.val[1]);
write(fs, s.val[2]);
write(fs, s.val[3]);
}
static inline
void write(FileStorage& fs, const Range& r )
{
write(fs, r.start);
write(fs, r.end);
}
template<typename _Tp> static inline
void write( FileStorage& fs, const std::vector<_Tp>& vec )
{
internal::VecWriterProxy<_Tp, DataType<_Tp>::fmt != 0> w(&fs);
w(vec);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const String& name, const Point_<_Tp>& pt )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, pt);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const String& name, const Point3_<_Tp>& pt )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, pt);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const String& name, const Size_<_Tp>& sz )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, sz);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const String& name, const Complex<_Tp>& c )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, c);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const String& name, const Rect_<_Tp>& r )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, r);
}
template<typename _Tp, int cn> static inline
void write(FileStorage& fs, const String& name, const Vec<_Tp, cn>& v )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, v);
}
template<typename _Tp> static inline
void write(FileStorage& fs, const String& name, const Scalar_<_Tp>& s )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, s);
}
static inline
void write(FileStorage& fs, const String& name, const Range& r )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
write(fs, r);
}
template<typename _Tp> static inline
void write( FileStorage& fs, const String& name, const std::vector<_Tp>& vec )
{
internal::WriteStructContext ws(fs, name, FileNode::SEQ+(DataType<_Tp>::fmt != 0 ? FileNode::FLOW : 0));
write(fs, vec);
}
static inline
void read(const FileNode& node, bool& value, bool default_value)
{
int temp;
read(node, temp, (int)default_value);
value = temp != 0;
}
static inline
void read(const FileNode& node, uchar& value, uchar default_value)
{
int temp;
read(node, temp, (int)default_value);
value = saturate_cast<uchar>(temp);
}
static inline
void read(const FileNode& node, schar& value, schar default_value)
{
int temp;
read(node, temp, (int)default_value);
value = saturate_cast<schar>(temp);
}
static inline
void read(const FileNode& node, ushort& value, ushort default_value)
{
int temp;
read(node, temp, (int)default_value);
value = saturate_cast<ushort>(temp);
}
static inline
void read(const FileNode& node, short& value, short default_value)
{
int temp;
read(node, temp, (int)default_value);
value = saturate_cast<short>(temp);
}
template<typename _Tp> static inline
void read( FileNodeIterator& it, std::vector<_Tp>& vec, size_t maxCount = (size_t)INT_MAX )
{
internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
r(vec, maxCount);
}
template<typename _Tp> static inline
void read( const FileNode& node, std::vector<_Tp>& vec, const std::vector<_Tp>& default_value = std::vector<_Tp>() )
{
if(!node.node)
vec = default_value;
else
{
FileNodeIterator it = node.begin();
read( it, vec );
}
}
template<typename _Tp> static inline
FileStorage& operator << (FileStorage& fs, const _Tp& value)
{
if( !fs.isOpened() )
return fs;
if( fs.state == FileStorage::NAME_EXPECTED + FileStorage::INSIDE_MAP )
CV_Error( Error::StsError, "No element name has been given" );
write( fs, fs.elname, value );
if( fs.state & FileStorage::INSIDE_MAP )
fs.state = FileStorage::NAME_EXPECTED + FileStorage::INSIDE_MAP;
return fs;
}
static inline
FileStorage& operator << (FileStorage& fs, const char* str)
{
return (fs << String(str));
}
static inline
FileStorage& operator << (FileStorage& fs, char* value)
{
return (fs << String(value));
}
template<typename _Tp> static inline
FileNodeIterator& operator >> (FileNodeIterator& it, _Tp& value)
{
read( *it, value, _Tp());
return ++it;
}
template<typename _Tp> static inline
FileNodeIterator& operator >> (FileNodeIterator& it, std::vector<_Tp>& vec)
{
internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
r(vec, (size_t)INT_MAX);
return it;
}
template<typename _Tp> static inline
void operator >> (const FileNode& n, _Tp& value)
{
read( n, value, _Tp());
}
template<typename _Tp> static inline
void operator >> (const FileNode& n, std::vector<_Tp>& vec)
{
FileNodeIterator it = n.begin();
it >> vec;
}
static inline
bool operator == (const FileNodeIterator& it1, const FileNodeIterator& it2)
{
return it1.fs == it2.fs && it1.container == it2.container &&
it1.reader.ptr == it2.reader.ptr && it1.remaining == it2.remaining;
}
static inline
bool operator != (const FileNodeIterator& it1, const FileNodeIterator& it2)
{
return !(it1 == it2);
}
static inline
ptrdiff_t operator - (const FileNodeIterator& it1, const FileNodeIterator& it2)
{
return it2.remaining - it1.remaining;
}
static inline
bool operator < (const FileNodeIterator& it1, const FileNodeIterator& it2)
{
return it1.remaining > it2.remaining;
}
inline FileNode FileStorage::getFirstTopLevelNode() const { FileNode r = root(); FileNodeIterator it = r.begin(); return it != r.end() ? *it : FileNode(); }
inline FileNode::FileNode() : fs(0), node(0) {}
inline FileNode::FileNode(const CvFileStorage* _fs, const CvFileNode* _node) : fs(_fs), node(_node) {}
inline FileNode::FileNode(const FileNode& _node) : fs(_node.fs), node(_node.node) {}
inline bool FileNode::empty() const { return node == 0; }
inline bool FileNode::isNone() const { return type() == NONE; }
inline bool FileNode::isSeq() const { return type() == SEQ; }
inline bool FileNode::isMap() const { return type() == MAP; }
inline bool FileNode::isInt() const { return type() == INT; }
inline bool FileNode::isReal() const { return type() == REAL; }
inline bool FileNode::isString() const { return type() == STR; }
inline CvFileNode* FileNode::operator *() { return (CvFileNode*)node; }
inline const CvFileNode* FileNode::operator* () const { return node; }
inline FileNode::operator int() const { int value; read(*this, value, 0); return value; }
inline FileNode::operator float() const { float value; read(*this, value, 0.f); return value; }
inline FileNode::operator double() const { double value; read(*this, value, 0.); return value; }
inline FileNode::operator String() const { String value; read(*this, value, value); return value; }
inline FileNodeIterator FileNode::begin() const { return FileNodeIterator(fs, node); }
inline FileNodeIterator FileNode::end() const { return FileNodeIterator(fs, node, size()); }
inline void FileNode::readRaw( const String& fmt, uchar* vec, size_t len ) const { begin().readRaw( fmt, vec, len ); }
inline FileNode FileNodeIterator::operator *() const { return FileNode(fs, (const CvFileNode*)reader.ptr); }
inline FileNode FileNodeIterator::operator ->() const { return FileNode(fs, (const CvFileNode*)reader.ptr); }
inline String::String(const FileNode& fn): cstr_(0), len_(0) { read(fn, *this, *this); }
} // cv
#endif // __OPENCV_CORE_PERSISTENCE_HPP__
modules/core/include/opencv2/core/private.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_CORE_PRIVATE_HPP__
#define __OPENCV_CORE_PRIVATE_HPP__
#ifndef __OPENCV_BUILD
# error this is a private header which should not be used from outside of the OpenCV library
#endif
#include "opencv2/core.hpp"
#include "cvconfig.h"
#ifdef HAVE_EIGEN
# if defined __GNUC__ && defined __APPLE__
# pragma GCC diagnostic ignored "-Wshadow"
# endif
# include <Eigen/Core>
# include "opencv2/core/eigen.hpp"
#endif
#ifdef HAVE_TBB
# include "tbb/tbb_stddef.h"
# if TBB_VERSION_MAJOR*100 + TBB_VERSION_MINOR >= 202
# include "tbb/tbb.h"
# include "tbb/task.h"
# undef min
# undef max
# else
# undef HAVE_TBB
# endif
#endif
namespace cv
{
#ifdef HAVE_TBB
typedef tbb::blocked_range<int> BlockedRange;
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
tbb::parallel_for(range, body);
}
typedef tbb::split Split;
template<typename Body> static inline
void parallel_reduce( const BlockedRange& range, Body& body )
{
tbb::parallel_reduce(range, body);
}
typedef tbb::concurrent_vector<Rect> ConcurrentRectVector;
#else
class BlockedRange
{
public:
BlockedRange() : _begin(0), _end(0), _grainsize(0) {}
BlockedRange(int b, int e, int g=1) : _begin(b), _end(e), _grainsize(g) {}
int begin() const { return _begin; }
int end() const { return _end; }
int grainsize() const { return _grainsize; }
protected:
int _begin, _end, _grainsize;
};
template<typename Body> static inline
void parallel_for( const BlockedRange& range, const Body& body )
{
body(range);
}
typedef std::vector<Rect> ConcurrentRectVector;
class Split {};
template<typename Body> static inline
void parallel_reduce( const BlockedRange& range, Body& body )
{
body(range);
}
#endif
} //namespace cv
#define CV_INIT_ALGORITHM(classname, algname, memberinit) \
static ::cv::Algorithm* create##classname##_hidden() \
{ \
return new classname; \
} \
\
static ::cv::AlgorithmInfo& classname##_info() \
{ \
static ::cv::AlgorithmInfo classname##_info_var(algname, create##classname##_hidden); \
return classname##_info_var; \
} \
\
static ::cv::AlgorithmInfo& classname##_info_auto = classname##_info(); \
\
::cv::AlgorithmInfo* classname::info() const \
{ \
static volatile bool initialized = false; \
\
if( !initialized ) \
{ \
initialized = true; \
classname obj; \
memberinit; \
} \
return &classname##_info(); \
}
/****************************************************************************************\
* Common declarations *
\****************************************************************************************/
/* the alignment of all the allocated buffers */
#define CV_MALLOC_ALIGN 16
#ifdef __GNUC__
# define CV_DECL_ALIGNED(x) __attribute__ ((aligned (x)))
#elif defined _MSC_VER
# define CV_DECL_ALIGNED(x) __declspec(align(x))
#else
# define CV_DECL_ALIGNED(x)
#endif
/* IEEE754 constants and macros */
#define CV_TOGGLE_FLT(x) ((x)^((int)(x) < 0 ? 0x7fffffff : 0))
#define CV_TOGGLE_DBL(x) ((x)^((int64)(x) < 0 ? CV_BIG_INT(0x7fffffffffffffff) : 0))
static inline void* cvAlignPtr( const void* ptr, int align = 32 )
{
CV_DbgAssert ( (align & (align-1)) == 0 );
return (void*)( ((size_t)ptr + align - 1) & ~(size_t)(align-1) );
}
static inline int cvAlign( int size, int align )
{
CV_DbgAssert( (align & (align-1)) == 0 && size < INT_MAX );
return (size + align - 1) & -align;
}
#ifdef IPL_DEPTH_8U
static inline cv::Size cvGetMatSize( const CvMat* mat )
{
return cv::Size(mat->cols, mat->rows);
}
#endif
namespace cv
{
CV_EXPORTS void scalarToRawData(const cv::Scalar& s, void* buf, int type, int unroll_to = 0);
}
/****************************************************************************************\
* Structures and macros for integration with IPP *
\****************************************************************************************/
#ifdef HAVE_IPP
# include "ipp.h"
static inline IppiSize ippiSize(int width, int height)
{
IppiSize size = { width, height };
return size;
}
#endif
#ifndef IPPI_CALL
# define IPPI_CALL(func) CV_Assert((func) >= 0)
#endif
/* IPP-compatible return codes */
typedef enum CvStatus
{
CV_BADMEMBLOCK_ERR = -113,
CV_INPLACE_NOT_SUPPORTED_ERR= -112,
CV_UNMATCHED_ROI_ERR = -111,
CV_NOTFOUND_ERR = -110,
CV_BADCONVERGENCE_ERR = -109,
CV_BADDEPTH_ERR = -107,
CV_BADROI_ERR = -106,
CV_BADHEADER_ERR = -105,
CV_UNMATCHED_FORMATS_ERR = -104,
CV_UNSUPPORTED_COI_ERR = -103,
CV_UNSUPPORTED_CHANNELS_ERR = -102,
CV_UNSUPPORTED_DEPTH_ERR = -101,
CV_UNSUPPORTED_FORMAT_ERR = -100,
CV_BADARG_ERR = -49, //ipp comp
CV_NOTDEFINED_ERR = -48, //ipp comp
CV_BADCHANNELS_ERR = -47, //ipp comp
CV_BADRANGE_ERR = -44, //ipp comp
CV_BADSTEP_ERR = -29, //ipp comp
CV_BADFLAG_ERR = -12,
CV_DIV_BY_ZERO_ERR = -11, //ipp comp
CV_BADCOEF_ERR = -10,
CV_BADFACTOR_ERR = -7,
CV_BADPOINT_ERR = -6,
CV_BADSCALE_ERR = -4,
CV_OUTOFMEM_ERR = -3,
CV_NULLPTR_ERR = -2,
CV_BADSIZE_ERR = -1,
CV_NO_ERR = 0,
CV_OK = CV_NO_ERR
}
CvStatus;
/****************************************************************************************\
* Auxiliary algorithms *
\****************************************************************************************/
namespace cv
{
// This function splits the input sequence or set into one or more equivalence classes and
// returns the vector of labels - 0-based class indexes for each element.
// predicate(a,b) returns true if the two sequence elements certainly belong to the same class.
