source stringlengths 3 92 | c stringlengths 26 2.25M |
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VolumetricAdaptiveAveragePooling.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "THNN/generic/VolumetricAdaptiveAveragePooling.c"
#else
#define START_IND(a,b,c) (int)floor((float)(a * c) / b)
#define END_IND(a,b,c) (int)ceil((float)((a + 1) * c) / b)
// #define START_IND(a,b,c) a * c / b
// #define END_IND(a,b,c) (a + 1) * c / b + ((a + 1) * c % b > 0)?1:0
// 5d tensor B x D x T x H x W
static void THNN_(VolumetricAdaptiveAveragePooling_updateOutput_frame)(
scalar_t *input_p,
scalar_t *output_p,
int64_t sizeD,
int64_t isizeT,
int64_t isizeH,
int64_t isizeW,
int64_t osizeT,
int64_t osizeH,
int64_t osizeW,
int64_t istrideD,
int64_t istrideT,
int64_t istrideH,
int64_t istrideW)
{
int64_t d;
#pragma omp parallel for private(d)
for (d = 0; d < sizeD; d++)
{
/* loop over output */
int64_t ot, oh, ow;
for(ot = 0; ot < osizeT; ot++)
{
int istartT = START_IND(ot, osizeT, isizeT);
int iendT = END_IND(ot, osizeT, isizeT);
int kT = iendT - istartT;
for(oh = 0; oh < osizeH; oh++)
{
int istartH = START_IND(oh, osizeH, isizeH);
int iendH = END_IND(oh, osizeH, isizeH);
int kH = iendH - istartH;
for(ow = 0; ow < osizeW; ow++)
{
int istartW = START_IND(ow, osizeW, isizeW);
int iendW = END_IND(ow, osizeW, isizeW);
int kW = iendW - istartW;
/* local pointers */
scalar_t *ip = input_p + d*istrideD + istartT*istrideT + istartH*istrideH + istartW*istrideW;
scalar_t *op = output_p + d*osizeT*osizeH*osizeW + ot*osizeH*osizeW + oh*osizeW + ow;
/* compute local average: */
scalar_t sum = 0;
int it, ih, iw;
for(it = 0; it < kT; it++)
{
for(ih = 0; ih < kH; ih++)
{
for(iw = 0; iw < kW; iw++)
{
scalar_t val = *(ip + it*istrideT + ih*istrideH + iw*istrideW);
sum += val;
}
}
}
/* set output to local average */
*op = sum / kT / kH / kW;
}
}
}
}
}
void THNN_(VolumetricAdaptiveAveragePooling_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
int osizeT,
int osizeW,
int osizeH)
{
int dimD = 0;
int dimT = 1;
int dimH = 2;
int dimW = 3;
int64_t sizeB = 1;
int64_t sizeD = 0;
int64_t isizeT = 0;
int64_t isizeH = 0;
int64_t isizeW = 0;
int64_t istrideB = 0;
int64_t istrideD = 0;
int64_t istrideT = 0;
int64_t istrideH = 0;
int64_t istrideW = 0;
scalar_t *input_data = nullptr;
scalar_t *output_data = nullptr;
THNN_ARGCHECK(!input->is_empty() && (input->dim() == 4 || input->dim() == 5), 2, input,
"non-empty 4D or 5D (batch mode) tensor expected for input, but got: %s");
if (input->dim() == 5)
{
istrideB = input->stride(0);
sizeB = input->size(0);
dimD++;
dimT++;
dimH++;
dimW++;
}
/* sizes */
sizeD = input->size(dimD);
isizeT = input->size(dimT);
isizeH = input->size(dimH);
isizeW = input->size(dimW);
/* strides */
istrideD = input->stride(dimD);
istrideT = input->stride(dimT);
istrideH = input->stride(dimH);
istrideW = input->stride(dimW);
/* resize output */
if (input->dim() == 4)
{
THTensor_(resize4d)(output, sizeD, osizeT, osizeH, osizeW);
input_data = input->data<scalar_t>();
output_data = output->data<scalar_t>();
THNN_(VolumetricAdaptiveAveragePooling_updateOutput_frame)(input_data, output_data,
sizeD,
isizeT, isizeH, isizeW,
osizeT, osizeH, osizeW,
istrideD, istrideT,
istrideH, istrideW);
}
else
{
int64_t b;
THTensor_(resize5d)(output, sizeB, sizeD, osizeT, osizeH, osizeW);
input_data = input->data<scalar_t>();
output_data = output->data<scalar_t>();
#pragma omp parallel for private(b)
for (b = 0; b < sizeB; b++)
{
THNN_(VolumetricAdaptiveAveragePooling_updateOutput_frame)(input_data+b*istrideB, output_data+b*sizeD*osizeT*osizeH*osizeW,
sizeD,
isizeT, isizeH, isizeW,
osizeT, osizeH, osizeW,
istrideD, istrideT,
istrideH, istrideW);
}
}
}
static void THNN_(VolumetricAdaptiveAveragePooling_updateGradInput_frame)(
scalar_t *gradInput_p,
scalar_t *gradOutput_p,
int64_t sizeD,
int64_t isizeT,
int64_t isizeH,
int64_t isizeW,
int64_t osizeT,
int64_t osizeH,
int64_t osizeW)
{
int64_t d;
#pragma omp parallel for private(d)
for (d = 0; d < sizeD; d++)
{
scalar_t *gradInput_p_d = gradInput_p + d*isizeT*isizeW*isizeH;
scalar_t *gradOutput_p_d = gradOutput_p + d*osizeT*osizeW*osizeH;
/* calculate average */
int64_t ot, oh, ow;
for(ot = 0; ot < osizeT; ot++)
{
int istartT = START_IND(ot, osizeT, isizeT);
int iendT = END_IND(ot, osizeT, isizeT);
int kT = iendT - istartT;
for(oh = 0; oh < osizeH; oh++)
{
int istartH = START_IND(oh, osizeH, isizeH);
int iendH = END_IND(oh, osizeH, isizeH);
int kH = iendH - istartH;
for(ow = 0; ow < osizeW; ow++)
{
int istartW = START_IND(ow, osizeW, isizeW);
int iendW = END_IND(ow, osizeW, isizeW);
int kW = iendW - istartW;
scalar_t grad_delta = gradOutput_p_d[ot*osizeH*osizeW + oh*osizeW + ow] / kT / kH / kW;
int it, ih, iw;
for(it = istartT; it < iendT; it++)
{
for(ih = istartH; ih < iendH; ih++)
{
for(iw = istartW; iw < iendW; iw++)
{
/* update gradient */
gradInput_p_d[it*isizeH*isizeW + ih*isizeW + iw] += grad_delta;
}
}
}
}
}
}
}
}
void THNN_(VolumetricAdaptiveAveragePooling_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput)
{
int dimD = 0;
int dimT = 1;
int dimH = 2;
int dimW = 3;
int64_t sizeB = 1;
int64_t sizeD;
int64_t isizeT;
int64_t isizeH;
int64_t isizeW;
int64_t osizeT;
int64_t osizeH;
int64_t osizeW;
scalar_t *gradInput_data;
scalar_t *gradOutput_data;
/* get contiguous gradOutput */
gradOutput = THTensor_(newContiguous)(gradOutput);
/* resize */
THTensor_(resizeAs)(gradInput, input);
THTensor_(zero)(gradInput);
if (input->dim() == 5) {
sizeB = input->size(0);
dimD++;
dimT++;
dimH++;
dimW++;
}
/* sizes */
sizeD = input->size(dimD);
isizeT = input->size(dimT);
isizeH = input->size(dimH);
isizeW = input->size(dimW);
osizeT = gradOutput->size(dimT);
osizeH = gradOutput->size(dimH);
osizeW = gradOutput->size(dimW);
/* get raw pointers */
gradInput_data = gradInput->data<scalar_t>();
gradOutput_data = gradOutput->data<scalar_t>();
/* backprop */
if (input->dim() == 4)
{
THNN_(VolumetricAdaptiveAveragePooling_updateGradInput_frame)(gradInput_data, gradOutput_data,
sizeD,
isizeT, isizeH, isizeW,
osizeT, osizeH, osizeW);
}
else
{
int64_t b;
#pragma omp parallel for private(b)
for (b = 0; b < sizeB; b++)
{
THNN_(VolumetricAdaptiveAveragePooling_updateGradInput_frame)(gradInput_data+b*sizeD*isizeT*isizeH*isizeW, gradOutput_data+b*sizeD*osizeT*osizeH*osizeW,
sizeD,
isizeT, isizeH, isizeW,
osizeT, osizeH, osizeW);
}
}
/* cleanup */
c10::raw::intrusive_ptr::decref(gradOutput);
}
#endif
#undef START_IND
#undef END_IND
|
test.c | #include <omp.h>
#include <stdio.h>
#define N 1024
#define EXPLICIT_TARGET_TASK 0
#pragma omp requires unified_shared_memory
int A[N];
int B[N];
int C[N];
#if EXPLICIT_TARGET_TASK
#define LOMP_TASK_DEP_40 1
#define LOMP_TARGET_40 1
#define LOMP_PROC_BIND_40 1
#define LOMP_OS_LINUX 1
#define LOMP_CANCEL_40 1
#include "/gsa/yktgsa-h1/00/eichen/new-tlomp/lomp/include/omp_interface.h"
#define MAP_ITEM_SIZE (sizeof(int64_t))
#define MAP_SIZE (4*MAP_ITEM_SIZE)
void _of1(lomp_Handle handle, char *fparg, char *sharg)
{
// for now use a compiler generated target because I am not sure how to
// generate taret code, not sure its even possible directly from the
// compiler
#if 0
// get map pointers into frist private
int mapNum1 = 1;
int64_t *args1= (int64_t *) fparg;
int64_t *args_base1 = args1 + mapNum1;
int64_t *arg_sizes1 = args_base1 + mapNum1;
int64_t *arg_types1 = arg_sizes1 + mapNum1;
#endif
#pragma omp target nowait map(A)
{
int i;
for(int i=0; i<N; i++) A[i]++;
}
}
#endif
int main()
{
int i, errors;
for(i=0; i<N; i++) {
A[i] = i;
}
#if EXPLICIT_TARGET_TASK
#pragma omp target data map(A)
{
lomp_Handle h = _lomp_GetHandle();
// first task
lomp_TaskDep_Public *taskDepArray1;
int mapNum1 = 1;
void *fpagr1 = _lomp_Task_AllocateFirstPrivate_WithDeps(h, mapNum1 * MAP_SIZE, 1, &taskDepArray1);
#if 0
// get map pointers into frist private
int64_t *args1= (int64_t *) fparg1;
int64_t *args_base1 = args1 + mapNum1;
int64_t *arg_sizes1 = args_base1 + mapNum1;
int64_t *arg_types1 = arg_sizes1 + mapNum1;
// define maps
args1[0] = args_base1[0] = &A[0];
arg_sizes1[0] = N * sizeof(int);
arg_types1[0] = lomp_tmap_tofrom | lomp_tmap_target_param;
#endif
// set dependences
taskDepArray1[0].addr = &A[0];
taskDepArray1[0].status = LOMP_TASK_DEP_STATUS_OUT;
// launch target task
_lomp_TargetTask_Setup_WithDep(0, h, _of1, fpagr1, NULL, 0, 1, taskDepArray1, 0);
// second task
lomp_TaskDep_Public *taskDepArray2;
int mapNum2 = 1;
void *fpagr2 = _lomp_Task_AllocateFirstPrivate_WithDeps(h, mapNum2 * MAP_SIZE, 1, &taskDepArray2);
#if 0
// get map pointers into frist private
int64_t *arg2s= (int64_t *) fparg2;
int64_t *args_base2 = args2 + mapNum2;
int64_t *arg_sizes2 = args_base2 + mapNum2;
int64_t *arg_types2 = arg_sizes2 + mapNum2;
// define maps
args2[0] = args_base2[0] = &A[0];
arg_sizes2[0] = N * sizeof(int);
arg_types2[0] = lomp_tmap_tofrom | lomp_tmap_target_param;
#endif
// set dependences
taskDepArray2[0].addr = &A[0];
taskDepArray2[0].status = LOMP_TASK_DEP_STATUS_OUT;
// launch target task
_lomp_TargetTask_Setup_WithDep(0, h, _of1, fpagr2, NULL, 0, 1, taskDepArray2, 0);
#pragma omp taskwait
}
#elif 1
#pragma omp target data map(A)
{
#pragma omp target map(A) depend(out: A[0]) nowait
{
int i;
for(int i=0; i<N; i++) A[i]++;
}
#pragma omp target map(A) depend(out: A[0]) nowait
{
int i;
for(int i=0; i<N; i++) A[i]++;
}
#pragma omp taskwait
}
#else
#pragma omp target enter data map(to: A) depend(out: A[0]) nowait
#pragma omp target map(A) depend(out: A[0]) nowait
{
int i;
for(int i=0; i<N; i++) A[i]++;
}
#pragma omp target map(A) depend(out: A[0]) nowait
{
int i;
for(int i=0; i<N; i++) A[i]++;
}
#pragma omp target exit data map(from: A) depend(out: A[0]) nowait
#pragma omp taskwait
#endif
errors = 0;
for(i=0; i<N; i++) {
if (A[i] != i+2) printf("%d: got %d, expected %d; error %d\n", i, A[i], i+2, ++errors);
if (errors>25) break;
}
printf("completed with %d errors\n", errors);
return 1;
}
|
colorspace.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO L OOO RRRR SSSSS PPPP AAA CCCC EEEEE %
% C O O L O O R R SS P P A A C E %
% C O O L O O RRRR SSS PPPP AAAAA C EEE %
% C O O L O O R R SS P A A C E %
% CCCC OOO LLLLL OOO R R SSSSS P A A CCCC EEEEE %
% %
% %
% MagickCore Image Colorspace Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/attribute.h"
#include "magick/cache.h"
#include "magick/cache-private.h"
#include "magick/cache-view.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/enhance.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/gem.h"
#include "magick/gem-private.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/quantum.h"
#include "magick/resource_.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/utility.h"
/*
Typedef declarations.
*/
typedef struct _TransformPacket
{
MagickRealType
x,
y,
z;
} TransformPacket;
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C o l o r s p a c e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageColorspaceType() returns the potential colorspace of image:
% sRGBColorspaceType, RGBColorspaceType, GRAYColorspaceType, etc.
%
% To ensure the image type matches its potential, use SetImageColorspaceType():
%
% (void) SetImageColorspaceType(image,GetImageColorspaceType(image),
% exception);
%
% The format of the GetImageColorspaceType method is:
%
% ColorspaceType GetImageColorspaceType(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ColorspaceType GetImageColorspaceType(const Image *image,
ExceptionInfo *exception)
{
ColorspaceType
colorspace;
ImageType
type;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
colorspace=image->colorspace;
type=IdentifyImageType(image,exception);
if ((type == BilevelType) || (type == GrayscaleType) ||
(type == GrayscaleMatteType))
colorspace=GRAYColorspace;
return(colorspace);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R G B T r a n s f o r m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RGBTransformImage() converts the reference image from sRGB to an alternate
% colorspace. The transformation matrices are not the standard ones: the
% weights are rescaled to normalized the range of the transformed values to
% be [0..QuantumRange].
%
% The format of the RGBTransformImage method is:
%
% MagickBooleanType RGBTransformImage(Image *image,
% const ColorspaceType colorspace)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o colorspace: the colorspace to transform the image to.
%
*/
static inline void ConvertRGBToCMY(const Quantum red,const Quantum green,
const Quantum blue,double *cyan,double *magenta,double *yellow)
{
*cyan=QuantumScale*(QuantumRange-red);
*magenta=QuantumScale*(QuantumRange-green);
*yellow=QuantumScale*(QuantumRange-blue);
}
static void ConvertRGBToLab(const Quantum red,const Quantum green,
const Quantum blue,double *L,double *a,double *b)
{
double
X,
Y,
Z;
ConvertRGBToXYZ(red,green,blue,&X,&Y,&Z);
ConvertXYZToLab(X,Y,Z,L,a,b);
}
static inline void ConvertXYZToLMS(const double x,const double y,
const double z,double *L,double *M,double *S)
{
*L=0.7328*x+0.4296*y-0.1624*z;
*M=(-0.7036*x+1.6975*y+0.0061*z);
*S=0.0030*x+0.0136*y+0.9834*z;
}
static void ConvertRGBToLMS(const Quantum red,const Quantum green,
const Quantum blue,double *L,double *M,double *S)
{
double
X,
Y,
Z;
ConvertRGBToXYZ(red,green,blue,&X,&Y,&Z);
ConvertXYZToLMS(X,Y,Z,L,M,S);
}
static void ConvertRGBToLuv(const Quantum red,const Quantum green,
const Quantum blue,double *L,double *u,double *v)
{
double
X,
Y,
Z;
ConvertRGBToXYZ(red,green,blue,&X,&Y,&Z);
ConvertXYZToLuv(X,Y,Z,L,u,v);
}
static void ConvertRGBToxyY(const Quantum red,const Quantum green,
const Quantum blue,double *low_x,double *low_y,double *cap_Y)
{
double
gamma,
X,
Y,
Z;
ConvertRGBToXYZ(red,green,blue,&X,&Y,&Z);
gamma=PerceptibleReciprocal(X+Y+Z);
*low_x=gamma*X;
*low_y=gamma*Y;
*cap_Y=Y;
}
static void ConvertRGBToYPbPr(const Quantum red,const Quantum green,
const Quantum blue,double *Y,double *Pb,double *Pr)
{
*Y=QuantumScale*(0.298839*red+0.586811*green+0.114350*blue);
*Pb=QuantumScale*((-0.1687367)*red-0.331264*green+0.5*blue)+0.5;
*Pr=QuantumScale*(0.5*red-0.418688*green-0.081312*blue)+0.5;
}
static void ConvertRGBToYCbCr(const Quantum red,const Quantum green,
const Quantum blue,double *Y,double *Cb,double *Cr)
{
ConvertRGBToYPbPr(red,green,blue,Y,Cb,Cr);
}
static void ConvertRGBToYUV(const Quantum red,const Quantum green,
const Quantum blue,double *Y,double *U,double *V)
{
*Y=QuantumScale*(0.298839*red+0.586811*green+0.114350*blue);
*U=QuantumScale*((-0.147)*red-0.289*green+0.436*blue)+0.5;
*V=QuantumScale*(0.615*red-0.515*green-0.100*blue)+0.5;
}
static void ConvertRGBToYDbDr(const Quantum red,const Quantum green,
const Quantum blue,double *Y,double *Db,double *Dr)
{
*Y=QuantumScale*(0.298839*red+0.586811*green+0.114350*blue);
*Db=QuantumScale*(-0.450*red-0.883*green+1.333*blue)+0.5;
*Dr=QuantumScale*(-1.333*red+1.116*green+0.217*blue)+0.5;
}
static void ConvertRGBToYIQ(const Quantum red,const Quantum green,
const Quantum blue,double *Y,double *I,double *Q)
{
*Y=QuantumScale*(0.298839*red+0.586811*green+0.114350*blue);
*I=QuantumScale*(0.595716*red-0.274453*green-0.321263*blue)+0.5;
*Q=QuantumScale*(0.211456*red-0.522591*green+0.311135*blue)+0.5;
}
MagickExport MagickBooleanType RGBTransformImage(Image *image,
const ColorspaceType colorspace)
{
#define RGBTransformImageTag "RGBTransform/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
PrimaryInfo
primary_info;
register ssize_t
i;
ssize_t
y;
TransformPacket
*x_map,
*y_map,
*z_map;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(colorspace != sRGBColorspace);
assert(colorspace != TransparentColorspace);
assert(colorspace != UndefinedColorspace);
status=MagickTrue;
progress=0;
exception=(&image->exception);
switch (colorspace)
{
case CMYKColorspace:
{
MagickPixelPacket
zero;
/*
Convert RGB to CMYK colorspace.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
GetMagickPixelPacket(image,&zero);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel;
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,q,indexes+x,&pixel);
pixel.red=(MagickRealType) pixel.red;
pixel.green=(MagickRealType) pixel.green;
pixel.blue=(MagickRealType) pixel.blue;
ConvertRGBToCMYK(&pixel);
SetPixelPacket(image,&pixel,q,indexes+x);
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->type=image->matte == MagickFalse ? ColorSeparationType :
ColorSeparationMatteType;
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case LinearGRAYColorspace:
{
/*
Transform image from sRGB to GRAY.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
gray;
gray=0.212656*GetPixelRed(q)+0.715158*GetPixelGreen(q)+
0.072186*GetPixelBlue(q);
SetPixelGray(q,ClampToQuantum(DecodePixelGamma(gray)));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
image->type=GrayscaleType;
return(status);
}
case GRAYColorspace:
{
/*
Transform image from sRGB to GRAY.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
gray;
gray=0.212656*GetPixelRed(q)+0.715158*GetPixelGreen(q)+
0.072186*GetPixelBlue(q);
SetPixelGray(q,ClampToQuantum(gray));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
image->type=GrayscaleType;
return(status);
}
case CMYColorspace:
case HCLColorspace:
case HCLpColorspace:
case HSBColorspace:
case HSIColorspace:
case HSLColorspace:
case HSVColorspace:
case HWBColorspace:
case LabColorspace:
case LCHColorspace:
case LCHabColorspace:
case LCHuvColorspace:
case LMSColorspace:
case LuvColorspace:
case xyYColorspace:
case XYZColorspace:
case YCbCrColorspace:
case YDbDrColorspace:
case YIQColorspace:
case YPbPrColorspace:
case YUVColorspace:
{
/*
Transform image from sRGB to HSI.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
X,
Y,
Z;
Quantum
blue,
green,
red;
red=ClampToQuantum((MagickRealType) GetPixelRed(q));
green=ClampToQuantum((MagickRealType) GetPixelGreen(q));
blue=ClampToQuantum((MagickRealType) GetPixelBlue(q));
switch (colorspace)
{
case CMYColorspace:
{
ConvertRGBToCMY(red,green,blue,&X,&Y,&Z);
break;
}
case HCLColorspace:
{
ConvertRGBToHCL(red,green,blue,&X,&Y,&Z);
break;
}
case HCLpColorspace:
{
ConvertRGBToHCLp(red,green,blue,&X,&Y,&Z);
break;
}
case HSBColorspace:
{
ConvertRGBToHSB(red,green,blue,&X,&Y,&Z);
break;
}
case HSIColorspace:
{
ConvertRGBToHSI(red,green,blue,&X,&Y,&Z);
break;
}
case HSLColorspace:
{
ConvertRGBToHSL(red,green,blue,&X,&Y,&Z);
break;
}
case HSVColorspace:
{
ConvertRGBToHSV(red,green,blue,&X,&Y,&Z);
break;
}
case HWBColorspace:
{
ConvertRGBToHWB(red,green,blue,&X,&Y,&Z);
break;
}
case LabColorspace:
{
ConvertRGBToLab(red,green,blue,&X,&Y,&Z);
break;
}
case LCHColorspace:
case LCHabColorspace:
{
ConvertRGBToLCHab(red,green,blue,&X,&Y,&Z);
break;
}
case LCHuvColorspace:
{
ConvertRGBToLCHuv(red,green,blue,&X,&Y,&Z);
break;
}
case LMSColorspace:
{
ConvertRGBToLMS(red,green,blue,&X,&Y,&Z);
break;
}
case LuvColorspace:
{
ConvertRGBToLuv(red,green,blue,&X,&Y,&Z);
break;
}
case xyYColorspace:
{
ConvertRGBToxyY(red,green,blue,&X,&Y,&Z);
break;
}
case XYZColorspace:
{
ConvertRGBToXYZ(red,green,blue,&X,&Y,&Z);
break;
}
case YCbCrColorspace:
{
ConvertRGBToYCbCr(red,green,blue,&X,&Y,&Z);
break;
}
case YDbDrColorspace:
{
ConvertRGBToYDbDr(red,green,blue,&X,&Y,&Z);
break;
}
case YIQColorspace:
{
ConvertRGBToYIQ(red,green,blue,&X,&Y,&Z);
break;
}
case YPbPrColorspace:
{
ConvertRGBToYPbPr(red,green,blue,&X,&Y,&Z);
break;
}
case YUVColorspace:
{
ConvertRGBToYUV(red,green,blue,&X,&Y,&Z);
break;
}
default:
{
X=QuantumScale*red;
Y=QuantumScale*green;
Z=QuantumScale*blue;
break;
}
}
SetPixelRed(q,ClampToQuantum((MagickRealType) QuantumRange*X));
SetPixelGreen(q,ClampToQuantum((MagickRealType) QuantumRange*Y));
SetPixelBlue(q,ClampToQuantum((MagickRealType) QuantumRange*Z));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case LogColorspace:
{
#define DisplayGamma (1.0/1.7)
#define FilmGamma 0.6
#define ReferenceBlack 95.0
#define ReferenceWhite 685.0
const char
*value;
double
black,
density,
film_gamma,
gamma,
reference_black,
reference_white;
Quantum
*logmap;
/*
Transform RGB to Log colorspace.
*/
density=DisplayGamma;
gamma=DisplayGamma;
value=GetImageProperty(image,"gamma");
if (value != (const char *) NULL)
gamma=PerceptibleReciprocal(StringToDouble(value,(char **) NULL));
film_gamma=FilmGamma;
value=GetImageProperty(image,"film-gamma");
if (value != (const char *) NULL)
film_gamma=StringToDouble(value,(char **) NULL);
reference_black=ReferenceBlack;
value=GetImageProperty(image,"reference-black");
if (value != (const char *) NULL)
reference_black=StringToDouble(value,(char **) NULL);
reference_white=ReferenceWhite;
value=GetImageProperty(image,"reference-white");
if (value != (const char *) NULL)
reference_white=StringToDouble(value,(char **) NULL);
logmap=(Quantum *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*logmap));
if (logmap == (Quantum *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
black=pow(10.0,(reference_black-reference_white)*(gamma/density)*0.002/
film_gamma);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
logmap[i]=ScaleMapToQuantum((MagickRealType) (MaxMap*(reference_white+
log10(black+(1.0*i/MaxMap)*(1.0-black))/((gamma/density)*0.002/
film_gamma))/1024.0));
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=(ssize_t) image->columns; x != 0; x--)
{
Quantum
blue,
green,
red;
red=ClampToQuantum(DecodePixelGamma((MagickRealType)
GetPixelRed(q)));
green=ClampToQuantum(DecodePixelGamma((MagickRealType)
GetPixelGreen(q)));
blue=ClampToQuantum(DecodePixelGamma((MagickRealType)
GetPixelBlue(q)));
SetPixelRed(q,logmap[ScaleQuantumToMap(red)]);
SetPixelGreen(q,logmap[ScaleQuantumToMap(green)]);
SetPixelBlue(q,logmap[ScaleQuantumToMap(blue)]);
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
logmap=(Quantum *) RelinquishMagickMemory(logmap);
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case RGBColorspace:
case scRGBColorspace:
{
/*
Transform image from sRGB to linear RGB.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
Quantum
blue,
green,
red;
red=ClampToQuantum(DecodePixelGamma((MagickRealType)
GetPixelRed(q)));
green=ClampToQuantum(DecodePixelGamma((MagickRealType)
GetPixelGreen(q)));
blue=ClampToQuantum(DecodePixelGamma((MagickRealType)
GetPixelBlue(q)));
SetPixelRed(q,red);
SetPixelGreen(q,green);
SetPixelBlue(q,blue);
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
default:
break;
}
/*
Allocate the tables.
*/
x_map=(TransformPacket *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*x_map));
y_map=(TransformPacket *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*y_map));
z_map=(TransformPacket *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*z_map));
if ((x_map == (TransformPacket *) NULL) ||
(y_map == (TransformPacket *) NULL) ||
(z_map == (TransformPacket *) NULL))
{
if (x_map != (TransformPacket *) NULL)
x_map=(TransformPacket *) RelinquishMagickMemory(x_map);
if (y_map != (TransformPacket *) NULL)
y_map=(TransformPacket *) RelinquishMagickMemory(y_map);
if (z_map != (TransformPacket *) NULL)
z_map=(TransformPacket *) RelinquishMagickMemory(z_map);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
(void) memset(&primary_info,0,sizeof(primary_info));
switch (colorspace)
{
case OHTAColorspace:
{
/*
Initialize OHTA tables:
I1 = 0.33333*R+0.33334*G+0.33333*B
I2 = 0.50000*R+0.00000*G-0.50000*B
I3 =-0.25000*R+0.50000*G-0.25000*B
I and Q, normally -0.5 through 0.5, are normalized to the range 0
through QuantumRange.
*/
primary_info.y=(double) (MaxMap+1.0)/2.0;
primary_info.z=(double) (MaxMap+1.0)/2.0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (0.33333*(double) i);
x_map[i].y=(MagickRealType) (0.50000*(double) i);
x_map[i].z=(MagickRealType) (-0.25000*(double) i);
y_map[i].x=(MagickRealType) (0.33334*(double) i);
y_map[i].y=(MagickRealType) (0.00000*(double) i);
y_map[i].z=(MagickRealType) (0.50000*(double) i);
z_map[i].x=(MagickRealType) (0.33333*(double) i);
z_map[i].y=(MagickRealType) (-0.50000*(double) i);
z_map[i].z=(MagickRealType) (-0.25000*(double) i);
}
break;
}
case Rec601LumaColorspace:
{
/*
Initialize Rec601 luma tables:
G = 0.298839*R+0.586811*G+0.114350*B
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (0.298839*(double) i);
x_map[i].y=(MagickRealType) (0.298839*(double) i);
x_map[i].z=(MagickRealType) (0.298839*(double) i);
y_map[i].x=(MagickRealType) (0.586811*(double) i);
y_map[i].y=(MagickRealType) (0.586811*(double) i);
y_map[i].z=(MagickRealType) (0.586811*(double) i);
z_map[i].x=(MagickRealType) (0.114350*(double) i);
z_map[i].y=(MagickRealType) (0.114350*(double) i);
z_map[i].z=(MagickRealType) (0.114350*(double) i);
}
break;
}
case Rec601YCbCrColorspace:
{
/*
Initialize YCbCr tables (ITU-R BT.601):
Y = 0.2988390*R+0.5868110*G+0.1143500*B
Cb= -0.1687367*R-0.3312640*G+0.5000000*B
Cr= 0.5000000*R-0.4186880*G-0.0813120*B
Cb and Cr, normally -0.5 through 0.5, are normalized to the range 0
through QuantumRange.
*/
primary_info.y=(double) (MaxMap+1.0)/2.0;
primary_info.z=(double) (MaxMap+1.0)/2.0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (0.298839*(double) i);
x_map[i].y=(MagickRealType) (-0.1687367*(double) i);
x_map[i].z=(MagickRealType) (0.500000*(double) i);
y_map[i].x=(MagickRealType) (0.586811*(double) i);
y_map[i].y=(MagickRealType) (-0.331264*(double) i);
y_map[i].z=(MagickRealType) (-0.418688*(double) i);
z_map[i].x=(MagickRealType) (0.114350*(double) i);
z_map[i].y=(MagickRealType) (0.500000*(double) i);
z_map[i].z=(MagickRealType) (-0.081312*(double) i);
}
break;
}
case Rec709LumaColorspace:
{
/*
Initialize Rec709 luma tables:
G = 0.212656*R+0.715158*G+0.072186*B
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (0.212656*(double) i);
x_map[i].y=(MagickRealType) (0.212656*(double) i);
x_map[i].z=(MagickRealType) (0.212656*(double) i);
y_map[i].x=(MagickRealType) (0.715158*(double) i);
y_map[i].y=(MagickRealType) (0.715158*(double) i);
y_map[i].z=(MagickRealType) (0.715158*(double) i);
z_map[i].x=(MagickRealType) (0.072186*(double) i);
z_map[i].y=(MagickRealType) (0.072186*(double) i);
z_map[i].z=(MagickRealType) (0.072186*(double) i);
}
break;
}
case Rec709YCbCrColorspace:
{
/*
Initialize YCbCr tables (ITU-R BT.709):
Y = 0.212656*R+0.715158*G+0.072186*B
Cb= -0.114572*R-0.385428*G+0.500000*B
Cr= 0.500000*R-0.454153*G-0.045847*B
Cb and Cr, normally -0.5 through 0.5, are normalized to the range 0
through QuantumRange.
*/
primary_info.y=(double) (MaxMap+1.0)/2.0;
primary_info.z=(double) (MaxMap+1.0)/2.0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (0.212656*(double) i);
x_map[i].y=(MagickRealType) (-0.114572*(double) i);
x_map[i].z=(MagickRealType) (0.500000*(double) i);
y_map[i].x=(MagickRealType) (0.715158*(double) i);
y_map[i].y=(MagickRealType) (-0.385428*(double) i);
y_map[i].z=(MagickRealType) (-0.454153*(double) i);
z_map[i].x=(MagickRealType) (0.072186*(double) i);
z_map[i].y=(MagickRealType) (0.500000*(double) i);
z_map[i].z=(MagickRealType) (-0.045847*(double) i);
}
break;
}
case YCCColorspace:
{
/*
Initialize YCC tables:
Y = 0.298839*R+0.586811*G+0.114350*B
C1= -0.298839*R-0.586811*G+0.88600*B
C2= 0.70100*R-0.586811*G-0.114350*B
YCC is scaled by 1.3584. C1 zero is 156 and C2 is at 137.
*/
primary_info.y=(double) ScaleQuantumToMap(ScaleCharToQuantum(156));
primary_info.z=(double) ScaleQuantumToMap(ScaleCharToQuantum(137));
for (i=0; i <= (ssize_t) (0.018*MaxMap); i++)
{
x_map[i].x=0.005382*i;
x_map[i].y=(-0.003296)*i;
x_map[i].z=0.009410*i;
y_map[i].x=0.010566*i;
y_map[i].y=(-0.006471)*i;
y_map[i].z=(-0.007880)*i;
z_map[i].x=0.002052*i;
z_map[i].y=0.009768*i;
z_map[i].z=(-0.001530)*i;
}
for ( ; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=0.298839*(1.099*i-0.099);
x_map[i].y=(-0.298839)*(1.099*i-0.099);
x_map[i].z=0.70100*(1.099*i-0.099);
y_map[i].x=0.586811*(1.099*i-0.099);
y_map[i].y=(-0.586811)*(1.099*i-0.099);
y_map[i].z=(-0.586811)*(1.099*i-0.099);
z_map[i].x=0.114350*(1.099*i-0.099);
z_map[i].y=0.88600*(1.099*i-0.099);
z_map[i].z=(-0.114350)*(1.099*i-0.099);
}
break;
}
default:
{
/*
Linear conversion tables.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (1.0*(double) i);
y_map[i].x=(MagickRealType) 0.0;
z_map[i].x=(MagickRealType) 0.0;
x_map[i].y=(MagickRealType) 0.0;
y_map[i].y=(MagickRealType) (1.0*(double) i);
z_map[i].y=(MagickRealType) 0.0;
x_map[i].z=(MagickRealType) 0.0;
y_map[i].z=(MagickRealType) 0.0;
z_map[i].z=(MagickRealType) (1.0*(double) i);
}
break;
}
}
/*
Convert from sRGB.
*/
switch (image->storage_class)
{
case DirectClass:
default:
{
/*
Convert DirectClass image.
*/
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
register size_t
blue,
green,
red;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
red=ScaleQuantumToMap(ClampToQuantum((MagickRealType)
GetPixelRed(q)));
green=ScaleQuantumToMap(ClampToQuantum((MagickRealType)
GetPixelGreen(q)));
blue=ScaleQuantumToMap(ClampToQuantum((MagickRealType)
GetPixelBlue(q)));
pixel.red=(x_map[red].x+y_map[green].x+z_map[blue].x)+
(MagickRealType) primary_info.x;
pixel.green=(x_map[red].y+y_map[green].y+z_map[blue].y)+
(MagickRealType) primary_info.y;
pixel.blue=(x_map[red].z+y_map[green].z+z_map[blue].z)+
(MagickRealType) primary_info.z;
SetPixelRed(q,ScaleMapToQuantum(pixel.red));
SetPixelGreen(q,ScaleMapToQuantum(pixel.green));
SetPixelBlue(q,ScaleMapToQuantum(pixel.blue));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,RGBTransformImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
break;
}
case PseudoClass:
{
register size_t
blue,
green,
red;
/*
Convert PseudoClass image.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
MagickPixelPacket
pixel;
red=ScaleQuantumToMap(ClampToQuantum((MagickRealType)
image->colormap[i].red));
green=ScaleQuantumToMap(ClampToQuantum((MagickRealType)
image->colormap[i].green));
blue=ScaleQuantumToMap(ClampToQuantum((MagickRealType)
image->colormap[i].blue));
pixel.red=x_map[red].x+y_map[green].x+z_map[blue].x+primary_info.x;
pixel.green=x_map[red].y+y_map[green].y+z_map[blue].y+primary_info.y;
pixel.blue=x_map[red].z+y_map[green].z+z_map[blue].z+primary_info.z;
image->colormap[i].red=ScaleMapToQuantum(pixel.red);
image->colormap[i].green=ScaleMapToQuantum(pixel.green);
image->colormap[i].blue=ScaleMapToQuantum(pixel.blue);
}
(void) SyncImage(image);
break;
}
}
/*
Relinquish resources.
*/
z_map=(TransformPacket *) RelinquishMagickMemory(z_map);
y_map=(TransformPacket *) RelinquishMagickMemory(y_map);
x_map=(TransformPacket *) RelinquishMagickMemory(x_map);
if (SetImageColorspace(image,colorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C o l o r s p a c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageColorspace() sets the colorspace member of the Image structure.
%
% The format of the SetImageColorspace method is:
%
% MagickBooleanType SetImageColorspace(Image *image,
% const ColorspaceType colorspace)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o colorspace: the colorspace.
%
*/
MagickExport MagickBooleanType SetImageColorspace(Image *image,
const ColorspaceType colorspace)
{
ImageType
type;
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->colorspace == colorspace)
return(MagickTrue);
image->colorspace=colorspace;
image->rendering_intent=UndefinedIntent;
image->gamma=1.000/2.200;
(void) memset(&image->chromaticity,0,sizeof(image->chromaticity));
type=image->type;
if (IsGrayColorspace(colorspace) != MagickFalse)
{
if (colorspace == LinearGRAYColorspace)
image->gamma=1.0;
type=GrayscaleType;
}
else
if ((IsRGBColorspace(colorspace) != MagickFalse) ||
(colorspace == XYZColorspace) || (colorspace == xyYColorspace))
image->gamma=1.0;
else
{
image->rendering_intent=PerceptualIntent;
image->chromaticity.red_primary.x=0.6400;
image->chromaticity.red_primary.y=0.3300;
image->chromaticity.red_primary.z=0.0300;
image->chromaticity.green_primary.x=0.3000;
image->chromaticity.green_primary.y=0.6000;
image->chromaticity.green_primary.z=0.1000;
image->chromaticity.blue_primary.x=0.1500;
image->chromaticity.blue_primary.y=0.0600;
image->chromaticity.blue_primary.z=0.7900;
image->chromaticity.white_point.x=0.3127;
image->chromaticity.white_point.y=0.3290;
image->chromaticity.white_point.z=0.3583;
}
status=SyncImagePixelCache(image,&image->exception);
image->type=type;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e G r a y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageGray() returns MagickTrue if all the pixels in the image have the
% same red, green, and blue intensities and changes the type of the image to
% bi-level or grayscale.
%
% The format of the SetImageGray method is:
%
% MagickBooleanType SetImageGray(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageGray(Image *image,
ExceptionInfo *exception)
{
const char
*value;
CacheView
*image_view;
ImageType
type;
register const PixelPacket
*p;
register ssize_t
x;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->type == BilevelType) || (image->type == GrayscaleType) ||
(image->type == GrayscaleMatteType))
return(MagickTrue);
if ((IsGrayColorspace(image->colorspace) == MagickFalse) &&
(IssRGBCompatibleColorspace(image->colorspace) == MagickFalse))
return(MagickFalse);
value=GetImageProperty(image,"colorspace:auto-grayscale");
if (IsStringNotFalse(value) == MagickFalse)
return(MagickFalse);
type=BilevelType;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsGrayPixel(p) == MagickFalse)
{
type=UndefinedType;
break;
}
if ((type == BilevelType) && (IsMonochromePixel(p) == MagickFalse))
type=GrayscaleType;
p++;
}
if (type == UndefinedType)
break;
}
image_view=DestroyCacheView(image_view);
if (type == UndefinedType)
return(MagickFalse);
image->colorspace=GRAYColorspace;
if (SyncImagePixelCache((Image *) image,exception) == MagickFalse)
return(MagickFalse);
image->type=type;
if ((type == GrayscaleType) && (image->matte != MagickFalse))
image->type=GrayscaleMatteType;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e M o n o c h r o m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageMonochrome() returns MagickTrue if all the pixels in the image have
% the same red, green, and blue intensities and the intensity is either
% 0 or QuantumRange and changes the type of the image to bi-level.
%
% The format of the SetImageMonochrome method is:
%
% MagickBooleanType SetImageMonochrome(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageMonochrome(Image *image,
ExceptionInfo *exception)
{
const char
*value;
CacheView
*image_view;
ImageType
type;
register ssize_t
x;
register const PixelPacket
*p;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->type == BilevelType)
return(MagickTrue);
if ((IsGrayColorspace(image->colorspace) == MagickFalse) &&
(IssRGBCompatibleColorspace(image->colorspace) == MagickFalse))
return(MagickFalse);
value=GetImageProperty(image,"colorspace:auto-grayscale");
if (IsStringNotFalse(value) == MagickFalse)
return(MagickFalse);
type=BilevelType;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsMonochromePixel(p) == MagickFalse)
{
type=UndefinedType;
break;
}
p++;
}
if (type == UndefinedType)
break;
}
image_view=DestroyCacheView(image_view);
if (type == UndefinedType)
return(MagickFalse);
image->colorspace=GRAYColorspace;
if (SyncImagePixelCache((Image *) image,exception) == MagickFalse)
return(MagickFalse);
image->type=type;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s f o r m I m a g e C o l o r s p a c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransformImageColorspace() transforms an image colorspace.
%
% The format of the TransformImageColorspace method is:
%
% MagickBooleanType TransformImageColorspace(Image *image,
% const ColorspaceType colorspace)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o colorspace: the colorspace.
%
*/
MagickExport MagickBooleanType TransformImageColorspace(Image *image,
const ColorspaceType colorspace)
{
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->colorspace == colorspace)
return(MagickTrue);
(void) DeleteImageProfile(image,"icc");
(void) DeleteImageProfile(image,"icm");
if (colorspace == UndefinedColorspace)
return(SetImageColorspace(image,colorspace));
/*
Convert the reference image from an alternate colorspace to sRGB.
*/
if (IssRGBColorspace(colorspace) != MagickFalse)
return(TransformRGBImage(image,image->colorspace));
status=MagickTrue;
if (IssRGBColorspace(image->colorspace) == MagickFalse)
status=TransformRGBImage(image,image->colorspace);
if (status == MagickFalse)
return(status);
/*
Convert the reference image from sRGB to an alternate colorspace.
*/
if (RGBTransformImage(image,colorspace) == MagickFalse)
status=MagickFalse;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ T r a n s f o r m R G B I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransformRGBImage() converts the reference image from an alternate
% colorspace to sRGB. The transformation matrices are not the standard ones:
% the weights are rescaled to normalize the range of the transformed values to
% be [0..QuantumRange].
%
% The format of the TransformRGBImage method is:
%
% MagickBooleanType TransformRGBImage(Image *image,
% const ColorspaceType colorspace)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o colorspace: the colorspace to transform the image to.
%
*/
static inline void ConvertCMYToRGB(const double cyan,const double magenta,
const double yellow,Quantum *red,Quantum *green,Quantum *blue)
{
*red=ClampToQuantum(QuantumRange*(1.0-cyan));
*green=ClampToQuantum(QuantumRange*(1.0-magenta));
*blue=ClampToQuantum(QuantumRange*(1.0-yellow));
}
static inline void ConvertLMSToXYZ(const double L,const double M,const double S,
double *X,double *Y,double *Z)
{
*X=1.096123820835514*L-0.278869000218287*M+0.182745179382773*S;
*Y=0.454369041975359*L+0.473533154307412*M+0.072097803717229*S;
*Z=(-0.009627608738429)*L-0.005698031216113*M+1.015325639954543*S;
}
static inline void ConvertLMSToRGB(const double L,const double M,
const double S,Quantum *red,Quantum *green,Quantum *blue)
{
double
X,
Y,
Z;
ConvertLMSToXYZ(L,M,S,&X,&Y,&Z);
ConvertXYZToRGB(X,Y,Z,red,green,blue);
}
static inline void ConvertLuvToRGB(const double L,const double u,
const double v,Quantum *red,Quantum *green,Quantum *blue)
{
double
X,
Y,
Z;
ConvertLuvToXYZ(100.0*L,354.0*u-134.0,262.0*v-140.0,&X,&Y,&Z);
ConvertXYZToRGB(X,Y,Z,red,green,blue);
}
static inline ssize_t RoundToYCC(const MagickRealType value)
{
if (value <= 0.0)
return(0);
if (value >= 1388.0)
return(1388);
return((ssize_t) (value+0.5));
}
static inline void ConvertLabToRGB(const double L,const double a,
const double b,Quantum *red,Quantum *green,Quantum *blue)
{
double
X,
Y,
Z;
ConvertLabToXYZ(100.0*L,255.0*(a-0.5),255.0*(b-0.5),&X,&Y,&Z);
ConvertXYZToRGB(X,Y,Z,red,green,blue);
}
static inline void ConvertxyYToRGB(const double low_x,const double low_y,
const double cap_Y,Quantum *red,Quantum *green,Quantum *blue)
{
double
gamma,
X,
Y,
Z;
gamma=PerceptibleReciprocal(low_y);
X=gamma*cap_Y*low_x;
Y=cap_Y;
Z=gamma*cap_Y*(1.0-low_x-low_y);
ConvertXYZToRGB(X,Y,Z,red,green,blue);
}
static void ConvertYPbPrToRGB(const double Y,const double Pb,const double Pr,
Quantum *red,Quantum *green,Quantum *blue)
{
*red=ClampToQuantum(QuantumRange*(0.99999999999914679361*Y-
1.2188941887145875e-06*(Pb-0.5)+1.4019995886561440468*(Pr-0.5)));
*green=ClampToQuantum(QuantumRange*(0.99999975910502514331*Y-
0.34413567816504303521*(Pb-0.5)-0.71413649331646789076*(Pr-0.5)));
*blue=ClampToQuantum(QuantumRange*(1.00000124040004623180*Y+
1.77200006607230409200*(Pb-0.5)+2.1453384174593273e-06*(Pr-0.5)));
}
static void ConvertYCbCrToRGB(const double Y,const double Cb,
const double Cr,Quantum *red,Quantum *green,Quantum *blue)
{
ConvertYPbPrToRGB(Y,Cb,Cr,red,green,blue);
}
static void ConvertYDbDrToRGB(const double Y,const double Db,const double Dr,
Quantum *red,Quantum *green,Quantum *blue)
{
*red=ClampToQuantum(QuantumRange*(Y+9.2303716147657e-05*(Db-0.5)-
0.52591263066186533*(Dr-0.5)));
*green=ClampToQuantum(QuantumRange*(Y-0.12913289889050927*(Db-0.5)+
0.26789932820759876*(Dr-0.5)));
*blue=ClampToQuantum(QuantumRange*(Y+0.66467905997895482*(Db-0.5)-
7.9202543533108e-05*(Dr-0.5)));
}
static void ConvertYIQToRGB(const double Y,const double I,const double Q,
Quantum *red,Quantum *green,Quantum *blue)
{
*red=ClampToQuantum(QuantumRange*(Y+0.9562957197589482261*(I-0.5)+
0.6210244164652610754*(Q-0.5)));
*green=ClampToQuantum(QuantumRange*(Y-0.2721220993185104464*(I-0.5)-
0.6473805968256950427*(Q-0.5)));
*blue=ClampToQuantum(QuantumRange*(Y-1.1069890167364901945*(I-0.5)+
1.7046149983646481374*(Q-0.5)));
}
static void ConvertYUVToRGB(const double Y,const double U,const double V,
Quantum *red,Quantum *green,Quantum *blue)
{
*red=ClampToQuantum(QuantumRange*(Y-3.945707070708279e-05*(U-0.5)+
1.1398279671717170825*(V-0.5)));
*green=ClampToQuantum(QuantumRange*(Y-0.3946101641414141437*(U-0.5)-
0.5805003156565656797*(V-0.5)));
*blue=ClampToQuantum(QuantumRange*(Y+2.0319996843434342537*(U-0.5)-
4.813762626262513e-04*(V-0.5)));
}
MagickExport MagickBooleanType TransformRGBImage(Image *image,
const ColorspaceType colorspace)
{
#define TransformRGBImageTag "Transform/Image"
static const float
YCCMap[1389] =
{
0.000000, 0.000720f, 0.001441f, 0.002161f, 0.002882f, 0.003602f,
0.004323f, 0.005043f, 0.005764f, 0.006484f, 0.007205f, 0.007925f,
0.008646f, 0.009366f, 0.010086f, 0.010807f, 0.011527f, 0.012248f,
0.012968f, 0.013689f, 0.014409f, 0.015130f, 0.015850f, 0.016571f,
0.017291f, 0.018012f, 0.018732f, 0.019452f, 0.020173f, 0.020893f,
0.021614f, 0.022334f, 0.023055f, 0.023775f, 0.024496f, 0.025216f,
0.025937f, 0.026657f, 0.027378f, 0.028098f, 0.028818f, 0.029539f,
0.030259f, 0.030980f, 0.031700f, 0.032421f, 0.033141f, 0.033862f,
0.034582f, 0.035303f, 0.036023f, 0.036744f, 0.037464f, 0.038184f,
0.038905f, 0.039625f, 0.040346f, 0.041066f, 0.041787f, 0.042507f,
0.043228f, 0.043948f, 0.044669f, 0.045389f, 0.046110f, 0.046830f,
0.047550f, 0.048271f, 0.048991f, 0.049712f, 0.050432f, 0.051153f,
0.051873f, 0.052594f, 0.053314f, 0.054035f, 0.054755f, 0.055476f,
0.056196f, 0.056916f, 0.057637f, 0.058357f, 0.059078f, 0.059798f,
0.060519f, 0.061239f, 0.061960f, 0.062680f, 0.063401f, 0.064121f,
0.064842f, 0.065562f, 0.066282f, 0.067003f, 0.067723f, 0.068444f,
0.069164f, 0.069885f, 0.070605f, 0.071326f, 0.072046f, 0.072767f,
0.073487f, 0.074207f, 0.074928f, 0.075648f, 0.076369f, 0.077089f,
0.077810f, 0.078530f, 0.079251f, 0.079971f, 0.080692f, 0.081412f,
0.082133f, 0.082853f, 0.083573f, 0.084294f, 0.085014f, 0.085735f,
0.086455f, 0.087176f, 0.087896f, 0.088617f, 0.089337f, 0.090058f,
0.090778f, 0.091499f, 0.092219f, 0.092939f, 0.093660f, 0.094380f,
0.095101f, 0.095821f, 0.096542f, 0.097262f, 0.097983f, 0.098703f,
0.099424f, 0.100144f, 0.100865f, 0.101585f, 0.102305f, 0.103026f,
0.103746f, 0.104467f, 0.105187f, 0.105908f, 0.106628f, 0.107349f,
0.108069f, 0.108790f, 0.109510f, 0.110231f, 0.110951f, 0.111671f,
0.112392f, 0.113112f, 0.113833f, 0.114553f, 0.115274f, 0.115994f,
0.116715f, 0.117435f, 0.118156f, 0.118876f, 0.119597f, 0.120317f,
0.121037f, 0.121758f, 0.122478f, 0.123199f, 0.123919f, 0.124640f,
0.125360f, 0.126081f, 0.126801f, 0.127522f, 0.128242f, 0.128963f,
0.129683f, 0.130403f, 0.131124f, 0.131844f, 0.132565f, 0.133285f,
0.134006f, 0.134726f, 0.135447f, 0.136167f, 0.136888f, 0.137608f,
0.138329f, 0.139049f, 0.139769f, 0.140490f, 0.141210f, 0.141931f,
0.142651f, 0.143372f, 0.144092f, 0.144813f, 0.145533f, 0.146254f,
0.146974f, 0.147695f, 0.148415f, 0.149135f, 0.149856f, 0.150576f,
0.151297f, 0.152017f, 0.152738f, 0.153458f, 0.154179f, 0.154899f,
0.155620f, 0.156340f, 0.157061f, 0.157781f, 0.158501f, 0.159222f,
0.159942f, 0.160663f, 0.161383f, 0.162104f, 0.162824f, 0.163545f,
0.164265f, 0.164986f, 0.165706f, 0.166427f, 0.167147f, 0.167867f,
0.168588f, 0.169308f, 0.170029f, 0.170749f, 0.171470f, 0.172190f,
0.172911f, 0.173631f, 0.174352f, 0.175072f, 0.175793f, 0.176513f,
0.177233f, 0.177954f, 0.178674f, 0.179395f, 0.180115f, 0.180836f,
0.181556f, 0.182277f, 0.182997f, 0.183718f, 0.184438f, 0.185159f,
0.185879f, 0.186599f, 0.187320f, 0.188040f, 0.188761f, 0.189481f,
0.190202f, 0.190922f, 0.191643f, 0.192363f, 0.193084f, 0.193804f,
0.194524f, 0.195245f, 0.195965f, 0.196686f, 0.197406f, 0.198127f,
0.198847f, 0.199568f, 0.200288f, 0.201009f, 0.201729f, 0.202450f,
0.203170f, 0.203890f, 0.204611f, 0.205331f, 0.206052f, 0.206772f,
0.207493f, 0.208213f, 0.208934f, 0.209654f, 0.210375f, 0.211095f,
0.211816f, 0.212536f, 0.213256f, 0.213977f, 0.214697f, 0.215418f,
0.216138f, 0.216859f, 0.217579f, 0.218300f, 0.219020f, 0.219741f,
0.220461f, 0.221182f, 0.221902f, 0.222622f, 0.223343f, 0.224063f,
0.224784f, 0.225504f, 0.226225f, 0.226945f, 0.227666f, 0.228386f,
0.229107f, 0.229827f, 0.230548f, 0.231268f, 0.231988f, 0.232709f,
0.233429f, 0.234150f, 0.234870f, 0.235591f, 0.236311f, 0.237032f,
0.237752f, 0.238473f, 0.239193f, 0.239914f, 0.240634f, 0.241354f,
0.242075f, 0.242795f, 0.243516f, 0.244236f, 0.244957f, 0.245677f,
0.246398f, 0.247118f, 0.247839f, 0.248559f, 0.249280f, 0.250000f,
0.250720f, 0.251441f, 0.252161f, 0.252882f, 0.253602f, 0.254323f,
0.255043f, 0.255764f, 0.256484f, 0.257205f, 0.257925f, 0.258646f,
0.259366f, 0.260086f, 0.260807f, 0.261527f, 0.262248f, 0.262968f,
0.263689f, 0.264409f, 0.265130f, 0.265850f, 0.266571f, 0.267291f,
0.268012f, 0.268732f, 0.269452f, 0.270173f, 0.270893f, 0.271614f,
0.272334f, 0.273055f, 0.273775f, 0.274496f, 0.275216f, 0.275937f,
0.276657f, 0.277378f, 0.278098f, 0.278818f, 0.279539f, 0.280259f,
0.280980f, 0.281700f, 0.282421f, 0.283141f, 0.283862f, 0.284582f,
0.285303f, 0.286023f, 0.286744f, 0.287464f, 0.288184f, 0.288905f,
0.289625f, 0.290346f, 0.291066f, 0.291787f, 0.292507f, 0.293228f,
0.293948f, 0.294669f, 0.295389f, 0.296109f, 0.296830f, 0.297550f,
0.298271f, 0.298991f, 0.299712f, 0.300432f, 0.301153f, 0.301873f,
0.302594f, 0.303314f, 0.304035f, 0.304755f, 0.305476f, 0.306196f,
0.306916f, 0.307637f, 0.308357f, 0.309078f, 0.309798f, 0.310519f,
0.311239f, 0.311960f, 0.312680f, 0.313401f, 0.314121f, 0.314842f,
0.315562f, 0.316282f, 0.317003f, 0.317723f, 0.318444f, 0.319164f,
0.319885f, 0.320605f, 0.321326f, 0.322046f, 0.322767f, 0.323487f,
0.324207f, 0.324928f, 0.325648f, 0.326369f, 0.327089f, 0.327810f,
0.328530f, 0.329251f, 0.329971f, 0.330692f, 0.331412f, 0.332133f,
0.332853f, 0.333573f, 0.334294f, 0.335014f, 0.335735f, 0.336455f,
0.337176f, 0.337896f, 0.338617f, 0.339337f, 0.340058f, 0.340778f,
0.341499f, 0.342219f, 0.342939f, 0.343660f, 0.344380f, 0.345101f,
0.345821f, 0.346542f, 0.347262f, 0.347983f, 0.348703f, 0.349424f,
0.350144f, 0.350865f, 0.351585f, 0.352305f, 0.353026f, 0.353746f,
0.354467f, 0.355187f, 0.355908f, 0.356628f, 0.357349f, 0.358069f,
0.358790f, 0.359510f, 0.360231f, 0.360951f, 0.361671f, 0.362392f,
0.363112f, 0.363833f, 0.364553f, 0.365274f, 0.365994f, 0.366715f,
0.367435f, 0.368156f, 0.368876f, 0.369597f, 0.370317f, 0.371037f,
0.371758f, 0.372478f, 0.373199f, 0.373919f, 0.374640f, 0.375360f,
0.376081f, 0.376801f, 0.377522f, 0.378242f, 0.378963f, 0.379683f,
0.380403f, 0.381124f, 0.381844f, 0.382565f, 0.383285f, 0.384006f,
0.384726f, 0.385447f, 0.386167f, 0.386888f, 0.387608f, 0.388329f,
0.389049f, 0.389769f, 0.390490f, 0.391210f, 0.391931f, 0.392651f,
0.393372f, 0.394092f, 0.394813f, 0.395533f, 0.396254f, 0.396974f,
0.397695f, 0.398415f, 0.399135f, 0.399856f, 0.400576f, 0.401297f,
0.402017f, 0.402738f, 0.403458f, 0.404179f, 0.404899f, 0.405620f,
0.406340f, 0.407061f, 0.407781f, 0.408501f, 0.409222f, 0.409942f,
0.410663f, 0.411383f, 0.412104f, 0.412824f, 0.413545f, 0.414265f,
0.414986f, 0.415706f, 0.416427f, 0.417147f, 0.417867f, 0.418588f,
0.419308f, 0.420029f, 0.420749f, 0.421470f, 0.422190f, 0.422911f,
0.423631f, 0.424352f, 0.425072f, 0.425793f, 0.426513f, 0.427233f,
0.427954f, 0.428674f, 0.429395f, 0.430115f, 0.430836f, 0.431556f,
0.432277f, 0.432997f, 0.433718f, 0.434438f, 0.435158f, 0.435879f,
0.436599f, 0.437320f, 0.438040f, 0.438761f, 0.439481f, 0.440202f,
0.440922f, 0.441643f, 0.442363f, 0.443084f, 0.443804f, 0.444524f,
0.445245f, 0.445965f, 0.446686f, 0.447406f, 0.448127f, 0.448847f,
0.449568f, 0.450288f, 0.451009f, 0.451729f, 0.452450f, 0.453170f,
0.453891f, 0.454611f, 0.455331f, 0.456052f, 0.456772f, 0.457493f,
0.458213f, 0.458934f, 0.459654f, 0.460375f, 0.461095f, 0.461816f,
0.462536f, 0.463256f, 0.463977f, 0.464697f, 0.465418f, 0.466138f,
0.466859f, 0.467579f, 0.468300f, 0.469020f, 0.469741f, 0.470461f,
0.471182f, 0.471902f, 0.472622f, 0.473343f, 0.474063f, 0.474784f,
0.475504f, 0.476225f, 0.476945f, 0.477666f, 0.478386f, 0.479107f,
0.479827f, 0.480548f, 0.481268f, 0.481988f, 0.482709f, 0.483429f,
0.484150f, 0.484870f, 0.485591f, 0.486311f, 0.487032f, 0.487752f,
0.488473f, 0.489193f, 0.489914f, 0.490634f, 0.491354f, 0.492075f,
0.492795f, 0.493516f, 0.494236f, 0.494957f, 0.495677f, 0.496398f,
0.497118f, 0.497839f, 0.498559f, 0.499280f, 0.500000f, 0.500720f,
0.501441f, 0.502161f, 0.502882f, 0.503602f, 0.504323f, 0.505043f,
0.505764f, 0.506484f, 0.507205f, 0.507925f, 0.508646f, 0.509366f,
0.510086f, 0.510807f, 0.511527f, 0.512248f, 0.512968f, 0.513689f,
0.514409f, 0.515130f, 0.515850f, 0.516571f, 0.517291f, 0.518012f,
0.518732f, 0.519452f, 0.520173f, 0.520893f, 0.521614f, 0.522334f,
0.523055f, 0.523775f, 0.524496f, 0.525216f, 0.525937f, 0.526657f,
0.527378f, 0.528098f, 0.528818f, 0.529539f, 0.530259f, 0.530980f,
0.531700f, 0.532421f, 0.533141f, 0.533862f, 0.534582f, 0.535303f,
0.536023f, 0.536744f, 0.537464f, 0.538184f, 0.538905f, 0.539625f,
0.540346f, 0.541066f, 0.541787f, 0.542507f, 0.543228f, 0.543948f,
0.544669f, 0.545389f, 0.546109f, 0.546830f, 0.547550f, 0.548271f,
0.548991f, 0.549712f, 0.550432f, 0.551153f, 0.551873f, 0.552594f,
0.553314f, 0.554035f, 0.554755f, 0.555476f, 0.556196f, 0.556916f,
0.557637f, 0.558357f, 0.559078f, 0.559798f, 0.560519f, 0.561239f,
0.561960f, 0.562680f, 0.563401f, 0.564121f, 0.564842f, 0.565562f,
0.566282f, 0.567003f, 0.567723f, 0.568444f, 0.569164f, 0.569885f,
0.570605f, 0.571326f, 0.572046f, 0.572767f, 0.573487f, 0.574207f,
0.574928f, 0.575648f, 0.576369f, 0.577089f, 0.577810f, 0.578530f,
0.579251f, 0.579971f, 0.580692f, 0.581412f, 0.582133f, 0.582853f,
0.583573f, 0.584294f, 0.585014f, 0.585735f, 0.586455f, 0.587176f,
0.587896f, 0.588617f, 0.589337f, 0.590058f, 0.590778f, 0.591499f,
0.592219f, 0.592939f, 0.593660f, 0.594380f, 0.595101f, 0.595821f,
0.596542f, 0.597262f, 0.597983f, 0.598703f, 0.599424f, 0.600144f,
0.600865f, 0.601585f, 0.602305f, 0.603026f, 0.603746f, 0.604467f,
0.605187f, 0.605908f, 0.606628f, 0.607349f, 0.608069f, 0.608790f,
0.609510f, 0.610231f, 0.610951f, 0.611671f, 0.612392f, 0.613112f,
0.613833f, 0.614553f, 0.615274f, 0.615994f, 0.616715f, 0.617435f,
0.618156f, 0.618876f, 0.619597f, 0.620317f, 0.621037f, 0.621758f,
0.622478f, 0.623199f, 0.623919f, 0.624640f, 0.625360f, 0.626081f,
0.626801f, 0.627522f, 0.628242f, 0.628963f, 0.629683f, 0.630403f,
0.631124f, 0.631844f, 0.632565f, 0.633285f, 0.634006f, 0.634726f,
0.635447f, 0.636167f, 0.636888f, 0.637608f, 0.638329f, 0.639049f,
0.639769f, 0.640490f, 0.641210f, 0.641931f, 0.642651f, 0.643372f,
0.644092f, 0.644813f, 0.645533f, 0.646254f, 0.646974f, 0.647695f,
0.648415f, 0.649135f, 0.649856f, 0.650576f, 0.651297f, 0.652017f,
0.652738f, 0.653458f, 0.654179f, 0.654899f, 0.655620f, 0.656340f,
0.657061f, 0.657781f, 0.658501f, 0.659222f, 0.659942f, 0.660663f,
0.661383f, 0.662104f, 0.662824f, 0.663545f, 0.664265f, 0.664986f,
0.665706f, 0.666427f, 0.667147f, 0.667867f, 0.668588f, 0.669308f,
0.670029f, 0.670749f, 0.671470f, 0.672190f, 0.672911f, 0.673631f,
0.674352f, 0.675072f, 0.675793f, 0.676513f, 0.677233f, 0.677954f,
0.678674f, 0.679395f, 0.680115f, 0.680836f, 0.681556f, 0.682277f,
0.682997f, 0.683718f, 0.684438f, 0.685158f, 0.685879f, 0.686599f,
0.687320f, 0.688040f, 0.688761f, 0.689481f, 0.690202f, 0.690922f,
0.691643f, 0.692363f, 0.693084f, 0.693804f, 0.694524f, 0.695245f,
0.695965f, 0.696686f, 0.697406f, 0.698127f, 0.698847f, 0.699568f,
0.700288f, 0.701009f, 0.701729f, 0.702450f, 0.703170f, 0.703891f,
0.704611f, 0.705331f, 0.706052f, 0.706772f, 0.707493f, 0.708213f,
0.708934f, 0.709654f, 0.710375f, 0.711095f, 0.711816f, 0.712536f,
0.713256f, 0.713977f, 0.714697f, 0.715418f, 0.716138f, 0.716859f,
0.717579f, 0.718300f, 0.719020f, 0.719741f, 0.720461f, 0.721182f,
0.721902f, 0.722622f, 0.723343f, 0.724063f, 0.724784f, 0.725504f,
0.726225f, 0.726945f, 0.727666f, 0.728386f, 0.729107f, 0.729827f,
0.730548f, 0.731268f, 0.731988f, 0.732709f, 0.733429f, 0.734150f,
0.734870f, 0.735591f, 0.736311f, 0.737032f, 0.737752f, 0.738473f,
0.739193f, 0.739914f, 0.740634f, 0.741354f, 0.742075f, 0.742795f,
0.743516f, 0.744236f, 0.744957f, 0.745677f, 0.746398f, 0.747118f,
0.747839f, 0.748559f, 0.749280f, 0.750000f, 0.750720f, 0.751441f,
0.752161f, 0.752882f, 0.753602f, 0.754323f, 0.755043f, 0.755764f,
0.756484f, 0.757205f, 0.757925f, 0.758646f, 0.759366f, 0.760086f,
0.760807f, 0.761527f, 0.762248f, 0.762968f, 0.763689f, 0.764409f,
0.765130f, 0.765850f, 0.766571f, 0.767291f, 0.768012f, 0.768732f,
0.769452f, 0.770173f, 0.770893f, 0.771614f, 0.772334f, 0.773055f,
0.773775f, 0.774496f, 0.775216f, 0.775937f, 0.776657f, 0.777378f,
0.778098f, 0.778818f, 0.779539f, 0.780259f, 0.780980f, 0.781700f,
0.782421f, 0.783141f, 0.783862f, 0.784582f, 0.785303f, 0.786023f,
0.786744f, 0.787464f, 0.788184f, 0.788905f, 0.789625f, 0.790346f,
0.791066f, 0.791787f, 0.792507f, 0.793228f, 0.793948f, 0.794669f,
0.795389f, 0.796109f, 0.796830f, 0.797550f, 0.798271f, 0.798991f,
0.799712f, 0.800432f, 0.801153f, 0.801873f, 0.802594f, 0.803314f,
0.804035f, 0.804755f, 0.805476f, 0.806196f, 0.806916f, 0.807637f,
0.808357f, 0.809078f, 0.809798f, 0.810519f, 0.811239f, 0.811960f,
0.812680f, 0.813401f, 0.814121f, 0.814842f, 0.815562f, 0.816282f,
0.817003f, 0.817723f, 0.818444f, 0.819164f, 0.819885f, 0.820605f,
0.821326f, 0.822046f, 0.822767f, 0.823487f, 0.824207f, 0.824928f,
0.825648f, 0.826369f, 0.827089f, 0.827810f, 0.828530f, 0.829251f,
0.829971f, 0.830692f, 0.831412f, 0.832133f, 0.832853f, 0.833573f,
0.834294f, 0.835014f, 0.835735f, 0.836455f, 0.837176f, 0.837896f,
0.838617f, 0.839337f, 0.840058f, 0.840778f, 0.841499f, 0.842219f,
0.842939f, 0.843660f, 0.844380f, 0.845101f, 0.845821f, 0.846542f,
0.847262f, 0.847983f, 0.848703f, 0.849424f, 0.850144f, 0.850865f,
0.851585f, 0.852305f, 0.853026f, 0.853746f, 0.854467f, 0.855187f,
0.855908f, 0.856628f, 0.857349f, 0.858069f, 0.858790f, 0.859510f,
0.860231f, 0.860951f, 0.861671f, 0.862392f, 0.863112f, 0.863833f,
0.864553f, 0.865274f, 0.865994f, 0.866715f, 0.867435f, 0.868156f,
0.868876f, 0.869597f, 0.870317f, 0.871037f, 0.871758f, 0.872478f,
0.873199f, 0.873919f, 0.874640f, 0.875360f, 0.876081f, 0.876801f,
0.877522f, 0.878242f, 0.878963f, 0.879683f, 0.880403f, 0.881124f,
0.881844f, 0.882565f, 0.883285f, 0.884006f, 0.884726f, 0.885447f,
0.886167f, 0.886888f, 0.887608f, 0.888329f, 0.889049f, 0.889769f,
0.890490f, 0.891210f, 0.891931f, 0.892651f, 0.893372f, 0.894092f,
0.894813f, 0.895533f, 0.896254f, 0.896974f, 0.897695f, 0.898415f,
0.899135f, 0.899856f, 0.900576f, 0.901297f, 0.902017f, 0.902738f,
0.903458f, 0.904179f, 0.904899f, 0.905620f, 0.906340f, 0.907061f,
0.907781f, 0.908501f, 0.909222f, 0.909942f, 0.910663f, 0.911383f,
0.912104f, 0.912824f, 0.913545f, 0.914265f, 0.914986f, 0.915706f,
0.916427f, 0.917147f, 0.917867f, 0.918588f, 0.919308f, 0.920029f,
0.920749f, 0.921470f, 0.922190f, 0.922911f, 0.923631f, 0.924352f,
0.925072f, 0.925793f, 0.926513f, 0.927233f, 0.927954f, 0.928674f,
0.929395f, 0.930115f, 0.930836f, 0.931556f, 0.932277f, 0.932997f,
0.933718f, 0.934438f, 0.935158f, 0.935879f, 0.936599f, 0.937320f,
0.938040f, 0.938761f, 0.939481f, 0.940202f, 0.940922f, 0.941643f,
0.942363f, 0.943084f, 0.943804f, 0.944524f, 0.945245f, 0.945965f,
0.946686f, 0.947406f, 0.948127f, 0.948847f, 0.949568f, 0.950288f,
0.951009f, 0.951729f, 0.952450f, 0.953170f, 0.953891f, 0.954611f,
0.955331f, 0.956052f, 0.956772f, 0.957493f, 0.958213f, 0.958934f,
0.959654f, 0.960375f, 0.961095f, 0.961816f, 0.962536f, 0.963256f,
0.963977f, 0.964697f, 0.965418f, 0.966138f, 0.966859f, 0.967579f,
0.968300f, 0.969020f, 0.969741f, 0.970461f, 0.971182f, 0.971902f,
0.972622f, 0.973343f, 0.974063f, 0.974784f, 0.975504f, 0.976225f,
0.976945f, 0.977666f, 0.978386f, 0.979107f, 0.979827f, 0.980548f,
0.981268f, 0.981988f, 0.982709f, 0.983429f, 0.984150f, 0.984870f,
0.985591f, 0.986311f, 0.987032f, 0.987752f, 0.988473f, 0.989193f,
0.989914f, 0.990634f, 0.991354f, 0.992075f, 0.992795f, 0.993516f,
0.994236f, 0.994957f, 0.995677f, 0.996398f, 0.997118f, 0.997839f,
0.998559f, 0.999280f, 1.000000
};
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
TransformPacket
*y_map,
*x_map,
*z_map;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=MagickTrue;
progress=0;
exception=(&image->exception);
switch (colorspace)
{
case CMYKColorspace:
{
MagickPixelPacket
zero;
/*
Transform image from CMYK to sRGB.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
GetMagickPixelPacket(image,&zero);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel;
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,q,indexes+x,&pixel);
ConvertCMYKToRGB(&pixel);
SetPixelPacket(image,&pixel,q,indexes+x);
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case LinearGRAYColorspace:
case Rec601LumaColorspace:
{
/*
Transform linear RGB to sRGB colorspace.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=(ssize_t) image->columns; x != 0; x--)
{
MagickRealType
gray;
gray=0.212656*GetPixelRed(q)+0.715158*GetPixelGreen(q)+
0.072186*GetPixelBlue(q);
gray=EncodePixelGamma(gray);
SetPixelRed(q,ClampToQuantum(gray));
SetPixelGreen(q,ClampToQuantum(gray));
SetPixelBlue(q,ClampToQuantum(gray));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case GRAYColorspace:
case Rec709LumaColorspace:
{
/*
Transform linear RGB to sRGB colorspace.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=(ssize_t) image->columns; x != 0; x--)
{
MagickRealType
gray;
gray=0.212656*GetPixelRed(q)+0.715158*GetPixelGreen(q)+
0.072186*GetPixelBlue(q);
SetPixelRed(q,ClampToQuantum(gray));
SetPixelGreen(q,ClampToQuantum(gray));
SetPixelBlue(q,ClampToQuantum(gray));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case CMYColorspace:
case HCLColorspace:
case HCLpColorspace:
case HSBColorspace:
case HSIColorspace:
case HSLColorspace:
case HSVColorspace:
case HWBColorspace:
case LabColorspace:
case LCHColorspace:
case LCHabColorspace:
case LCHuvColorspace:
case LMSColorspace:
case LuvColorspace:
case xyYColorspace:
case XYZColorspace:
case YCbCrColorspace:
case YDbDrColorspace:
case YIQColorspace:
case YPbPrColorspace:
case YUVColorspace:
{
/*
Transform image from source colorspace to sRGB.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
X,
Y,
Z;
Quantum
blue,
green,
red;
X=QuantumScale*GetPixelRed(q);
Y=QuantumScale*GetPixelGreen(q);
Z=QuantumScale*GetPixelBlue(q);
switch (colorspace)
{
case CMYColorspace:
{
ConvertCMYToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case HCLColorspace:
{
ConvertHCLToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case HCLpColorspace:
{
ConvertHCLpToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case HSBColorspace:
{
ConvertHSBToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case HSIColorspace:
{
ConvertHSIToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case HSLColorspace:
{
ConvertHSLToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case HSVColorspace:
{
ConvertHSVToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case HWBColorspace:
{
ConvertHWBToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case LabColorspace:
{
ConvertLabToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case LCHColorspace:
case LCHabColorspace:
{
ConvertLCHabToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case LCHuvColorspace:
{
ConvertLCHuvToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case LMSColorspace:
{
ConvertLMSToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case LuvColorspace:
{
ConvertLuvToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case xyYColorspace:
{
ConvertxyYToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case XYZColorspace:
{
ConvertXYZToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case YCbCrColorspace:
{
ConvertYCbCrToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case YDbDrColorspace:
{
ConvertYDbDrToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case YIQColorspace:
{
ConvertYIQToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case YPbPrColorspace:
{
ConvertYPbPrToRGB(X,Y,Z,&red,&green,&blue);
break;
}
case YUVColorspace:
{
ConvertYUVToRGB(X,Y,Z,&red,&green,&blue);
break;
}
default:
{
red=ClampToQuantum(QuantumRange*X);
green=ClampToQuantum(QuantumRange*Y);
blue=ClampToQuantum(QuantumRange*Z);
break;
}
}
SetPixelRed(q,ClampToQuantum((MagickRealType) red));
SetPixelGreen(q,ClampToQuantum((MagickRealType) green));
SetPixelBlue(q,ClampToQuantum((MagickRealType) blue));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case LogColorspace:
{
const char
*value;
double
black,
density,
film_gamma,
gamma,
reference_black,
reference_white;
Quantum
*logmap;
/*
Transform Log to sRGB colorspace.