//
// The algorithm is described in "Introduction to Algorithms"
// by Cormen, Leiserson and Rivest, the chapter "Data structures for disjoint sets"
template<typename _Tp, class _EqPredicate> int
partition( const std::vector<_Tp>& _vec, std::vector<int>& labels,
_EqPredicate predicate=_EqPredicate())
{
int i, j, N = (int)_vec.size();
const _Tp* vec = &_vec[0];
const int PARENT=0;
const int RANK=1;
std::vector<int> _nodes(N*2);
int (*nodes)[2] = (int(*)[2])&_nodes[0];
// The first O(N) pass: create N single-vertex trees
for(i = 0; i < N; i++)
{
nodes[i][PARENT]=-1;
nodes[i][RANK] = 0;
}
// The main O(N^2) pass: merge connected components
for( i = 0; i < N; i++ )
{
int root = i;
// find root
while( nodes[root][PARENT] >= 0 )
root = nodes[root][PARENT];
for( j = 0; j < N; j++ )
{
if( i == j || !predicate(vec[i], vec[j]))
continue;
int root2 = j;
while( nodes[root2][PARENT] >= 0 )
root2 = nodes[root2][PARENT];
if( root2 != root )
{
// unite both trees
int rank = nodes[root][RANK], rank2 = nodes[root2][RANK];
if( rank > rank2 )
nodes[root2][PARENT] = root;
else
{
nodes[root][PARENT] = root2;
nodes[root2][RANK] += rank == rank2;
root = root2;
}
CV_Assert( nodes[root][PARENT] < 0 );
int k = j, parent;
// compress the path from node2 to root
while( (parent = nodes[k][PARENT]) >= 0 )
{
nodes[k][PARENT] = root;
k = parent;
}
// compress the path from node to root
k = i;
while( (parent = nodes[k][PARENT]) >= 0 )
{
nodes[k][PARENT] = root;
k = parent;
}
}
}
}
// Final O(N) pass: enumerate classes
labels.resize(N);
int nclasses = 0;
for( i = 0; i < N; i++ )
{
int root = i;
while( nodes[root][PARENT] >= 0 )
root = nodes[root][PARENT];
// re-use the rank as the class label
if( nodes[root][RANK] >= 0 )
nodes[root][RANK] = ~nclasses++;
labels[i] = ~nodes[root][RANK];
}
return nclasses;
}
} // namespace cv
#endif // __OPENCV_CORE_PRIVATE_HPP__
modules/core/include/opencv2/core/traits.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_CORE_TRAITS_HPP__
#define __OPENCV_CORE_TRAITS_HPP__
#include "opencv2/core/cvdef.h"
namespace cv
{
/*!
Informative template class for OpenCV "scalars".
The class is specialized for each primitive numerical type supported by OpenCV (such as unsigned char or float),
as well as for more complex types, like cv::Complex<>, std::complex<>, cv::Vec<> etc.
The common property of all such types (called "scalars", do not confuse it with cv::Scalar_)
is that each of them is basically a tuple of numbers of the same type. Each "scalar" can be represented
by the depth id (CV_8U ... CV_64F) and the number of channels.
OpenCV matrices, 2D or nD, dense or sparse, can store "scalars",
as long as the number of channels does not exceed CV_CN_MAX.
*/
template<typename _Tp> class DataType
{
public:
typedef _Tp value_type;
typedef value_type work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 1,
depth = -1,
channels = 1,
fmt = 0,
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<bool>
{
public:
typedef bool value_type;
typedef int work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_8U,
channels = 1,
fmt = (int)'u',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<uchar>
{
public:
typedef uchar value_type;
typedef int work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_8U,
channels = 1,
fmt = (int)'u',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<schar>
{
public:
typedef schar value_type;
typedef int work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_8S,
channels = 1,
fmt = (int)'c',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<char>
{
public:
typedef schar value_type;
typedef int work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_8S,
channels = 1,
fmt = (int)'c',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<ushort>
{
public:
typedef ushort value_type;
typedef int work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_16U,
channels = 1,
fmt = (int)'w',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<short>
{
public:
typedef short value_type;
typedef int work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_16S,
channels = 1,
fmt = (int)'s',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<int>
{
public:
typedef int value_type;
typedef value_type work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_32S,
channels = 1,
fmt = (int)'i',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<float>
{
public:
typedef float value_type;
typedef value_type work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_32F,
channels = 1,
fmt = (int)'f',
type = CV_MAKETYPE(depth, channels)
};
};
template<> class DataType<double>
{
public:
typedef double value_type;
typedef value_type work_type;
typedef value_type channel_type;
typedef value_type vec_type;
enum { generic_type = 0,
depth = CV_64F,
channels = 1,
fmt = (int)'d',
type = CV_MAKETYPE(depth, channels)
};
};
/*!
A helper class for cv::DataType
The class is specialized for each fundamental numerical data type supported by OpenCV.
It provides DataDepth<T>::value constant.
*/
template<typename _Tp> class DataDepth
{
public:
enum
{
value = DataType<_Tp>::depth,
fmt = DataType<_Tp>::fmt
};
};
template<int _depth> class TypeDepth
{
enum { depth = CV_USRTYPE1 };
typedef void value_type;
};
template<> class TypeDepth<CV_8U>
{
enum { depth = CV_8U };
typedef uchar value_type;
};
template<> class TypeDepth<CV_8S>
{
enum { depth = CV_8S };
typedef schar value_type;
};
template<> class TypeDepth<CV_16U>
{
enum { depth = CV_16U };
typedef ushort value_type;
};
template<> class TypeDepth<CV_16S>
{
enum { depth = CV_16S };
typedef short value_type;
};
template<> class TypeDepth<CV_32S>
{
enum { depth = CV_32S };
typedef int value_type;
};
template<> class TypeDepth<CV_32F>
{
enum { depth = CV_32F };
typedef float value_type;
};
template<> class TypeDepth<CV_64F>
{
enum { depth = CV_64F };
typedef double value_type;
};
} // cv
#endif // __OPENCV_CORE_TRAITS_HPP__
modules/core/include/opencv2/core/types.hpp
+1880
View File
File diff suppressed because it is too large Load Diff
modules/core/include/opencv2/core/types_c.h
+132 -14
View File
@@ -12,6 +12,7 @@
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
@@ -92,6 +93,14 @@
# define CVAPI(rettype) CV_EXTERN_C CV_EXPORTS rettype CV_CDECL
#endif
#ifndef CV_IMPL
# define CV_IMPL CV_EXTERN_C
#endif
#ifdef __cplusplus
# include "opencv2/core.hpp"
#endif
/* CvArr* is used to pass arbitrary
* array-like data structures
* into functions where the particular
@@ -177,14 +186,6 @@ enum {
#define CV_SWAP(a,b,t) ((t) = (a), (a) = (b), (b) = (t))
#ifndef MIN
# define MIN(a,b) ((a) > (b) ? (b) : (a))
#endif
#ifndef MAX
# define MAX(a,b) ((a) < (b) ? (b) : (a))
#endif
/* min & max without jumps */
#define CV_IMIN(a, b) ((a) ^ (((a)^(b)) & (((a) < (b)) - 1)))
@@ -271,7 +272,7 @@ CV_INLINE double cvRandReal( CvRNG* rng )
#define IPL_BORDER_REFLECT 2
#define IPL_BORDER_WRAP 3
typedef struct _IplImage
typedef struct CV_EXPORTS _IplImage
{
int nSize; /* sizeof(IplImage) */
int ID; /* version (=0)*/
@@ -303,6 +304,11 @@ typedef struct _IplImage
char *imageDataOrigin; /* Pointer to very origin of image data
(not necessarily aligned) -
needed for correct deallocation */
#ifdef __cplusplus
_IplImage() {}
_IplImage(const cv::Mat& m);
#endif
}
IplImage;
@@ -413,6 +419,13 @@ typedef struct CvMat
int cols;
#endif
#ifdef __cplusplus
CvMat() {}
CvMat(const CvMat& m) { memcpy(this, &m, sizeof(CvMat));}
CvMat(const cv::Mat& m);
#endif
}
CvMat;
@@ -474,6 +487,16 @@ CV_INLINE CvMat cvMat( int rows, int cols, int type, void* data CV_DEFAULT(NULL)
return m;
}
#ifdef __cplusplus
inline CvMat::CvMat(const cv::Mat& m)
{
CV_DbgAssert(m.dims <= 2);
*this = cvMat(m.rows, m.dims == 1 ? 1 : m.cols, m.type(), m.data);
step = (int)m.step[0];
type = (type & ~cv::Mat::CONTINUOUS_FLAG) | (m.flags & cv::Mat::CONTINUOUS_FLAG);
}
#endif
#define CV_MAT_ELEM_PTR_FAST( mat, row, col, pix_size ) \
(assert( (unsigned)(row) < (unsigned)(mat).rows && \
@@ -540,7 +563,7 @@ CV_INLINE int cvIplDepth( int type )
#define CV_MAX_DIM 32
#define CV_MAX_DIM_HEAP 1024
typedef struct CvMatND
typedef struct CV_EXPORTS CvMatND
{
int type;
int dims;
@@ -563,6 +586,11 @@ typedef struct CvMatND
int step;
}
dim[CV_MAX_DIM];
#ifdef __cplusplus
CvMatND() {}
CvMatND(const cv::Mat& m);
#endif
}
CvMatND;
@@ -582,7 +610,7 @@ CvMatND;
struct CvSet;
typedef struct CvSparseMat
typedef struct CV_EXPORTS CvSparseMat
{
int type;
int dims;
@@ -595,9 +623,17 @@ typedef struct CvSparseMat
int valoffset;
int idxoffset;
int size[CV_MAX_DIM];
#ifdef __cplusplus
void copyToSparseMat(cv::SparseMat& m) const;
#endif
}
CvSparseMat;
#ifdef __cplusplus
CV_EXPORTS CvSparseMat* cvCreateSparseMat(const cv::SparseMat& m);
#endif
#define CV_IS_SPARSE_MAT_HDR(mat) \
((mat) != NULL && \
(((const CvSparseMat*)(mat))->type & CV_MAGIC_MASK) == CV_SPARSE_MAT_MAGIC_VAL)
@@ -681,6 +717,14 @@ typedef struct CvRect
int y;
int width;
int height;
#ifdef __cplusplus
CvRect(int _x = 0, int _y = 0, int w = 0, int h = 0): x(_x), y(_y), width(w), height(h) {}
template<typename _Tp>
CvRect(const cv::Rect_<_Tp>& r): x(cv::saturate_cast<int>(r.x)), y(cv::saturate_cast<int>(r.y)), width(cv::saturate_cast<int>(r.width)), height(cv::saturate_cast<int>(r.height)) {}
template<typename _Tp>
operator cv::Rect_<_Tp>() const { return cv::Rect_<_Tp>((_Tp)x, (_Tp)y, (_Tp)width, (_Tp)height); }
#endif
}
CvRect;
@@ -728,6 +772,13 @@ typedef struct CvTermCriteria
CV_TERMCRIT_EPS */
int max_iter;
double epsilon;
#ifdef __cplusplus
CvTermCriteria(int _type = 0, int _iter = 0, double _eps = 0) : type(_type), max_iter(_iter), epsilon(_eps) {}
CvTermCriteria(const cv::TermCriteria& t) : type(t.type), max_iter(t.maxCount), epsilon(t.epsilon) {}
operator cv::TermCriteria() const { return cv::TermCriteria(type, max_iter, epsilon); }
#endif
}
CvTermCriteria;
@@ -749,6 +800,14 @@ typedef struct CvPoint
{
int x;
int y;
#ifdef __cplusplus
CvPoint(int _x = 0, int _y = 0): x(_x), y(_y) {}
template<typename _Tp>
CvPoint(const cv::Point_<_Tp>& pt): x((int)pt.x), y((int)pt.y) {}
template<typename _Tp>
operator cv::Point_<_Tp>() const { return cv::Point_<_Tp>(cv::saturate_cast<_Tp>(x), cv::saturate_cast<_Tp>(y)); }
#endif
}
CvPoint;
@@ -768,6 +827,14 @@ typedef struct CvPoint2D32f
{
float x;
float y;
#ifdef __cplusplus
CvPoint2D32f(float _x = 0, float _y = 0): x(_x), y(_y) {}
template<typename _Tp>
CvPoint2D32f(const cv::Point_<_Tp>& pt): x((float)pt.x), y((float)pt.y) {}
template<typename _Tp>
operator cv::Point_<_Tp>() const { return cv::Point_<_Tp>(cv::saturate_cast<_Tp>(x), cv::saturate_cast<_Tp>(y)); }
#endif
}
CvPoint2D32f;
@@ -804,6 +871,14 @@ typedef struct CvPoint3D32f
float x;
float y;
float z;
#ifdef __cplusplus
CvPoint3D32f(float _x = 0, float _y = 0, float _z = 0): x(_x), y(_y), z(_z) {}