*/
density=DisplayGamma;
gamma=DisplayGamma;
value=GetImageProperty(image,"gamma");
if (value != (const char *) NULL)
gamma=PerceptibleReciprocal(StringToDouble(value,(char **) NULL));
film_gamma=FilmGamma;
value=GetImageProperty(image,"film-gamma");
if (value != (const char *) NULL)
film_gamma=StringToDouble(value,(char **) NULL);
reference_black=ReferenceBlack;
value=GetImageProperty(image,"reference-black");
if (value != (const char *) NULL)
reference_black=StringToDouble(value,(char **) NULL);
reference_white=ReferenceWhite;
value=GetImageProperty(image,"reference-white");
if (value != (const char *) NULL)
reference_white=StringToDouble(value,(char **) NULL);
logmap=(Quantum *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*logmap));
if (logmap == (Quantum *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
black=pow(10.0,(reference_black-reference_white)*(gamma/density)*0.002/
film_gamma);
for (i=0; i <= (ssize_t) (reference_black*MaxMap/1024.0); i++)
logmap[i]=(Quantum) 0;
for ( ; i < (ssize_t) (reference_white*MaxMap/1024.0); i++)
logmap[i]=ClampToQuantum((MagickRealType) QuantumRange/(1.0-black)*
(pow(10.0,(1024.0*i/MaxMap-reference_white)*(gamma/density)*0.002/
film_gamma)-black));
for ( ; i <= (ssize_t) MaxMap; i++)
logmap[i]=QuantumRange;
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=(ssize_t) image->columns; x != 0; x--)
{
Quantum
blue,
green,
red;
red=ClampToQuantum(EncodePixelGamma((MagickRealType)
logmap[ScaleQuantumToMap(GetPixelRed(q))]));
green=ClampToQuantum(EncodePixelGamma((MagickRealType)
logmap[ScaleQuantumToMap(GetPixelGreen(q))]));
blue=ClampToQuantum(EncodePixelGamma((MagickRealType)
logmap[ScaleQuantumToMap(GetPixelBlue(q))]));
SetPixelRed(q,red);
SetPixelGreen(q,green);
SetPixelBlue(q,blue);
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
logmap=(Quantum *) RelinquishMagickMemory(logmap);
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
case RGBColorspace:
case scRGBColorspace:
{
/*
Transform linear RGB to sRGB colorspace.
*/
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=(ssize_t) image->columns; x != 0; x--)
{
Quantum
blue,
green,
red;
red=ClampToQuantum(EncodePixelGamma((MagickRealType) GetPixelRed(q)));
green=ClampToQuantum(EncodePixelGamma((MagickRealType)
GetPixelGreen(q)));
blue=ClampToQuantum(EncodePixelGamma((MagickRealType)
GetPixelBlue(q)));
SetPixelRed(q,red);
SetPixelGreen(q,green);
SetPixelBlue(q,blue);
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
return(status);
}
default:
break;
}
/*
Allocate the tables.
*/
x_map=(TransformPacket *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*x_map));
y_map=(TransformPacket *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*y_map));
z_map=(TransformPacket *) AcquireQuantumMemory((size_t) MaxMap+1UL,
sizeof(*z_map));
if ((x_map == (TransformPacket *) NULL) ||
(y_map == (TransformPacket *) NULL) ||
(z_map == (TransformPacket *) NULL))
{
if (z_map != (TransformPacket *) NULL)
z_map=(TransformPacket *) RelinquishMagickMemory(z_map);
if (y_map != (TransformPacket *) NULL)
y_map=(TransformPacket *) RelinquishMagickMemory(y_map);
if (x_map != (TransformPacket *) NULL)
x_map=(TransformPacket *) RelinquishMagickMemory(x_map);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
switch (colorspace)
{
case OHTAColorspace:
{
/*
Initialize OHTA tables:
R = I1+1.00000*I2-0.66668*I3
G = I1+0.00000*I2+1.33333*I3
B = I1-1.00000*I2-0.66668*I3
I and Q, normally -0.5 through 0.5, must be normalized to the range 0
through QuantumRange.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(1.0*(double) i);
y_map[i].x=(0.5*1.00000*(2.0*(double) i-MaxMap));
z_map[i].x=(-0.5*0.66668*(2.0*(double) i-MaxMap));
x_map[i].y=(1.0*(double) i);
y_map[i].y=(0.5*0.00000*(2.0*(double) i-MaxMap));
z_map[i].y=(0.5*1.33333*(2.0*(double) i-MaxMap));
x_map[i].z=(1.0*(double) i);
y_map[i].z=(-0.5*1.00000*(2.0*(double) i-MaxMap));
z_map[i].z=(-0.5*0.66668*(2.0*(double) i-MaxMap));
}
break;
}
case Rec601YCbCrColorspace:
{
/*
Initialize YCbCr tables:
R = Y +1.402000*Cr
G = Y-0.344136*Cb-0.714136*Cr
B = Y+1.772000*Cb
Cb and Cr, normally -0.5 through 0.5, must be normalized to the range 0
through QuantumRange.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=0.99999999999914679361*(double) i;
y_map[i].x=0.5*(-1.2188941887145875e-06)*(2.00*(double) i-MaxMap);
z_map[i].x=0.5*1.4019995886561440468*(2.00*(double) i-MaxMap);
x_map[i].y=0.99999975910502514331*(double) i;
y_map[i].y=0.5*(-0.34413567816504303521)*(2.00*(double) i-MaxMap);
z_map[i].y=0.5*(-0.71413649331646789076)*(2.00*(double) i-MaxMap);
x_map[i].z=1.00000124040004623180*(double) i;
y_map[i].z=0.5*1.77200006607230409200*(2.00*(double) i-MaxMap);
z_map[i].z=0.5*2.1453384174593273e-06*(2.00*(double) i-MaxMap);
}
break;
}
case Rec709YCbCrColorspace:
{
/*
Initialize YCbCr tables:
R = Y +1.574800*Cr
G = Y-0.187324*Cb-0.468124*Cr
B = Y+1.855600*Cb
Cb and Cr, normally -0.5 through 0.5, must be normalized to the range 0
through QuantumRange.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (1.0*(double) i);
y_map[i].x=(MagickRealType) (0.5*0.000000*(2.0*(double) i-MaxMap));
z_map[i].x=(MagickRealType) (0.5*1.574800*(2.0*(double) i-MaxMap));
x_map[i].y=(MagickRealType) (1.0*(double) i);
y_map[i].y=(MagickRealType) (0.5*(-0.187324)*(2.0*(double) i-MaxMap));
z_map[i].y=(MagickRealType) (0.5*(-0.468124)*(2.0*(double) i-MaxMap));
x_map[i].z=(MagickRealType) (1.0*(double) i);
y_map[i].z=(MagickRealType) (0.5*1.855600*(2.0*(double) i-MaxMap));
z_map[i].z=(MagickRealType) (0.5*0.000000*(2.0*(double) i-MaxMap));
}
break;
}
case YCCColorspace:
{
/*
Initialize YCC tables:
R = Y +1.340762*C2
G = Y-0.317038*C1-0.682243*C2
B = Y+1.632639*C1
YCC is scaled by 1.3584. C1 zero is 156 and C2 is at 137.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (1.3584000*(double) i);
y_map[i].x=(MagickRealType) (0.0000000);
z_map[i].x=(MagickRealType) (1.8215000*((double) i-(MagickRealType)
ScaleQuantumToMap(ScaleCharToQuantum(137))));
x_map[i].y=(MagickRealType) (1.3584000*(double) i);
y_map[i].y=(MagickRealType) ((-0.4302726)*((double) i-(MagickRealType)
ScaleQuantumToMap(ScaleCharToQuantum(156))));
z_map[i].y=(MagickRealType) ((-0.9271435)*((double) i-(MagickRealType)
ScaleQuantumToMap(ScaleCharToQuantum(137))));
x_map[i].z=(MagickRealType) (1.3584000*(double) i);
y_map[i].z=(MagickRealType) (2.2179000*((double) i-(MagickRealType)
ScaleQuantumToMap(ScaleCharToQuantum(156))));
z_map[i].z=(MagickRealType) (0.0000000);
}
break;
}
default:
{
/*
Linear conversion tables.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (i=0; i <= (ssize_t) MaxMap; i++)
{
x_map[i].x=(MagickRealType) (1.0*(double) i);
y_map[i].x=(MagickRealType) 0.0;
z_map[i].x=(MagickRealType) 0.0;
x_map[i].y=(MagickRealType) 0.0;
y_map[i].y=(MagickRealType) (1.0*(double) i);
z_map[i].y=(MagickRealType) 0.0;
x_map[i].z=(MagickRealType) 0.0;
y_map[i].z=(MagickRealType) 0.0;
z_map[i].z=(MagickRealType) (1.0*(double) i);
}
break;
}
}
/*
Convert to sRGB.
*/
switch (image->storage_class)
{
case DirectClass:
default:
{
/*
Convert DirectClass image.
*/
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register size_t
blue,
green,
red;
red=ScaleQuantumToMap(GetPixelRed(q));
green=ScaleQuantumToMap(GetPixelGreen(q));
blue=ScaleQuantumToMap(GetPixelBlue(q));
pixel.red=x_map[red].x+y_map[green].x+z_map[blue].x;
pixel.green=x_map[red].y+y_map[green].y+z_map[blue].y;
pixel.blue=x_map[red].z+y_map[green].z+z_map[blue].z;
if (colorspace == YCCColorspace)
{
pixel.red=QuantumRange*YCCMap[RoundToYCC(1024.0*pixel.red/
(double) MaxMap)];
pixel.green=QuantumRange*YCCMap[RoundToYCC(1024.0*pixel.green/
(double) MaxMap)];
pixel.blue=QuantumRange*YCCMap[RoundToYCC(1024.0*pixel.blue/
(double) MaxMap)];
}
else
{
pixel.red=(MagickRealType) ScaleMapToQuantum(pixel.red);
pixel.green=(MagickRealType) ScaleMapToQuantum(pixel.green);
pixel.blue=(MagickRealType) ScaleMapToQuantum(pixel.blue);
}
SetPixelRed(q,ClampToQuantum(pixel.red));
SetPixelGreen(q,ClampToQuantum(pixel.green));
SetPixelBlue(q,ClampToQuantum(pixel.blue));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,TransformRGBImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
break;
}
case PseudoClass:
{
/*
Convert PseudoClass image.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->colors,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
MagickPixelPacket
pixel;
register size_t
blue,
green,
red;
red=ScaleQuantumToMap(image->colormap[i].red);
green=ScaleQuantumToMap(image->colormap[i].green);
blue=ScaleQuantumToMap(image->colormap[i].blue);
pixel.red=x_map[red].x+y_map[green].x+z_map[blue].x;
pixel.green=x_map[red].y+y_map[green].y+z_map[blue].y;
pixel.blue=x_map[red].z+y_map[green].z+z_map[blue].z;
if (colorspace == YCCColorspace)
{
pixel.red=QuantumRange*YCCMap[RoundToYCC(1024.0*pixel.red/
(double) MaxMap)];
pixel.green=QuantumRange*YCCMap[RoundToYCC(1024.0*pixel.green/
(double) MaxMap)];
pixel.blue=QuantumRange*YCCMap[RoundToYCC(1024.0*pixel.blue/
(double) MaxMap)];
}
else
{
pixel.red=(MagickRealType) ScaleMapToQuantum(pixel.red);
pixel.green=(MagickRealType) ScaleMapToQuantum(pixel.green);
pixel.blue=(MagickRealType) ScaleMapToQuantum(pixel.blue);
}
image->colormap[i].red=ClampToQuantum(pixel.red);
image->colormap[i].green=ClampToQuantum(pixel.green);
image->colormap[i].blue=ClampToQuantum(pixel.blue);
}
(void) SyncImage(image);
break;
}
}
/*
Relinquish resources.
*/
z_map=(TransformPacket *) RelinquishMagickMemory(z_map);
y_map=(TransformPacket *) RelinquishMagickMemory(y_map);
x_map=(TransformPacket *) RelinquishMagickMemory(x_map);
if (SetImageColorspace(image,sRGBColorspace) == MagickFalse)
return(MagickFalse);
return(MagickTrue);
}
|
GB_binop__div_int8.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__div_int8)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__div_int8)
// A.*B function (eWiseMult): GB (_AemultB_03__div_int8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__div_int8)
// A*D function (colscale): GB (_AxD__div_int8)
// D*A function (rowscale): GB (_DxB__div_int8)
// C+=B function (dense accum): GB (_Cdense_accumB__div_int8)
// C+=b function (dense accum): GB (_Cdense_accumb__div_int8)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__div_int8)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__div_int8)
// C=scalar+B GB (_bind1st__div_int8)
// C=scalar+B' GB (_bind1st_tran__div_int8)
// C=A+scalar GB (_bind2nd__div_int8)
// C=A'+scalar GB (_bind2nd_tran__div_int8)
// C type: int8_t
// A type: int8_t
// B,b type: int8_t
// BinaryOp: cij = GB_IDIV_SIGNED (aij, bij, 8)
#define GB_ATYPE \
int8_t
#define GB_BTYPE \
int8_t
#define GB_CTYPE \
int8_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int8_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int8_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = GB_IDIV_SIGNED (x, y, 8) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_DIV || GxB_NO_INT8 || GxB_NO_DIV_INT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__div_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__div_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__div_int8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__div_int8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int8_t
int8_t bwork = (*((int8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__div_int8)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__div_int8)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *restrict Cx = (int8_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__div_int8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__div_int8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__div_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__div_int8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__div_int8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__div_int8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t *Cx = (int8_t *) Cx_output ;
int8_t x = (*((int8_t *) x_input)) ;
int8_t *Bx = (int8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int8_t bij = Bx [p] ;
Cx [p] = GB_IDIV_SIGNED (x, bij, 8) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__div_int8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int8_t *Cx = (int8_t *) Cx_output ;
int8_t *Ax = (int8_t *) Ax_input ;
int8_t y = (*((int8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int8_t aij = Ax [p] ;
Cx [p] = GB_IDIV_SIGNED (aij, y, 8) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int8_t aij = Ax [pA] ; \
Cx [pC] = GB_IDIV_SIGNED (x, aij, 8) ; \
}
GrB_Info GB (_bind1st_tran__div_int8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t x = (*((const int8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int8_t aij = Ax [pA] ; \
Cx [pC] = GB_IDIV_SIGNED (aij, y, 8) ; \
}
GrB_Info GB (_bind2nd_tran__div_int8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t y = (*((const int8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_unaryop__identity_int32_int64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__identity_int32_int64
// op(A') function: GB_tran__identity_int32_int64
// C type: int32_t
// A type: int64_t
// cast: int32_t cij = (int32_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
int32_t z = (int32_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT32 || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_int32_int64
(
int32_t *restrict Cx,
const int64_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_int32_int64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_unaryop__ainv_uint16_int32.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__ainv_uint16_int32
// op(A') function: GB_tran__ainv_uint16_int32
// C type: uint16_t
// A type: int32_t
// cast: uint16_t cij = (uint16_t) aij
// unaryop: cij = -aij
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = -x ;
// casting
#define GB_CASTING(z, x) \
uint16_t z = (uint16_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_AINV || GxB_NO_UINT16 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_uint16_int32
(
uint16_t *restrict Cx,
const int32_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__ainv_uint16_int32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
cluster.c | #include "cluster.h"
#include "rt/rt_api.h"
#include "rt/rt_omp.h"
void cluster_entry(void *arg)
{
// OpenMP runtime is not available by default and must be started
rt_omp_start();
printf("(%d, %d) Enter cluster entry\n", rt_cluster_id(), rt_core_id());
#pragma omp parallel
{
printf("(%d, %d) Enter parallel section\n", rt_cluster_id(), rt_core_id());
}
#pragma omp parallel for schedule(static)
for(int i =0; i<32;i++)
{
printf("(%d, %d) Enter for iteration (iter=%d)\n", rt_cluster_id(), rt_core_id(), i);
}
#pragma omp parallel
{
// Do some dummy computation to see the barrier effect
volatile int i;
for (i=0; i<omp_get_thread_num()*100; i++);
#pragma omp barrier
}
int var = 0;
#pragma omp parallel shared(var)
{
for (int i=0; i<100; i++)
{
#pragma omp critical
var++;
}
}
printf("Var is %d\n", var);
rt_omp_stop();
}
|
GB_binop__bget_uint16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__bget_uint16)
// A.*B function (eWiseMult): GB (_AemultB_01__bget_uint16)
// A.*B function (eWiseMult): GB (_AemultB_02__bget_uint16)
// A.*B function (eWiseMult): GB (_AemultB_03__bget_uint16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__bget_uint16)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__bget_uint16)
// C+=b function (dense accum): GB (_Cdense_accumb__bget_uint16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__bget_uint16)
// C=scalar+B GB (_bind1st__bget_uint16)
// C=scalar+B' GB (_bind1st_tran__bget_uint16)
// C=A+scalar GB (_bind2nd__bget_uint16)
// C=A'+scalar GB (_bind2nd_tran__bget_uint16)
// C type: uint16_t
// A type: uint16_t
// B,b type: uint16_t
// BinaryOp: cij = GB_BITGET (aij, bij, uint16_t, 16)
#define GB_ATYPE \
uint16_t
#define GB_BTYPE \
uint16_t
#define GB_CTYPE \
uint16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint16_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint16_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_BITGET (x, y, uint16_t, 16) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
1
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_BGET || GxB_NO_UINT16 || GxB_NO_BGET_UINT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__bget_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__bget_uint16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__bget_uint16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint16_t
uint16_t bwork = (*((uint16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__bget_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__bget_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__bget_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__bget_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__bget_uint16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__bget_uint16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t x = (*((uint16_t *) x_input)) ;
uint16_t *Bx = (uint16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint16_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_BITGET (x, bij, uint16_t, 16) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__bget_uint16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t *Ax = (uint16_t *) Ax_input ;
uint16_t y = (*((uint16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint16_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_BITGET (aij, y, uint16_t, 16) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_BITGET (x, aij, uint16_t, 16) ; \
}
GrB_Info GB (_bind1st_tran__bget_uint16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t x = (*((const uint16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_BITGET (aij, y, uint16_t, 16) ; \
}
GrB_Info GB (_bind2nd_tran__bget_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t y = (*((const uint16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
sgeqrf.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @generated from /home/luszczek/workspace/plasma/bitbucket/plasma/compute/zgeqrf.c, normal z -> s, Fri Sep 28 17:38:01 2018
*
**/
#include "plasma.h"
#include "plasma_async.h"
#include "plasma_context.h"
#include "plasma_descriptor.h"
#include "plasma_internal.h"
#include "plasma_tuning.h"
#include "plasma_types.h"
#include "plasma_workspace.h"
/***************************************************************************//**
*
* @ingroup plasma_geqrf
*
* Computes a tile QR factorization of a real or complex m-by-n matrix A.
* The factorization has the form
* \f[ A = Q \times R \f],
* where Q is a matrix with orthonormal columns and R is an upper triangular
* with positive diagonal.
*
*******************************************************************************
*
* @param[in] m
* The number of rows of the matrix A.
* m >= 0.
*
* @param[in] n
* The number of columns of the matrix A.
* n >= 0.
*
* @param[in,out] pA
* On entry, pointer to the m-by-n matrix A.
* On exit, the elements on and above the diagonal of the array contain
* the min(m,n)-by-n upper trapezoidal matrix R (R is upper triangular
* if m >= n); the elements below the diagonal represent the orthogonal
* matrix Q as a product of elementary reflectors stored by tiles.
*
* @param[in] lda
* The leading dimension of the array A. lda >= max(1,m).
*
* @param[out] T
* On exit, auxiliary factorization data, required by plasma_sgeqrs to
* solve the system of equations.
* Matrix in T is allocated inside this function and needs to be
* destroyed by plasma_desc_destroy.
*
*******************************************************************************
*
* @retval PlasmaSuccess successful exit
* @retval < 0 if -i, the i-th argument had an illegal value
*
*******************************************************************************
*
* @sa plasma_omp_sgeqrf
* @sa plasma_cgeqrf
* @sa plasma_dgeqrf
* @sa plasma_sgeqrf
* @sa plasma_sgeqrs
* @sa plasma_sgels
*
******************************************************************************/
int plasma_sgeqrf(int m, int n,
float *pA, int lda,
plasma_desc_t *T)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_fatal_error("PLASMA not initialized");
return PlasmaErrorNotInitialized;
}
// Check input arguments.
if (m < 0) {
plasma_error("illegal value of m");
return -1;
}
if (n < 0) {
plasma_error("illegal value of n");
return -2;
}
if (lda < imax(1, m)) {
plasma_error("illegal value of lda");
return -4;
}
// quick return
if (imin(m, n) == 0)
return PlasmaSuccess;
// Tune parameters.
if (plasma->tuning)
plasma_tune_geqrf(plasma, PlasmaRealFloat, m, n);
// Set tiling parameters.
int ib = plasma->ib;
int nb = plasma->nb;
plasma_enum_t householder_mode = plasma->householder_mode;
// Create tile matrix.
plasma_desc_t A;
int retval;
retval = plasma_desc_general_create(PlasmaRealFloat, nb, nb,
m, n, 0, 0, m, n, &A);
if (retval != PlasmaSuccess) {
plasma_error("plasma_desc_general_create() failed");
return retval;
}
// Prepare descriptor T.
retval = plasma_descT_create(A, ib, householder_mode, T);
if (retval != PlasmaSuccess) {
plasma_error("plasma_descT_create() failed");
return retval;
}
// Allocate workspace.
plasma_workspace_t work;
size_t lwork = nb + ib*nb; // geqrt: tau + work
retval = plasma_workspace_create(&work, lwork, PlasmaRealFloat);
if (retval != PlasmaSuccess) {
plasma_error("plasma_workspace_create() failed");
return retval;
}
// Initialize sequence.
plasma_sequence_t sequence;
retval = plasma_sequence_init(&sequence);
// Initialize request.
plasma_request_t request;
retval = plasma_request_init(&request);
// asynchronous block
#pragma omp parallel
#pragma omp master
{
// Translate to tile layout.
plasma_omp_sge2desc(pA, lda, A, &sequence, &request);
// Call the tile async function.
plasma_omp_sgeqrf(A, *T, work, &sequence, &request);
// Translate back to LAPACK layout.
plasma_omp_sdesc2ge(A, pA, lda, &sequence, &request);
}
// implicit synchronization
plasma_workspace_destroy(&work);
// Free matrix A in tile layout.
plasma_desc_destroy(&A);
// Return status.
int status = sequence.status;
return status;
}
/***************************************************************************//**
*
* @ingroup plasma_geqrf
*
* Computes a tile QR factorization of a matrix.
* Non-blocking tile version of plasma_sgeqrf().
* May return before the computation is finished.
* Operates on matrices stored by tiles.
* All matrices are passed through descriptors.
* All dimensions are taken from the descriptors.
* Allows for pipelining of operations at runtime.
*
*******************************************************************************
*
* @param[in,out] A
* Descriptor of matrix A.
* A is stored in the tile layout.
*
* @param[out] T
* Descriptor of matrix T.
* On exit, auxiliary factorization data, required by plasma_sgeqrs to
* solve the system of equations.
*
* @param[in] work
* Workspace for the auxiliary arrays needed by some coreblas kernels.
* For QR factorization, contains preallocated space for tau and work
* arrays. Allocated by the plasma_workspace_create function.
*
* @param[in] sequence
* Identifies the sequence of function calls that this call belongs to
* (for completion checks and exception handling purposes).
*
* @param[out] request
* Identifies this function call (for exception handling purposes).
*
* @retval void
* Errors are returned by setting sequence->status and
* request->status to error values. The sequence->status and
* request->status should never be set to PlasmaSuccess (the
* initial values) since another async call may be setting a
* failure value at the same time.
*
*******************************************************************************
*
* @sa plasma_sgeqrf
* @sa plasma_omp_cgeqrf
* @sa plasma_omp_dgeqrf
* @sa plasma_omp_sgeqrf
* @sa plasma_omp_sgeqrs
* @sa plasma_omp_sgeqrs
* @sa plasma_omp_sgels
*
******************************************************************************/
void plasma_omp_sgeqrf(plasma_desc_t A, plasma_desc_t T,
plasma_workspace_t work,
plasma_sequence_t *sequence, plasma_request_t *request)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// Check input arguments.
if (plasma_desc_check(A) != PlasmaSuccess) {
plasma_error("invalid A");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (plasma_desc_check(T) != PlasmaSuccess) {
plasma_error("invalid T");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (sequence == NULL) {
plasma_fatal_error("NULL sequence");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (request == NULL) {
plasma_fatal_error("NULL request");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// quick return
if (imin(A.m, A.n) == 0)
return;
// Call the parallel function.
if (plasma->householder_mode == PlasmaTreeHouseholder) {
plasma_psgeqrf_tree(A, T, work, sequence, request);
}
else {
plasma_psgeqrf(A, T, work, sequence, request);
}
}
|
utils.h | /******************************************************************************
* Copyright (c) Intel Corporation - All rights reserved. *
* This file is part of the LIBXSMM library. *
* *
* For information on the license, see the LICENSE file. *
* Further information: https://github.com/hfp/libxsmm/ *
* SPDX-License-Identifier: BSD-3-Clause *
******************************************************************************/
/* Dhiraj Kalamkar (Intel Corp.)
******************************************************************************/
#ifndef _UTILS_H_
#define _UTILS_H_
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <unistd.h>
#ifdef _OPENMP
#include <omp.h>
#else
#define omp_get_num_threads() (1)
#define omp_get_thread_num() (0)
#define omp_get_max_threads() (1)
#endif
const int alignment = 64;
typedef long ITyp;
typedef float FTyp;
typedef uint16_t Half;
extern thread_local struct drand48_data rand_buf;
static double get_time() {
static bool init_done = false;
static struct timespec stp = {0,0};
struct timespec tp;
clock_gettime(CLOCK_REALTIME, &tp);
/*clock_gettime(CLOCK_PROCESS_CPUTIME_ID, &tp);*/
if(!init_done) {
init_done = true;
stp = tp;
}
double ret = (tp.tv_sec - stp.tv_sec) * 1e3 + (tp.tv_nsec - stp.tv_nsec)*1e-6;
return ret;
}
void set_random_seed(int seed);
template<typename T>
void init_zero(size_t sz, T *buf)
{
#pragma omp parallel for
for(size_t i = 0; i < sz; i++)
buf[i] = (T)0;
}
template<typename T>
void init_random(size_t sz, T *buf, T low, T high)
{
T range = high - low;
#pragma omp parallel for schedule(static)
for(size_t i = 0; i < sz; i++) {
double randval;
drand48_r(&rand_buf, &randval);
buf[i] = randval * range - low;
}
}
inline void *my_malloc(size_t sz, size_t align)
{
return _mm_malloc(sz, align);
}
inline void my_free(void *p)
{
_mm_free(p);
}
#endif /*_UTILS_H_*/
|
DRB059-lastprivate-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
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
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL 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
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY 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.
*/
/*
Using lastprivate() to resolve an output dependence.
Semantics of lastprivate (x):
causes the corresponding original list item to be updated after the end of the region.
The compiler/runtime copies the local value back to the shared one within the last iteration.
*/
#include "omprace.h"
#include <omp.h>
#include <stdio.h>
void foo()
{
int i,x;
#pragma omp parallel for private (i) lastprivate (x)
for (i=0;i<100;i++)
x=i;
printf("x=%d",x);
}
int main()
{
omprace_init();
foo();
omprace_fini();
return 0;
}
|
declare_variant_if.c | #include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <omp.h>
// --- start of saxpy header with variants ---
int saxpy(int, float, float *, float *);
int amdgcn_saxpy(int, float, float *, float *);
int nvptx_saxpy(int, float, float *, float *);
#pragma omp declare variant(nvptx_saxpy) \
match(device = {arch(nvptx, nvptx64)}, implementation = {extension(match_any)})
#pragma omp declare variant( amdgcn_saxpy ) \
match(device = {arch(amdgcn)}, implementation = {extension(match_any)})
int saxpy(int n, float s, float *x, float *y) // base function
{
printf("saxpy: Running on host . IsHost:%d\n", omp_is_initial_device());
#pragma omp parallel for
for(int i=0; i<n; i++) y[i] = s*x[i] + y[i];
return 1;
}
int amdgcn_saxpy(int n, float s, float *x, float *y) //function variant
{
printf("amdgcn_saxpY: Running on amdgcn device. IsHost:%d\n", omp_is_initial_device());
#pragma omp teams distribute parallel for
for(int i=0; i<=n; i++) { y[i] = s*x[i] + y[i]; }
return 0;
}
int nvptx_saxpy(int n, float s, float *x, float *y) //function variant
{
printf("nvptx_saxpy: Running on nvptx device. IsHost:%d\n",omp_is_initial_device());
#pragma omp teams distribute parallel for
for(int i=0; i<n; i++) y[i] = s*x[i] + y[i];
return 0;
}
// --- end of saxpy header with variants ----
#define N 128
#define THRESHOLD 127
int main() {
static float x[N],y[N] __attribute__ ((aligned(64)));
float s=2.0;
int return_code = 0 ;
for(int i=0; i<N; i++){ x[i]=i+1; y[i]=i+1; } // initialize
printf("Calling saxpy with high threshold for device execution\n");
#pragma omp target if (N>(THRESHOLD*2))
return_code = saxpy(N,s,x,y);
printf("Calling saxpy with low threshold for device execution\n");
#pragma omp target if (N>THRESHOLD)
return_code = saxpy(N,s,x,y);
printf("y[0],y[N-1]: %5.0f %5.0f\n",y[0],y[N-1]); //output: y... 5 640
return return_code;
}
|
eigrp_fmt_plug.c | /*
* Cracker for EIGRP (Cisco's proprietary routing protocol) MD5 + HMAC-SHA-256 authentication.
* http://tools.ietf.org/html/draft-savage-eigrp-00
*
* This is dedicated to Darya. You inspire me.
*
* This software is Copyright (c) 2014, Dhiru Kholia <dhiru [at] openwall.com>,
* and it is hereby released to the general public under the following terms:
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_eigrp;
#elif FMT_REGISTERS_H
john_register_one(&fmt_eigrp);
#else
#include <string.h>
#ifdef _OPENMP
#include <omp.h>
// OMP_SCALE on Intel core i7
// 2048 - 12030k/11596k
// 4096 - 12575k/13114k
// 8192 - 13316k/13921k
// 16k - 13547k/14458k
// 32k - 16106k/14700k
// 64k - 16106k/14700k
// 64k - 16674k/14674k
// 128k - 17795k/14663k --test=0 has a tiny delay, but not bad.
#ifdef __MIC__
#ifndef OMP_SCALE
#define OMP_SCALE 8192
#endif
#else
#ifndef OMP_SCALE
#define OMP_SCALE 131072
#endif
#endif
#endif
#include "arch.h"
#include "md5.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include "memdbg.h"
#include "escrypt/sha256.h"
#define FORMAT_LABEL "eigrp"
#define FORMAT_NAME "EIGRP MD5 / HMAC-SHA-256 authentication"
#define FORMAT_TAG "$eigrp$"
#define TAG_LENGTH (sizeof(FORMAT_TAG) - 1)
#define ALGORITHM_NAME "MD5 32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define PLAINTEXT_LENGTH 81 // IOU accepts larger strings but doesn't use them fully, passwords are zero padded to a minimum length of 16 (for MD5 hashes only)!
#define BINARY_SIZE 16 // MD5 hash or first 16 bytes of HMAC-SHA-256
#define BINARY_ALIGN sizeof(uint32_t)
#define SALT_SIZE sizeof(struct custom_salt)
#define SALT_ALIGN sizeof(int)
#define MAX_SALT_SIZE 1024
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#define HEXCHARS "0123456789abcdef"
static struct fmt_tests tests[] = {
{"$eigrp$2$020500000000000000000000000000000000002a000200280002001000000001000000000000000000000000$0$x$1a42aaf8ebe2f766100ea1fa05a5fa55", "password12345"},
{"$eigrp$2$020500000000000000000000000000000000002a000200280002001000000001000000000000000000000000$0$x$f29e7d44351d37e6fc71e2aacca63d28", "1234567812345"},
{"$eigrp$2$020500000000000000000000000000000000002a000200280002001000000001000000000000000000000000$1$0001000c010001000000000f000400080500030000f5000c0000000400$560c87396267310978883da92c0cff90", "password12345"},
{"$eigrp$2$020500000000000000000000000000000000002a000200280002001000000001000000000000000000000000$0$x$61f237e29d28538a372f01121f2cd12f", "123456789012345678901234567890"},
{"$eigrp$2$0205000000000000000000000000000000000001000200280002001000000001000000000000000000000000$0$x$212acb1cb76b31a810a9752c5cf6f554", "ninja"}, // this one is for @digininja :-)
{"$eigrp$3$020500000000000000000000000000000000000a00020038000300200000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000c010001000000000f000400080f00020000f5000a000000020000$0$x$1$10.0.0.2$cff66484cea20c6f58f175f8c004fc6d73be72090e53429c2616309aca38d5f3", "password12345"}, // HMAC-SHA-256 hash
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static int *saved_len;
static uint32_t (*crypt_out)[BINARY_SIZE / sizeof(uint32_t)];
static struct custom_salt {
int length;
int algo_type;
int have_extra_salt;
int extra_salt_length;
unsigned char salt[MAX_SALT_SIZE];
char ip[45 + 1];
int ip_length;
MD5_CTX prep_salt;
unsigned char extra_salt[MAX_SALT_SIZE];
} *cur_salt;
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
saved_len = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_len));
crypt_out = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_out));
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_len);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *p, *ptrkeep;
int res;
if (strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
return 0;
ptrkeep = strdup(ciphertext);
p = &ptrkeep[TAG_LENGTH];
if ((p = strtokm(p, "$")) == NULL)
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res != 2 && res != 3) // MD5 hashes + HMAC-SHA256 hashes
goto err;
if ((p = strtokm(NULL, "$")) == NULL) // salt
goto err;
if (strlen(p) > MAX_SALT_SIZE*2)
goto err;
if (!ishexlc(p))
goto err;
if ((p = strtokm(NULL, "$")) == NULL)
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res > 1)
goto err;
if ((p = strtokm(NULL, "$")) == NULL) // salt2 (or a junk field)
goto err;
if (res == 1) {
// we only care about extra salt IF that number was a 1
if (strlen(p) > MAX_SALT_SIZE*2)
goto err;
if (!ishexlc(p))
goto err;
}
if ((p = strtokm(NULL, "$")) == NULL) // binary hash (or IP)
goto err;
if (!strcmp(p, "1")) { // this was an IP
if ((p = strtokm(NULL, "$")) == NULL) // IP
goto err;
// not doing too much IP validation. Length will have to do.
// 5 char ip 'could' be 127.1 I know of no short IP. 1.1.1.1 is longer.
if (strlen(p) < 5 || strlen(p) > sizeof(cur_salt->ip))
goto err;
if ((p = strtokm(NULL, "$")) == NULL) // ok, now p is binary.
goto err;
}
res = strlen(p);
if (res != BINARY_SIZE * 2 && res != 32 * 2)
goto err;
if (!ishexlc(p))
goto err;
MEM_FREE(ptrkeep);
return 1;
err:
MEM_FREE(ptrkeep);
return 0;
}
static void *get_salt(char *ciphertext)
{
static struct custom_salt cs;
int i, len;
char *p, *q;
memset(&cs, 0, SALT_SIZE);
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
ciphertext += TAG_LENGTH;
p = ciphertext;
cs.algo_type = atoi(p);
p = p + 2; // salt start
q = strchr(p, '$');
len = (q - p) / 2;
cs.length = len;
for (i = 0; i < len; i++)
cs.salt[i] = (atoi16[ARCH_INDEX(p[2 * i])] << 4) |
atoi16[ARCH_INDEX(p[2 * i + 1])];
q = q + 1;
cs.have_extra_salt = atoi(q);
if (cs.have_extra_salt == 1) {
p = q + 2;
q = strchr(p, '$');
cs.extra_salt_length = (q - p) / 2;
for (i = 0; i < cs.extra_salt_length; i++)
cs.extra_salt[i] = (atoi16[ARCH_INDEX(p[2 * i])] << 4) |
atoi16[ARCH_INDEX(p[2 * i + 1])];
} else {
/* skip over extra_salt */
p = q + 2;
q = strchr(p, '$');
}
/* dirty hack for HMAC-SHA-256 support */
if (*q == '$' && *(q+1) == '1' && *(q+2) == '$') { /* IP destination field */
p = q + 3;
q = strchr(p, '$');
cs.ip_length = q - p;
strncpy(cs.ip, p, cs.ip_length);
}
/* Better do this once than 10 million times per second */
if (cs.algo_type == 2) {
MD5_Init(&cs.prep_salt);
MD5_Update(&cs.prep_salt, cs.salt, cs.length);
}
return &cs;
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[BINARY_SIZE];
ARCH_WORD dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
p = strrchr(ciphertext, '$') + 1;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
static unsigned char zeropad[16] = {0};
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index++)
#endif
{
MD5_CTX ctx;
if (cur_salt->algo_type == 2) {
memcpy(&ctx, &cur_salt->prep_salt, sizeof(MD5_CTX));
MD5_Update(&ctx, saved_key[index], saved_len[index]);
if (saved_len[index] < 16) {
MD5_Update(&ctx, zeropad, 16 - saved_len[index]);
}
// do we have extra_salt?
if (cur_salt->have_extra_salt) {
MD5_Update(&ctx, cur_salt->extra_salt, cur_salt->extra_salt_length);
}
MD5_Final((unsigned char*)crypt_out[index], &ctx);
} else {
HMAC_SHA256_CTX hctx[1];
unsigned char output[32];
unsigned char buffer[1 + PLAINTEXT_LENGTH + 45 + 1] = { 0 }; // HMAC key ==> '\n' + password + IP address
buffer[0] = '\n'; // WTF?
memcpy(buffer + 1, saved_key[index], saved_len[index]);
memcpy(buffer + 1 + saved_len[index], cur_salt->ip, cur_salt->ip_length);
HMAC__SHA256_Init(hctx, buffer, 1 + saved_len[index] + cur_salt->ip_length);
HMAC__SHA256_Update(hctx, cur_salt->salt, cur_salt->length);
HMAC__SHA256_Final(output, hctx);
memcpy((unsigned char*)crypt_out[index], output, BINARY_SIZE);
}
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
#ifdef _OPENMP
for (; index < count; index++)
#endif
if (((uint32_t*)binary)[0] == crypt_out[index][0])
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void eigrp_set_key(char *key, int index)
{
saved_len[index] = strnzcpyn(saved_key[index], key,
PLAINTEXT_LENGTH + 1);
}
static char *get_key(int index)
{
return saved_key[index];
}
static unsigned int get_cost(void *salt)
{
return (unsigned int)((struct custom_salt*)salt)->algo_type;
}
struct fmt_main fmt_eigrp = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP | FMT_HUGE_INPUT,
{
"algorithm [2:MD5 3:HMAC-SHA-256]",
},
{ FORMAT_TAG },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{
get_cost,
},
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
NULL,
set_salt,
eigrp_set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif
|
StmtOpenMP.h | //===- StmtOpenMP.h - Classes for OpenMP directives ------------*- C++ -*-===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
/// \file
/// \brief This file defines OpenMP AST classes for executable directives and
/// clauses.
///
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_AST_STMTOPENMP_H
#define LLVM_CLANG_AST_STMTOPENMP_H
#include "clang/AST/Expr.h"
#include "clang/AST/OpenMPClause.h"
#include "clang/AST/Stmt.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/SourceLocation.h"
namespace clang {
//===----------------------------------------------------------------------===//
// AST classes for directives.
//===----------------------------------------------------------------------===//
/// \brief This is a basic class for representing single OpenMP executable
/// directive.
///
class OMPExecutableDirective : public Stmt {
friend class ASTStmtReader;
/// \brief Kind of the directive.
OpenMPDirectiveKind Kind;
/// \brief Starting location of the directive (directive keyword).
SourceLocation StartLoc;
/// \brief Ending location of the directive.
SourceLocation EndLoc;
/// \brief Numbers of clauses.
const unsigned NumClauses;
/// \brief Number of child expressions/stmts.
const unsigned NumChildren;
/// \brief Offset from this to the start of clauses.
/// There are NumClauses pointers to clauses, they are followed by
/// NumChildren pointers to child stmts/exprs (if the directive type
/// requires an associated stmt, then it has to be the first of them).
const unsigned ClausesOffset;
/// \brief Get the clauses storage.
MutableArrayRef<OMPClause *> getClauses() {
OMPClause **ClauseStorage = reinterpret_cast<OMPClause **>(
reinterpret_cast<char *>(this) + ClausesOffset);
return MutableArrayRef<OMPClause *>(ClauseStorage, NumClauses);
}
protected:
/// \brief Build instance of directive of class \a K.
///
/// \param SC Statement class.
/// \param K Kind of OpenMP directive.
/// \param StartLoc Starting location of the directive (directive keyword).
/// \param EndLoc Ending location of the directive.
///
template <typename T>
OMPExecutableDirective(const T *, StmtClass SC, OpenMPDirectiveKind K,
SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses, unsigned NumChildren)
: Stmt(SC), Kind(K), StartLoc(std::move(StartLoc)),
EndLoc(std::move(EndLoc)), NumClauses(NumClauses),
NumChildren(NumChildren),
ClausesOffset(llvm::alignTo(sizeof(T), llvm::alignOf<OMPClause *>())) {}
/// \brief Sets the list of variables for this clause.
///
/// \param Clauses The list of clauses for the directive.
///
void setClauses(ArrayRef<OMPClause *> Clauses);
/// \brief Set the associated statement for the directive.
///
/// /param S Associated statement.
///
void setAssociatedStmt(Stmt *S) {
assert(hasAssociatedStmt() && "no associated statement.");
*child_begin() = S;
}
public:
/// \brief Iterates over a filtered subrange of clauses applied to a
/// directive.
///
/// This iterator visits only clauses of type SpecificClause.
template <typename SpecificClause>
class specific_clause_iterator
: public llvm::iterator_adaptor_base<
specific_clause_iterator<SpecificClause>,
ArrayRef<OMPClause *>::const_iterator, std::forward_iterator_tag,
const SpecificClause *, ptrdiff_t, const SpecificClause *,
const SpecificClause *> {
ArrayRef<OMPClause *>::const_iterator End;
void SkipToNextClause() {
while (this->I != End && !isa<SpecificClause>(*this->I))
++this->I;
}
public:
explicit specific_clause_iterator(ArrayRef<OMPClause *> Clauses)
: specific_clause_iterator::iterator_adaptor_base(Clauses.begin()),
End(Clauses.end()) {
SkipToNextClause();
}
const SpecificClause *operator*() const {
return cast<SpecificClause>(*this->I);
}
const SpecificClause *operator->() const { return **this; }
specific_clause_iterator &operator++() {
++this->I;
SkipToNextClause();
return *this;
}
};
template <typename SpecificClause>
static llvm::iterator_range<specific_clause_iterator<SpecificClause>>
getClausesOfKind(ArrayRef<OMPClause *> Clauses) {
return {specific_clause_iterator<SpecificClause>(Clauses),
specific_clause_iterator<SpecificClause>(
llvm::makeArrayRef(Clauses.end(), 0))};
}
template <typename SpecificClause>
llvm::iterator_range<specific_clause_iterator<SpecificClause>>
getClausesOfKind() const {
return getClausesOfKind<SpecificClause>(clauses());
}
/// Gets a single clause of the specified kind associated with the
/// current directive iff there is only one clause of this kind (and assertion
/// is fired if there is more than one clause is associated with the
/// directive). Returns nullptr if no clause of this kind is associated with
/// the directive.
template <typename SpecificClause>
const SpecificClause *getSingleClause() const {
auto Clauses = getClausesOfKind<SpecificClause>();
if (Clauses.begin() != Clauses.end()) {
assert(std::next(Clauses.begin()) == Clauses.end() &&
"There are at least 2 clauses of the specified kind");
return *Clauses.begin();
}
return nullptr;
}
/// Returns true if the current directive has one or more clauses of a
/// specific kind.
template <typename SpecificClause>
bool hasClausesOfKind() const {
auto Clauses = getClausesOfKind<SpecificClause>();
return Clauses.begin() != Clauses.end();
}
/// \brief Returns starting location of directive kind.
SourceLocation getLocStart() const { return StartLoc; }
/// \brief Returns ending location of directive.
SourceLocation getLocEnd() const { return EndLoc; }
/// \brief Set starting location of directive kind.
///
/// \param Loc New starting location of directive.
///
void setLocStart(SourceLocation Loc) { StartLoc = Loc; }
/// \brief Set ending location of directive.
///
/// \param Loc New ending location of directive.
///
void setLocEnd(SourceLocation Loc) { EndLoc = Loc; }
/// \brief Get number of clauses.
unsigned getNumClauses() const { return NumClauses; }
/// \brief Returns specified clause.
///
/// \param i Number of clause.
///
OMPClause *getClause(unsigned i) const { return clauses()[i]; }
/// \brief Returns true if directive has associated statement.
bool hasAssociatedStmt() const { return NumChildren > 0; }
/// \brief Returns statement associated with the directive.
Stmt *getAssociatedStmt() const {
assert(hasAssociatedStmt() && "no associated statement.");
return const_cast<Stmt *>(*child_begin());
}
OpenMPDirectiveKind getDirectiveKind() const { return Kind; }
static bool classof(const Stmt *S) {
return S->getStmtClass() >= firstOMPExecutableDirectiveConstant &&
S->getStmtClass() <= lastOMPExecutableDirectiveConstant;
}
child_range children() {
if (!hasAssociatedStmt())
return child_range(child_iterator(), child_iterator());
Stmt **ChildStorage = reinterpret_cast<Stmt **>(getClauses().end());
return child_range(ChildStorage, ChildStorage + NumChildren);
}
ArrayRef<OMPClause *> clauses() { return getClauses(); }
ArrayRef<OMPClause *> clauses() const {
return const_cast<OMPExecutableDirective *>(this)->getClauses();
}
};
/// \brief This represents '#pragma omp parallel' directive.
///
/// \code
/// #pragma omp parallel private(a,b) reduction(+: c,d)
/// \endcode
/// In this example directive '#pragma omp parallel' has clauses 'private'
/// with the variables 'a' and 'b' and 'reduction' with operator '+' and
/// variables 'c' and 'd'.
///
class OMPParallelDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief true if the construct has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive (directive keyword).
/// \param EndLoc Ending Location of the directive.
///
OMPParallelDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelDirectiveClass, OMPD_parallel,
StartLoc, EndLoc, NumClauses, 1),
HasCancel(false) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPParallelDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelDirectiveClass, OMPD_parallel,
SourceLocation(), SourceLocation(), NumClauses,
1),
HasCancel(false) {}
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement associated with the directive.
/// \param HasCancel true if this directive has inner cancel directive.
///
static OMPParallelDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, bool HasCancel);
/// \brief Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPParallelDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelDirectiveClass;
}
};
/// \brief This is a common base class for loop directives ('omp simd', 'omp
/// for', 'omp for simd' etc.). It is responsible for the loop code generation.
///
class OMPLoopDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Number of collapsed loops as specified by 'collapse' clause.
unsigned CollapsedNum;
/// \brief Offsets to the stored exprs.
/// This enumeration contains offsets to all the pointers to children
/// expressions stored in OMPLoopDirective.
/// The first 9 children are nesessary for all the loop directives, and
/// the next 10 are specific to the worksharing ones.
/// After the fixed children, three arrays of length CollapsedNum are
/// allocated: loop counters, their updates and final values.
/// PrevLowerBound and PrevUpperBound are used to communicate blocking
/// information in composite constructs which require loop blocking
///
enum {
AssociatedStmtOffset = 0,
IterationVariableOffset = 1,
LastIterationOffset = 2,
CalcLastIterationOffset = 3,
PreConditionOffset = 4,
CondOffset = 5,
InitOffset = 6,
IncOffset = 7,
PreInitsOffset = 8,
// The '...End' enumerators do not correspond to child expressions - they
// specify the offset to the end (and start of the following counters/
// updates/finals arrays).
DefaultEnd = 9,
// The following 7 exprs are used by worksharing loops only.
IsLastIterVariableOffset = 9,
LowerBoundVariableOffset = 10,
UpperBoundVariableOffset = 11,
StrideVariableOffset = 12,
EnsureUpperBoundOffset = 13,
NextLowerBoundOffset = 14,
NextUpperBoundOffset = 15,
NumIterationsOffset = 16,
PrevLowerBoundVariableOffset = 17,
PrevUpperBoundVariableOffset = 18,
// Offset to the end (and start of the following counters/updates/finals
// arrays) for worksharing loop directives.
WorksharingEnd = 19,
};
/// \brief Get the counters storage.
MutableArrayRef<Expr *> getCounters() {
Expr **Storage = reinterpret_cast<Expr **>(
&(*(std::next(child_begin(), getArraysOffset(getDirectiveKind())))));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// \brief Get the private counters storage.
MutableArrayRef<Expr *> getPrivateCounters() {
Expr **Storage = reinterpret_cast<Expr **>(&*std::next(
child_begin(), getArraysOffset(getDirectiveKind()) + CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// \brief Get the updates storage.
MutableArrayRef<Expr *> getInits() {
Expr **Storage = reinterpret_cast<Expr **>(
&*std::next(child_begin(),
getArraysOffset(getDirectiveKind()) + 2 * CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// \brief Get the updates storage.
MutableArrayRef<Expr *> getUpdates() {
Expr **Storage = reinterpret_cast<Expr **>(
&*std::next(child_begin(),
getArraysOffset(getDirectiveKind()) + 3 * CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// \brief Get the final counter updates storage.
MutableArrayRef<Expr *> getFinals() {
Expr **Storage = reinterpret_cast<Expr **>(
&*std::next(child_begin(),
getArraysOffset(getDirectiveKind()) + 4 * CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
protected:
/// \brief Build instance of loop directive of class \a Kind.
///
/// \param SC Statement class.
/// \param Kind Kind of OpenMP directive.
/// \param StartLoc Starting location of the directive (directive keyword).
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed loops from 'collapse' clause.
/// \param NumClauses Number of clauses.
/// \param NumSpecialChildren Number of additional directive-specific stmts.
///
template <typename T>
OMPLoopDirective(const T *That, StmtClass SC, OpenMPDirectiveKind Kind,
SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses,
unsigned NumSpecialChildren = 0)
: OMPExecutableDirective(That, SC, Kind, StartLoc, EndLoc, NumClauses,
numLoopChildren(CollapsedNum, Kind) +
NumSpecialChildren),
CollapsedNum(CollapsedNum) {}
/// \brief Offset to the start of children expression arrays.
static unsigned getArraysOffset(OpenMPDirectiveKind Kind) {
return (isOpenMPWorksharingDirective(Kind) ||
isOpenMPTaskLoopDirective(Kind) ||
isOpenMPDistributeDirective(Kind))
? WorksharingEnd
: DefaultEnd;
}
/// \brief Children number.
static unsigned numLoopChildren(unsigned CollapsedNum,
OpenMPDirectiveKind Kind) {
return getArraysOffset(Kind) + 5 * CollapsedNum; // Counters,
// PrivateCounters, Inits,
// Updates and Finals
}
void setIterationVariable(Expr *IV) {
*std::next(child_begin(), IterationVariableOffset) = IV;
}
void setLastIteration(Expr *LI) {
*std::next(child_begin(), LastIterationOffset) = LI;
}
void setCalcLastIteration(Expr *CLI) {
*std::next(child_begin(), CalcLastIterationOffset) = CLI;
}
void setPreCond(Expr *PC) {
*std::next(child_begin(), PreConditionOffset) = PC;
}
void setCond(Expr *Cond) {
*std::next(child_begin(), CondOffset) = Cond;
}
void setInit(Expr *Init) { *std::next(child_begin(), InitOffset) = Init; }
void setInc(Expr *Inc) { *std::next(child_begin(), IncOffset) = Inc; }
void setPreInits(Stmt *PreInits) {
*std::next(child_begin(), PreInitsOffset) = PreInits;
}
void setIsLastIterVariable(Expr *IL) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), IsLastIterVariableOffset) = IL;
}
void setLowerBoundVariable(Expr *LB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), LowerBoundVariableOffset) = LB;
}
void setUpperBoundVariable(Expr *UB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), UpperBoundVariableOffset) = UB;
}
void setStrideVariable(Expr *ST) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), StrideVariableOffset) = ST;
}
void setEnsureUpperBound(Expr *EUB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), EnsureUpperBoundOffset) = EUB;
}
void setNextLowerBound(Expr *NLB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), NextLowerBoundOffset) = NLB;
}
void setNextUpperBound(Expr *NUB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), NextUpperBoundOffset) = NUB;
}
void setNumIterations(Expr *NI) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), NumIterationsOffset) = NI;
}
void setPrevLowerBoundVariable(Expr *PrevLB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), PrevLowerBoundVariableOffset) = PrevLB;
}
void setPrevUpperBoundVariable(Expr *PrevUB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), PrevUpperBoundVariableOffset) = PrevUB;
}
void setCounters(ArrayRef<Expr *> A);
void setPrivateCounters(ArrayRef<Expr *> A);
void setInits(ArrayRef<Expr *> A);
void setUpdates(ArrayRef<Expr *> A);
void setFinals(ArrayRef<Expr *> A);
public:
/// \brief The expressions built for the OpenMP loop CodeGen for the
/// whole collapsed loop nest.
struct HelperExprs {
/// \brief Loop iteration variable.
Expr *IterationVarRef;
/// \brief Loop last iteration number.
Expr *LastIteration;
/// \brief Loop number of iterations.
Expr *NumIterations;
/// \brief Calculation of last iteration.
Expr *CalcLastIteration;
/// \brief Loop pre-condition.
Expr *PreCond;
/// \brief Loop condition.
Expr *Cond;
/// \brief Loop iteration variable init.
Expr *Init;
/// \brief Loop increment.
Expr *Inc;
/// \brief IsLastIteration - local flag variable passed to runtime.
Expr *IL;
/// \brief LowerBound - local variable passed to runtime.
Expr *LB;
/// \brief UpperBound - local variable passed to runtime.
Expr *UB;
/// \brief Stride - local variable passed to runtime.
Expr *ST;
/// \brief EnsureUpperBound -- expression LB = min(LB, NumIterations).
Expr *EUB;
/// \brief Update of LowerBound for statically sheduled 'omp for' loops.
Expr *NLB;
/// \brief Update of UpperBound for statically sheduled 'omp for' loops.
Expr *NUB;
/// \brief PreviousLowerBound - local variable passed to runtime in the
/// enclosing schedule or null if that does not apply.
Expr *PrevLB;
/// \brief PreviousUpperBound - local variable passed to runtime in the
/// enclosing schedule or null if that does not apply.
Expr *PrevUB;
/// \brief Counters Loop counters.
SmallVector<Expr *, 4> Counters;
/// \brief PrivateCounters Loop counters.
SmallVector<Expr *, 4> PrivateCounters;
/// \brief Expressions for loop counters inits for CodeGen.
SmallVector<Expr *, 4> Inits;
/// \brief Expressions for loop counters update for CodeGen.
SmallVector<Expr *, 4> Updates;
/// \brief Final loop counter values for GodeGen.
SmallVector<Expr *, 4> Finals;
/// Init statement for all captured expressions.
Stmt *PreInits;
/// \brief Check if all the expressions are built (does not check the
/// worksharing ones).
bool builtAll() {
return IterationVarRef != nullptr && LastIteration != nullptr &&
NumIterations != nullptr && PreCond != nullptr &&
Cond != nullptr && Init != nullptr && Inc != nullptr;
}
/// \brief Initialize all the fields to null.
/// \param Size Number of elements in the counters/finals/updates arrays.
void clear(unsigned Size) {
IterationVarRef = nullptr;
LastIteration = nullptr;
CalcLastIteration = nullptr;
PreCond = nullptr;
Cond = nullptr;
Init = nullptr;
Inc = nullptr;
IL = nullptr;
LB = nullptr;
UB = nullptr;
ST = nullptr;
EUB = nullptr;
NLB = nullptr;
NUB = nullptr;
NumIterations = nullptr;
PrevLB = nullptr;
PrevUB = nullptr;
Counters.resize(Size);
PrivateCounters.resize(Size);
Inits.resize(Size);
Updates.resize(Size);
Finals.resize(Size);
for (unsigned i = 0; i < Size; ++i) {
Counters[i] = nullptr;
PrivateCounters[i] = nullptr;
Inits[i] = nullptr;
Updates[i] = nullptr;
Finals[i] = nullptr;
}
PreInits = nullptr;
}
};
/// \brief Get number of collapsed loops.
unsigned getCollapsedNumber() const { return CollapsedNum; }
Expr *getIterationVariable() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), IterationVariableOffset)));
}
Expr *getLastIteration() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), LastIterationOffset)));
}
Expr *getCalcLastIteration() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CalcLastIterationOffset)));
}
Expr *getPreCond() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), PreConditionOffset)));
}
Expr *getCond() const {
return const_cast<Expr *>(
reinterpret_cast<const Expr *>(*std::next(child_begin(), CondOffset)));
}
Expr *getInit() const {
return const_cast<Expr *>(
reinterpret_cast<const Expr *>(*std::next(child_begin(), InitOffset)));
}
Expr *getInc() const {
return const_cast<Expr *>(
reinterpret_cast<const Expr *>(*std::next(child_begin(), IncOffset)));
}
const Stmt *getPreInits() const {
return *std::next(child_begin(), PreInitsOffset);
}
Stmt *getPreInits() { return *std::next(child_begin(), PreInitsOffset); }
Expr *getIsLastIterVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), IsLastIterVariableOffset)));
}
Expr *getLowerBoundVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), LowerBoundVariableOffset)));
}
Expr *getUpperBoundVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), UpperBoundVariableOffset)));
}
Expr *getStrideVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), StrideVariableOffset)));
}
Expr *getEnsureUpperBound() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), EnsureUpperBoundOffset)));
}
Expr *getNextLowerBound() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), NextLowerBoundOffset)));
}
Expr *getNextUpperBound() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), NextUpperBoundOffset)));
}
Expr *getNumIterations() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), NumIterationsOffset)));
}
Expr *getPrevLowerBoundVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), PrevLowerBoundVariableOffset)));
}
Expr *getPrevUpperBoundVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), PrevUpperBoundVariableOffset)));
}
const Stmt *getBody() const {
// This relies on the loop form is already checked by Sema.
Stmt *Body = getAssociatedStmt()->IgnoreContainers(true);
Body = cast<ForStmt>(Body)->getBody();
for (unsigned Cnt = 1; Cnt < CollapsedNum; ++Cnt) {
Body = Body->IgnoreContainers();
Body = cast<ForStmt>(Body)->getBody();
}
return Body;
}
ArrayRef<Expr *> counters() { return getCounters(); }
ArrayRef<Expr *> counters() const {
return const_cast<OMPLoopDirective *>(this)->getCounters();
}
ArrayRef<Expr *> private_counters() { return getPrivateCounters(); }
ArrayRef<Expr *> private_counters() const {
return const_cast<OMPLoopDirective *>(this)->getPrivateCounters();
}
ArrayRef<Expr *> inits() { return getInits(); }
ArrayRef<Expr *> inits() const {
return const_cast<OMPLoopDirective *>(this)->getInits();
}
ArrayRef<Expr *> updates() { return getUpdates(); }
ArrayRef<Expr *> updates() const {
return const_cast<OMPLoopDirective *>(this)->getUpdates();
}
ArrayRef<Expr *> finals() { return getFinals(); }
ArrayRef<Expr *> finals() const {
return const_cast<OMPLoopDirective *>(this)->getFinals();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSimdDirectiveClass ||
T->getStmtClass() == OMPForDirectiveClass ||
T->getStmtClass() == OMPForSimdDirectiveClass ||
T->getStmtClass() == OMPParallelForDirectiveClass ||
T->getStmtClass() == OMPParallelForSimdDirectiveClass ||
T->getStmtClass() == OMPTaskLoopDirectiveClass ||
T->getStmtClass() == OMPTaskLoopSimdDirectiveClass ||
T->getStmtClass() == OMPDistributeDirectiveClass ||
T->getStmtClass() == OMPTargetParallelForDirectiveClass ||
T->getStmtClass() == OMPDistributeParallelForDirectiveClass ||
T->getStmtClass() == OMPDistributeParallelForSimdDirectiveClass ||
T->getStmtClass() == OMPDistributeSimdDirectiveClass ||
T->getStmtClass() == OMPTargetParallelForSimdDirectiveClass;
}
};
/// \brief This represents '#pragma omp simd' directive.
///
/// \code
/// #pragma omp simd private(a,b) linear(i,j:s) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp simd' has clauses 'private'
/// with the variables 'a' and 'b', 'linear' with variables 'i', 'j' and
/// linear step 's', 'reduction' with operator '+' and variables 'c' and 'd'.
///
class OMPSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPSimdDirectiveClass, OMPD_simd, StartLoc,
EndLoc, CollapsedNum, NumClauses) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPSimdDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPSimdDirectiveClass, OMPD_simd,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPSimdDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc, unsigned CollapsedNum,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt,
const HelperExprs &Exprs);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPSimdDirective *CreateEmpty(const ASTContext &C, unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSimdDirectiveClass;
}
};
/// \brief This represents '#pragma omp for' directive.
///
/// \code
/// #pragma omp for private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp for' has clauses 'private' with the
/// variables 'a' and 'b' and 'reduction' with operator '+' and variables 'c'
/// and 'd'.
///
class OMPForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief true if current directive has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPForDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForDirectiveClass, OMPD_for, StartLoc, EndLoc,
CollapsedNum, NumClauses),
HasCancel(false) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPForDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForDirectiveClass, OMPD_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses),
HasCancel(false) {}
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPForDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc, unsigned CollapsedNum,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs,
bool HasCancel);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPForDirective *CreateEmpty(const ASTContext &C, unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPForDirectiveClass;
}
};
/// \brief This represents '#pragma omp for simd' directive.
///
/// \code
/// #pragma omp for simd private(a,b) linear(i,j:s) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp for simd' has clauses 'private'
/// with the variables 'a' and 'b', 'linear' with variables 'i', 'j' and
/// linear step 's', 'reduction' with operator '+' and variables 'c' and 'd'.
///
class OMPForSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPForSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForSimdDirectiveClass, OMPD_for_simd,
StartLoc, EndLoc, CollapsedNum, NumClauses) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPForSimdDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForSimdDirectiveClass, OMPD_for_simd,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPForSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPForSimdDirectiveClass;
}
};
/// \brief This represents '#pragma omp sections' directive.
///
/// \code
/// #pragma omp sections private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp sections' has clauses 'private' with
/// the variables 'a' and 'b' and 'reduction' with operator '+' and variables
/// 'c' and 'd'.
///
class OMPSectionsDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief true if current directive has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPSectionsDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPSectionsDirectiveClass, OMPD_sections,
StartLoc, EndLoc, NumClauses, 1),
HasCancel(false) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPSectionsDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPSectionsDirectiveClass, OMPD_sections,
SourceLocation(), SourceLocation(), NumClauses,
1),
HasCancel(false) {}
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true if current directive has inner directive.
///
static OMPSectionsDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, bool HasCancel);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPSectionsDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSectionsDirectiveClass;
}
};
/// \brief This represents '#pragma omp section' directive.
///
/// \code
/// #pragma omp section
/// \endcode
///
class OMPSectionDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief true if current directive has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPSectionDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPSectionDirectiveClass, OMPD_section,
StartLoc, EndLoc, 0, 1),
HasCancel(false) {}
/// \brief Build an empty directive.
///
explicit OMPSectionDirective()
: OMPExecutableDirective(this, OMPSectionDirectiveClass, OMPD_section,
SourceLocation(), SourceLocation(), 0, 1),
HasCancel(false) {}
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true if current directive has inner directive.
///
static OMPSectionDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AssociatedStmt, bool HasCancel);
/// \brief Creates an empty directive.
///
/// \param C AST context.
///
static OMPSectionDirective *CreateEmpty(const ASTContext &C, EmptyShell);
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSectionDirectiveClass;
}
};
/// \brief This represents '#pragma omp single' directive.
///
/// \code
/// #pragma omp single private(a,b) copyprivate(c,d)
/// \endcode
/// In this example directive '#pragma omp single' has clauses 'private' with
/// the variables 'a' and 'b' and 'copyprivate' with variables 'c' and 'd'.
///
class OMPSingleDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPSingleDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPSingleDirectiveClass, OMPD_single,
StartLoc, EndLoc, NumClauses, 1) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPSingleDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPSingleDirectiveClass, OMPD_single,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPSingleDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPSingleDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSingleDirectiveClass;
}
};
/// \brief This represents '#pragma omp master' directive.
///
/// \code
/// #pragma omp master
/// \endcode
///
class OMPMasterDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPMasterDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPMasterDirectiveClass, OMPD_master,
StartLoc, EndLoc, 0, 1) {}
/// \brief Build an empty directive.
///
explicit OMPMasterDirective()
: OMPExecutableDirective(this, OMPMasterDirectiveClass, OMPD_master,
SourceLocation(), SourceLocation(), 0, 1) {}
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPMasterDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AssociatedStmt);
/// \brief Creates an empty directive.
///
/// \param C AST context.
///
static OMPMasterDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPMasterDirectiveClass;
}
};
/// \brief This represents '#pragma omp critical' directive.
///
/// \code
/// #pragma omp critical
/// \endcode
///
class OMPCriticalDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Name of the directive.
DeclarationNameInfo DirName;
/// \brief Build directive with the given start and end location.
///
/// \param Name Name of the directive.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPCriticalDirective(const DeclarationNameInfo &Name, SourceLocation StartLoc,
SourceLocation EndLoc, unsigned NumClauses)
: OMPExecutableDirective(this, OMPCriticalDirectiveClass, OMPD_critical,
StartLoc, EndLoc, NumClauses, 1),
DirName(Name) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPCriticalDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPCriticalDirectiveClass, OMPD_critical,
SourceLocation(), SourceLocation(), NumClauses,
1),
DirName() {}
/// \brief Set name of the directive.
///
/// \param Name Name of the directive.
///
void setDirectiveName(const DeclarationNameInfo &Name) { DirName = Name; }
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param Name Name of the directive.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPCriticalDirective *
Create(const ASTContext &C, const DeclarationNameInfo &Name,
SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// \brief Creates an empty directive.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPCriticalDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// \brief Return name of the directive.
///
DeclarationNameInfo getDirectiveName() const { return DirName; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPCriticalDirectiveClass;
}
};
/// \brief This represents '#pragma omp parallel for' directive.
///
/// \code
/// #pragma omp parallel for private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp parallel for' has clauses 'private'
/// with the variables 'a' and 'b' and 'reduction' with operator '+' and
/// variables 'c' and 'd'.
///
class OMPParallelForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief true if current region has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPParallelForDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForDirectiveClass, OMPD_parallel_for,
StartLoc, EndLoc, CollapsedNum, NumClauses),
HasCancel(false) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPParallelForDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForDirectiveClass, OMPD_parallel_for,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses),
HasCancel(false) {}
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs, bool HasCancel);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPParallelForDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelForDirectiveClass;
}
};
/// \brief This represents '#pragma omp parallel for simd' directive.
///
/// \code
/// #pragma omp parallel for simd private(a,b) linear(i,j:s) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp parallel for simd' has clauses
/// 'private' with the variables 'a' and 'b', 'linear' with variables 'i', 'j'
/// and linear step 's', 'reduction' with operator '+' and variables 'c' and
/// 'd'.
///
class OMPParallelForSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPParallelForSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForSimdDirectiveClass,
OMPD_parallel_for_simd, StartLoc, EndLoc, CollapsedNum,
NumClauses) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPParallelForSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForSimdDirectiveClass,
OMPD_parallel_for_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPParallelForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPParallelForSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelForSimdDirectiveClass;
}
};
/// \brief This represents '#pragma omp parallel sections' directive.
///
/// \code
/// #pragma omp parallel sections private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp parallel sections' has clauses
/// 'private' with the variables 'a' and 'b' and 'reduction' with operator '+'
/// and variables 'c' and 'd'.
///
class OMPParallelSectionsDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief true if current directive has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPParallelSectionsDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelSectionsDirectiveClass,
OMPD_parallel_sections, StartLoc, EndLoc,
NumClauses, 1),
HasCancel(false) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPParallelSectionsDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelSectionsDirectiveClass,
OMPD_parallel_sections, SourceLocation(),
SourceLocation(), NumClauses, 1),
HasCancel(false) {}
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPParallelSectionsDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, bool HasCancel);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPParallelSectionsDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, EmptyShell);
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelSectionsDirectiveClass;
}
};
/// \brief This represents '#pragma omp task' directive.
///
/// \code
/// #pragma omp task private(a,b) final(d)
/// \endcode
/// In this example directive '#pragma omp task' has clauses 'private' with the
/// variables 'a' and 'b' and 'final' with condition 'd'.
///
class OMPTaskDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief true if this directive has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTaskDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTaskDirectiveClass, OMPD_task, StartLoc,
EndLoc, NumClauses, 1),
HasCancel(false) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTaskDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTaskDirectiveClass, OMPD_task,
SourceLocation(), SourceLocation(), NumClauses,
1),
HasCancel(false) {}
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true, if current directive has inner cancel directive.
///
static OMPTaskDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, bool HasCancel);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTaskDirective *CreateEmpty(const ASTContext &C, unsigned NumClauses,
EmptyShell);
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskDirectiveClass;
}
};
/// \brief This represents '#pragma omp taskyield' directive.
///
/// \code
/// #pragma omp taskyield
/// \endcode
///
class OMPTaskyieldDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPTaskyieldDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPTaskyieldDirectiveClass, OMPD_taskyield,
StartLoc, EndLoc, 0, 0) {}
/// \brief Build an empty directive.
///
explicit OMPTaskyieldDirective()
: OMPExecutableDirective(this, OMPTaskyieldDirectiveClass, OMPD_taskyield,
SourceLocation(), SourceLocation(), 0, 0) {}
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPTaskyieldDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc);
/// \brief Creates an empty directive.
///
/// \param C AST context.
///
static OMPTaskyieldDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskyieldDirectiveClass;
}
};
/// \brief This represents '#pragma omp barrier' directive.
///
/// \code
/// #pragma omp barrier
/// \endcode
///
class OMPBarrierDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPBarrierDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPBarrierDirectiveClass, OMPD_barrier,
StartLoc, EndLoc, 0, 0) {}
/// \brief Build an empty directive.
///
explicit OMPBarrierDirective()
: OMPExecutableDirective(this, OMPBarrierDirectiveClass, OMPD_barrier,
SourceLocation(), SourceLocation(), 0, 0) {}
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPBarrierDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc);
/// \brief Creates an empty directive.
///
/// \param C AST context.
///
static OMPBarrierDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPBarrierDirectiveClass;
}
};
/// \brief This represents '#pragma omp taskwait' directive.
///
/// \code
/// #pragma omp taskwait
/// \endcode
///
class OMPTaskwaitDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPTaskwaitDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPTaskwaitDirectiveClass, OMPD_taskwait,
StartLoc, EndLoc, 0, 0) {}
/// \brief Build an empty directive.
///
explicit OMPTaskwaitDirective()
: OMPExecutableDirective(this, OMPTaskwaitDirectiveClass, OMPD_taskwait,
SourceLocation(), SourceLocation(), 0, 0) {}
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPTaskwaitDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc);
/// \brief Creates an empty directive.
///
/// \param C AST context.
///
static OMPTaskwaitDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskwaitDirectiveClass;
}
};
/// \brief This represents '#pragma omp taskgroup' directive.
///
/// \code
/// #pragma omp taskgroup
/// \endcode
///
class OMPTaskgroupDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPTaskgroupDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPTaskgroupDirectiveClass, OMPD_taskgroup,
StartLoc, EndLoc, 0, 1) {}
/// \brief Build an empty directive.
///
explicit OMPTaskgroupDirective()
: OMPExecutableDirective(this, OMPTaskgroupDirectiveClass, OMPD_taskgroup,
SourceLocation(), SourceLocation(), 0, 1) {}
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTaskgroupDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AssociatedStmt);
/// \brief Creates an empty directive.
///
/// \param C AST context.
///
static OMPTaskgroupDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskgroupDirectiveClass;
}
};
/// \brief This represents '#pragma omp flush' directive.
///
/// \code
/// #pragma omp flush(a,b)
/// \endcode
/// In this example directive '#pragma omp flush' has 2 arguments- variables 'a'
/// and 'b'.
/// 'omp flush' directive does not have clauses but have an optional list of
/// variables to flush. This list of variables is stored within some fake clause
/// FlushClause.
class OMPFlushDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPFlushDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPFlushDirectiveClass, OMPD_flush,
StartLoc, EndLoc, NumClauses, 0) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPFlushDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPFlushDirectiveClass, OMPD_flush,
SourceLocation(), SourceLocation(), NumClauses,
0) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses (only single OMPFlushClause clause is
/// allowed).
///
static OMPFlushDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPFlushDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPFlushDirectiveClass;
}
};
/// \brief This represents '#pragma omp ordered' directive.
///
/// \code
/// #pragma omp ordered
/// \endcode
///
class OMPOrderedDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPOrderedDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPOrderedDirectiveClass, OMPD_ordered,
StartLoc, EndLoc, NumClauses, 1) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPOrderedDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPOrderedDirectiveClass, OMPD_ordered,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPOrderedDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// \brief Creates an empty directive.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPOrderedDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPOrderedDirectiveClass;
}
};
/// \brief This represents '#pragma omp atomic' directive.
///
/// \code
/// #pragma omp atomic capture
/// \endcode
/// In this example directive '#pragma omp atomic' has clause 'capture'.
///
class OMPAtomicDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Used for 'atomic update' or 'atomic capture' constructs. They may
/// have atomic expressions of forms
/// \code
/// x = x binop expr;
/// x = expr binop x;
/// \endcode
/// This field is true for the first form of the expression and false for the
/// second. Required for correct codegen of non-associative operations (like
/// << or >>).
bool IsXLHSInRHSPart;
/// \brief Used for 'atomic update' or 'atomic capture' constructs. They may
/// have atomic expressions of forms
/// \code
/// v = x; <update x>;
/// <update x>; v = x;
/// \endcode
/// This field is true for the first(postfix) form of the expression and false
/// otherwise.
bool IsPostfixUpdate;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPAtomicDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPAtomicDirectiveClass, OMPD_atomic,
StartLoc, EndLoc, NumClauses, 5),
IsXLHSInRHSPart(false), IsPostfixUpdate(false) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPAtomicDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPAtomicDirectiveClass, OMPD_atomic,
SourceLocation(), SourceLocation(), NumClauses,
5),
IsXLHSInRHSPart(false), IsPostfixUpdate(false) {}
/// \brief Set 'x' part of the associated expression/statement.
void setX(Expr *X) { *std::next(child_begin()) = X; }
/// \brief Set helper expression of the form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' or
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
void setUpdateExpr(Expr *UE) { *std::next(child_begin(), 2) = UE; }
/// \brief Set 'v' part of the associated expression/statement.
void setV(Expr *V) { *std::next(child_begin(), 3) = V; }
/// \brief Set 'expr' part of the associated expression/statement.
void setExpr(Expr *E) { *std::next(child_begin(), 4) = E; }
public:
/// \brief Creates directive with a list of \a Clauses and 'x', 'v' and 'expr'
/// parts of the atomic construct (see Section 2.12.6, atomic Construct, for
/// detailed description of 'x', 'v' and 'expr').
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param X 'x' part of the associated expression/statement.
/// \param V 'v' part of the associated expression/statement.
/// \param E 'expr' part of the associated expression/statement.
/// \param UE Helper expression of the form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' or
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
/// \param IsXLHSInRHSPart true if \a UE has the first form and false if the
/// second.
/// \param IsPostfixUpdate true if original value of 'x' must be stored in
/// 'v', not an updated one.
static OMPAtomicDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, Expr *X, Expr *V,
Expr *E, Expr *UE, bool IsXLHSInRHSPart, bool IsPostfixUpdate);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPAtomicDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// \brief Get 'x' part of the associated expression/statement.
Expr *getX() { return cast_or_null<Expr>(*std::next(child_begin())); }
const Expr *getX() const {
return cast_or_null<Expr>(*std::next(child_begin()));
}
/// \brief Get helper expression of the form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' or
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
Expr *getUpdateExpr() {
return cast_or_null<Expr>(*std::next(child_begin(), 2));
}
const Expr *getUpdateExpr() const {
return cast_or_null<Expr>(*std::next(child_begin(), 2));
}
/// \brief Return true if helper update expression has form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' and false if it has form
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
bool isXLHSInRHSPart() const { return IsXLHSInRHSPart; }
/// \brief Return true if 'v' expression must be updated to original value of
/// 'x', false if 'v' must be updated to the new value of 'x'.
bool isPostfixUpdate() const { return IsPostfixUpdate; }
/// \brief Get 'v' part of the associated expression/statement.
Expr *getV() { return cast_or_null<Expr>(*std::next(child_begin(), 3)); }
const Expr *getV() const {
return cast_or_null<Expr>(*std::next(child_begin(), 3));
}
/// \brief Get 'expr' part of the associated expression/statement.
Expr *getExpr() { return cast_or_null<Expr>(*std::next(child_begin(), 4)); }
const Expr *getExpr() const {
return cast_or_null<Expr>(*std::next(child_begin(), 4));
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPAtomicDirectiveClass;
}
};
/// \brief This represents '#pragma omp target' directive.
///
/// \code
/// #pragma omp target if(a)
/// \endcode
/// In this example directive '#pragma omp target' has clause 'if' with
/// condition 'a'.
///
class OMPTargetDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTargetDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDirectiveClass, OMPD_target,
StartLoc, EndLoc, NumClauses, 1) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDirectiveClass, OMPD_target,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTargetDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetDirectiveClass;
}
};
/// \brief This represents '#pragma omp target data' directive.
///
/// \code
/// #pragma omp target data device(0) if(a) map(b[:])
/// \endcode
/// In this example directive '#pragma omp target data' has clauses 'device'
/// with the value '0', 'if' with condition 'a' and 'map' with array
/// section 'b[:]'.
///
class OMPTargetDataDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetDataDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDataDirectiveClass,
OMPD_target_data, StartLoc, EndLoc, NumClauses,
1) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetDataDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDataDirectiveClass,
OMPD_target_data, SourceLocation(),
SourceLocation(), NumClauses, 1) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetDataDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// \brief Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param N The number of clauses.
///
static OMPTargetDataDirective *CreateEmpty(const ASTContext &C, unsigned N,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetDataDirectiveClass;
}
};
/// \brief This represents '#pragma omp target enter data' directive.
///
/// \code
/// #pragma omp target enter data device(0) if(a) map(b[:])
/// \endcode
/// In this example directive '#pragma omp target enter data' has clauses
/// 'device' with the value '0', 'if' with condition 'a' and 'map' with array
/// section 'b[:]'.
///
class OMPTargetEnterDataDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetEnterDataDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetEnterDataDirectiveClass,
OMPD_target_enter_data, StartLoc, EndLoc,
NumClauses, /*NumChildren=*/0) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetEnterDataDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetEnterDataDirectiveClass,
OMPD_target_enter_data, SourceLocation(),
SourceLocation(), NumClauses,
/*NumChildren=*/0) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
///
static OMPTargetEnterDataDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses);
/// \brief Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param N The number of clauses.
///
static OMPTargetEnterDataDirective *CreateEmpty(const ASTContext &C,
unsigned N, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetEnterDataDirectiveClass;
}
};
/// \brief This represents '#pragma omp target exit data' directive.
///
/// \code
/// #pragma omp target exit data device(0) if(a) map(b[:])
/// \endcode
/// In this example directive '#pragma omp target exit data' has clauses
/// 'device' with the value '0', 'if' with condition 'a' and 'map' with array
/// section 'b[:]'.
///
class OMPTargetExitDataDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetExitDataDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetExitDataDirectiveClass,
OMPD_target_exit_data, StartLoc, EndLoc,
NumClauses, /*NumChildren=*/0) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetExitDataDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetExitDataDirectiveClass,
OMPD_target_exit_data, SourceLocation(),
SourceLocation(), NumClauses,
/*NumChildren=*/0) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
///
static OMPTargetExitDataDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses);
/// \brief Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param N The number of clauses.
///
static OMPTargetExitDataDirective *CreateEmpty(const ASTContext &C,
unsigned N, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetExitDataDirectiveClass;
}
};
/// \brief This represents '#pragma omp target parallel' directive.
///
/// \code
/// #pragma omp target parallel if(a)
/// \endcode
/// In this example directive '#pragma omp target parallel' has clause 'if' with
/// condition 'a'.
///
class OMPTargetParallelDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTargetParallelDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetParallelDirectiveClass,
OMPD_target_parallel, StartLoc, EndLoc,
NumClauses, /*NumChildren=*/1) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetParallelDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetParallelDirectiveClass,
OMPD_target_parallel, SourceLocation(),
SourceLocation(), NumClauses,
/*NumChildren=*/1) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetParallelDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTargetParallelDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetParallelDirectiveClass;
}
};
/// \brief This represents '#pragma omp target parallel for' directive.
///
/// \code
/// #pragma omp target parallel for private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp target parallel for' has clauses
/// 'private' with the variables 'a' and 'b' and 'reduction' with operator '+'
/// and variables 'c' and 'd'.
///
class OMPTargetParallelForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief true if current region has inner cancel directive.
bool HasCancel;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetParallelForDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForDirectiveClass,
OMPD_target_parallel_for, StartLoc, EndLoc,
CollapsedNum, NumClauses),
HasCancel(false) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetParallelForDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForDirectiveClass,
OMPD_target_parallel_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses),
HasCancel(false) {}
/// \brief Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPTargetParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs, bool HasCancel);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetParallelForDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
/// \brief Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetParallelForDirectiveClass;
}
};
/// \brief This represents '#pragma omp teams' directive.
///
/// \code
/// #pragma omp teams if(a)
/// \endcode
/// In this example directive '#pragma omp teams' has clause 'if' with
/// condition 'a'.
///
class OMPTeamsDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTeamsDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTeamsDirectiveClass, OMPD_teams,
StartLoc, EndLoc, NumClauses, 1) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTeamsDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTeamsDirectiveClass, OMPD_teams,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTeamsDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTeamsDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTeamsDirectiveClass;
}
};
/// \brief This represents '#pragma omp cancellation point' directive.
///
/// \code
/// #pragma omp cancellation point for
/// \endcode
///
/// In this example a cancellation point is created for innermost 'for' region.
class OMPCancellationPointDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
OpenMPDirectiveKind CancelRegion;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPCancellationPointDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPCancellationPointDirectiveClass,
OMPD_cancellation_point, StartLoc, EndLoc, 0, 0),
CancelRegion(OMPD_unknown) {}
/// \brief Build an empty directive.
///
explicit OMPCancellationPointDirective()
: OMPExecutableDirective(this, OMPCancellationPointDirectiveClass,
OMPD_cancellation_point, SourceLocation(),
SourceLocation(), 0, 0),
CancelRegion(OMPD_unknown) {}
/// \brief Set cancel region for current cancellation point.
/// \param CR Cancellation region.
void setCancelRegion(OpenMPDirectiveKind CR) { CancelRegion = CR; }
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPCancellationPointDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// \brief Creates an empty directive.
///
/// \param C AST context.
///
static OMPCancellationPointDirective *CreateEmpty(const ASTContext &C,
EmptyShell);
/// \brief Get cancellation region for the current cancellation point.
OpenMPDirectiveKind getCancelRegion() const { return CancelRegion; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPCancellationPointDirectiveClass;
}
};
/// \brief This represents '#pragma omp cancel' directive.
///
/// \code
/// #pragma omp cancel for
/// \endcode
///
/// In this example a cancel is created for innermost 'for' region.
class OMPCancelDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
OpenMPDirectiveKind CancelRegion;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPCancelDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPCancelDirectiveClass, OMPD_cancel,
StartLoc, EndLoc, NumClauses, 0),
CancelRegion(OMPD_unknown) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
explicit OMPCancelDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPCancelDirectiveClass, OMPD_cancel,
SourceLocation(), SourceLocation(), NumClauses,
0),
CancelRegion(OMPD_unknown) {}
/// \brief Set cancel region for current cancellation point.
/// \param CR Cancellation region.
void setCancelRegion(OpenMPDirectiveKind CR) { CancelRegion = CR; }
public:
/// \brief Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
///
static OMPCancelDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, OpenMPDirectiveKind CancelRegion);
/// \brief Creates an empty directive.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPCancelDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// \brief Get cancellation region for the current cancellation point.
OpenMPDirectiveKind getCancelRegion() const { return CancelRegion; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPCancelDirectiveClass;
}
};
/// \brief This represents '#pragma omp taskloop' directive.
///
/// \code
/// #pragma omp taskloop private(a,b) grainsize(val) num_tasks(num)
/// \endcode
/// In this example directive '#pragma omp taskloop' has clauses 'private'
/// with the variables 'a' and 'b', 'grainsize' with expression 'val' and
/// 'num_tasks' with expression 'num'.
///
class OMPTaskLoopDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTaskLoopDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopDirectiveClass, OMPD_taskloop,
StartLoc, EndLoc, CollapsedNum, NumClauses) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTaskLoopDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopDirectiveClass, OMPD_taskloop,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTaskLoopDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTaskLoopDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskLoopDirectiveClass;
}
};
/// \brief This represents '#pragma omp taskloop simd' directive.
///
/// \code
/// #pragma omp taskloop simd private(a,b) grainsize(val) num_tasks(num)
/// \endcode
/// In this example directive '#pragma omp taskloop simd' has clauses 'private'
/// with the variables 'a' and 'b', 'grainsize' with expression 'val' and
/// 'num_tasks' with expression 'num'.
///
class OMPTaskLoopSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTaskLoopSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopSimdDirectiveClass,
OMPD_taskloop_simd, StartLoc, EndLoc, CollapsedNum,
NumClauses) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTaskLoopSimdDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopSimdDirectiveClass,
OMPD_taskloop_simd, SourceLocation(), SourceLocation(),
CollapsedNum, NumClauses) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTaskLoopSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTaskLoopSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskLoopSimdDirectiveClass;
}
};
/// \brief This represents '#pragma omp distribute' directive.
///
/// \code
/// #pragma omp distribute private(a,b)
/// \endcode
/// In this example directive '#pragma omp distribute' has clauses 'private'
/// with the variables 'a' and 'b'
///
class OMPDistributeDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeDirectiveClass, OMPD_distribute,
StartLoc, EndLoc, CollapsedNum, NumClauses)
{}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeDirectiveClass, OMPD_distribute,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses)
{}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPDistributeDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeDirectiveClass;
}
};
/// \brief This represents '#pragma omp target update' directive.
///
/// \code
/// #pragma omp target update to(a) from(b) device(1)
/// \endcode
/// In this example directive '#pragma omp target update' has clause 'to' with
/// argument 'a', clause 'from' with argument 'b' and clause 'device' with
/// argument '1'.
///
class OMPTargetUpdateDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetUpdateDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetUpdateDirectiveClass,
OMPD_target_update, StartLoc, EndLoc, NumClauses,
0) {}
/// \brief Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetUpdateDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetUpdateDirectiveClass,
OMPD_target_update, SourceLocation(),
SourceLocation(), NumClauses, 0) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
///
static OMPTargetUpdateDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses);
/// \brief Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses The number of clauses.
///
static OMPTargetUpdateDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetUpdateDirectiveClass;
}
};
/// \brief This represents '#pragma omp distribute parallel for' composite
/// directive.
///
/// \code
/// #pragma omp distribute parallel for private(a,b)
/// \endcode
/// In this example directive '#pragma omp distribute parallel for' has clause
/// 'private' with the variables 'a' and 'b'
///
class OMPDistributeParallelForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// \brief Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeParallelForDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForDirectiveClass,
OMPD_distribute_parallel_for, StartLoc, EndLoc,
CollapsedNum, NumClauses) {}
/// \brief Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeParallelForDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForDirectiveClass,
OMPD_distribute_parallel_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// \brief Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPDistributeParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// \brief Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeParallelForDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeParallelForDirectiveClass;
}
};
/// This represents '#pragma omp distribute parallel for simd' composite
/// directive.
///
/// \code
/// #pragma omp distribute parallel for simd private(x)
/// \endcode
/// In this example directive '#pragma omp distribute parallel for simd' has
/// clause 'private' with the variables 'x'
///
class OMPDistributeParallelForSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeParallelForSimdDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForSimdDirectiveClass,
OMPD_distribute_parallel_for_simd, StartLoc,
EndLoc, CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeParallelForSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForSimdDirectiveClass,
OMPD_distribute_parallel_for_simd,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPDistributeParallelForSimdDirective *Create(
const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeParallelForSimdDirective *CreateEmpty(
const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeParallelForSimdDirectiveClass;
}
};
/// This represents '#pragma omp distribute simd' composite directive.
///
/// \code
/// #pragma omp distribute simd private(x)
/// \endcode
/// In this example directive '#pragma omp distribute simd' has clause
/// 'private' with the variables 'x'
///
class OMPDistributeSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeSimdDirectiveClass,
OMPD_distribute_simd, StartLoc, EndLoc, CollapsedNum,
NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeSimdDirectiveClass,
OMPD_distribute_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPDistributeSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeSimdDirectiveClass;
}
};
/// This represents '#pragma omp target parallel for simd' directive.
///
/// \code
/// #pragma omp target parallel for simd private(a) map(b) safelen(c)
/// \endcode
/// In this example directive '#pragma omp target parallel for simd' has clauses
/// 'private' with the variable 'a', 'map' with the variable 'b' and 'safelen'
/// with the variable 'c'.
///
class OMPTargetParallelForSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetParallelForSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForSimdDirectiveClass,
OMPD_target_parallel_for_simd, StartLoc, EndLoc,
CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetParallelForSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForSimdDirectiveClass,
OMPD_target_parallel_for_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTargetParallelForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetParallelForSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetParallelForSimdDirectiveClass;
}
};
} // end namespace clang
#endif
|
GB_binop__div_int32.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__div_int32)
// A.*B function (eWiseMult): GB (_AemultB_01__div_int32)
// A.*B function (eWiseMult): GB (_AemultB_02__div_int32)
// A.*B function (eWiseMult): GB (_AemultB_03__div_int32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__div_int32)
// A*D function (colscale): GB (_AxD__div_int32)
// D*A function (rowscale): GB (_DxB__div_int32)
// C+=B function (dense accum): GB (_Cdense_accumB__div_int32)
// C+=b function (dense accum): GB (_Cdense_accumb__div_int32)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__div_int32)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__div_int32)
// C=scalar+B GB (_bind1st__div_int32)
// C=scalar+B' GB (_bind1st_tran__div_int32)
// C=A+scalar GB (_bind2nd__div_int32)
// C=A'+scalar GB (_bind2nd_tran__div_int32)
// C type: int32_t
// A type: int32_t
// B,b type: int32_t
// BinaryOp: cij = GB_IDIV_SIGNED (aij, bij, 32)
#define GB_ATYPE \
int32_t
#define GB_BTYPE \
int32_t
#define GB_CTYPE \
int32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int32_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int32_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int32_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_IDIV_SIGNED (x, y, 32) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_DIV || GxB_NO_INT32 || GxB_NO_DIV_INT32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__div_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__div_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__div_int32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__div_int32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int32_t
int32_t bwork = (*((int32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__div_int32)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t *restrict Cx = (int32_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__div_int32)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t *restrict Cx = (int32_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__div_int32)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__div_int32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__div_int32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__div_int32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__div_int32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__div_int32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t *Cx = (int32_t *) Cx_output ;
int32_t x = (*((int32_t *) x_input)) ;
int32_t *Bx = (int32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int32_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_IDIV_SIGNED (x, bij, 32) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__div_int32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int32_t *Cx = (int32_t *) Cx_output ;
int32_t *Ax = (int32_t *) Ax_input ;
int32_t y = (*((int32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int32_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_IDIV_SIGNED (aij, y, 32) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IDIV_SIGNED (x, aij, 32) ; \
}
GrB_Info GB (_bind1st_tran__div_int32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t x = (*((const int32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IDIV_SIGNED (aij, y, 32) ; \
}
GrB_Info GB (_bind2nd_tran__div_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t y = (*((const int32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
SpatialConvolutionMM.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/SpatialConvolutionMM.c"
#else
static inline void THNN_(SpatialConvolutionMM_shapeCheck)(
THTensor *input, THTensor *gradOutput,
THTensor *weight, THTensor *bias,
int kH, int kW, int dH, int dW, int padH, int padW, int weight_nullable) {
THArgCheck(kW > 0 && kH > 0, 9,
"kernel size should be greater than zero, but got kH: %d kW: %d", kH, kW);
THArgCheck(dW > 0 && dH > 0, 11,
"stride should be greater than zero, but got dH: %d dW: %d", dH, dW);
if (weight != NULL) {
THNN_ARGCHECK(weight->nDimension == 2 || weight->nDimension == 4, 5, weight,
"2D or 4D weight tensor expected, but got: %s");
if (bias != NULL) {
THNN_CHECK_DIM_SIZE(bias, 1, 0, weight->size[0]);
}
} else if (!weight_nullable) {
THError("weight tensor is expected to be non-nullable");
}
int ndim = input->nDimension;
int dimf = 0;
int dimh = 1;
int dimw = 2;
if (ndim == 4) {
dimf++;
dimh++;
dimw++;
}
THNN_ARGCHECK(ndim == 3 || ndim == 4, 2, input,
"3D or 4D input tensor expected but got: %s");
int64_t inputHeight = input->size[dimh];
int64_t inputWidth = input->size[dimw];
int64_t exactInputHeight = inputHeight + 2 * padH;
int64_t exactInputWidth = inputWidth + 2 * padW;
if (exactInputHeight < kH || exactInputWidth < kW) {
THError("Calculated padded input size per channel: (%ld x %ld). "
"Kernel size: (%ld x %ld). Kernel size can't greater than actual input size",
exactInputHeight, exactInputWidth, kH, kW);
}
int64_t outputHeight = (exactInputHeight - kH) / dH + 1;
int64_t outputWidth = (exactInputWidth - kW) / dW + 1;
if (outputWidth < 1 || outputHeight < 1) {
THError("Given input size per channel: (%ld x %ld). "
"Calculated output size per channel: (%ld x %ld). Output size is too small",
inputHeight, inputWidth, outputHeight, outputWidth);
}
if (weight != NULL) {
int64_t nInputPlane = weight->size[1];
if (weight->nDimension == 2) {
nInputPlane /= (kH * kW);
}
THNN_CHECK_DIM_SIZE(input, ndim, dimf, nInputPlane);
}
if (gradOutput != NULL) {
if (weight != NULL) {
int64_t nOutputPlane = weight->size[0];
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimf, nOutputPlane);
} else if (bias != NULL) {
int64_t nOutputPlane = bias->size[0];
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimf, nOutputPlane);
}
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimh, outputHeight);
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimw, outputWidth);
}
}
static THTensor* THNN_(newViewWeightMM2d)(THTensor *weight) {
weight = THTensor_(newContiguous)(weight);
if (weight->nDimension == 4) {
int64_t s1 = weight->size[0];
int64_t s2 = weight->size[1] * weight->size[2] * weight->size[3];
THTensor *old_weight = weight;
weight = THTensor_(newWithStorage2d)(weight->storage, weight->storageOffset,
s1, -1, s2, -1);
THTensor_(free)(old_weight);
}
return weight;
}
static void THNN_(SpatialConvolutionMM_updateOutput_frame)(
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH,
int64_t nInputPlane,
int64_t inputWidth,
int64_t inputHeight,
int64_t nOutputPlane,
int64_t outputWidth,
int64_t outputHeight)
{
int64_t i;
THTensor *output2d;
THNN_(unfolded_copy)(finput, input, kW, kH, dW, dH, padW, padH,
nInputPlane, inputWidth, inputHeight,
outputWidth, outputHeight);
output2d = THTensor_(newWithStorage2d)(output->storage, output->storageOffset,
nOutputPlane, -1,
outputHeight*outputWidth, -1);
if (bias) {
for(i = 0; i < nOutputPlane; i++)
THVector_(fill)
(output->storage->data + output->storageOffset + output->stride[0] * i,
THTensor_(get1d)(bias, i), outputHeight*outputWidth);
} else {
THTensor_(zero)(output);
}
THTensor_(addmm)(output2d, 1, output2d, 1, weight, finput);
THTensor_(free)(output2d);
}
void THNN_(SpatialConvolutionMM_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH)
{
weight = THNN_(newViewWeightMM2d)(weight);
THNN_(SpatialConvolutionMM_shapeCheck)
(input, NULL, weight, bias, kH, kW, dH, dW, padH, padW, 0);
input = THTensor_(newContiguous)(input);
int ndim = input->nDimension;
int dimf = 0;
int dimh = 1;
int dimw = 2;
if (ndim == 4) {
dimf++;
dimh++;
dimw++;
}
int64_t nInputPlane = input->size[dimf];
int64_t inputHeight = input->size[dimh];
int64_t inputWidth = input->size[dimw];
int64_t nOutputPlane = weight->size[0];
int64_t outputHeight = (inputHeight + 2*padH - kH) / dH + 1;
int64_t outputWidth = (inputWidth + 2*padW - kW) / dW + 1;
if(input->nDimension == 3)
{
THTensor_(resize2d)(finput, kW*kH*nInputPlane, outputHeight*outputWidth);
THTensor_(resize3d)(output, nOutputPlane, outputHeight, outputWidth);
THNN_(SpatialConvolutionMM_updateOutput_frame)
(input, output, weight, bias, finput,
kW, kH, dW, dH, padW, padH,
nInputPlane, inputWidth, inputHeight,
nOutputPlane, outputWidth, outputHeight);
}
else
{
int64_t T = input->size[0];
int64_t t;
THTensor_(resize3d)(finput, T, kW*kH*nInputPlane, outputHeight*outputWidth);
THTensor_(resize4d)(output, T, nOutputPlane, outputHeight, outputWidth);
#pragma omp parallel for private(t)
for(t = 0; t < T; t++)
{
THTensor *input_t = THTensor_(newSelect)(input, 0, t);
THTensor *output_t = THTensor_(newSelect)(output, 0, t);
THTensor *finput_t = THTensor_(newSelect)(finput, 0, t);
THNN_(SpatialConvolutionMM_updateOutput_frame)
(input_t, output_t, weight, bias, finput_t,
kW, kH, dW, dH, padW, padH,
nInputPlane, inputWidth, inputHeight,
nOutputPlane, outputWidth, outputHeight);
THTensor_(free)(input_t);
THTensor_(free)(output_t);
THTensor_(free)(finput_t);
}
}
THTensor_(free)(input);
THTensor_(free)(weight);
}
static void THNN_(SpatialConvolutionMM_updateGradInput_frame)(
THTensor *gradInput,
THTensor *gradOutput,
THTensor *weight,
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH)
{
THTensor *gradOutput2d = THTensor_(newWithStorage2d)
(gradOutput->storage, gradOutput->storageOffset,
gradOutput->size[0], -1,
gradOutput->size[1]*gradOutput->size[2], -1);
THTensor_(addmm)(fgradInput, 0, fgradInput, 1, weight, gradOutput2d);
THTensor_(free)(gradOutput2d);
THTensor_(zero)(gradInput);
THNN_(unfolded_acc)(fgradInput, gradInput, kW, kH, dW, dH,
padW, padH,
gradInput->size[0], gradInput->size[2], gradInput->size[1],
gradOutput->size[2], gradOutput->size[1]);
}
void THNN_(SpatialConvolutionMM_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *finput,
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH)
{
weight = THNN_(newViewWeightMM2d)(weight);
THNN_(SpatialConvolutionMM_shapeCheck)
(input, gradOutput, weight, NULL, kH, kW, dH, dW, padH, padW, 0);
input = THTensor_(newContiguous)(input);
gradOutput = THTensor_(newContiguous)(gradOutput);
THTensor_(resizeAs)(gradInput, input);
THTensor_(resizeAs)(fgradInput, finput);
// depending on the BLAS library, fgradInput (result tensor) might
// be left uninitialized on zero alpha, which might lead to weird behavior
// hence, to be safe, zero it
THTensor_(zero)(fgradInput);
THTensor *tweight = THTensor_(new)();
THTensor_(transpose)(tweight, weight, 0, 1);
if(input->nDimension == 3)
{
THNN_(SpatialConvolutionMM_updateGradInput_frame)(gradInput, gradOutput,
tweight, fgradInput,
kW, kH, dW, dH, padW, padH);
}
else
{
int64_t T = input->size[0];
int64_t t;
#pragma omp parallel for private(t)
for(t = 0; t < T; t++)
{
THTensor *gradInput_t = THTensor_(newSelect)(gradInput, 0, t);
THTensor *gradOutput_t = THTensor_(newSelect)(gradOutput, 0, t);
THTensor *fgradInput_t = THTensor_(newSelect)(fgradInput, 0, t);
THNN_(SpatialConvolutionMM_updateGradInput_frame)(gradInput_t, gradOutput_t,
tweight, fgradInput_t,
kW, kH, dW, dH, padW, padH);
THTensor_(free)(gradInput_t);
THTensor_(free)(gradOutput_t);
THTensor_(free)(fgradInput_t);
}
}
THTensor_(free)(tweight);
THTensor_(free)(input);
THTensor_(free)(gradOutput);
THTensor_(free)(weight);
}
static void THNN_(SpatialConvolutionMM_accGradParameters_frame)(
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
real scale)
{
int64_t i;
THTensor *gradOutput2d = THTensor_(newWithStorage2d)
(gradOutput->storage, gradOutput->storageOffset,
gradOutput->size[0], -1,
gradOutput->size[1]*gradOutput->size[2], -1);
if (gradWeight) {
THTensor *tfinput = THTensor_(new)();
THTensor_(transpose)(tfinput, finput, 0, 1);
THTensor_(addmm)(gradWeight, 1, gradWeight, scale, gradOutput2d, tfinput);
THTensor_(free)(tfinput);
}
if (gradBias) {
for(i = 0; i < gradBias->size[0]; i++)
{
int64_t k;
real sum = 0;
real *data = gradOutput2d->storage->data + gradOutput2d->storageOffset + i*gradOutput2d->stride[0];
for(k = 0; k < gradOutput2d->size[1]; k++)
sum += data[k];
(gradBias->storage->data + gradBias->storageOffset)[i] += scale*sum;
}
}
THTensor_(free)(gradOutput2d);
}
void THNN_(SpatialConvolutionMM_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput, // can be NULL if gradWeight = NULL
THTensor *fgradInput,
int kW,
int kH,
int dW,
int dH,
int padW,
int padH,
accreal scale_)
{
real scale = TH_CONVERT_ACCREAL_TO_REAL(scale_);
if (gradWeight) {
THArgCheck(THTensor_(isContiguous)(gradWeight), 4, "gradWeight needs to be contiguous");
gradWeight = THNN_(newViewWeightMM2d)(gradWeight);
}
if (gradBias) {
THArgCheck(THTensor_(isContiguous)(gradBias), 5, "gradBias needs to be contiguous");
}
THNN_(SpatialConvolutionMM_shapeCheck)
(input, gradOutput, gradWeight, gradBias, kH, kW, dH, dW, padH, padW, 1);
input = THTensor_(newContiguous)(input);
gradOutput = THTensor_(newContiguous)(gradOutput);
if(input->nDimension == 3)
{
THNN_(SpatialConvolutionMM_accGradParameters_frame)(gradOutput, gradWeight,
gradBias, finput, scale);
}
else
{
int64_t T = input->size[0];
int64_t t;
for(t = 0; t < T; t++)
{
THTensor *gradOutput_t = THTensor_(newSelect)(gradOutput, 0, t);
THTensor *finput_t = NULL;
if (gradWeight) {
finput_t = THTensor_(newSelect)(finput, 0, t);
}
THNN_(SpatialConvolutionMM_accGradParameters_frame)(gradOutput_t, gradWeight,
gradBias, finput_t, scale);
THTensor_(free)(gradOutput_t);
if (gradWeight) {
THTensor_(free)(finput_t);
}
}
}
THTensor_(free)(input);
THTensor_(free)(gradOutput);
if (gradWeight) {
THTensor_(free)(gradWeight);
}
}
#endif
|
run_dft_omp.c | #include "dft.h"
#include <omp.h>
#define MASTER 0
#define NTHREADS 8
int main(int argc, char* argv[])
{
int_t len = 0, reps = 0;
#ifdef N
len = (int_t) N;
#else
if(argc > 1)
{
len = (int_t) atoi(argv[1]);
}
else
{
fprintf(stderr, "ERROR: N is undefined and the input length is not submitted.\n");
return EXIT_FAILURE;
}
#endif
#ifdef R
reps = (int_t) R;
#else
if(argc > 2)
{
reps = (int_t) atoi(argv[2]);
}
else
{
fprintf(stderr, "ERROR: R is undefined and number of repetitions is not submitted.\n");
return EXIT_FAILURE;
}
#endif
#pragma omp parallel // num_threads(NTHREADS) proc_bind(spread)
{
int tid = omp_get_thread_num();
/* time measurement */
double t1 = 0.0, t2 = 0.0, total1 = 0.0, total2 = 0.0;
if(tid == MASTER)
{
t1 = get_time();
}
struct ft_data_t *data = calloc (1, sizeof(*data));
/*
TODO: implement an "and"-reduction to ensure that all
threads have initialised their data properly
*/
if(init(data, len) == EXIT_SUCCESS)
{
/* initialising input array with generated data */
setdist_c(data->inout_c, data->len);
if(tid == MASTER)
{
t2 = get_time();
printf("OMP-Version with %d threads\n", omp_get_num_threads());
printf("compiler: %s, problem size: %lu (elements) with real_t = %lu bytes, iterations: %lu\n", COMPILER, (unsigned long) data->len, sizeof(real_t), (unsigned long) reps);
printf("init: %.16f\n", t2 - t1);
#ifdef PRINT_RESULTS
char *f_o = "out/dft_original.txt";
c2r(data->inout_c, data->in_r, data->len);
PRINTR(data->in_r, data->len, f_o);
#endif
total1 = get_time();
}
#pragma omp for
for(int_t i = 0; i < reps; ++i)
{
t1 = get_time();
dft(data->inout_c, data->inout2_c, data->len);
dft(data->inout2_c, data->inout_c, data->len);
norm_c(data->inout_c, data->len, data->len);
t2 = get_time();
}
printf("tid: %lu, time: %.16f\n", (unsigned long)tid, (t2 - t1));
if(tid == MASTER)
{
total2 = get_time();
printf("total dft runtime: %.16f\n", (total2 - total1));
#ifdef PRINT_RESULTS
char *f_r = "out/dft_restored.txt";
c2r(data->inout_c, data->out_r, data->len);
PRINTR(data->out_r, data->len, f_r);
#endif
}
} /* end of init-success */
else
{
fprintf(stderr, "ERROR: thread %d has failed initialisation.\n", tid);
}
/* finalise */
cleanup(data);
free(data);
} /* omp parallel */
return EXIT_SUCCESS;
}
|
subCycleHex3D.c | /*
The MIT License (MIT)
Copyright (c) 2017 Tim Warburton, Noel Chalmers, Jesse Chan, Ali Karakus
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
*/
extern "C" void FUNC(subCycleStrongCubatureVolumeHex3D)(const int & Nelements,
const int * __restrict__ elementList,
const dfloat * __restrict__ cubD,
const dfloat * __restrict__ cubInterpT,
const int & offset,
const int & cubatureOffset,
const int & NSOffset,
const dfloat * __restrict__ invLumpedMassMatrix,
const dfloat * __restrict__ BdivW,
const dfloat & c0,
const dfloat & c1,
const dfloat & c2,
const dfloat * __restrict__ conv,
const dfloat * __restrict__ S,
dfloat * __restrict__ NU) {
// (phi, U.grad Ud)
dfloat r_c[3] = {c0, c1,c2};
dfloat s_cubD[p_cubNq][p_cubNq];
dfloat s_cubInterpT[p_Nq][p_cubNq];
dfloat s_U[p_cubNq][p_cubNq];
dfloat s_Ud[p_cubNq][p_cubNq];
dfloat s_Ud1[p_Nq][p_cubNq];
dfloat r_U2[p_cubNq][p_cubNq][p_cubNq];
dfloat r_Ud[p_cubNq][p_cubNq][p_cubNq];
#pragma unroll
for (int j = 0; j < p_cubNq; ++j) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
const int id = i + j * p_cubNq;
if (id < p_Nq * p_cubNq) {
s_cubInterpT[j][i] = cubInterpT[id];
}
s_cubD[j][i] = cubD[id];
}
}
#ifdef __NEKRS__OMP__
#pragma omp parallel for private(s_U, s_Ud, s_Ud1, r_U2, r_Ud)
#endif
for (int e = 0; e < Nelements; ++e) {
const int element = elementList[e];
#pragma unroll
for (int j = 0; j < p_cubNq; ++j) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
#pragma unroll
for (int k = 0; k < p_cubNq; ++k) {
r_Ud[j][i][k] = 0;
}
}
}
#pragma unroll
for (int c = 0; c < p_Nq; ++c) {
#pragma unroll
for (int b = 0; b < p_Nq; ++b) {
#pragma unroll
for (int a = 0; a < p_Nq; ++a) {
// this can be improved
const int id = element * p_Np + c * p_Nq * p_Nq + b * p_Nq + a;
s_Ud[b][a] = S[id];
}
}
// interpolate in 'r'
#pragma unroll
for (int b = 0; b < p_Nq; ++b) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
dfloat Ud1 = 0;
#pragma unroll
for (int a = 0; a < p_Nq; ++a) {
dfloat Iia = s_cubInterpT[a][i];
Ud1 += Iia * s_Ud[b][a];
}
s_Ud1[b][i] = Ud1;
}
}
// interpolate in 's'
#pragma unroll
for (int j = 0; j < p_cubNq; ++j) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
dfloat Ud2 = 0;
// interpolate in b
#pragma unroll
for (int b = 0; b < p_Nq; ++b) {
dfloat Ijb = s_cubInterpT[b][j];
Ud2 += Ijb * s_Ud1[b][i];
}
// interpolate in c progressively
#pragma unroll
for (int k = 0; k < p_cubNq; ++k) {
dfloat Ikc = s_cubInterpT[c][k];
r_Ud[j][i][k] += Ikc * Ud2;
}
}
}
}
// Uhat * dr
#pragma unroll p_cubNq
for (int j = 0; j < p_cubNq; ++j) {
#pragma unroll
for (int k = 0; k < p_cubNq; ++k) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
dfloat Udr = 0;
#pragma unroll
for (int n = 0; n < p_cubNq; ++n) {
dfloat Din = s_cubD[i][n];
Udr += Din * r_Ud[j][n][k];
}
dfloat Uhat = 0.0;
const int id = element * p_cubNp + k * p_cubNq * p_cubNq + j * p_cubNq + i;
#pragma unroll
for (int s = 0; s < p_nEXT; ++s) {
const int s_offset = s * p_NVfields * cubatureOffset;
const dfloat coeff = r_c[s];
Uhat += coeff * conv[id + 0 * cubatureOffset + s_offset];
}
// U*dUdx + V*dUdy + W*dUdz = (U*(drdx*dUdr+dsdx*dUds+dtdx*dUdt) + V*(drdy*dUdr ..))
// I_f^t*(J_f*C_f^t)*G_f*\hat{D}_f*I_f*u
r_U2[j][i][k] = Uhat * Udr;
}
}
}
// Vhat * ds
#pragma unroll p_cubNq
for (int j = 0; j < p_cubNq; ++j) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
#pragma unroll
for (int k = 0; k < p_cubNq; ++k) {
dfloat Uds = 0;
#pragma unroll
for (int n = 0; n < p_cubNq; ++n) {
dfloat Djn = s_cubD[j][n];
Uds += Djn * r_Ud[n][i][k];
}
dfloat Vhat = 0.0;
const int id = element * p_cubNp + k * p_cubNq * p_cubNq + j * p_cubNq + i;
#pragma unroll
for (int s = 0; s < p_nEXT; ++s) {
const int s_offset = s * p_NVfields * cubatureOffset;
const dfloat coeff = r_c[s];
Vhat += coeff * conv[id + 1 * cubatureOffset + s_offset];
}
// U*dUdx + V*dUdy + W*dUdz = (U*(drdx*dUdr+dsdx*dUds+dtdx*dUdt) + V*(drdy*dUdr ..))
// I_f^t*(J_f*C_f^t)*G_f*\hat{D}_f*I_f*u
r_U2[j][i][k] += Vhat * Uds;
}
}
}
// What * dt
#pragma unroll p_cubNq
for (int j = 0; j < p_cubNq; ++j) {
#pragma unroll
for (int k = 0; k < p_cubNq; ++k) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
dfloat Udt = 0;
#pragma unroll
for (int n = 0; n < p_cubNq; ++n) {
dfloat Dkn = s_cubD[k][n];
Udt += Dkn * r_Ud[j][i][n];
}
dfloat What = 0.0;
const int id = element * p_cubNp + k * p_cubNq * p_cubNq + j * p_cubNq + i;
#pragma unroll
for (int s = 0; s < p_nEXT; ++s) {
const int s_offset = s * p_NVfields * cubatureOffset;
const dfloat coeff = r_c[s];
What += coeff * conv[id + 2 * cubatureOffset + s_offset];
}
// U*dUdx + V*dUdy + W*dUdz = (U*(drdx*dUdr+dsdx*dUds+dtdx*dUdt) + V*(drdy*dUdr ..))
// I_f^t*(J_f*C_f^t)*G_f*\hat{D}_f*I_f*u
r_U2[j][i][k] += What * Udt;
}
}
}
// now project back in t
#pragma unroll
for (int c = 0; c < p_Nq; ++c) {
#pragma unroll
for (int j = 0; j < p_cubNq; ++j) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
dfloat rhsU = 0;
#pragma unroll
for (int k = 0; k < p_cubNq; ++k) {
dfloat Ikc = s_cubInterpT[c][k];
rhsU += Ikc * r_U2[j][i][k];
}
s_U[j][i] = rhsU;
}
}
#pragma unroll
for (int b = 0; b < p_Nq; ++b) {
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
dfloat rhsU = 0;
#pragma unroll
for (int j = 0; j < p_cubNq; ++j) {
dfloat Ijb = s_cubInterpT[b][j];
rhsU += Ijb * s_U[j][i];
}
s_Ud[b][i] = rhsU;
}
}
#pragma unroll
for (int b = 0; b < p_Nq; ++b) {
#pragma unroll
for (int a = 0; a < p_Nq; ++a) {
dfloat rhsU = 0;
#pragma unroll
for (int i = 0; i < p_cubNq; ++i) {
dfloat Iia = s_cubInterpT[a][i];
rhsU += Iia * s_Ud[b][i];
}
const int id = element * p_Np + c * p_Nq * p_Nq + b * p_Nq + a;
dfloat invLMM = p_MovingMesh ? 0.0 : invLumpedMassMatrix[id];
dfloat bdivw = 0.0;
if (p_MovingMesh) {
#pragma unroll
for (int s = 0; s < p_nEXT; s++) {
const dfloat coeff = r_c[s];
invLMM += coeff * invLumpedMassMatrix[id + s * offset];
bdivw += coeff * BdivW[id + s * offset];
}
}
NU[id + NSOffset] = (rhsU - bdivw * S[id]) * invLMM;
}
}
}
}
}
|
FirstProgram.c | #include<stdio.h>
#include<omp.h>
int main(){
const int T = 10000;
int sum;
sum = 0;
// Simple accumulation loop
// (Note in Fortran we can use a built-in for this, but
// ignore that for this demo)
#pragma omp parallel for reduction(+:sum)
for(int i = 1; i <= T; i++){
sum = sum + i;
}
printf("Loop gave %i\n", sum);
printf("Answer should be %i\n", T*(T+1)/2);
}
|
convolution_1x1_int8.h | // BUG1989 is pleased to support the open source community by supporting ncnn available.
//
// Copyright (C) 2019 BUG1989. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void conv1x1s1_int8_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* kernel = _kernel;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
int q = 0;
for (; q + 7 < inch; q += 8)
{
int* outptr0 = out0;
const signed char* kernel0 = (const signed char*)kernel + p * inch + q;
const signed char* r0 = bottom_blob.channel(q);
const signed char* r1 = bottom_blob.channel(q + 1);
const signed char* r2 = bottom_blob.channel(q + 2);
const signed char* r3 = bottom_blob.channel(q + 3);
const signed char* r4 = bottom_blob.channel(q + 4);
const signed char* r5 = bottom_blob.channel(q + 5);
const signed char* r6 = bottom_blob.channel(q + 6);
const signed char* r7 = bottom_blob.channel(q + 7);
int size = outw * outh;
int remain = size;
for (; remain > 0; remain--)
{
//ToDo Neon
int sum0 = (int)*r0 * (int)kernel0[0] + (int)*r1 * (int)kernel0[1] + (int)*r2 * (int)kernel0[2] + (int)*r3 * (int)kernel0[3] + (int)*r4 * (int)kernel0[4] + (int)*r5 * (int)kernel0[5] + (int)*r6 * (int)kernel0[6] + (int)*r7 * (int)kernel0[7];
*outptr0 += sum0;
r0++;
r1++;
r2++;
r3++;
r4++;
r5++;
r6++;
r7++;
outptr0++;
}
}
for (; q < inch; q++)
{
int* outptr0 = out0;
const signed char* r0 = bottom_blob.channel(q);
const signed char* kernel0 = (const signed char*)kernel + p * inch + q;
const signed char k0 = kernel0[0];
int size = outw * outh;
int remain = size;
for (; remain > 0; remain--)
{
int sum0 = (int)(*r0) * (int)k0;
*outptr0 += sum0;
r0++;
outptr0++;
}
}
}
}
static void conv1x1s2_int8_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int w = bottom_blob.w;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2 * outw + w;
const signed char* kernel = _kernel;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
int q = 0;
for (; q + 7 < inch; q += 8)
{
int* outptr0 = out0;
const signed char* kernel0 = (const signed char*)kernel + p * inch + q;
const signed char* r0 = bottom_blob.channel(q);
const signed char* r1 = bottom_blob.channel(q + 1);
const signed char* r2 = bottom_blob.channel(q + 2);
const signed char* r3 = bottom_blob.channel(q + 3);
const signed char* r4 = bottom_blob.channel(q + 4);
const signed char* r5 = bottom_blob.channel(q + 5);
const signed char* r6 = bottom_blob.channel(q + 6);
const signed char* r7 = bottom_blob.channel(q + 7);
for (int i = 0; i < outh; i++)
{
int remain = outw;
for (; remain > 0; remain--)
{
//ToDo Neon
int sum0 = (int)*r0 * (int)kernel0[0] + (int)*r1 * (int)kernel0[1] + (int)*r2 * (int)kernel0[2] + (int)*r3 * (int)kernel0[3] + (int)*r4 * (int)kernel0[4] + (int)*r5 * (int)kernel0[5] + (int)*r6 * (int)kernel0[6] + (int)*r7 * (int)kernel0[7];
*outptr0 += sum0;
r0 += 2;
r1 += 2;
r2 += 2;
r3 += 2;
r4 += 2;
r5 += 2;
r6 += 2;
r7 += 2;
outptr0++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
r3 += tailstep;
r4 += tailstep;
r5 += tailstep;
r6 += tailstep;
r7 += tailstep;
}
}
for (; q < inch; q++)
{
int* outptr0 = out0;
const signed char* r0 = bottom_blob.channel(q);
const signed char* kernel0 = (const signed char*)kernel + p * inch + q;
for (int i = 0; i < outh; i++)
{
int remain = outw;
for (; remain > 0; remain--)
{
//ToDo Neon
int sum0 = (int)*r0 * (int)kernel0[0];
*outptr0 += sum0;
r0 += 2;
outptr0++;
}
r0 += tailstep;
}
}
}
}
|
GB_unop__atanh_fp32_fp32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__atanh_fp32_fp32)
// op(A') function: GB (_unop_tran__atanh_fp32_fp32)
// C type: float
// A type: float
// cast: float cij = aij
// unaryop: cij = atanhf (aij)
#define GB_ATYPE \
float
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = atanhf (x) ;
// casting
#define GB_CAST(z, aij) \
float z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
float aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
float z = aij ; \
Cx [pC] = atanhf (z) ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ATANH || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__atanh_fp32_fp32)
(
float *Cx, // Cx and Ax may be aliased
const float *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
// TODO: if OP is ONE and uniform-valued matrices are exploited, then
// do this in O(1) time
if (Ab == NULL)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (float), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
float aij = Ax [p] ;
float z = aij ;
Cx [p] = atanhf (z) ;
}
#endif
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
float aij = Ax [p] ;
float z = aij ;
Cx [p] = atanhf (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__atanh_fp32_fp32)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
tiling-1.c | /*
matmul.c : Matrix Multiplication with tiling for openmp4 example
*/
#include <stdlib.h>
#include <math.h>
#define BLOCK_SIZE 16
/*
#define BLOCK_SIZE 32
*/
#define NSECPERSEC 1000000000L
typedef struct {
int width;
int height;
int stride;
int hpad;
float* elements;
} Matrix;
/* Correctly extract the number of nanoseconds from the two time structures */
long int get_nanosecs( struct timespec start_time, struct timespec end_time) {
long int nanosecs;
if ((end_time.tv_nsec-start_time.tv_nsec)<0) nanosecs =
((((long int) end_time.tv_sec- (long int) start_time.tv_sec )-1)*NSECPERSEC ) +
( NSECPERSEC + (long int) end_time.tv_nsec - (long int) start_time.tv_nsec) ;
else nanosecs =
(((long int) end_time.tv_sec- (long int) start_time.tv_sec )*NSECPERSEC ) +
( (long int) end_time.tv_nsec - (long int) start_time.tv_nsec );
return nanosecs;
}
void simple_sgemm_tt(const int M,const int N,const int K,const float alpha, const float* A,const int LDA,
const float* B,const int LDB, const float beta,float* C, const int LDC) ;
void simple_sgemm_tn(const int M,const int N,const int K,const float alpha, const float* A,const int LDA,
const float* B,const int LDB, const float beta,float* C, const int LDC) ;
void tiled_sgemm_tt(const int M,const int N,const int K,const float alpha, const float*A, const int LDA,
const float* B,const int LDB, const float beta,float* C, const int LDC) ;
int verify(float* v_res, float* v_ref, int len) {
int passed = 1;
int i;
for (i = 0; i < len; ++i) {
if (fabs(v_res[i] - v_ref[i]) > 0.001*v_ref[i]) {
__builtin_abort ();
}
}
return passed;
}
int main(int argc, char* argv[]){
Matrix A,B,Bt,C,Cref;
int a1,a2,a3,i,j;
struct timespec start_time1, end_time1;
struct timespec start_time2, end_time2;
long int nanosecs,total_ops;
float gflopsTiled,gflopsCPU;
a1 = 35;
a2 = 28;
a3 = 47;
A.height = a1;
A.width = a2;
A.stride = (((A.width-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
A.hpad = (((A.height-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
A.elements = (float*)malloc(A.stride * A.hpad* sizeof(float));
B.height = a2;
B.width = a3;
B.stride = (((B.width-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
B.hpad = (((B.height-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
B.elements = (float*)malloc(B.stride * B.hpad * sizeof(float));
/* Bt is same as B but stored in column-major order */
Bt.height = B.height;
Bt.width = B.width;
Bt.stride = B.stride;
Bt.hpad = B.hpad;
Bt.elements = (float*)malloc(Bt.stride * Bt.hpad * sizeof(float));
C.height = a1;
C.width = a3;
C.stride = (((C.width-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
C.hpad = (((C.height-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
C.elements = (float*)malloc(C.stride * C.hpad * sizeof(float));
Cref.height = a1;
Cref.width = a3;
Cref.stride = (((Cref.width-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
Cref.hpad = (((Cref.height-1)/BLOCK_SIZE)+1) * BLOCK_SIZE;
Cref.elements = (float*)malloc(Cref.stride * Cref.hpad * sizeof(float));
for(i = 0; i < A.hpad ; i++)
for(j = 0; j < A.stride; j++) {
if (( j<A.width ) && (i<A.height)) {
A.elements[i*A.stride + j] = (i % 3);
} else {
A.elements[i*A.stride + j] = 0.0;
}
}
/* Initialize B and Bt */
for(i = 0; i < B.hpad ; i++)
for(j = 0; j < B.stride; j++) {
if (( j<B.width ) && (i<B.height)) {
B.elements[i*B.stride+j] = (j % 2);
Bt.elements[j*Bt.stride+i] = B.elements[i*B.stride+j] ;
} else {
B.elements[i*B.stride+j] = 0.0;
Bt.elements[j*Bt.stride+i] = 0.0;
}
}
/* zero C, and Cref */
for(i = 0; i < C.hpad; i++)
for(j = 0; j < C.stride; j++) {
C.elements[i*C.stride+j] = 0.0;
Cref.elements[i*Cref.stride+j] = 0.0;
}
simple_sgemm_tt(A.height,B.width,B.height,1.0,A.elements,A.stride,B.elements,B.stride,1.0,Cref.elements,Cref.stride);
tiled_sgemm_tt(A.height,B.width,B.height,1.0,A.elements,A.stride,B.elements,B.stride,1.0,C.elements,C.stride);
verify(C.elements, Cref.elements, C.height * C.stride);
return 0;
}
void simple_sgemm_tt(const int M,const int N,const int K,const float alpha, const float* A,const int LDA,
const float* B,const int LDB, const float beta,float* C, const int LDC) {
/* A,B, and C are in row-major order */
int c_row,c_col,inner;
float sum;
for (c_col = 0 ; c_col<N; c_col++ ) {
for (c_row = 0 ; c_row<M; c_row++ ) {
sum = 0.0 ;
for (inner = 0 ; inner<K; inner++ ) {
sum += A[c_row*LDA + inner] * B[inner*LDB + c_col] ;
}
C[c_row*LDC + c_col] = alpha*sum + beta*C[ c_row*LDC + c_col] ;
}
}
}
/***************************
tiled_sgemm_tt: Tiled matrix multiplication:
***************************/
void tiled_sgemm_tt(const int M, const int N, const int K, const float alpha, const float*A, const int LDA,
const float*B, const int LDB, const float beta, float*C, const int LDC){
#pragma omp target teams map(to:A[M*K],B[K*N]) map(from:C[M*N])
#pragma omp distribute collapse(2)
for (int C_row_start=0 ; C_row_start < M ; C_row_start+=BLOCK_SIZE)
for (int C_col_start=0 ; C_col_start < N ; C_col_start+=BLOCK_SIZE)
{
// Each team has a local copy of these mini matrices
float As[BLOCK_SIZE][BLOCK_SIZE];
float Bs[BLOCK_SIZE][BLOCK_SIZE];
#pragma omp parallel
{
int C_row, C_col;
float Cval = 0.0;
for (int kblock = 0; kblock < K ; kblock += BLOCK_SIZE )
{
#pragma omp for collapse(2)
for (int row=0 ; row < BLOCK_SIZE ; row++)
for (int col=0 ; col < BLOCK_SIZE ; col++)
{
C_row = C_row_start + row;
C_col = C_col_start + col;
if ((C_row < M) && (kblock + col < K))
As[row][col] = A[(C_row*LDA)+ kblock + col];
else
As[row][col] = 0;
if ((kblock + row < K) && C_col < N)
Bs[row][col] = B[((kblock+row)*LDB)+ C_col];
else
Bs[row][col] = 0;
}
#pragma omp for collapse(2)
for (int row=0 ; row < BLOCK_SIZE ; row++)
for (int col=0 ; col < BLOCK_SIZE ; col++)
{
for (int e = 0; e < BLOCK_SIZE; ++e)
Cval += As[row][e] * Bs[e][col];
}
} /* End for kblock .. */
#pragma omp for collapse(2)
for (int row=0 ; row < BLOCK_SIZE ; row++)
for (int col=0 ; col < BLOCK_SIZE ; col++)
{
C_row = C_row_start + row;
C_col = C_col_start + col;
if ((C_row < M) && (C_col < N))
C[(C_row*LDC)+C_col] = alpha*Cval + beta*C[(C_row*LDC)+C_col];
}
} /* end parallel */
} /* end target teams distribute */
}
|
pr25990.c | /* { dg-do compile } */
/* { dg-options "-fopenmp -O2 -std=c99" } */
typedef __SIZE_TYPE__ size_t;
typedef struct {
int _flags;
} FILE;
extern FILE *fopen (__const char *__restrict __filename,
__const char *__restrict __modes);
extern size_t fread (void *__restrict __ptr, size_t __size,
size_t __n, FILE *__restrict __stream) ;
extern int fclose (FILE *__stream);
extern size_t fwrite (__const void *__restrict __ptr, size_t __size,
size_t __n, FILE *__restrict __s) ;
extern void *malloc (size_t __size) __attribute__ ((__nothrow__)) __attribute__ ((__malloc__)) ;
extern size_t strlen (__const char *__s)
__attribute__ ((__nothrow__)) __attribute__ ((__pure__)) __attribute__ ((__nonnull__ (1)));
extern int strncmp (__const char *__s1, __const char *__s2, size_t __n)
__attribute__ ((__nothrow__)) __attribute__ ((__pure__)) __attribute__ ((__nonnull__ (1, 2)));
extern int __attribute__ ((__nothrow__)) atoi (__const char *__nptr);
extern float cabsf (float _Complex __z) __attribute__ ((__nothrow__)); extern float __cabsf (float _Complex __z) __attribute__ ((__nothrow__));
extern float sqrtf (float __x) __attribute__ ((__nothrow__)); extern float __sqrtf (float __x) __attribute__ ((__nothrow__));
int main(int argc , char * argv[])
{
int AA, BB, CC;
AA = 99;
BB = 99;
CC = (int)atoi(argv[3]);
int m,n,s;
int DD,EE,num_s;
float _Complex * restrict A;
A = malloc((AA) * (BB) * (CC) * sizeof(float _Complex));
int A_slice_stride;
A_slice_stride = (AA) * (BB) ;
float * restrict f;
f = malloc(CC * sizeof(float));
FILE *fp;
fp = fopen(argv[1],"rb");
fread(A,sizeof(float _Complex),AA * BB * CC,fp);
fclose(fp);
fp = fopen(argv[2],"rb");
fread(f,sizeof(float),CC,fp);
fclose(fp);
DD = (int)atoi(argv[4]);
EE = (int)atoi(argv[5]);
num_s = (EE - DD) + 1;
float * restrict INPUT;
INPUT = malloc(4 * 4 * sizeof(float));
int m_max = 99;
int n_max = 00;
float h = 0.1;
float FF = 10;
if ((__extension__ (__builtin_constant_p (5) && ((__builtin_constant_p (argv[6]) && strlen (argv[6]) < ((size_t) (5))) || (__builtin_constant_p ("plane") && strlen ("plane") < ((size_t) (5)))) ? __extension__ ({ size_t __s1_len, __s2_len; (__builtin_constant_p (argv[6]) && __builtin_constant_p ("plane") && (__s1_len = strlen (argv[6]), __s2_len = strlen ("plane"), (!((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) || __s1_len >= 4) && (!((size_t)(const void *)(("plane") + 1) - (size_t)(const void *)("plane") == 1) || __s2_len >= 4)) ? __builtin_strcmp (argv[6], "plane") : (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) && (__s1_len = strlen (argv[6]), __s1_len < 4) ? (__builtin_constant_p ("plane") && ((size_t)(const void *)(("plane") + 1) - (size_t)(const void *)("plane") == 1) ? __builtin_strcmp (argv[6], "plane") : (__extension__ ({ __const unsigned char *__s2 = (__const unsigned char *) (__const char *) ("plane"); register int __result = (((__const unsigned char *) (__const char *) (argv[6]))[0] - __s2[0]); if (__s1_len > 0 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[1] - __s2[1]); if (__s1_len > 1 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[2] - __s2[2]); if (__s1_len > 2 && __result == 0) __result = (((__const unsigned char *) (__const char *) (argv[6]))[3] - __s2[3]); } } __result; }))) : (__builtin_constant_p ("plane") && ((size_t)(const void *)(("plane") + 1) - (size_t)(const void *)("plane") == 1) && (__s2_len = strlen ("plane"), __s2_len < 4) ? (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) ? __builtin_strcmp (argv[6], "plane") : (__extension__ ({ __const unsigned char *__s1 = (__const unsigned char *) (__const char *) (argv[6]); register int __result = __s1[0] - ((__const unsigned char *) (__const char *) ("plane"))[0]; if (__s2_len > 0 && __result == 0) { __result = (__s1[1] - ((__const unsigned char *) (__const char *) ("plane"))[1]); if (__s2_len > 1 && __result == 0) { __result = (__s1[2] - ((__const unsigned char *) (__const char *) ("plane"))[2]); if (__s2_len > 2 && __result == 0) __result = (__s1[3] - ((__const unsigned char *) (__const char *) ("plane"))[3]); } } __result; }))) : __builtin_strcmp (argv[6], "plane")))); }) : (__extension__ (__builtin_constant_p (5) && ((__builtin_constant_p (argv[6]) && strlen (argv[6]) < ((size_t) (5))) || (__builtin_constant_p ("plane") && strlen ("plane") < ((size_t) (5)))) ? __extension__ ({ size_t __s1_len, __s2_len; (__builtin_constant_p (argv[6]) && __builtin_constant_p ("plane") && (__s1_len = strlen (argv[6]), __s2_len = strlen ("plane"), (!((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) || __s1_len >= 4) && (!((size_t)(const void *)(("plane") + 1) - (size_t)(const void *)("plane") == 1) || __s2_len >= 4)) ? __builtin_strcmp (argv[6], "plane") : (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) && (__s1_len = strlen (argv[6]), __s1_len < 4) ? (__builtin_constant_p ("plane") && ((size_t)(const void *)(("plane") + 1) - (size_t)(const void *)("plane") == 1) ? __builtin_strcmp (argv[6], "plane") : (__extension__ ({ __const unsigned char *__s2 = (__const unsigned char *) (__const char *) ("plane"); register int __result = (((__const unsigned char *) (__const char *) (argv[6]))[0] - __s2[0]); if (__s1_len > 0 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[1] - __s2[1]); if (__s1_len > 1 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[2] - __s2[2]); if (__s1_len > 2 && __result == 0) __result = (((__const unsigned char *) (__const char *) (argv[6]))[3] - __s2[3]); } } __result; }))) : (__builtin_constant_p ("plane") && ((size_t)(const void *)(("plane") + 1) - (size_t)(const void *)("plane") == 1) && (__s2_len = strlen ("plane"), __s2_len < 4) ? (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) ? __builtin_strcmp (argv[6], "plane") : (__extension__ ({ __const unsigned char *__s1 = (__const unsigned char *) (__const char *) (argv[6]); register int __result = __s1[0] - ((__const unsigned char *) (__const char *) ("plane"))[0]; if (__s2_len > 0 && __result == 0) { __result = (__s1[1] - ((__const unsigned char *) (__const char *) ("plane"))[1]); if (__s2_len > 1 && __result == 0) { __result = (__s1[2] - ((__const unsigned char *) (__const char *) ("plane"))[2]); if (__s2_len > 2 && __result == 0) __result = (__s1[3] - ((__const unsigned char *) (__const char *) ("plane"))[3]); } } __result; }))) : __builtin_strcmp (argv[6], "plane")))); }) : strncmp (argv[6], "plane", 5)))))==0) {
m_max = INPUT[ ( ((1)-1) + ( ((1)-1)*4 ))];
n_max = INPUT[ ( ((2)-1) + ( ((1)-1)*4 ))];
h = INPUT[ ( ((3)-1) + ( ((1)-1)*4 ))];
FF = INPUT[ ( ((4)-1) + ( ((1)-1)*4 ))];
}
if ((__extension__ (__builtin_constant_p (6) && ((__builtin_constant_p (argv[6]) && strlen (argv[6]) < ((size_t) (6))) || (__builtin_constant_p ("sphere") && strlen ("sphere") < ((size_t) (6)))) ? __extension__ ({ size_t __s1_len, __s2_len; (__builtin_constant_p (argv[6]) && __builtin_constant_p ("sphere") && (__s1_len = strlen (argv[6]), __s2_len = strlen ("sphere"), (!((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) || __s1_len >= 4) && (!((size_t)(const void *)(("sphere") + 1) - (size_t)(const void *)("sphere") == 1) || __s2_len >= 4)) ? __builtin_strcmp (argv[6], "sphere") : (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) && (__s1_len = strlen (argv[6]), __s1_len < 4) ? (__builtin_constant_p ("sphere") && ((size_t)(const void *)(("sphere") + 1) - (size_t)(const void *)("sphere") == 1) ? __builtin_strcmp (argv[6], "sphere") : (__extension__ ({ __const unsigned char *__s2 = (__const unsigned char *) (__const char *) ("sphere"); register int __result = (((__const unsigned char *) (__const char *) (argv[6]))[0] - __s2[0]); if (__s1_len > 0 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[1] - __s2[1]); if (__s1_len > 1 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[2] - __s2[2]); if (__s1_len > 2 && __result == 0) __result = (((__const unsigned char *) (__const char *) (argv[6]))[3] - __s2[3]); } } __result; }))) : (__builtin_constant_p ("sphere") && ((size_t)(const void *)(("sphere") + 1) - (size_t)(const void *)("sphere") == 1) && (__s2_len = strlen ("sphere"), __s2_len < 4) ? (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) ? __builtin_strcmp (argv[6], "sphere") : (__extension__ ({ __const unsigned char *__s1 = (__const unsigned char *) (__const char *) (argv[6]); register int __result = __s1[0] - ((__const unsigned char *) (__const char *) ("sphere"))[0]; if (__s2_len > 0 && __result == 0) { __result = (__s1[1] - ((__const unsigned char *) (__const char *) ("sphere"))[1]); if (__s2_len > 1 && __result == 0) { __result = (__s1[2] - ((__const unsigned char *) (__const char *) ("sphere"))[2]); if (__s2_len > 2 && __result == 0) __result = (__s1[3] - ((__const unsigned char *) (__const char *) ("sphere"))[3]); } } __result; }))) : __builtin_strcmp (argv[6], "sphere")))); }) : (__extension__ (__builtin_constant_p (6) && ((__builtin_constant_p (argv[6]) && strlen (argv[6]) < ((size_t) (6))) || (__builtin_constant_p ("sphere") && strlen ("sphere") < ((size_t) (6)))) ? __extension__ ({ size_t __s1_len, __s2_len; (__builtin_constant_p (argv[6]) && __builtin_constant_p ("sphere") && (__s1_len = strlen (argv[6]), __s2_len = strlen ("sphere"), (!((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) || __s1_len >= 4) && (!((size_t)(const void *)(("sphere") + 1) - (size_t)(const void *)("sphere") == 1) || __s2_len >= 4)) ? __builtin_strcmp (argv[6], "sphere") : (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) && (__s1_len = strlen (argv[6]), __s1_len < 4) ? (__builtin_constant_p ("sphere") && ((size_t)(const void *)(("sphere") + 1) - (size_t)(const void *)("sphere") == 1) ? __builtin_strcmp (argv[6], "sphere") : (__extension__ ({ __const unsigned char *__s2 = (__const unsigned char *) (__const char *) ("sphere"); register int __result = (((__const unsigned char *) (__const char *) (argv[6]))[0] - __s2[0]); if (__s1_len > 0 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[1] - __s2[1]); if (__s1_len > 1 && __result == 0) { __result = (((__const unsigned char *) (__const char *) (argv[6]))[2] - __s2[2]); if (__s1_len > 2 && __result == 0) __result = (((__const unsigned char *) (__const char *) (argv[6]))[3] - __s2[3]); } } __result; }))) : (__builtin_constant_p ("sphere") && ((size_t)(const void *)(("sphere") + 1) - (size_t)(const void *)("sphere") == 1) && (__s2_len = strlen ("sphere"), __s2_len < 4) ? (__builtin_constant_p (argv[6]) && ((size_t)(const void *)((argv[6]) + 1) - (size_t)(const void *)(argv[6]) == 1) ? __builtin_strcmp (argv[6], "sphere") : (__extension__ ({ __const unsigned char *__s1 = (__const unsigned char *) (__const char *) (argv[6]); register int __result = __s1[0] - ((__const unsigned char *) (__const char *) ("sphere"))[0]; if (__s2_len > 0 && __result == 0) { __result = (__s1[1] - ((__const unsigned char *) (__const char *) ("sphere"))[1]); if (__s2_len > 1 && __result == 0) { __result = (__s1[2] - ((__const unsigned char *) (__const char *) ("sphere"))[2]); if (__s2_len > 2 && __result == 0) __result = (__s1[3] - ((__const unsigned char *) (__const char *) ("sphere"))[3]); } } __result; }))) : __builtin_strcmp (argv[6], "sphere")))); }) : strncmp (argv[6], "sphere", 6)))))==0) {
m_max = 181;
n_max = 361;
h = INPUT[ ( ((3)-1) + ( ((1)-1)*4 ))];
FF = INPUT[ ( ((4)-1) + ( ((1)-1)*4 ))];
}
float * restrict X;
X = malloc(m_max * n_max * sizeof(float));
float * restrict Y;
Y = malloc(m_max * n_max * sizeof(float));
float * restrict Z;
Z = malloc(m_max * n_max * sizeof(float));
float _Complex * restrict P;
P = malloc(m_max * n_max * sizeof(float _Complex));
float _Complex * restrict Ps;
Ps = malloc((m_max) * (n_max) * (num_s) * sizeof(float _Complex));
int Ps_slice_stride;
Ps_slice_stride = (m_max) * (n_max) ;
float GG;
float HH;
for ( n = 1 ; n <= 99 ; n++ ) {
for ( m = 1 ; m <= 99 ; m++ ) {
X[ ( ((m)-1) + ( ((n)-1)*m_max ))] = FF ;
Y[ ( ((m)-1) + ( ((n)-1)*m_max ))] = FF ;
Z[ ( ((m)-1) + ( ((n)-1)*m_max ))] = FF ;
}
}
int KK = atoi(argv[8]);
int LL = 3 * KK;
float * restrict MM;
MM = malloc(4 * LL * sizeof(float));
for ( n = 1 ; n <= n_max ; n++) {
for ( m = 1 ; m <= m_max ; m++) {
for ( s = 1 ; s <= num_s ; s++) {
Ps[ ( ((m)-1) + (((n)-1)*(m_max)) + (((s)-1)*(Ps_slice_stride)) ) ] = 0.0 + 0.0 * (__extension__ 1.0iF);
}
}
}
int liter ;
#pragma omp parallel for private(m,liter,s)
for ( n = 1 ; n <= n_max ; n++) {
for ( m = 1 ; m <= m_max ; m++) {
for ( liter = 1 ; liter <= KK ; liter++ ) {
for ( s = 1 ; s <= num_s ; s++) {
int LM_column;
float NN[4];
float OO[4];
float PP[4];
float QQ[4];
float k;
int s_index;
float RR;
s_index = s + (DD -1);
RR = f[ ( (s_index)-1) ];
k = 99.0;
NN[1 -1] = X[ ( ((m)-1) + ( ((n)-1)*m_max ))];
NN[2 -1] = Y[ ( ((m)-1) + ( ((n)-1)*m_max ))];
NN[3 -1] = Z[ ( ((m)-1) + ( ((n)-1)*m_max ))];
NN[4 -1] = 1.0;
LM_column = ((liter -1) * 3) + 1;
OO[1 -1] = MM[ ( ((1)-1) + ( ((LM_column)-1)*4 ))];
OO[2 -1] = MM[ ( ((2)-1) + ( ((LM_column)-1)*4 ))];
OO[3 -1] = MM[ ( ((3)-1) + ( ((LM_column)-1)*4 ))];
OO[4 -1] = MM[ ( ((4)-1) + ( ((LM_column)-1)*4 ))];
LM_column = ((liter -1) * 3) + 2;
PP[1 -1] = MM[ ( ((1)-1) + ( ((LM_column)-1)*4 ))];
PP[2 -1] = MM[ ( ((2)-1) + ( ((LM_column)-1)*4 ))];
PP[3 -1] = MM[ ( ((3)-1) + ( ((LM_column)-1)*4 ))];
PP[4 -1] = MM[ ( ((4)-1) + ( ((LM_column)-1)*4 ))];
LM_column = ((liter -1) * 3) + 3;
QQ[1 -1] = MM[ ( ((1)-1) + ( ((LM_column)-1)*4 ))];
QQ[2 -1] = MM[ ( ((2)-1) + ( ((LM_column)-1)*4 ))];
QQ[3 -1] = MM[ ( ((3)-1) + ( ((LM_column)-1)*4 ))];
QQ[4 -1] = MM[ ( ((4)-1) + ( ((LM_column)-1)*4 ))];
}
}
}
}
#pragma omp parallel for private(m)
for ( n = 1 ; n <= n_max ; n++) {
for ( m = 1 ; m <= m_max ; m++) {
int s;
float SSS;
float f1,f2,p1,p2,TT,h,FFF;
SSS = 0.0;
for ( s = 2 ; s <= num_s ; s++) {
f1 = f[ ( ((s-1) + (DD - 1))-1) ];
f2 = f[ ( ((s) + (DD - 1))-1) ];
p1 = cabsf(Ps[ ( ((m)-1) + (((n)-1)*(m_max)) + ((((s-1))-1)*(Ps_slice_stride)) ) ]) ;
p2 = cabsf(Ps[ ( ((m)-1) + (((n)-1)*(m_max)) + (((s)-1)*(Ps_slice_stride)) ) ]) ;
h = f2 - f1;
FFF = (f1 + f2) / 2.0;
TT = (1.0 / sqrtf(2.0)) * (((h * p1) + (0.5 * h * (p2 - p1))) * (1.0 / FFF));
SSS += TT;
}
P[ ( ((m)-1) + ( ((n)-1)*m_max ))] = SSS + ((__extension__ 1.0iF) * 0.0);
}
}
fp = fopen(argv[10],"wb");
fwrite(X,sizeof(float),m_max * n_max,fp);
fclose(fp);
fp = fopen(argv[11],"wb");
fwrite(Y,sizeof(float),m_max * n_max,fp);
fclose(fp);
fp = fopen(argv[12],"wb");
fwrite(Z,sizeof(float),m_max * n_max,fp);
fclose(fp);
fp = fopen(argv[13],"wb");
fwrite(P,sizeof(float _Complex),m_max * n_max,fp);
fclose(fp);
return(0);
}
|
openmp_demo.c | //------------------------------------------------------------------------------
// GraphBLAS/Demo/Program/openmp_demo: example of user multithreading
//------------------------------------------------------------------------------
// This demo uses OpenMP, and should work if GraphBLAS is compiled to
// use either OpenMP or pthreads to synchronize multiple user threadds.