template<typename _Tp>
CvPoint3D32f(const cv::Point3_<_Tp>& pt): x((float)pt.x), y((float)pt.y), z((float)pt.z) {}
template<typename _Tp>
operator cv::Point3_<_Tp>() const { return cv::Point3_<_Tp>(cv::saturate_cast<_Tp>(x), cv::saturate_cast<_Tp>(y), cv::saturate_cast<_Tp>(z)); }
#endif
}
CvPoint3D32f;
@@ -866,6 +941,14 @@ typedef struct CvSize
{
int width;
int height;
#ifdef __cplusplus
CvSize(int w = 0, int h = 0): width(w), height(h) {}
template<typename _Tp>
CvSize(const cv::Size_<_Tp>& sz): width(cv::saturate_cast<int>(sz.width)), height(cv::saturate_cast<int>(sz.height)) {}
template<typename _Tp>
operator cv::Size_<_Tp>() const { return cv::Size_<_Tp>(cv::saturate_cast<_Tp>(width), cv::saturate_cast<_Tp>(height)); }
#endif
}
CvSize;
@@ -883,6 +966,14 @@ typedef struct CvSize2D32f
{
float width;
float height;
#ifdef __cplusplus
CvSize2D32f(float w = 0, float h = 0): width(w), height(h) {}
template<typename _Tp>
CvSize2D32f(const cv::Size_<_Tp>& sz): width(cv::saturate_cast<float>(sz.width)), height(cv::saturate_cast<float>(sz.height)) {}
template<typename _Tp>
operator cv::Size_<_Tp>() const { return cv::Size_<_Tp>(cv::saturate_cast<_Tp>(width), cv::saturate_cast<_Tp>(height)); }
#endif
}
CvSize2D32f;
@@ -903,6 +994,12 @@ typedef struct CvBox2D
CvSize2D32f size; /* Box width and length. */
float angle; /* Angle between the horizontal axis */
/* and the first side (i.e. length) in degrees */
#ifdef __cplusplus
CvBox2D(CvPoint2D32f c = CvPoint2D32f(), CvSize2D32f s = CvSize2D32f(), float a = 0) : center(c), size(s), angle(a) {}
CvBox2D(const cv::RotatedRect& rr) : center(rr.center), size(rr.size), angle(rr.angle) {}
operator cv::RotatedRect() const { return cv::RotatedRect(center, size, angle); }
#endif
}
CvBox2D;
@@ -925,10 +1022,18 @@ CvLineIterator;
/************************************* CvSlice ******************************************/
#define CV_WHOLE_SEQ_END_INDEX 0x3fffffff
#define CV_WHOLE_SEQ cvSlice(0, CV_WHOLE_SEQ_END_INDEX)
typedef struct CvSlice
{
int start_index, end_index;
#ifdef __cplusplus
CvSlice(int start = 0, int end = 0) : start_index(start), end_index(end) {}
CvSlice(const cv::Range& r) { *this = (r.start != INT_MIN && r.end != INT_MAX) ? CvSlice(r.start, r.end) : CvSlice(0, CV_WHOLE_SEQ_END_INDEX); }
operator cv::Range() const { return (start_index == 0 && end_index == CV_WHOLE_SEQ_END_INDEX ) ? cv::Range::all() : cv::Range(start_index, end_index); }
#endif
}
CvSlice;
@@ -941,8 +1046,6 @@ CV_INLINE CvSlice cvSlice( int start, int end )
return slice;
}
#define CV_WHOLE_SEQ_END_INDEX 0x3fffffff
#define CV_WHOLE_SEQ cvSlice(0, CV_WHOLE_SEQ_END_INDEX)
/************************************* CvScalar *****************************************/
@@ -950,6 +1053,22 @@ CV_INLINE CvSlice cvSlice( int start, int end )
typedef struct CvScalar
{
double val[4];
#ifdef __cplusplus
CvScalar() {}
CvScalar(double d0, double d1 = 0, double d2 = 0, double d3 = 0) { val[0] = d0; val[1] = d1; val[2] = d2; val[3] = d3; }
template<typename _Tp>
CvScalar(const cv::Scalar_<_Tp>& s) { val[0] = s.val[0]; val[1] = s.val[1]; val[2] = s.val[2]; val[3] = s.val[3]; }
template<typename _Tp>
operator cv::Scalar_<_Tp>() const { return cv::Scalar_<_Tp>(cv::saturate_cast<_Tp>(val[0]), cv::saturate_cast<_Tp>(val[1]), cv::saturate_cast<_Tp>(val[2]), cv::saturate_cast<_Tp>(val[3])); }
template<typename _Tp, int cn>
CvScalar(const cv::Vec<_Tp, cn>& v)
{
int i;
for( i = 0; i < (cn < 4 ? cn : 4); i++ ) val[i] = v.val[i];
for( ; i < 4; i++ ) val[i] = 0;
}
#endif
}
CvScalar;
@@ -1343,7 +1462,6 @@ CvSeqWriter;
int delta_index;/* = seq->first->start_index */ \
schar* prev_elem; /* pointer to previous element */
typedef struct CvSeqReader
{
CV_SEQ_READER_FIELDS()
modules/core/include/opencv2/core/utility.hpp
+6 -13
View File
@@ -44,6 +44,10 @@
#ifndef __OPENCV_CORE_UTILITY_H__
#define __OPENCV_CORE_UTILITY_H__
#ifndef __cplusplus
# error utility.hpp header must be compiled as C++
#endif
#include "opencv2/core.hpp"
namespace cv
@@ -126,7 +130,7 @@ protected:
*/
CV_EXPORTS bool setBreakOnError(bool flag);
typedef int (CV_CDECL *ErrorCallback)( int status, const char* func_name,
extern "C" typedef int (*ErrorCallback)( int status, const char* func_name,
const char* err_msg, const char* file_name,
int line, void* userdata );
@@ -144,7 +148,7 @@ typedef int (CV_CDECL *ErrorCallback)( int status, const char* func_name,
CV_EXPORTS ErrorCallback redirectError( ErrorCallback errCallback, void* userdata=0, void** prevUserdata=0);
CV_EXPORTS String format( const char* fmt, ... );
CV_EXPORTS String tempfile( const char* suffix CV_DEFAULT(0));
CV_EXPORTS String tempfile( const char* suffix = 0);
CV_EXPORTS void glob(String pattern, std::vector<String>& result, bool recursive = false);
CV_EXPORTS void setNumThreads(int nthreads);
CV_EXPORTS int getNumThreads();
@@ -443,17 +447,6 @@ template<typename _Tp, size_t fixed_size> inline
AutoBuffer<_Tp, fixed_size>::operator const _Tp* () const
{ return ptr; }
// TODO: move them to core_c.h
//! converts array (CvMat or IplImage) to cv::Mat
CV_EXPORTS Mat cvarrToMat(const CvArr* arr, bool copyData=false,
bool allowND=true, int coiMode=0,
AutoBuffer<double>* buf=0);
static inline Mat cvarrToMatND(const CvArr* arr, bool copyData=false, int coiMode=0)
{
return cvarrToMat(arr, copyData, true, coiMode);
}
#ifndef OPENCV_NOSTL
template<> inline std::string CommandLineParser::get<std::string>(int index, bool space_delete) const
{
modules/core/src/algorithm.cpp
+1 -1
View File
@@ -423,7 +423,7 @@ void AlgorithmInfo::write(const Algorithm* algo, FileStorage& fs) const
cv::write(fs, pname, algo->get<std::vector<Mat> >(pname));
else if( p.type == Param::ALGORITHM )
{
WriteStructContext ws(fs, pname, CV_NODE_MAP);
internal::WriteStructContext ws(fs, pname, CV_NODE_MAP);
Ptr<Algorithm> nestedAlgo = algo->get<Algorithm>(pname);
nestedAlgo->write(fs);
}
modules/core/src/alloc.cpp
-5
View File
@@ -683,11 +683,6 @@ void fastFree( void* ptr )
}
CV_IMPL void cvSetMemoryManager( CvAllocFunc, CvFreeFunc, void * )
{
CV_Error( -1, "Custom memory allocator is not supported" );
}
CV_IMPL void* cvAlloc( size_t size )
{
return cv::fastMalloc( size );
modules/core/src/array.cpp
+23 -16
View File
@@ -48,6 +48,12 @@
#include "precomp.hpp"
#define CV_ORIGIN_TL 0
#define CV_ORIGIN_BL 1
/* default image row align (in bytes) */
#define CV_DEFAULT_IMAGE_ROW_ALIGN 4
static struct
{
@@ -305,7 +311,8 @@ cvCloneMatND( const CvMatND* src )
if( src->data.ptr )
{
cvCreateData( dst );
cv::Mat _src(src), _dst(dst);
cv::Mat _src = cv::cvarrToMat(src);
cv::Mat _dst = cv::cvarrToMat(dst);
uchar* data0 = dst->data.ptr;
_src.copyTo(_dst);
CV_Assert(_dst.data == data0);
@@ -1210,7 +1217,7 @@ cvGetDimSize( const CvArr* arr, int index )
CV_IMPL CvSize
cvGetSize( const CvArr* arr )
{
CvSize size = { 0, 0 };
CvSize size;
if( CV_IS_MAT_HDR_Z( arr ))
{
@@ -1463,28 +1470,28 @@ cvScalarToRawData( const CvScalar* scalar, void* data, int type, int extend_to_1
while( cn-- )
{
int t = cvRound( scalar->val[cn] );
((uchar*)data)[cn] = CV_CAST_8U(t);
((uchar*)data)[cn] = cv::saturate_cast<uchar>(t);
}
break;
case CV_8SC1:
while( cn-- )
{
int t = cvRound( scalar->val[cn] );
((char*)data)[cn] = CV_CAST_8S(t);
((char*)data)[cn] = cv::saturate_cast<schar>(t);
}
break;
case CV_16UC1:
while( cn-- )
{
int t = cvRound( scalar->val[cn] );
((ushort*)data)[cn] = CV_CAST_16U(t);
((ushort*)data)[cn] = cv::saturate_cast<ushort>(t);
}
break;
case CV_16SC1:
while( cn-- )
{
int t = cvRound( scalar->val[cn] );
((short*)data)[cn] = CV_CAST_16S(t);
((short*)data)[cn] = cv::saturate_cast<short>(t);
}
break;
case CV_32SC1:
@@ -1601,19 +1608,19 @@ static void icvSetReal( double value, const void* data, int type )
switch( type )
{
case CV_8U:
*(uchar*)data = CV_CAST_8U(ivalue);
*(uchar*)data = cv::saturate_cast<uchar>(ivalue);
break;
case CV_8S:
*(char*)data = CV_CAST_8S(ivalue);
*(schar*)data = cv::saturate_cast<schar>(ivalue);
break;
case CV_16U:
*(ushort*)data = CV_CAST_16U(ivalue);
*(ushort*)data = cv::saturate_cast<ushort>(ivalue);
break;
case CV_16S:
*(short*)data = CV_CAST_16S(ivalue);
*(short*)data = cv::saturate_cast<short>(ivalue);
break;
case CV_32S:
*(int*)data = CV_CAST_32S(ivalue);
*(int*)data = cv::saturate_cast<int>(ivalue);
break;
}
}
@@ -1910,7 +1917,7 @@ cvPtrND( const CvArr* arr, const int* idx, int* _type,
CV_IMPL CvScalar
cvGet1D( const CvArr* arr, int idx )
{
CvScalar scalar = {{0,0,0,0}};
CvScalar scalar(0);
int type = 0;
uchar* ptr;
@@ -1945,7 +1952,7 @@ cvGet1D( const CvArr* arr, int idx )
CV_IMPL CvScalar
cvGet2D( const CvArr* arr, int y, int x )
{
CvScalar scalar = {{0,0,0,0}};
CvScalar scalar(0);
int type = 0;
uchar* ptr;
@@ -1979,7 +1986,7 @@ cvGet2D( const CvArr* arr, int y, int x )
CV_IMPL CvScalar
cvGet3D( const CvArr* arr, int z, int y, int x )
{
CvScalar scalar = {{0,0,0,0}};
CvScalar scalar(0);
int type = 0;
uchar* ptr;
@@ -2001,7 +2008,7 @@ cvGet3D( const CvArr* arr, int z, int y, int x )
CV_IMPL CvScalar
cvGetND( const CvArr* arr, const int* idx )
{
CvScalar scalar = {{0,0,0,0}};
CvScalar scalar(0);
int type = 0;
uchar* ptr;
@@ -3052,7 +3059,7 @@ cvResetImageROI( IplImage* image )
CV_IMPL CvRect
cvGetImageROI( const IplImage* img )
{
CvRect rect = { 0, 0, 0, 0 };
CvRect rect;
if( !img )
CV_Error( CV_StsNullPtr, "Null pointer to image" );
modules/core/src/command_line_parser.cpp
+1
View File
@@ -1,4 +1,5 @@
#include "precomp.hpp"
#include <sstream>
namespace cv
{
modules/core/src/datastructs.cpp
+6
View File
@@ -40,6 +40,12 @@
//M*/
#include "precomp.hpp"
/* default alignment for dynamic data strucutures, resided in storages. */
#define CV_STRUCT_ALIGN ((int)sizeof(double))
/* default storage block size */
#define CV_STORAGE_BLOCK_SIZE ((1<<16) - 128)
#define ICV_FREE_PTR(storage) \
((schar*)(storage)->top + (storage)->block_size - (storage)->free_space)
modules/core/src/drawing.cpp
+2 -2
View File
@@ -2343,7 +2343,7 @@ cvColorToScalar( double packed_color, int type )
}
else
{
scalar.val[0] = CV_CAST_8U( icolor );
scalar.val[0] = cv::saturate_cast<uchar>( icolor );
scalar.val[1] = scalar.val[2] = scalar.val[3] = 0;
}
}
@@ -2359,7 +2359,7 @@ cvColorToScalar( double packed_color, int type )
}
else
{
scalar.val[0] = CV_CAST_8S( icolor );
scalar.val[0] = cv::saturate_cast<schar>( icolor );
scalar.val[1] = scalar.val[2] = scalar.val[3] = 0;
}
}
modules/core/src/gl_core_3_1.cpp
+3 -6
View File
@@ -40,10 +40,7 @@
//
//M*/
#include <sstream>
#include "cvconfig.h"
#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "precomp.hpp"
#include "gl_core_3_1.hpp"
#ifdef HAVE_OPENGL
@@ -136,14 +133,14 @@
void* func = (void*) CV_GL_GET_PROC_ADDRESS(name);
if (!func)
{
CV_Error(CV_OpenGlApiCallError, cv::format("Can't load OpenGL extension [%s]", name) );