// If OpenMP is not available, this program will work fine without it, in a
// single user thread, regardless of the thread mechanism used by GraphBLAS.
#include "GraphBLAS.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#if defined __INTEL_COMPILER
#pragma warning (disable: 58 167 144 177 181 186 188 589 593 869 981 1418 1419 1572 1599 2259 2282 2557 2547 3280 )
#elif defined __GNUC__
#pragma GCC diagnostic ignored "-Wunknown-pragmas"
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Wincompatible-pointer-types"
#endif
#define NTHREADS 8
#define NTRIALS 10
#define N 6
#define OK(method) \
{ \
GrB_Info info = method ; \
if (! (info == GrB_SUCCESS || info == GrB_NO_VALUE)) \
{ \
printf ("Failure (id: %d, info: %d): %s\n", \
id, info, GrB_error ( )) ; \
/* return to caller (do not use inside critical section) */ \
return (0) ; \
} \
}
//------------------------------------------------------------------------------
// worker
//------------------------------------------------------------------------------
int worker (GrB_Matrix *Ahandle, int id)
{
printf ("\n================= worker %d starts:\n", id) ;
fprintf (stderr, "worker %d\n", id) ;
OK (GrB_Matrix_new (Ahandle, GrB_FP64, N, N)) ;
GrB_Matrix A = *Ahandle ;
// worker generates an intentional error message
GrB_Matrix_setElement (A, 42, 1000+id, 1000+id) ;
// print the intentional error generated when the worker started
#pragma omp critical
{
// critical section
printf ("\n----------------- worker %d intentional error:\n", id) ;
printf ("%s\n", GrB_error ( )) ;
}
for (int hammer_hard = 0 ; hammer_hard < NTRIALS ; hammer_hard++)
{
for (int i = 0 ; i < N ; i++)
{
for (int j = 0 ; j < N ; j++)
{
double x = (i+1)*100000 + (j+1)*1000 + id ;
OK (GrB_Matrix_setElement (A, x, i, j)) ;
}
}
// force completion
GrB_Index nvals ;
OK (GrB_Matrix_nvals (&nvals, A)) ;
}
// Printing is done in a critical section, just so it is not overly
// jumbled. Each matrix and error will print in a single body of text,
// but the order of the matrices and errors printed will be out of order
// because the critical section does not enforce the order that the
// threads enter.
GrB_Info info2 ;
#pragma omp critical
{
// critical section
printf ("\n----------------- worker %d is done:\n", id) ;
info2 = GxB_print (A, GxB_SHORT) ;
}
OK (info2) ;
// worker generates an intentional error message
GrB_Matrix_setElement (A, 42, 1000+id, 1000+id) ;
// print the intentional error generated when the worker started
// It should be unchanged.
#pragma omp critical
{
// critical section
printf ("\n----------------- worker %d error should be same:\n", id) ;
printf ("%s\n", GrB_error ( )) ;
}
return (0) ;
}
//------------------------------------------------------------------------------
// openmp_demo main program
//------------------------------------------------------------------------------
int main (int argc, char **argv)
{
fprintf (stderr, "Demo: %s:\n", argv [0]) ;
printf ("Demo: %s:\n", argv [0]) ;
// initialize the mutex
int id = -1 ;
// start GraphBLAS
OK (GrB_init (GrB_NONBLOCKING)) ;
// Determine which user-threading model is being used.
GxB_Thread_Model thread_safety ;
GxB_get (GxB_THREAD_SAFETY, &thread_safety) ;
printf ("GraphBLAS is using ") ;
switch (thread_safety)
{
case GxB_THREAD_POSIX :
printf ("a POSIX pthread mutex\n") ;
break ;
case GxB_THREAD_WINDOWS :
printf ("a Windows CriticalSection\n") ;
break ;
case GxB_THREAD_ANSI :
printf ("an ANSI C11 mtx_lock\n") ;
break ;
case GxB_THREAD_OPENMP :
printf ("an OpenMP critical section\n") ;
break ;
default : // GxB_THREAD_NONE
#ifdef _OPENMP
printf ("(nothing! This will fail!)\n") ;
#else
printf ("nothing (OK since user program is single-threaded)\n") ;
#endif
break ;
}
printf ("to synchronize user threads.\n") ;
#ifdef _OPENMP
printf ("User threads in this program are OpenMP threads.\n") ;
#else
printf ("This user program is single threaded.\n") ;
#endif
GrB_Matrix Aarray [NTHREADS] ;
// create the threads
#pragma omp parallel for num_threads(NTHREADS)
for (int id = 0 ; id < NTHREADS ; id++)
{
worker (&Aarray [id], id) ;
}
// the master thread prints them again, and frees them
for (int id = 0 ; id < NTHREADS ; id++)
{
GrB_Matrix A = Aarray [id] ;
printf ("\n---- Master prints matrix %d\n", id) ;
OK (GxB_print (A, GxB_SHORT)) ;
GrB_free (&A) ;
}
// print an error message
printf ("\n\n---- Master thread prints an error message:\n") ;
GrB_Matrix_new (NULL, GrB_FP64, 1, 1) ;
printf ("master %d : Error: %s\n", id, GrB_error ( )) ;
// finish GraphBLAS
GrB_finalize ( ) ;
// finish OpenMP
exit (0) ;
}
|
Example_SIMD.1.c | /*
* @@name: SIMD.1c
* @@type: C
* @@compilable: yes
* @@linkable: no
* @@expect: success
* @@version: omp_4.0
*/
void star( double *a, double *b, double *c, int n, int *ioff )
{
int i;
#pragma omp simd
for ( i = 0; i < n; i++ )
a[i] *= b[i] * c[i+ *ioff];
}
|
GxB_Monoid_identity.c | //------------------------------------------------------------------------------
// GxB_Monoid_identity: return the identity of a monoid
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
#include "GB.h"
GrB_Info GxB_Monoid_identity // return the monoid identity
(
void *identity, // returns the identity of the monoid
GrB_Monoid monoid // monoid to query
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
GB_WHERE1 ("GxB_Monoid_identity (&identity, monoid)") ;
GB_RETURN_IF_NULL (identity) ;
GB_RETURN_IF_NULL_OR_FAULTY (monoid) ;
ASSERT_MONOID_OK (monoid, "monoid for identity", GB0) ;
//--------------------------------------------------------------------------
// return the identity
//--------------------------------------------------------------------------
memcpy (identity, monoid->identity, monoid->op->ztype->size) ;
#pragma omp flush
return (GrB_SUCCESS) ;
}
|
prog1.c | /*
Copyright (c) 2017 Rob Gillen
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
*/
#include <stdio.h>
#include <stdlib.h>
#include <error.h>
#include <argp.h>
#include <inttypes.h>
#include <time.h>
#include <omp.h>
const char *argp_program_version = "prog1 1.0";
const char *argp_program_bug_address = "<regillen42@students.tntech.edu>";
/* Program documentation. */
static char doc[] = "CSC6740 Assignment 1 -- Matrix Multiplication with OpenMP";
/* The options we understand. */
static struct argp_option options[] = {
{"size", 's', "SIZE", 0, "Size of a matrix side (e.g. M x M)"},
{"threads", 't', "THREADS", 0, "Number of threads to utilize"}
};
// hold our command line arguments
struct arguments {
int matrix_size;
int thread_count;
};
// my parser function
static error_t parse_opt (int key, char *arg, struct argp_state *state)
{
struct arguments *arguments = state->input;
switch (key)
{
case 's':
arguments->matrix_size = arg ? atoi (arg) : 10;
break;
case 't':
arguments->thread_count = arg ? atoi (arg) : 10;
break;
default:
return ARGP_ERR_UNKNOWN;
}
return 0;
}
// my argp parser
static struct argp argp = { options, parse_opt, 0, doc };
double build_good_random() {
return ((float)rand()/(float)(RAND_MAX)) * 1024;
}
int main(int argc, char **argv) {
struct arguments arguments;
arguments.matrix_size = 0;
arguments.thread_count = 0;
argp_parse(&argp, argc, argv, 0, 0, &arguments);
printf("\n");
printf("***********************************************\n");
printf("* Matrix Math with OpenMP\n");
printf("* \n");
printf("* Using %i threads\n", arguments.thread_count);
printf("* Matrix size: %i x %i\n", arguments.matrix_size, arguments.matrix_size);
printf("*\n\n");
if ((arguments.matrix_size <= 0) || (arguments.thread_count <= 0)) {
fprintf(stderr, "\n[ERROR] You must specify a matrix size and thread count greater than zero\n");
exit(1);
}
// generate the matrices (e.g. 10x10 should be double[100], and in row-major format)
double total_size = arguments.matrix_size*arguments.matrix_size;
double *m1 = malloc (sizeof(double)*total_size);
double *m2 = malloc (sizeof(double)*total_size);
double *a1 = malloc (sizeof(double)*total_size);
double *a2 = malloc (sizeof(double)*total_size);
// double m1[9];
// double m2[9];
// double a1[9];
// double a2[9];
// m1[0] = 1;
// m1[1] = 2;
// m1[2] = 3;
// m1[3] = 4;
// m1[4] = 5;
// m1[5] = 6;
// m1[6] = 7;
// m1[7] = 8;
// m1[8] = 9;
// m2[0] = 9;
// m2[1] = 8;
// m2[2] = 7;
// m2[3] = 6;
// m2[4] = 5;
// m2[5] = 4;
// m2[6] = 3;
// m2[7] = 2;
// m2[8] = 1;
for (int i = 0; i < arguments.matrix_size*arguments.matrix_size; i++) {
m1[i] = build_good_random();
m2[i] = build_good_random();
}
// print the matrix (row major)
// printf("MATRIX #1\n");
// for (int i = 0; i < arguments.matrix_size; i++) {
// for (int j = 0; j < arguments.matrix_size; j++) {
// int index = (arguments.matrix_size * i) + j;
// printf("%f\t", m1[index]);
// }
// printf("\n");
// }
// printf("\nMATRIX #2\n");
// for (int i = 0; i < arguments.matrix_size; i++) {
// for (int j = 0; j < arguments.matrix_size; j++) {
// int index = (arguments.matrix_size * i) + j;
// printf("%f\t", m2[index]);
// }
// printf("\n");
// }
int side_len = arguments.matrix_size;
// ok... let's do it the hard way...
// printf("Running Serial Calculations\n");
// // double counter = 0;
// for (int i = 0; i < side_len; i++) {
// for (int j = 0; j < side_len; j++) {
// double answer = 0;
// for (int k = 0; k < side_len; k++) {
// answer += m1[(side_len*i) + k] * m2[(side_len*k) + j];
// }
// a1[(side_len*i) + j] = answer;
// }
// }
printf("Running Parallel Calculations\n");
// set the number of threads
omp_set_num_threads(arguments.thread_count);
// arguments.thread_count
// set up the parallel branch
#pragma omp parallel
{
// calculate the range (into i) for this particular thread
int ID = omp_get_thread_num();
int split = side_len / arguments.thread_count;
int min = split * ID;
int max = min + split;
// printf("MIN for %d: %d\n", ID, min);
// printf("MAX for %d: %d\n", ID, max);
// do it just like before, but only our part (data parallel)
for (int i = min; i < max; i++) {
for (int j = 0; j < side_len; j++) {
double answer = 0;
for (int k = 0; k < side_len; k++) {
answer += m1[(side_len*i) + k] * m2[(side_len*k) + j];
}
a1[(side_len*i) + j] = answer;
}
}
}
// printf("\nRESULTS\n");
// for (int i = 0; i < arguments.matrix_size; i++) {
// for (int j = 0; j < arguments.matrix_size; j++) {
// int index = (arguments.matrix_size * i) + j;
// printf("%f\t", a1[index]);
// }
// printf("\n");
// }
// printf("\n%0.0f total operations\n", counter);
printf("\n");
free(m1);
free(m2);
free(a1);
free(a2);
exit (0);
}
|
nanopore_hdp.c | //
// nanopore_hdp.c
//
//
// Created by Jordan Eizenga on 1/8/16.
//
//
// in 0-based index
#define ALIGNMENT_KMER_COL 9
#define ALIGNMENT_STRAND_COL 4
#define ALIGNMENT_SIGNAL_COL 13
#define ASSIGNMENT_KMER_COL 0
#define ASSIGNMENT_STRAND_COL 1
#define ASSIGNMENT_SIGNAL_COL 2
// number of expected column in the two kinds of input tables
#define NUM_ALIGNMENT_COLS 15
#define NUM_ASSIGNMENT_COLS 4
#define MODEL_ROW_HEADER_LENGTH 0
#define MODEL_MEAN_ENTRY 0
#define MODEL_NOISE_ENTRY 1
#define MODEL_ENTRY_LENGTH 5
#include <stdio.h>
#include <stdbool.h>
#include <stdlib.h>
#include <string.h>
#include <inttypes.h>
#include "pairwiseAligner.h"
#include "hdp_math_utils.h"
NanoporeHDP* package_nanopore_hdp(HierarchicalDirichletProcess* hdp, const char* alphabet, int64_t alphabet_size,
int64_t kmer_length) {
NanoporeHDP* nhdp = (NanoporeHDP*) malloc(sizeof(NanoporeHDP));
// copy and sort alphabet
char* internal_alphabet = (char*) malloc(sizeof(char) * (alphabet_size + 1));
for (int64_t i = 0; i < alphabet_size; i++) {
internal_alphabet[i] = alphabet[i];
}
int64_t min_idx;
char temp;
for (int64_t i = 0; i < alphabet_size; i++) {
min_idx = i;
for (int64_t j = i + 1; j < alphabet_size; j++) {
if (internal_alphabet[j] < internal_alphabet[min_idx]) {
min_idx = j;
}
}
temp = internal_alphabet[i];
internal_alphabet[i] = internal_alphabet[min_idx];
internal_alphabet[min_idx] = temp;
}
for (int64_t i = 1; i < alphabet_size; i++) {
if (alphabet[i - 1] == alphabet[i]) {
fprintf(stderr, "Characters of alphabet must be distinct.\n");
exit(EXIT_FAILURE);
}
}
internal_alphabet[alphabet_size] = '\0';
nhdp->hdp = hdp;
nhdp->alphabet = internal_alphabet;
nhdp->alphabet_size = alphabet_size;
nhdp->kmer_length = kmer_length;
// note: destroying the HDP housed in the NHDP will destroy the DistributionMetricMemo
nhdp->distr_metric_memos = stSet_construct2(&free);
return nhdp;
}
void destroy_nanopore_hdp(NanoporeHDP* nhdp) {
destroy_hier_dir_proc(nhdp->hdp);
stSet_destruct(nhdp->distr_metric_memos);
free(nhdp->alphabet);
free(nhdp);
}
int64_t get_nanopore_hdp_kmer_length(NanoporeHDP* nhdp) {
return nhdp->kmer_length;
}
int64_t get_nanopore_hdp_alphabet_size(NanoporeHDP* nhdp) {
return nhdp->alphabet_size;
}
char* get_nanopore_hdp_alphabet(NanoporeHDP* nhdp) {
char* alphabet = nhdp->alphabet;
int64_t alphabet_size = nhdp->alphabet_size;
char* copy = (char*) malloc(sizeof(char) * (alphabet_size + 1));
for (int64_t i = 0; i < alphabet_size; i++) {
copy[i] = alphabet[i];
}
copy[alphabet_size] = '\0';
return copy;
}
// wrappers
void execute_nhdp_gibbs_sampling(NanoporeHDP* nhdp, int64_t num_samples, int64_t burn_in,
int64_t thinning, bool verbose) {
execute_gibbs_sampling(nhdp->hdp, num_samples, burn_in, thinning, verbose);
}
void execute_nhdp_gibbs_sampling_with_snapshots(NanoporeHDP* nhdp,
int64_t num_samples, int64_t burn_in, int64_t thinning,
void (*snapshot_func)(HierarchicalDirichletProcess*, void*),
void* snapshot_func_args, bool verbose) {
execute_gibbs_sampling_with_snapshots(nhdp->hdp, num_samples, burn_in, thinning, snapshot_func, snapshot_func_args,
verbose);
}
void finalize_nhdp_distributions(NanoporeHDP* nhdp) {
finalize_distributions(nhdp->hdp);
}
void normal_inverse_gamma_params_from_minION(const char* model_filepath, double* mu_out, double* nu_out,
double* alpha_out, double* beta_out) {
// model format:
// stateNumber \t alphabetSize \t alphabet \t kmerSize
// [level_mean, level_stdv, noise_mean, noise_stdv, noise_lambda]
FILE* model_file = fopen(model_filepath, "r");
char* line = stFile_getLineFromFile(model_file);
stList* tokens = stString_split(line);
if (stList_length(tokens) != 4) {
st_errAbort("normal_inverse_gamma_params_from_minION: Model format has changed invalid model"
"found here %s\n", model_filepath);
}
free(line);
stList_destruct(tokens);
// ignore transitions line
line = stFile_getLineFromFile(model_file);
tokens = stString_split(line);
if (stList_length(tokens) != 10) {
st_errnoAbort("More than 3-state hmm transitions parameters found\n");
}
line = stFile_getLineFromFile(model_file);
tokens = stString_split(line);
int64_t table_length = (stList_length(tokens) - MODEL_ROW_HEADER_LENGTH) / MODEL_ENTRY_LENGTH;
double* means = (double*) malloc(sizeof(double) * table_length);
double* precisions = (double*) malloc(sizeof(double) * table_length);
int64_t mean_offset = MODEL_ROW_HEADER_LENGTH + MODEL_MEAN_ENTRY; // 1
int64_t noise_offset = MODEL_ROW_HEADER_LENGTH + MODEL_NOISE_ENTRY; // 2
char* mean_str;
char* noise_str;
double noise;
for (int i = 0; i < table_length; i++) {
mean_str = (char*) stList_get(tokens, mean_offset + i * MODEL_ENTRY_LENGTH);
sscanf(mean_str, "%lf", &(means[i]));
noise_str = (char*) stList_get(tokens, noise_offset + i * MODEL_ENTRY_LENGTH);
sscanf(noise_str, "%lf", &noise);
precisions[i] = 1.0 / (noise * noise);
}
free(line);
stList_destruct(tokens);
mle_normal_inverse_gamma_params(means, precisions, table_length, mu_out, nu_out, alpha_out, beta_out);
free(means);
free(precisions);
fclose(model_file);
}
// fixed concentration parameters 'gamma' for each depth
HierarchicalDirichletProcess* minION_hdp(int64_t num_dps, int64_t depth, double* gamma, double sampling_grid_start,
double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
double mu, nu, alpha, beta;
normal_inverse_gamma_params_from_minION(model_filepath, &mu, &nu, &alpha, &beta);
return new_hier_dir_proc(num_dps, depth, gamma, sampling_grid_start, sampling_grid_stop,
sampling_grid_length, mu, nu, alpha, beta);
}
// Gamma distribution prior on the concentration parameters 'gamma'
// must designate vector of 'alpha' and 'beta' parameters of distribution for each depth
HierarchicalDirichletProcess* minION_hdp_2(int64_t num_dps, int64_t depth, double* gamma_alpha,
double* gamma_beta, double sampling_grid_start,
double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
double mu, nu, alpha, beta;
normal_inverse_gamma_params_from_minION(model_filepath, &mu, &nu, &alpha, &beta);
return new_hier_dir_proc_2(num_dps, depth, gamma_alpha, gamma_beta, sampling_grid_start,
sampling_grid_stop, sampling_grid_length, mu, nu, alpha, beta);
}
void update_nhdp_from_alignment(NanoporeHDP* nhdp, const char* alignment_filepath, bool has_header) {
update_nhdp_from_alignment_with_filter(nhdp, alignment_filepath, has_header, NULL);
}
void update_nhdp_from_alignment_with_filter(NanoporeHDP* nhdp, const char* alignment_filepath,
bool has_header, const char* strand_filter) {
stList* signal_list = stList_construct3(0, &free);
stList* dp_id_list = stList_construct3(0, &free);
FILE* align_file = fopen(alignment_filepath, "r");
if (align_file == NULL) {
fprintf(stderr, "Alignment %s file does not exist.\n", alignment_filepath);
exit(EXIT_FAILURE);
}
stList* tokens;
int64_t line_length;
char* kmer;
char* strand;
char* signal_str;
int64_t* dp_id_ptr;
double* signal_ptr;
bool warned = false;
int proceed = 0;
char* line = stFile_getLineFromFile(align_file);
if (has_header) {
line = stFile_getLineFromFile(align_file);
}
while (line != NULL) {
tokens = stString_split(line);
line_length = stList_length(tokens);
if (!warned) {
if ((line_length != NUM_ALIGNMENT_COLS) || (line_length != NUM_ASSIGNMENT_COLS)) {
fprintf(stderr, "Input format has changed from design period, HDP may receive incorrect data.\n");
warned = true;
continue;
}
}
bool using_alignment;
if (line_length == NUM_ALIGNMENT_COLS) {
using_alignment = true;
} else {
using_alignment = false;
}
int strand_col = using_alignment ? ALIGNMENT_STRAND_COL : ASSIGNMENT_STRAND_COL;
int signal_col = using_alignment ? ALIGNMENT_SIGNAL_COL : ASSIGNMENT_SIGNAL_COL;
int kmer_col = using_alignment ? ALIGNMENT_KMER_COL : ASSIGNMENT_KMER_COL;
strand = (char*) stList_get(tokens, strand_col);
if (strand_filter != NULL) {
proceed = strcmp(strand, strand_filter);
}
if (proceed == 0) {
signal_str = (char*) stList_get(tokens, signal_col);
kmer = (char*) stList_get(tokens, kmer_col);
signal_ptr = (double*) malloc(sizeof(double));
dp_id_ptr = (int64_t*) malloc(sizeof(int64_t));
sscanf(signal_str, "%lf", signal_ptr);
*dp_id_ptr = kmer_id(kmer, nhdp->alphabet, nhdp->alphabet_size, nhdp->kmer_length);
stList_append(signal_list, signal_ptr);
stList_append(dp_id_list, dp_id_ptr);
}
stList_destruct(tokens);
free(line);
line = stFile_getLineFromFile(align_file);
}
fclose(align_file);
int64_t data_length;
double* signal = stList_toDoublePtr(signal_list, &data_length);
int64_t* dp_ids = stList_toIntPtr(dp_id_list, &data_length);
stList_destruct(signal_list);
stList_destruct(dp_id_list);
reset_hdp_data(nhdp->hdp);
pass_data_to_hdp(nhdp->hdp, signal, dp_ids, data_length);
}
// n^k
int64_t power(int64_t n, int64_t k) {
int64_t num = 1;
for (int64_t i = 0; i < k; i++) {
num *= n;
}
return num;
}
// ((n k))
int64_t multiset_number(int64_t n, int64_t k) {
int64_t num = 1;
for (int64_t m = n + k - 1; m >= n; m--) {
num *= m;
}
for (int64_t m = k; m >= 2; m--) {
num /= m;
}
return num;
}
int64_t* get_word(int64_t word_id, int64_t alphabet_size, int64_t word_length) {
int64_t* word = (int64_t*) malloc(sizeof(int64_t) * word_length);
int64_t id_remainder = word_id;
for (int64_t i = 0; i < word_length; i++) {
word[word_length - i - 1] = id_remainder % alphabet_size;
id_remainder /= alphabet_size;
}
return word;
}
int64_t* get_word_multiset(int64_t word_id, int64_t alphabet_size, int64_t word_length) {
int64_t* multiset = get_word(word_id, alphabet_size, word_length);
// selection sort 'cause whatever
int64_t min_idx;
int64_t temp;
for (int64_t i = 0; i < word_length; i++) {
min_idx = i;
for (int64_t j = i + 1; j < word_length; j++) {
if (multiset[j] < multiset[min_idx]) {
min_idx = j;
}
}
temp = multiset[i];
multiset[i] = multiset[min_idx];
multiset[min_idx] = temp;
}
return multiset;
}
int64_t multiset_id_internal(int64_t* tail, int64_t tail_length, int64_t alphabet_min, int64_t alphabet_size) {
int64_t head = tail[0];
if (tail_length == 1) {
return head - alphabet_min;
}
int64_t step = 0;
for (int64_t i = alphabet_min; i < alphabet_size; i++) {
if (head > i) {
step += multiset_number(alphabet_size - i, tail_length - 1);
}
else {
return step + multiset_id_internal(&(tail[1]), tail_length - 1, i, alphabet_size);
}
}
fprintf(stderr, "Character outside alphabet included in multiset\n");
exit(EXIT_FAILURE);
}
int64_t multiset_id(int64_t* multiset, int64_t length, int64_t alphabet_size) {
return multiset_id_internal(multiset, length, 0, alphabet_size);
}
int64_t word_id_to_multiset_id(int64_t word_id, int64_t alphabet_size, int64_t word_length) {
int64_t* multiset = get_word_multiset(word_id, alphabet_size, word_length);
int64_t id = multiset_id(multiset, word_length, alphabet_size);
free(multiset);
return id;
}
int64_t word_id(int64_t* word, int64_t alphabet_size, int64_t word_length) {
int64_t id = 0;
int64_t step = 1;
for (int64_t i = word_length - 1; i >= 0; i--) {
id += step * word[i];
step *= alphabet_size;
}
return id;
}
int64_t* kmer_to_word(char* kmer, char* alphabet, int64_t alphabet_size, int64_t kmer_length) {
int64_t* word = (int64_t*) malloc(sizeof(int64_t) * kmer_length);
for (int64_t i = 0; i < kmer_length; i++) {
int64_t j = 0;
while (kmer[i] != alphabet[j]) {
j++;
if (j == alphabet_size) {
fprintf(stderr, "[signalAlign] - ERROR: K-mer contains character outside alphabet. "
"Got offending kmer is: %s. alphabet is %s kmer length %"PRId64"\n",
kmer, alphabet, kmer_length);
exit(EXIT_FAILURE);
}
}
word[i] = j;
}
return word;
}
int64_t kmer_id(char* kmer, char* alphabet, int64_t alphabet_size, int64_t kmer_length) {
int64_t* word = kmer_to_word(kmer, alphabet, alphabet_size, kmer_length);
int64_t id = word_id(word, alphabet_size, kmer_length);
free(word);
return id;
}
int64_t standard_kmer_id(char* kmer, int64_t kmer_length) {
return kmer_id(kmer, "ACGT", 4, kmer_length);
}
int64_t nhdp_kmer_id(NanoporeHDP* nhdp, char* kmer) {
return kmer_id(kmer, nhdp->alphabet, nhdp->alphabet_size, nhdp->kmer_length);
}
double get_nanopore_kmer_density(NanoporeHDP* nhdp, void *kmer, void *x) {
if (kmer == NULL) {
return LOG_ZERO;
} else {
double u = *(double *)x;
//return dir_proc_density(nhdp->hdp, *(double *) x, nhdp_kmer_id(nhdp, (char *)kmer));
return dir_proc_density(nhdp->hdp, u, nhdp_kmer_id(nhdp, (char *)kmer));
}
}
double get_kmer_distr_distance(NanoporeDistributionMetricMemo* memo, char* kmer_1, char* kmer_2) {
NanoporeHDP* nhdp = memo->nhdp;
return get_dir_proc_distance(memo->memo, nhdp_kmer_id(nhdp, kmer_1), nhdp_kmer_id(nhdp, kmer_2));
}
NanoporeDistributionMetricMemo* package_nanopore_metric_memo(NanoporeHDP* nhdp, DistributionMetricMemo* memo) {
NanoporeDistributionMetricMemo* nanopore_memo = (NanoporeDistributionMetricMemo*) malloc(sizeof(NanoporeDistributionMetricMemo));
nanopore_memo->nhdp = nhdp;
nanopore_memo->memo = memo;
return nanopore_memo;
}
NanoporeDistributionMetricMemo* new_nhdp_kl_divergence_memo(NanoporeHDP* nhdp) {
return package_nanopore_metric_memo(nhdp, new_kl_divergence_memo(nhdp->hdp));
}
NanoporeDistributionMetricMemo* new_nhdp_hellinger_distance_memo(NanoporeHDP* nhdp) {
return package_nanopore_metric_memo(nhdp, new_hellinger_distance_memo(nhdp->hdp));
}
NanoporeDistributionMetricMemo* new_nhdp_l2_distance_memo(NanoporeHDP* nhdp) {
return package_nanopore_metric_memo(nhdp, new_l2_distance_memo(nhdp->hdp));
}
NanoporeDistributionMetricMemo* new_nhdp_shannon_jensen_distance_memo(NanoporeHDP* nhdp) {
return package_nanopore_metric_memo(nhdp, new_shannon_jensen_distance_memo(nhdp->hdp));
}
double compare_nhdp_distrs_kl_divergence(NanoporeHDP* nhdp_1, char* kmer_1,
NanoporeHDP* nhdp_2, char* kmer_2) {
return compare_hdp_distrs_kl_divergence(nhdp_1->hdp, nhdp_kmer_id(nhdp_1, kmer_1),
nhdp_2->hdp, nhdp_kmer_id(nhdp_2, kmer_2));
}
double compare_nhdp_distrs_l2_distance(NanoporeHDP* nhdp_1, char* kmer_1,
NanoporeHDP* nhdp_2, char* kmer_2) {
return compare_hdp_distrs_l2_distance(nhdp_1->hdp, nhdp_kmer_id(nhdp_1, kmer_1),
nhdp_2->hdp, nhdp_kmer_id(nhdp_2, kmer_2));
}
double compare_nhdp_distrs_shannon_jensen_distance(NanoporeHDP* nhdp_1, char* kmer_1,
NanoporeHDP* nhdp_2, char* kmer_2) {
return compare_hdp_distrs_shannon_jensen_distance(nhdp_1->hdp, nhdp_kmer_id(nhdp_1, kmer_1),
nhdp_2->hdp, nhdp_kmer_id(nhdp_2, kmer_2));
}
double compare_nhdp_distrs_hellinger_distance(NanoporeHDP* nhdp_1, char* kmer_1,
NanoporeHDP* nhdp_2, char* kmer_2) {
return compare_hdp_distrs_hellinger_distance(nhdp_1->hdp, nhdp_kmer_id(nhdp_1, kmer_1),
nhdp_2->hdp, nhdp_kmer_id(nhdp_2, kmer_2));
}
double kmer_distr_expected_val(NanoporeHDP* nhdp, char* kmer) {
return dir_proc_expected_val(nhdp->hdp, nhdp_kmer_id(nhdp, kmer));
}
double kmer_distr_variance(NanoporeHDP* nhdp, char* kmer) {
return dir_proc_variance(nhdp->hdp, nhdp_kmer_id(nhdp, kmer));
}
int64_t flat_hdp_num_dps(int64_t alphabet_size, int64_t kmer_length) {
int64_t num_leaves = power(alphabet_size, kmer_length);
return num_leaves + 1;
}
void flat_hdp_model_internal(HierarchicalDirichletProcess* hdp, int64_t alphabet_size, int64_t kmer_length) {
int64_t last_dp_id = power(alphabet_size, kmer_length);
for (int64_t id = 0; id < last_dp_id; id++) {
set_dir_proc_parent(hdp, id, last_dp_id);
}
}
NanoporeHDP* flat_hdp_model(const char* alphabet, int64_t alphabet_size, int64_t kmer_length,
double base_gamma, double leaf_gamma,
double sampling_grid_start, double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
double* gamma_params = (double*) malloc(sizeof(double) * 2);
gamma_params[0] = base_gamma;
gamma_params[1] = leaf_gamma;
int64_t num_dps = flat_hdp_num_dps(alphabet_size, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp(num_dps, 2, gamma_params, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
flat_hdp_model_internal(hdp, alphabet_size, kmer_length);
finalize_hdp_structure(hdp);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
NanoporeHDP* flat_hdp_model_2(const char* alphabet, int64_t alphabet_size, int64_t kmer_length,
double base_gamma_alpha, double base_gamma_beta,
double leaf_gamma_alpha, double leaf_gamma_beta,
double sampling_grid_start, double sampling_grid_stop,
int64_t sampling_grid_length, const char* model_filepath) {
double* gamma_alpha = (double*) malloc(sizeof(double) * 2);
gamma_alpha[0] = base_gamma_alpha;
gamma_alpha[1] = leaf_gamma_alpha;
double* gamma_beta = (double*) malloc(sizeof(double) * 2);
gamma_beta[0] = base_gamma_beta;
gamma_beta[1] = leaf_gamma_beta;
int64_t num_dps = flat_hdp_num_dps(alphabet_size, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp_2(num_dps, 2, gamma_alpha, gamma_beta, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
flat_hdp_model_internal(hdp, alphabet_size, kmer_length);
finalize_hdp_structure(hdp);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
int64_t multiset_hdp_num_dps(int64_t alphabet_size, int64_t kmer_length) {
int64_t num_leaves = power(alphabet_size, kmer_length);
int64_t num_middle_dps = multiset_number(alphabet_size, kmer_length);
return num_leaves + num_middle_dps + 1;
}
void multiset_hdp_model_internal(HierarchicalDirichletProcess* hdp, int64_t alphabet_size, int64_t kmer_length) {
int64_t num_leaves = power(alphabet_size, kmer_length);
int64_t num_middle_dps = multiset_number(alphabet_size, kmer_length);
// set kmer parents to multisets
int64_t multiset_id;
for (int64_t kmer_id = 0; kmer_id < num_leaves; kmer_id++) {
multiset_id = word_id_to_multiset_id(kmer_id, alphabet_size, kmer_length);
set_dir_proc_parent(hdp, kmer_id, num_leaves + multiset_id);
}
// set multiset parents to base dp
int64_t last_dp_id = num_leaves + num_middle_dps;
for (int64_t middle_dp_id = num_leaves; middle_dp_id < last_dp_id; middle_dp_id++) {
set_dir_proc_parent(hdp, middle_dp_id, last_dp_id);
}
}
NanoporeHDP* multiset_hdp_model(const char* alphabet, int64_t alphabet_size, int64_t kmer_length,
double base_gamma, double middle_gamma, double leaf_gamma,
double sampling_grid_start, double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
double* gamma_params = (double*) malloc(sizeof(double) * 3);
gamma_params[0] = base_gamma;
gamma_params[1] = middle_gamma;
gamma_params[2] = leaf_gamma;
int64_t num_dps = multiset_hdp_num_dps(alphabet_size, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp(num_dps, 3, gamma_params, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
multiset_hdp_model_internal(hdp, alphabet_size, kmer_length);
finalize_hdp_structure(hdp);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
NanoporeHDP* multiset_hdp_model_2(const char* alphabet, int64_t alphabet_size, int64_t kmer_length,
double base_gamma_alpha, double base_gamma_beta,
double middle_gamma_alpha, double middle_gamma_beta,
double leaf_gamma_alpha, double leaf_gamma_beta,
double sampling_grid_start, double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
double* gamma_alpha = (double*) malloc(sizeof(double) * 3);
gamma_alpha[0] = base_gamma_alpha;
gamma_alpha[1] = middle_gamma_alpha;
gamma_alpha[2] = leaf_gamma_alpha;
double* gamma_beta = (double*) malloc(sizeof(double) * 3);
gamma_beta[0] = base_gamma_beta;
gamma_beta[1] = middle_gamma_beta;
gamma_beta[2] = leaf_gamma_beta;
int64_t num_dps = multiset_hdp_num_dps(alphabet_size, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp_2(num_dps, 3, gamma_alpha, gamma_beta, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
multiset_hdp_model_internal(hdp, alphabet_size, kmer_length);
finalize_hdp_structure(hdp);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
int64_t middle_2_nts_hdp_num_dps(int64_t alphabet_size, int64_t kmer_length) {
if (kmer_length <= 2) {
fprintf(stderr, "k-mer is not long enough for middle 2 nucleotides HDP\n");
exit(EXIT_FAILURE);
}
return power(alphabet_size, kmer_length) + power(alphabet_size, 2) + 1;
}
int64_t kmer_id_to_middle_nts_id(int64_t kmer_id, int64_t alphabet_size, int64_t kmer_length) {
int64_t* kmer = get_word(kmer_id, alphabet_size, kmer_length);
int64_t id = alphabet_size * kmer[kmer_length / 2 - 1] + kmer[kmer_length / 2];
free(kmer);
return id;
}
void middle_2_nts_hdp_model_internal(HierarchicalDirichletProcess* hdp, int64_t alphabet_size, int64_t kmer_length) {
int64_t num_leaves = power(alphabet_size, kmer_length);
int64_t num_middle_dps = power(alphabet_size, 2);
int64_t middle_dp_id;
for (int64_t kmer_id = 0; kmer_id < num_leaves; kmer_id++) {
middle_dp_id = kmer_id_to_middle_nts_id(kmer_id, alphabet_size, kmer_length);
set_dir_proc_parent(hdp, kmer_id, middle_dp_id + num_leaves);
}
int64_t last_dp_id = num_leaves + num_middle_dps;
for (int64_t id = num_leaves; id < last_dp_id; id++) {
set_dir_proc_parent(hdp, id, last_dp_id);
}
}
NanoporeHDP* middle_2_nts_hdp_model(const char* alphabet, int64_t alphabet_size, int64_t kmer_length,
double base_gamma, double middle_gamma, double leaf_gamma,
double sampling_grid_start, double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
if (kmer_length % 2 != 0) {
fprintf(stderr, "Warning: middle two nucleotides of odd length kmer is ambiguous. Resolving arbitrarily.\n");
}
double* gamma_params = (double*) malloc(sizeof(double) * 3);
gamma_params[0] = base_gamma;
gamma_params[1] = middle_gamma;
gamma_params[2] = leaf_gamma;
int64_t num_dps = middle_2_nts_hdp_num_dps(alphabet_size, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp(num_dps, 3, gamma_params, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
middle_2_nts_hdp_model_internal(hdp, alphabet_size, kmer_length);
finalize_hdp_structure(hdp);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
int64_t word_id_to_group_multiset_id(int64_t word_id, int64_t* char_groups, int64_t alphabet_size,
int64_t word_length, int64_t num_groups) {
int64_t* word = get_word(word_id, alphabet_size, word_length);
for (int64_t i = 0; i < word_length; i++) {
word[i] = char_groups[word[i]];
}
int64_t min_idx;
int64_t temp;
for (int64_t i = 0; i < word_length; i++) {
min_idx = i;
for (int64_t j = i + 1; j < word_length; j++) {
if (word[j] < word[min_idx]) {
min_idx = j;
}
}
temp = word[i];
word[i] = word[min_idx];
word[min_idx] = temp;
}
int64_t id = multiset_id(word, word_length, num_groups);
free(word);
return id;
}
int64_t group_multiset_hdp_num_dps(int64_t alphabet_size, int64_t* char_groups, int64_t kmer_length) {
int64_t num_groups = 0;
for (int64_t i = 0; i < alphabet_size; i++) {
if (char_groups[i] + 1 > num_groups) {
num_groups = char_groups[i] + 1;
}
}
int64_t num_leaves = power(alphabet_size, kmer_length);
int64_t num_middle_dps = multiset_number(num_groups, kmer_length);
return num_leaves + num_middle_dps + 1;
}
void group_multiset_hdp_model_internal(HierarchicalDirichletProcess* hdp, int64_t* char_groups,
int64_t alphabet_size, int64_t kmer_length) {
int64_t num_groups = 0;
for (int64_t i = 0; i < alphabet_size; i++) {
if (char_groups[i] + 1 > num_groups) {
num_groups = char_groups[i] + 1;
}
}
int64_t num_leaves = power(alphabet_size, kmer_length);
int64_t num_middle_dps = multiset_number(num_groups, kmer_length);
// set kmer parents to multisets
int64_t multiset_id;
for (int64_t kmer_id = 0; kmer_id < num_leaves; kmer_id++) {
multiset_id = word_id_to_group_multiset_id(kmer_id, char_groups, alphabet_size, kmer_length, num_groups);
set_dir_proc_parent(hdp, kmer_id, num_leaves + multiset_id);
}
// set multiset parents to base dp
int64_t last_dp_id = num_leaves + num_middle_dps;
for (int64_t middle_dp_id = num_leaves; middle_dp_id < last_dp_id; middle_dp_id++) {
set_dir_proc_parent(hdp, middle_dp_id, last_dp_id);
}
}
void confirm_valid_groupings(int64_t* char_groups, int64_t alphabet_size) {
for (int64_t i = 0; i < alphabet_size; i++) {
if (char_groups[i] < 0) {
fprintf(stderr, "Group numbers must be non-negative.\n");
exit(EXIT_FAILURE);
}
}
int64_t num_groups = 0;
for (int64_t i = 0; i < alphabet_size; i++) {
if (char_groups[i] + 1 > num_groups) {
num_groups = char_groups[i] + 1;
}
}
for (int64_t i = 0; i < num_groups; i++) {
bool found_group = false;
for (int64_t j = 0; j < alphabet_size; j++) {
if (char_groups[j] == i) {
found_group = true;
break;
}
}
if (!found_group) {
fprintf(stderr, "Groups must be consecutively numbered starting with 0.\n");
exit(EXIT_FAILURE);
}
}
}
int64_t* alphabet_sort_groups(const char* alphabet, int64_t* char_groups, int64_t alphabet_size) {
char* aux_alphabet = (char*) malloc(sizeof(char) * alphabet_size);
int64_t* sorted_char_groups = (int64_t*) malloc(sizeof(int64_t) * alphabet_size);
for (int64_t i = 0; i < alphabet_size; i++) {
aux_alphabet[i] = alphabet[i];
sorted_char_groups[i] = char_groups[i];
}
int64_t temp_group;
char temp_char;
int64_t min_idx;
for (int64_t i = 0; i < alphabet_size; i++) {
min_idx = i;
for (int64_t j = i + 1; j < alphabet_size; j++) {
if (aux_alphabet[j] < aux_alphabet[min_idx]) {
min_idx = j;
}
}
temp_char = aux_alphabet[i];
aux_alphabet[i] = aux_alphabet[min_idx];
aux_alphabet[min_idx] = temp_char;
temp_group = sorted_char_groups[i];
sorted_char_groups[i] = sorted_char_groups[min_idx];
sorted_char_groups[min_idx] = temp_group;
}
free(aux_alphabet);
return sorted_char_groups;
}
// assumes char_groups are 0-based and consecutively numbered
NanoporeHDP* group_multiset_hdp_model(const char* alphabet, int64_t* char_groups, int64_t alphabet_size, int64_t kmer_length,
double base_gamma, double middle_gamma, double leaf_gamma,
double sampling_grid_start, double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
confirm_valid_groupings(char_groups, alphabet_size);
double* gamma_params = (double*) malloc(sizeof(double) * 3);
gamma_params[0] = base_gamma;
gamma_params[1] = middle_gamma;
gamma_params[2] = leaf_gamma;
int64_t num_dps = group_multiset_hdp_num_dps(alphabet_size, char_groups, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp(num_dps, 3, gamma_params, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
int64_t* sorted_char_groups = alphabet_sort_groups(alphabet, char_groups, alphabet_size);
group_multiset_hdp_model_internal(hdp, sorted_char_groups, alphabet_size, kmer_length);
free(sorted_char_groups);
finalize_hdp_structure(hdp);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
// assumes char_groups are 0-based and consecutively numbered
NanoporeHDP* group_multiset_hdp_model_2(const char* alphabet, int64_t* char_groups, int64_t alphabet_size, int64_t kmer_length,
double base_gamma_alpha, double base_gamma_beta, double middle_gamma_alpha,
double middle_gamma_beta, double leaf_gamma_alpha, double leaf_gamma_beta,
double sampling_grid_start, double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
confirm_valid_groupings(char_groups, alphabet_size);
double *gamma_alpha = (double *) malloc(sizeof(double) * 3);
gamma_alpha[0] = base_gamma_alpha;
gamma_alpha[1] = middle_gamma_alpha;
gamma_alpha[2] = leaf_gamma_alpha;
double *gamma_beta = (double *) malloc(sizeof(double) * 3);
gamma_beta[0] = base_gamma_beta;
gamma_beta[1] = middle_gamma_beta;
gamma_beta[2] = leaf_gamma_beta;
int64_t num_dps = group_multiset_hdp_num_dps(alphabet_size, char_groups, kmer_length);
HierarchicalDirichletProcess *hdp = minION_hdp_2(num_dps, 3, gamma_alpha, gamma_beta, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
int64_t *sorted_char_groups = alphabet_sort_groups(alphabet, char_groups, alphabet_size);
group_multiset_hdp_model_internal(hdp, sorted_char_groups, alphabet_size, kmer_length);
free(sorted_char_groups);
finalize_hdp_structure(hdp);
NanoporeHDP *nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
NanoporeHDP* middle_2_nts_hdp_model_2(const char* alphabet, int64_t alphabet_size, int64_t kmer_length,
double base_gamma_alpha, double base_gamma_beta, double middle_gamma_alpha,
double middle_gamma_beta, double leaf_gamma_alpha, double leaf_gamma_beta,
double sampling_grid_start, double sampling_grid_stop,
int64_t sampling_grid_length, const char* model_filepath) {
if (kmer_length % 2 != 0) {
fprintf(stderr, "Warning: middle 2 nucleotides of odd length kmer is ambiguous. Resolving arbitrarily.\n");
}
double* gamma_alpha = (double*) malloc(sizeof(double) * 3);
gamma_alpha[0] = base_gamma_alpha;
gamma_alpha[1] = middle_gamma_alpha;
gamma_alpha[2] = leaf_gamma_alpha;
double* gamma_beta = (double*) malloc(sizeof(double) * 3);
gamma_beta[0] = base_gamma_beta;
gamma_beta[1] = middle_gamma_beta;
gamma_beta[2] = leaf_gamma_beta;
int64_t num_dps = middle_2_nts_hdp_num_dps(alphabet_size, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp_2(num_dps, 3, gamma_alpha, gamma_beta, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
middle_2_nts_hdp_model_internal(hdp, alphabet_size, kmer_length);
finalize_hdp_structure(hdp);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
return nhdp;
}
int64_t purine_composition_hdp_num_dps(int64_t num_purines, int64_t num_pyrimidines, int64_t kmer_length) {
int64_t num_leaves = power(num_purines + num_pyrimidines, kmer_length);
int64_t num_middle_dps = kmer_length + 1;
return num_leaves + num_middle_dps + 1;
}
void purine_composition_hdp_model_internal(HierarchicalDirichletProcess* hdp, bool* purine_alphabet,
int64_t alphabet_size, int64_t kmer_length) {
int64_t num_leaves = power(alphabet_size, kmer_length);
int64_t num_middle_dps = kmer_length + 1;
// set kmer parents to purine multisets
int64_t num_purines;
int64_t* word;
for (int64_t kmer_id = 0; kmer_id < num_leaves; kmer_id++) {
word = get_word(kmer_id, alphabet_size, kmer_length);
num_purines = 0;
for (int64_t i = 0; i < kmer_length; i++) {
if (purine_alphabet[word[i]]) {
num_purines++;
}
}
free(word);
set_dir_proc_parent(hdp, kmer_id, num_leaves + num_purines);
}
// set purine set parents to base dp
int64_t last_dp_id = num_leaves + num_middle_dps;
for (int64_t middle_dp_id = num_leaves; middle_dp_id < last_dp_id; middle_dp_id++) {
set_dir_proc_parent(hdp, middle_dp_id, last_dp_id);
}
}
NanoporeHDP* purine_composition_hdp_model(char* purine_alphabet, int64_t num_purines,
char* pyrimidine_alphabet, int64_t num_pyrimidines,
int64_t kmer_length, double base_gamma, double middle_gamma,
double leaf_gamma, double sampling_grid_start, double sampling_grid_stop,
int64_t sampling_grid_length, const char* model_filepath) {
double* gamma_params = (double*) malloc(sizeof(double) * 3);
gamma_params[0] = base_gamma;
gamma_params[1] = middle_gamma;
gamma_params[2] = leaf_gamma;
int64_t num_dps = purine_composition_hdp_num_dps(num_purines, num_pyrimidines, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp(num_dps, 3, gamma_params, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
int64_t alphabet_size = num_purines + num_pyrimidines;
char* alphabet = (char*) malloc(sizeof(char) * alphabet_size);
for (int64_t i = 0; i < num_purines; i++) {
alphabet[i] = purine_alphabet[i];
}
for (int64_t i = 0; i < num_pyrimidines; i++) {
alphabet[i + num_purines] = pyrimidine_alphabet[i];
}
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
// get back the alphabet in the internal ordering
free(alphabet);
alphabet = get_nanopore_hdp_alphabet(nhdp);
bool* purines = (bool*) malloc(sizeof(bool) * alphabet_size);
for (int64_t i = 0; i < num_purines; i++) {
purines[i] = false;
for (int64_t j = 0; j < num_purines; j++) {
if (alphabet[i] == purine_alphabet[j]) {
purines[i] = true;
break;
}
}
}
free(alphabet);
purine_composition_hdp_model_internal(hdp, purines, alphabet_size, kmer_length);
free(purines);
finalize_hdp_structure(hdp);
return nhdp;
}
NanoporeHDP* purine_composition_hdp_model_2(char* purine_alphabet, int64_t num_purines,
char* pyrimidine_alphabet, int64_t num_pyrimidines,
int64_t kmer_length, double base_gamma_alpha, double base_gamma_beta,
double middle_gamma_alpha, double middle_gamma_beta,
double leaf_gamma_alpha, double leaf_gamma_beta, double sampling_grid_start,
double sampling_grid_stop, int64_t sampling_grid_length,
const char* model_filepath) {
double* gamma_alpha = (double*) malloc(sizeof(double) * 3);
gamma_alpha[0] = base_gamma_alpha;
gamma_alpha[1] = middle_gamma_alpha;
gamma_alpha[2] = leaf_gamma_alpha;
double* gamma_beta = (double*) malloc(sizeof(double) * 3);
gamma_beta[0] = base_gamma_beta;
gamma_beta[1] = middle_gamma_beta;
gamma_beta[2] = leaf_gamma_beta;
int64_t num_dps = purine_composition_hdp_num_dps(num_purines, num_pyrimidines, kmer_length);
HierarchicalDirichletProcess* hdp = minION_hdp_2(num_dps, 3, gamma_alpha, gamma_beta, sampling_grid_start,
sampling_grid_stop, sampling_grid_length,
model_filepath);
int64_t alphabet_size = num_purines + num_pyrimidines;
char* alphabet = (char*) malloc(sizeof(char) * alphabet_size);
for (int64_t i = 0; i < num_purines; i++) {
alphabet[i] = purine_alphabet[i];
}
for (int64_t i = 0; i < num_pyrimidines; i++) {
alphabet[i + num_purines] = pyrimidine_alphabet[i];
}
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
// get back the alphabet in the internal ordering
free(alphabet);
alphabet = get_nanopore_hdp_alphabet(nhdp);
bool* purines = (bool*) malloc(sizeof(bool) * alphabet_size);
for (int64_t i = 0; i < alphabet_size; i++) {
purines[i] = false;
for (int64_t j = 0; j < num_purines; j++) {
if (alphabet[i] == purine_alphabet[j]) {
purines[i] = true;
break;
}
}
}
free(alphabet);
purine_composition_hdp_model_internal(hdp, purines, alphabet_size, kmer_length);
free(purines);
finalize_hdp_structure(hdp);
return nhdp;
}
void serialize_nhdp(NanoporeHDP* nhdp, const char* filepath) {
FILE* out = fopen(filepath, "w");
fprintf(out, "%"PRId64"\n", nhdp->alphabet_size);
fprintf(out, "%s\n", nhdp->alphabet);
fprintf(out, "%"PRId64"\n", nhdp->kmer_length);
serialize_hdp(nhdp->hdp, out);
fclose(out);
}
NanoporeHDP* deserialize_nhdp(const char* filepath) {
FILE* in = fopen(filepath, "r");
char* line = stFile_getLineFromFile(in);
int64_t alphabet_size;
sscanf(line, "%"SCNd64, &alphabet_size);
free(line);
line = stFile_getLineFromFile(in);
char* alphabet = (char*) malloc(sizeof(char) * alphabet_size);
sscanf(line, "%s", alphabet);
free(line);
line = stFile_getLineFromFile(in);
int64_t kmer_length;
sscanf(line, "%"SCNd64, &kmer_length);
free(line);
HierarchicalDirichletProcess* hdp = deserialize_hdp(in);
fclose(in);
NanoporeHDP* nhdp = package_nanopore_hdp(hdp, alphabet, alphabet_size, kmer_length);
free(alphabet);
return nhdp;
}
static void nanoporeHdp_checkThreeLevelPriorParameters(double baseGammaAlpha, double baseGammaBeta,
double middleGammaAlpha, double middleGammaBeta,
double leafGammaAlpha, double leafGammaBeta) {
if ((baseGammaAlpha == NULL_HYPERPARAMETER) || (baseGammaBeta == NULL_HYPERPARAMETER) ||
(middleGammaAlpha == NULL_HYPERPARAMETER) || (middleGammaBeta == NULL_HYPERPARAMETER) ||
(leafGammaAlpha == NULL_HYPERPARAMETER) || (leafGammaBeta == NULL_HYPERPARAMETER)) {
st_errAbort("loadNanoporeHdpFromScratch: You need to provide a alphas and betas for the base, middle, "
"and the leaf distributions for the prior for this NanoporeHdp");
}
}
static void nanoporeHdp_checkThreeLevelFixedParameters(double baseGamma, double middleGamma, double leafGamma) {
if ((baseGamma == NULL_HYPERPARAMETER) || (leafGamma == NULL_HYPERPARAMETER) ||
(middleGamma == NULL_HYPERPARAMETER)) {
st_errAbort("loadNanoporeHdpFromScratch: You need to provide a base gamma, middle gamma, and leaf gamma "
"for this NanoporeHdpType\n");
}
}
static void nanoporeHdp_checkTwoLevelPriorParameters(double baseGammaAlpha, double baseGammaBeta,
double leafGammaAlpha, double leafGammaBeta) {
if ((baseGammaAlpha == NULL_HYPERPARAMETER) || (baseGammaBeta == NULL_HYPERPARAMETER) ||
(leafGammaAlpha == NULL_HYPERPARAMETER) || (leafGammaBeta == NULL_HYPERPARAMETER)) {
st_errAbort("loadNanoporeHdpFromScratch: You need to provide a alphas and betas for the base and the leaf"
"distributions for the prior for this NanoporeHdp");
}
}
static NanoporeHDP *loadNanoporeHdpFromScratch(NanoporeHdpType nHdpType, const char *modelFile, int64_t kmerLength,
double baseGamma, double middleGamma, double leafGamma,
double baseGammaAlpha, double baseGammaBeta,
double middleGammaAlpha, double middleGammaBeta,
double leafGammaAlpha, double leafGammaBeta,
double samplingGridStart, double samplingGridEnd,
int64_t samplingGridLength) {
if (nHdpType == singleLevelFixed) {
if ((baseGamma == NULL_HYPERPARAMETER) || (leafGamma == NULL_HYPERPARAMETER)) {
st_errAbort("loadNanoporeHdpFromScratch: You need to provide a base gamma and leaf gamma "
"for this NanoporeHdpType\n");
}
NanoporeHDP *nHdp = flat_hdp_model(METHYL_HYDROXY_CYTOSINE_ALPHA, SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGamma, leafGamma,
samplingGridStart, samplingGridEnd, samplingGridLength, modelFile);
return nHdp;
}
if (nHdpType == singleLevelPrior) {
nanoporeHdp_checkTwoLevelPriorParameters(baseGammaAlpha, baseGammaBeta, leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = flat_hdp_model_2(METHYL_HYDROXY_CYTOSINE_ALPHA, SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGammaAlpha, baseGammaBeta, leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == singleLevelPrior2) {
nanoporeHdp_checkTwoLevelPriorParameters(baseGammaAlpha, baseGammaBeta, leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = flat_hdp_model_2(METHYL_CYTOSINE_ALPHA, SYMBOL_NUMBER, kmerLength,
baseGammaAlpha, baseGammaBeta, leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == singleLevelPriorEcoli) {
nanoporeHdp_checkTwoLevelPriorParameters(baseGammaAlpha, baseGammaBeta, leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = flat_hdp_model_2(METHYL_CYTOSINE_ADENOSINE_ALPHA, SYMBOL_NUMBER_METHYL_CA, kmerLength,
baseGammaAlpha, baseGammaBeta, leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == multisetFixed) {
nanoporeHdp_checkThreeLevelFixedParameters(baseGamma, middleGamma, leafGamma);
NanoporeHDP *nHdp = multiset_hdp_model(METHYL_HYDROXY_CYTOSINE_ALPHA, SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGamma, middleGamma, leafGamma,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == multisetPrior) {
nanoporeHdp_checkThreeLevelPriorParameters(baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = multiset_hdp_model_2(METHYL_HYDROXY_CYTOSINE_ALPHA, SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == multisetPrior2) {
nanoporeHdp_checkThreeLevelPriorParameters(baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = multiset_hdp_model_2(METHYL_CYTOSINE_ALPHA, SYMBOL_NUMBER, kmerLength,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == multisetPriorEcoli) {
nanoporeHdp_checkThreeLevelPriorParameters(baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = multiset_hdp_model_2(METHYL_CYTOSINE_ADENOSINE_ALPHA, SYMBOL_NUMBER_METHYL_CA, kmerLength,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == compFixed) {
nanoporeHdp_checkThreeLevelFixedParameters(baseGamma, middleGamma, leafGamma);
NanoporeHDP *nHdp = purine_composition_hdp_model(PURINES, 2, PYRIMIDINES, 4, kmerLength,
baseGamma, middleGamma, leafGamma,
samplingGridStart, samplingGridEnd,
samplingGridLength, modelFile);
return nHdp;
}
if (nHdpType == compPrior) {
nanoporeHdp_checkThreeLevelPriorParameters(baseGammaAlpha, baseGammaBeta, middleGammaAlpha,
middleGammaBeta, leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = purine_composition_hdp_model_2(PURINES, 2, PYRIMIDINES, 4, kmerLength,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd,
samplingGridLength, modelFile);
return nHdp;
}
if (nHdpType == middleNtsFixed) {
nanoporeHdp_checkThreeLevelFixedParameters(baseGamma, middleGamma, leafGamma);
NanoporeHDP *nHdp = middle_2_nts_hdp_model(METHYL_HYDROXY_CYTOSINE_ALPHA, SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGamma, middleGamma, leafGamma,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == middleNtsPrior) {
nanoporeHdp_checkThreeLevelPriorParameters(baseGammaAlpha, baseGammaBeta, middleGammaAlpha,
middleGammaBeta, leafGammaAlpha, leafGammaBeta);
NanoporeHDP *nHdp = middle_2_nts_hdp_model_2(METHYL_HYDROXY_CYTOSINE_ALPHA, SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == groupMultisetFixed) {
nanoporeHdp_checkThreeLevelFixedParameters(baseGamma, middleGamma, leafGamma);
// ACEGOT
// {0, 1, 1, 2, 1, 3}
int64_t groups[6] = {0, 1, 1, 2, 1, 3};
NanoporeHDP *nHdp = group_multiset_hdp_model(METHYL_HYDROXY_CYTOSINE_ALPHA, groups, SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGamma, middleGamma, leafGamma,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
if (nHdpType == groupMultisetPrior) {
nanoporeHdp_checkThreeLevelPriorParameters(baseGammaAlpha, baseGammaBeta, middleGammaAlpha,
middleGammaBeta, leafGammaAlpha, leafGammaBeta);
// ACEGOT
// {0, 1, 1, 2, 1, 3}
int64_t groups[6] = {0, 1, 1, 2, 1, 3};
NanoporeHDP *nHdp = group_multiset_hdp_model_2(METHYL_HYDROXY_CYTOSINE_ALPHA, groups,
SYMBOL_NUMBER_EPIGENETIC_C, kmerLength,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength,
modelFile);
return nHdp;
}
else {
fprintf(stderr, "loadNanoporeHdpFromScratch: - error making HDP from scratch\n");
exit(EXIT_FAILURE);
}
}
void nanoporeHdp_buildNanoporeHdpFromAlignment(NanoporeHdpType type, int64_t kmerLength,
const char *templateModelFile, const char* complementModelFile,
const char *alignments,
const char *templateHDP, const char *complementHDP,
int64_t nbSamples, int64_t burnIn, int64_t thinning, bool verbose,
double baseGamma, double middleGamma, double leafGamma,
double baseGammaAlpha, double baseGammaBeta,
double middleGammaAlpha, double middleGammaBeta,
double leafGammaAlpha, double leafGammaBeta,
double samplingGridStart, double samplingGridEnd,
int64_t samplingGridLength) {
fprintf(stderr, "Building Nanopore HDP\n");
#pragma omp parallel sections
{
{
fprintf(stderr, "Updating Template HDP from alignments...\n");
NanoporeHDP *nHdpT = loadNanoporeHdpFromScratch(type, templateModelFile, kmerLength,
baseGamma, middleGamma, leafGamma,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength);
update_nhdp_from_alignment_with_filter(nHdpT, alignments, FALSE, "t");
fprintf(stderr, "Running Gibbs for template doing %"PRId64"samples, %"PRId64"burn in, %"PRId64"thinning.\n",
nbSamples, burnIn, thinning);
execute_nhdp_gibbs_sampling(nHdpT, nbSamples, burnIn, thinning, verbose);
finalize_nhdp_distributions(nHdpT);
fprintf(stderr, "Serializing template to %s...\n", templateHDP);
serialize_nhdp(nHdpT, templateHDP);
destroy_nanopore_hdp(nHdpT);
}
#pragma omp section
{
fprintf(stderr, "Updating Complement HDP from alignments...\n");
NanoporeHDP *nHdpC = loadNanoporeHdpFromScratch(type, complementModelFile, kmerLength,
baseGamma, middleGamma, leafGamma,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength);
update_nhdp_from_alignment_with_filter(nHdpC, alignments, FALSE, "c");
fprintf(stderr, "Running Gibbs for complement doing %"PRId64"samples, %"PRId64"burn in, %"PRId64"thinning.\n",
nbSamples, burnIn, thinning);
execute_nhdp_gibbs_sampling(nHdpC, nbSamples, burnIn, thinning, verbose);
finalize_nhdp_distributions(nHdpC);
fprintf(stderr, "Serializing complement to %s...\n", complementHDP);
serialize_nhdp(nHdpC, complementHDP);
destroy_nanopore_hdp(nHdpC);
}
}
}
void nanoporeHdp_buildOneDHdpFromAlignment(NanoporeHdpType type, int64_t kmerLength,
const char *templateModelFile,
const char *alignments,
const char *templateHDP,
int64_t nbSamples, int64_t burnIn, int64_t thinning, bool verbose,
double baseGamma, double middleGamma, double leafGamma,
double baseGammaAlpha, double baseGammaBeta,
double middleGammaAlpha, double middleGammaBeta,
double leafGammaAlpha, double leafGammaBeta,
double samplingGridStart, double samplingGridEnd,
int64_t samplingGridLength) {
fprintf(stderr, "Updating Template HDP from alignments...\n");
NanoporeHDP *nHdpT = loadNanoporeHdpFromScratch(type, templateModelFile, kmerLength,
baseGamma, middleGamma, leafGamma,
baseGammaAlpha, baseGammaBeta,
middleGammaAlpha, middleGammaBeta,
leafGammaAlpha, leafGammaBeta,
samplingGridStart, samplingGridEnd, samplingGridLength);
update_nhdp_from_alignment_with_filter(nHdpT, alignments, FALSE, "t");
fprintf(stderr, "Running Gibbs for template doing %"PRId64"samples, %"PRId64"burn in, %"PRId64"thinning.\n",
nbSamples, burnIn, thinning);
execute_nhdp_gibbs_sampling(nHdpT, nbSamples, burnIn, thinning, verbose);
finalize_nhdp_distributions(nHdpT);
fprintf(stderr, "Serializing template to %s...\n", templateHDP);
serialize_nhdp(nHdpT, templateHDP);
destroy_nanopore_hdp(nHdpT);
}
|
util.c | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/time.h>
#include <math.h>
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_blas.h>
#include <gsl/gsl_rng.h>
#include <gsl/gsl_randist.h>
void read_matrix(int** index, int** matrix, double scaling, int N_kw, char* input_fileName)
{
FILE *fp = fopen(input_fileName, "r");
fscanf(fp, "%*[^\n]\n");
for (int ii = 0; ii < N_kw; ii++)
fscanf(fp, "%d,", &((*index)[ii]));
fscanf(fp, "%*[^\n]\n");
int tmp;
for (int ii = 0; ii < N_kw; ii++)
{
for (int jj = 0; jj < N_kw; jj++)
{
fscanf(fp, "%d,", &tmp);
(*matrix)[ii*N_kw + jj] = (int) (tmp * scaling);
}
fscanf(fp, "%*[^\n]\n");
}
fclose(fp);
}
void pad_matrix(int** matrix_padded, int** matrix, int m, double p, double q, int N_kw, int N_doc)
{
// Initialising RNG
const gsl_rng_type * T;
gsl_rng * r;
gsl_rng_env_setup();
T = gsl_rng_default;
r = gsl_rng_alloc(T);
// perform padding
int ii, jj;
#pragma omp parallel for private(ii, jj)
for (ii = 0; ii < N_kw; ii++)
{
for (jj = 0; jj < N_kw; jj++)
{
if (ii == jj)
(*matrix_padded)[ii*N_kw + jj] = gsl_ran_binomial(r, p, m*(*matrix)[ii*N_kw + jj]) + gsl_ran_binomial(r, q, m*(N_doc - (*matrix)[ii*N_kw + jj]));
if (ii > jj)
{
int N1 = (*matrix)[ii*N_kw + jj];
int N2 = (*matrix)[ii*N_kw + ii] + (*matrix)[jj*N_kw + jj] - 2*(*matrix)[ii*N_kw + jj];
int N3 = N_doc - N1 - N2;
int n1 = gsl_ran_binomial(r, p*p, m*N1);
int n2 = gsl_ran_binomial(r, p*q, m*N2);
int n3 = gsl_ran_binomial(r, q*q, m*N3);
(*matrix_padded)[ii*N_kw + jj] = n1 + n2 + n3;
(*matrix_padded)[jj*N_kw + ii] = n1 + n2 + n3;
}
}
}
gsl_rng_free(r);
}
void observe_matrix(gsl_matrix* matrix_obs, int** matrix_padded, int N_kw)
{
// perform observed count generation
for (int ii = 0; ii < N_kw; ii++)
for (int jj = 0; jj < N_kw; jj++)
gsl_matrix_set(matrix_obs, ii, jj, (double) ((*matrix_padded)[ii*N_kw + jj]));
}
void solution_initial(int** permutation, gsl_matrix* matrix_obs, int** matrix, int m, double p, double q, int N_kw, int N_obs, int N_doc)
{
int* diff = (int*) malloc(sizeof(int) * N_kw);
int* index = (int*) malloc(sizeof(int) * N_kw);
int* occupied = (int*) malloc(sizeof(int) * N_kw);
for (int ii = 0; ii < N_kw; ii++)
occupied[ii] = -1;
for (int ii = 0; ii < N_obs; ii++)
{
// reset index
for (int jj = 0; jj < N_kw; jj++)
index[jj] = jj;
// compute differences
for (int jj = 0; jj < N_kw; jj++)
diff[jj] = abs(gsl_matrix_get(matrix_obs, ii, ii) - m * p * (*matrix)[jj*N_kw+jj] - m * q * (N_doc - (*matrix)[jj*N_kw+jj]));
// sorting
for (int jj = 0; jj < N_kw-1; jj++)
{
for (int kk = 0; kk < N_kw-jj-1; kk++)
{
if (diff[kk] > diff[kk+1])
{
int temp = diff[kk+1];
diff[kk+1] = diff[kk];
diff[kk] = temp;
temp = index[kk+1];
index[kk+1] = index[kk];
index[kk] = temp;
}
}
}
// use the smallest index available
int idx = 0;
while (occupied[index[idx]] > 0)
idx++;
// update the data structures
(*permutation)[ii] = index[idx];
occupied[index[idx]] = 1;
}
//for (int ii = 200; ii < 250; ii++)
//{
// printf("%f\n", gsl_matrix_get(matrix_obs, ii, ii) - m * p * (*matrix)[(*permutation)[ii]*N_kw+(*permutation)[ii]] - m * q * (N_doc - (*matrix)[(*permutation)[ii]*N_kw+(*permutation)[ii]]));
//}
}
void permutation_generation(int* idx1, int* idx2, int** permutation_tmp, int** permutation, int** permutation_inv, gsl_matrix* matrix_obs, int** matrix, int m, double p, double q, int N_kw, int N_obs, int N_doc)
{
double N1_mean, N1_var, N1_lower, N1_upper, N2_mean, N2_var, N2_lower, N2_upper;
int check = -1;
int count = 0;
*idx1 = rand() % N_obs;
*idx2 = -1;
int idx_old = (*permutation)[*idx1];
int idx_new = 0;
do {
idx_new = rand() % N_kw;
count++;
if ((*permutation_inv)[idx_new] >= 0)
{
*idx2 = (*permutation_inv)[idx_new];
N1_mean = m * p * (*matrix)[idx_new*N_kw + idx_new] + m * q * (N_doc - (*matrix)[idx_new*N_kw + idx_new]);
N1_var = (*matrix)[idx_new*N_kw + idx_new] / (double) N_doc * (N_doc - (*matrix)[idx_new*N_kw + idx_new]) * 2.0 * m;
N1_var += m * p * (1-p) * (*matrix)[idx_new*N_kw + idx_new] + m * q * (1-q) * (N_doc - (*matrix)[idx_new*N_kw + idx_new]);
N1_var = 3*sqrt(N1_var);
N1_lower = N1_mean - N1_var;
N1_upper = N1_mean + N1_var;
N2_mean = m * p * (*matrix)[idx_old*N_kw + idx_old] + m * q * (N_doc - (*matrix)[idx_old*N_kw + idx_old]);
N2_var = (*matrix)[idx_old*N_kw + idx_old] / (double) N_doc * (N_doc - (*matrix)[idx_old*N_kw + idx_old]) * 2.0 * m ;
N2_var += m * p * (1-p) * (*matrix)[idx_old*N_kw + idx_old] + m * q * (1-q)* (N_doc - (*matrix)[idx_old*N_kw + idx_old]);
N2_var = 3*sqrt(N2_var);
N2_lower = N2_mean - N2_var;
N2_upper = N2_mean + N2_var;
if ((gsl_matrix_get(matrix_obs, *idx1, *idx1) > N1_lower) && (gsl_matrix_get(matrix_obs, *idx1, *idx1) < N1_upper))
if ((gsl_matrix_get(matrix_obs, *idx2, *idx2) > N2_lower) && (gsl_matrix_get(matrix_obs, *idx2, *idx2) < N2_upper))
check = 1;
}
else
{
*idx2 = (*permutation_inv)[idx_new];
N1_mean = m * p * (*matrix)[idx_new*N_kw + idx_new] + m * q * (N_doc - (*matrix)[idx_new*N_kw + idx_new]);
N1_var = (*matrix)[idx_new*N_kw + idx_new] / (double) N_doc * (N_doc - (*matrix)[idx_new*N_kw + idx_new]) * 2.0 * m;
N1_var += m * p * (1-p) * (*matrix)[idx_new*N_kw + idx_new] + m * q * (1-q) * (N_doc - (*matrix)[idx_new*N_kw + idx_new]);
N1_var = 3*sqrt(N1_var);
N1_lower = N1_mean - N1_var;
N1_upper = N1_mean + N1_var;
if ((gsl_matrix_get(matrix_obs, *idx1, *idx1) > N1_lower) && (gsl_matrix_get(matrix_obs, *idx1, *idx1) < N1_upper))
check = 1;
}
} while ((check < 0) && (count < 200));
if (count == 200)
*idx2 = *idx1;
if (*idx1 != *idx2)
{
(*permutation_tmp)[*idx1] = idx_new;
if ((*permutation_inv)[idx_new] >= 0)
{
*idx2 = (*permutation_inv)[idx_new];
(*permutation_tmp)[*idx2] = idx_old;
}
}
} |
Wparentheses-2.c | /* PR c/70436 */
/* { dg-additional-options "-Wparentheses" } */
int a, b, c;
void bar (void);
void baz (void);
void f1 (void);
#pragma omp declare target to (bar, baz, f1, a, b, c)
void
f1 (void)
{
int i, j;
if (a) /* { dg-warning "ambiguous" } */
#pragma omp distribute
for (i = 0; i < 10; i++)
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
for (i = 0; i < 10; i++)
#pragma omp distribute simd
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
if (a)
#pragma omp distribute parallel for
for (i = 0; i < 10; i++)
if (b) /* { dg-warning "ambiguous" } */
#pragma omp parallel for
for (j = 0; j < 10; j++)
if (c)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp distribute parallel for simd collapse(2)
for (i = 0; i < 10; i++)
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
if (a)
#pragma omp distribute
for (i = 0; i < 10; i++)
{
if (b)
bar ();
else
baz ();
}
if (a)
{
#pragma omp distribute simd
for (i = 0; i < 10; ++i)
if (b)
bar ();
}
else baz ();
if (a)
#pragma omp distribute parallel for collapse(2)
for (i = 0; i < 10; i++)
{
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
}
if (a)
for (i = 0; i < 10; i++)
#pragma omp distribute parallel for simd
for (j = 0; j < 10; j++)
{
if (b)
bar ();
}
else
baz ();
}
void
f2 (void)
{
int i, j;
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target teams distribute
for (i = 0; i < 10; i++)
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
for (i = 0; i < 10; i++)
#pragma omp target teams distribute simd
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
if (a)
#pragma omp target teams distribute parallel for
for (i = 0; i < 10; i++)
if (b) /* { dg-warning "ambiguous" } */
#pragma omp parallel for
for (j = 0; j < 10; j++)
if (c)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target teams distribute parallel for simd collapse(2)
for (i = 0; i < 10; i++)
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target teams
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target
#pragma omp parallel
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target parallel
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target simd
for (i = 0; i < 10; i++)
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target simd collapse(2)
for (i = 0; i < 10; i++)
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
if (a)
#pragma omp target teams distribute
for (i = 0; i < 10; i++)
{
if (b)
bar ();
else
baz ();
}
if (a)
{
#pragma omp target teams distribute simd
for (i = 0; i < 10; ++i)
if (b)
bar ();
}
else baz ();
if (a)
#pragma omp target teams distribute parallel for collapse(2)
for (i = 0; i < 10; i++)
{
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
}
if (a)
for (i = 0; i < 10; i++)
#pragma omp target teams distribute parallel for simd
for (j = 0; j < 10; j++)
{
if (b)
bar ();
}
else
baz ();
if (a)
#pragma omp target teams
{
if (b)
bar ();
}
else
baz ();
if (a)
#pragma omp target
#pragma omp parallel
{
if (b)
bar ();
else
baz ();
}
if (a)
#pragma omp target
{
if (b)
bar ();
}
else
baz ();
if (a)
#pragma omp target parallel
{
if (b)
bar ();
}
else
baz ();
if (a)
#pragma omp target simd
for (i = 0; i < 10; i++)
{
if (b)
bar ();
else
baz ();
}
if (a)
#pragma omp target simd
for (i = 0; i < 10; i++)
{
if (b)
bar ();
}
else
baz ();
if (a)
#pragma omp target simd collapse(2)
for (i = 0; i < 10; i++)
{ {
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
} }
if (a)
#pragma omp target simd collapse(2)
for (i = 0; i < 10; i++)
{ {
for (j = 0; j < 10; j++)
if (b)
bar ();
}
}
else
baz ();
}
void
f3 (void)
{
int i, j;
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target
#pragma omp teams distribute
for (i = 0; i < 10; i++)
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
for (i = 0; i < 10; i++)
#pragma omp target
#pragma omp teams distribute simd
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
if (a)
#pragma omp target
#pragma omp teams distribute parallel for
for (i = 0; i < 10; i++)
if (b) /* { dg-warning "ambiguous" } */
#pragma omp parallel for
for (j = 0; j < 10; j++)
if (c)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target
#pragma omp teams distribute parallel for simd collapse(2)
for (i = 0; i < 10; i++)
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target
#pragma omp teams
if (b)
bar ();
else
baz ();
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target
#pragma omp teams
#pragma omp parallel
if (b)
bar ();
else
baz ();
if (a)
#pragma omp target
#pragma omp teams distribute
for (i = 0; i < 10; i++)
{
if (b)
bar ();
else
baz ();
}
if (a)
{
#pragma omp target
#pragma omp teams distribute simd
for (i = 0; i < 10; ++i)
if (b)
bar ();
}
else baz ();
if (a)
#pragma omp target
#pragma omp teams distribute parallel for collapse(2)
for (i = 0; i < 10; i++)
{
for (j = 0; j < 10; j++)
if (b)
bar ();
else
baz ();
}
if (a)
for (i = 0; i < 10; i++)
#pragma omp target
#pragma omp teams distribute parallel for simd
for (j = 0; j < 10; j++)
{
if (b)
bar ();
}
else
baz ();
if (a)
#pragma omp target
#pragma omp teams
{
if (b)
bar ();
}
else
baz ();
if (a)
#pragma omp target
#pragma omp teams
#pragma omp parallel
{
if (b)
bar ();
else
baz ();
}
}
void
f4 (void)
{
if (a) /* { dg-warning "ambiguous" } */
#pragma omp target data map (tofrom: b)
if (b)
bar ();
else
baz ();
if (a)
#pragma omp target data map (tofrom: b)
{
if (b)
bar ();
else
baz ();
}
}
|
2945.c | /* POLYBENCH/GPU-OPENMP
*
* This file is a part of the Polybench/GPU-OpenMP suite
*
* Contact:
* William Killian <killian@udel.edu>
*
* Copyright 2013, The University of Delaware
*/
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <math.h>
/* Include polybench common header. */
#include <polybench.h>
/* Include benchmark-specific header. */
/* Default data type is double, default size is 4096x4096. */
#include "convolution-2d.h"
/* Array initialization. */
static
void init_array (int ni, int nj,
DATA_TYPE POLYBENCH_2D(A,NI,NJ,ni,nj))
{
// printf("Initializing Array\n");
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nj; j++)
{
A[i][j] = ((DATA_TYPE) (i + j) / nj);
}
}
/* DCE code. Must scan the entire live-out data.
Can be used also to check the correctness of the output. */
static
void print_array(int ni, int nj,
DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj))
{
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nj; j++) {
fprintf(stderr, DATA_PRINTF_MODIFIER, B[i][j]);
if ((i * NJ + j) % 20 == 0) fprintf(stderr, "\n");
}
fprintf(stderr, "\n");
}
/* Main computational kernel. The whole function will be timed,
including the call and return. */
static
void kernel_conv2d(int ni,
int nj,
DATA_TYPE POLYBENCH_2D(A,NI,NJ,ni,nj),
DATA_TYPE POLYBENCH_2D(B,NI,NJ,ni,nj))
{
int i, j;
#pragma scop
#pragma omp parallel for simd num_threads(28) private(j)
for (i = 1; i < _PB_NI - 1; ++i)
{
#pragma omp target teams distribute parallel for simd schedule(static, 28) num_threads(28) dist_schedule(static, 16)
for (j = 1; j < _PB_NJ - 1; ++j)
{
B[i][j] = 0.2 * A[i-1][j-1] + 0.5 * A[i-1][j] + -0.8 * A[i-1][j+1]
+ -0.3 * A[ i ][j-1] + 0.6 * A[ i ][j] + -0.9 * A[ i ][j+1]
+ 0.4 * A[i+1][j-1] + 0.7 * A[i+1][j] + 0.1 * A[i+1][j+1];
}
}
#pragma endscop
// printf("Kernal computation complete !!\n");
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int ni = NI;
int nj = NJ;
/* Variable declaration/allocation. */
POLYBENCH_2D_ARRAY_DECL(A, DATA_TYPE, NI, NJ, ni, nj);
POLYBENCH_2D_ARRAY_DECL(B, DATA_TYPE, NI, NJ, ni, nj);
/* Initialize array(s). */
init_array (ni, nj, POLYBENCH_ARRAY(A));
/* Start timer. */
//polybench_start_instruments;
polybench_timer_start();
/* Run kernel. */
kernel_conv2d (ni, nj, POLYBENCH_ARRAY(A), POLYBENCH_ARRAY(B));
/* Stop and print timer. */
polybench_timer_stop();
polybench_timer_print();
//polybench_stop_instruments;
//polybench_print_instruments;
/* Prevent dead-code elimination. All live-out data must be printed
by the function call in argument. */
polybench_prevent_dce(print_array(ni, nj, POLYBENCH_ARRAY(B)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(A);
POLYBENCH_FREE_ARRAY(B);
return 0;
}
|
modal_analysis_builder_and_solver.h | /*
==============================================================================
Kratos
A General Purpose Software for Multi-Physics Finite Element Analysis
Version 1.0 (Released on march 05, 2007).
Copyright 2007
Pooyan Dadvand, Riccardo Rossi
pooyan@cimne.upc.edu
rrossi@cimne.upc.edu
CIMNE (International Center for Numerical Methods in Engineering),
Gran Capita' s/n, 08034 Barcelona, Spain
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following condition:
Distribution of this code for any commercial purpose is permissible
ONLY BY DIRECT ARRANGEMENT WITH THE COPYRIGHT OWNER.
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
==============================================================================
*/
/* *********************************************************
*
* Last Modified by: $Author: janosch $
* Date: $Date: 2008-04-29 12:23:09 $
* Revision: $Revision: 1.1 $
*
* ***********************************************************/
#if !defined(KRATOS_MODAL_ANALYSIS_BUILDER_AND_SOLVER )
#define KRATOS_MODAL_ANALYSIS_BUILDER_AND_SOLVER
/* System includes */
#include <set>
#include <omp.h>
/* External includes */
#include "boost/smart_ptr.hpp"
/* Project includes */
#include "includes/define.h"
#include "solving_strategies/builder_and_solvers/builder_and_solver.h"
#include "linear_solvers/power_iteration_eigenvalue_solver.h"
namespace Kratos
{
/**@name Kratos Globals */
/*@{ */
/*@} */
/**@name Type Definitions */
/*@{ */
/*@} */
/**@name Enum's */
/*@{ */
/*@} */
/**@name Functions */
/*@{ */
/*@} */
/**@name Kratos Classes */
/*@{ */
/** Short class definition.
Detail class definition.
Current class provides an implementation for standard builder and solving operations.
the RHS is constituted by the unbalanced loads (residual)
Degrees of freedom are reordered putting the restrained degrees of freedom at
the end of the system ordered in reverse order with respect to the DofSet.
Imposition of the dirichlet conditions is naturally dealt with as the residual already contains
this information.
Calculation of the reactions involves a cost very similiar to the calculation of the total residual
\URL[Example of use html]{ extended_documentation/no_ex_of_use.html}
\URL[Example of use pdf]{ extended_documentation/no_ex_of_use.pdf}
\URL[Example of use doc]{ extended_documentation/no_ex_of_use.doc}
\URL[Example of use ps]{ extended_documentation/no_ex_of_use.ps}
\URL[Extended documentation html]{ extended_documentation/no_ext_doc.html}
\URL[Extended documentation pdf]{ extended_documentation/no_ext_doc.pdf}
\URL[Extended documentation doc]{ extended_documentation/no_ext_doc.doc}
\URL[Extended documentation ps]{ extended_documentation/no_ext_doc.ps}
*/
template<class TSparseSpace,
class TDenseSpace , //= DenseSpace<double>,
class TLinearSolver //= LinearSolver<TSparseSpace,TDenseSpace>
>
class ModalAnalysisBuilderAndSolver
: public BuilderAndSolver< TSparseSpace,TDenseSpace,TLinearSolver >
{
public:
/**@name Type Definitions */
/*@{ */
KRATOS_CLASS_POINTER_DEFINITION( ModalAnalysisBuilderAndSolver );
typedef BuilderAndSolver<TSparseSpace,TDenseSpace, TLinearSolver> BaseType;
typedef typename BaseType::TSchemeType TSchemeType;
typedef typename BaseType::TDataType TDataType;
typedef typename BaseType::DofsArrayType DofsArrayType;
typedef typename BaseType::TSystemMatrixType TSystemMatrixType;
typedef typename BaseType::TSystemVectorType TSystemVectorType;
typedef typename BaseType::LocalSystemVectorType LocalSystemVectorType;
typedef typename BaseType::LocalSystemMatrixType LocalSystemMatrixType;
typedef typename BaseType::TSystemMatrixPointerType TSystemMatrixPointerType;
typedef typename BaseType::TSystemVectorPointerType TSystemVectorPointerType;
typedef typename BaseType::NodesArrayType NodesArrayType;
typedef typename BaseType::ElementsArrayType ElementsArrayType;
typedef typename BaseType::ConditionsArrayType ConditionsArrayType;
typedef typename BaseType::ElementsContainerType ElementsContainerType;
/*@} */
/**@name Life Cycle
*/
/*@{ */
/** Constructor.
*/
ModalAnalysisBuilderAndSolver(
typename TLinearSolver::Pointer pNewLinearSystemSolver)
: BuilderAndSolver< TSparseSpace,TDenseSpace,TLinearSolver >(pNewLinearSystemSolver)
{
/* std::cout << "using the standard builder and solver " << std::endl; */
}
/** Destructor.
*/
virtual ~ModalAnalysisBuilderAndSolver() {}
/*@} */
/**@name Operators
*/
/*@{ */
//**************************************************************************
//**************************************************************************
void Build(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& A,
TSystemVectorType& b)
{
KRATOS_TRY
if(!pScheme)
KRATOS_THROW_ERROR(std::runtime_error, "No scheme provided!", "");
//getting the elements from the model
ElementsArrayType& pElements = r_model_part.Elements();
//getting the array of the conditions
ConditionsArrayType& ConditionsArray = r_model_part.Conditions();
//resetting to zero the vector of reactions
TSparseSpace::SetToZero( *(BaseType::mpReactionsVector) );
//create a partition of the element array
int number_of_threads = omp_get_max_threads();
std::vector<unsigned int> element_partition;
CreatePartition(number_of_threads, pElements.size(), element_partition);
double start_prod = omp_get_wtime();
#pragma omp parallel for
for(int k=0; k<number_of_threads; k++)
{
//contributions to the system
LocalSystemMatrixType LHS_Contribution = LocalSystemMatrixType(0,0);
LocalSystemVectorType RHS_Contribution = LocalSystemVectorType(0);
//vector containing the localization in the system of the different
//terms
Element::EquationIdVectorType EquationId;
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
typename ElementsArrayType::ptr_iterator it_begin=pElements.ptr_begin()+element_partition[k];
typename ElementsArrayType::ptr_iterator it_end=pElements.ptr_begin()+element_partition[k+1];
// assemble all elements
for (typename ElementsArrayType::ptr_iterator it=it_begin; it!=it_end; ++it)
{
//calculate elemental contribution
pScheme->CalculateSystemContributions(*it,LHS_Contribution,RHS_Contribution,EquationId,CurrentProcessInfo);
#pragma omp critical
{
//assemble the elemental contribution
AssembleLHS(A,LHS_Contribution,EquationId);
AssembleRHS(b,RHS_Contribution,EquationId);
// clean local elemental memory
pScheme->CleanMemory(*it);
}
}
}
std::vector<unsigned int> condition_partition;
CreatePartition(number_of_threads, ConditionsArray.size(), condition_partition);
#pragma omp parallel for
for(int k=0; k<number_of_threads; k++)
{
//contributions to the system
LocalSystemMatrixType LHS_Contribution = LocalSystemMatrixType(0,0);
LocalSystemVectorType RHS_Contribution = LocalSystemVectorType(0);
Condition::EquationIdVectorType EquationId;
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
typename ConditionsArrayType::ptr_iterator it_begin=ConditionsArray.ptr_begin()+condition_partition[k];
typename ConditionsArrayType::ptr_iterator it_end=ConditionsArray.ptr_begin()+condition_partition[k+1];
// assemble all elements
for (typename ConditionsArrayType::ptr_iterator it=it_begin; it!=it_end; ++it)
{
//calculate elemental contribution
pScheme->Condition_CalculateSystemContributions(*it,LHS_Contribution,RHS_Contribution,EquationId,CurrentProcessInfo);
#pragma omp critical
{
//assemble the elemental contribution
AssembleLHS(A,LHS_Contribution,EquationId);
AssembleRHS(b,RHS_Contribution,EquationId);
}
}
}
double stop_prod = omp_get_wtime();
std::cout << "time: " << stop_prod - start_prod << std::endl;
KRATOS_WATCH("finished parallel building");
/* LHS_Contribution.resize(0,0,false);
RHS_Contribution.resize(0,false);
// assemble all conditions
for (typename ConditionsArrayType::ptr_iterator it=ConditionsArray.ptr_begin(); it!=ConditionsArray.ptr_end(); ++it)
{
//calculate elemental contribution
pScheme->Condition_CalculateSystemContributions(*it,LHS_Contribution,RHS_Contribution,EquationId,CurrentProcessInfo);
//assemble the elemental contribution
AssembleLHS(A,LHS_Contribution,EquationId);
AssembleRHS(b,RHS_Contribution,EquationId);
}
*/
//for( int i=0; i<A.size1(); i++ )
//{
// for( int j=0; j<A.size2(); j++ )
// {
// std::cout << A(i,j);
// }
// std::cout << std::endl;
//}
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void BuildLHS(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& A)
{
KRATOS_TRY
//getting the elements from the model
ElementsArrayType& pElements = r_model_part.Elements();
//getting the array of the conditions
ConditionsArrayType& ConditionsArray = r_model_part.Conditions();
//resetting to zero the vector of reactions
TSparseSpace::SetToZero( *(BaseType::mpReactionsVector) );
//contributions to the system
LocalSystemMatrixType LHS_Contribution = LocalSystemMatrixType(0,0);
//vector containing the localization in the system of the different
//terms
Element::EquationIdVectorType EquationId;
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
// assemble all elements
for (typename ElementsArrayType::ptr_iterator it=pElements.ptr_begin(); it!=pElements.ptr_end(); ++it)
{
//calculate elemental contribution
pScheme->Calculate_LHS_Contribution(*it,LHS_Contribution,EquationId,CurrentProcessInfo);
//assemble the elemental contribution
AssembleLHS(A,LHS_Contribution,EquationId);
// clean local elemental memory
pScheme->CleanMemory(*it);
}
LHS_Contribution.resize(0,0,false);
// assemble all conditions
for (typename ConditionsArrayType::ptr_iterator it=ConditionsArray.ptr_begin(); it!=ConditionsArray.ptr_end(); ++it)
{
//calculate elemental contribution
pScheme->Condition_Calculate_LHS_Contribution(*it,LHS_Contribution,EquationId,CurrentProcessInfo);
//assemble the elemental contribution
AssembleLHS(A,LHS_Contribution,EquationId);
}
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void BuildLHS_CompleteOnFreeRows(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& A)
{
KRATOS_TRY
//getting the elements from the model
ElementsArrayType& pElements = r_model_part.Elements();
//getting the array of the conditions
ConditionsArrayType& ConditionsArray = r_model_part.Conditions();
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
//resetting to zero the vector of reactions
TSparseSpace::SetToZero( *(BaseType::mpReactionsVector) );
//contributions to the system
LocalSystemMatrixType LHS_Contribution = LocalSystemMatrixType(0,0);
//vector containing the localization in the system of the different
//terms
Element::EquationIdVectorType EquationId;
// assemble all elements
for (typename ElementsArrayType::ptr_iterator it=pElements.ptr_begin(); it!=pElements.ptr_end(); ++it)
{
//calculate elemental contribution
pScheme->Calculate_LHS_Contribution(*it,LHS_Contribution,EquationId,CurrentProcessInfo);
//assemble the elemental contribution
AssembleLHS_CompleteOnFreeRows(A,LHS_Contribution,EquationId);
// clean local elemental memory
pScheme->CleanMemory(*it);
}
LHS_Contribution.resize(0,0,false);
// assemble all conditions
for (typename ConditionsArrayType::ptr_iterator it=ConditionsArray.ptr_begin(); it!=ConditionsArray.ptr_end(); ++it)
{
//calculate elemental contribution
pScheme->Condition_Calculate_LHS_Contribution(*it,LHS_Contribution,EquationId,CurrentProcessInfo);
//assemble the elemental contribution
AssembleLHS_CompleteOnFreeRows(A,LHS_Contribution,EquationId);
}
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void SystemSolve(
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b
)
{
KRATOS_TRY
double start_solve = omp_get_wtime();
double norm_b;
if(b.size() != 0)
norm_b = TSparseSpace::TwoNorm(b);
else
norm_b = 0.00;
if(norm_b != 0.00)
BaseType::mpLinearSystemSolver->Solve(A,Dx,b);
else
TSparseSpace::SetToZero(Dx);
//prints informations about the current time
if (BaseType::GetEchoLevel()>1)
{
std::cout << *(BaseType::mpLinearSystemSolver) << std::endl;
}
double stop_solve= omp_get_wtime();
std::cout << "time: " << stop_solve - start_solve << std::endl;
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void BuildAndSolve( typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b )
{
KRATOS_TRY
boost::timer building_time;
//construct mass matrix structure
TSystemMatrixType M = TSystemMatrixType( A.size1(), A.size2() );
//build matrices
BuildSystemMatrices( pScheme, r_model_part, A, M );
//elapsed time
if(BaseType::GetEchoLevel()>0)
{
std::cout << "Building Time : " << building_time.elapsed() << std::endl;
}
if (BaseType::GetEchoLevel()== 3)
{
std::cout << "before the solution of the system" << std::endl;
std::cout << "stiffness Matrix = " << A << std::endl;
std::cout << "mass Matrix = " << M << std::endl;
std::cout << "unknowns vector = " << Dx << std::endl;
std::cout << "RHS vector = " << b << std::endl;
}
boost::timer solve_time;
// SystemSolve(A,Dx,b);
PowerIterationEigenvalueSolver<TSparseSpace, TDenseSpace, TLinearSolver>
eigenvalue_solver( 1.0e-8, 1000, 1, BaseType::mpLinearSystemSolver );
LocalSystemVectorType Eigenvalues(1);
LocalSystemMatrixType Eigenvectors(1,1);
eigenvalue_solver.Solve( A, M, Eigenvalues, Eigenvectors);
if(BaseType::GetEchoLevel()>0)
{
std::cout << "System Solve Time : " << solve_time.elapsed() << std::endl;
}
if (BaseType::GetEchoLevel()== 3)
{
std::cout << "after the solution of the system" << std::endl;
std::cout << "Eigenvalues = " << Eigenvalues << std::endl;
std::cout << "Eigenvectors = " << Eigenvectors << std::endl;
}
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void BuildRHSAndSolve(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b)
{
KRATOS_TRY
BuildRHS(pScheme,r_model_part,b);
SystemSolve(A,Dx,b);
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void BuildRHS(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemVectorType& b)
{
KRATOS_TRY
//Getting the Elements
ElementsArrayType& pElements = r_model_part.Elements();
//getting the array of the conditions
ConditionsArrayType& ConditionsArray = r_model_part.Conditions();
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
//resetting to zero the vector of reactions
TSparseSpace::SetToZero( *(BaseType::mpReactionsVector) );
//contributions to the system
LocalSystemMatrixType LHS_Contribution = LocalSystemMatrixType(0,0);
LocalSystemVectorType RHS_Contribution = LocalSystemVectorType(0);
//vector containing the localization in the system of the different
//terms
Element::EquationIdVectorType EquationId;
// assemble all elements
for (typename ElementsArrayType::ptr_iterator it=pElements.ptr_begin(); it!=pElements.ptr_end(); ++it)
{
//calculate elemental Right Hand Side Contribution
pScheme->Calculate_RHS_Contribution(*it,RHS_Contribution,EquationId,CurrentProcessInfo);
//assemble the elemental contribution
AssembleRHS(b,RHS_Contribution,EquationId);
}
LHS_Contribution.resize(0,0,false);
RHS_Contribution.resize(0,false);
// assemble all conditions
for (typename ConditionsArrayType::ptr_iterator it=ConditionsArray.ptr_begin(); it!=ConditionsArray.ptr_end(); ++it)
{
//calculate elemental contribution
pScheme->Condition_Calculate_RHS_Contribution(*it,RHS_Contribution,EquationId,CurrentProcessInfo);
//assemble the elemental contribution
AssembleRHS(b,RHS_Contribution,EquationId);
}
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void SetUpDofSet( typename TSchemeType::Pointer pScheme, ModelPart& r_model_part )
{
KRATOS_TRY
KRATOS_WATCH("setting up the dofs");
//Gets the array of elements from the modeler
ElementsArrayType& pElements = r_model_part.Elements();
Element::DofsVectorType ElementalDofList;
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
DofsArrayType Doftemp;
BaseType::mDofSet = DofsArrayType();
//mDofSet.clear();
//double StartTime = GetTickCount();
for (typename ElementsArrayType::ptr_iterator it=pElements.ptr_begin();
it!=pElements.ptr_end(); ++it)
{
// gets list of Dof involved on every element
pScheme->GetElementalDofList(*it,ElementalDofList,CurrentProcessInfo);
for(typename Element::DofsVectorType::iterator i = ElementalDofList.begin() ;
i != ElementalDofList.end() ; ++i)
{
Doftemp.push_back(*i);
//mDofSet.push_back(*i);
}
}
//taking in account conditions
ConditionsArrayType& pConditions = r_model_part.Conditions();
for (typename ConditionsArrayType::ptr_iterator it=pConditions.ptr_begin();
it!=pConditions.ptr_end(); ++it)
{
// gets list of Dof involved on every element
pScheme->GetConditionDofList(*it,ElementalDofList,CurrentProcessInfo);
for(typename Element::DofsVectorType::iterator i = ElementalDofList.begin() ;
i != ElementalDofList.end() ; ++i)
{
//mDofSet.push_back(*i);
Doftemp.push_back(*i);
}
}
Doftemp.Unique();
BaseType::mDofSet = Doftemp;
//throws an execption if there are no Degrees of freedom involved in the analysis
if (BaseType::mDofSet.size()==0)
KRATOS_THROW_ERROR(std::logic_error, "No degrees of freedom!", "");
BaseType::mDofSetIsInitialized = true;
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void SetUpSystem(
ModelPart& r_model_part
)
{
// Set equation id for degrees of freedom
// the free degrees of freedom are positioned at the beginning of the system,
// while the fixed one are at the end (in opposite order).
//
// that means that if the EquationId is greater than "mEquationSystemSize"
// the pointed degree of freedom is restrained
//
int free_id = 0;
int fix_id = BaseType::mDofSet.size();
for (typename DofsArrayType::iterator dof_iterator = BaseType::mDofSet.begin(); dof_iterator != BaseType::mDofSet.end(); ++dof_iterator)
if (dof_iterator->IsFixed())
dof_iterator->SetEquationId(--fix_id);
else
dof_iterator->SetEquationId(free_id++);
BaseType::mEquationSystemSize = fix_id;
}
//**************************************************************************
//**************************************************************************
void ResizeAndInitializeVectors( typename TSchemeType::Pointer pScheme,
TSystemMatrixPointerType& pA,
TSystemVectorPointerType& pDx,
TSystemVectorPointerType& pb,
ModelPart& rModelPart
)
{
KRATOS_TRY
if(pA == NULL) //if the pointer is not initialized initialize it to an empty matrix
{
TSystemMatrixPointerType pNewA = TSystemMatrixPointerType(new TSystemMatrixType(0,0) );
pA.swap(pNewA);
}
if(pDx == NULL) //if the pointer is not initialized initialize it to an empty matrix
{
TSystemVectorPointerType pNewDx = TSystemVectorPointerType(new TSystemVectorType(0) );
pDx.swap(pNewDx);
}
if(pb == NULL) //if the pointer is not initialized initialize it to an empty matrix
{
TSystemVectorPointerType pNewb = TSystemVectorPointerType(new TSystemVectorType(0) );
pb.swap(pNewb);
}
if(BaseType::mpReactionsVector == NULL) //if the pointer is not initialized initialize it to an empty matrix
{
TSystemVectorPointerType pNewReactionsVector = TSystemVectorPointerType(new TSystemVectorType(0) );
BaseType::mpReactionsVector.swap(pNewReactionsVector);
}
TSystemMatrixType& A = *pA;
TSystemVectorType& Dx = *pDx;
TSystemVectorType& b = *pb;
//resizing the system vectors and matrix
if (A.size1() == 0 || BaseType::GetReshapeMatrixFlag() == true) //if the matrix is not initialized
{
A.resize(BaseType::mEquationSystemSize,BaseType::mEquationSystemSize,false);
ConstructMatrixStructure(pScheme, A,rModelPart.Elements(),rModelPart.Conditions(),rModelPart.GetProcessInfo());
}
else
{
if(A.size1() != BaseType::mEquationSystemSize || A.size2() != BaseType::mEquationSystemSize)
{
KRATOS_WATCH("it should not come here!!!!!!!! ... this is SLOW");
A.resize(BaseType::mEquationSystemSize,BaseType::mEquationSystemSize,true);
ConstructMatrixStructure(pScheme, A,rModelPart.Elements(),rModelPart.Conditions(),rModelPart.GetProcessInfo());
}
}
if(Dx.size() != BaseType::mEquationSystemSize)
Dx.resize(BaseType::mEquationSystemSize,false);
if(b.size() != BaseType::mEquationSystemSize)
b.resize(BaseType::mEquationSystemSize,false);
//
//if needed resize the vector for the calculation of reactions
if(BaseType::mCalculateReactionsFlag == true)
{
unsigned int ReactionsVectorSize = BaseType::mDofSet.size()-BaseType::mEquationSystemSize;
if(BaseType::mpReactionsVector->size() != ReactionsVectorSize)
BaseType::mpReactionsVector->resize(ReactionsVectorSize,false);
}
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void InitializeSolutionStep(
ModelPart& r_model_part,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b)
{
KRATOS_TRY
KRATOS_CATCH("")
}
//**************************************************************************
//**************************************************************************
void FinalizeSolutionStep(
ModelPart& r_model_part,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b)
{
}
//**************************************************************************
//**************************************************************************
void CalculateReactions(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b)
{
//refresh RHS to have the correct reactions
BuildRHS(pScheme,r_model_part,b);
int i;
int systemsize = BaseType::mDofSet.size() - BaseType::mpReactionsVector->size();
typename DofsArrayType::ptr_iterator it2;
//std::set<Dof::Pointer,ComparePDof>::iterator it2;
//updating variables
TSystemVectorType& ReactionsVector = *(BaseType::mpReactionsVector);
for (it2=BaseType::mDofSet.ptr_begin(); it2 != BaseType::mDofSet.ptr_end(); ++it2)
{
if ( (*it2)->IsFixed() )
{
i=(*it2)->EquationId();
i-=systemsize;
(*it2)->GetSolutionStepReactionValue() = ReactionsVector[i];
}
}
}
//**************************************************************************
//**************************************************************************
void ApplyDirichletConditions(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& A,
TSystemVectorType& Dx,
TSystemVectorType& b)
{}
//**************************************************************************
//**************************************************************************
void ApplyPointLoads(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemVectorType& b)
{}
/**
this function is intended to be called at the end of the solution step to clean up memory
storage not needed
*/
void Clear()
{
this->mDofSet = DofsArrayType();
if(this->mpReactionsVector != NULL)
{
TSparseSpace::Clear( (this->mpReactionsVector) );
}
if (this->GetEchoLevel()>0)
{
KRATOS_WATCH("ModalAnalysisBuilderAndSolver Clear Function called");
}
}
/*@} */
/**@name Operations */
/*@{ */
/*@} */
/**@name Access */
/*@{ */
/*@} */
/**@name Inquiry */
/*@{ */
/*@} */
/**@name Friends */
/*@{ */
/*@} */
protected:
/**@name Protected static Member Variables */
/*@{ */
/*@} */
/**@name Protected member Variables */
/*@{ */
/*@} */
/**@name Protected Operators*/
/*@{ */
//**************************************************************************
virtual void ConstructMatrixStructure( typename TSchemeType::Pointer pScheme,
TSystemMatrixType& A,
ElementsContainerType& rElements,
ConditionsArrayType& rConditions,
ProcessInfo& CurrentProcessInfo)
{
std::size_t equation_size = A.size1();
std::vector<std::vector<std::size_t> > indices(equation_size);
// std::vector<std::vector<std::size_t> > dirichlet_indices(TSystemSpaceType::Size1(mDirichletMatrix));
Element::EquationIdVectorType ids(3,0);
for(typename ElementsContainerType::iterator i_element = rElements.begin() ; i_element != rElements.end() ; i_element++)
{
pScheme->EquationId( *(i_element.base()) , ids, CurrentProcessInfo);
for(std::size_t i = 0 ; i < ids.size() ; i++)
if(ids[i] < equation_size)
{
std::vector<std::size_t>& row_indices = indices[ids[i]];
for(std::size_t j = 0 ; j < ids.size() ; j++)
if(ids[j] < equation_size)
{
AddUnique(row_indices,ids[j]);
//indices[ids[i]].push_back(ids[j]);
}
}
}
for(typename ConditionsArrayType::iterator i_condition = rConditions.begin() ; i_condition != rConditions.end() ; i_condition++)
{
pScheme->Condition_EquationId( *(i_condition.base()), ids, CurrentProcessInfo);
for(std::size_t i = 0 ; i < ids.size() ; i++)
if(ids[i] < equation_size)
{
std::vector<std::size_t>& row_indices = indices[ids[i]];
for(std::size_t j = 0 ; j < ids.size() ; j++)
if(ids[j] < equation_size)
{
AddUnique(row_indices,ids[j]);
// indices[ids[i]].push_back(ids[j]);
}
}
}
//allocating the memory needed
int data_size = 0;
for(std::size_t i = 0 ; i < indices.size() ; i++)
{
data_size += indices[i].size();
}
A.reserve(data_size,false);
//filling with zero the matrix (creating the structure)
for(std::size_t i = 0 ; i < indices.size() ; i++)
{
std::vector<std::size_t>& row_indices = indices[i];
std::sort(row_indices.begin(), row_indices.end());
for(std::vector<std::size_t>::iterator it= row_indices.begin(); it != row_indices.end() ; it++)
{
A.push_back(i,*it,0.00);
// A()(i,*it) = 0.00;
}
//row_indices = std::vector<std::size_t>();
row_indices.clear();
}
}
//**************************************************************************
void AssembleLHS(
TSystemMatrixType& A,
LocalSystemMatrixType& LHS_Contribution,
Element::EquationIdVectorType& EquationId
)
{
unsigned int local_size = LHS_Contribution.size1();
for (unsigned int i_local=0; i_local<local_size; i_local++)
{
unsigned int i_global=EquationId[i_local];
if ( i_global < BaseType::mEquationSystemSize )
{
for (unsigned int j_local=0; j_local<local_size; j_local++)
{
unsigned int j_global=EquationId[j_local];
if ( j_global < BaseType::mEquationSystemSize )
{
A(i_global,j_global) += LHS_Contribution(i_local,j_local);
}
}
}
}
}
//**************************************************************************
void AssembleRHS(
TSystemVectorType& b,
LocalSystemVectorType& RHS_Contribution,
Element::EquationIdVectorType& EquationId
)
{
unsigned int local_size = RHS_Contribution.size();
if (BaseType::mCalculateReactionsFlag==false) //if we don't need to calculate reactions
{
for (unsigned int i_local=0; i_local<local_size; i_local++)
{
unsigned int i_global=EquationId[i_local];
if ( i_global < BaseType::mEquationSystemSize ) //on "free" DOFs
{
// ASSEMBLING THE SYSTEM VECTOR
b[i_global] += RHS_Contribution[i_local];
}
}
}
else //when the calculation of reactions is needed
{
TSystemVectorType& ReactionsVector = *BaseType::mpReactionsVector;
for (unsigned int i_local=0; i_local<local_size; i_local++)
{
unsigned int i_global=EquationId[i_local];
if ( i_global < BaseType::mEquationSystemSize ) //on "free" DOFs
{
// ASSEMBLING THE SYSTEM VECTOR
b[i_global] += RHS_Contribution[i_local];
}
else //on "fixed" DOFs
{
// Assembling the Vector of REACTIONS
ReactionsVector[i_global-BaseType::mEquationSystemSize] -= RHS_Contribution[i_local];
}
}
}
}
/*@} */
/**@name Protected Operations*/
/*@{ */
/*@} */
/**@name Protected Access */
/*@{ */
/*@} */
/**@name Protected Inquiry */
/*@{ */
/*@} */
/**@name Protected LifeCycle */
/*@{ */
/*@} */
private:
/**@name Static Member Variables */
/*@{ */
/*@} */
/**@name Member Variables */
/*@{ */
/*@} */
/**@name Private Operators*/
/*@{ */
/*@} */
/**@name Private Operations*/
/*@{ */
//**************************************************************************
//**************************************************************************
void BuildSystemMatrices(
typename TSchemeType::Pointer pScheme,
ModelPart& r_model_part,
TSystemMatrixType& K,
TSystemMatrixType& M )
{
KRATOS_TRY
if(!pScheme)
KRATOS_THROW_ERROR(std::runtime_error, "No scheme provided!", "");
//getting the elements from the model
ElementsArrayType& pElements = r_model_part.Elements();
//getting the array of the conditions
ConditionsArrayType& ConditionsArray = r_model_part.Conditions();
//resetting to zero the vector of reactions
TSparseSpace::SetToZero( *(BaseType::mpReactionsVector) );
//create a partition of the element array
int number_of_threads = omp_get_max_threads();
std::vector<unsigned int> element_partition;
CreatePartition(number_of_threads, pElements.size(), element_partition);
double start_prod = omp_get_wtime();
#pragma omp parallel for
for(int k=0; k<number_of_threads; k++)
{
//contributions to the system
LocalSystemMatrixType K_Contribution = LocalSystemMatrixType(0,0);
LocalSystemMatrixType M_Contribution = LocalSystemMatrixType(0,0);
LocalSystemVectorType RHS_Contribution = LocalSystemVectorType(0);
//vector containing the localization in the system of the different
//terms
Element::EquationIdVectorType EquationId;
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
typename ElementsArrayType::ptr_iterator
it_begin=pElements.ptr_begin()+element_partition[k];
typename ElementsArrayType::ptr_iterator
it_end=pElements.ptr_begin()+element_partition[k+1];
// assemble all elements
for (typename ElementsArrayType::ptr_iterator it=it_begin; it!=it_end; ++it)
{
//calculate elemental contribution
pScheme->CalculateSystemContributions(*it, K_Contribution, RHS_Contribution, EquationId, CurrentProcessInfo);
(*it)->CalculateMassMatrix( M_Contribution, CurrentProcessInfo );
//(*it)->CalculateLocalSystem( K_Contribution,RHS_Contribution,CurrentProcessInfo );
#pragma omp critical
{
//assemble the elemental contribution
AssembleLHS(K,K_Contribution,EquationId);
AssembleLHS(M,M_Contribution,EquationId);
// clean local elemental memory
pScheme->CleanMemory(*it);
}
}
}
std::vector<unsigned int> condition_partition;
CreatePartition(number_of_threads, ConditionsArray.size(), condition_partition);
#pragma omp parallel for
for(int k=0; k<number_of_threads; k++)
{
//contributions to the system
LocalSystemMatrixType K_Contribution = LocalSystemMatrixType(0,0);
LocalSystemMatrixType M_Contribution = LocalSystemMatrixType(0,0);
LocalSystemVectorType RHS_Contribution = LocalSystemVectorType(0);
Condition::EquationIdVectorType EquationId;
ProcessInfo& CurrentProcessInfo = r_model_part.GetProcessInfo();
typename ConditionsArrayType::ptr_iterator
it_begin=ConditionsArray.ptr_begin()+condition_partition[k];
typename ConditionsArrayType::ptr_iterator
it_end=ConditionsArray.ptr_begin()+condition_partition[k+1];
// assemble all conditions
for (typename ConditionsArrayType::ptr_iterator it=it_begin; it!=it_end; ++it)
{
//calculate elemental contribution
pScheme->Condition_CalculateSystemContributions(*it, K_Contribution, RHS_Contribution, EquationId, CurrentProcessInfo);
(*it)->CalculateMassMatrix( M_Contribution, CurrentProcessInfo );
//(*it)->CalculateLocalSystem( K_Contribution,RHS_Contribution,CurrentProcessInfo );
#pragma omp critical
{
//assemble the elemental contribution
AssembleLHS(K,K_Contribution,EquationId);
AssembleLHS(M,M_Contribution,EquationId);
}
}
}
double stop_prod = omp_get_wtime();
std::cout << "time: " << stop_prod - start_prod << std::endl;
KRATOS_WATCH("finished parallel building");
KRATOS_CATCH("")
}
//**************************************************************************
void AssembleLHS_CompleteOnFreeRows(
TSystemMatrixType& A,
LocalSystemMatrixType& LHS_Contribution,
Element::EquationIdVectorType& EquationId
)
{
unsigned int local_size = LHS_Contribution.size1();
for (unsigned int i_local=0; i_local<local_size; i_local++)
{
unsigned int i_global=EquationId[i_local];
if ( i_global < BaseType::mEquationSystemSize )
{
for (unsigned int j_local=0; j_local<local_size; j_local++)
{
int j_global=EquationId[j_local];
A(i_global,j_global) += LHS_Contribution(i_local,j_local);
}
}
}
}
//******************************************************************************************
//******************************************************************************************
inline void AddUnique(std::vector<std::size_t>& v, const std::size_t& candidate)
{
std::vector<std::size_t>::iterator i = v.begin();
std::vector<std::size_t>::iterator endit = v.end();
while ( i != endit && (*i) != candidate)
{
i++;
}
if( i == endit )
{
v.push_back(candidate);
}
}
//******************************************************************************************
//******************************************************************************************
inline void CreatePartition(unsigned int number_of_threads,const int number_of_rows, std::vector<unsigned int>& partitions)
{
partitions.resize(number_of_threads+1);
int partition_size = number_of_rows / number_of_threads;
partitions[0] = 0;
partitions[number_of_threads] = number_of_rows;
for(int i = 1; i<number_of_threads; i++)
partitions[i] = partitions[i-1] + partition_size ;
}
/*@} */
/**@name Private Access */
/*@{ */
/*@} */
/**@name Private Inquiry */
/*@{ */
/*@} */
/**@name Un accessible methods */
/*@{ */
/*@} */
}; /* Class ModalAnalysisBuilderAndSolver */
/*@} */
/**@name Type Definitions */
/*@{ */
/*@} */
} /* namespace Kratos.*/
#endif /* KRATOS_MODAL_ANALYSIS_BUILDER_AND_SOLVER defined */
|
hermm_c_dia_u_lo_col.c | #include "alphasparse/kernel.h"
#include "alphasparse/util.h"
#include "alphasparse/opt.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#include <memory.h>
#include <stdlib.h>
alphasparse_status_t ONAME(const ALPHA_Complex alpha, const ALPHA_SPMAT_DIA *mat, const ALPHA_Complex *x, const ALPHA_INT columns, const ALPHA_INT ldx, const ALPHA_Complex beta, ALPHA_Complex *y, const ALPHA_INT ldy)
{
ALPHA_INT num_threads = alpha_get_thread_num();
#ifdef _OPENMP
#pragma omp parallel for num_threads(num_threads)
#endif
for(ALPHA_INT c = 0; c < columns; c++)
for (ALPHA_INT r = 0; r < mat->rows; r++){
alpha_mul(y[index2(c,r,ldy)],y[index2(c,r,ldy)],beta);
alpha_madde(y[index2(c,r,ldy)],x[index2(c,r,ldx)],alpha);
}
#ifdef _OPENMP
#pragma omp parallel for num_threads(num_threads)
#endif
for (ALPHA_INT cc = 0; cc < columns; ++cc)
{
ALPHA_Complex* Y = &y[index2(cc,0,ldy)];
const ALPHA_Complex* X = &x[index2(cc,0,ldx)];
for(ALPHA_INT di = 0; di < mat->ndiag;++di){
ALPHA_INT d = mat->distance[di];
if(d < 0){
ALPHA_INT ars = alpha_max(0,-d);
ALPHA_INT acs = alpha_max(0,d);
ALPHA_INT an = alpha_min(mat->rows - ars,mat->cols - acs);
for(ALPHA_INT i = 0; i < an; ++i){
ALPHA_INT ar = ars + i;
ALPHA_INT ac = acs + i;
ALPHA_Complex val,val_c;
alpha_mul(val,mat->values[index2(di,ar,mat->lval)],alpha);
alpha_mul_2c(val_c,mat->values[index2(di,ar,mat->lval)],alpha);
alpha_madde(Y[ar],val,X[ac]);
alpha_madde(Y[ac],val_c,X[ar]);
}
}
}
}
return ALPHA_SPARSE_STATUS_SUCCESS;
}
|
csr.c | //#include <string.h>
//#include <stdio.h>
//#include <stdlib.h>
//#include <stdint.h>
//#include <omp.h>
//#include "allocator.h"
#include "geometry.h"
#include "mesh2geo.h"
#if 0
static void scan(const size_t nrows, unsigned int *array)
{
unsigned int sum = 0;
for(unsigned int i = 0; i <= nrows; i++)
{
const unsigned int t = array[i];
array[i] = sum;
sum += t;
}
}
/* c stdlib qsort comparable function */
static inline int
comp(const void *a, const void *b)
{
return (int) (*((uint32_t *) a) - *((uint32_t *) b));
}
#endif
void
m2csr(struct geometry *g)
{
#if 0
/* Row pointers */
uint32_t *ia = (uint32_t *) fun3d_calloc((g->n->sz + 1), sizeof(uint32_t));
uint32_t i;
for(i = 0; i < g->e->sz; i++)
{
ia[g->e->eptr->n0[i]]++;
ia[g->e->eptr->n1[i]]++;
}
for(i = 0; i <= g->n->sz; i++) ia[i]++;
scan(g->n->sz, ia);
// Add one to avoid 'segmentation fault generated by METIS
// Need to be tested
uint32_t *ja = (uint32_t *) fun3d_calloc((ia[g->n->sz] + 1), sizeof(uint32_t));
double *aa = (double *) fun3d_calloc(ia[g->n->sz] * 4 * 4, sizeof(double));
/* A temp buffer used to keep tracking of each row elements */
uint32_t *buf = (uint32_t *) fun3d_malloc(g->n->sz, sizeof(uint32_t));
/* Column Index of the diagonal elements */
for(i = 0; i < g->n->sz; i++)
{
ja[ia[i]] = i; // A diagonal element
buf[i] = 1; // One element in this row has been added
}
/* Fill the rest of the array, ordered by RCM and using a
* modified version of Breadth-First Search traversing algorithm */
for(i = 0; i < g->e->sz; i++)
{
uint32_t n0 = g->e->eptr->n0[i];
uint32_t n1 = g->e->eptr->n1[i];
/* Get the element index in the row
* The index is basically the row index plus the last element that
* has been added in the row. */
uint32_t indx = ia[n0] + buf[n0]; // Get the index
buf[n0]++; // Column has been added (one more element in the row)
ja[indx] = n1; // Store the node index in its corresponding index
/* Do it for the other endpoint */
indx = ia[n1] + buf[n1];
buf[n1]++;
ja[indx] = n0;
}
fun3d_free(buf);
uint32_t *diag = (uint32_t *) fun3d_calloc(g->n->sz, sizeof(uint32_t));
unsigned int *w = (unsigned int *) fun3d_calloc(g->n->sz, sizeof(unsigned int));
/* Sort the each row of a ja array in an increasing order
* No we reorder them again to make sure the at each row
* we have the node ordered in increasing order plus based on
* their degree */
#pragma omp parallel for
for(i = 0; i < g->n->sz; i++)
{
const uint32_t jstart = ia[i];
const uint32_t jend = ia[i+1];
const size_t nnz_per_row = ia[i+1] - ia[i];
qsort(ja + jstart, nnz_per_row, sizeof(uint32_t), comp);
uint32_t j;
for(j = jstart; j < jend; j++)
{
if(ja[j] == i)
{
diag[i] = j; // Store a diagonal element
break;
}
}
}
struct mat *csr = (struct mat *) fun3d_malloc(1, sizeof(struct mat));
csr->a = aa;
csr->i = ia;
csr->j = ja;
csr->d = diag;
csr->w = w;
g->c->mat = csr;
#endif
/* Incompressible Euler flow */
g->c->b = 4;
g->c->b2 = 4 * 4;
/* Solution vector length: matrix rows x DoFs */
g->c->sz = g->c->b * g->n->sz;
} |
GB_binop__div_fc64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_08__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_02__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_04__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__div_fc64)
// A*D function (colscale): GB (_AxD__div_fc64)
// D*A function (rowscale): GB (_DxB__div_fc64)
// C+=B function (dense accum): GB (_Cdense_accumB__div_fc64)
// C+=b function (dense accum): GB (_Cdense_accumb__div_fc64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__div_fc64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__div_fc64)
// C=scalar+B GB (_bind1st__div_fc64)
// C=scalar+B' GB (_bind1st_tran__div_fc64)
// C=A+scalar GB (_bind2nd__div_fc64)
// C=A'+scalar GB (_bind2nd_tran__div_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// B,b type: GxB_FC64_t
// BinaryOp: cij = GB_FC64_div (aij, bij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_BTYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
GxB_FC64_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
GxB_FC64_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_FC64_div (x, y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_DIV || GxB_NO_FC64 || GxB_NO_DIV_FC64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__div_fc64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC64_t
GxB_FC64_t bwork = (*((GxB_FC64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__div_fc64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__div_fc64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__div_fc64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__div_fc64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t x = (*((GxB_FC64_t *) x_input)) ;
GxB_FC64_t *Bx = (GxB_FC64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
GxB_FC64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_FC64_div (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__div_fc64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t *Ax = (GxB_FC64_t *) Ax_input ;
GxB_FC64_t y = (*((GxB_FC64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
GxB_FC64_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_FC64_div (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_div (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__div_fc64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t x = (*((const GxB_FC64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_div (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t y = (*((const GxB_FC64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
sc_demo.c | /* main.c
* Created by Mengyao Zhao on 06/23/11.
* Version 0.1.5
* Last revision by Mengyao Zhao on 06/27/14.
*/
#include <stdlib.h>
#include <stdint.h>
#include <emmintrin.h>
#include <zlib.h>
#include <stdio.h>
#include <time.h>
#include <sys/time.h>
#include <string.h>
#include <math.h>
#include <unistd.h>
#include "ssw.h"
#include "kseq.h"
#include <omp.h>
#ifdef __GNUC__
#define LIKELY(x) __builtin_expect((x),1)
#define UNLIKELY(x) __builtin_expect((x),0)
#else
#define LIKELY(x) (x)
#define UNLIKELY(x) (x)
#endif
/*! @function
@abstract Round an integer to the next closest power-2 integer.
@param x integer to be rounded (in place)
@discussion x will be modified.