CV_Error(cv::Error::OpenGlApiCallError, cv::format("Can't load OpenGL extension [%s]", name) );
}
return func;
}
#else
static void* IntGetProcAddress(const char*)
{
CV_Error(CV_OpenGlNotSupported, "The library is compiled without OpenGL support");
CV_Error(cv::Error::OpenGlNotSupported, "The library is compiled without OpenGL support");
return 0;
}
#endif
modules/core/src/gpumat.cpp
+3 -3
View File
@@ -544,7 +544,7 @@ cv::gpu::GpuMat::GpuMat(const GpuMat& m)
}
cv::gpu::GpuMat::GpuMat(int rows_, int cols_, int type_, void* data_, size_t step_) :
flags(Mat::MAGIC_VAL + (type_ & TYPE_MASK)), rows(rows_), cols(cols_),
flags(Mat::MAGIC_VAL + (type_ & Mat::TYPE_MASK)), rows(rows_), cols(cols_),
step(step_), data((uchar*)data_), refcount(0),
datastart((uchar*)data_), dataend((uchar*)data_)
{
@@ -568,7 +568,7 @@ cv::gpu::GpuMat::GpuMat(int rows_, int cols_, int type_, void* data_, size_t ste
}
cv::gpu::GpuMat::GpuMat(Size size_, int type_, void* data_, size_t step_) :
flags(Mat::MAGIC_VAL + (type_ & TYPE_MASK)), rows(size_.height), cols(size_.width),
flags(Mat::MAGIC_VAL + (type_ & Mat::TYPE_MASK)), rows(size_.height), cols(size_.width),
step(step_), data((uchar*)data_), refcount(0),
datastart((uchar*)data_), dataend((uchar*)data_)
{
@@ -1495,7 +1495,7 @@ GpuMat& cv::gpu::GpuMat::setTo(Scalar s, const GpuMat& mask)
void cv::gpu::GpuMat::create(int _rows, int _cols, int _type)
{
_type &= TYPE_MASK;
_type &= Mat::TYPE_MASK;
if (rows == _rows && cols == _cols && type() == _type && data)
return;
modules/core/src/lapack.cpp
-1
View File
@@ -1689,7 +1689,6 @@ cvDet( const CvArr* arr )
if( rows == 3 )
return det3(Md);
}
return cv::determinant(cv::Mat(mat));
}
return cv::determinant(cv::cvarrToMat(arr));
}
modules/core/src/mathfuncs.cpp
+5 -3
View File
@@ -2350,7 +2350,7 @@ int cv::solveCubic( InputArray _coeffs, OutputArray _roots )
coeffs.size() == Size(1, n0) ||
coeffs.size() == Size(1, n0+1)) );
_roots.create(n0, 1, ctype, -1, true, DEPTH_MASK_FLT);
_roots.create(n0, 1, ctype, -1, true, _OutputArray::DEPTH_MASK_FLT);
Mat roots = _roots.getMat();
int i = -1, n = 0;
@@ -2482,7 +2482,7 @@ double cv::solvePoly( InputArray _coeffs0, OutputArray _roots0, int maxIters )
int n = coeffs0.cols + coeffs0.rows - 2;
_roots0.create(n, 1, CV_MAKETYPE(cdepth, 2), -1, true, DEPTH_MASK_FLT);
_roots0.create(n, 1, CV_MAKETYPE(cdepth, 2), -1, true, _OutputArray::DEPTH_MASK_FLT);
Mat roots0 = _roots0.getMat();
AutoBuffer<C> buf(n*2+2);
@@ -2550,7 +2550,9 @@ cvSolveCubic( const CvMat* coeffs, CvMat* roots )
void cvSolvePoly(const CvMat* a, CvMat *r, int maxiter, int)
{
cv::Mat _a = cv::cvarrToMat(a), _r = cv::cvarrToMat(r), _r0 = r;
cv::Mat _a = cv::cvarrToMat(a);
cv::Mat _r = cv::cvarrToMat(r);
cv::Mat _r0 = _r;
cv::solvePoly(_a, _r, maxiter);
CV_Assert( _r.data == _r0.data ); // check that the array of roots was not reallocated
}
modules/core/src/matop.cpp
+4
View File
@@ -220,6 +220,10 @@ static inline bool isInitializer(const MatExpr& e) { return e.op == &g_MatOp_Ini
/////////////////////////////////////////////////////////////////////////////////////////////////////
MatOp::MatOp() {}
MatOp::~MatOp() {}
bool MatOp::elementWise(const MatExpr& /*expr*/) const
{
return false;
modules/core/src/matrix.cpp
+184 -175
View File
@@ -262,9 +262,10 @@ void Mat::deallocate()
}
Mat::Mat(const Mat& m, const Range& _rowRange, const Range& _colRange) : size(&rows)
Mat::Mat(const Mat& m, const Range& _rowRange, const Range& _colRange)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), refcount(0), datastart(0), dataend(0),
datalimit(0), allocator(0), size(&rows)
{
initEmpty();
CV_Assert( m.dims >= 2 );
if( m.dims > 2 )
{
@@ -335,9 +336,10 @@ Mat::Mat(const Mat& m, const Rect& roi)
}
Mat::Mat(int _dims, const int* _sizes, int _type, void* _data, const size_t* _steps) : size(&rows)
Mat::Mat(int _dims, const int* _sizes, int _type, void* _data, const size_t* _steps)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), refcount(0), datastart(0), dataend(0),
datalimit(0), allocator(0), size(&rows)
{
initEmpty();
flags |= CV_MAT_TYPE(_type);
data = datastart = (uchar*)_data;
setSize(*this, _dims, _sizes, _steps, true);
@@ -345,9 +347,10 @@ Mat::Mat(int _dims, const int* _sizes, int _type, void* _data, const size_t* _st
}
Mat::Mat(const Mat& m, const Range* ranges) : size(&rows)
Mat::Mat(const Mat& m, const Range* ranges)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), refcount(0), datastart(0), dataend(0),
datalimit(0), allocator(0), size(&rows)
{
initEmpty();
int i, d = m.dims;
CV_Assert(ranges);
@@ -371,13 +374,14 @@ Mat::Mat(const Mat& m, const Range* ranges) : size(&rows)
}
Mat::Mat(const CvMatND* m, bool copyData) : size(&rows)
static Mat cvMatNDToMat(const CvMatND* m, bool copyData)
{
initEmpty();
Mat thiz;
if( !m )
return;
data = datastart = m->data.ptr;
flags |= CV_MAT_TYPE(m->type);
return thiz;
thiz.data = thiz.datastart = m->data.ptr;
thiz.flags |= CV_MAT_TYPE(m->type);
int _sizes[CV_MAX_DIM];
size_t _steps[CV_MAX_DIM];
@@ -388,16 +392,107 @@ Mat::Mat(const CvMatND* m, bool copyData) : size(&rows)
_steps[i] = m->dim[i].step;
}
setSize(*this, d, _sizes, _steps);
finalizeHdr(*this);
setSize(thiz, d, _sizes, _steps);
finalizeHdr(thiz);
if( copyData )
{
Mat temp(*this);
temp.copyTo(*this);
Mat temp(thiz);
thiz.release();
temp.copyTo(thiz);
}
return thiz;
}
static Mat cvMatToMat(const CvMat* m, bool copyData)
{
Mat thiz;
if( !m )
return thiz;
if( !copyData )
{
thiz.flags = Mat::MAGIC_VAL + (m->type & (CV_MAT_TYPE_MASK|CV_MAT_CONT_FLAG));
thiz.dims = 2;
thiz.rows = m->rows;
thiz.cols = m->cols;
thiz.data = thiz.datastart = m->data.ptr;
size_t esz = CV_ELEM_SIZE(m->type), minstep = thiz.cols*esz, _step = m->step;
if( _step == 0 )
_step = minstep;
thiz.datalimit = thiz.datastart + _step*thiz.rows;
thiz.dataend = thiz.datalimit - _step + minstep;
thiz.step[0] = _step; thiz.step[1] = esz;
}
else
{
thiz.data = thiz.datastart = thiz.dataend = 0;
Mat(m->rows, m->cols, m->type, m->data.ptr, m->step).copyTo(thiz);
}
return thiz;
}
static Mat iplImageToMat(const IplImage* img, bool copyData)
{
Mat m;
if( !img )
return m;
m.dims = 2;
CV_DbgAssert(CV_IS_IMAGE(img) && img->imageData != 0);
int imgdepth = IPL2CV_DEPTH(img->depth);
size_t esz;
m.step[0] = img->widthStep;
if(!img->roi)
{
CV_Assert(img->dataOrder == IPL_DATA_ORDER_PIXEL);
m.flags = Mat::MAGIC_VAL + CV_MAKETYPE(imgdepth, img->nChannels);
m.rows = img->height;
m.cols = img->width;
m.datastart = m.data = (uchar*)img->imageData;
esz = CV_ELEM_SIZE(m.flags);
}
else
{
CV_Assert(img->dataOrder == IPL_DATA_ORDER_PIXEL || img->roi->coi != 0);
bool selectedPlane = img->roi->coi && img->dataOrder == IPL_DATA_ORDER_PLANE;
m.flags = Mat::MAGIC_VAL + CV_MAKETYPE(imgdepth, selectedPlane ? 1 : img->nChannels);
m.rows = img->roi->height;
m.cols = img->roi->width;
esz = CV_ELEM_SIZE(m.flags);
m.data = m.datastart = (uchar*)img->imageData +
(selectedPlane ? (img->roi->coi - 1)*m.step*img->height : 0) +
img->roi->yOffset*m.step[0] + img->roi->xOffset*esz;
}
m.datalimit = m.datastart + m.step.p[0]*m.rows;
m.dataend = m.datastart + m.step.p[0]*(m.rows-1) + esz*m.cols;
m.flags |= (m.cols*esz == m.step.p[0] || m.rows == 1 ? Mat::CONTINUOUS_FLAG : 0);
m.step[1] = esz;
if( copyData )
{
Mat m2 = m;
m.release();
if( !img->roi || !img->roi->coi ||
img->dataOrder == IPL_DATA_ORDER_PLANE)
m2.copyTo(m);
else
{
int ch[] = {img->roi->coi - 1, 0};
m.create(m2.rows, m2.cols, m2.type());
mixChannels(&m2, 1, &m, 1, ch, 1);
}
}
return m;
}
Mat Mat::diag(int d) const
{
@@ -433,101 +528,6 @@ Mat Mat::diag(int d) const
return m;
}
Mat::Mat(const CvMat* m, bool copyData) : size(&rows)
{
initEmpty();
if( !m )
return;
if( !copyData )
{
flags = MAGIC_VAL + (m->type & (CV_MAT_TYPE_MASK|CV_MAT_CONT_FLAG));
dims = 2;
rows = m->rows;
cols = m->cols;
data = datastart = m->data.ptr;
size_t esz = CV_ELEM_SIZE(m->type), minstep = cols*esz, _step = m->step;
if( _step == 0 )
_step = minstep;
datalimit = datastart + _step*rows;
dataend = datalimit - _step + minstep;
step[0] = _step; step[1] = esz;
}
else
{
data = datastart = dataend = 0;
Mat(m->rows, m->cols, m->type, m->data.ptr, m->step).copyTo(*this);
}
}
Mat::Mat(const IplImage* img, bool copyData) : size(&rows)
{
initEmpty();
if( !img )
return;
dims = 2;
CV_DbgAssert(CV_IS_IMAGE(img) && img->imageData != 0);
int imgdepth = IPL2CV_DEPTH(img->depth);
size_t esz;
step[0] = img->widthStep;
if(!img->roi)
{
CV_Assert(img->dataOrder == IPL_DATA_ORDER_PIXEL);
flags = MAGIC_VAL + CV_MAKETYPE(imgdepth, img->nChannels);
rows = img->height; cols = img->width;
datastart = data = (uchar*)img->imageData;
esz = CV_ELEM_SIZE(flags);
}
else
{
CV_Assert(img->dataOrder == IPL_DATA_ORDER_PIXEL || img->roi->coi != 0);
bool selectedPlane = img->roi->coi && img->dataOrder == IPL_DATA_ORDER_PLANE;
flags = MAGIC_VAL + CV_MAKETYPE(imgdepth, selectedPlane ? 1 : img->nChannels);
rows = img->roi->height; cols = img->roi->width;
esz = CV_ELEM_SIZE(flags);
data = datastart = (uchar*)img->imageData +
(selectedPlane ? (img->roi->coi - 1)*step*img->height : 0) +
img->roi->yOffset*step[0] + img->roi->xOffset*esz;
}
datalimit = datastart + step.p[0]*rows;
dataend = datastart + step.p[0]*(rows-1) + esz*cols;
flags |= (cols*esz == step.p[0] || rows == 1 ? CONTINUOUS_FLAG : 0);
step[1] = esz;
if( copyData )
{
Mat m = *this;
release();
if( !img->roi || !img->roi->coi ||
img->dataOrder == IPL_DATA_ORDER_PLANE)
m.copyTo(*this);
else
{
int ch[] = {img->roi->coi - 1, 0};
create(m.rows, m.cols, m.type());
mixChannels(&m, 1, this, 1, ch, 1);
}
}
}
Mat::operator IplImage() const
{
CV_Assert( dims <= 2 );
IplImage img;
cvInitImageHeader(&img, size(), cvIplDepth(flags), channels());
cvSetData(&img, data, (int)step[0]);
return img;
}
void Mat::pop_back(size_t nelems)
{
CV_Assert( nelems <= (size_t)size.p[0] );
@@ -673,16 +673,16 @@ Mat cvarrToMat(const CvArr* arr, bool copyData,
{
if( !arr )
return Mat();
if( CV_IS_MAT(arr) )
return Mat((const CvMat*)arr, copyData );
if( CV_IS_MAT_HDR_Z(arr) )
return cvMatToMat((const CvMat*)arr, copyData);
if( CV_IS_MATND(arr) )
return Mat((const CvMatND*)arr, copyData );
return cvMatNDToMat((const CvMatND*)arr, copyData );
if( CV_IS_IMAGE(arr) )
{
const IplImage* iplimg = (const IplImage*)arr;
if( coiMode == 0 && iplimg->roi && iplimg->roi->coi > 0 )
CV_Error(CV_BadCOI, "COI is not supported by the function");
return Mat(iplimg, copyData);
return iplImageToMat(iplimg, copyData);
}
if( CV_IS_SEQ(arr) )
{
@@ -836,6 +836,18 @@ Mat Mat::reshape(int new_cn, int new_rows) const
return hdr;
}
Mat Mat::diag(const Mat& d)
{
CV_Assert( d.cols == 1 || d.rows == 1 );
int len = d.rows + d.cols - 1;
Mat m(len, len, d.type(), Scalar(0));
Mat md = m.diag();
if( d.cols == 1 )
d.copyTo(md);
else
transpose(d, md);
return m;
}
int Mat::checkVector(int _elemChannels, int _depth, bool _requireContinuous) const
{
@@ -1536,10 +1548,10 @@ void _OutputArray::create(int dims, const int* sizes, int mtype, int i, bool all
int _type = CV_MAT_TYPE(flags);
for( size_t j = len0; j < len; j++ )
{
if( v[i].type() == _type )
if( v[j].type() == _type )
continue;
CV_Assert( v[i].empty() );
v[i].flags = (v[i].flags & ~CV_MAT_TYPE_MASK) | _type;
CV_Assert( v[j].empty() );
v[j].flags = (v[j].flags & ~CV_MAT_TYPE_MASK) | _type;
}
}
return;
@@ -2938,7 +2950,7 @@ CV_IMPL void cvTranspose( const CvArr* srcarr, CvArr* dstarr )
CV_IMPL void cvCompleteSymm( CvMat* matrix, int LtoR )
{
cv::Mat m(matrix);
cv::Mat m = cv::cvarrToMat(matrix);
cv::completeSymm( m, LtoR != 0 );
}
@@ -3109,17 +3121,6 @@ Mat Mat::reshape(int _cn, int _newndims, const int* _newsz) const
return Mat();
}
Mat::operator CvMatND() const
{
CvMatND mat;
cvInitMatNDHeader( &mat, dims, size, type(), data );
int i, d = dims;
for( i = 0; i < d; i++ )
mat.dim[i].step = (int)step[i];
mat.type |= flags & CONTINUOUS_FLAG;
return mat;
}
NAryMatIterator::NAryMatIterator()
: arrays(0), planes(0), ptrs(0), narrays(0), nplanes(0), size(0), iterdepth(0), idx(0)
{
@@ -3421,16 +3422,6 @@ void MatConstIterator::seek(const int* _idx, bool relative)
seek(ofs, relative);
}
ptrdiff_t operator - (const MatConstIterator& b, const MatConstIterator& a)
{
if( a.m != b.m )
return INT_MAX;
if( a.sliceEnd == b.sliceEnd )
return (b.ptr - a.ptr)/b.elemSize;
return b.lpos() - a.lpos();
}
//////////////////////////////// SparseMat ////////////////////////////////
template<typename T1, typename T2> void
@@ -3630,24 +3621,6 @@ SparseMat::SparseMat(const Mat& m)
}
}
SparseMat::SparseMat(const CvSparseMat* m)
: flags(MAGIC_VAL), hdr(0)
{
CV_Assert(m);
create( m->dims, &m->size[0], m->type );
CvSparseMatIterator it;
CvSparseNode* n = cvInitSparseMatIterator(m, &it);
size_t esz = elemSize();
for( ; n != 0; n = cvGetNextSparseNode(&it) )
{
const int* idx = CV_NODE_IDX(m, n);
uchar* to = newNode(idx, hash(idx));
copyElem((const uchar*)CV_NODE_VAL(m, n), to, esz);
}
}
void SparseMat::create(int d, const int* _sizes, int _type)
{
int i;
@@ -3795,24 +3768,6 @@ void SparseMat::clear()
hdr->clear();
}
SparseMat::operator CvSparseMat*() const
{
if( !hdr )
return 0;
CvSparseMat* m = cvCreateSparseMat(hdr->dims, hdr->size, type());
SparseMatConstIterator from = begin();
size_t i, N = nzcount(), esz = elemSize();
for( i = 0; i < N; i++, ++from )
{
const Node* n = from.node();
uchar* to = cvPtrND(m, n->idx, 0, -2, 0);
copyElem(from.ptr, to, esz);
}
return m;
}
uchar* SparseMat::ptr(int i0, bool createMissing, size_t* hashval)
{
CV_Assert( hdr && hdr->dims == 1 );
@@ -4266,4 +4221,58 @@ Rect RotatedRect::boundingRect() const
}
// glue
CvMatND::CvMatND(const cv::Mat& m)
{
cvInitMatNDHeader(this, m.dims, m.size, m.type(), m.data );
int i, d = m.dims;
for( i = 0; i < d; i++ )
dim[i].step = (int)m.step[i];
type |= m.flags & cv::Mat::CONTINUOUS_FLAG;
}
_IplImage::_IplImage(const cv::Mat& m)
{
CV_Assert( m.dims <= 2 );
cvInitImageHeader(this, m.size(), cvIplDepth(m.flags), m.channels());
cvSetData(this, m.data, (int)m.step[0]);
}
CvSparseMat* cvCreateSparseMat(const cv::SparseMat& sm)
{
if( !sm.hdr )
return 0;
CvSparseMat* m = cvCreateSparseMat(sm.hdr->dims, sm.hdr->size, sm.type());
cv::SparseMatConstIterator from = sm.begin();
size_t i, N = sm.nzcount(), esz = sm.elemSize();
for( i = 0; i < N; i++, ++from )
{
const cv::SparseMat::Node* n = from.node();
uchar* to = cvPtrND(m, n->idx, 0, -2, 0);
cv::copyElem(from.ptr, to, esz);
}
return m;
}
void CvSparseMat::copyToSparseMat(cv::SparseMat& m) const
{
m.create( dims, &size[0], type );
CvSparseMatIterator it;
CvSparseNode* n = cvInitSparseMatIterator(this, &it);
size_t esz = m.elemSize();
for( ; n != 0; n = cvGetNextSparseNode(&it) )
{
const int* idx = CV_NODE_IDX(this, n);
uchar* to = m.newNode(idx, m.hash(idx));
cv::copyElem((const uchar*)CV_NODE_VAL(this, n), to, esz);
}
}
/* End of file. */
modules/core/src/opengl_interop.cpp
+9 -2
View File
@@ -69,9 +69,8 @@ namespace
void throw_nocuda() { CV_Error(CV_StsNotImplemented, "The called functionality is disabled for current build or platform"); }
#endif
#endif
}
bool cv::ogl::checkError(const char* file, const int line, const char* func)
bool checkError(const char* file, const int line, const char* func = 0)
{
#ifndef HAVE_OPENGL
(void) file;
@@ -116,6 +115,14 @@ bool cv::ogl::checkError(const char* file, const int line, const char* func)
#endif
}
#if defined(__GNUC__)
#define CV_CheckGlError() CV_DbgAssert( (checkError(__FILE__, __LINE__, __func__)) )
#else
#define CV_CheckGlError() CV_DbgAssert( (checkError(__FILE__, __LINE__)) )
#endif
} // namespace
#ifdef HAVE_OPENGL
namespace
{
modules/core/src/out.cpp
+295 -257
View File
@@ -11,7 +11,8 @@
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009-2010, Willow Garage Inc., all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
@@ -41,267 +42,304 @@
//M*/
#include "precomp.hpp"
#include <iterator>
namespace
{
class FormattedImpl : public cv::Formatted
{
enum { STATE_PROLOGUE, STATE_EPILOGUE, STATE_ROW_OPEN, STATE_ROW_CLOSE, STATE_CN_OPEN, STATE_CN_CLOSE, STATE_VALUE, STATE_FINISHED,
STATE_LINE_SEPARATOR, STATE_CN_SEPARATOR, STATE_VALUE_SEPARATOR };
enum {BRACE_ROW_OPEN = 0, BRACE_ROW_CLOSE = 1, BRACE_ROW_SEP=2, BRACE_CN_OPEN=3, BRACE_CN_CLOSE=4 };
char floatFormat[8];
char buf[32]; // enough for double with precision up to 20
cv::Mat mtx;
int mcn; // == mtx.channels()
bool singleLine;
int state;
int row;
int col;
int cn;
cv::String prologue;
cv::String epilogue;
char braces[5];
void (FormattedImpl::*valueToStr)();
void valueToStr8u() { sprintf(buf, "%3d", (int)mtx.ptr<uchar>(row, col)[cn]); }
void valueToStr8s() { sprintf(buf, "%3d", (int)mtx.ptr<schar>(row, col)[cn]); }
void valueToStr16u() { sprintf(buf, "%d", (int)mtx.ptr<ushort>(row, col)[cn]); }
void valueToStr16s() { sprintf(buf, "%d", (int)mtx.ptr<short>(row, col)[cn]); }
void valueToStr32s() { sprintf(buf, "%d", mtx.ptr<int>(row, col)[cn]); }
void valueToStr32f() { sprintf(buf, floatFormat, mtx.ptr<float>(row, col)[cn]); }
void valueToStr64f() { sprintf(buf, floatFormat, mtx.ptr<double>(row, col)[cn]); }
void valueToStrOther() { buf[0] = 0; }
public:
FormattedImpl(cv::String pl, cv::String el, cv::Mat m, char br[5], bool sLine, int precision)
{
prologue = pl;
epilogue = el;
mtx = m;
mcn = m.channels();
memcpy(braces, br, 5);
state = STATE_PROLOGUE;
singleLine = sLine;
if (precision < 0)
{
floatFormat[0] = '%';
floatFormat[1] = 'a';
floatFormat[2] = 0;
}
else
{
sprintf(floatFormat, "%%.%dg", std::min(precision, 20));
}
switch(mtx.depth())
{
case CV_8U: valueToStr = &FormattedImpl::valueToStr8u; break;
case CV_8S: valueToStr = &FormattedImpl::valueToStr8s; break;
case CV_16U: valueToStr = &FormattedImpl::valueToStr16u; break;
case CV_16S: valueToStr = &FormattedImpl::valueToStr16s; break;
case CV_32S: valueToStr = &FormattedImpl::valueToStr32s; break;
case CV_32F: valueToStr = &FormattedImpl::valueToStr32f; break;
case CV_64F: valueToStr = &FormattedImpl::valueToStr64f; break;
default: valueToStr = &FormattedImpl::valueToStrOther; break;
}
}
void reset()
{
state = STATE_PROLOGUE;
}
const char* next()
{
switch(state)
{
case STATE_PROLOGUE:
row = 0;
if (mtx.empty())
state = STATE_EPILOGUE;
else
state = STATE_ROW_OPEN;
return prologue.c_str();
case STATE_EPILOGUE:
state = STATE_FINISHED;
return epilogue.c_str();
case STATE_ROW_OPEN:
col = 0;
state = STATE_CN_OPEN;
{
size_t pos = 0;
if (row > 0)
while(pos < prologue.size() && pos < sizeof(buf) - 2)
buf[pos++] = ' ';
if (braces[BRACE_ROW_OPEN])
buf[pos++] = braces[BRACE_ROW_OPEN];
if(!pos)
return next();
buf[pos] = 0;
}
return buf;
case STATE_ROW_CLOSE:
state = STATE_LINE_SEPARATOR;
++row;
if (braces[BRACE_ROW_CLOSE])
{
buf[0] = braces[BRACE_ROW_CLOSE];
buf[1] = row < mtx.rows ? ',' : '\0';
buf[2] = 0;
return buf;
}
else if(braces[BRACE_ROW_SEP] && row < mtx.rows)
{
buf[0] = braces[BRACE_ROW_SEP];
buf[1] = 0;
return buf;
}
return next();
case STATE_CN_OPEN:
cn = 0;
state = STATE_VALUE;
if (mcn > 1 && braces[BRACE_CN_OPEN])
{
buf[0] = braces[BRACE_CN_OPEN];
buf[1] = 0;
return buf;
}
return next();
case STATE_CN_CLOSE:
++col;
if (col >= mtx.cols)
state = STATE_ROW_CLOSE;
else
state = STATE_CN_SEPARATOR;
if (mcn > 1 && braces[BRACE_CN_CLOSE])
{
buf[0] = braces[BRACE_CN_CLOSE];
buf[1] = 0;
return buf;
}
return next();
case STATE_VALUE:
(this->*valueToStr)();
if (++cn >= mcn)
state = STATE_CN_CLOSE;
else
state = STATE_VALUE_SEPARATOR;
return buf;
case STATE_FINISHED:
return 0;
case STATE_LINE_SEPARATOR:
if (row >= mtx.rows)
{
state = STATE_EPILOGUE;
return next();
}
state = STATE_ROW_OPEN;
buf[0] = singleLine ? ' ' : '\n';
buf[1] = 0;
return buf;
case STATE_CN_SEPARATOR:
state = STATE_CN_OPEN;
buf[0] = ',';
buf[1] = ' ';
buf[2] = 0;
return buf;
case STATE_VALUE_SEPARATOR:
state = STATE_VALUE;
buf[0] = ',';
buf[1] = ' ';
buf[2] = 0;
return buf;
}
return 0;
}
};
class FormatterBase : public cv::Formatter
{
public:
FormatterBase() : prec32f(8), prec64f(16), multiline(true) {}
void set32fPrecision(int p)
{
prec32f = p;
}
void set64fPrecision(int p)
{
prec64f = p;
}
void setMultiline(bool ml)
{
multiline = ml;
}
protected:
int prec32f;
int prec64f;
int multiline;
};
class MatlabFormatter : public FormatterBase
{
public:
cv::Ptr<cv::Formatted> format(const cv::Mat& mtx) const
{
char braces[5] = {'\0', '\0', ';', '\0', '\0'};
return new FormattedImpl("[", "]", mtx, braces,
mtx.cols == 1 || !multiline, mtx.depth() == CV_64F ? prec64f : prec32f );
}
};
class PythonFormatter : public FormatterBase
{
public:
cv::Ptr<cv::Formatted> format(const cv::Mat& mtx) const
{
char braces[5] = {'[', ']', '\0', '[', ']'};
if (mtx.cols == 1)
braces[0] = braces[1] = '\0';
return new FormattedImpl("[", "]", mtx, braces,
mtx.cols*mtx.channels() == 1 || !multiline, mtx.depth() == CV_64F ? prec64f : prec32f );
}
};
class NumpyFormatter : public FormatterBase
{
public:
cv::Ptr<cv::Formatted> format(const cv::Mat& mtx) const
{
static const char* numpyTypes[] =
{
"uint8", "int8", "uint16", "int16", "int32", "float32", "float64", "uint64"
};
char braces[5] = {'[', ']', '\0', '[', ']'};
if (mtx.cols == 1)
braces[0] = braces[1] = '\0';
return new FormattedImpl("array([", cv::format("], type='%s')", numpyTypes[mtx.depth()]), mtx, braces,
mtx.cols*mtx.channels() == 1 || !multiline, mtx.depth() == CV_64F ? prec64f : prec32f );
}
};
class CSVFormatter : public FormatterBase
{
public:
cv::Ptr<cv::Formatted> format(const cv::Mat& mtx) const
{
char braces[5] = {'\0', '\0', '\0', '\0', '\0'};
return new FormattedImpl(cv::String(), mtx.rows > 1 ? cv::String("\n") : cv::String(), mtx, braces,