*/
#define kroundup32(x) (--(x), (x)|=(x)>>1, (x)|=(x)>>2, (x)|=(x)>>4, (x)|=(x)>>8, (x)|=(x)>>16, ++(x))
KSEQ_INIT(gzFile, gzread);
// l is length
// m is allocated memory
void genSeq(kseq_t *read, kseq_t *ref) {
const int reflen = 256;
const int readlen = 128;
int baseidx;
read->name.s = strdup("READ");
read->seq.s = (char*) malloc(readlen*sizeof(char)+1);
read->seq.m = readlen;
ref->name.s = strdup("REF");
ref->seq.s = (char*) malloc(reflen*sizeof(char)+1);
ref->seq.m = reflen;
char bases[5] = "ACTG";
for(baseidx = 0; baseidx < reflen; ++baseidx) {
char b = bases[rand()%4];
ref->seq.s[baseidx] = b;
}
ref->seq.l = reflen;
for(baseidx = 0; baseidx < readlen; ++baseidx) {
char b = bases[rand()%4];
read->seq.s[baseidx] = b;
}
read->seq.l = readlen;
ref->seq.s[reflen] = '\0';
read->seq.s[readlen] = '\0';
/*printf("READ: %s\nREF: %s\n",read->seq.s,ref->seq.s);*/
}
void freeSeq(kseq_t *seq) {
free(seq->name.s);
free(seq->seq.s);
}
static void ssw_write (const s_align* a,
const kseq_t* ref_seq,
const kseq_t* read,
const char* read_seq, // strand == 0: original read; strand == 1: reverse complement read
const int8_t* table,
int8_t strand) { // 0: forward aligned ; 1: reverse complement aligned
//fprintf(stdout, "target_name: %s\nquery_name: %s\noptimal_alignment_score: %d\t", ref_seq->name.s, read->name.s, a->score1);
//if (a->score2 > 0) fprintf(stdout, "suboptimal_alignment_score: %d\t", a->score2);
//if (strand == 0) fprintf(stdout, "strand: +\t");
//else fprintf(stdout, "strand: -\t");
//if (a->ref_begin1 + 1) fprintf(stdout, "target_begin: %d\t", a->ref_begin1 + 1);
//fprintf(stdout, "target_end: %d\t", a->ref_end1 + 1);
//if (a->read_begin1 + 1) fprintf(stdout, "query_begin: %d\t", a->read_begin1 + 1);
//fprintf(stdout, "query_end: %d\n\n", a->read_end1 + 1);
if (a->cigar) {
int32_t c = 0, left = 0, e = 0, qb = a->ref_begin1, pb = a->read_begin1;
uint32_t i;
while (e < a->cigarLen || left > 0) {
int32_t count = 0;
int32_t q = qb;
int32_t p = pb;
fprintf(stdout, "Target: %8d ", q + 1);
for (c = e; c < a->cigarLen; ++c) {
char letter = cigar_int_to_op(a->cigar[c]);
uint32_t length = cigar_int_to_len(a->cigar[c]);
uint32_t l = (count == 0 && left > 0) ? left: length;
for (i = 0; i < l; ++i) {
if (letter == 'I') fprintf(stdout, "-");
else {
fprintf(stdout, "%c", *(ref_seq->seq.s + q));
++ q;
}
++ count;
if (count == 60) goto step2;
}
}
step2:
fprintf(stdout, " %d\n ", q);
q = qb;
count = 0;
for (c = e; c < a->cigarLen; ++c) {
char letter = cigar_int_to_op(a->cigar[c]);
uint32_t length = cigar_int_to_len(a->cigar[c]);
uint32_t l = (count == 0 && left > 0) ? left: length;
for (i = 0; i < l; ++i){
if (letter == 'M') {
if (table[(int)*(ref_seq->seq.s + q)] == table[(int)*(read_seq + p)])fprintf(stdout, "|");
else fprintf(stdout, "*");
++q;
++p;
} else {
fprintf(stdout, " ");
if (letter == 'I') ++p;
else ++q;
}
++ count;
if (count == 60) {
qb = q;
goto step3;
}
}
}
step3:
p = pb;
fprintf(stdout, "\nQuery: %8d ", p + 1);
count = 0;
for (c = e; c < a->cigarLen; ++c) {
char letter = cigar_int_to_op(a->cigar[c]);
uint32_t length = cigar_int_to_len(a->cigar[c]);
uint32_t l = (count == 0 && left > 0) ? left: length;
for (i = 0; i < l; ++i) {
if (letter == 'D') fprintf(stdout, "-");
else {
fprintf(stdout, "%c", *(read_seq + p));
++p;
}
++ count;
if (count == 60) {
pb = p;
left = l - i - 1;
e = (left == 0) ? (c + 1) : c;
goto end;
}
}
}
e = c;
left = 0;
end:
fprintf(stdout, " %d\n\n", p);
}
}
}
void genSSWData(int niter, int numsample, kseq_t **read, kseq_t **ref){
//seed randrom to get more chaotic output
srand (time(NULL));
kseq_t *testread = (kseq_t *)malloc(sizeof(kseq_t)*niter*numsample);
kseq_t *testref = (kseq_t *)malloc(sizeof(kseq_t)*niter*numsample);
int ii;
for(ii =0; ii < niter*numsample; ++ii){
genSeq(&testread[ii], &testref[ii]);
}
*read = testread;
*ref = testref;
}
void deleteSSWData(int niter, int numsample, kseq_t **read, kseq_t **ref){
kseq_t *testread = *read;
kseq_t *testref = *ref;
int ii;
for(ii =0; ii < niter*numsample; ++ii){
freeSeq(&testread[ii]);
freeSeq(&testref[ii]);
}
free(*read);
free(*ref);
}
float SSW(int numsample, int tid, kseq_t *read, kseq_t *ref, unsigned int *maxr, unsigned int *maxc, unsigned int *maxv){
kseq_t *read_seq, *ref_seq;
int32_t l, m, k, match = 2, mismatch = 2, gap_open = 3, gap_extension = 1, path = 0, n = 5, s1 = 67108864, s2 = 128, filter = 0;
int8_t* mata = (int8_t*)calloc(25, sizeof(int8_t));
const int8_t* mat = mata;
int8_t* ref_num = (int8_t*)malloc(s1);
int8_t* num = (int8_t*)malloc(s2), *num_rc = 0;
char* read_rc = 0;
int total = numsample;
float total_cups = 0;
/* This table is used to transform nucleotide letters into numbers. */
int8_t nt_table[128] = {
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
};
int8_t* table = nt_table;
fprintf(stdout, "Processing %d samples using Intel Vector Instruction Set in Thread %d\n", numsample, tid);
// initialize scoring matrix for genome sequences
for (l = k = 0; LIKELY(l < 4); ++l) {
for (m = 0; LIKELY(m < 4); ++m) mata[k++] = l == m ? match : -mismatch; /* weight_match : -weight_mismatch */
mata[k++] = 0; // ambiguous base
}
for (m = 0; LIKELY(m < 5); ++m) mata[k++] = 0;
// alignment
int ii;
for(ii =0; ii < total; ++ii){
// clear screen newline
//printf("\033[2J\033[1;1H");
read_seq = &read[ii];
ref_seq = &ref[ii];
{
s_profile* p = 0;
int32_t readLen = read_seq->seq.l;
int32_t maskLen = readLen / 2;
while (readLen >= s2) {
++s2;
kroundup32(s2);
num = (int8_t*)realloc(num, s2);
}
for (m = 0; m < readLen; ++m) num[m] = table[(int)read_seq->seq.s[m]];
p = ssw_init(num, readLen, mat, n, 2);
{
s_align* result, *result_rc = 0;
int32_t refLen = ref_seq->seq.l;
int8_t flag = 0;
while (refLen > s1) {
++s1;
kroundup32(s1);
ref_num = (int8_t*)realloc(ref_num, s1);
}
for (m = 0; m < refLen; ++m) ref_num[m] = table[(int)ref_seq->seq.s[m]];
if (path == 1) flag = 2;
result = ssw_align (p, ref_num, refLen, gap_open, gap_extension, flag, filter, 0, maskLen, &total_cups, &maxr[ii], &maxc[ii], &maxv[ii]);
if (result_rc && result_rc->score1 > result->score1 && result_rc->score1 >= filter) {
ssw_write (result_rc, ref_seq, read_seq, read_rc, table, 1);
}else if (result && result->score1 >= filter){
ssw_write(result, ref_seq, read_seq, read_seq->seq.s, table, 0);
} else if (! result) return 1;
if (result_rc) align_destroy(result_rc);
align_destroy(result);
}
init_destroy(p);
}
}
if (num_rc) {
free(num_rc);
free(read_rc);
}
//kseq_destroy(read_seq);
free(num);
free(ref_num);
free(mata);
return total_cups/(numsample);
}
long xgetusec() {
struct timeval tval_result;
gettimeofday(&tval_result, NULL);
long retval = tval_result.tv_sec*1e6+tval_result.tv_usec;
return retval;
}
int SSW_par(int nblocks, int nSamples, int nThreads, char **rd, char **rf, unsigned int *maxr, unsigned int *maxc, unsigned int *maxv){
int i;
omp_set_num_threads(nThreads);
kseq_t *read, *ref;
clock_t start, end;
start = clock();
printf("Generating samples\n");
genSSWData(nblocks, nSamples, &read, &ref);
printf("Done generating %d samples\n", nblocks*nSamples);
end = clock();
float cpu_time_read = ((float) (end - start)) / CLOCKS_PER_SEC;
printf("Time to generate Samples Secs: %f\n", (float)cpu_time_read);
printf("Distributing samples on %d threads\n", nThreads);
double ostart = omp_get_wtime();
int ID;
int nIter = nThreads;
int samples = nblocks*nSamples/nIter;
#pragma omp parallel for
for(i = 0; i < nIter; ++i)
{
ID = omp_get_thread_num();
SSW(samples, ID, (read + i*samples), (ref + i*samples), (maxr + i*samples), (maxc + i*samples), (maxv + i*samples));
}
double oend = omp_get_wtime();
float Gsamples = 256*128;
Gsamples = Gsamples*nSamples*nblocks;
Gsamples = Gsamples/(1024*1024*1024);
float Gcups = Gsamples/(float)(oend-ostart);
printf("Total Cell Updates(G)=%f\n", Gsamples);
printf("Total Threads=%d\n", nThreads);
printf("Time to complete computation Secs: %f\n", (float)(oend - ostart));
printf("Cell updates per second(GCups)=%f\n", Gcups);
for(i = 0; i < nblocks*nSamples; ++i){
strcpy(rd[i], read[i].seq.s);
strcpy(rf[i], ref[i].seq.s);
}
deleteSSWData(nblocks, nSamples, &read, &ref);
return 0;
}
/*
int main (int argc, char * const argv[]) {
clock_t start, end;
float cpu_time;
kseq_t *read_seq, *ref_seq;
int32_t l, m, k, match = 2, mismatch = 2, gap_open = 3, gap_extension = 1, path = 0, n = 5, s1 = 67108864, s2 = 128, filter=0;
int8_t* mata = (int8_t*)calloc(25, sizeof(int8_t));
int8_t nt_table[128] = {
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
};
// Parse command line.
while ((l = getopt(argc, argv, "m:x:o:e:a:f:pcrsh")) >= 0) {
switch (l) {
case 'm': match = atoi(optarg); break;
case 'x': mismatch = atoi(optarg); break;
case 'o': gap_open = atoi(optarg); break;
case 'e': gap_extension = atoi(optarg); break;
case 'f': filter = atoi(optarg); break;
case 'c': path = 1; break;
}
}
if (0 && optind + 2 > argc) {
fprintf(stderr, "\n");
fprintf(stderr, "Usage: ssw_test [options] ... <target.fasta> <query.fasta>(or <query.fastq>)\n");
fprintf(stderr, "Options:\n");
fprintf(stderr, "\t-m N\tN is a positive integer for weight match in genome sequence alignment. [default: 2]\n");
fprintf(stderr, "\t-x N\tN is a positive integer. -N will be used as weight mismatch in genome sequence alignment. [default: 2]\n");
fprintf(stderr, "\t-o N\tN is a positive integer. -N will be used as the weight for the gap opening. [default: 3]\n");
fprintf(stderr, "\t-e N\tN is a positive integer. -N will be used as the weight for the gap extension. [default: 1]\n");
fprintf(stderr, "\t-c\tReturn the alignment path.\n");
fprintf(stderr, "\t-f N\tN is a positive integer. Only output the alignments with the Smith-Waterman score >= N.\n");
return 1;
}
SSW();
}
*/
|
GraphReconstructor.h | //
// Copyright (C) 2015-2020 Yahoo Japan Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
#pragma once
#include <unordered_map>
#include <unordered_set>
#include <list>
#ifdef _OPENMP
#include <omp.h>
#else
#warning "*** OMP is *NOT* available! ***"
#endif
namespace NGT {
class GraphReconstructor {
public:
static void extractGraph(std::vector<NGT::ObjectDistances> &graph, NGT::Index &index) {
NGT::GraphIndex &graphIndex = static_cast<NGT::GraphIndex&>(index.getIndex());
graph.reserve(graphIndex.repository.size());
for (size_t id = 1; id < graphIndex.repository.size(); id++) {
if (id % 1000000 == 0) {
std::cerr << "GraphReconstructor::extractGraph: Processed " << id << " objects." << std::endl;
}
try {
NGT::GraphNode &node = *graphIndex.getNode(id);
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
NGT::ObjectDistances nd;
nd.reserve(node.size());
for (auto n = node.begin(graphIndex.repository.allocator); n != node.end(graphIndex.repository.allocator); ++n) {
nd.push_back(ObjectDistance((*n).id, (*n).distance));
}
graph.push_back(nd);
#else
graph.push_back(node);
#endif
if (graph.back().size() != graph.back().capacity()) {
std::cerr << "GraphReconstructor::extractGraph: Warning! The graph size must be the same as the capacity. " << id << std::endl;
}
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor::extractGraph: Warning! Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
continue;
}
}
}
static void
adjustPaths(NGT::Index &outIndex)
{
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
std::cerr << "construct index is not implemented." << std::endl;
exit(1);
#else
NGT::GraphIndex &outGraph = dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex());
size_t rStartRank = 0;
std::list<std::pair<size_t, NGT::GraphNode> > tmpGraph;
for (size_t id = 1; id < outGraph.repository.size(); id++) {
NGT::GraphNode &node = *outGraph.getNode(id);
tmpGraph.push_back(std::pair<size_t, NGT::GraphNode>(id, node));
if (node.size() > rStartRank) {
node.resize(rStartRank);
}
}
size_t removeCount = 0;
for (size_t rank = rStartRank; ; rank++) {
bool edge = false;
Timer timer;
for (auto it = tmpGraph.begin(); it != tmpGraph.end();) {
size_t id = (*it).first;
try {
NGT::GraphNode &node = (*it).second;
if (rank >= node.size()) {
it = tmpGraph.erase(it);
continue;
}
edge = true;
if (rank >= 1 && node[rank - 1].distance > node[rank].distance) {
std::cerr << "distance order is wrong!" << std::endl;
std::cerr << id << ":" << rank << ":" << node[rank - 1].id << ":" << node[rank].id << std::endl;
}
NGT::GraphNode &tn = *outGraph.getNode(id);
//////////////////
volatile bool found = false;
if (rank < 1000) {
for (size_t tni = 0; tni < tn.size() && !found; tni++) {
if (tn[tni].id == node[rank].id) {
continue;
}
NGT::GraphNode &dstNode = *outGraph.getNode(tn[tni].id);
for (size_t dni = 0; dni < dstNode.size(); dni++) {
if ((dstNode[dni].id == node[rank].id) && (dstNode[dni].distance < node[rank].distance)) {
found = true;
break;
}
}
}
} else {
#ifdef _OPENMP
#pragma omp parallel for num_threads(10)
#endif
for (size_t tni = 0; tni < tn.size(); tni++) {
if (found) {
continue;
}
if (tn[tni].id == node[rank].id) {
continue;
}
NGT::GraphNode &dstNode = *outGraph.getNode(tn[tni].id);
for (size_t dni = 0; dni < dstNode.size(); dni++) {
if ((dstNode[dni].id == node[rank].id) && (dstNode[dni].distance < node[rank].distance)) {
found = true;
}
}
}
}
if (!found) {
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
outGraph.addEdge(id, node.at(i, outGraph.repository.allocator).id,
node.at(i, outGraph.repository.allocator).distance, true);
#else
tn.push_back(NGT::ObjectDistance(node[rank].id, node[rank].distance));
#endif
} else {
removeCount++;
}
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
it++;
continue;
}
it++;
}
if (edge == false) {
break;
}
}
#endif // NGT_SHARED_MEMORY_ALLOCATOR
}
static void
adjustPathsEffectively(NGT::Index &outIndex)
{
NGT::GraphIndex &outGraph = dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex());
adjustPathsEffectively(outGraph);
}
static void
adjustPathsEffectively(NGT::GraphIndex &outGraph)
{
Timer timer;
timer.start();
size_t rStartRank = 0;
std::vector<std::pair<size_t, NGT::GraphNode> > tmpGraph;
for (size_t id = 1; id < outGraph.repository.size(); id++) {
NGT::GraphNode &node = *outGraph.getNode(id);
tmpGraph.push_back(std::pair<size_t, NGT::GraphNode>(id, node));
if (node.size() > rStartRank) {
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
node.resize(rStartRank, outGraph.repository.allocator);
#else
node.resize(rStartRank);
#endif
}
}
timer.stop();
std::cerr << "GraphReconstructor::adjustPaths: graph preparing time=" << timer << std::endl;
timer.reset();
timer.start();
std::vector<std::vector<std::pair<uint32_t, uint32_t> > > removeCandidates(tmpGraph.size());
int removeCandidateCount = 0;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (size_t idx = 0; idx < tmpGraph.size(); ++idx) {
auto it = tmpGraph.begin() + idx;
size_t id = (*it).first;
try {
NGT::GraphNode &srcNode = (*it).second;
std::unordered_map<uint32_t, std::pair<size_t, double> > neighbors;
for (size_t sni = 0; sni < srcNode.size(); ++sni) {
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
neighbors[srcNode.at(sni, outGraph.repository.allocator).id] = std::pair<size_t, double>(sni, srcNode.at(sni, outGraph.repository.allocator).distance);
#else
neighbors[srcNode[sni].id] = std::pair<size_t, double>(sni, srcNode[sni].distance);
#endif
}
std::vector<std::pair<int, std::pair<uint32_t, uint32_t> > > candidates;
for (size_t sni = 0; sni < srcNode.size(); sni++) {
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
assert(srcNode.at(sni, outGraph.repository.allocator).id == tmpGraph[srcNode.at(sni, outGraph.repository.allocator).id - 1].first);
NGT::GraphNode &pathNode = tmpGraph[srcNode.at(sni, outGraph.repository.allocator).id - 1].second;
#else
assert(srcNode[sni].id == tmpGraph[srcNode[sni].id - 1].first);
NGT::GraphNode &pathNode = tmpGraph[srcNode[sni].id - 1].second;
#endif
for (size_t pni = 0; pni < pathNode.size(); pni++) {
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
auto dstNodeID = pathNode.at(pni, outGraph.repository.allocator).id;
#else
auto dstNodeID = pathNode[pni].id;
#endif
auto dstNode = neighbors.find(dstNodeID);
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
if (dstNode != neighbors.end()
&& srcNode.at(sni, outGraph.repository.allocator).distance < (*dstNode).second.second
&& pathNode.at(pni, outGraph.repository.allocator).distance < (*dstNode).second.second
) {
#else
if (dstNode != neighbors.end()
&& srcNode[sni].distance < (*dstNode).second.second
&& pathNode[pni].distance < (*dstNode).second.second
) {
#endif
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
candidates.push_back(std::pair<int, std::pair<uint32_t, uint32_t> >((*dstNode).second.first, std::pair<uint32_t, uint32_t>(srcNode.at(sni, outGraph.repository.allocator).id, dstNodeID)));
#else
candidates.push_back(std::pair<int, std::pair<uint32_t, uint32_t> >((*dstNode).second.first, std::pair<uint32_t, uint32_t>(srcNode[sni].id, dstNodeID)));
#endif
removeCandidateCount++;
}
}
}
sort(candidates.begin(), candidates.end(), std::greater<std::pair<int, std::pair<uint32_t, uint32_t>>>());
for (size_t i = 0; i < candidates.size(); i++) {
removeCandidates[idx].push_back(candidates[i].second);
}
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
continue;
}
}
timer.stop();
std::cerr << "GraphReconstructor::adjustPaths extracting removed edge candidates time=" << timer << std::endl;
timer.reset();
timer.start();
std::list<size_t> ids;
for (auto it = tmpGraph.begin(); it != tmpGraph.end(); ++it) {
size_t id = (*it).first;
ids.push_back(id);
}
int removeCount = 0;
removeCandidateCount = 0;
std::vector<std::unordered_set<uint32_t> > edges(tmpGraph.size());
for (size_t rank = 0; ids.size() != 0; rank++) {
for (auto it = ids.begin(); it != ids.end(); ) {
size_t id = *it;
size_t idx = id - 1;
try {
NGT::GraphNode &srcNode = tmpGraph[idx].second;
if (rank >= srcNode.size()) {
if (!removeCandidates[idx].empty()) {
std::cerr << "Something wrong! ID=" << id << " # of remaining candidates=" << removeCandidates[idx].size() << std::endl;
abort();
}
it = ids.erase(it);
continue;
}
if (removeCandidates[idx].size() > 0) {
removeCandidateCount++;
bool pathExist = false;
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
while (!removeCandidates[idx].empty() && (removeCandidates[idx].back().second == srcNode.at(rank, outGraph.repository.allocator).id)) {
#else
while (!removeCandidates[idx].empty() && (removeCandidates[idx].back().second == srcNode[rank].id)) {
#endif
size_t path = removeCandidates[idx].back().first;
size_t dst = removeCandidates[idx].back().second;
removeCandidates[idx].pop_back();
if ((edges[idx].find(path) != edges[idx].end()) && (edges[path - 1].find(dst) != edges[path - 1].end())) {
pathExist = true;
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
while (!removeCandidates[idx].empty() && (removeCandidates[idx].back().second == srcNode.at(rank, outGraph.repository.allocator).id)) {
#else
while (!removeCandidates[idx].empty() && (removeCandidates[idx].back().second == srcNode[rank].id)) {
#endif
removeCandidates[idx].pop_back();
}
break;
}
}
if (pathExist) {
removeCount++;
it++;
continue;
}
}
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
edges[idx].insert(srcNode.at(rank, outGraph.repository.allocator).id);
#else
edges[idx].insert(srcNode[rank].id);
#endif
NGT::GraphNode &outSrcNode = *outGraph.getNode(id);
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
outSrcNode.push_back(NGT::ObjectDistance(srcNode.at(rank, outGraph.repository.allocator).id, srcNode.at(rank, outGraph.repository.allocator).distance), outGraph.repository.allocator);
#else
size_t r = outSrcNode.capacity();
size_t s = outSrcNode.size();
outSrcNode.push_back(NGT::ObjectDistance(srcNode[rank].id, srcNode[rank].distance));
if (r != outSrcNode.capacity()) {
std::cerr << id << "-" << rank << " " << s << ":" << r << ":" << outSrcNode.capacity() << std::endl;
}
#endif
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
it++;
continue;
}
it++;
}
}
}
static
void convertToANNG(std::vector<NGT::ObjectDistances> &graph)
{
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
std::cerr << "convertToANNG is not implemented for shared memory." << std::endl;
return;
#else
std::cerr << "convertToANNG begin" << std::endl;
for (size_t idx = 0; idx < graph.size(); idx++) {
NGT::GraphNode &node = graph[idx];
for (auto ni = node.begin(); ni != node.end(); ++ni) {
graph[(*ni).id - 1].push_back(NGT::ObjectDistance(idx + 1, (*ni).distance));
}
}
for (size_t idx = 0; idx < graph.size(); idx++) {
NGT::GraphNode &node = graph[idx];
if (node.size() == 0) {
continue;
}
std::sort(node.begin(), node.end());
NGT::ObjectID prev = 0;
for (auto it = node.begin(); it != node.end();) {
if (prev == (*it).id) {
it = node.erase(it);
continue;
}
prev = (*it).id;
it++;
}
NGT::GraphNode tmp = node;
node.swap(tmp);
}
std::cerr << "convertToANNG end" << std::endl;
#endif
}
static
void reconstructGraph(std::vector<NGT::ObjectDistances> &graph, NGT::Index &outIndex, size_t originalEdgeSize, size_t reverseEdgeSize)
{
if (reverseEdgeSize > 10000) {
std::cerr << "something wrong. Edge size=" << reverseEdgeSize << std::endl;
exit(1);
}
NGT::Timer originalEdgeTimer, reverseEdgeTimer, normalizeEdgeTimer;
originalEdgeTimer.start();
NGT::GraphIndex &outGraph = dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex());
for (size_t id = 1; id < outGraph.repository.size(); id++) {
try {
NGT::GraphNode &node = *outGraph.getNode(id);
if (originalEdgeSize == 0) {
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
node.clear(outGraph.repository.allocator);
#else
NGT::GraphNode empty;
node.swap(empty);
#endif
} else {
NGT::ObjectDistances n = graph[id - 1];
if (n.size() < originalEdgeSize) {
std::cerr << "node size is too few." << std::endl;
std::cerr << n.size() << ":" << originalEdgeSize << std::endl;
continue;
}
n.resize(originalEdgeSize);
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
node.copy(n, outGraph.repository.allocator);
#else
node.swap(n);
#endif
}
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
continue;
}
}
originalEdgeTimer.stop();
reverseEdgeTimer.start();
int insufficientNodeCount = 0;
for (size_t id = 1; id <= graph.size(); ++id) {
try {
NGT::ObjectDistances &node = graph[id - 1];
size_t rsize = reverseEdgeSize;
if (rsize > node.size()) {
insufficientNodeCount++;
rsize = node.size();
}
for (size_t i = 0; i < rsize; ++i) {
NGT::Distance distance = node[i].distance;
size_t nodeID = node[i].id;
try {
NGT::GraphNode &n = *outGraph.getNode(nodeID);
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
n.push_back(NGT::ObjectDistance(id, distance), outGraph.repository.allocator);
#else
n.push_back(NGT::ObjectDistance(id, distance));
#endif
} catch(...) {}
}
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
continue;
}
}
reverseEdgeTimer.stop();
if (insufficientNodeCount != 0) {
std::cerr << "# of the nodes edges of which are in short = " << insufficientNodeCount << std::endl;
}
normalizeEdgeTimer.start();
for (size_t id = 1; id < outGraph.repository.size(); id++) {
try {
NGT::GraphNode &n = *outGraph.getNode(id);
if (id % 100000 == 0) {
std::cerr << "Processed " << id << " nodes" << std::endl;
}
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
std::sort(n.begin(outGraph.repository.allocator), n.end(outGraph.repository.allocator));
#else
std::sort(n.begin(), n.end());
#endif
NGT::ObjectID prev = 0;
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
for (auto it = n.begin(outGraph.repository.allocator); it != n.end(outGraph.repository.allocator);) {
#else
for (auto it = n.begin(); it != n.end();) {
#endif
if (prev == (*it).id) {
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
it = n.erase(it, outGraph.repository.allocator);
#else
it = n.erase(it);
#endif
continue;
}
prev = (*it).id;
it++;
}
#if !defined(NGT_SHARED_MEMORY_ALLOCATOR)
NGT::GraphNode tmp = n;
n.swap(tmp);
#endif
} catch (...) {
std::cerr << "Graph::construct: error. something wrong. ID=" << id << std::endl;
}
}
normalizeEdgeTimer.stop();
std::cerr << "Reconstruction time=" << originalEdgeTimer.time << ":" << reverseEdgeTimer.time
<< ":" << normalizeEdgeTimer.time << std::endl;
std::cerr << "original edge size=" << originalEdgeSize << std::endl;
std::cerr << "reverse edge size=" << reverseEdgeSize << std::endl;
}
static
void reconstructGraphWithConstraint(std::vector<NGT::ObjectDistances> &graph, NGT::Index &outIndex,
size_t originalEdgeSize, size_t reverseEdgeSize,
char mode = 'a')
{
#if defined(NGT_SHARED_MEMORY_ALLOCATOR)
std::cerr << "reconstructGraphWithConstraint is not implemented." << std::endl;
abort();
#else
NGT::Timer originalEdgeTimer, reverseEdgeTimer, normalizeEdgeTimer;
if (reverseEdgeSize > 10000) {
std::cerr << "something wrong. Edge size=" << reverseEdgeSize << std::endl;
exit(1);
}
NGT::GraphIndex &outGraph = dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex());
for (size_t id = 1; id < outGraph.repository.size(); id++) {
if (id % 1000000 == 0) {
std::cerr << "Processed " << id << std::endl;
}
try {
NGT::GraphNode &node = *outGraph.getNode(id);
if (node.size() == 0) {
continue;
}
node.clear();
NGT::GraphNode empty;
node.swap(empty);
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
continue;
}
}
NGT::GraphIndex::showStatisticsOfGraph(dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex()));
std::vector<ObjectDistances> reverse(graph.size() + 1);
for (size_t id = 1; id <= graph.size(); ++id) {
try {
NGT::GraphNode &node = graph[id - 1];
if (id % 100000 == 0) {
std::cerr << "Processed (summing up) " << id << std::endl;
}
for (size_t rank = 0; rank < node.size(); rank++) {
reverse[node[rank].id].push_back(ObjectDistance(id, node[rank].distance));
}
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
continue;
}
}
std::vector<std::pair<size_t, size_t> > reverseSize(graph.size() + 1);
reverseSize[0] = std::pair<size_t, size_t>(0, 0);
for (size_t rid = 1; rid <= graph.size(); ++rid) {
reverseSize[rid] = std::pair<size_t, size_t>(reverse[rid].size(), rid);
}
std::sort(reverseSize.begin(), reverseSize.end());
std::vector<uint32_t> indegreeCount(graph.size(), 0);
size_t zeroCount = 0;
for (size_t sizerank = 0; sizerank <= reverseSize.size(); sizerank++) {
if (reverseSize[sizerank].first == 0) {
zeroCount++;
continue;
}
size_t rid = reverseSize[sizerank].second;
ObjectDistances &rnode = reverse[rid];
for (auto rni = rnode.begin(); rni != rnode.end(); ++rni) {
if (indegreeCount[(*rni).id] >= reverseEdgeSize) {
continue;
}
NGT::GraphNode &node = *outGraph.getNode(rid);
if (indegreeCount[(*rni).id] > 0 && node.size() >= originalEdgeSize) {
continue;
}
node.push_back(NGT::ObjectDistance((*rni).id, (*rni).distance));
indegreeCount[(*rni).id]++;
}
}
reverseEdgeTimer.stop();
std::cerr << "The number of nodes with zero outdegree by reverse edges=" << zeroCount << std::endl;
NGT::GraphIndex::showStatisticsOfGraph(dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex()));
normalizeEdgeTimer.start();
for (size_t id = 1; id < outGraph.repository.size(); id++) {
try {
NGT::GraphNode &n = *outGraph.getNode(id);
if (id % 100000 == 0) {
std::cerr << "Processed " << id << std::endl;
}
std::sort(n.begin(), n.end());
NGT::ObjectID prev = 0;
for (auto it = n.begin(); it != n.end();) {
if (prev == (*it).id) {
it = n.erase(it);
continue;
}
prev = (*it).id;
it++;
}
NGT::GraphNode tmp = n;
n.swap(tmp);
} catch (...) {
std::cerr << "Graph::construct: error. something wrong. ID=" << id << std::endl;
}
}
normalizeEdgeTimer.stop();
NGT::GraphIndex::showStatisticsOfGraph(dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex()));
originalEdgeTimer.start();
for (size_t id = 1; id < outGraph.repository.size(); id++) {
if (id % 1000000 == 0) {
std::cerr << "Processed " << id << std::endl;
}
NGT::GraphNode &node = graph[id - 1];
try {
NGT::GraphNode &onode = *outGraph.getNode(id);
bool stop = false;
for (size_t rank = 0; (rank < node.size() && rank < originalEdgeSize) && stop == false; rank++) {
switch (mode) {
case 'a':
if (onode.size() >= originalEdgeSize) {
stop = true;
continue;
}
break;
case 'c':
break;
}
NGT::Distance distance = node[rank].distance;
size_t nodeID = node[rank].id;
outGraph.addEdge(id, nodeID, distance, false);
}
} catch(NGT::Exception &err) {
std::cerr << "GraphReconstructor: Warning. Cannot get the node. ID=" << id << ":" << err.what() << std::endl;
continue;
}
}
originalEdgeTimer.stop();
NGT::GraphIndex::showStatisticsOfGraph(dynamic_cast<NGT::GraphIndex&>(outIndex.getIndex()));
std::cerr << "Reconstruction time=" << originalEdgeTimer.time << ":" << reverseEdgeTimer.time
<< ":" << normalizeEdgeTimer.time << std::endl;
std::cerr << "original edge size=" << originalEdgeSize << std::endl;
std::cerr << "reverse edge size=" << reverseEdgeSize << std::endl;
#endif
}
};
}; // NGT
|
trmv_x_dia_u_lo_trans.c | #include "alphasparse/kernel.h"
#include "alphasparse/opt.h"
#include "alphasparse/util.h"
#include <string.h>
#ifdef _OPENMP
#include <omp.h>
#endif
static alphasparse_status_t ONAME_omp(const ALPHA_Number alpha,
const ALPHA_SPMAT_DIA* A,
const ALPHA_Number* x,
const ALPHA_Number beta,
ALPHA_Number* y)
{
const ALPHA_INT m = A->rows;
const ALPHA_INT n = A->cols;
if(m != n) return ALPHA_SPARSE_STATUS_INVALID_VALUE;
const ALPHA_INT thread_num = alpha_get_thread_num();
ALPHA_Number** tmp = (ALPHA_Number**)malloc(sizeof(ALPHA_Number*) * thread_num);
for(int i = 0; i < thread_num; ++i)
{
tmp[i] = malloc(sizeof(ALPHA_Number) * m);
memset(tmp[i], 0, sizeof(ALPHA_Number) * m);
}
const ALPHA_INT diags = A->ndiag;
#ifdef _OPENMP
#pragma omp parallel for num_threads(thread_num)
#endif
for (ALPHA_INT i = 0; i < diags; ++i)
{
const ALPHA_INT threadId = alpha_get_thread_id();
const ALPHA_INT dis = A->distance[i];
if(dis < 0)
{
const ALPHA_INT row_start = -dis;
const ALPHA_INT col_start = 0;
const ALPHA_INT nnz = m + dis;
const ALPHA_INT start = i * A->lval;
for(ALPHA_INT j = 0; j < nnz; ++j)
{
ALPHA_Number v;
alpha_mul(v, alpha, A->values[start + row_start + j]);
alpha_madde(tmp[threadId][col_start + j], v, x[row_start + j]);
}
}
}
#ifdef _OPENMP
#pragma omp parallel for num_threads(thread_num)
#endif
for(ALPHA_INT i = 0; i < m; ++i)
{
alpha_mul(y[i], beta, y[i]);
alpha_madde(y[i], alpha, x[i]);
for(ALPHA_INT j = 0; j < thread_num; ++j)
{
alpha_add(y[i], y[i], tmp[j][i]);
}
}
#ifdef _OPENMP
#pragma omp parallel for num_threads(thread_num)
#endif
for (ALPHA_INT i = 0; i < thread_num; ++i)
{
alpha_free(tmp[i]);
}
alpha_free(tmp);
return ALPHA_SPARSE_STATUS_SUCCESS;
}
alphasparse_status_t
ONAME(const ALPHA_Number alpha,
const ALPHA_SPMAT_DIA* A,
const ALPHA_Number* x,
const ALPHA_Number beta,
ALPHA_Number* y)
{
return ONAME_omp(alpha, A, x, beta, y);
}
|
GB_unop__identity_fp32_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_fp32_fc64)
// op(A') function: GB (_unop_tran__identity_fp32_fc64)
// C type: float
// A type: GxB_FC64_t
// cast: float cij = (float) creal (aij)
// unaryop: cij = aij
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
float z = (float) creal (aij) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
float z = (float) creal (aij) ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FP32 || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_fp32_fc64)
(
float *Cx, // Cx and Ax may be aliased
const GxB_FC64_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC64_t aij = Ax [p] ;
float z = (float) creal (aij) ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
GxB_FC64_t aij = Ax [p] ;
float z = (float) creal (aij) ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_fp32_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
Par-32-ParSectionsAssignments.c |
int main(int argc, char **argv) {
int a[4] = {1,2,3,4};
#pragma omp parallel
{
#pragma omp sections
{
#pragma omp section
{
a[0] = 2;
a[3] = 1;
}
#pragma omp section
{
a[1] = 3;
a[2] = 1;
}
#pragma omp section
{
a[2] = 10;
a[0] = 2;
}
}
}
return 0;
}
|
configurator.c | /* Simple tool to create config.h.
* Would be much easier with ccan modules, but deliberately standalone.
*
* Copyright 2011 Rusty Russell <rusty@rustcorp.com.au>. MIT license.
*
* c12r_err, c12r_errx functions copied from ccan/err/err.c
* Copyright Rusty Russell <rusty@rustcorp.com.au>. CC0 (Public domain) License.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#define _POSIX_C_SOURCE 200809L /* For pclose, popen, strdup */
#define EXIT_BAD_USAGE 1
#define EXIT_TROUBLE_RUNNING 2
#define EXIT_BAD_TEST 3
#define EXIT_BAD_INPUT 4
#include <errno.h>
#include <stdio.h>
#include <stdarg.h>
#include <stdbool.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#ifdef _MSC_VER
#define popen _popen
#define pclose _pclose
#endif
#ifdef _MSC_VER
#define DEFAULT_COMPILER "cl"
/* Note: Dash options avoid POSIX path conversion when used under msys bash
* and are therefore preferred to slash (e.g. -nologo over /nologo)
* Note: Disable Warning 4200 "nonstandard extension used : zero-sized array
* in struct/union" for flexible array members.
*/
#define DEFAULT_FLAGS "-nologo -Zi -W4 -wd4200 " \
"-D_CRT_NONSTDC_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS"
#define DEFAULT_OUTPUT_EXE_FLAG "-Fe:"
#else
#define DEFAULT_COMPILER "cc"
#define DEFAULT_FLAGS "-g3 -ggdb -Wall -Wundef -Wmissing-prototypes -Wmissing-declarations -Wstrict-prototypes -Wold-style-definition"
#define DEFAULT_OUTPUT_EXE_FLAG "-o"
#endif
#define OUTPUT_FILE "configurator.out"
#define INPUT_FILE "configuratortest.c"
#ifdef _WIN32
#define DIR_SEP "\\"
#else
#define DIR_SEP "/"
#endif
static const char *progname = "";
static int verbose;
static bool like_a_libtool = false;
struct test {
const char *name;
const char *desc;
/*
* Template style flags (pick one):
* OUTSIDE_MAIN:
* - put a simple boilerplate main below it.
* DEFINES_FUNC:
* - defines a static function called func; adds ref to avoid warnings
* INSIDE_MAIN:
* - put this inside main().
* DEFINES_EVERYTHING:
* - don't add any boilerplate at all.
*
* Execution flags:
* EXECUTE:
* - a runtime test; must compile, exit 0 means flag is set.
* MAY_NOT_COMPILE:
* - Only useful with EXECUTE: don't get upset if it doesn't compile.
* <nothing>:
* - a compile test, if it compiles must run and exit 0.
*/
const char *style;
const char *depends;
const char *link;
const char *fragment;
const char *flags;
const char *overrides; /* On success, force this to '1' */
bool done;
bool answer;
};
/* Terminated by a NULL name */
static struct test *tests;
static const struct test base_tests[] = {
{ "HAVE_32BIT_OFF_T", "off_t is 32 bits",
"DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE", NULL, NULL,
"#include <sys/types.h>\n"
"int main(void) {\n"
" return sizeof(off_t) == 4 ? 0 : 1;\n"
"}\n" },
{ "HAVE_ALIGNOF", "__alignof__ support",
"INSIDE_MAIN", NULL, NULL,
"return __alignof__(double) > 0 ? 0 : 1;" },
{ "HAVE_ASPRINTF", "asprintf() declaration",
"DEFINES_FUNC", NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <stdio.h>\n"
"static char *func(int x) {"
" char *p;\n"
" if (asprintf(&p, \"%u\", x) == -1) \n"
" p = NULL;\n"
" return p;\n"
"}" },
{ "HAVE_ATTRIBUTE_COLD", "__attribute__((cold)) support",
"DEFINES_FUNC", NULL, NULL,
"static int __attribute__((cold)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_CONST", "__attribute__((const)) support",
"DEFINES_FUNC", NULL, NULL,
"static int __attribute__((const)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_DEPRECATED", "__attribute__((deprecated)) support",
"DEFINES_FUNC", NULL, NULL,
"static int __attribute__((deprecated)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_NONNULL", "__attribute__((nonnull)) support",
"DEFINES_FUNC", NULL, NULL,
"static char *__attribute__((nonnull)) func(char *p) { return p; }" },
{ "HAVE_ATTRIBUTE_SENTINEL", "__attribute__((sentinel)) support",
"DEFINES_FUNC", NULL, NULL,
"static int __attribute__((sentinel)) func(int i, ...) { return i; }" },
{ "HAVE_ATTRIBUTE_PURE", "__attribute__((pure)) support",
"DEFINES_FUNC", NULL, NULL,
"static int __attribute__((pure)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_MAY_ALIAS", "__attribute__((may_alias)) support",
"OUTSIDE_MAIN", NULL, NULL,
"typedef short __attribute__((__may_alias__)) short_a;" },
{ "HAVE_ATTRIBUTE_NORETURN", "__attribute__((noreturn)) support",
"DEFINES_FUNC", NULL, NULL,
"#include <stdlib.h>\n"
"static void __attribute__((noreturn)) func(int x) { exit(x); }" },
{ "HAVE_ATTRIBUTE_PRINTF", "__attribute__ format printf support",
"DEFINES_FUNC", NULL, NULL,
"static void __attribute__((format(__printf__, 1, 2))) func(const char *fmt, ...) { (void)fmt; }" },
{ "HAVE_ATTRIBUTE_UNUSED", "__attribute__((unused)) support",
"OUTSIDE_MAIN", NULL, NULL,
"static int __attribute__((unused)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_USED", "__attribute__((used)) support",
"OUTSIDE_MAIN", NULL, NULL,
"static int __attribute__((used)) func(int x) { return x; }" },
{ "HAVE_BACKTRACE", "backtrace() in <execinfo.h>",
"DEFINES_FUNC", NULL, NULL,
"#include <execinfo.h>\n"
"static int func(int x) {"
" void *bt[10];\n"
" return backtrace(bt, 10) < x;\n"
"}" },
{ "HAVE_BIG_ENDIAN", "big endian",
"INSIDE_MAIN|EXECUTE", NULL, NULL,
"union { int i; char c[sizeof(int)]; } u;\n"
"u.i = 0x01020304;\n"
"return u.c[0] == 0x01 && u.c[1] == 0x02 && u.c[2] == 0x03 && u.c[3] == 0x04 ? 0 : 1;" },
{ "HAVE_BSWAP_64", "bswap64 in byteswap.h",
"DEFINES_FUNC", "HAVE_BYTESWAP_H", NULL,
"#include <byteswap.h>\n"
"static int func(int x) { return bswap_64(x); }" },
{ "HAVE_BUILTIN_CHOOSE_EXPR", "__builtin_choose_expr support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_choose_expr(1, 0, \"garbage\");" },
{ "HAVE_BUILTIN_CLZ", "__builtin_clz support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_clz(1) == (sizeof(int)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CLZL", "__builtin_clzl support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_clzl(1) == (sizeof(long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CLZLL", "__builtin_clzll support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_clzll(1) == (sizeof(long long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CTZ", "__builtin_ctz support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_ctz(1 << (sizeof(int)*8 - 1)) == (sizeof(int)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CTZL", "__builtin_ctzl support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_ctzl(1UL << (sizeof(long)*8 - 1)) == (sizeof(long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CTZLL", "__builtin_ctzll support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_ctzll(1ULL << (sizeof(long long)*8 - 1)) == (sizeof(long long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CONSTANT_P", "__builtin_constant_p support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_constant_p(1) ? 0 : 1;" },
{ "HAVE_BUILTIN_EXPECT", "__builtin_expect support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_expect(argc == 1, 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_FFS", "__builtin_ffs support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_ffs(0) == 0 ? 0 : 1;" },
{ "HAVE_BUILTIN_FFSL", "__builtin_ffsl support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_ffsl(0L) == 0 ? 0 : 1;" },
{ "HAVE_BUILTIN_FFSLL", "__builtin_ffsll support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_ffsll(0LL) == 0 ? 0 : 1;" },
{ "HAVE_BUILTIN_POPCOUNT", "__builtin_popcount support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_popcount(255) == 8 ? 0 : 1;" },
{ "HAVE_BUILTIN_POPCOUNTL", "__builtin_popcountl support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_popcountl(255L) == 8 ? 0 : 1;" },
{ "HAVE_BUILTIN_POPCOUNTLL", "__builtin_popcountll support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_popcountll(255LL) == 8 ? 0 : 1;" },
{ "HAVE_BUILTIN_TYPES_COMPATIBLE_P", "__builtin_types_compatible_p support",
"INSIDE_MAIN", NULL, NULL,
"return __builtin_types_compatible_p(char *, int) ? 1 : 0;" },
{ "HAVE_ICCARM_INTRINSICS", "<intrinsics.h>",
"DEFINES_FUNC", NULL, NULL,
"#include <intrinsics.h>\n"
"int func(int v) {\n"
" return __CLZ(__RBIT(v));\n"
"}" },
{ "HAVE_BYTESWAP_H", "<byteswap.h>",
"OUTSIDE_MAIN", NULL, NULL,
"#include <byteswap.h>\n" },
{ "HAVE_CLOCK_GETTIME", "clock_gettime() declaration",
"DEFINES_FUNC", "HAVE_STRUCT_TIMESPEC", NULL,
"#include <time.h>\n"
"static struct timespec func(void) {\n"
" struct timespec ts;\n"
" clock_gettime(CLOCK_REALTIME, &ts);\n"
" return ts;\n"
"}\n" },
{ "HAVE_CLOCK_GETTIME_IN_LIBRT", "clock_gettime() in librt",
"DEFINES_FUNC",
"HAVE_STRUCT_TIMESPEC !HAVE_CLOCK_GETTIME",
"-lrt",
"#include <time.h>\n"
"static struct timespec func(void) {\n"
" struct timespec ts;\n"
" clock_gettime(CLOCK_REALTIME, &ts);\n"
" return ts;\n"
"}\n",
/* This means HAVE_CLOCK_GETTIME, too */
"HAVE_CLOCK_GETTIME" },
{ "HAVE_COMPOUND_LITERALS", "compound literal support",
"INSIDE_MAIN", NULL, NULL,
"int *foo = (int[]) { 1, 2, 3, 4 };\n"
"return foo[0] ? 0 : 1;" },
{ "HAVE_FCHDIR", "fchdir support",
"DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE", NULL, NULL,
"#include <sys/types.h>\n"
"#include <sys/stat.h>\n"
"#include <fcntl.h>\n"
"#include <unistd.h>\n"
"int main(void) {\n"
" int fd = open(\"..\", O_RDONLY);\n"
" return fchdir(fd) == 0 ? 0 : 1;\n"
"}\n" },
{ "HAVE_ERR_H", "<err.h>",
"DEFINES_FUNC", NULL, NULL,
"#include <err.h>\n"
"static void func(int arg) {\n"
" if (arg == 0)\n"
" err(1, \"err %u\", arg);\n"
" if (arg == 1)\n"
" errx(1, \"err %u\", arg);\n"
" if (arg == 3)\n"
" warn(\"warn %u\", arg);\n"
" if (arg == 4)\n"
" warnx(\"warn %u\", arg);\n"
"}\n" },
{ "HAVE_FILE_OFFSET_BITS", "_FILE_OFFSET_BITS to get 64-bit offsets",
"DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE",
"HAVE_32BIT_OFF_T", NULL,
"#define _FILE_OFFSET_BITS 64\n"
"#include <sys/types.h>\n"
"int main(void) {\n"
" return sizeof(off_t) == 8 ? 0 : 1;\n"
"}\n" },
{ "HAVE_FOR_LOOP_DECLARATION", "for loop declaration support",
"INSIDE_MAIN", NULL, NULL,
"int ret = 1;\n"
"for (int i = 0; i < argc; i++) { ret = 0; };\n"
"return ret;" },
{ "HAVE_FLEXIBLE_ARRAY_MEMBER", "flexible array member support",
"OUTSIDE_MAIN", NULL, NULL,
"struct foo { unsigned int x; int arr[]; };" },
{ "HAVE_GETPAGESIZE", "getpagesize() in <unistd.h>",
"DEFINES_FUNC", NULL, NULL,
"#include <unistd.h>\n"
"static int func(void) { return getpagesize(); }" },
{ "HAVE_ISBLANK", "isblank() in <ctype.h>",
"DEFINES_FUNC", NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <ctype.h>\n"
"static int func(void) { return isblank(' '); }" },
{ "HAVE_LITTLE_ENDIAN", "little endian",
"INSIDE_MAIN|EXECUTE", NULL, NULL,
"union { int i; char c[sizeof(int)]; } u;\n"
"u.i = 0x01020304;\n"
"return u.c[0] == 0x04 && u.c[1] == 0x03 && u.c[2] == 0x02 && u.c[3] == 0x01 ? 0 : 1;" },
{ "HAVE_MEMMEM", "memmem in <string.h>",
"DEFINES_FUNC", NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <string.h>\n"
"static void *func(void *h, size_t hl, void *n, size_t nl) {\n"
"return memmem(h, hl, n, nl);"
"}\n", },
{ "HAVE_MEMRCHR", "memrchr in <string.h>",
"DEFINES_FUNC", NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <string.h>\n"
"static void *func(void *s, int c, size_t n) {\n"
"return memrchr(s, c, n);"
"}\n", },
{ "HAVE_MMAP", "mmap() declaration",
"DEFINES_FUNC", NULL, NULL,
"#include <sys/mman.h>\n"
"static void *func(int fd) {\n"
" return mmap(0, 65536, PROT_READ, MAP_SHARED, fd, 0);\n"
"}" },
{ "HAVE_PROC_SELF_MAPS", "/proc/self/maps exists",
"DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE", NULL, NULL,
"#include <sys/types.h>\n"
"#include <sys/stat.h>\n"
"#include <fcntl.h>\n"
"int main(void) {\n"
" return open(\"/proc/self/maps\", O_RDONLY) != -1 ? 0 : 1;\n"
"}\n" },
{ "HAVE_QSORT_R_PRIVATE_LAST", "qsort_r cmp takes trailing arg",
"DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE", NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <stdlib.h>\n"
"static int cmp(const void *lp, const void *rp, void *priv) {\n"
" *(unsigned int *)priv = 1;\n"
" return *(const int *)lp - *(const int *)rp; }\n"
"int main(void) {\n"
" int array[] = { 9, 2, 5 };\n"
" unsigned int called = 0;\n"
" qsort_r(array, 3, sizeof(int), cmp, &called);\n"
" return called && array[0] == 2 && array[1] == 5 && array[2] == 9 ? 0 : 1;\n"
"}\n" },
{ "HAVE_STRUCT_TIMESPEC", "struct timespec declaration",
"DEFINES_FUNC", NULL, NULL,
"#include <time.h>\n"
"static void func(void) {\n"
" struct timespec ts;\n"
" ts.tv_sec = ts.tv_nsec = 1;\n"
"}\n" },
{ "HAVE_SECTION_START_STOP", "__attribute__((section)) and __start/__stop",
"DEFINES_FUNC", NULL, NULL,
"static void *__attribute__((__section__(\"mysec\"))) p = &p;\n"
"static int func(void) {\n"
" extern void *__start_mysec[], *__stop_mysec[];\n"
" return __stop_mysec - __start_mysec;\n"
"}\n" },
{ "HAVE_STACK_GROWS_UPWARDS", "stack grows upwards",
"DEFINES_EVERYTHING|EXECUTE", NULL, NULL,
"#include <stddef.h>\n"
"static ptrdiff_t nest(const void *base, unsigned int i)\n"
"{\n"
" if (i == 0)\n"
" return (const char *)&i - (const char *)base;\n"
" return nest(base, i-1);\n"
"}\n"
"int main(int argc, char *argv[]) {\n"
" (void)argv;\n"
" return (nest(&argc, argc) > 0) ? 0 : 1;\n"
"}\n" },
{ "HAVE_STATEMENT_EXPR", "statement expression support",
"INSIDE_MAIN", NULL, NULL,
"return ({ int x = argc; x == argc ? 0 : 1; });" },
{ "HAVE_SYS_FILIO_H", "<sys/filio.h>",
"OUTSIDE_MAIN", NULL, NULL, /* Solaris needs this for FIONREAD */
"#include <sys/filio.h>\n" },
{ "HAVE_SYS_TERMIOS_H", "<sys/termios.h>",
"OUTSIDE_MAIN", NULL, NULL,
"#include <sys/termios.h>\n" },
{ "HAVE_SYS_UNISTD_H", "<sys/unistd.h>",
"OUTSIDE_MAIN", NULL, NULL,
"#include <sys/unistd.h>\n" },
{ "HAVE_TYPEOF", "__typeof__ support",
"INSIDE_MAIN", NULL, NULL,
"__typeof__(argc) i; i = argc; return i == argc ? 0 : 1;" },
{ "HAVE_UNALIGNED_ACCESS", "unaligned access to int",
"DEFINES_EVERYTHING|EXECUTE", NULL, NULL,
"#include <string.h>\n"
"int main(int argc, char *argv[]) {\n"
" (void)argc;\n"
" char pad[sizeof(int *) * 1];\n"
" strncpy(pad, argv[0], sizeof(pad));\n"
" int *x = (int *)pad, *y = (int *)(pad + 1);\n"
" return *x == *y;\n"
"}\n" },
{ "HAVE_UTIME", "utime() declaration",
"DEFINES_FUNC", NULL, NULL,
"#include <sys/types.h>\n"
"#include <utime.h>\n"
"static int func(const char *filename) {\n"
" struct utimbuf times = { 0 };\n"
" return utime(filename, ×);\n"
"}" },
{ "HAVE_WARN_UNUSED_RESULT", "__attribute__((warn_unused_result))",
"DEFINES_FUNC", NULL, NULL,
"#include <sys/types.h>\n"
"#include <utime.h>\n"
"static __attribute__((warn_unused_result)) int func(int i) {\n"
" return i + 1;\n"
"}" },
{ "HAVE_OPENMP", "#pragma omp and -fopenmp support",
"INSIDE_MAIN", NULL, NULL,
"int i;\n"
"#pragma omp parallel for\n"
"for(i = 0; i < 0; i++) {};\n"
"return 0;\n",
"-Werror -fopenmp" },
{ "HAVE_VALGRIND_MEMCHECK_H", "<valgrind/memcheck.h>",
"OUTSIDE_MAIN", NULL, NULL,
"#include <valgrind/memcheck.h>\n" },
{ "HAVE_UCONTEXT", "working <ucontext.h",
"DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE",
NULL, NULL,
"#include <ucontext.h>\n"
"static int x = 0;\n"
"static char stack[2048];\n"
"static ucontext_t a, b;\n"
"static void fn(void) {\n"
" x |= 2;\n"
" setcontext(&b);\n"
" x |= 4;\n"
"}\n"
"int main(void) {\n"
" x |= 1;\n"
" getcontext(&a);\n"
" a.uc_stack.ss_sp = stack;\n"
" a.uc_stack.ss_size = sizeof(stack);\n"
" makecontext(&a, fn, 0);\n"
" swapcontext(&b, &a);\n"
" return (x == 3) ? 0 : 1;\n"
"}\n"
},
{ "HAVE_POINTER_SAFE_MAKECONTEXT", "passing pointers via makecontext()",
"DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE",
"HAVE_UCONTEXT", NULL,
"#include <stddef.h>\n"
"#include <ucontext.h>\n"
"static int worked = 0;\n"
"static char stack[1024];\n"
"static ucontext_t a, b;\n"
"static void fn(void *p, void *q) {\n"
" void *cp = &worked;\n"
" void *cq = (void *)(~((ptrdiff_t)cp));\n"
" if ((p == cp) && (q == cq))\n"
" worked = 1;\n"
" setcontext(&b);\n"
"}\n"
"int main(void) {\n"
" void *ap = &worked;\n"
" void *aq = (void *)(~((ptrdiff_t)ap));\n"
" getcontext(&a);\n"
" a.uc_stack.ss_sp = stack;\n"
" a.uc_stack.ss_size = sizeof(stack);\n"
" makecontext(&a, (void (*)(void))fn, 2, ap, aq);\n"
" swapcontext(&b, &a);\n"
" return worked ? 0 : 1;\n"
"}\n"
},
};
static void c12r_err(int eval, const char *fmt, ...)
{
int err_errno = errno;
va_list ap;
fprintf(stderr, "%s: ", progname);
va_start(ap, fmt);
vfprintf(stderr, fmt, ap);
va_end(ap);
fprintf(stderr, ": %s\n", strerror(err_errno));
exit(eval);
}
static void c12r_errx(int eval, const char *fmt, ...)
{
va_list ap;
fprintf(stderr, "%s: ", progname);
va_start(ap, fmt);
vfprintf(stderr, fmt, ap);
va_end(ap);
fprintf(stderr, "\n");
exit(eval);
}
static void start_test(const char *what, const char *why)
{
if (like_a_libtool) {
printf("%s%s... ", what, why);
fflush(stdout);
}
}
static void end_test(bool result)
{
if (like_a_libtool)
printf("%s\n", result ? "yes" : "no");
}
static size_t fcopy(FILE *fsrc, FILE *fdst)
{
char buffer[BUFSIZ];
size_t rsize, wsize;
size_t copied = 0;
while ((rsize = fread(buffer, 1, BUFSIZ, fsrc)) > 0) {
wsize = fwrite(buffer, 1, rsize, fdst);
copied += wsize;
if (wsize != rsize)
break;
}
return copied;
}
static char *grab_stream(FILE *file)
{
size_t max, ret, size = 0;
char *buffer;
max = BUFSIZ;
buffer = malloc(max);
while ((ret = fread(buffer+size, 1, max - size, file)) == max - size) {
size += ret;
buffer = realloc(buffer, max *= 2);
}
size += ret;
if (ferror(file))
c12r_err(EXIT_TROUBLE_RUNNING, "reading from command");
buffer[size] = '\0';
return buffer;
}
static char *run(const char *cmd, int *exitstatus)
{
static const char redir[] = " 2>&1";
size_t cmdlen;
char *cmdredir;
FILE *cmdout;
char *ret;
cmdlen = strlen(cmd);
cmdredir = malloc(cmdlen + sizeof(redir));
memcpy(cmdredir, cmd, cmdlen);
memcpy(cmdredir + cmdlen, redir, sizeof(redir));
cmdout = popen(cmdredir, "r");
if (!cmdout)
c12r_err(EXIT_TROUBLE_RUNNING, "popen \"%s\"", cmdredir);
free(cmdredir);
ret = grab_stream(cmdout);
*exitstatus = pclose(cmdout);
return ret;
}
static char *connect_args(const char *argv[], const char *outflag,
const char *files)
{
unsigned int i;
char *ret;
size_t len = strlen(outflag) + strlen(files) + 1;
for (i = 1; argv[i]; i++)
len += 1 + strlen(argv[i]);
ret = malloc(len);
len = 0;
for (i = 1; argv[i]; i++) {
strcpy(ret + len, argv[i]);
len += strlen(argv[i]);
if (argv[i+1] || *outflag)
ret[len++] = ' ';
}
strcpy(ret + len, outflag);
len += strlen(outflag);
strcpy(ret + len, files);
return ret;
}
static struct test *find_test(const char *name)
{
unsigned int i;
for (i = 0; tests[i].name; i++) {
if (strcmp(tests[i].name, name) == 0)
return &tests[i];
}
c12r_errx(EXIT_BAD_TEST, "Unknown test %s", name);
abort();
}
#define PRE_BOILERPLATE "/* Test program generated by configurator. */\n"
#define MAIN_START_BOILERPLATE \
"int main(int argc, char *argv[]) {\n" \
" (void)argc;\n" \
" (void)argv;\n"
#define USE_FUNC_BOILERPLATE "(void)func;\n"
#define MAIN_BODY_BOILERPLATE "return 0;\n"
#define MAIN_END_BOILERPLATE "}\n"
static bool run_test(const char *cmd, struct test *test)
{
char *output, *newcmd;
FILE *outf;
int status;
if (test->done)
return test->answer;
if (test->depends) {
size_t len;
const char *deps = test->depends;
char *dep;
/* Space-separated dependencies, could be ! for inverse. */
while ((len = strcspn(deps, " ")) != 0) {
bool positive = true;
if (deps[len]) {
dep = strdup(deps);
dep[len] = '\0';
} else {
dep = (char *)deps;
}
if (dep[0] == '!') {
dep++;
positive = false;
}
if (run_test(cmd, find_test(dep)) != positive) {
test->answer = false;
test->done = true;
return test->answer;
}
if (deps[len])
free(dep);
deps += len;
deps += strspn(deps, " ");
}
}
outf = fopen(INPUT_FILE, verbose > 1 ? "w+" : "w");
if (!outf)
c12r_err(EXIT_TROUBLE_RUNNING, "creating %s", INPUT_FILE);
fprintf(outf, "%s", PRE_BOILERPLATE);
if (strstr(test->style, "INSIDE_MAIN")) {
fprintf(outf, "%s", MAIN_START_BOILERPLATE);
fprintf(outf, "%s", test->fragment);
fprintf(outf, "%s", MAIN_END_BOILERPLATE);
} else if (strstr(test->style, "OUTSIDE_MAIN")) {
fprintf(outf, "%s", test->fragment);
fprintf(outf, "%s", MAIN_START_BOILERPLATE);
fprintf(outf, "%s", MAIN_BODY_BOILERPLATE);
fprintf(outf, "%s", MAIN_END_BOILERPLATE);
} else if (strstr(test->style, "DEFINES_FUNC")) {
fprintf(outf, "%s", test->fragment);
fprintf(outf, "%s", MAIN_START_BOILERPLATE);
fprintf(outf, "%s", USE_FUNC_BOILERPLATE);
fprintf(outf, "%s", MAIN_BODY_BOILERPLATE);
fprintf(outf, "%s", MAIN_END_BOILERPLATE);
} else if (strstr(test->style, "DEFINES_EVERYTHING")) {
fprintf(outf, "%s", test->fragment);
} else
c12r_errx(EXIT_BAD_TEST, "Unknown style for test %s: %s",
test->name, test->style);
if (verbose > 1) {
fseek(outf, 0, SEEK_SET);
fcopy(outf, stdout);
}
fclose(outf);
newcmd = strdup(cmd);
if (test->flags) {
newcmd = realloc(newcmd, strlen(newcmd) + strlen(" ")
+ strlen(test->flags) + 1);
strcat(newcmd, " ");
strcat(newcmd, test->flags);
if (verbose > 1)
printf("Extra flags line: %s", newcmd);
}
if (test->link) {
newcmd = realloc(newcmd, strlen(newcmd) + strlen(" ")
+ strlen(test->link) + 1);
strcat(newcmd, " ");
strcat(newcmd, test->link);
if (verbose > 1)
printf("Extra link line: %s", newcmd);
}
start_test("checking for ", test->desc);
output = run(newcmd, &status);
free(newcmd);
if (status != 0 || strstr(output, "warning")) {
if (verbose)
printf("Compile %s for %s, status %i: %s\n",
status ? "fail" : "warning",
test->name, status, output);
if (strstr(test->style, "EXECUTE")
&& !strstr(test->style, "MAY_NOT_COMPILE"))
c12r_errx(EXIT_BAD_TEST,
"Test for %s did not compile:\n%s",
test->name, output);
test->answer = false;
free(output);
} else {
/* Compile succeeded. */
free(output);
/* We run INSIDE_MAIN tests for sanity checking. */
if (strstr(test->style, "EXECUTE")
|| strstr(test->style, "INSIDE_MAIN")) {
output = run("." DIR_SEP OUTPUT_FILE, &status);
if (!strstr(test->style, "EXECUTE") && status != 0)
c12r_errx(EXIT_BAD_TEST,
"Test for %s failed with %i:\n%s",
test->name, status, output);
if (verbose && status)
printf("%s exited %i\n", test->name, status);
free(output);
}
test->answer = (status == 0);
}
test->done = true;
end_test(test->answer);
if (test->answer && test->overrides) {
struct test *override = find_test(test->overrides);
override->done = true;
override->answer = true;
}
return test->answer;
}
static char *any_field(char **fieldname)
{
char buf[1000];
for (;;) {
char *p, *eq;
if (!fgets(buf, sizeof(buf), stdin))
return NULL;
p = buf;
/* Ignore whitespace, lines starting with # */
while (*p == ' ' || *p == '\t')
p++;
if (*p == '#' || *p == '\n')
continue;
eq = strchr(p, '=');
if (!eq)
c12r_errx(EXIT_BAD_INPUT, "no = in line: %s", p);
*eq = '\0';
*fieldname = strdup(p);
p = eq + 1;
if (strlen(p) && p[strlen(p)-1] == '\n')
p[strlen(p)-1] = '\0';
return strdup(p);
}
}
static char *read_field(const char *name, bool compulsory)
{
char *fieldname, *value;
value = any_field(&fieldname);
if (!value) {
if (!compulsory)
return NULL;
c12r_errx(EXIT_BAD_INPUT, "Could not read field %s", name);
}
if (strcmp(fieldname, name) != 0)
c12r_errx(EXIT_BAD_INPUT,
"Expected field %s not %s", name, fieldname);
return value;
}
/* Test descriptions from stdin:
* Lines starting with # or whitespace-only are ignored.
*
* First three non-ignored lines must be:
* var=<varname>
* desc=<description-for-autotools-style>
* style=OUTSIDE_MAIN DEFINES_FUNC INSIDE_MAIN DEFINES_EVERYTHING EXECUTE MAY_NOT_COMPILE
*
* Followed by optional lines:
* depends=<space-separated-testnames, ! to invert>
* link=<extra args for link line>
* flags=<extra args for compile line>
* overrides=<testname-to-force>
*
* Finally a code line, either:
* code=<oneline> OR
* code=
* <lines of code>
* <end-comment>
*
* And <end-comment> looks like this next comment: */
/*END*/
static bool read_test(struct test *test)
{
char *field, *value;
char buf[1000];
memset(test, 0, sizeof(*test));
test->name = read_field("var", false);
if (!test->name)
return false;
test->desc = read_field("desc", true);
test->style = read_field("style", true);
/* Read any optional fields. */
while ((value = any_field(&field)) != NULL) {
if (strcmp(field, "depends") == 0)
test->depends = value;
else if (strcmp(field, "link") == 0)
test->link = value;
else if (strcmp(field, "flags") == 0)
test->flags = value;
else if (strcmp(field, "overrides") == 0)
test->overrides = value;
else if (strcmp(field, "code") == 0)
break;
else
c12r_errx(EXIT_BAD_INPUT, "Unknown field %s in %s",
field, test->name);
}
if (!value)
c12r_errx(EXIT_BAD_INPUT, "Missing code in %s", test->name);
if (strlen(value) == 0) {
/* Multiline program, read to END comment */
while (fgets(buf, sizeof(buf), stdin) != 0) {
size_t n;
if (strncmp(buf, "/*END*/", 7) == 0)
break;
n = strlen(value);
value = realloc(value, n + strlen(buf) + 1);
strcpy(value + n, buf);
n += strlen(buf);
}
}
test->fragment = value;
return true;
}
static void read_tests(size_t num_tests)
{
while (read_test(tests + num_tests)) {
num_tests++;
tests = realloc(tests, (num_tests + 1) * sizeof(tests[0]));
tests[num_tests].name = NULL;
}
}
int main(int argc, const char *argv[])
{
char *cmd;
unsigned int i;
const char *default_args[]
= { "", DEFAULT_COMPILER, DEFAULT_FLAGS, NULL };
const char *outflag = DEFAULT_OUTPUT_EXE_FLAG;
const char *configurator_cc = NULL;
const char *orig_cc;
const char *varfile = NULL;
const char *headerfile = NULL;
bool extra_tests = false;
FILE *outf;
if (argc > 0)
progname = argv[0];
while (argc > 1) {
if (strcmp(argv[1], "--help") == 0) {
printf("Usage: configurator [-v] [--var-file=<filename>] [-O<outflag>] [--configurator-cc=<compiler-for-tests>] [--autotools-style] [--extra-tests] [<compiler> <flags>...]\n"
" <compiler> <flags> will have \"<outflag> <outfile> <infile.c>\" appended\n"
"Default: %s %s %s\n",
DEFAULT_COMPILER, DEFAULT_FLAGS,
DEFAULT_OUTPUT_EXE_FLAG);
exit(0);
}
if (strncmp(argv[1], "-O", 2) == 0) {
argc--;
argv++;
outflag = argv[1] + 2;
if (!*outflag) {
fprintf(stderr,
"%s: option requires an argument -- O\n",
argv[0]);
exit(EXIT_BAD_USAGE);
}
} else if (strcmp(argv[1], "-v") == 0) {
argc--;
argv++;
verbose++;
} else if (strcmp(argv[1], "-vv") == 0) {
argc--;
argv++;
verbose += 2;
} else if (strncmp(argv[1], "--configurator-cc=", 18) == 0) {
configurator_cc = argv[1] + 18;
argc--;
argv++;
} else if (strncmp(argv[1], "--var-file=", 11) == 0) {
varfile = argv[1] + 11;
argc--;
argv++;
} else if (strcmp(argv[1], "--autotools-style") == 0) {
like_a_libtool = true;
argc--;
argv++;
} else if (strncmp(argv[1], "--header-file=", 14) == 0) {
headerfile = argv[1] + 14;
argc--;
argv++;
} else if (strcmp(argv[1], "--extra-tests") == 0) {
extra_tests = true;
argc--;
argv++;
} else if (strcmp(argv[1], "--") == 0) {
break;
} else if (argv[1][0] == '-') {
c12r_errx(EXIT_BAD_USAGE, "Unknown option %s", argv[1]);
} else {
break;
}
}
if (argc == 1)
argv = default_args;
/* Copy with NULL entry at end */
tests = calloc(sizeof(base_tests)/sizeof(base_tests[0]) + 1,
sizeof(base_tests[0]));
memcpy(tests, base_tests, sizeof(base_tests));
if (extra_tests)
read_tests(sizeof(base_tests)/sizeof(base_tests[0]));
orig_cc = argv[1];
if (configurator_cc)
argv[1] = configurator_cc;
cmd = connect_args(argv, outflag, OUTPUT_FILE " " INPUT_FILE);
if (like_a_libtool) {
start_test("Making autoconf users comfortable", "");
sleep(1);
end_test(1);
}
for (i = 0; tests[i].name; i++)
run_test(cmd, &tests[i]);
free(cmd);
remove(OUTPUT_FILE);
remove(INPUT_FILE);
if (varfile) {
FILE *vars;
if (strcmp(varfile, "-") == 0)
vars = stdout;
else {
start_test("Writing variables to ", varfile);
vars = fopen(varfile, "a");
if (!vars)
c12r_err(EXIT_TROUBLE_RUNNING,
"Could not open %s", varfile);
}
for (i = 0; tests[i].name; i++)
fprintf(vars, "%s=%u\n", tests[i].name, tests[i].answer);
if (vars != stdout) {
if (fclose(vars) != 0)
c12r_err(EXIT_TROUBLE_RUNNING,
"Closing %s", varfile);
end_test(1);
}
}
if (headerfile) {
start_test("Writing header to ", headerfile);
outf = fopen(headerfile, "w");
if (!outf)
c12r_err(EXIT_TROUBLE_RUNNING,
"Could not open %s", headerfile);
} else
outf = stdout;
fprintf(outf, "/* Generated by CCAN configurator */\n"
"#ifndef CCAN_CONFIG_H\n"
"#define CCAN_CONFIG_H\n");
fprintf(outf, "#ifndef _GNU_SOURCE\n");
fprintf(outf, "#define _GNU_SOURCE /* Always use GNU extensions. */\n");
fprintf(outf, "#endif\n");
fprintf(outf, "#define CCAN_COMPILER \"%s\"\n", orig_cc);
cmd = connect_args(argv + 1, "", "");
fprintf(outf, "#define CCAN_CFLAGS \"%s\"\n", cmd);
free(cmd);
fprintf(outf, "#define CCAN_OUTPUT_EXE_CFLAG \"%s\"\n\n", outflag);
/* This one implies "#include <ccan/..." works, eg. for tdb2.h */
fprintf(outf, "#define HAVE_CCAN 1\n");
for (i = 0; tests[i].name; i++)
fprintf(outf, "#define %s %u\n", tests[i].name, tests[i].answer);
fprintf(outf, "#endif /* CCAN_CONFIG_H */\n");
if (headerfile) {
if (fclose(outf) != 0)
c12r_err(EXIT_TROUBLE_RUNNING, "Closing %s", headerfile);
end_test(1);
}
return 0;
}
|
common.h | #ifndef LIGHTGBM_UTILS_COMMON_FUN_H_
#define LIGHTGBM_UTILS_COMMON_FUN_H_
#include <LightGBM/utils/log.h>
#include <LightGBM/utils/openmp_wrapper.h>
#include <cstdio>
#include <string>
#include <vector>
#include <sstream>
#include <cstdint>
#include <algorithm>
#include <cmath>
#include <functional>
#include <memory>
#include <iterator>
#include <type_traits>
#include <iomanip>
#ifdef _MSC_VER
#include "intrin.h"
#endif
namespace LightGBM {
namespace Common {
inline static char tolower(char in) {
if (in <= 'Z' && in >= 'A')
return in - ('Z' - 'z');
return in;
}
inline static std::string Trim(std::string str) {
if (str.empty()) {
return str;
}
str.erase(str.find_last_not_of(" \f\n\r\t\v") + 1);
str.erase(0, str.find_first_not_of(" \f\n\r\t\v"));
return str;
}
inline static std::string RemoveQuotationSymbol(std::string str) {
if (str.empty()) {
return str;
}
str.erase(str.find_last_not_of("'\"") + 1);
str.erase(0, str.find_first_not_of("'\""));
return str;
}
inline static bool StartsWith(const std::string& str, const std::string prefix) {
if (str.substr(0, prefix.size()) == prefix) {
return true;
} else {
return false;
}
}
inline static std::vector<std::string> Split(const char* c_str, char delimiter) {
std::vector<std::string> ret;
std::string str(c_str);
size_t i = 0;
size_t pos = 0;
while (pos < str.length()) {
if (str[pos] == delimiter) {
if (i < pos) {
ret.push_back(str.substr(i, pos - i));
}
++pos;
i = pos;
} else {
++pos;
}
}
if (i < pos) {
ret.push_back(str.substr(i));
}
return ret;
}
inline static std::vector<std::string> SplitLines(const char* c_str) {
std::vector<std::string> ret;
std::string str(c_str);
size_t i = 0;
size_t pos = 0;
while (pos < str.length()) {
if (str[pos] == '\n' || str[pos] == '\r') {
if (i < pos) {
ret.push_back(str.substr(i, pos - i));
}
// skip the line endings
while (str[pos] == '\n' || str[pos] == '\r') ++pos;
// new begin
i = pos;
} else {
++pos;
}
}
if (i < pos) {
ret.push_back(str.substr(i));
}
return ret;
}
inline static std::vector<std::string> Split(const char* c_str, const char* delimiters) {
std::vector<std::string> ret;
std::string str(c_str);
size_t i = 0;
size_t pos = 0;
while (pos < str.length()) {
bool met_delimiters = false;
for (int j = 0; delimiters[j] != '\0'; ++j) {
if (str[pos] == delimiters[j]) {
met_delimiters = true;
break;
}
}
if (met_delimiters) {
if (i < pos) {
ret.push_back(str.substr(i, pos - i));
}
++pos;
i = pos;
} else {
++pos;
}
}
if (i < pos) {
ret.push_back(str.substr(i));
}
return ret;
}
template<typename T>
inline static const char* Atoi(const char* p, T* out) {
int sign;
T value;
while (*p == ' ') {
++p;
}
sign = 1;
if (*p == '-') {
sign = -1;
++p;
} else if (*p == '+') {
++p;
}
for (value = 0; *p >= '0' && *p <= '9'; ++p) {
value = value * 10 + (*p - '0');
}
*out = static_cast<T>(sign * value);
while (*p == ' ') {
++p;
}
return p;
}
template<typename T>
inline static double Pow(T base, int power) {
if (power < 0) {
return 1.0 / Pow(base, -power);
} else if (power == 0) {
return 1;
} else if (power % 2 == 0) {
return Pow(base*base, power / 2);
} else if (power % 3 == 0) {
return Pow(base*base*base, power / 3);
} else {
return base * Pow(base, power - 1);
}
}
inline static const char* Atof(const char* p, double* out) {
int frac;
double sign, value, scale;
*out = NAN;
// Skip leading white space, if any.
while (*p == ' ') {
++p;
}
// Get sign, if any.
sign = 1.0;
if (*p == '-') {
sign = -1.0;
++p;
} else if (*p == '+') {
++p;
}
// is a number
if ((*p >= '0' && *p <= '9') || *p == '.' || *p == 'e' || *p == 'E') {
// Get digits before decimal point or exponent, if any.
for (value = 0.0; *p >= '0' && *p <= '9'; ++p) {
value = value * 10.0 + (*p - '0');
}
// Get digits after decimal point, if any.
if (*p == '.') {
double right = 0.0;
int nn = 0;
++p;
while (*p >= '0' && *p <= '9') {
right = (*p - '0') + right * 10.0;
++nn;
++p;
}
value += right / Pow(10.0, nn);
}
// Handle exponent, if any.
frac = 0;
scale = 1.0;
if ((*p == 'e') || (*p == 'E')) {
uint32_t expon;
// Get sign of exponent, if any.
++p;
if (*p == '-') {
frac = 1;
++p;
} else if (*p == '+') {
++p;
}
// Get digits of exponent, if any.
for (expon = 0; *p >= '0' && *p <= '9'; ++p) {
expon = expon * 10 + (*p - '0');
}
if (expon > 308) expon = 308;
// Calculate scaling factor.
while (expon >= 50) { scale *= 1E50; expon -= 50; }
while (expon >= 8) { scale *= 1E8; expon -= 8; }
while (expon > 0) { scale *= 10.0; expon -= 1; }
}
// Return signed and scaled floating point result.
*out = sign * (frac ? (value / scale) : (value * scale));
} else {
size_t cnt = 0;
while (*(p + cnt) != '\0' && *(p + cnt) != ' '
&& *(p + cnt) != '\t' && *(p + cnt) != ','
&& *(p + cnt) != '\n' && *(p + cnt) != '\r'
&& *(p + cnt) != ':') {
++cnt;
}
if (cnt > 0) {
std::string tmp_str(p, cnt);
std::transform(tmp_str.begin(), tmp_str.end(), tmp_str.begin(), Common::tolower);
if (tmp_str == std::string("na") || tmp_str == std::string("nan") ||
tmp_str == std::string("null")) {
*out = NAN;
} else if (tmp_str == std::string("inf") || tmp_str == std::string("infinity")) {
*out = sign * 1e308;
} else {
Log::Fatal("Unknown token %s in data file", tmp_str.c_str());
}
p += cnt;
}
}
while (*p == ' ') {
++p;
}
return p;
}
inline static bool AtoiAndCheck(const char* p, int* out) {
const char* after = Atoi(p, out);
if (*after != '\0') {
return false;
}
return true;
}
inline static bool AtofAndCheck(const char* p, double* out) {
const char* after = Atof(p, out);
if (*after != '\0') {
return false;
}
return true;
}
inline static unsigned CountDecimalDigit32(uint32_t n) {
#if defined(_MSC_VER) || defined(__GNUC__)
static const uint32_t powers_of_10[] = {
0,
10,
100,
1000,
10000,
100000,
1000000,
10000000,
100000000,
1000000000
};
#ifdef _MSC_VER
unsigned long i = 0;
_BitScanReverse(&i, n | 1);
uint32_t t = (i + 1) * 1233 >> 12;
#elif __GNUC__
uint32_t t = (32 - __builtin_clz(n | 1)) * 1233 >> 12;
#endif
return t - (n < powers_of_10[t]) + 1;
#else
if (n < 10) return 1;
if (n < 100) return 2;
if (n < 1000) return 3;
if (n < 10000) return 4;
if (n < 100000) return 5;
if (n < 1000000) return 6;
if (n < 10000000) return 7;
if (n < 100000000) return 8;
if (n < 1000000000) return 9;
return 10;
#endif
}
inline static void Uint32ToStr(uint32_t value, char* buffer) {
const char kDigitsLut[200] = {
'0','0','0','1','0','2','0','3','0','4','0','5','0','6','0','7','0','8','0','9',
'1','0','1','1','1','2','1','3','1','4','1','5','1','6','1','7','1','8','1','9',
'2','0','2','1','2','2','2','3','2','4','2','5','2','6','2','7','2','8','2','9',
'3','0','3','1','3','2','3','3','3','4','3','5','3','6','3','7','3','8','3','9',
'4','0','4','1','4','2','4','3','4','4','4','5','4','6','4','7','4','8','4','9',
'5','0','5','1','5','2','5','3','5','4','5','5','5','6','5','7','5','8','5','9',
'6','0','6','1','6','2','6','3','6','4','6','5','6','6','6','7','6','8','6','9',
'7','0','7','1','7','2','7','3','7','4','7','5','7','6','7','7','7','8','7','9',
'8','0','8','1','8','2','8','3','8','4','8','5','8','6','8','7','8','8','8','9',
'9','0','9','1','9','2','9','3','9','4','9','5','9','6','9','7','9','8','9','9'
};
unsigned digit = CountDecimalDigit32(value);
buffer += digit;
*buffer = '\0';
while (value >= 100) {
const unsigned i = (value % 100) << 1;
value /= 100;
*--buffer = kDigitsLut[i + 1];
*--buffer = kDigitsLut[i];
}
if (value < 10) {
*--buffer = char(value) + '0';
}
else {
const unsigned i = value << 1;
*--buffer = kDigitsLut[i + 1];
*--buffer = kDigitsLut[i];
}
}
inline static void Int32ToStr(int32_t value, char* buffer) {
uint32_t u = static_cast<uint32_t>(value);
if (value < 0) {
*buffer++ = '-';
u = ~u + 1;
}
Uint32ToStr(u, buffer);
}
inline static void DoubleToStr(double value, char* buffer, size_t
#ifdef _MSC_VER
buffer_len
#endif
) {
#ifdef _MSC_VER
sprintf_s(buffer, buffer_len, "%.17g", value);
#else
sprintf(buffer, "%.17g", value);
#endif
}
inline static const char* SkipSpaceAndTab(const char* p) {
while (*p == ' ' || *p == '\t') {
++p;
}
return p;
}
inline static const char* SkipReturn(const char* p) {
while (*p == '\n' || *p == '\r' || *p == ' ') {
++p;
}
return p;
}
template<typename T, typename T2>
inline static std::vector<T2> ArrayCast(const std::vector<T>& arr) {
std::vector<T2> ret(arr.size());
for (size_t i = 0; i < arr.size(); ++i) {
ret[i] = static_cast<T2>(arr[i]);
}
return ret;
}
template<typename T, bool is_float, bool is_unsign>
struct __TToStringHelperFast {
void operator()(T value, char* buffer, size_t ) const {
Int32ToStr(value, buffer);
}
};
template<typename T>
struct __TToStringHelperFast<T, true, false> {
void operator()(T value, char* buffer, size_t
#ifdef _MSC_VER
buf_len
#endif
) const {
#ifdef _MSC_VER
sprintf_s(buffer, buf_len, "%g", value);
#else
sprintf(buffer, "%g", value);
#endif
}
};
template<typename T>
struct __TToStringHelperFast<T, false, true> {
void operator()(T value, char* buffer, size_t ) const {
Uint32ToStr(value, buffer);
}
};
template<typename T>
inline static std::string ArrayToStringFast(const std::vector<T>& arr, size_t n) {
if (arr.empty() || n == 0) {
return std::string("");
}
__TToStringHelperFast<T, std::is_floating_point<T>::value, std::is_unsigned<T>::value> helper;
const size_t buf_len = 16;
std::vector<char> buffer(buf_len);
std::stringstream str_buf;
helper(arr[0], buffer.data(), buf_len);
str_buf << buffer.data();
for (size_t i = 1; i < std::min(n, arr.size()); ++i) {
helper(arr[i], buffer.data(), buf_len);
str_buf << ' ' << buffer.data();
}
return str_buf.str();
}
inline static std::string ArrayToString(const std::vector<double>& arr, size_t n) {
if (arr.empty() || n == 0) {
return std::string("");
}
const size_t buf_len = 32;
std::vector<char> buffer(buf_len);
std::stringstream str_buf;
DoubleToStr(arr[0], buffer.data(), buf_len);
str_buf << buffer.data();
for (size_t i = 1; i < std::min(n, arr.size()); ++i) {
DoubleToStr(arr[i], buffer.data(), buf_len);
str_buf << ' ' << buffer.data();
}
return str_buf.str();
}
template<typename T, bool is_float>
struct __StringToTHelper {
T operator()(const std::string& str) const {
T ret = 0;
Atoi(str.c_str(), &ret);
return ret;
}
};
template<typename T>
struct __StringToTHelper<T, true> {
T operator()(const std::string& str) const {
return static_cast<T>(std::stod(str));
}
};
template<typename T>
inline static std::vector<T> StringToArray(const std::string& str, char delimiter) {
std::vector<std::string> strs = Split(str.c_str(), delimiter);
std::vector<T> ret;
ret.reserve(strs.size());
__StringToTHelper<T, std::is_floating_point<T>::value> helper;
for (const auto& s : strs) {
ret.push_back(helper(s));
}
return ret;
}
template<typename T>
inline static std::vector<T> StringToArray(const std::string& str, int n) {
if (n == 0) {
return std::vector<T>();
}
std::vector<std::string> strs = Split(str.c_str(), ' ');
CHECK(strs.size() == static_cast<size_t>(n));
std::vector<T> ret;
ret.reserve(strs.size());
__StringToTHelper<T, std::is_floating_point<T>::value> helper;
for (const auto& s : strs) {
ret.push_back(helper(s));
}
return ret;
}
template<typename T, bool is_float>
struct __StringToTHelperFast {
const char* operator()(const char*p, T* out) const {
return Atoi(p, out);
}
};
template<typename T>
struct __StringToTHelperFast<T, true> {
const char* operator()(const char*p, T* out) const {
double tmp = 0.0f;
auto ret = Atof(p, &tmp);
*out= static_cast<T>(tmp);
return ret;
}
};
template<typename T>
inline static std::vector<T> StringToArrayFast(const std::string& str, int n) {
if (n == 0) {
return std::vector<T>();
}
auto p_str = str.c_str();
__StringToTHelperFast<T, std::is_floating_point<T>::value> helper;
std::vector<T> ret(n);
for (int i = 0; i < n; ++i) {
p_str = helper(p_str, &ret[i]);
}
return ret;
}
template<typename T>
inline static std::string Join(const std::vector<T>& strs, const char* delimiter) {
if (strs.empty()) {
return std::string("");
}
std::stringstream str_buf;
str_buf << std::setprecision(std::numeric_limits<double>::digits10 + 2);
str_buf << strs[0];
for (size_t i = 1; i < strs.size(); ++i) {
str_buf << delimiter;
str_buf << strs[i];
}
return str_buf.str();
}
template<typename T>
inline static std::string Join(const std::vector<T>& strs, size_t start, size_t end, const char* delimiter) {
if (end - start <= 0) {
return std::string("");
}
start = std::min(start, static_cast<size_t>(strs.size()) - 1);
end = std::min(end, static_cast<size_t>(strs.size()));
std::stringstream str_buf;
str_buf << std::setprecision(std::numeric_limits<double>::digits10 + 2);
str_buf << strs[start];
for (size_t i = start + 1; i < end; ++i) {
str_buf << delimiter;
str_buf << strs[i];
}
return str_buf.str();
}
inline static int64_t Pow2RoundUp(int64_t x) {
int64_t t = 1;
for (int i = 0; i < 64; ++i) {
if (t >= x) {
return t;
}
t <<= 1;
}
return 0;
}
/*!
* \brief Do inplace softmax transformaton on p_rec
* \param p_rec The input/output vector of the values.
*/
inline static void Softmax(std::vector<double>* p_rec) {
std::vector<double> &rec = *p_rec;
double wmax = rec[0];
for (size_t i = 1; i < rec.size(); ++i) {
wmax = std::max(rec[i], wmax);
}
double wsum = 0.0f;
for (size_t i = 0; i < rec.size(); ++i) {
rec[i] = std::exp(rec[i] - wmax);
wsum += rec[i];
}
for (size_t i = 0; i < rec.size(); ++i) {
rec[i] /= static_cast<double>(wsum);
}
}
inline static void Softmax(const double* input, double* output, int len) {
double wmax = input[0];
for (int i = 1; i < len; ++i) {
wmax = std::max(input[i], wmax);
}
double wsum = 0.0f;
for (int i = 0; i < len; ++i) {
output[i] = std::exp(input[i] - wmax);
wsum += output[i];
}
for (int i = 0; i < len; ++i) {
output[i] /= static_cast<double>(wsum);
}
}
template<typename T>
std::vector<const T*> ConstPtrInVectorWrapper(const std::vector<std::unique_ptr<T>>& input) {
std::vector<const T*> ret;
for (size_t i = 0; i < input.size(); ++i) {
ret.push_back(input.at(i).get());
}
return ret;
}
template<typename T1, typename T2>
inline static void SortForPair(std::vector<T1>& keys, std::vector<T2>& values, size_t start, bool is_reverse = false) {
std::vector<std::pair<T1, T2>> arr;
for (size_t i = start; i < keys.size(); ++i) {
arr.emplace_back(keys[i], values[i]);
}
if (!is_reverse) {
std::sort(arr.begin(), arr.end(), [](const std::pair<T1, T2>& a, const std::pair<T1, T2>& b) {
return a.first < b.first;
});
} else {
std::sort(arr.begin(), arr.end(), [](const std::pair<T1, T2>& a, const std::pair<T1, T2>& b) {
return a.first > b.first;
});
}
for (size_t i = start; i < arr.size(); ++i) {
keys[i] = arr[i].first;
values[i] = arr[i].second;
}
}
/*
* approximate hessians of absolute loss with Gaussian function
* cf. https://en.wikipedia.org/wiki/Gaussian_function
*
* y is a prediction.
* t means true target.
* g means gradient.
* eta is a parameter to control the width of Gaussian function.
* w means weights.
*/
inline static double ApproximateHessianWithGaussian(const double y, const double t, const double g,
const double eta, const double w=1.0f) {
const double diff = y - t;
const double pi = 4.0 * std::atan(1.0);
const double x = std::fabs(diff);
const double a = 2.0 * std::fabs(g) * w; // difference of two first derivatives, (zero to inf) and (zero to -inf).
const double b = 0.0;
const double c = std::max((std::fabs(y) + std::fabs(t)) * eta, 1.0e-10);
return w * std::exp(-(x - b) * (x - b) / (2.0 * c * c)) * a / (c * std::sqrt(2 * pi));
}
template <typename T>
inline static std::vector<T*> Vector2Ptr(std::vector<std::vector<T>>& data) {
std::vector<T*> ptr(data.size());
for (size_t i = 0; i < data.size(); ++i) {
ptr[i] = data[i].data();
}
return ptr;
}
template <typename T>
inline static std::vector<int> VectorSize(const std::vector<std::vector<T>>& data) {
std::vector<int> ret(data.size());
for (size_t i = 0; i < data.size(); ++i) {
ret[i] = static_cast<int>(data[i].size());
}
return ret;
}
inline static double AvoidInf(double x) {
if (x >= 1e300) {
return 1e300;
} else if(x <= -1e300) {
return -1e300;
} else {
return x;
}
}
inline static float AvoidInf(float x) {
if (x >= 1e38) {
return 1e38f;
} else if (x <= -1e38) {
return -1e38f;
} else {
return x;
}
}
template<typename _Iter> inline
static typename std::iterator_traits<_Iter>::value_type* IteratorValType(_Iter) {
return (0);
}
template<typename _RanIt, typename _Pr, typename _VTRanIt> inline
static void ParallelSort(_RanIt _First, _RanIt _Last, _Pr _Pred, _VTRanIt*) {
size_t len = _Last - _First;
const size_t kMinInnerLen = 1024;
int num_threads = 1;
#pragma omp parallel
#pragma omp master
{
num_threads = omp_get_num_threads();
}
if (len <= kMinInnerLen || num_threads <= 1) {
std::sort(_First, _Last, _Pred);
return;
}
size_t inner_size = (len + num_threads - 1) / num_threads;
inner_size = std::max(inner_size, kMinInnerLen);
num_threads = static_cast<int>((len + inner_size - 1) / inner_size);
#pragma omp parallel for schedule(static,1)
for (int i = 0; i < num_threads; ++i) {
size_t left = inner_size*i;
size_t right = left + inner_size;
right = std::min(right, len);
if (right > left) {
std::sort(_First + left, _First + right, _Pred);
}
}
// Buffer for merge.
std::vector<_VTRanIt> temp_buf(len);
_RanIt buf = temp_buf.begin();
size_t s = inner_size;
// Recursive merge
while (s < len) {
int loop_size = static_cast<int>((len + s * 2 - 1) / (s * 2));
#pragma omp parallel for schedule(static,1)
for (int i = 0; i < loop_size; ++i) {
size_t left = i * 2 * s;
size_t mid = left + s;
size_t right = mid + s;
right = std::min(len, right);
if (mid >= right) { continue; }
std::copy(_First + left, _First + mid, buf + left);
std::merge(buf + left, buf + mid, _First + mid, _First + right, _First + left, _Pred);
}
s *= 2;
}
}
template<typename _RanIt, typename _Pr> inline
static void ParallelSort(_RanIt _First, _RanIt _Last, _Pr _Pred) {
return ParallelSort(_First, _Last, _Pred, IteratorValType(_First));
}
// Check that all y[] are in interval [ymin, ymax] (end points included); throws error if not
template <typename T>
inline static void CheckElementsIntervalClosed(const T *y, T ymin, T ymax, int ny, const char *callername) {
auto fatal_msg = [&y, &ymin, &ymax, &callername](int i) {
std::ostringstream os;
os << "[%s]: does not tolerate element [#%i = " << y[i] << "] outside [" << ymin << ", " << ymax << "]";
Log::Fatal(os.str().c_str(), callername, i);
};
for (int i = 1; i < ny; i += 2) {
if (y[i - 1] < y[i]) {
if (y[i - 1] < ymin) {
fatal_msg(i - 1);
} else if (y[i] > ymax) {
fatal_msg(i);
}
} else {
if (y[i - 1] > ymax) {
fatal_msg(i - 1);
} else if (y[i] < ymin) {
fatal_msg(i);
}
}
}
if (ny & 1) { // odd
if (y[ny - 1] < ymin || y[ny - 1] > ymax) {
fatal_msg(ny - 1);
}
}
}
// One-pass scan over array w with nw elements: find min, max and sum of elements;
// this is useful for checking weight requirements.
template <typename T1, typename T2>
inline static void ObtainMinMaxSum(const T1 *w, int nw, T1 *mi, T1 *ma, T2 *su) {
T1 minw;
T1 maxw;
T1 sumw;
int i;
if (nw & 1) { // odd
minw = w[0];
maxw = w[0];
sumw = w[0];
i = 2;
} else { // even
if (w[0] < w[1]) {
minw = w[0];
maxw = w[1];
} else {
minw = w[1];
maxw = w[0];
}
sumw = w[0] + w[1];
i = 3;
}
for (; i < nw; i += 2) {
if (w[i - 1] < w[i]) {
minw = std::min(minw, w[i - 1]);
maxw = std::max(maxw, w[i]);
} else {
minw = std::min(minw, w[i]);
maxw = std::max(maxw, w[i - 1]);
}
sumw += w[i - 1] + w[i];
}
if (mi != nullptr) {
*mi = minw;
}
if (ma != nullptr) {
*ma = maxw;
}
if (su != nullptr) {
*su = static_cast<T2>(sumw);
}
}
template<typename T>
inline static std::vector<uint32_t> ConstructBitset(const T* vals, int n) {
std::vector<uint32_t> ret;
for (int i = 0; i < n; ++i) {
int i1 = vals[i] / 32;
int i2 = vals[i] % 32;
if (static_cast<int>(ret.size()) < i1 + 1) {
ret.resize(i1 + 1, 0);
}
ret[i1] |= (1 << i2);
}
return ret;
}
template<typename T>
inline static bool FindInBitset(const uint32_t* bits, int n, T pos) {
int i1 = pos / 32;
if (i1 >= n) {
return false;
}
int i2 = pos % 32;
return (bits[i1] >> i2) & 1;
}
inline static bool CheckDoubleEqualOrdered(double a, double b) {
double upper = std::nextafter(a, INFINITY);
return b <= upper;
}
inline static double GetDoubleUpperBound(double a) {
return std::nextafter(a, INFINITY);;
}
inline static size_t GetLine(const char* str) {
auto start = str;
while (*str != '\0' && *str != '\n' && *str != '\r') {
++str;
}
return str - start;
}
inline static const char* SkipNewLine(const char* str) {
if (*str == '\r') {
++str;
}
if (*str == '\n') {
++str;
}
return str;
}
} // namespace Common
} // namespace LightGBM
#endif // LightGBM_UTILS_COMMON_FUN_H_
|
kmeans.c | /*
** © 2011-2016 by Kornel Lesiński.
** See COPYRIGHT file for license.
*/
#include "libimagequant.h"
#include "pam.h"
#include "kmeans.h"
#include "nearest.h"
#include <stdlib.h>
#include <string.h>
#ifdef _OPENMP
#include <omp.h>
#else
#define omp_get_max_threads() 1
#define omp_get_thread_num() 0
#endif
/*
* K-Means iteration: new palette color is computed from weighted average of colors that map to that palette entry.
*/
LIQ_PRIVATE void kmeans_init(const colormap *map, const unsigned int max_threads, kmeans_state average_color[])
{
memset(average_color, 0, sizeof(average_color[0])*(KMEANS_CACHE_LINE_GAP+map->colors)*max_threads);
}
LIQ_PRIVATE void kmeans_update_color(const f_pixel acolor, const float value, const colormap *map, unsigned int match, const unsigned int thread, kmeans_state average_color[])
{
match += thread * (KMEANS_CACHE_LINE_GAP+map->colors);
average_color[match].a += acolor.a * value;
average_color[match].r += acolor.r * value;
average_color[match].g += acolor.g * value;
average_color[match].b += acolor.b * value;
average_color[match].total += value;
}
LIQ_PRIVATE void kmeans_finalize(colormap *map, const unsigned int max_threads, const kmeans_state average_color[])
{
for (unsigned int i=0; i < map->colors; i++) {
double a=0, r=0, g=0, b=0, total=0;
// Aggregate results from all threads
for(unsigned int t=0; t < max_threads; t++) {
const unsigned int offset = (KMEANS_CACHE_LINE_GAP+map->colors) * t + i;
a += average_color[offset].a;
r += average_color[offset].r;
g += average_color[offset].g;
b += average_color[offset].b;
total += average_color[offset].total;
}
if (total && !map->palette[i].fixed) {
map->palette[i].acolor = (f_pixel){
.a = a / total,
.r = r / total,
.g = g / total,
.b = b / total,
};
map->palette[i].popularity = total;
}
}
}
LIQ_PRIVATE double kmeans_do_iteration(histogram *hist, colormap *const map, kmeans_callback callback)
{
const unsigned int max_threads = omp_get_max_threads();
LIQ_ARRAY(kmeans_state, average_color, (KMEANS_CACHE_LINE_GAP+map->colors) * max_threads);
kmeans_init(map, max_threads, average_color);
struct nearest_map *const n = nearest_init(map);
hist_item *const achv = hist->achv;
const int hist_size = hist->size;
double total_diff=0;
#pragma omp parallel for if (hist_size > 2000) \
schedule(static) default(none) shared(average_color,callback) reduction(+:total_diff)
for(int j=0; j < hist_size; j++) {
float diff;
unsigned int match = nearest_search(n, &achv[j].acolor, achv[j].tmp.likely_colormap_index, &diff);
achv[j].tmp.likely_colormap_index = match;
total_diff += diff * achv[j].perceptual_weight;
kmeans_update_color(achv[j].acolor, achv[j].perceptual_weight, map, match, omp_get_thread_num(), average_color);
if (callback) callback(&achv[j], diff);
}
nearest_free(n);
kmeans_finalize(map, max_threads, average_color);
return total_diff / hist->total_perceptual_weight;
}
|
GB_binop__min_uint32.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__min_uint32)
// A.*B function (eWiseMult): GB (_AemultB_08__min_uint32)
// A.*B function (eWiseMult): GB (_AemultB_02__min_uint32)
// A.*B function (eWiseMult): GB (_AemultB_04__min_uint32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__min_uint32)
// A*D function (colscale): GB (_AxD__min_uint32)
// D*A function (rowscale): GB (_DxB__min_uint32)
// C+=B function (dense accum): GB (_Cdense_accumB__min_uint32)
// C+=b function (dense accum): GB (_Cdense_accumb__min_uint32)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__min_uint32)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__min_uint32)
// C=scalar+B GB (_bind1st__min_uint32)
// C=scalar+B' GB (_bind1st_tran__min_uint32)
// C=A+scalar GB (_bind2nd__min_uint32)
// C=A'+scalar GB (_bind2nd_tran__min_uint32)
// C type: uint32_t
// A type: uint32_t
// B,b type: uint32_t
// BinaryOp: cij = GB_IMIN (aij, bij)
#define GB_ATYPE \
uint32_t
#define GB_BTYPE \
uint32_t
#define GB_CTYPE \
uint32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint32_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint32_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint32_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_IMIN (x, y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MIN || GxB_NO_UINT32 || GxB_NO_MIN_UINT32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__min_uint32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint32_t
uint32_t bwork = (*((uint32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *restrict Cx = (uint32_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *restrict Cx = (uint32_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__min_uint32)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__min_uint32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__min_uint32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__min_uint32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t x = (*((uint32_t *) x_input)) ;
uint32_t *Bx = (uint32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint32_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_IMIN (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__min_uint32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint32_t *Cx = (uint32_t *) Cx_output ;
uint32_t *Ax = (uint32_t *) Ax_input ;
uint32_t y = (*((uint32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint32_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_IMIN (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IMIN (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__min_uint32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t x = (*((const uint32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IMIN (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__min_uint32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint32_t y = (*((const uint32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
ab-totient-omp-7.c | // Distributed and parallel technologies, Andrew Beveridge, 03/03/2014
// To Compile: gcc -Wall -O -o ab-totient-omp -fopenmp ab-totient-omp.c
// To Run / Time: /usr/bin/time -v ./ab-totient-omp range_start range_end
#include <stdio.h>
#include <omp.h>
/* When input is a prime number, the totient is simply the prime number - 1. Totient is always even (except for 1).
If n is a positive integer, then φ(n) is the number of integers k in the range 1 ≤ k ≤ n for which gcd(n, k) = 1 */
long getTotient (long number) {
long result = number;
// Check every prime number below the square root for divisibility
if(number % 2 == 0){
result -= result / 2;
do
number /= 2;
while(number %2 == 0);
}
// Primitive replacement for a list of primes, looping through every odd number
long prime;
for(prime = 3; prime * prime <= number; prime += 2){
if(number %prime == 0){
result -= result / prime;
do
number /= prime;
while(number % prime == 0);
}
}
// Last common factor
if(number > 1)
result -= result / number;
// Return the result.
return result;
}
// Main method.
int main(int argc, char ** argv) {
// Load inputs
long lower, upper;
sscanf(argv[1], "%ld", &lower);
sscanf(argv[2], "%ld", &upper);
int i;
long result = 0.0;
// We know the answer if it's 1; no need to execute the function
if(lower == 1) {
result = 1.0;
lower = 2;
}
#pragma omp parallel for default(shared) private(i) schedule(auto) reduction(+:result) num_threads(7)
// Sum all totients in the specified range
for (i = lower; i <= upper; i++) {
result = result + getTotient(i);
}
// Print the result
printf("Sum of Totients between [%ld..%ld] is %ld \n", lower, upper, result);
// A-OK!
return 0;
}
|
solving_strategy.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ `
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Riccardo Rossi
//
//
#if !defined(KRATOS_SOLVING_STRATEGY )
#define KRATOS_SOLVING_STRATEGY
/* System includes */
/* External includes */
/* Project includes */
#include "includes/define.h"
#include "includes/model_part.h"
#include "solving_strategies/schemes/scheme.h"
#include "solving_strategies/builder_and_solvers/builder_and_solver.h"
namespace Kratos
{
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
/** @brief Solving strategy base class
* @details This is the base class from which we will derive all the strategies (line-search, NR, etc...)
*/
template<class TSparseSpace,
class TDenseSpace,
class TLinearSolver //= LinearSolver<TSparseSpace,TDenseSpace>
>
class SolvingStrategy
{
public:
///@name Type Definitions
///@{
// typedef std::set<Dof::Pointer,ComparePDof> DofSetType;
typedef typename TSparseSpace::DataType TDataType;
typedef typename TSparseSpace::MatrixType TSystemMatrixType;
typedef typename TSparseSpace::VectorType TSystemVectorType;
typedef typename TSparseSpace::MatrixPointerType TSystemMatrixPointerType;
typedef typename TSparseSpace::VectorPointerType TSystemVectorPointerType;
typedef typename TDenseSpace::MatrixType LocalSystemMatrixType;
typedef typename TDenseSpace::VectorType LocalSystemVectorType;
typedef Scheme<TSparseSpace, TDenseSpace> TSchemeType;
typedef BuilderAndSolver<TSparseSpace, TDenseSpace, TLinearSolver> TBuilderAndSolverType;
typedef typename ModelPart::DofType TDofType;
typedef typename ModelPart::DofsArrayType DofsArrayType;
// typedef Dof<TDataType> TDofType;
// typedef PointerVectorSet<TDofType, IdentityFunction<TDofType> > DofsArrayType;
// typedef PointerVectorSet<TDofType, IndexedObject> DofsArrayType;
typedef typename DofsArrayType::iterator DofIteratorType;
typedef typename DofsArrayType::const_iterator DofConstantIteratorType;
typedef ModelPart::NodesContainerType NodesArrayType;
typedef ModelPart::ElementsContainerType ElementsArrayType;
typedef ModelPart::ConditionsContainerType ConditionsArrayType;
/** Counted pointer of ClassName */
KRATOS_CLASS_POINTER_DEFINITION(SolvingStrategy);
///@}
///@name Life Cycle
///@{
/**
* @brief Default constructor. (with parameters)
* @param rModelPart The model part of the problem
* @param ThisParameters The configuration parameters
*/
explicit SolvingStrategy(ModelPart& rModelPart, Parameters ThisParameters)
: mrModelPart(rModelPart)
{
const bool move_mesh_flag = ThisParameters.Has("move_mesh_flag") ? ThisParameters["move_mesh_flag"].GetBool() : false;
SetMoveMeshFlag(move_mesh_flag);
}
/**
* @brief Default constructor.
* @param rModelPart The model part to be computed
* @param MoveMeshFlag The flag to set if the mesh is moved or not
*/
explicit SolvingStrategy(
ModelPart& rModelPart,
bool MoveMeshFlag = false
) : mrModelPart(rModelPart)
{
SetMoveMeshFlag(MoveMeshFlag);
}
/** Destructor.
*/
virtual ~SolvingStrategy(){}
///@}
///@name Operators
///@{
///@}
///@name Operations
///@{
/**
* @brief Operation to predict the solution ... if it is not called a trivial predictor is used in which the
* values of the solution step of interest are assumed equal to the old values
*/
virtual void Predict()
{
}
/**
* @brief Initialization of member variables and prior operations
*/
virtual void Initialize()
{
}
/**
* @brief The problem of interest is solved.
* @details
* {
* This function calls sequentially: Initialize(), InitializeSolutionStep(), Predict(), SolveSolutionStep() and FinalizeSolutionStep().
* All those functions can otherwise be called separately.
* }
*/
virtual double Solve()
{
Initialize();
InitializeSolutionStep();
Predict();
SolveSolutionStep();
FinalizeSolutionStep();
return 0.0;
}
/**
* @brief Clears the internal storage
*/
virtual void Clear()
{
}
/**
* @brief This should be considered as a "post solution" convergence check which is useful for coupled analysis
* @details The convergence criteria used is the one used inside the "solve" step
*/
virtual bool IsConverged()
{
return true;
}
/**
* @brief This operations should be called before printing the results when non trivial results (e.g. stresses)
* need to be calculated given the solution of the step
* @details This operations should be called only when needed, before printing as it can involve a non negligible cost
*/
virtual void CalculateOutputData()
{
}
/**
* @brief Performs all the required operations that should be done (for each step) before solving the solution step.
* @details A member variable should be used as a flag to make sure this function is called only once per step.
*/
virtual void InitializeSolutionStep()
{
}
/**
* @brief Performs all the required operations that should be done (for each step) after solving the solution step.
* @details A member variable should be used as a flag to make sure this function is called only once per step.
*/
virtual void FinalizeSolutionStep()
{
}
/**
* @brief Solves the current step. This function returns true if a solution has been found, false otherwise.
*/
virtual bool SolveSolutionStep()
{
return true;
}
/**
* @brief This sets the level of echo for the solving strategy
* @param Level of echo for the solving strategy
* @details
* {
* 0 -> Mute... no echo at all
* 1 -> Printing time and basic informations
* 2 -> Printing linear solver data
* 3 -> Print of debug informations: Echo of stiffness matrix, Dx, b...
* }
*/
virtual void SetEchoLevel(const int Level)
{
mEchoLevel = Level;
}
/**
* @brief This returns the level of echo for the solving strategy
* @details
* {
* 0 -> Mute... no echo at all
* 1 -> Printing time and basic informations
* 2 -> Printing linear solver data
* 3 -> Print of debug informations: Echo of stiffness matrix, Dx, b...
* }
* @return Level of echo for the solving strategy
*/
virtual int GetEchoLevel()
{
return mEchoLevel;
}
/**
* This sets the build level
* @param Level The build level
* @details
* {
* 0 -> Build StiffnessMatrix just once
* 1 -> Build StiffnessMatrix at the beginning of each solution step
* 2 -> build StiffnessMatrix at each iteration
* }
*/
virtual void SetRebuildLevel(int Level)
{
mRebuildLevel = Level;
mStiffnessMatrixIsBuilt = false;
}
/**
* @brief This returns the build level
* @details
* {
* 0 -> Build StiffnessMatrix just once
* 1 -> Build StiffnessMatrix at the beginning of each solution step
* 2 -> build StiffnessMatrix at each iteration
* }
* @return The build level
*/
virtual int GetRebuildLevel()
{
return mRebuildLevel;
}
/**
* @brief This function sets the flag that says if the mesh is moved
* @param Flag True if the mesh is moved, false otherwise
*/
void SetMoveMeshFlag(bool Flag)
{
mMoveMeshFlag = Flag;
}
/**
* @brief This function returns the flag that says if the mesh is moved
* @return True if the mesh is moved, false otherwise
*/
bool MoveMeshFlag()
{
return mMoveMeshFlag;
}
/**
* @brief This function is designed to move the mesh
* @note Be careful it just consider displacements, derive this method to adapt to your own strategies (ALE, FSI, etc...)
*/
virtual void MoveMesh()
{
KRATOS_TRY
KRATOS_ERROR_IF(GetModelPart().NodesBegin()->SolutionStepsDataHas(DISPLACEMENT_X) == false) << "It is impossible to move the mesh since the DISPLACEMENT var is not in the Model Part. Either use SetMoveMeshFlag(False) or add DISPLACEMENT to the list of variables" << std::endl;
NodesArrayType& NodesArray = GetModelPart().Nodes();
const int numNodes = static_cast<int>(NodesArray.size());
#pragma omp parallel for
for(int i = 0; i < numNodes; ++i) {
auto it_node = NodesArray.begin() + i;
noalias(it_node->Coordinates()) = it_node->GetInitialPosition().Coordinates();
noalias(it_node->Coordinates()) += it_node->FastGetSolutionStepValue(DISPLACEMENT);
}
KRATOS_INFO_IF("SolvingStrategy", this->GetEchoLevel() != 0 && GetModelPart().GetCommunicator().MyPID() == 0) <<" MESH MOVED "<<std::endl;
KRATOS_CATCH("")
}
/**
* @brief Operations to get the pointer to the model
* @return mrModelPart: The model part member variable
*/
inline ModelPart& GetModelPart()
{
return mrModelPart;
};
/**
* @brief Operations to get the residual norm
* @return The residual norm
*/
virtual double GetResidualNorm()
{
return 0.0;
}
/**
* @brief Function to perform expensive checks.
* @details It is designed to be called ONCE to verify that the input is correct.
*/
virtual int Check()
{
KRATOS_TRY
// Check if displacement var is needed
if (mMoveMeshFlag == true)
{
for (ModelPart::NodesContainerType::iterator itNode = GetModelPart().NodesBegin();
itNode != GetModelPart().NodesEnd(); itNode++)
{
if (itNode->SolutionStepsDataHas(DISPLACEMENT) == false)
{
KRATOS_ERROR << "ERROR:: Problem on node with Id " << itNode->Id() << "\nIt is impossible to move the mesh since the DISPLACEMENT var is not in the rModelPart. Either use SetMoveMeshFlag(False) or add DISPLACEMENT to the list of variables" << std::endl;
}
}
}
for (ModelPart::ElementsContainerType::iterator it_elem = GetModelPart().ElementsBegin();
it_elem != GetModelPart().ElementsEnd(); it_elem++)
{
it_elem->Check(GetModelPart().GetProcessInfo());
}
for (ModelPart::ConditionsContainerType::iterator it_cond = GetModelPart().ConditionsBegin();
it_cond != GetModelPart().ConditionsEnd(); it_cond++)
{
it_cond->Check(GetModelPart().GetProcessInfo());
}
return 0;
KRATOS_CATCH("")
}
///@}
///@name Input and output
///@{
/// Turn back information as a string.
virtual std::string Info() const
{
return "SolvingStrategy";
}
/// Print information about this object.
virtual void PrintInfo(std::ostream& rOStream) const
{
rOStream << Info();
}
/// Print object's data.
virtual void PrintData(std::ostream& rOStream) const
{
rOStream << Info();
}
///@}
protected:
///@name Protected static Member Variables
///@{
// Level of echo for the solving strategy
int mEchoLevel;
// Settings for the rebuilding of the stiffness matrix
int mRebuildLevel;
bool mStiffnessMatrixIsBuilt;
///@}
///@name Protected member Variables
///@{
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
private:
///@}
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
ModelPart& mrModelPart;
bool mMoveMeshFlag;
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
///@}
///@name Private Access
///@{
///@}
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
/** Copy constructor.
*/
SolvingStrategy(const SolvingStrategy& Other);
///@}
}; /* Class NewSolvingStrategy */
///@}
///@name Type Definitions
///@{
///@}
} /* namespace Kratos.*/
#endif /* KRATOS_SOLVING_STRATEGY defined */
|
3d7pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 4;
tile_size[1] = 4;
tile_size[2] = 16;
tile_size[3] = 1024;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,2);t1++) {
lbp=max(ceild(t1,2),ceild(4*t1-Nt+3,4));
ubp=min(floord(Nt+Nz-4,4),floord(2*t1+Nz-1,4));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(t1-7,8)),ceild(4*t2-Nz-12,16));t3<=min(min(min(floord(4*t2+Ny,16),floord(Nt+Ny-4,16)),floord(2*t1+Ny+1,16)),floord(4*t1-4*t2+Nz+Ny-1,16));t3++) {
for (t4=max(max(max(0,ceild(t1-511,512)),ceild(4*t2-Nz-1020,1024)),ceild(16*t3-Ny-1020,1024));t4<=min(min(min(min(floord(4*t2+Nx,1024),floord(Nt+Nx-4,1024)),floord(2*t1+Nx+1,1024)),floord(16*t3+Nx+12,1024)),floord(4*t1-4*t2+Nz+Nx-1,1024));t4++) {
for (t5=max(max(max(max(max(0,2*t1),4*t1-4*t2+1),4*t2-Nz+2),16*t3-Ny+2),1024*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,2*t1+3),4*t2+2),16*t3+14),1024*t4+1022),4*t1-4*t2+Nz+1);t5++) {
for (t6=max(max(4*t2,t5+1),-4*t1+4*t2+2*t5-3);t6<=min(min(4*t2+3,-4*t1+4*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(16*t3,t5+1);t7<=min(16*t3+15,t5+Ny-2);t7++) {
lbv=max(1024*t4,t5+1);
ubv=min(1024*t4+1023,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = (((((((coef[0][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (coef[1][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)])) + (coef[2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)])) + (coef[3][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1])) + (coef[4][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)])) + (coef[5][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)])) + (coef[6][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1]));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
spmmd_x_csc_col.c | #include "alphasparse/kernel.h"
#include "alphasparse/util.h"
#include "alphasparse/opt.h"
#include <memory.h>
#ifdef _OPENMP
#include <omp.h>
#endif
alphasparse_status_t ONAME(const ALPHA_SPMAT_CSC *matA, const ALPHA_SPMAT_CSC *matB, ALPHA_Number *matC, const ALPHA_INT ldc)
{
if (matA->cols != matB->rows)
return ALPHA_SPARSE_STATUS_INVALID_VALUE;
ALPHA_INT m = matA->rows;
ALPHA_INT n = matB->cols;
ALPHA_INT num_thread = alpha_get_thread_num();
#ifdef _OPENMP
#pragma omp parallel for num_threads(num_thread)
#endif
for(ALPHA_INT i = 0; i < matA->rows; i++)
{
for(ALPHA_INT j = 0; j < matB->cols; j++)
{
alpha_setzero(matC[index2(j, i, ldc)]);
}
}
#ifdef _OPENMP
#pragma omp parallel for num_threads(num_thread)
#endif
for (ALPHA_INT bc = 0; bc < n; bc++)
{
for (ALPHA_INT bi = matB->cols_start[bc]; bi < matB->cols_end[bc]; bi++)
{
ALPHA_INT ac = matB->row_indx[bi]; // ac == br
ALPHA_Number bv;
bv = matB->values[bi];
for (ALPHA_INT ai = matA->cols_start[ac]; ai < matA->cols_end[ac]; ai++)
{
ALPHA_INT ar = matA->row_indx[ai];
ALPHA_Number av;
av = matA->values[ai];
ALPHA_Number tmp;
alpha_mul(tmp, av, bv);
alpha_adde(matC[index2(bc, ar, ldc)], tmp);
}
}
}
return ALPHA_SPARSE_STATUS_SUCCESS;
}
|
GB_unaryop__lnot_uint8_bool.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_uint8_bool
// op(A') function: GB_tran__lnot_uint8_bool
// C type: uint8_t
// A type: bool
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
bool
#define GB_CTYPE \
uint8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, x) \
uint8_t z = (uint8_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_UINT8 || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_uint8_bool
(
uint8_t *restrict Cx,
const bool *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_uint8_bool
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
DRB058-jacobikernel-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
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
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL 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
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY 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.
*/
/*
Two parallel for loops within one single parallel region,
combined with private() and reduction().
*/
#include "omprace.h"
#include <omp.h>
#include <stdio.h>
#include <math.h>
#define MSIZE 200
int n=MSIZE, m=MSIZE, mits=1000;
double tol=0.0000000001, relax = 1.0, alpha = 0.0543;
double u[MSIZE][MSIZE], f[MSIZE][MSIZE], uold[MSIZE][MSIZE];
double dx, dy;
void
initialize ()
{
int i, j, xx, yy;
dx = 2.0 / (n - 1);
dy = 2.0 / (m - 1);
/* Initialize initial condition and RHS */
//#pragma omp parallel for private(i,j,xx,yy)
for (i = 0; i < n; i++)
for (j = 0; j < m; j++)
{
xx = (int) (-1.0 + dx * (i - 1)); /* -1 < x < 1 */
yy = (int) (-1.0 + dy * (j - 1)); /* -1 < y < 1 */
u[i][j] = 0.0;
f[i][j] = -1.0 * alpha * (1.0 - xx * xx) * (1.0 - yy * yy)
- 2.0 * (1.0 - xx * xx) - 2.0 * (1.0 - yy * yy);
}
}
void
jacobi ()
{
double omega;
int i, j, k;
double error, resid, ax, ay, b;
omega = relax;
/* Initialize coefficients */
dx = 2.0 / (n - 1);
dy = 2.0 / (m - 1);
ax = 1.0 / (dx * dx); /* X-direction coef */
ay = 1.0 / (dy * dy); /* Y-direction coef */
b = -2.0 / (dx * dx) - 2.0 / (dy * dy) - alpha; /* Central coeff */
error = 10.0 * tol;
k = 1;
while (k <= mits)
{
error = 0.0;
/* Copy new solution into old */
#pragma omp parallel
{
#pragma omp for private(i,j)
for (i = 0; i < n; i++)
for (j = 0; j < m; j++)
uold[i][j] = u[i][j];
#pragma omp for private(i,j,resid) reduction(+:error) nowait
for (i = 1; i < (n - 1); i++)
for (j = 1; j < (m - 1); j++)
{
resid = (ax * (uold[i - 1][j] + uold[i + 1][j])
+ ay * (uold[i][j - 1] + uold[i][j + 1]) +
b * uold[i][j] - f[i][j]) / b;
u[i][j] = uold[i][j] - omega * resid;
error = error + resid * resid;
}
}
/* omp end parallel */
/* Error check */
k = k + 1;
error = sqrt (error) / (n * m);
} /* End iteration loop */
printf ("Total Number of Iterations:%d\n", k);
printf ("Residual:%E\n", error);
}
int main()
{
omprace_init();
initialize();
jacobi();
omprace_fini();
return 0;
}
|
rwalk.c | #include "rwalk.h"
#include <omp.h>
#include <stdlib.h>
void random_walk(int const* starts, int const* ptr, int const* neighs, int n, int num_walks,
int num_steps, int seed, int nthread, float restart_prop, int* walks) {
if (nthread > 0) {
omp_set_num_threads(nthread);
}
#pragma omp parallel
{
int thread_num = omp_get_thread_num();
unsigned int private_seed = (unsigned int)(seed + thread_num);
#pragma omp for
for (int i = 0; i < n; i++) {
int offset, num_neighs;
for (int walk = 0; walk < num_walks; walk++) {
// int curr = i;
int curr = starts[i];
offset = i * num_walks * (num_steps + 1) + walk * (num_steps + 1);
walks[offset] = starts[i];
for (int step = 0; step < num_steps; step++) {
num_neighs = ptr[curr + 1] - ptr[curr];
if((restart_prop > 0) && (rand_r(&private_seed) / (double)RAND_MAX < restart_prop)){
curr = starts[i];
} else {
if (num_neighs > 0) {
curr = neighs[ptr[curr] + (rand_r(&private_seed) % num_neighs)];
}
}
walks[offset + step + 1] = curr;
}
}
}
}
}
|
GB_bitmap_select_template.c | //------------------------------------------------------------------------------
// GB_bitmap_select_template: C=select(A,thunk) if A is bitmap or full
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// Ab and Cb can be aliased, if A is bitmap and the selection is done in-place.
// Ax and Cx are not aliased.
// TODO: If done in-place, Cx can be passed as NULL. Then if A is not bitmap,
// C->b needs to be allocated, but not C->x.
// the following macro is awkward but currently needed for the user_select op:
#undef GBI
#define GBI(Ai,p,avlen) i
{
int8_t *Ab = A->b ;
GB_ATYPE *restrict Ax = (GB_ATYPE *) A->x ;
const int64_t avlen = A->vlen ;
const int64_t avdim = A->vdim ;
const size_t asize = A->type->size ;
const int64_t anz = avlen * avdim ;
int64_t pA, cnvals = 0 ;
#pragma omp parallel for num_threads(nthreads) schedule(static) \
reduction(+:cnvals)
for (pA = 0 ; pA < anz ; pA++)
{
int64_t i = pA % avlen ;
int64_t j = pA / avlen ;
#if defined ( GB_ENTRY_SELECTOR )
// test the existence and value of A(i,j)
int8_t cb = GBB (Ab, pA) && GB_TEST_VALUE_OF_ENTRY (pA) ;
#else
// test the existence and position of A(i,j)
#if defined ( GB_TRIL_SELECTOR )
int8_t cb = GBB (Ab, pA) && (j-i <= ithunk) ;
#elif defined ( GB_TRIU_SELECTOR )
int8_t cb = GBB (Ab, pA) && (j-i >= ithunk) ;
#elif defined ( GB_DIAG_SELECTOR )
int8_t cb = GBB (Ab, pA) && (j-i == ithunk) ;
#elif defined ( GB_OFFDIAG_SELECTOR )
int8_t cb = GBB (Ab, pA) && (j-i != ithunk) ;
#else
ASSERT (GB_DEAD_CODE) ;
#endif
#endif
Cb [pA] = cb ;
cnvals += cb ;
// if (Cx != NULL)
{
// Cx [pA] = Ax [pA]
GB_SELECT_ENTRY (Cx, pA, Ax, pA) ;
}
}
(*cnvals_handle)= cnvals ;
}
|
seq_multivector.c | /******************************************************************************
* Copyright 1998-2019 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
/******************************************************************************
*
* Member functions for hypre_Vector class.
*
*****************************************************************************/
#include "seq_multivector.h"
#include "_hypre_utilities.h"
#include <stdlib.h>
#include <string.h>
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorCreate
*--------------------------------------------------------------------------*/
hypre_Multivector *
hypre_SeqMultivectorCreate( HYPRE_Int size, HYPRE_Int num_vectors )
{
hypre_Multivector *mvector;
mvector = (hypre_Multivector *) hypre_MAlloc(sizeof(hypre_Multivector), HYPRE_MEMORY_HOST);
hypre_MultivectorNumVectors(mvector) = num_vectors;
hypre_MultivectorSize(mvector) = size;
hypre_MultivectorOwnsData(mvector) = 1;
hypre_MultivectorData(mvector) = NULL;
mvector->num_active_vectors = 0;
mvector->active_indices = NULL;
return mvector;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorInitialize
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorInitialize( hypre_Multivector *mvector )
{
HYPRE_Int ierr = 0, i, size, num_vectors;
size = hypre_MultivectorSize(mvector);
num_vectors = hypre_MultivectorNumVectors(mvector);
if (NULL == hypre_MultivectorData(mvector))
hypre_MultivectorData(mvector) =
(HYPRE_Complex *) hypre_MAlloc(sizeof(HYPRE_Complex) * size * num_vectors, HYPRE_MEMORY_HOST);
/* now we create a "mask" of "active" vectors; initially all active */
if (NULL == mvector->active_indices)
{
mvector->active_indices hypre_CTAlloc(HYPRE_Int, num_vectors, HYPRE_MEMORY_HOST);
for (i = 0; i < num_vectors; i++) { mvector->active_indices[i] = i; }
mvector->num_active_vectors = num_vectors;
}
return ierr;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorSetDataOwner
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorSetDataOwner(hypre_Multivector *mvector, HYPRE_Int owns_data)
{
HYPRE_Int ierr = 0;
hypre_MultivectorOwnsData(mvector) = owns_data;
return ierr;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorDestroy
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorDestroy(hypre_Multivector *mvector)
{
HYPRE_Int ierr = 0;
if (NULL != mvector)
{
if (hypre_MultivectorOwnsData(mvector) && NULL != hypre_MultivectorData(mvector))
{
hypre_TFree( hypre_MultivectorData(mvector), HYPRE_MEMORY_HOST);
}
if (NULL != mvector->active_indices)
{
hypre_TFree(mvector->active_indices, HYPRE_MEMORY_HOST);
}
hypre_TFree(mvector, HYPRE_MEMORY_HOST);
}
return ierr;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorSetMask
* (this routine accepts mask in "zeros and ones format, and converts it to
the one used in the structure "hypre_Multivector")
*-------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorSetMask(hypre_Multivector *mvector, HYPRE_Int * mask)
{
HYPRE_Int i, num_vectors = mvector->num_vectors;
if (mvector->active_indices != NULL) { hypre_TFree(mvector->active_indices, HYPRE_MEMORY_HOST); }
mvector->active_indices hypre_CTAlloc(HYPRE_Int, num_vectors, HYPRE_MEMORY_HOST);
mvector->num_active_vectors = 0;
if (mask != NULL)
for (i = 0; i < num_vectors; i++)
{
if ( mask[i] )
{
mvector->active_indices[mvector->num_active_vectors++] = i;
}
}
else
for (i = 0; i < num_vectors; i++)
{
mvector->active_indices[mvector->num_active_vectors++] = i;
}
return 0;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorSetConstantValues
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorSetConstantValues(hypre_Multivector *v, HYPRE_Complex value)
{
HYPRE_Int i, j, start_offset, end_offset;
HYPRE_Int size = hypre_MultivectorSize(v);
HYPRE_Complex *vector_data = hypre_MultivectorData(v);
if (v->num_active_vectors == v->num_vectors)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < v->num_vectors * size; j++) { vector_data[j] = value; }
}
else
{
for (i = 0; i < v->num_active_vectors; i++)
{
start_offset = v->active_indices[i] * size;
end_offset = start_offset + size;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for (j = start_offset; j < end_offset; j++) { vector_data[j] = value; }
}
}
return 0;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorSetRandomValues
*
* returns vector of values randomly distributed between -1.0 and +1.0
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorSetRandomValues(hypre_Multivector *v, HYPRE_Int seed)
{
HYPRE_Int i, j, start_offset, end_offset;
HYPRE_Int size = hypre_MultivectorSize(v);
HYPRE_Complex *vector_data = hypre_MultivectorData(v);
hypre_SeedRand(seed);
/* comment from vector.c: RDF: threading this loop may cause problems
because of hypre_Rand() */
if (v->num_active_vectors == v->num_vectors)
{
for (j = 0; j < v->num_vectors * size; j++)
{
vector_data[j] = 2.0 * hypre_Rand() - 1.0;
}
}
else
{
for (i = 0; i < v->num_active_vectors; i++)
{
start_offset = v->active_indices[i] * size;
end_offset = start_offset + size;
for (j = start_offset; j < end_offset; j++)
{
vector_data[j] = 2.0 * hypre_Rand() - 1.0;
}
}
}
return 0;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorCopy
* copies data from x to y
* y should have already been initialized at the same size as x
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorCopy(hypre_Multivector *x, hypre_Multivector *y)
{
HYPRE_Int i, size, num_bytes, num_active_vectors, *x_active_ind, * y_active_ind;
HYPRE_Complex *x_data, *y_data, *dest, * src;
hypre_assert (x->size == y->size && x->num_active_vectors == y->num_active_vectors);
num_active_vectors = x->num_active_vectors;
size = x->size;
x_data = x->data;
y_data = y->data;
x_active_ind = x->active_indices;
y_active_ind = y->active_indices;
if (x->num_active_vectors == x->num_vectors &&
y->num_active_vectors == y->num_vectors)
{
num_bytes = x->num_vectors * size;
hypre_TMemcpy(y_data, x_data, HYPRE_Complex, num_bytes, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
}
else
{
num_bytes = size;
for (i = 0; i < num_active_vectors; i++)
{
src = x_data + size * x_active_ind[i];
dest = y_data + size * y_active_ind[i];
hypre_Memcpy(dest, src, HYPRE_Complex, num_bytes, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
}
}
return 0;
}
HYPRE_Int
hypre_SeqMultivectorCopyWithoutMask(hypre_Multivector *x,
hypre_Multivector *y)
{
HYPRE_Int byte_count;
hypre_assert (x->size == y->size && x->num_vectors == y->num_vectors);
byte_count = x->size * x->num_vectors;
hypre_Memcpy(y->data, x->data, HYPRE_Complex, byte_count, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
return 0;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorAxpy
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorAxpy(HYPRE_Complex alpha, hypre_Multivector *x,
hypre_Multivector *y)
{
HYPRE_Int i, j, size, num_active_vectors, *x_active_ind, *y_active_ind;
HYPRE_Complex *x_data, *y_data, *src, *dest;
hypre_assert (x->size == y->size && x->num_active_vectors == y->num_active_vectors);
x_data = x->data;
y_data = y->data;
size = x->size;
num_active_vectors = x->num_active_vectors;
x_active_ind = x->active_indices;
y_active_ind = y->active_indices;
if (x->num_active_vectors == x->num_vectors &&
y->num_active_vectors == y->num_vectors)
{
for (i = 0; i < x->num_vectors * size; i++) { dest[i] += alpha * src[i]; }
}
else
{
for (i = 0; i < num_active_vectors; i++)
{
src = x_data + x_active_ind[i] * size;
dest = y_data + y_active_ind[i] * size;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < size; j++) { dest[j] += alpha * src[j]; }
}
}
return 0;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorByDiag: " y(<y_mask>) = alpha(<mask>) .* x(<x_mask>) "
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SeqMultivectorByDiag(hypre_Multivector *x, HYPRE_Int *mask, HYPRE_Int n,
HYPRE_Complex *alpha, hypre_Multivector *y)
{
HYPRE_Int i, j, size, num_active_vectors, *x_active_ind, *y_active_ind;
HYPRE_Int *al_active_ind, num_active_als;
HYPRE_Complex *x_data, *y_data, *dest, *src, current_alpha;
hypre_assert (x->size == y->size && x->num_active_vectors == y->num_active_vectors);
/* build list of active indices in alpha */
al_active_ind = hypre_TAlloc(HYPRE_Int, n, HYPRE_MEMORY_HOST);
num_active_als = 0;
if (mask != NULL)
for (i = 0; i < n; i++)
{
if (mask[i])
{
al_active_ind[num_active_als++] = i;
}
}
else
for (i = 0; i < n; i++)
{
al_active_ind[num_active_als++] = i;
}
hypre_assert (num_active_als == x->num_active_vectors);
x_data = x->data;
y_data = y->data;
size = x->size;
num_active_vectors = x->num_active_vectors;
x_active_ind = x->active_indices;
y_active_ind = y->active_indices;
for (i = 0; i < num_active_vectors; i++)
{
src = x_data + x_active_ind[i] * size;
dest = y_data + y_active_ind[i] * size;
current_alpha = alpha[ al_active_ind[i] ];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < size; j++)
{
dest[j] = current_alpha * src[j];
}
}
hypre_TFree(al_active_ind, HYPRE_MEMORY_HOST);
return 0;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorInnerProd
*--------------------------------------------------------------------------*/
HYPRE_Int hypre_SeqMultivectorInnerProd(hypre_Multivector *x, hypre_Multivector *y,
HYPRE_Real *results )
{
HYPRE_Int i, j, k, size, *x_active_ind, *y_active_ind;
HYPRE_Int x_num_active_vectors, y_num_active_vectors;
HYPRE_Complex *x_data, *y_data, *y_ptr, *x_ptr;
HYPRE_Real current_product;
hypre_assert (x->size == y->size);
x_data = x->data;
y_data = y->data;
size = x->size;
x_num_active_vectors = x->num_active_vectors;
y_num_active_vectors = y->num_active_vectors;
/* we assume that "results" points to contiguous array of (x_num_active_vectors X
y_num_active_vectors) doubles */
x_active_ind = x->active_indices;
y_active_ind = y->active_indices;
for (j = 0; j < y_num_active_vectors; j++)
{
y_ptr = y_data + y_active_ind[j] * size;
for (i = 0; i < x_num_active_vectors; i++)
{
x_ptr = x_data + x_active_ind[i] * size;
current_product = 0.0;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(k) reduction(+:current_product) HYPRE_SMP_SCHEDULE
#endif
for (k = 0; k < size; k++)
{
current_product += x_ptr[k] * hypre_conj(y_ptr[k]);
}
/* column-wise storage for results */
*results++ = current_product;
}
}
return 0;
}
/*--------------------------------------------------------------------------
* hypre_SeqMultivectorInnerProdDiag
*--------------------------------------------------------------------------*/
HYPRE_Int hypre_SeqMultivectorInnerProdDiag(hypre_Multivector *x,
hypre_Multivector *y, HYPRE_Real *diagResults)
{
HYPRE_Complex *x_data, *y_data, *y_ptr, *x_ptr;
HYPRE_Real current_product;
HYPRE_Int i, k, size, num_active_vectors, *x_active_ind, *y_active_ind;
hypre_assert(x->size == y->size && x->num_active_vectors == y->num_active_vectors);
x_data = x->data;
y_data = y->data;
size = x->size;
num_active_vectors = x->num_active_vectors;
x_active_ind = x->active_indices;
y_active_ind = y->active_indices;
for (i = 0; i < num_active_vectors; i++)
{
x_ptr = x_data + x_active_ind[i] * size;
y_ptr = y_data + y_active_ind[i] * size;
current_product = 0.0;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(k) reduction(+:current_product) HYPRE_SMP_SCHEDULE
#endif
for (k = 0; k < size; k++)
{
current_product += x_ptr[k] * hypre_conj(y_ptr[k]);
}
*diagResults++ = current_product;
}
return 0;
}
HYPRE_Int
hypre_SeqMultivectorByMatrix(hypre_Multivector *x, HYPRE_Int rGHeight, HYPRE_Int rHeight,
HYPRE_Int rWidth, HYPRE_Complex* rVal, hypre_Multivector *y)
{
HYPRE_Int i, j, k, size, gap, *x_active_ind, *y_active_ind;
HYPRE_Complex *x_data, *y_data, *x_ptr, *y_ptr, current_coef;
hypre_assert(rHeight > 0);
hypre_assert (rHeight == x->num_active_vectors && rWidth == y->num_active_vectors);
x_data = x->data;
y_data = y->data;
size = x->size;
x_active_ind = x->active_indices;
y_active_ind = y->active_indices;
gap = rGHeight - rHeight;
for (j = 0; j < rWidth; j++)
{
y_ptr = y_data + y_active_ind[j] * size;
/* ------ set current "y" to first member in a sum ------ */
x_ptr = x_data + x_active_ind[0] * size;
current_coef = *rVal++;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(k) HYPRE_SMP_SCHEDULE
#endif
for (k = 0; k < size; k++)
{
y_ptr[k] = current_coef * x_ptr[k];
}
/* ------ now add all other members of a sum to "y" ----- */
for (i = 1; i < rHeight; i++)
{
x_ptr = x_data + x_active_ind[i] * size;
current_coef = *rVal++;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(k) HYPRE_SMP_SCHEDULE
#endif
for (k = 0; k < size; k++)
{
y_ptr[k] += current_coef * x_ptr[k];
}
}
rVal += gap;
}
return 0;
}
HYPRE_Int
hypre_SeqMultivectorXapy (hypre_Multivector *x, HYPRE_Int rGHeight, HYPRE_Int rHeight,
HYPRE_Int rWidth, HYPRE_Complex* rVal, hypre_Multivector *y)
{
HYPRE_Complex *x_data, *y_data, *x_ptr, *y_ptr, current_coef;
HYPRE_Int i, j, k, size, gap, *x_active_ind, *y_active_ind;
hypre_assert (rHeight == x->num_active_vectors && rWidth == y->num_active_vectors);
x_data = x->data;
y_data = y->data;
size = x->size;
x_active_ind = x->active_indices;
y_active_ind = y->active_indices;
gap = rGHeight - rHeight;
for (j = 0; j < rWidth; j++)
{
y_ptr = y_data + y_active_ind[j] * size;
for (i = 0; i < rHeight; i++)
{
x_ptr = x_data + x_active_ind[i] * size;
current_coef = *rVal++;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(k) HYPRE_SMP_SCHEDULE
#endif
for (k = 0; k < size; k++)
{
y_ptr[k] += current_coef * x_ptr[k];
}
}
rVal += gap;
}
return 0;
}
|
generator_gemm_common.c | /******************************************************************************
* Copyright (c) Intel Corporation - All rights reserved. *
* This file is part of the LIBXSMM library. *
* *
* For information on the license, see the LICENSE file. *
* Further information: https://github.com/hfp/libxsmm/ *
* SPDX-License-Identifier: BSD-3-Clause *
******************************************************************************/
/* Alexander Heinecke (Intel Corp.)
******************************************************************************/
#include "generator_gemm_common.h"
#include "generator_common.h"
#include "generator_x86_instructions.h"
#include "libxsmm_main.h"
LIBXSMM_API_INTERN
int libxsmm_generator_gemm_get_rbp_relative_offset( libxsmm_gemm_stack_var stack_var ) {
/* The stack at exit of setup looks like this:
*
* 10th param (if applicable) <-- RBP+40
* 9th param (if applicable) <-- RBP+32
* 8th param (if applicable) <-- RBP+24
* 7th param (if applicable) <-- RBP+16
* Return address <-- RBP+8
* Entry/saved RBP <-- RBP
* prefetch A ptr <-- RBP-8
* prefetch B ptr <-- RBP-16
* Offset A array ptr <-- RBP-24
* Offset B array ptr <-- RBP-32
* Int8 scaling factor <-- RBP-40
* GEMM_scratch ptr in stack (to be filled) <-- RBP-48
* Eltwise bias ptr <-- RBP-56
* Eltwise output_ptr <-- RBP-64
* Eltwise buf1_ptr <-- RBP-72
* Eltwise buf2_ptr <-- RBP-80
*
* */
switch ( stack_var ) {
case LIBXSMM_GEMM_STACK_VAR_NONE:
return 0;
case LIBXSMM_GEMM_STACK_VAR_PFA_PTR:
return -8;
case LIBXSMM_GEMM_STACK_VAR_PFB_PTR:
return -16;
case LIBXSMM_GEMM_STACK_VAR_A_OFFS_BRGEMM_PTR:
return -24;
case LIBXSMM_GEMM_STACK_VAR_B_OFFS_BRGEMM_PTR:
return -32;
case LIBXSMM_GEMM_STACK_VAR_INT8_SCF:
return -40;
case LIBXSMM_GEMM_STACK_VAR_GEMM_SCRATCH_PTR:
return -48;
case LIBXSMM_GEMM_STACK_VAR_ELT_BIAS_PTR:
return -56;
case LIBXSMM_GEMM_STACK_VAR_ELT_OUTPUT_PTR:
return -64;
case LIBXSMM_GEMM_STACK_VAR_ELT_RELU_BITMASK_PTR:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_BUF1:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_BUF2:
return -80;
case LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_B:
return -72;
case LIBXSMM_GEMM_STACK_VAR_TRANS_EXT_BUF_C:
return -80;
case LIBXSMM_GEMM_STACK_VAR_ELT_BITMAP_PTR:
return -72;
case LIBXSMM_GEMM_STACK_VAR_ELT_DECOMPRESS_BUF:
return -80;
case LIBXSMM_GEMM_STACK_VAR_ARG_7:
return 16;
case LIBXSMM_GEMM_STACK_VAR_ARG_8:
return 24;
case LIBXSMM_GEMM_STACK_VAR_ARG_9:
return 32;
case LIBXSMM_GEMM_STACK_VAR_ARG_10:
return 40;
default:
return 0;
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_getval_stack_var( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_gemm_stack_var stack_var,
unsigned int i_gp_reg ) {
int offset = libxsmm_generator_gemm_get_rbp_relative_offset(stack_var);
/* make sure we requested a legal stack var */
if (offset == 0) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_GENERAL );
return;
}
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_UNDEF, 0, offset, i_gp_reg, 0 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_setval_stack_var( libxsmm_generated_code* io_generated_code,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
libxsmm_gemm_stack_var stack_var,
unsigned int i_gp_reg ) {
int offset = libxsmm_generator_gemm_get_rbp_relative_offset(stack_var);
/* make sure we requested to set a legal stack var */
if (offset >= 0) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_GENERAL );
return;
}
libxsmm_x86_instruction_alu_mem( io_generated_code, i_micro_kernel_config->alu_mov_instruction, LIBXSMM_X86_GP_REG_RBP, LIBXSMM_X86_GP_REG_UNDEF, 0, offset, i_gp_reg, 1 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_fullvector( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
memset(io_micro_kernel_config, 0, sizeof(*io_micro_kernel_config)); /* avoid warning "maybe used uninitialized" */
if ( (i_arch <= LIBXSMM_TARGET_ARCH_GENERIC) || (i_arch > LIBXSMM_X86_ALLFEAT) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 2;
io_micro_kernel_config->datatype_size = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPD;
}
if ( i_arch == LIBXSMM_X86_GENERIC ) {
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_SHUFPD;
} else {
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVDDUP;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVAPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDPD;
} else {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_SHUFPS;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVAPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPS;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDPS;
}
} else if ( i_arch <= LIBXSMM_X86_AVX2 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'y';
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
}
} else {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
}
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 32;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'z';
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 8;
io_micro_kernel_config->datatype_size = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else if ( LIBXSMM_GEMM_PRECISION_F32 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else if ( LIBXSMM_GEMM_PRECISION_I16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPWSSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VPDPBUSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VPADDD;
} else if ( LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
/* C is 32bit, so we treat all 3 matrices as 32bit element arrays */
io_micro_kernel_config->vector_length = 16;
io_micro_kernel_config->datatype_size = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VPBROADCASTD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
if ( (i_use_masking_a_c == 0) ) {
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
}
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VPXORD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VDPBF16PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
/* shouldn't happen as we caught this case earlier */
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
/* that should no happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_halfvector( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
if ( (i_arch <= LIBXSMM_TARGET_ARCH_GENERIC) || (i_arch > LIBXSMM_X86_ALLFEAT) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
#if !defined(NDEBUG)
fprintf(stderr, "LIBXSMM WARNING, libxsmm_generator_gemm_init_micro_kernel_config_halfvector, redirecting to scalar, please fix the generation code!!!\n");
#endif
libxsmm_generator_gemm_init_micro_kernel_config_scalar( io_micro_kernel_config, i_arch, i_xgemm_desc, i_use_masking_a_c );
} else if ( i_arch <= LIBXSMM_X86_AVX2 ) {
io_micro_kernel_config->instruction_set = LIBXSMM_X86_AVX;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 2;
io_micro_kernel_config->datatype_size = 8;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVDDUP;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPD;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPD;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
io_micro_kernel_config->vector_length = 4;
io_micro_kernel_config->datatype_size = 4;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_A & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
} else {
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VBROADCASTSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
if ( (LIBXSMM_GEMM_FLAG_ALIGN_C & i_xgemm_desc->flags) != 0 ) {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVAPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVNTPS;
} else {
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVUPS;
}
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULPS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDPS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231PS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
#if !defined(NDEBUG)
fprintf(stderr, "LIBXSMM WARNING, libxsmm_generator_gemm_init_micro_kernel_config_halfvector, AVX512 redirecting to fullvector!\n");
#endif
libxsmm_generator_gemm_init_micro_kernel_config_fullvector( io_micro_kernel_config, i_arch, i_xgemm_desc, i_use_masking_a_c );
} else {
/* should not happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_init_micro_kernel_config_scalar( libxsmm_micro_kernel_config* io_micro_kernel_config,
const unsigned int i_arch,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_use_masking_a_c ) {
if ( ( i_arch <= LIBXSMM_TARGET_ARCH_GENERIC ) || ( i_arch > LIBXSMM_X86_ALLFEAT ) ) {
io_micro_kernel_config->instruction_set = LIBXSMM_TARGET_ARCH_GENERIC;
io_micro_kernel_config->vector_reg_count = 0;
io_micro_kernel_config->use_masking_a_c = 0;
io_micro_kernel_config->vector_name = 'a';
io_micro_kernel_config->vector_length = 0;
io_micro_kernel_config->datatype_size = 0;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
} else if ( i_arch <= LIBXSMM_X86_SSE42 ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size = 8;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVSD;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPD;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDSD;
} else {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size = 4;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_MOVSS;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_XORPS;
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_MULSS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_ADDSS;
}
} else if ( i_arch <= LIBXSMM_X86_ALLFEAT ) {
io_micro_kernel_config->instruction_set = i_arch;
io_micro_kernel_config->vector_reg_count = 16;
io_micro_kernel_config->use_masking_a_c = i_use_masking_a_c;
io_micro_kernel_config->vector_name = 'x';
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size = 8;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVSD;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPD;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULSD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDSD;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231SD;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
} else {
io_micro_kernel_config->vector_length = 1;
io_micro_kernel_config->datatype_size = 4;
io_micro_kernel_config->a_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->b_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->b_shuff_instruction = LIBXSMM_X86_INSTR_UNDEF;
io_micro_kernel_config->c_vmove_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->c_vmove_nts_instruction = LIBXSMM_X86_INSTR_VMOVSS;
io_micro_kernel_config->vxor_instruction = LIBXSMM_X86_INSTR_VXORPS;
if ( i_arch == LIBXSMM_X86_AVX ) {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VMULSS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_VADDSS;
} else {
io_micro_kernel_config->vmul_instruction = LIBXSMM_X86_INSTR_VFMADD231SS;
io_micro_kernel_config->vadd_instruction = LIBXSMM_X86_INSTR_UNDEF;
}
}
} else {
/* should not happen */
}
io_micro_kernel_config->prefetch_instruction = LIBXSMM_X86_INSTR_PREFETCHT1;
io_micro_kernel_config->alu_add_instruction = LIBXSMM_X86_INSTR_ADDQ;
io_micro_kernel_config->alu_sub_instruction = LIBXSMM_X86_INSTR_SUBQ;
io_micro_kernel_config->alu_cmp_instruction = LIBXSMM_X86_INSTR_CMPQ;
io_micro_kernel_config->alu_jmp_instruction = LIBXSMM_X86_INSTR_JL;
io_micro_kernel_config->alu_mov_instruction = LIBXSMM_X86_INSTR_MOVQ;
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_add_flop_counter( libxsmm_generated_code* io_generated_code,
const libxsmm_gemm_descriptor* i_xgemm_desc ) {
if ( io_generated_code->code_type == 0 ) {
char l_new_code[512];
const unsigned int l_max_code_length = sizeof(l_new_code) - 1;
int l_code_length = 0;
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#ifndef NDEBUG\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#ifdef _OPENMP\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#pragma omp atomic\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#endif\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "libxsmm_num_total_flops += %u;\n", 2u * i_xgemm_desc->m * i_xgemm_desc->n * i_xgemm_desc->k);
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
l_code_length = LIBXSMM_SNPRINTF( l_new_code, l_max_code_length, "#endif\n" );
libxsmm_append_code_as_string( io_generated_code, l_new_code, l_code_length );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_kloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_m_blocking,
const unsigned int i_k_blocking ) {
LIBXSMM_UNUSED(i_m_blocking);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_kloop, 0);
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_kloop, i_k_blocking);
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_kloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_max_blocked_k,
const unsigned int i_kloop_complete ) {
LIBXSMM_UNUSED(i_m_blocking);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_kloop, i_max_blocked_k );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
if ( i_kloop_complete != 0 ) {
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_xgemm_desc->ldb * i_xgemm_desc->k * i_micro_kernel_config->datatype_size;
} else {
l_b_offset = i_xgemm_desc->k * i_micro_kernel_config->datatype_size;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_b, l_b_offset );
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_reduceloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_reduce_loop, 0);
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_reduceloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc) {
LIBXSMM_UNUSED(i_xgemm_desc);
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_reduce_loop, 1);
libxsmm_x86_instruction_alu_reg( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_reduce_count, i_gp_reg_mapping->gp_reg_reduce_loop);
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_nloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_n_blocking) {
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_blocking );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_mov_instruction, i_gp_reg_mapping->gp_reg_mloop, 0 );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_nloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_n_blocking,
const unsigned int i_n_done ) {
if ( LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size/2)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size/2)) );
} else if ( LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size/4)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size/4)) );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size)) );
}
/* B prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
unsigned int l_type_scaling;
if ( (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) ||
(LIBXSMM_GEMM_PRECISION_I16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) ) {
l_type_scaling = 2;
} else if ( LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
l_type_scaling = 4;
} else {
l_type_scaling = 1;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_b_prefetch,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size/l_type_scaling)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size/l_type_scaling)) );
}
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_c_prefetch,
(i_n_blocking*(i_xgemm_desc->ldc)*(i_micro_kernel_config->datatype_size)) - ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size)) );
}
#endif
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
/* handle trans B */
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_n_blocking * i_micro_kernel_config->datatype_size;
} else {
l_b_offset = i_n_blocking * i_xgemm_desc->ldb * i_micro_kernel_config->datatype_size;
}
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_help_0, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_b,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_help_0, l_b_offset );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_b,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_help_0, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
}
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
} else {
/* handle trans B */
int l_b_offset = 0;
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) > 0 ) {
l_b_offset = i_n_blocking * i_micro_kernel_config->datatype_size;
} else {
l_b_offset = i_n_blocking * i_xgemm_desc->ldb * i_micro_kernel_config->datatype_size;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_b, l_b_offset );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_a, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size)) );
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch, ((i_xgemm_desc->m)*(i_micro_kernel_config->datatype_size)) );
}
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_nloop, i_n_done );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_header_mloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const unsigned int i_m_blocking ) {
libxsmm_x86_instruction_register_jump_back_label( io_generated_code, io_loop_label_tracker );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_blocking );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_footer_mloop( libxsmm_generated_code* io_generated_code,
libxsmm_loop_label_tracker* io_loop_label_tracker,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_m_done ) {
/* advance C pointer */
if ( LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c, i_m_blocking*(i_micro_kernel_config->datatype_size/2) );
} else if ( LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c, i_m_blocking*(i_micro_kernel_config->datatype_size/4) );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c, i_m_blocking*(i_micro_kernel_config->datatype_size) );
}
/* C prefetch */
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch, i_m_blocking*(i_micro_kernel_config->datatype_size) );
}
#endif
/* B prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
unsigned int l_type_scaling;
if ( (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) ||
(LIBXSMM_GEMM_PRECISION_I16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype )) ) {
l_type_scaling = 2;
} else if ( LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
l_type_scaling = 4;
} else {
l_type_scaling = 1;
}
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_add_instruction,
i_gp_reg_mapping->gp_reg_b_prefetch, i_m_blocking*(i_micro_kernel_config->datatype_size/l_type_scaling) );
}
}
/* A prefetch */
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C) {
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2 ) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size) * (i_xgemm_desc->lda) ) -
(i_m_blocking * (i_micro_kernel_config->datatype_size)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a_prefetch,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
}
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_a_prefetch,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size) * (i_xgemm_desc->lda) ) -
(i_m_blocking * (i_micro_kernel_config->datatype_size)) );
}
}
/* advance A pointer */
if (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_ADDRESS) {
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_generator_gemm_header_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
0 );
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_help_0,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size) * (i_xgemm_desc->lda) ) - (i_m_blocking * (i_micro_kernel_config->datatype_size)) );
libxsmm_x86_instruction_alu_mem( io_generated_code,
i_micro_kernel_config->alu_mov_instruction,
i_gp_reg_mapping->gp_reg_a,
i_gp_reg_mapping->gp_reg_reduce_loop, 8,
0,
i_gp_reg_mapping->gp_reg_help_0,
1 );
libxsmm_generator_gemm_footer_reduceloop( io_generated_code, io_loop_label_tracker, i_gp_reg_mapping, i_micro_kernel_config, i_xgemm_desc);
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_reduce_loop );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_0 );
} else {
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_sub_instruction, i_gp_reg_mapping->gp_reg_a,
((i_xgemm_desc->k) * (i_micro_kernel_config->datatype_size) * (i_xgemm_desc->lda) ) - (i_m_blocking * (i_micro_kernel_config->datatype_size)) );
}
/* loop handling */
libxsmm_x86_instruction_alu_imm( io_generated_code, i_micro_kernel_config->alu_cmp_instruction, i_gp_reg_mapping->gp_reg_mloop, i_m_done );
libxsmm_x86_instruction_jump_back_to_label( io_generated_code, i_micro_kernel_config->alu_jmp_instruction, io_loop_label_tracker );
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_load_C( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_n_blocking ) {
unsigned int l_m_blocking, l_vec_reg_acc_start;
/* register blocking counter in n */
unsigned int l_n = 0;
/* register blocking counter in m */
unsigned int l_m = 0;
assert(0 < i_micro_kernel_config->vector_length);
/* deriving register blocking from kernel config */
l_m_blocking = ( i_m_blocking % i_micro_kernel_config->vector_length == 0 ) ? i_m_blocking/i_micro_kernel_config->vector_length : (i_m_blocking/i_micro_kernel_config->vector_length)+1;
/* start register of accumulator */
l_vec_reg_acc_start = i_micro_kernel_config->vector_reg_count - (i_n_blocking * l_m_blocking);
#if !defined(NDEBUG)
/* Do some test if it is possible to generate the requested code.