mtx.cols*mtx.channels() == 1 || !multiline, mtx.depth() == CV_64F ? prec64f : prec32f );
}
};
class CFormatter : public FormatterBase
{
public:
cv::Ptr<cv::Formatted> format(const cv::Mat& mtx) const
{
char braces[5] = {'\0', '\0', ',', '\0', '\0'};
return new FormattedImpl("{", "}", mtx, braces,
mtx.cols == 1 || !multiline, mtx.depth() == CV_64F ? prec64f : prec32f );
}
};
} // namespace
namespace cv
{
Formatted::~Formatted() {}
Formatter::~Formatter() {}
static inline char getCloseBrace(char c)
{
return c == '[' ? ']' : c == '(' ? ')' : c == '{' ? '}' : '\0';
}
template<typename _Tp> static void writeElems(std::ostream& out, const _Tp* data,
int nelems, int cn, char obrace, char cbrace)
{
typedef typename DataType<_Tp>::work_type _WTp;
nelems *= cn;
for(int i = 0; i < nelems; i += cn)
Ptr<Formatter> Formatter::get(int fmt)
{
if(cn == 1)
switch(fmt)
{
out << (_WTp)data[i] << (i+1 < nelems ? ", " : "");
continue;
case FMT_MATLAB:
return new MatlabFormatter();
case FMT_CSV:
return new CSVFormatter();
case FMT_PYTHON:
return new PythonFormatter();
case FMT_NUMPY:
return new NumpyFormatter();
case FMT_C:
return new CFormatter();
}
out << obrace;
for(int j = 0; j < cn; j++)
out << (_WTp)data[i + j] << (j+1 < cn ? ", " : "");
out << cbrace << (i+cn < nelems ? ", " : "");
return new MatlabFormatter();
}
}
static void writeElems(std::ostream& out, const void* data, int nelems, int type, char brace)
{
int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
char cbrace = ' ';
if(!brace || isspace(brace))
{
nelems *= cn;
cn = 1;
}
else
cbrace = getCloseBrace(brace);
if(depth == CV_8U)
writeElems(out, (const uchar*)data, nelems, cn, brace, cbrace);
else if(depth == CV_8S)
writeElems(out, (const schar*)data, nelems, cn, brace, cbrace);
else if(depth == CV_16U)
writeElems(out, (const ushort*)data, nelems, cn, brace, cbrace);
else if(depth == CV_16S)
writeElems(out, (const short*)data, nelems, cn, brace, cbrace);
else if(depth == CV_32S)
writeElems(out, (const int*)data, nelems, cn, brace, cbrace);
else if(depth == CV_32F)
{
std::streamsize pp = out.precision();
out.precision(8);
writeElems(out, (const float*)data, nelems, cn, brace, cbrace);
out.precision(pp);
}
else if(depth == CV_64F)
{
std::streamsize pp = out.precision();
out.precision(16);
writeElems(out, (const double*)data, nelems, cn, brace, cbrace);
out.precision(pp);
}
else
CV_Error(CV_StsUnsupportedFormat, "");
}
static void writeMat(std::ostream& out, const Mat& m, char rowsep, char elembrace, bool singleLine)
{
CV_Assert(m.dims <= 2);
int type = m.type();
char crowbrace = getCloseBrace(rowsep);
char orowbrace = crowbrace ? rowsep : '\0';
if( orowbrace || isspace(rowsep) )
rowsep = '\0';
for( int i = 0; i < m.rows; i++ )
{
if(orowbrace)
out << orowbrace;
if( m.data )
writeElems(out, m.ptr(i), m.cols, type, elembrace);
if(orowbrace)
out << crowbrace << (i+1 < m.rows ? ", " : "");
if(i+1 < m.rows)
{
if(rowsep)
out << rowsep << (singleLine ? " " : "");
if(!singleLine)
out << "\n ";
}
}
}
class MatlabFormatter : public Formatter
{
public:
virtual ~MatlabFormatter() {}
void write(std::ostream& out, const Mat& m, const int*, int) const
{
out << "[";
writeMat(out, m, ';', ' ', m.cols == 1);
out << "]";
}
void write(std::ostream& out, const void* data, int nelems, int type, const int*, int) const
{
writeElems(out, data, nelems, type, ' ');
}
};
class PythonFormatter : public Formatter
{
public:
virtual ~PythonFormatter() {}
void write(std::ostream& out, const Mat& m, const int*, int) const
{
out << "[";
writeMat(out, m, m.cols > 1 ? '[' : ' ', '[', m.cols*m.channels() == 1);
out << "]";
}
void write(std::ostream& out, const void* data, int nelems, int type, const int*, int) const
{
writeElems(out, data, nelems, type, '[');
}
};
class NumpyFormatter : public Formatter
{
public:
virtual ~NumpyFormatter() {}
void write(std::ostream& out, const Mat& m, const int*, int) const
{
static const char* numpyTypes[] =
{
"uint8", "int8", "uint16", "int16", "int32", "float32", "float64", "uint64"
};
out << "array([";
writeMat(out, m, m.cols > 1 ? '[' : ' ', '[', m.cols*m.channels() == 1);
out << "], type='" << numpyTypes[m.depth()] << "')";
}
void write(std::ostream& out, const void* data, int nelems, int type, const int*, int) const
{
writeElems(out, data, nelems, type, '[');
}
};
class CSVFormatter : public Formatter
{
public:
virtual ~CSVFormatter() {}
void write(std::ostream& out, const Mat& m, const int*, int) const
{
writeMat(out, m, ' ', ' ', m.cols*m.channels() == 1);
if(m.rows > 1)
out << "\n";
}
void write(std::ostream& out, const void* data, int nelems, int type, const int*, int) const
{
writeElems(out, data, nelems, type, ' ');
}
};
class CFormatter : public Formatter
{
public:
virtual ~CFormatter() {}
void write(std::ostream& out, const Mat& m, const int*, int) const
{
out << "{";
writeMat(out, m, ',', ' ', m.cols==1);
out << "}";
}
void write(std::ostream& out, const void* data, int nelems, int type, const int*, int) const
{
writeElems(out, data, nelems, type, ' ');
}
};
static MatlabFormatter matlabFormatter;
static PythonFormatter pythonFormatter;
static NumpyFormatter numpyFormatter;
static CSVFormatter csvFormatter;
static CFormatter cFormatter;
static const Formatter* g_defaultFormatter0 = &matlabFormatter;
static const Formatter* g_defaultFormatter = &matlabFormatter;
static bool my_streq(const char* a, const char* b)
{
size_t i, alen = strlen(a), blen = strlen(b);
if( alen != blen )
return false;
for( i = 0; i < alen; i++ )
if( a[i] != b[i] && a[i] - 32 != b[i] )
return false;
return true;
}
const Formatter* Formatter::get(const char* fmt)
{
if(!fmt || my_streq(fmt, ""))
return g_defaultFormatter;
if( my_streq(fmt, "MATLAB"))
return &matlabFormatter;
if( my_streq(fmt, "CSV"))
return &csvFormatter;
if( my_streq(fmt, "PYTHON"))
return &pythonFormatter;
if( my_streq(fmt, "NUMPY"))
return &numpyFormatter;
if( my_streq(fmt, "C"))
return &cFormatter;
CV_Error(CV_StsBadArg, "Unknown formatter");
return g_defaultFormatter;
}
const Formatter* Formatter::setDefault(const Formatter* fmt)
{
const Formatter* prevFmt = g_defaultFormatter;
if(!fmt)
fmt = g_defaultFormatter0;
g_defaultFormatter = fmt;
return prevFmt;
}
Formatted::Formatted(const Mat& _m, const Formatter* _fmt,
const std::vector<int>& _params)
{
mtx = _m;
fmt = _fmt ? _fmt : Formatter::get();
std::copy(_params.begin(), _params.end(), back_inserter(params));
}
Formatted::Formatted(const Mat& _m, const Formatter* _fmt, const int* _params)
{
mtx = _m;
fmt = _fmt ? _fmt : Formatter::get();
if( _params )
{
int i, maxParams = 100;
for(i = 0; i < maxParams && _params[i] != 0; i+=2)
;
std::copy(_params, _params + i, back_inserter(params));
}
}
}
} // cv
modules/core/src/persistence.cpp
+70 -21
View File
@@ -3246,19 +3246,19 @@ cvReadRawDataSlice( const CvFileStorage* fs, CvSeqReader* reader,
switch( elem_type )
{
case CV_8U:
*(uchar*)data = CV_CAST_8U(ival);
*(uchar*)data = cv::saturate_cast<uchar>(ival);
data++;
break;
case CV_8S:
*(char*)data = CV_CAST_8S(ival);
*(char*)data = cv::saturate_cast<schar>(ival);
data++;
break;
case CV_16U:
*(ushort*)data = CV_CAST_16U(ival);
*(ushort*)data = cv::saturate_cast<ushort>(ival);
data += sizeof(ushort);
break;
case CV_16S:
*(short*)data = CV_CAST_16S(ival);
*(short*)data = cv::saturate_cast<short>(ival);
data += sizeof(short);
break;
case CV_32S:
@@ -3291,22 +3291,22 @@ cvReadRawDataSlice( const CvFileStorage* fs, CvSeqReader* reader,
{
case CV_8U:
ival = cvRound(fval);
*(uchar*)data = CV_CAST_8U(ival);
*(uchar*)data = cv::saturate_cast<uchar>(ival);
data++;
break;
case CV_8S:
ival = cvRound(fval);
*(char*)data = CV_CAST_8S(ival);
*(char*)data = cv::saturate_cast<schar>(ival);
data++;
break;
case CV_16U:
ival = cvRound(fval);
*(ushort*)data = CV_CAST_16U(ival);
*(ushort*)data = cv::saturate_cast<ushort>(ival);
data += sizeof(ushort);
break;
case CV_16S:
ival = cvRound(fval);
*(short*)data = CV_CAST_16S(ival);
*(short*)data = cv::saturate_cast<short>(ival);
data += sizeof(short);
break;
case CV_32S:
@@ -5317,7 +5317,7 @@ FileNodeIterator::FileNodeIterator(const CvFileStorage* _fs,
container = _node;
if( !(_node->tag & FileNode::USER) && (node_type == FileNode::SEQ || node_type == FileNode::MAP) )
{
cvStartReadSeq( _node->data.seq, &reader );
cvStartReadSeq( _node->data.seq, (CvSeqReader*)&reader );
remaining = FileNode(_fs, _node).size();
}
else
@@ -5350,7 +5350,12 @@ FileNodeIterator& FileNodeIterator::operator ++()
if( remaining > 0 )
{
if( reader.seq )
CV_NEXT_SEQ_ELEM( reader.seq->elem_size, reader );
{
if( ((reader).ptr += (((CvSeq*)reader.seq)->elem_size)) >= (reader).block_max )
{
cvChangeSeqBlock( (CvSeqReader*)&(reader), 1 );
}
}
remaining--;
}
return *this;
@@ -5368,7 +5373,12 @@ FileNodeIterator& FileNodeIterator::operator --()
if( remaining < FileNode(fs, container).size() )
{
if( reader.seq )
CV_PREV_SEQ_ELEM( reader.seq->elem_size, reader );
{
if( ((reader).ptr -= (((CvSeq*)reader.seq)->elem_size)) < (reader).block_min )
{
cvChangeSeqBlock( (CvSeqReader*)&(reader), -1 );
}
}
remaining++;
}
return *this;
@@ -5394,7 +5404,7 @@ FileNodeIterator& FileNodeIterator::operator += (int ofs)
}
remaining -= ofs;
if( reader.seq )
cvSetSeqReaderPos( &reader, ofs, 1 );
cvSetSeqReaderPos( (CvSeqReader*)&reader, ofs, 1 );
return *this;
}
@@ -5415,7 +5425,7 @@ FileNodeIterator& FileNodeIterator::readRaw( const String& fmt, uchar* vec, size
if( reader.seq )
{
cvReadRawDataSlice( fs, &reader, (int)count, vec, fmt.c_str() );
cvReadRawDataSlice( fs, (CvSeqReader*)&reader, (int)count, vec, fmt.c_str() );
remaining -= count*cn;
}
else
@@ -5470,19 +5480,22 @@ void write( FileStorage& fs, const String& name, const Mat& value )
// TODO: the 4 functions below need to be implemented more efficiently
void write( FileStorage& fs, const String& name, const SparseMat& value )
{
Ptr<CvSparseMat> mat = (CvSparseMat*)value;
Ptr<CvSparseMat> mat = cvCreateSparseMat(value);
cvWrite( *fs, name.size() ? name.c_str() : 0, mat );
}
WriteStructContext::WriteStructContext(FileStorage& _fs, const String& name,
int flags, const String& typeName) : fs(&_fs)
internal::WriteStructContext::WriteStructContext(FileStorage& _fs,
const String& name, int flags, const String& typeName) : fs(&_fs)
{
cvStartWriteStruct(**fs, !name.empty() ? name.c_str() : 0, flags,
!typeName.empty() ? typeName.c_str() : 0);
}
WriteStructContext::~WriteStructContext() { cvEndWriteStruct(**fs); }
internal::WriteStructContext::~WriteStructContext()
{
cvEndWriteStruct(**fs);
}
void read( const FileNode& node, Mat& mat, const Mat& default_mat )
@@ -5495,12 +5508,12 @@ void read( const FileNode& node, Mat& mat, const Mat& default_mat )
void* obj = cvRead((CvFileStorage*)node.fs, (CvFileNode*)*node);
if(CV_IS_MAT_HDR_Z(obj))
{
Mat((const CvMat*)obj).copyTo(mat);
cvarrToMat(obj).copyTo(mat);
cvReleaseMat((CvMat**)&obj);
}
else if(CV_IS_MATND_HDR(obj))
{
Mat((const CvMatND*)obj).copyTo(mat);
cvarrToMat(obj).copyTo(mat);
cvReleaseMatND((CvMatND**)&obj);
}
else
@@ -5519,12 +5532,12 @@ void read( const FileNode& node, SparseMat& mat, const SparseMat& default_mat )
}
Ptr<CvSparseMat> m = (CvSparseMat*)cvRead((CvFileStorage*)node.fs, (CvFileNode*)*node);
CV_Assert(CV_IS_SPARSE_MAT(m.obj));
SparseMat(m).copyTo(mat);
m->copyToSparseMat(mat);
}
void write(FileStorage& fs, const String& objname, const std::vector<KeyPoint>& keypoints)
{
WriteStructContext ws(fs, objname, CV_NODE_SEQ + CV_NODE_FLOW);
internal::WriteStructContext ws(fs, objname, CV_NODE_SEQ + CV_NODE_FLOW);
int i, npoints = (int)keypoints.size();
for( i = 0; i < npoints; i++ )
@@ -5553,6 +5566,42 @@ void read(const FileNode& node, std::vector<KeyPoint>& keypoints)
}
}
int FileNode::type() const { return !node ? NONE : (node->tag & TYPE_MASK); }
bool FileNode::isNamed() const { return !node ? false : (node->tag & NAMED) != 0; }
size_t FileNode::size() const
{
int t = type();
return t == MAP ? (size_t)((CvSet*)node->data.map)->active_count :
t == SEQ ? (size_t)node->data.seq->total : (size_t)!isNone();
}
void read(const FileNode& node, int& value, int default_value)
{
value = !node.node ? default_value :
CV_NODE_IS_INT(node.node->tag) ? node.node->data.i :
CV_NODE_IS_REAL(node.node->tag) ? cvRound(node.node->data.f) : 0x7fffffff;
}
void read(const FileNode& node, float& value, float default_value)
{
value = !node.node ? default_value :
CV_NODE_IS_INT(node.node->tag) ? (float)node.node->data.i :
CV_NODE_IS_REAL(node.node->tag) ? (float)node.node->data.f : 1e30f;
}
void read(const FileNode& node, double& value, double default_value)
{
value = !node.node ? default_value :
CV_NODE_IS_INT(node.node->tag) ? (double)node.node->data.i :
CV_NODE_IS_REAL(node.node->tag) ? node.node->data.f : 1e300;
}
void read(const FileNode& node, String& value, const String& default_value)
{
value = !node.node ? default_value : CV_NODE_IS_STRING(node.node->tag) ? String(node.node->data.str.ptr) : String();
}
}
/* End of file. */
modules/core/src/precomp.hpp
+14 -12
View File
@@ -43,16 +43,12 @@
#ifndef __OPENCV_PRECOMP_H__
#define __OPENCV_PRECOMP_H__
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/core/core_c.h"
#include "opencv2/core/internal.hpp"
#include "opencv2/core/gpumat.hpp"
#include "opencv2/core/private.hpp"
#include <assert.h>
#include <ctype.h>
#include <float.h>
@@ -97,11 +93,22 @@ static inline void ___cudaSafeCall(cudaError_t err, const char *file, const int
#else
# define cudaSafeCall(expr)
#endif
#endif //HAVE_CUDA
namespace cv
{
/* default memory block for sparse array elements */
#define CV_SPARSE_MAT_BLOCK (1<<12)
/* initial hash table size */
#define CV_SPARSE_HASH_SIZE0 (1<<10)
/* maximal average node_count/hash_size ratio beyond which hash table is resized */
#define CV_SPARSE_HASH_RATIO 3
// -128.f ... 255.f
extern const float g_8x32fTab[];
#define CV_8TO32F(x) cv::g_8x32fTab[(x)+128]
@@ -208,11 +215,6 @@ extern volatile bool USE_AVX;
enum { BLOCK_SIZE = 1024 };
#ifdef HAVE_IPP
static inline IppiSize ippiSize(int width, int height) { IppiSize sz = { width, height}; return sz; }
static inline IppiSize ippiSize(Size _sz) { IppiSize sz = { _sz.width, _sz.height}; return sz; }
#endif
#if defined HAVE_IPP && (IPP_VERSION_MAJOR >= 7)
#define ARITHM_USE_IPP 1
#define IF_IPP(then_call, else_call) then_call
modules/core/src/stat.cpp
+2 -6
View File
@@ -999,7 +999,6 @@ static int normHamming(const uchar* a, int n)
{
int i = 0, result = 0;
#if CV_NEON
if (CPU_HAS_NEON_FEATURE)
{
uint32x4_t bits = vmovq_n_u32(0);
for (; i <= n - 16; i += 16) {
@@ -1013,7 +1012,6 @@ static int normHamming(const uchar* a, int n)
result = vgetq_lane_s32 (vreinterpretq_s32_u64(bitSet2),0);
result += vgetq_lane_s32 (vreinterpretq_s32_u64(bitSet2),2);
}
else
#endif
for( ; i <= n - 4; i += 4 )
result += popCountTable[a[i]] + popCountTable[a[i+1]] +
@@ -1027,7 +1025,6 @@ int normHamming(const uchar* a, const uchar* b, int n)
{
int i = 0, result = 0;
#if CV_NEON
if (CPU_HAS_NEON_FEATURE)
{
uint32x4_t bits = vmovq_n_u32(0);
for (; i <= n - 16; i += 16) {
@@ -1043,7 +1040,6 @@ int normHamming(const uchar* a, const uchar* b, int n)
result = vgetq_lane_s32 (vreinterpretq_s32_u64(bitSet2),0);
result += vgetq_lane_s32 (vreinterpretq_s32_u64(bitSet2),2);
}
else
#endif
for( ; i <= n - 4; i += 4 )
result += popCountTable[a[i] ^ b[i]] + popCountTable[a[i+1] ^ b[i+1]] +
@@ -1111,7 +1107,7 @@ normInf_(const T* src, const uchar* mask, ST* _result, int len, int cn)
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
result = std::max(result, ST(fast_abs(src[k])));
result = std::max(result, ST(std::abs(src[k])));
}
}
*_result = result;
@@ -1132,7 +1128,7 @@ normL1_(const T* src, const uchar* mask, ST* _result, int len, int cn)
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
result += fast_abs(src[k]);
result += std::abs(src[k]);
}
}
*_result = result;
modules/core/src/system.cpp
+5 -119
View File
@@ -465,6 +465,11 @@ void error( const Exception& exc )
throw exc;
}
void error(int _code, const String& _err, const char* _func, const char* _file, int _line)
{
error(cv::Exception(_code, _err, _func, _file, _line));
}
CvErrorCallback
redirectError( CvErrorCallback errCallback, void* userdata, void** prevUserdata)
{
@@ -671,125 +676,6 @@ cvErrorFromIppStatus( int status )
}
}
static CvModuleInfo cxcore_info = { 0, "cxcore", CV_VERSION, 0 };
CvModuleInfo* CvModule::first = 0, *CvModule::last = 0;
CvModule::CvModule( CvModuleInfo* _info )
{
cvRegisterModule( _info );
info = last;
}
CvModule::~CvModule(void)
{
if( info )
{
CvModuleInfo* p = first;
for( ; p != 0 && p->next != info; p = p->next )
;
if( p )
p->next = info->next;
if( first == info )
first = info->next;
if( last == info )
last = p;
free( info );
info = 0;
}
}
CV_IMPL int
cvRegisterModule( const CvModuleInfo* module )
{
CV_Assert( module != 0 && module->name != 0 && module->version != 0 );
size_t name_len = strlen(module->name);
size_t version_len = strlen(module->version);
CvModuleInfo* module_copy = (CvModuleInfo*)malloc( sizeof(*module_copy) +
name_len + 1 + version_len + 1 );
*module_copy = *module;
module_copy->name = (char*)(module_copy + 1);
module_copy->version = (char*)(module_copy + 1) + name_len + 1;
memcpy( (void*)module_copy->name, module->name, name_len + 1 );
memcpy( (void*)module_copy->version, module->version, version_len + 1 );
module_copy->next = 0;
if( CvModule::first == 0 )
CvModule::first = module_copy;
else
CvModule::last->next = module_copy;
CvModule::last = module_copy;
return 0;
}
CvModule cxcore_module( &cxcore_info );
CV_IMPL void
cvGetModuleInfo( const char* name, const char **version, const char **plugin_list )
{
static char joint_verinfo[1024] = "";
static char plugin_list_buf[1024] = "";
if( version )
*version = 0;
if( plugin_list )
*plugin_list = 0;
CvModuleInfo* module;
if( version )
{
if( name )
{
size_t i, name_len = strlen(name);
for( module = CvModule::first; module != 0; module = module->next )
{
if( strlen(module->name) == name_len )
{
for( i = 0; i < name_len; i++ )
{
int c0 = toupper(module->name[i]), c1 = toupper(name[i]);
if( c0 != c1 )
break;
}
if( i == name_len )
break;
}
}
if( !module )
CV_Error( CV_StsObjectNotFound, "The module is not found" );
*version = module->version;
}
else
{
char* ptr = joint_verinfo;
for( module = CvModule::first; module != 0; module = module->next )
{
sprintf( ptr, "%s: %s%s", module->name, module->version, module->next ? ", " : "" );
ptr += strlen(ptr);
}
*version = joint_verinfo;
}
}
if( plugin_list )
*plugin_list = plugin_list_buf;
}
#if defined BUILD_SHARED_LIBS && defined CVAPI_EXPORTS && defined WIN32 && !defined WINCE
BOOL WINAPI DllMain( HINSTANCE, DWORD fdwReason, LPVOID );
modules/core/test/test_arithm.cpp
+13 -13
View File
@@ -35,7 +35,7 @@ struct BaseElemWiseOp
virtual int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_ALL_BUT_8S, 1,
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1,
ninputs > 1 ? ARITHM_MAX_CHANNELS : 4);
}
@@ -425,7 +425,7 @@ struct CmpOp : public BaseElemWiseOp
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_ALL_BUT_8S, 1, 1);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1, 1);
}
double getMaxErr(int)
@@ -455,7 +455,7 @@ struct CmpSOp : public BaseElemWiseOp
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_ALL_BUT_8S, 1, 1);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1, 1);
}
double getMaxErr(int)
{
@@ -478,7 +478,7 @@ struct CopyOp : public BaseElemWiseOp
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
}
double getMaxErr(int)
{
@@ -501,7 +501,7 @@ struct SetOp : public BaseElemWiseOp
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
}
double getMaxErr(int)
{
@@ -718,8 +718,8 @@ struct ConvertScaleOp : public BaseElemWiseOp
}
int getRandomType(RNG& rng)
{
int srctype = cvtest::randomType(rng, DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
ddepth = cvtest::randomType(rng, DEPTH_MASK_ALL, 1, 1);
int srctype = cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
ddepth = cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, 1);
return srctype;
}
double getMaxErr(int)
@@ -957,7 +957,7 @@ struct ExpOp : public BaseElemWiseOp
ExpOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {};
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_FLT, 1, ARITHM_MAX_CHANNELS);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_FLT, 1, ARITHM_MAX_CHANNELS);
}
void getValueRange(int depth, double& minval, double& maxval)
{
@@ -984,7 +984,7 @@ struct LogOp : public BaseElemWiseOp
LogOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {};
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_FLT, 1, ARITHM_MAX_CHANNELS);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_FLT, 1, ARITHM_MAX_CHANNELS);
}
void getValueRange(int depth, double& minval, double& maxval)
{
@@ -1070,7 +1070,7 @@ struct CartToPolarToCartOp : public BaseElemWiseOp
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_FLT, 1, 1);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_FLT, 1, 1);
}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
@@ -1157,7 +1157,7 @@ struct CountNonZeroOp : public BaseElemWiseOp
{}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_ALL, 1, 1);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, 1);
}
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
@@ -1237,7 +1237,7 @@ struct NormOp : public BaseElemWiseOp
};
int getRandomType(RNG& rng)
{
int type = cvtest::randomType(rng, DEPTH_MASK_ALL_BUT_8S, 1, 4);
int type = cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1, 4);
for(;;)
{
normType = rng.uniform(1, 8);
@@ -1283,7 +1283,7 @@ struct MinMaxLocOp : public BaseElemWiseOp
};
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, DEPTH_MASK_ALL_BUT_8S, 1, 1);
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1, 1);
}
void saveOutput(const vector<int>& minidx, const vector<int>& maxidx,
double minval, double maxval, Mat& dst)
modules/core/test/test_io.cpp
+6 -5
View File
@@ -211,7 +211,7 @@ protected:
vector<int> pt;
if( !m || !CV_IS_MAT(m) || m->rows != test_mat.rows || m->cols != test_mat.cols ||
cvtest::cmpEps( Mat(&stub1), Mat(&_test_stub1), &max_diff, 0, &pt, true) < 0 )
cvtest::cmpEps( cv::cvarrToMat(&stub1), cv::cvarrToMat(&_test_stub1), &max_diff, 0, &pt, true) < 0 )
{
ts->printf( cvtest::TS::LOG, "the read matrix is not correct: (%.20g vs %.20g) at (%d,%d)\n",
cvGetReal2D(&stub1, pt[0], pt[1]), cvGetReal2D(&_test_stub1, pt[0], pt[1]),
@@ -241,7 +241,7 @@ protected:
if( !CV_ARE_TYPES_EQ(&stub, &_test_stub) ||
!CV_ARE_SIZES_EQ(&stub, &_test_stub) ||
//cvNorm(&stub, &_test_stub, CV_L2) != 0 )
cvtest::cmpEps( Mat(&stub1), Mat(&_test_stub1), &max_diff, 0, &pt, true) < 0 )
cvtest::cmpEps( cv::cvarrToMat(&stub1), cv::cvarrToMat(&_test_stub1), &max_diff, 0, &pt, true) < 0 )
{
ts->printf( cvtest::TS::LOG, "readObj method: the read nd matrix is not correct: (%.20g vs %.20g) vs at (%d,%d)\n",
cvGetReal2D(&stub1, pt[0], pt[1]), cvGetReal2D(&_test_stub1, pt[0], pt[1]),
@@ -259,7 +259,7 @@ protected:
if( !CV_ARE_TYPES_EQ(&stub, &_test_stub) ||
!CV_ARE_SIZES_EQ(&stub, &_test_stub) ||
//cvNorm(&stub, &_test_stub, CV_L2) != 0 )
cvtest::cmpEps( Mat(&stub1), Mat(&_test_stub1), &max_diff, 0, &pt, true) < 0 )
cvtest::cmpEps( cv::cvarrToMat(&stub1), cv::cvarrToMat(&_test_stub1), &max_diff, 0, &pt, true) < 0 )
{
ts->printf( cvtest::TS::LOG, "C++ method: the read nd matrix is not correct: (%.20g vs %.20g) vs at (%d,%d)\n",
cvGetReal2D(&stub1, pt[0], pt[1]), cvGetReal2D(&_test_stub1, pt[1], pt[0]),
@@ -271,11 +271,11 @@ protected:
cvRelease((void**)&m_nd);
Ptr<CvSparseMat> m_s = (CvSparseMat*)fs["test_sparse_mat"].readObj();
Ptr<CvSparseMat> _test_sparse_ = (CvSparseMat*)test_sparse_mat;
Ptr<CvSparseMat> _test_sparse_ = cvCreateSparseMat(test_sparse_mat);
Ptr<CvSparseMat> _test_sparse = (CvSparseMat*)cvClone(_test_sparse_);
SparseMat m_s2;
fs["test_sparse_mat"] >> m_s2;
Ptr<CvSparseMat> _m_s2 = (CvSparseMat*)m_s2;
Ptr<CvSparseMat> _m_s2 = cvCreateSparseMat(m_s2);
if( !m_s || !CV_IS_SPARSE_MAT(m_s) ||
!cvTsCheckSparse(m_s, _test_sparse,0) ||
@@ -378,6 +378,7 @@ protected:
TEST(Core_InputOutput, write_read_consistency) { Core_IOTest test; test.safe_run(); }
extern void testFormatter();
class CV_MiscIOTest : public cvtest::BaseTest
{
modules/core/test/test_mat.cpp
+3 -1
View File
@@ -1,5 +1,7 @@
#include "test_precomp.hpp"
#include <map>
using namespace cv;
using namespace std;
@@ -734,7 +736,7 @@ void Core_ArrayOpTest::run( int /* start_from */)
}
}
Ptr<CvSparseMat> M2 = (CvSparseMat*)M;
Ptr<CvSparseMat> M2 = cvCreateSparseMat(M);
MatND Md;
M.copyTo(Md);
SparseMat M3; SparseMat(Md).convertTo(M3, Md.type(), 2);
modules/core/test/test_math.cpp
+3 -3
View File
@@ -545,7 +545,7 @@ void Core_CrossProductTest::run_func()
void Core_CrossProductTest::prepare_to_validation( int )
{
CvScalar a = {{0,0,0,0}}, b = {{0,0,0,0}}, c = {{0,0,0,0}};
CvScalar a(0), b(0), c(0);
if( test_mat[INPUT][0].rows > 1 )
{
@@ -2292,9 +2292,9 @@ void Core_SolvePolyTest::run( int )
cvFlip(&amat, &amat, 0);
int nr2;
if( cubic_case == 0 )
nr2 = cv::solveCubic(cv::Mat(&amat),umat2);
nr2 = cv::solveCubic(cv::cvarrToMat(&amat),umat2);
else
nr2 = cv::solveCubic(cv::Mat_<float>(cv::Mat(&amat)), umat2);
nr2 = cv::solveCubic(cv::Mat_<float>(cv::cvarrToMat(&amat)), umat2);
cvFlip(&amat, &amat, 0);
if(nr2 > 0)
std::sort(ar2.begin(), ar2.begin()+nr2, pred_double());
modules/core/test/test_precomp.hpp
+2
View File
@@ -13,4 +13,6 @@
#include "opencv2/ts.hpp"
#include "opencv2/core/core_c.h"
#include "opencv2/core/private.hpp"
#endif
modules/features2d/include/opencv2/features2d.hpp
+1 -1
View File
@@ -43,10 +43,10 @@
#ifndef __OPENCV_FEATURES_2D_HPP__
#define __OPENCV_FEATURES_2D_HPP__
#include "opencv2/core.hpp"
#include "opencv2/flann/miniflann.hpp"
#ifdef __cplusplus
#include "opencv2/core.hpp"
#include <limits>
namespace cv
modules/features2d/src/matchers.cpp
-1
View File
@@ -41,7 +41,6 @@
#include "precomp.hpp"
#include "opencv2/core/internal.hpp"
#if defined(HAVE_EIGEN) && EIGEN_WORLD_VERSION == 2
#include <Eigen/Array>
#endif
modules/features2d/src/precomp.hpp
+1 -5
View File
@@ -43,16 +43,12 @@
#ifndef __OPENCV_PRECOMP_H__
#define __OPENCV_PRECOMP_H__
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#include "opencv2/features2d.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/core/utility.hpp"
#include "opencv2/core/internal.hpp"
#include "opencv2/core/private.hpp"
#include <algorithm>
modules/flann/include/opencv2/flann/lsh_table.h
+1 -1
View File
@@ -266,7 +266,7 @@ private:
const size_t key_size_upper_bound = std::min(sizeof(BucketKey) * CHAR_BIT + 1, sizeof(size_t) * CHAR_BIT);
if (key_size < key_size_lower_bound || key_size >= key_size_upper_bound)
{
CV_Error(CV_StsBadArg, cv::format("Invalid key_size (=%d). Valid values for your system are %d <= key_size < %d.", (int)key_size, (int)key_size_lower_bound, (int)key_size_upper_bound));
CV_Error(cv::Error::StsBadArg, cv::format("Invalid key_size (=%d). Valid values for your system are %d <= key_size < %d.", (int)key_size, (int)key_size_lower_bound, (int)key_size_upper_bound));
}
speed_level_ = kHash;
modules/flann/src/miniflann.cpp
+9 -9
View File
@@ -312,9 +312,9 @@ buildIndex_(void*& index, const Mat& data, const IndexParams& params, const Dist
{
typedef typename Distance::ElementType ElementType;
if(DataType<ElementType>::type != data.type())
CV_Error_(CV_StsUnsupportedFormat, ("type=%d\n", data.type()));
CV_Error_(Error::StsUnsupportedFormat, ("type=%d\n", data.type()));
if(!data.isContinuous())
CV_Error(CV_StsBadArg, "Only continuous arrays are supported");
CV_Error(Error::StsBadArg, "Only continuous arrays are supported");
::cvflann::Matrix<ElementType> dataset((ElementType*)data.data, data.rows, data.cols);
IndexType* _index = new IndexType(dataset, get_params(params), dist);
@@ -400,7 +400,7 @@ void Index::build(InputArray _data, const IndexParams& params, flann_distance_t
break;
#endif
default:
CV_Error(CV_StsBadArg, "Unknown/unsupported distance type");
CV_Error(Error::StsBadArg, "Unknown/unsupported distance type");
}
}
@@ -453,7 +453,7 @@ void Index::release()
break;
#endif
default:
CV_Error(CV_StsBadArg, "Unknown/unsupported distance type");
CV_Error(Error::StsBadArg, "Unknown/unsupported distance type");
}
index = 0;
}
@@ -585,7 +585,7 @@ void Index::knnSearch(InputArray _query, OutputArray _indices,
break;
#endif
default:
CV_Error(CV_StsBadArg, "Unknown/unsupported distance type");
CV_Error(Error::StsBadArg, "Unknown/unsupported distance type");
}
}
@@ -599,7 +599,7 @@ int Index::radiusSearch(InputArray _query, OutputArray _indices,
createIndicesDists( _indices, _dists, indices, dists, query.rows, maxResults, INT_MAX, dtype );
if( algo == FLANN_INDEX_LSH )
CV_Error( CV_StsNotImplemented, "LSH index does not support radiusSearch operation" );
CV_Error( Error::StsNotImplemented, "LSH index does not support radiusSearch operation" );
switch( distType )
{
@@ -623,7 +623,7 @@ int Index::radiusSearch(InputArray _query, OutputArray _indices,
return runRadiusSearch< ::cvflann::KL_Divergence<float> >(index, query, indices, dists, radius, params);
#endif
default:
CV_Error(CV_StsBadArg, "Unknown/unsupported distance type");
CV_Error(Error::StsBadArg, "Unknown/unsupported distance type");
}
return -1;
}
@@ -658,7 +658,7 @@ void Index::save(const String& filename) const
{
FILE* fout = fopen(filename.c_str(), "wb");
if (fout == NULL)
CV_Error_( CV_StsError, ("Can not open file %s for writing FLANN index\n", filename.c_str()) );
CV_Error_( Error::StsError, ("Can not open file %s for writing FLANN index\n", filename.c_str()) );
switch( distType )
{
@@ -691,7 +691,7 @@ void Index::save(const String& filename) const
default:
fclose(fout);
fout = 0;
CV_Error(CV_StsBadArg, "Unknown/unsupported distance type");
CV_Error(Error::StsBadArg, "Unknown/unsupported distance type");
}
if( fout )
fclose(fout);
modules/flann/src/precomp.hpp
+2 -4
View File
@@ -5,12 +5,8 @@
#include <cstdarg>
#include <sstream>
#ifdef HAVE_CVCONFIG_H
# include "cvconfig.h"
#endif
#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/core/internal.hpp"
#include "opencv2/flann/miniflann.hpp"
#include "opencv2/flann/dist.h"
@@ -24,5 +20,7 @@
#include "opencv2/flann/all_indices.h"
#include "opencv2/flann/flann_base.hpp"
#include "opencv2/core/private.hpp"
#endif
modules/gpu/perf/perf_precomp.hpp
+2 -2
View File
@@ -54,8 +54,6 @@
#include <cstdio>
#include <iostream>
#include "cvconfig.h"
#ifdef HAVE_CUDA
#include <cuda_runtime.h>
#endif
@@ -72,6 +70,8 @@
#include "opencv2/legacy.hpp"
#include "opencv2/photo.hpp"
#include "opencv2/core/private.hpp"
#ifdef GTEST_CREATE_SHARED_LIBRARY
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
#endif
modules/gpu/perf/perf_video.cpp
+2 -2
View File
@@ -596,8 +596,8 @@ PERF_TEST_P(Video, Video_FGDStatModel,
stopTimer();
}
const cv::Mat background = model->background;
const cv::Mat foreground = model->foreground;
const cv::Mat background = cv::cvarrToMat(model->background);
const cv::Mat foreground = cv::cvarrToMat(model->foreground);
CPU_SANITY_CHECK(background);
CPU_SANITY_CHECK(foreground);
modules/gpu/src/precomp.hpp
+2 -5
View File
@@ -47,10 +47,6 @@
#pragma warning( disable: 4251 4710 4711 4514 4996 )
#endif
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#include <cstring>
#include <iostream>
#include <limits>
@@ -71,9 +67,10 @@
#include "opencv2/imgproc.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/calib3d.hpp"
#include "opencv2/core/internal.hpp"
#include "opencv2/video.hpp"
#include "opencv2/core/private.hpp"
#if defined WIN32 || defined WINCE
#include <windows.h>
#undef small
modules/gpu/test/test_precomp.hpp
+2 -2
View File
@@ -64,8 +64,6 @@
#include <iterator>
#include <stdexcept>
#include "cvconfig.h"
#ifdef HAVE_CUDA
#include <cuda.h>
#include <cuda_runtime.h>
@@ -83,6 +81,8 @@
#include "interpolation.hpp"
#include "main_test_nvidia.h"
#include "opencv2/core/private.hpp"
#endif
#endif
modules/highgui/include/opencv2/highgui.hpp
+1 -1
View File
@@ -43,10 +43,10 @@
#ifndef __OPENCV_HIGHGUI_HPP__
#define __OPENCV_HIGHGUI_HPP__
#include "opencv2/core.hpp"
#include "opencv2/highgui/highgui_c.h"
#ifdef __cplusplus
#include "opencv2/core.hpp"
struct CvCapture;
struct CvVideoWriter;

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