This is not done in release mode and therefore bad
things might happen.... HUAAH */
if (i_micro_kernel_config->instruction_set == LIBXSMM_X86_GENERIC ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE3 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE42 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX2 ) {
if ( (i_n_blocking > 3) || (i_n_blocking < 1) || (i_m_blocking < 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking != 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 6) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else {}
#if 0
if ( i_m_blocking % i_micro_kernel_config->vector_length != 0 ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_M_BLOCK );
return;
}
#endif
#endif /*!defined(NDEBUG)*/
/* load C accumulator */
if (0 == (LIBXSMM_GEMM_FLAG_BETA_0 & i_xgemm_desc->flags)) { /* Beta=1 */
/* pure BF16 kernel */
if ( ( (i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE) && (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT) ) &&
( (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* we add when scaling during conversion to FP32 */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* load 16 bit values into ymm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'y',
0, 0, 1, 0 );
}
/* convert 16 bit values into 32 bit (integer convert) */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXWD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
/* shift 16 bits to the left to generate valid FP32 numbers */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSLLD_I,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
16);
}
}
/* pure int8 kernel */
} else if ( ( (i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE) && (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT) ) &&
( (LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* we need to up convert int8 to int32 */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* load 16 bit values into xmm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU8,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/4),
'z',
0, 2, 1, 0 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/4),
'x',
0, 0, 1, 0 );
}
/* convert 8 bit values into 32 bit (integer convert) */
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED) != 0 ) {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVZXBD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
} else {
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVSXBD,
i_micro_kernel_config->vector_name,
0, l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
}
}
} else {
/* adding to C, so let's load C */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* we only mask the last m-blocked load */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
i_micro_kernel_config->c_vmove_instruction,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size),
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 1, 0 );
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
for (l_m = 0; l_m < l_m_blocking; l_m += l_m++ ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size));
}
}
#endif
}
}
} else {
/* overwriting C, so let's xout accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
/* @TODO: cannot migrate to new encoder as this is also SSE */
libxsmm_x86_instruction_vec_compute_reg( io_generated_code,
io_generated_code->arch,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n),
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n) );
}
#if 0
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_CL2 ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2CL2BL2_VIA_C ) {
for (l_m = 0; l_m < l_m_blocking; l_m += l_m++ ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_c_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size));
}
}
#endif
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_store_C( libxsmm_generated_code* io_generated_code,
const libxsmm_gp_reg_mapping* i_gp_reg_mapping,
const libxsmm_micro_kernel_config* i_micro_kernel_config,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_m_blocking,
const unsigned int i_n_blocking )
{
/* deriving register blocking from kernel config */
unsigned int l_m_blocking = ( i_m_blocking % i_micro_kernel_config->vector_length == 0 ) ? i_m_blocking/i_micro_kernel_config->vector_length : (i_m_blocking/i_micro_kernel_config->vector_length)+1;
/* register blocking counter in n */
unsigned int l_n = 0;
/* register blocking counter in m */
unsigned int l_m = 0;
/* start register of accumulator */
unsigned int l_vec_reg_acc_start = i_micro_kernel_config->vector_reg_count - (i_n_blocking * l_m_blocking);
/* select store instruction */
unsigned int l_vstore = (LIBXSMM_GEMM_FLAG_ALIGN_C_NTS_HINT == (LIBXSMM_GEMM_FLAG_ALIGN_C_NTS_HINT & i_xgemm_desc->flags)) ? i_micro_kernel_config->c_vmove_nts_instruction : i_micro_kernel_config->c_vmove_instruction;
/* @TODO fix this test */
#if !defined(NDEBUG)
if (i_micro_kernel_config->instruction_set == LIBXSMM_X86_GENERIC ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE3 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_SSE42 ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX ||
i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX2 ) {
if ( (i_n_blocking > 3) || (i_n_blocking < 1) || (i_m_blocking < 1) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set < LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (i_m_blocking != i_micro_kernel_config->vector_length) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else if ( i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE ) {
if ( (i_n_blocking > 30) || (i_n_blocking < 1) || (l_m_blocking < 1) || (l_m_blocking > 6) ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_REG_BLOCK );
return;
}
} else {}
#if 0
if ( i_m_blocking % i_micro_kernel_config->vector_length != 0 ) {
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_M_BLOCK );
return;
}
#endif
#endif
if ( ( (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_CORE) || (i_micro_kernel_config->instruction_set == LIBXSMM_X86_AVX512_CLX) ) &&
( (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* init stack with helper variables for SW-based RNE rounding */
/* push 0x7f800000 on the stack, naninf masking */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x7f800000);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00010000 on the stack, fixup masking */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00010000);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00007fff on the stack, rneadd */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00007fff);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* push 0x00000001 on the stack, fixup */
libxsmm_x86_instruction_alu_imm( io_generated_code, LIBXSMM_X86_INSTR_MOVQ, i_gp_reg_mapping->gp_reg_help_2, 0x00000001);
libxsmm_x86_instruction_push_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
/* storing downconverted and rounded C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
/* and with naninf */
libxsmm_x86_instruction_vec_compute_mem( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VPANDD,
1,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
24,
i_micro_kernel_config->vector_name,
reg_X,
0 );
/* and with fixup */
libxsmm_x86_instruction_vec_compute_mem( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VPANDD,
1,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
16,
i_micro_kernel_config->vector_name,
reg_X,
1 );
/* compute naninf mask k7 */
libxsmm_x86_instruction_vec_compute_mem_2reg_imm8( io_generated_code,
LIBXSMM_X86_INSTR_VPCMPD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
24,
1,
0,
7,
4 );
/* compute fixup mask k6 */
libxsmm_x86_instruction_vec_compute_mem_2reg_imm8( io_generated_code,
LIBXSMM_X86_INSTR_VPCMPD,
i_micro_kernel_config->vector_name,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF,
0,
16,
1,
1,
6,
0 );
/* load rneadd */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF, 0,
8,
i_micro_kernel_config->vector_name,
0, 0, 1, 0 );
/* load fixup */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
LIBXSMM_X86_GP_REG_RSP,
LIBXSMM_X86_GP_REG_UNDEF, 0,
0,
i_micro_kernel_config->vector_name,
1, 0, 1, 0 );
/* compute fixup */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
LIBXSMM_X86_INSTR_VPADDD,
i_micro_kernel_config->vector_name,
1,
0,
0,
6,
0 );
/* compute fixup */
libxsmm_x86_instruction_vec_compute_3reg_mask( io_generated_code,
LIBXSMM_X86_INSTR_VPADDD,
i_micro_kernel_config->vector_name,
0,
reg_X,
reg_X,
7,
0 );
/* shift FP32 by 16bit to right */
libxsmm_x86_instruction_vec_compute_2reg_imm8(io_generated_code,
LIBXSMM_X86_INSTR_VPSRAD_I,
i_micro_kernel_config->vector_name,
reg_X,
reg_X,
16);
/* shift FP32 by 16bit to right */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VPMOVDW,
i_micro_kernel_config->vector_name,
reg_X,
0 );
/* store 16 bit values into ymm portion of the register */
if ( (i_micro_kernel_config->use_masking_a_c != 0) && ( l_m == (l_m_blocking - 1) ) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'z',
0, 2, 0, 1 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'y',
0, 0, 0, 1 );
}
}
}
/* clean stack and restore help5 */
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
libxsmm_x86_instruction_pop_reg( io_generated_code, i_gp_reg_mapping->gp_reg_help_2 );
} else if ( ( (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT) && (i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CPX) ) &&
( (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* storing downconverted and rounded C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
unsigned int l_m_2_blocking = (l_m_blocking/2)*2;
l_m = 0;
if ( i_micro_kernel_config->use_masking_a_c != 0 ) {
for ( l_m = 0 ; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNEPS2BF16,
i_micro_kernel_config->vector_name,
reg_X, 0 );
/* store 16 bit values into ymm portion of the register */
if ( l_m == (l_m_blocking - 1) ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VMOVDQU16,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'z',
0, 2, 0, 1 );
} else {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'y',
0, 0, 0, 1 );
}
}
} else {
for (; l_m < l_m_2_blocking; l_m+=2 ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
unsigned int reg_X2 = l_vec_reg_acc_start + l_m+1 + (l_m_blocking * l_n);
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNE2PS2BF16,
i_micro_kernel_config->vector_name,
reg_X, reg_X2, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'z',
0, 0, 0, 1 );
}
for (; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTNEPS2BF16,
i_micro_kernel_config->vector_name,
reg_X, 0 );
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/2),
'y',
0, 0, 0, 1 );
}
}
}
} else if ( ( (i_micro_kernel_config->instruction_set <= LIBXSMM_X86_ALLFEAT) || (i_micro_kernel_config->instruction_set >= LIBXSMM_X86_AVX512_CORE) ) &&
( (LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && (LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) ) {
/* pick the right instrucitons */
unsigned int inst_f32_i32 = ( ( i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED ) != 0 ) ? LIBXSMM_X86_INSTR_VCVTPS2UDQ : LIBXSMM_X86_INSTR_VCVTPS2DQ;
unsigned int inst_i32_i8 = ( ( i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_C_UNSIGNED ) != 0 ) ? LIBXSMM_X86_INSTR_VPMOVUSDB : LIBXSMM_X86_INSTR_VPMOVSDB;
/* there are case where we need to load the scaling factor's address from the stack argument list */
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_BATCH_REDUCE_OFFSET) != 0 ) {
libxsmm_x86_instruction_load_arg_to_reg( io_generated_code, 0, i_gp_reg_mapping->gp_reg_scf );
}
/* loading scf into register 3 */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
LIBXSMM_X86_INSTR_VBROADCASTSS,
i_gp_reg_mapping->gp_reg_scf,
LIBXSMM_X86_GP_REG_UNDEF, 0, 0,
i_micro_kernel_config->vector_name,
3, 0, 1, 0 );
/* Zero out register 0 to perform relu */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
i_micro_kernel_config->vxor_instruction,
i_micro_kernel_config->vector_name,
0,
0,
0);
/* storing downconverted and rounded C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
unsigned int reg_X = l_vec_reg_acc_start + l_m + (l_m_blocking * l_n);
/* Convert result to F32 */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
LIBXSMM_X86_INSTR_VCVTDQ2PS,
i_micro_kernel_config->vector_name,
reg_X,
reg_X );
/* Multiply with scaling factor */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VMULPS,
i_micro_kernel_config->vector_name,
reg_X,
3,
reg_X );
/* Perform RELU */
libxsmm_x86_instruction_vec_compute_3reg( io_generated_code,
LIBXSMM_X86_INSTR_VMAXPS,
i_micro_kernel_config->vector_name,
reg_X,
0,
reg_X);
/* Round result to int32 */
libxsmm_x86_instruction_vec_compute_2reg( io_generated_code,
inst_f32_i32,
i_micro_kernel_config->vector_name,
reg_X, reg_X );
/* down-convert to int8 */
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
inst_i32_i8,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size/4),
i_micro_kernel_config->vector_name,
reg_X, ( ( l_m == (l_m_blocking - 1)) && ( i_micro_kernel_config->use_masking_a_c != 0 ) ) ? 2 : 0, 0, 1 );
}
}
} else {
/* storing C accumulator */
for ( l_n = 0; l_n < i_n_blocking; l_n++ ) {
for ( l_m = 0; l_m < l_m_blocking; l_m++ ) {
libxsmm_x86_instruction_vec_move( io_generated_code,
i_micro_kernel_config->instruction_set,
l_vstore,
i_gp_reg_mapping->gp_reg_c,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size),
i_micro_kernel_config->vector_name,
l_vec_reg_acc_start + l_m + (l_m_blocking * l_n), ( l_m == (l_m_blocking - 1) ) ? i_micro_kernel_config->use_masking_a_c : 0, 0, 1 );
}
if ( i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C ||
i_xgemm_desc->prefetch == LIBXSMM_GEMM_PREFETCH_AL2BL2_VIA_C_AHEAD ) {
if ( (i_xgemm_desc->flags & LIBXSMM_GEMM_FLAG_TRANS_B) == 0 ) {
/* determining how many prefetches we need in M direction as we just need one prefetch per cache line */
unsigned int l_m_advance = 64 / ((i_micro_kernel_config->vector_length) * (i_micro_kernel_config->datatype_size)); /* 64: hardcoded cache line length */
for (l_m = 0; l_m < l_m_blocking; l_m += l_m_advance ) {
libxsmm_x86_instruction_prefetch( io_generated_code,
i_micro_kernel_config->prefetch_instruction,
i_gp_reg_mapping->gp_reg_b_prefetch,
LIBXSMM_X86_GP_REG_UNDEF, 0,
((l_n * i_xgemm_desc->ldc) + (l_m * (i_micro_kernel_config->vector_length))) * (i_micro_kernel_config->datatype_size));
}
}
}
}
}
}
LIBXSMM_API_INTERN
void libxsmm_generator_gemm_initialize_avx512_mask( libxsmm_generated_code* io_generated_code,
const unsigned int i_gp_reg_tmp,
const libxsmm_gemm_descriptor* i_xgemm_desc,
const unsigned int i_mask_count ) {
unsigned int l_mask;
/* init full mask */
if ( LIBXSMM_GEMM_PRECISION_F64 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) {
l_mask = 0xff;
} else {
l_mask = 0xffff;
}
/* shift right by "inverse" remainder */
l_mask = l_mask >> i_mask_count;
/* move mask to GP register */
libxsmm_x86_instruction_alu_imm( io_generated_code,
LIBXSMM_X86_INSTR_MOVQ,
i_gp_reg_tmp,
l_mask );
if ( ( io_generated_code->arch >= LIBXSMM_X86_AVX512 ) && ( io_generated_code->arch <= LIBXSMM_X86_ALLFEAT ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVW_GPR_LD,
i_gp_reg_tmp,
LIBXSMM_X86_AVX512_MASK );
if ( ( LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && ( LIBXSMM_GEMM_PRECISION_BF16 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVD_GPR_LD,
i_gp_reg_tmp,
2 );
} else if ( ( LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_INP( i_xgemm_desc->datatype ) ) && ( LIBXSMM_GEMM_PRECISION_I8 == LIBXSMM_GETENUM_OUT( i_xgemm_desc->datatype ) ) ) {
libxsmm_x86_instruction_mask_move( io_generated_code,
LIBXSMM_X86_INSTR_KMOVQ_GPR_LD,
i_gp_reg_tmp,
2 );
} else {
/* no addtional mask is needed */
}
} else {
/* shouldn't happen */
LIBXSMM_HANDLE_ERROR( io_generated_code, LIBXSMM_ERR_ARCH );
return;
}
}
|
convolution_4x4.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#if __ARM_NEON
#include <arm_neon.h>
#endif // __ARM_NEON
static void conv4x4s4_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
out.fill(bias0);
for (int q=0; q<inch; q++)
{
float* outptr = out;
const float* img0 = bottom_blob.channel(q);
const float* kernel0 = kernel + p*inch*16 + q*16;
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* r3 = img0 + w*3;
#if __ARM_NEON
float32x4_t _k0123 = vld1q_f32(kernel0);
float32x4_t _k4567 = vld1q_f32(kernel0+4);
float32x4_t _k891011 = vld1q_f32(kernel0+8);
float32x4_t _k12131415 = vld1q_f32(kernel0+12);
#else
const float* k0 = kernel0;
const float* k1 = kernel0 + 4;
const float* k2 = kernel0 + 8;
const float* k3 = kernel0 + 12;
#endif // __ARM_NEON
for (int i = 0; i < outh; i++)
{
#if __ARM_NEON
int nn = outw >> 2;
int remain = outw - (nn << 2);
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r30 = vld1q_f32(r3);
float32x4_t _r01 = vld1q_f32(r0 + 4);
float32x4_t _r11 = vld1q_f32(r1 + 4);
float32x4_t _r21 = vld1q_f32(r2 + 4);
float32x4_t _r31 = vld1q_f32(r3 + 4);
float32x4_t _r02 = vld1q_f32(r0 + 8);
float32x4_t _r12 = vld1q_f32(r1 + 8);
float32x4_t _r22 = vld1q_f32(r2 + 8);
float32x4_t _r32 = vld1q_f32(r3 + 8);
float32x4_t _r03 = vld1q_f32(r0 + 12);
float32x4_t _r13 = vld1q_f32(r1 + 12);
float32x4_t _r23 = vld1q_f32(r2 + 12);
float32x4_t _r33 = vld1q_f32(r3 + 12);
float32x4_t _sum0 = vmulq_f32(_r00, _k0123);
float32x4_t _sum1 = vmulq_f32(_r01, _k0123);
float32x4_t _sum2 = vmulq_f32(_r02, _k0123);
float32x4_t _sum3 = vmulq_f32(_r03, _k0123);
_sum0 = vfmaq_f32(_sum0, _r10, _k4567);
_sum1 = vfmaq_f32(_sum1, _r11, _k4567);
_sum2 = vfmaq_f32(_sum2, _r12, _k4567);
_sum3 = vfmaq_f32(_sum3, _r13, _k4567);
_sum0 = vfmaq_f32(_sum0, _r20, _k891011);
_sum1 = vfmaq_f32(_sum1, _r21, _k891011);
_sum2 = vfmaq_f32(_sum2, _r22, _k891011);
_sum3 = vfmaq_f32(_sum3, _r23, _k891011);
_sum0 = vfmaq_f32(_sum0, _r30, _k12131415);
_sum1 = vfmaq_f32(_sum1, _r31, _k12131415);
_sum2 = vfmaq_f32(_sum2, _r32, _k12131415);
_sum3 = vfmaq_f32(_sum3, _r33, _k12131415);
float32x4_t _s01 = vpaddq_f32(_sum0, _sum1);
float32x4_t _s23 = vpaddq_f32(_sum2, _sum3);
float32x4_t _sum = vpaddq_f32(_s01, _s23);
float32x4_t _outp = vld1q_f32(outptr);
_outp = vaddq_f32(_outp, _sum);
vst1q_f32(outptr, _sum);
r0 += 16;
r1 += 16;
r2 += 16;
r3 += 16;
outptr += 4;
}
#else
if (nn > 0)
{
asm volatile(
"pld [%1, #128] \n"
"0: \n"
"pld [%2, #512] \n"
"pld [%3, #512] \n"
"vld1.f32 {d14-d15}, [%1] \n"// q7 = outptr
"vld1.f32 {d16-d17}, [%2]! \n"// q8 = r0
"vld1.f32 {d18-d19}, [%3]! \n"// q9 = r1
"pld [%4, #512] \n"
"pld [%5, #512] \n"
"vmul.f32 q12, q8, %q12 \n"
"vmul.f32 q13, q9, %q13 \n"
"vld1.f32 {d20-d21}, [%4]! \n"// q10 = r2
"vld1.f32 {d22-d23}, [%5]! \n"// q11 = r3
"vmla.f32 q12, q10, %q14 \n"
"vmla.f32 q13, q11, %q15 \n"
"vadd.f32 q5, q12, q13 \n"
"vld1.f32 {d16-d17}, [%2]! \n"// q8 = r0
"vld1.f32 {d18-d19}, [%3]! \n"// q9 = r1
"vmul.f32 q12, q8, %q12 \n"
"vmul.f32 q13, q9, %q13 \n"
"vld1.f32 {d20-d21}, [%4]! \n"// q10 = r2
"vld1.f32 {d22-d23}, [%5]! \n"// q11 = r3
"vmla.f32 q12, q10, %q14 \n"
"vmla.f32 q13, q11, %q15 \n"
"vadd.f32 q6, q12, q13 \n"
"vld1.f32 {d16-d17}, [%2]! \n"// q8 = r0
"vld1.f32 {d18-d19}, [%3]! \n"// q9 = r1
"vmul.f32 q12, q8, %q12 \n"
"vmul.f32 q13, q9, %q13 \n"
"vld1.f32 {d20-d21}, [%4]! \n"// q10 = r2
"vld1.f32 {d22-d23}, [%5]! \n"// q11 = r3
"vmla.f32 q12, q10, %q14 \n"
"vmla.f32 q13, q11, %q15 \n"
"vadd.f32 q14, q12, q13 \n"
"vld1.f32 {d16-d17}, [%2]! \n"// q8 = r0
"vld1.f32 {d18-d19}, [%3]! \n"// q9 = r1
"vmul.f32 q12, q8, %q12 \n"
"vmul.f32 q13, q9, %q13 \n"
"vld1.f32 {d20-d21}, [%4]! \n"// q10 = r2
"vld1.f32 {d22-d23}, [%5]! \n"// q11 = r3
"vmla.f32 q12, q10, %q14 \n"
"vmla.f32 q13, q11, %q15 \n"
"vadd.f32 q15, q12, q13 \n"
"vadd.f32 d10, d10, d11 \n"
"vadd.f32 d28, d28, d29 \n"
"vadd.f32 d11, d12, d13 \n"
"vadd.f32 d29, d30, d31 \n"
"vpadd.f32 d10, d10, d11 \n"
"vpadd.f32 d11, d28, d29 \n"
"vadd.f32 q7, q7, q5 \n"
"vst1.f32 {d14-d15}, [%1]! \n"
"pld [%1, #128] \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3) // %5
: "0"(nn),
"1"(outptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"w"(_k0123), // %12
"w"(_k4567), // %13
"w"(_k891011), // %14
"w"(_k12131415) // %15
: "cc", "memory", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
#if __ARM_NEON
#if __aarch64__
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r2 = vld1q_f32(r2);
float32x4_t _r3 = vld1q_f32(r3);
float32x4_t _sum = vmulq_f32(_r0, _k0123);
_sum = vmlaq_f32(_sum, _r1, _k4567);
_sum = vmlaq_f32(_sum, _r2, _k891011);
_sum = vmlaq_f32(_sum, _r3, _k12131415);
*outptr += vaddvq_f32(_sum);
#else
float sum = 0.f;
asm volatile(
"vld1.f32 {d16-d17}, [%0]! \n"// q8 = r0
"vld1.f32 {d18-d19}, [%1]! \n"// q9 = r1
"vmul.f32 q12, q8, %q9 \n"
"vmul.f32 q13, q9, %q10 \n"
"vld1.f32 {d20-d21}, [%2]! \n"// q10 = r2
"vld1.f32 {d22-d23}, [%3]! \n"// q11 = r3
"vmla.f32 q12, q10, %q11 \n"
"vmla.f32 q13, q11, %q12 \n"
"vadd.f32 q5, q12, q13 \n"
"vadd.f32 d10, d10, d11 \n"
"vpadd.f32 d10, d10, d10 \n"
"vmov.f32 %4, d10[0] \n"
: "=r"(r0), // %0
"=r"(r1), // %1
"=r"(r2), // %2
"=r"(r3), // %3
"=r"(sum) // %4
: "0"(r0),
"1"(r1),
"2"(r2),
"3"(r3),
"w"(_k0123), // %9
"w"(_k4567), // %10
"w"(_k891011), // %11
"w"(_k12131415) // %12
: "cc", "memory", "q5", "q6", "q8", "q9", "q10", "q11", "q12", "q13"
);
*outptr += sum;
#endif // __aarch64__
#else
float sum = 0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r0[3] * k0[3];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r1[3] * k1[3];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum += r2[3] * k2[3];
sum += r3[0] * k3[0];
sum += r3[1] * k3[1];
sum += r3[2] * k3[2];
sum += r3[3] * k3[3];
*outptr += sum;
#endif // __ARM_NEON
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
outptr++;
}
r0 += w * 3;
r1 += w * 3;
r2 += w * 3;
r3 += w * 3;
}
}
}
}
|
GB_unop__identity_fc64_fc32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_fc64_fc32)
// op(A') function: GB (_unop_tran__identity_fc64_fc32)
// C type: GxB_FC64_t
// A type: GxB_FC32_t
// cast: GxB_FC64_t cij = GxB_CMPLX ((double) crealf (aij), (double) cimagf (aij))
// unaryop: cij = aij
#define GB_ATYPE \
GxB_FC32_t
#define GB_CTYPE \
GxB_FC64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
GxB_FC64_t z = GxB_CMPLX ((double) crealf (aij), (double) cimagf (aij)) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC64_t z = GxB_CMPLX ((double) crealf (aij), (double) cimagf (aij)) ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FC64 || GxB_NO_FC32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_fc64_fc32)
(
GxB_FC64_t *Cx, // Cx and Ax may be aliased
const GxB_FC32_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC32_t aij = Ax [p] ;
GxB_FC64_t z = GxB_CMPLX ((double) crealf (aij), (double) cimagf (aij)) ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
GxB_FC32_t aij = Ax [p] ;
GxB_FC64_t z = GxB_CMPLX ((double) crealf (aij), (double) cimagf (aij)) ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_fc64_fc32)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
soap.c | // SPDX-License-Identifier: BSD-2-Clause
/*
Copyright 1998-1999 Bernard Parent
Copyright 2020-2021 Prasanna Thoguluva Rajendran
Redistribution and use in source and binary forms, with or without modification, are
permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of
conditions and the following disclaimer.
2. Redistributions 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.
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 COPYRIGHT HOLDER 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.
*/
#include "soap.h"
#include "printf.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <time.h>
#include <string.h>
#include <exm.h>
#include <stdarg.h>
#ifdef DISTMPI
#include "mpi.h"
#endif
#define EOS 0
#define pi 3.14159265358979323846
#define sqr(a) ((a)*(a))
#define max(a,b) ((a) > (b) ? (a) : (b))
#define min(a,b) ((a) < (b) ? (a) : (b))
#define rad(a) (((a)*pi/180.0e0))
#define deg(a) (((a)/pi*180.0e0))
#ifndef round
//#define round(a) (floor((a)+0.5e0))
#define round(a) (a<0?ceil((a)-0.5):floor((a)+0.5))
#endif
//#define longfromdouble(a) ((long)(a+0.5))
#define longfromdouble(a) ((a)>=0?(long)((a)+0.5):(long)((a)-0.5))
#define DOUBLEFORMAT "%11.11E"
/* the latter will give 12 significant numbers
when performing calculations */
/* logical operators */
#define GT 21
#define GEQ 22
#define LT 23
#define LEQ 24
#define EQ 25
#define AND 26
#define OR 27
#define NOT 28
#define NEQ 29
#define INTERPOLATE_LINEAR 1
#define INTERPOLATE_CUBICSPLINE 2
#define INTERPOLATE_CUBICSPLINEMONOTONE 3
#define maxnumlen 30
/* 30 chars are enough to store 15 significant numbers */
/* this function calls vfprintf with the same arguments
as it is given and exits.*/
int SOAP_fatal_error(SOAP_codex_t *codex, const char *formatstr, ...){
va_list ap;
char *newstr;
int retval,term_height,term_width;
newstr=(char *)malloc(10000*sizeof(char));
fprintf(stderr,"\n\n");
va_start(ap, formatstr);
vsprintf(newstr,formatstr, ap);
va_end(ap);
find_terminal_window_size(&term_width,&term_height);
fprintf(stderr,"%s",strwrp(newstr,min(term_width-1,70)));
free(newstr);
fprintf(stderr,"\n\nSOAP fatal error ");
if (codex->action_being_processed!=NULL) fprintf(stderr,"within %s() ",codex->action_being_processed);
fprintf(stderr,"in the vicinity of line %ld in file %s.\n\nExiting.\n\n",
codex->linenum,codex->filename);
exit(EXIT_FAILURE);
retval=EXIT_FAILURE;
return(retval);
}
/* cut _all characters from is to ie in *str */
void SOAP_strcut(long is, long ie, char *str){
long i;
i=is;
do {
str[i]=str[i+(ie-is)+1];
i++;
} while (str[i-1]!=EOS);
}
/* insert str1 into str2 at the position pos */
void SOAP_strins(char *str1, char **str2, long pos){
long len1,len2,i;
len1=(long)strlen(str1);
len2=(long)strlen(*str2);
*str2=(char *)realloc(*str2,(len2+len1+3)*sizeof(char));
for (i=len2; i>=pos; i--) (*str2)[i+len1]=(*str2)[i];
for (i=0; i<len1; i++) (*str2)[pos+i]=str1[i];
(*str2)[len2+len1]=EOS;
}
void SOAP_store_file_as_string(char *filename, char **str){
FILE *file;
long cnt;
file = fopen(filename, "r");
if (file==NULL) {
fprintf(stderr,"\nHaving problems opening file %s.\nExiting.\n\n",filename);
exit(EXIT_FAILURE);
}
cnt=0;
do {
*str=(char *)realloc(*str,(cnt+3)*sizeof(char));
(*str)[cnt]=fgetc(file);
cnt++;
} while (!feof(file));
fclose(file);
(*str)[cnt-1]=EOS;
}
/* returns TRUE on success, FALSE otherwise
find string str in expr following cnts
anchorL and anchorR represent the boundaries of the string*/
static bool find_str_in_str(char *expr, char *str, long cnts, long *anchorL, long *anchorR) {
long len, i, c,cnt;
len = (long)strlen(str);
i = 0;
cnt=cnts;
while(i != len){
c=expr[cnt];
cnt++;
*anchorR=cnt-1;
*anchorL=cnt-len;
if (c == EOS) return FALSE;
if (str[i] == (char)c) {
i++;
} else {
i = 0;
}
}
return(TRUE);
}
static double random_double(double minval, double maxval){
long randinput;
double tmp;
randinput=random();
tmp=(double)(randinput)/(double)(RAND_MAX)*(maxval-minval)+minval;
return(tmp);
}
/* returns true if expr[i] is a valid operator, false
otherwise */
static bool is_operator(char *expr, long i){
bool tmp;
tmp=FALSE;
if (expr[i]!=EOS) {
if ( expr[i]=='*' || expr[i]=='/' || expr[i]=='^'
|| expr[i]==GT || expr[i]==GEQ || expr[i]==LT
|| expr[i]==LEQ || expr[i]==EQ || expr[i]==AND
|| expr[i]==OR || expr[i]==NEQ) tmp=TRUE;
if ( (expr[i]=='+' || expr[i]=='-')
&& (i>0 && ((expr[i-1]>='0' && expr[i-1]<='9') || expr[i-1]=='.'))
)
tmp=TRUE;
}
return(tmp);
}
static bool is_logical(SOAP_codex_t *codex, long num){
bool tmp;
tmp=(bool)num;
if (num!=0 && num!=1) {
SOAP_fatal_error(codex,"Expecting a is_logical expression (0 or 1) but got %ld.",num);
}
return(tmp);
}
/* replaces the NOT operator '!' in *expr */
static void replace_NOT_operator(SOAP_codex_t *codex, char **expr){
long cnt,anchorL,anchorR;
char *strR;
double res;
char *res_str;
bool FOUND,res_bool;
int eos=EOS;
res_str=(char *)malloc(maxnumlen*sizeof(char));
strR=(char *)malloc(sizeof(char));
FOUND=FALSE;
do {
cnt=0;
anchorL=0;
FOUND=FALSE;
do {
if ( (*expr)[cnt]==NOT ) {
anchorL=cnt;
FOUND=TRUE;
}
cnt++;
} while ((*expr)[cnt]!=EOS);
if (FOUND) {
anchorR=anchorL+1;
do {
anchorR++;
} while ((!is_operator((*expr),anchorR)) && ((*expr)[anchorR]!=EOS));
anchorR--;
strR=(char *)realloc(strR,(anchorR-anchorL+3)*sizeof(char));
for (cnt=anchorL+1; cnt<=anchorR; cnt++)
strR[cnt-anchorL-1]=(*expr)[cnt];
strR[anchorR-anchorL]=EOS;
if (sscanf(strR,"%lg%n",&res,&eos)!=1 || strR[eos]!=EOS) {
SOAP_fatal_error(codex,"Cannot read expression >%s<.",strR);
}
res_bool=is_logical(codex,longfromdouble(res));
if (res_bool==0) strcpy(res_str,"1");
if (res_bool==1) strcpy(res_str,"0");
SOAP_strcut(anchorL,anchorR,*expr);
SOAP_strins(res_str,expr,anchorL);
}
} while (FOUND);
free(strR);
free(res_str);
}
/* evaluate a string expression in which there are no
parentheses "10*50/40^10.0E7" */
static double evaluate_arithmetic_1(SOAP_codex_t *codex, char *expr_orig){
long cnt,priority,anchor,anchorL,anchorR;
char *expr;
char *strL,*strR;
double tmp,res,numL,numR;
char *res_str;
bool SINGLENUM;
int eos=EOS;
res_str=(char *)malloc(maxnumlen*sizeof(char));
expr=(char *)malloc(((long)strlen(expr_orig)+3)*sizeof(char));
strL=(char *)malloc(sizeof(char));
strR=(char *)malloc(sizeof(char));
strcpy(expr,expr_orig);
//if (expr[0]=='-' || expr[0]=='+') SOAP_strins("0.0",&expr,0); //???
// do {
// strrep(expr, "+-", "-");
// strrep(expr, "--", "+");
// } while(strstr(expr,"--")!=NULL || strstr(expr,"+-")!=NULL);
if (expr[0]=='-' && expr[1]=='-') {
SOAP_strins("0.0",&expr,0);
}
replace_NOT_operator(codex,&expr);
SINGLENUM=FALSE;
do {
cnt=0;
priority=-2;
anchor=0;
do {
cnt++;
if (is_operator(expr,cnt)) {
if (( expr[cnt]==AND || expr[cnt]==OR) && priority<-1) {
priority=-1;
anchor=cnt;
}
if (( expr[cnt]==GT || expr[cnt]==GEQ || expr[cnt]==LT
|| expr[cnt]==LEQ || expr[cnt]==EQ || expr[cnt]==NEQ )
&& priority<0) {
priority=0;
anchor=cnt;
}
if ((expr[cnt]=='-' || expr[cnt]=='+') && priority<1) {
priority=1;
anchor=cnt;
}
if ((expr[cnt]=='*' || expr[cnt]=='/') && priority<2) {
priority=2;
anchor=cnt;
}
if ((expr[cnt]=='^') && priority<3) {
priority=3;
anchor=cnt;
}
}
} while (expr[cnt]!=EOS);
if (anchor!=0) {
anchorL=anchor;
do {
anchorL--;
} while ((!is_operator(expr,anchorL)) && (anchorL!=0));
if (anchorL!=0) anchorL++; //???
anchorR=anchor;
do {
anchorR++;
} while ((!is_operator(expr,anchorR)) && (expr[anchorR]!=EOS));
anchorR--;
strL=(char *)realloc(strL,(anchor-anchorL+3)*sizeof(char));
strR=(char *)realloc(strR,(anchorR-anchor+3)*sizeof(char));
for (cnt=anchorL; cnt<anchor; cnt++)
strL[cnt-anchorL]=expr[cnt];
strL[anchor-anchorL]=EOS;
for (cnt=anchor+1; cnt<=anchorR; cnt++)
strR[cnt-anchor-1]=expr[cnt];
strR[anchorR-anchor]=EOS;
if (sscanf(strL,"%lg%n",&numL,&eos)!=1 || strL[eos]!=EOS) {
SOAP_fatal_error(codex,"Problem reading expression >%s<.",strL);
}
if (sscanf(strR,"%lg%n",&numR,&eos)!=1 || strR[eos]!=EOS) {
SOAP_fatal_error(codex,"Problem reading expression >%s<.",strR);
}
res=0.0e0; /* to avoid compiler warning */
switch (expr[anchor]) {
case OR: if (is_logical(codex,longfromdouble(numL)) || is_logical(codex,longfromdouble(numR))) res=1.0e0; else res=0.0e0; break;
case AND: if (is_logical(codex,longfromdouble(numL)) && is_logical(codex,longfromdouble(numR))) res=1.0e0; else res=0.0e0; break;
case NEQ: if (numL!=numR) res=1.0e0; else res=0.0e0; break;
case EQ: if (numL==numR) res=1.0e0; else res=0.0e0; break;
case GEQ: if (numL>=numR) res=1.0e0; else res=0.0e0; break;
case LEQ: if (numL<=numR) res=1.0e0; else res=0.0e0; break;
case LT: if (numL<numR) res=1.0e0; else res=0.0e0; break;
case GT: if (numL>numR) res=1.0e0; else res=0.0e0; break;
case '-': res=numL-numR; break;
case '+': res=numL+numR; break;
case '*': res=numL*numR; break;
case '/': res=numL/numR; break;
case '^': res=pow(numL,numR); break;
}
sprintf(res_str,DOUBLEFORMAT,res);
SOAP_strcut(anchorL,anchorR,expr);
SOAP_strins(res_str,&expr,anchorL);
} else {
SINGLENUM=TRUE;
}
} while (!SINGLENUM);
if (sscanf(expr,"%lg%n",&tmp,&eos)!=1 || expr[eos]!=EOS) {
SOAP_fatal_error(codex,"Problem reading expression >%s<.",expr);
}
free(strL);
free(strR);
free(expr);
free(res_str);
return(tmp);
}
/* evaluate a string expression in which there are
parentheses "(10*50)/40^10.0E7" */
double SOAP_evaluate_arithmetic(SOAP_codex_t *codex, char *expr_orig){
char *expr;
char *expr2;
char *res_str;
long cnt,cnt2,anchorL,anchorR;
double res;
bool STILLSOME;
res_str=(char *)malloc(maxnumlen*sizeof(char));
expr=(char *)malloc(((long)strlen(expr_orig)+3)*sizeof(char));
expr2=(char *)malloc(((long)strlen(expr_orig)+3)*sizeof(char));
strcpy(expr,expr_orig);
/* first check if parentheses are balanced */
cnt2=0;
for (cnt=0; cnt<(long)strlen(expr); cnt++){
if (expr[cnt]=='(') cnt2++;
if (expr[cnt]==')') cnt2--;
}
if (cnt2!=0) {
SOAP_fatal_error(codex,"Parentheses not balanced: >%s<.",expr);
}
do {
/* find expr2, the expression in brackets which needs to be
evaluated first from expr and replace its value
in expr*/
STILLSOME=FALSE;
cnt=0;
anchorL=0;
do {
if (expr[cnt]=='(') {
anchorL=cnt+1;
STILLSOME=TRUE;
}
cnt++;
} while (expr[cnt]!=')' && expr[cnt]!=EOS);
anchorR=cnt-1;
expr2=(char *)realloc(expr2,((long)strlen(expr)+3)*sizeof(char));
for (cnt=anchorL; cnt<=anchorR; cnt++){
expr2[cnt-anchorL]=expr[cnt];
}
expr2[anchorR-anchorL+1]=EOS;
res=evaluate_arithmetic_1(codex,expr2);
if (STILLSOME) {
SOAP_strcut(anchorL-1,anchorR+1,expr);
sprintf(res_str,DOUBLEFORMAT,res);
SOAP_strins(res_str,&expr,anchorL-1);
}
} while (STILLSOME);
free(expr);
free(expr2);
free(res_str);
return(res);
}
/* is character a valid one for variables (or functions)? */
static bool is_part_of_var(char chr){
bool ans;
ans=FALSE;
if (chr>='a' && chr<='z') ans=TRUE;
if (chr>='A' && chr<='Z') ans=TRUE;
if (chr>='0' && chr<='9') ans=TRUE;
if (chr=='_' || chr=='.' || chr=='[' || chr==']') ans=TRUE;
return(ans);
}
/* returns TRUE on success, FALSE otherwise
find word str in expr following cnts
anchorL and anchorR represent the boundaries of the word*/
static bool find_word_in_string(char *expr, char *word, long *anchorL, long *anchorR) {
bool WORD,STR;
long cnts;
cnts=0;
do {
STR=find_str_in_str(expr, word, cnts, anchorL, anchorR);
WORD=TRUE;
if (STR) {
if (is_part_of_var(expr[*anchorR+1])) WORD=FALSE;
if (*anchorL!=0) {
if (is_part_of_var(expr[*anchorL-1])) WORD=FALSE;
}
} else {
WORD=FALSE;
}
if (!WORD) cnts++;
} while (!WORD && expr[cnts]!=EOS);
return WORD;
}
/* substitute the expressions contained in _all array elements
(between [ and ]) to their corresponding values */
static void substitute_array_elements(char **name, SOAP_codex_t *codex){
long cnt,brackets;
long anchorL,anchorR;
char *expr;
bool ENDREACHED;
expr=(char *)malloc(sizeof(char));
anchorL=0;
ENDREACHED=FALSE;
while (!ENDREACHED){
brackets=0;
do {
anchorL++;
if ((*name)[anchorL]=='[') brackets++;
if ((*name)[anchorL]==EOS) ENDREACHED=TRUE;
} while (brackets==0 && !ENDREACHED);
anchorL++;
if (!ENDREACHED) {
cnt=anchorL;
do {
cnt++;
if ((*name)[cnt]=='[') brackets++;
if ((*name)[cnt]==']') brackets--;
} while ( brackets!=0 && (*name)[cnt]!=EOS );
if ((*name)[cnt]==EOS) {
SOAP_fatal_error(codex,"Missing end of array character ] "
"in string >%s<.",*name);
}
anchorR=cnt-1;
expr=(char *)realloc(expr,(anchorR-anchorL+3)*sizeof(char));
for (cnt=anchorL; cnt<=anchorR; cnt++) expr[cnt-anchorL]=(*name)[cnt];
expr[anchorR-anchorL+1]=EOS;
SOAP_substitute_expression(&expr, codex);
SOAP_strcut(anchorL,anchorR,*name);
SOAP_strins(expr,name,anchorL);
}
}
free(expr);
}
/* substitute variables in string *expr */
static void substitute_vars(char **expr, SOAP_codex_t *codex){
long cnt,anchorL,anchorR;
char *varname,*varvalue;
/* need to set anchorL and anchorR to 0 to get rid of gcc warning */
anchorL=0;
anchorR=0;
varname=(char *)malloc(maxnumlen*sizeof(char));
varvalue=(char *)malloc(maxnumlen*sizeof(char));
/* predefined variables first */
for (cnt=0; cnt<7; cnt++){
switch (cnt) {
case 0: sprintf(varname,"pi"); sprintf(varvalue,DOUBLEFORMAT,pi); break;
case 1: sprintf(varname,"TRUE"); sprintf(varvalue,"1"); break;
case 2: sprintf(varname,"FALSE"); sprintf(varvalue,"0"); break;
case 3: sprintf(varname,"YES"); sprintf(varvalue,"1"); break;
case 4: sprintf(varname,"NO"); sprintf(varvalue,"0"); break;
case 5: sprintf(varname,"EXIT_SUCCESS"); sprintf(varvalue,"0"); break;
case 6: sprintf(varname,"EXIT_FAILURE"); sprintf(varvalue,"1"); break;
}
while (find_word_in_string(*expr, varname, &anchorL, &anchorR)){
SOAP_strcut(anchorL,anchorR,*expr);
SOAP_strins(varvalue,expr,anchorL);
}
}
/* user defined variables second */
substitute_array_elements(expr,codex);
cnt=0;
if (codex->vars[0].name!=NULL) {
do {
while (find_word_in_string(*expr, codex->vars[cnt].name, &anchorL, &anchorR)) {
SOAP_strcut(anchorL,anchorR,*expr);
SOAP_strins(codex->vars[cnt].value,expr,anchorL);
}
cnt++;
} while (codex->vars[cnt].name!=NULL);
}
free(varname);
free(varvalue);
}
/* get the nth argument and store it in *expr;
arguments are counted from 0. *expr must already
have been malloc'ed*/
static void get_argum_straight_0(SOAP_codex_t *codex, char **expr, char *argum, long n,
long *anchorL, long *anchorR){
long cnt,parentheses;
bool INSTRING;
INSTRING=FALSE;
*anchorL=0;
for (cnt=0; cnt<n; cnt++){
parentheses=0;
do {
if (argum[*anchorL]=='"') INSTRING=!INSTRING;
if (argum[*anchorL]=='(' && !INSTRING) parentheses++;
if (argum[*anchorL]==')' && !INSTRING) parentheses--;
if (argum[*anchorL]==EOS) {
SOAP_fatal_error(codex,"Reached end of string while trying to grab argument#%ld from string "
">%s<.",n+1,argum);
}
(*anchorL)++;
} while (!(argum[*anchorL]==',' && parentheses==0 && !INSTRING));
(*anchorL)++;
}
cnt=*anchorL;
parentheses=0;
INSTRING=FALSE;
do {
if (argum[cnt]=='"') INSTRING=!INSTRING;
if (argum[cnt]=='(' && !INSTRING) parentheses++;
if (argum[cnt]==')' && !INSTRING) parentheses--;
(*expr)=(char *)realloc(*expr,(cnt-(*anchorL)+3)*sizeof(char));
(*expr)[cnt-(*anchorL)]=argum[cnt];
cnt++;
} while (!(argum[cnt]==',' && parentheses==0 && !INSTRING) && argum[cnt]!=EOS);
(*anchorR)=cnt-1;
(*expr)[(*anchorR)-(*anchorL)+1]=EOS;
}
/* get the nth argument and store it in *expr;
arguments are counted from 0. *expr must already
have been malloc'ed*/
void SOAP_get_argum_straight(SOAP_codex_t *codex, char **expr, char *argum, long n){
long anchorR,anchorL;
get_argum_straight_0(codex,expr,argum,n,&anchorL,&anchorR);
}
/* get the nth argument and store what is in between
the quotes of the string in *expr;
arguments are counted from 0. *expr must already
have been malloc'ed*/
void SOAP_get_argum_string(SOAP_codex_t *codex, char **expr, char *argum, long n){
long anchorR,anchorL;
get_argum_straight_0(codex,expr,argum,n,&anchorL,&anchorR);
if ((*expr)[0]=='"') {
SOAP_strcut(0, 0, *expr);
} else {
SOAP_fatal_error(codex,"String does not start with \".");
}
if ((*expr)[strlen(*expr)-1]=='"') {
SOAP_strcut(strlen(*expr)-1, strlen(*expr)-1, *expr);
} else {
SOAP_fatal_error(codex,"String does not end with \".");
}
}
/* get the nth argument; arguments are counted from 0*/
double SOAP_get_argum_double(SOAP_codex_t *codex, char *argum, long n){
char *expr;
double tmp;
int eos = EOS;
expr=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(codex,&expr, argum, n);
if (sscanf(expr,"%lg%n",&tmp,&eos)!=1 || expr[eos]!=EOS){
SOAP_fatal_error(codex,"\"%s\" is not a float.",expr);
}
free(expr);
return(tmp);
}
/* get the nth argument; arguments are counted from 0*/
long SOAP_get_argum_long(SOAP_codex_t *codex, char *argum, long n){
char *expr;
long tmp;
int eos = EOS;
expr=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(codex,&expr, argum, n);
if (sscanf(expr,"%ld%n",&tmp,&eos)!=1 || expr[eos]!=EOS){
SOAP_fatal_error(codex,"\"%s\" is not an integer.",expr);
}
free(expr);
return(tmp);
}
/* get the nth argument; arguments are counted from 0*/
long SOAP_get_argum_bool(SOAP_codex_t *codex, char *argum, bool n){
char *expr;
long tmp;
int eos = EOS;
expr=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(codex,&expr, argum, n);
if (sscanf(expr,"%ld%n",&tmp,&eos)!=1 || expr[eos]!=EOS){
SOAP_fatal_error(codex,"\"%s\" is not a boolean.",expr);
}
if (tmp<0 || tmp>1) {
SOAP_fatal_error(codex,"\"%s\" is not a boolean.",expr);
}
free(expr);
return(tmp);
}
static void functions_builtin(char *function, char **argum,
char **returnstr, SOAP_codex_t *codex){
double tmp,returnval;
long functionnum,numargum,cnt;
int eos=EOS;
long N,Nmax,n;
int interptype;
double *f,*b,*x;
double thisx;
char *expr;
functionnum=0;
if (strcmp(function,"rad")==0) functionnum=1;
if (strcmp(function,"deg")==0) functionnum=2;
if (strcmp(function,"sin")==0) functionnum=3;
if (strcmp(function,"cos")==0) functionnum=4;
if (strcmp(function,"tan")==0) functionnum=5;
if (strcmp(function,"asin")==0) functionnum=6;
if (strcmp(function,"acos")==0) functionnum=7;
if (strcmp(function,"atan")==0) functionnum=8;
if (strcmp(function,"sqrt")==0) functionnum=9;
if (strcmp(function,"sqr")==0) functionnum=10;
if (strcmp(function,"exp")==0) functionnum=11;
if (strcmp(function,"ln")==0) functionnum=12;
if (strcmp(function,"round")==0) functionnum=13;
if (strcmp(function,"floor")==0) functionnum=14;
if (strcmp(function,"abs")==0) functionnum=15;
if (strcmp(function,"sinh")==0) functionnum=16;
if (strcmp(function,"cosh")==0) functionnum=17;
if (strcmp(function,"tanh")==0) functionnum=18;
if (strcmp(function,"asinh")==0) functionnum=19;
if (strcmp(function,"acosh")==0) functionnum=20;
if (strcmp(function,"atanh")==0) functionnum=21;
if (functionnum>0 && functionnum<22) {
SOAP_substitute_all_argums(argum, codex);
if (sscanf(*argum,"%lg%n",&tmp,&eos)!=1 || (*argum)[eos]!=EOS)
SOAP_fatal_error(codex,"Problem evaluating expression >%s<.",*argum);
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
returnval=0.0e0; /* to avoid compiler warning only */
switch (functionnum) {
case 1: returnval=rad(tmp); break;
case 2: returnval=deg(tmp); break;
case 3: returnval=sin(tmp); break;
case 4: returnval=cos(tmp); break;
case 5: returnval=tan(tmp); break;
case 6: returnval=asin(tmp); break;
case 7: returnval=acos(tmp); break;
case 8: returnval=atan(tmp); break;
case 9: returnval=sqrt(tmp); break;
case 10: returnval=sqr(tmp); break;
case 11: returnval=exp(tmp); break;
case 12: returnval=log(tmp); break;
case 13: returnval=round(tmp); break;
case 14: returnval=floor(tmp); break;
case 15: returnval=fabs(tmp); break;
case 16: returnval=sinh(tmp); break;
case 17: returnval=cosh(tmp); break;
case 18: returnval=tanh(tmp); break;
case 19: returnval=asinh(tmp); break;
case 20: returnval=acosh(tmp); break;
case 21: returnval=atanh(tmp); break;
}
sprintf(*returnstr,DOUBLEFORMAT,returnval);
}
if (strcmp(function,"min")==0) {
SOAP_substitute_all_argums(argum, codex);
numargum=SOAP_number_argums(*argum);
returnval=SOAP_get_argum_double(codex,*argum,0);
for (cnt=1; cnt<numargum; cnt++)
returnval=min(returnval,SOAP_get_argum_double(codex,*argum,cnt));
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,returnval);
}
if (strcmp(function,"max")==0) {
SOAP_substitute_all_argums(argum, codex);
numargum=SOAP_number_argums(*argum);
returnval=SOAP_get_argum_double(codex,*argum,0);
for (cnt=1; cnt<numargum; cnt++)
returnval=max(returnval,SOAP_get_argum_double(codex,*argum,cnt));
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,returnval);
}
if (strcmp(function,"random")==0) {
SOAP_substitute_all_argums(argum, codex);
returnval=random_double(SOAP_get_argum_double(codex,*argum,0),SOAP_get_argum_double(codex,*argum,1));
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,returnval);
}
if (strcmp(function,"mod")==0) {
SOAP_substitute_all_argums(argum, codex);
returnval=mod(longfromdouble(SOAP_get_argum_double(codex,*argum,0)),longfromdouble(SOAP_get_argum_double(codex,*argum,1)));
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,returnval);
}
if (strcmp(function,"krodelta")==0) {
SOAP_substitute_all_argums(argum, codex);
returnval=krodelta(longfromdouble(SOAP_get_argum_double(codex,*argum,0)),longfromdouble(SOAP_get_argum_double(codex,*argum,1)));
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,returnval);
}
if (strcmp(function,"defined")==0) {
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
if (sscanf(*argum,"%lg%n",&tmp,&eos)==1 && (*argum)[eos]==EOS) strcpy(*returnstr,"1");
else strcpy(*returnstr,"0");
}
if (strcmp(function,"interpolate")==0) {
N=SOAP_number_argums(*argum);
if (mod(N,2)!=0) SOAP_fatal_error(codex,"Number of arguments to interpolate() must be an even number.");
N=N/2-1;
Nmax=9223372036854775807/sizeof(double);
if (N>=Nmax) SOAP_fatal_error(codex,"N can not be greater than %ld in interpolate function part of functions_builtin in soap.c",Nmax);
// this line is needed to remove compilation error
N=min(9223372036854775807/sizeof(double),N);
x=(double *)malloc(N*sizeof(double));
f=(double *)malloc(N*sizeof(double));
expr=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(codex,&expr, *argum, 0);
if (strcmp(expr,"INTERPOLATE_LINEAR")==0) interptype=INTERPOLATE_LINEAR;
else if (strcmp(expr,"INTERPOLATE_CUBICSPLINE")==0) interptype=INTERPOLATE_CUBICSPLINE;
else if (strcmp(expr,"INTERPOLATE_CUBICSPLINEMONOTONE")==0) interptype=INTERPOLATE_CUBICSPLINEMONOTONE;
else SOAP_fatal_error(codex,"%s is not a supported interpolation method. Please input INTERPOLATE_LINEAR, INTERPOLATE_CUBICSPLINE or INTERPOLATE_CUBICSPLINEMONOTONE as the first argument to interpolate().",expr);
for (n=0; n<N; n++) {
SOAP_substitute_argum(argum, n*2+1, codex);
x[n]=SOAP_get_argum_double(codex, *argum, n*2+1);
SOAP_substitute_argum(argum, n*2+2, codex);
f[n]=SOAP_get_argum_double(codex, *argum, n*2+2);
}
/* check if data points are valid (x[n+1]>x[n]) */
for (n=0; n<N-1; n++){
if (x[n+1]<=x[n]) SOAP_fatal_error(codex, "Data points supplied to interpolate() must be such that x[i+1]>x[i].");
}
SOAP_substitute_argum(argum, N*2+1, codex);
thisx=SOAP_get_argum_double(codex, *argum, N*2+1);
/* check if point is out of range */
if (thisx<x[0] || thisx>x[N-1]) SOAP_fatal_error(codex, "Ensure that x lies between x[0] and x[N] in interpolate().");
switch(interptype){
case INTERPOLATE_LINEAR: //linear interpolation
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,EXM_f_from_line(N, x, f, thisx));
break;
case INTERPOLATE_CUBICSPLINE: //cubic spline interpolation
b=(double *)malloc(N*sizeof(double));
EXM_find_spline(N, x, f, b);
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,EXM_f_from_spline(N, x, f, b, thisx));
free(b);
break;
case INTERPOLATE_CUBICSPLINEMONOTONE: //monotone cubic spline interpolation
*returnstr=(char *)realloc(*returnstr,maxnumlen*sizeof(char));
sprintf(*returnstr,DOUBLEFORMAT,EXM_f_from_monotonespline(N, x, f, thisx));
break;
default:
SOAP_fatal_error(codex,"Invalid choice for interptype in functions_builtin() part of soap.c");
}
free(x);
free(f);
free(expr);
}
}
static void substitute_functions(char **expr, SOAP_codex_t *codex){
long cnt,anchorLL,anchorL,anchorR,parentheses;
bool FOUND;
char *function,*argum,*returnstr;
returnstr=(char *)malloc(sizeof(char));
do {
cnt=0;
anchorL=0;
FOUND=FALSE;
do {
cnt++;
if ((*expr)[cnt]=='(' && is_part_of_var((*expr)[cnt-1])) {
FOUND=TRUE;
anchorL=cnt;
}
} while ((*expr)[cnt]!=EOS);
if (FOUND) {
cnt=anchorL;
do {
cnt--;
} while (cnt>0 && is_part_of_var((*expr)[cnt-1]) );
anchorLL=cnt;
cnt=anchorL;
parentheses=0;
do {
if ((*expr)[cnt]=='"') SOAP_fatal_error(codex,"Found a quote inside an expression.");
if ((*expr)[cnt]=='(') parentheses++;
if ((*expr)[cnt]==')') parentheses--;
cnt++;
} while (parentheses!=0);
anchorR=cnt-1;
function=(char *)malloc((anchorL-anchorLL+4)*sizeof(char));
argum=(char *)malloc((anchorR-anchorL+4)*sizeof(char));
for (cnt=anchorLL; cnt<anchorL; cnt++)
function[cnt-anchorLL]=(*expr)[cnt];
function[anchorL-anchorLL]=EOS;
for (cnt=anchorL+1; cnt<anchorR; cnt++)
argum[cnt-anchorL-1]=(*expr)[cnt];
argum[anchorR-anchorL-1]=EOS;
returnstr=(char *)realloc(returnstr,(3+(long)strlen(function))*sizeof(char));
strcpy(returnstr,function);
if (codex->FUNCTION) (codex->function)(function,&argum,&returnstr,codex);
functions_builtin(function, &argum, &returnstr, codex);
SOAP_strcut(anchorLL,anchorR,*expr);
SOAP_strins(returnstr,expr,anchorLL);
free(argum);
free(function);
}
} while (FOUND);
free(returnstr);
}
bool SOAP_is_double_a_long(double expr_double){
double expr_double2;
long expr_long;
bool RET;
expr_long=(long)expr_double;
expr_double2=(double)expr_long;
if (expr_double2!=expr_double) RET=FALSE; else RET=TRUE;
return(RET);
}
/* evaluate the expr **expr and substitute it for
the number it stands for. This includes evaluating
the variables, the functions and finally the arithmetic */
void SOAP_substitute_expression(char **expr, SOAP_codex_t *codex){
double expr_double;
char *expr_str;
expr_str=(char *)malloc(maxnumlen*sizeof(char));
substitute_vars(expr, codex);
substitute_functions(expr, codex);
expr_double=SOAP_evaluate_arithmetic(codex,*expr);
(*expr)[0]=EOS;
if (!SOAP_is_double_a_long(expr_double)){
sprintf(expr_str,DOUBLEFORMAT,expr_double);
SOAP_strins(expr_str,expr,0);
} else {
sprintf(expr_str,"%ld",(long)expr_double);
SOAP_strins(expr_str,expr,0);
}
free(expr_str);
}
/* in the given *expr, substitute the string comparisons,
like "bernard"=="jeny" would be evaluated to false,
and substituted by 0 */
void SOAP_substitute_string_arithmetic(char **expr, SOAP_codex_t *codex){
char *leftstring;
char *rightstring;
long cnt,anchor,anchorL,anchorR;
bool INSTRING;
int strcmp_ret;
char newexpr[2];
if (strlen(*expr)>4) {
anchor=0;
if ((*expr)[0]=='"') INSTRING=TRUE; else INSTRING=FALSE;
do {
anchor++;
if ((*expr)[anchor]=='"') INSTRING=!INSTRING;
if ( ((*expr)[anchor]==EQ || (*expr)[anchor]==NEQ
|| (*expr)[anchor]==LT || (*expr)[anchor]==GT
|| (*expr)[anchor]==GEQ || (*expr)[anchor]==LEQ)
&& (*expr)[anchor-1]=='"' && (*expr)[anchor+1]=='"' && !INSTRING) {
/* first find left string */
anchorL=anchor-1;
do {
anchorL--;
} while ((*expr)[anchorL]!='"' && anchorL>0);
if ((*expr)[anchorL]!='"') SOAP_fatal_error(codex,"Problem in subroutine SOAP_StringArith(2).");
leftstring=(char *)malloc(sizeof(char)*(anchor-anchorL+2));
for (cnt=anchorL+1; cnt<anchor-1; cnt++){
leftstring[cnt-anchorL-1]=(*expr)[cnt];
}
leftstring[anchor-anchorL-2]=EOS;
/* find right string */
anchorR=anchor+1;
do {
(anchorR)++;
} while ((*expr)[anchorR]!='"' && (*expr)[anchorR]!=EOS);
if ((*expr)[anchorR]!='"') SOAP_fatal_error(codex,"Problem in subroutine SOAP_StringArith(3).");
rightstring=(char *)malloc(sizeof(char)*(anchorR-anchor+2));
for (cnt=anchor+2; cnt<anchorR; cnt++){
rightstring[cnt-anchor-2]=(*expr)[cnt];
}
rightstring[anchorR-anchor-2]=EOS;
/* printf("leftstring=>%s< rightstring=>%s<\n",leftstring,rightstring); */
/* compare the two strings and find newexpr */
strcmp_ret=strcmp(leftstring,rightstring);
switch ((*expr)[anchor]) {
case EQ: if (strcmp_ret==0) (newexpr)[0]='1'; else (newexpr)[0]='0';
break;
case NEQ: if (strcmp_ret!=0) (newexpr)[0]='1'; else (newexpr)[0]='0';
break;
case LT: if (strcmp_ret<0) (newexpr)[0]='1'; else (newexpr)[0]='0';
break;
case GT: if (strcmp_ret>0) (newexpr)[0]='1'; else (newexpr)[0]='0';
break;
case LEQ: if (strcmp_ret<=0) (newexpr)[0]='1'; else (newexpr)[0]='0';
break;
case GEQ: if (strcmp_ret>=0) (newexpr)[0]='1'; else (newexpr)[0]='0';
break;
}
(newexpr)[1]=EOS;
SOAP_strcut(anchorL,anchorR,*expr);
SOAP_strins(newexpr, expr, anchorL);
anchor=anchorL;
free(leftstring);
free(rightstring);
}
} while ((*expr)[anchor+1]!=EOS);
}
}
/* evaluate the expr **expr and substitute it for
the number it stands for. This includes evaluating
the variables, the functions and finally the arithmetic of all
sub-expressions outside of the strings. Sub-expressions which are
strings are left untouched. If some sub-expressions are strings,
then the final expression is made into a string*/
void SOAP_substitute_expression_including_strings(char **expr, SOAP_codex_t *codex){
long anchorL, anchorR, cnt, pass;
char *exprtmp;
bool QUOTEFOUND,INSTRING;
for (pass=1; pass<=2; pass++){
if (pass==2) SOAP_substitute_string_arithmetic(expr,codex);
anchorL=0;
do {
/* find the anchorL and anchorR corresponding to non-string */
anchorL--;
INSTRING=FALSE;
do {
anchorL++;
if ((*expr)[anchorL]=='"') INSTRING=!INSTRING;
} while (INSTRING || (*expr)[anchorL]=='"');
anchorR=anchorL;
if ((*expr)[anchorR]!=EOS){
do {
anchorR++;
} while ((*expr)[anchorR]!='"' && (*expr)[anchorR]!=EOS);
anchorR--;
}
/* substitute variables or expressions*/
if ((*expr)[anchorL]!=EOS) {
exprtmp=(char *)malloc(sizeof(char)*(anchorR-anchorL+3));
for (cnt=anchorL; cnt<=anchorR; cnt++) exprtmp[cnt-anchorL]=(*expr)[cnt];
exprtmp[anchorR-anchorL+1]=EOS;
if (pass==1) substitute_vars(&exprtmp, codex);
if (pass==2) SOAP_substitute_expression(&exprtmp, codex);
SOAP_strcut(anchorL,anchorR,*expr);
SOAP_strins(exprtmp, expr, anchorL);
anchorL+=strlen(exprtmp);
free(exprtmp);
}
} while ((*expr)[anchorL]!=EOS);
}
/* clean up _all quotes and, if quotes were found, add quotes at end and start of *expr */
anchorL=0;
QUOTEFOUND=FALSE;
do {
if ((*expr)[anchorL]=='"') {
SOAP_strcut(anchorL,anchorL,*expr);
anchorL--;
QUOTEFOUND=TRUE;
}
anchorL++;
} while((*expr)[anchorL]!=EOS);
if (QUOTEFOUND) {
SOAP_strins("\"", expr, 0);
SOAP_strins("\"", expr, strlen(*expr));
}
}
/* sub the expression located in nth argument
with SOAP_substitute_expression; arguments are counted from 0*/
void SOAP_substitute_argum(char **argum, long n, SOAP_codex_t *codex){
char *expr;
long anchorL,anchorR;
expr=(char *)malloc((long)(strlen(*argum)+3)*sizeof(char));
get_argum_straight_0(codex,&expr, *argum, n, &anchorL, &anchorR);
SOAP_substitute_expression_including_strings(&expr, codex);
SOAP_strcut(anchorL,anchorR,*argum);
SOAP_strins(expr,argum,anchorL);
free(expr);
}
/* returns the number of arguments */
long SOAP_number_argums(char *argum){
long cnt,commas,parentheses;
bool INSTRING;
if (strlen(argum)==0) {
commas=0;
} else {
cnt=0;
commas=0;
parentheses=0;
INSTRING=FALSE;
do {
if (argum[cnt]=='"') INSTRING=!INSTRING;
if (argum[cnt]==',' && parentheses==0 && !INSTRING) commas++;
if (argum[cnt]=='(' && !INSTRING) parentheses++;
if (argum[cnt]==')' && !INSTRING) parentheses--;
cnt++;
} while(argum[cnt]!=EOS);
commas++;
}
return(commas);
}
void SOAP_substitute_all_argums(char **argum, SOAP_codex_t *codex){
long cnt,numargum;
numargum=SOAP_number_argums(*argum);
for (cnt=0; cnt<numargum; cnt++) SOAP_substitute_argum(argum, cnt, codex);
}
/*
static void ShowCode(char *code){
long cnt;
printf("code starts here -->");
for (cnt=0; cnt<(long)strlen(code); cnt++){
printf("%c",code[cnt]);
}
printf("<-- code ended there\n");
fflush(stdout);
}*/
static void delete_character(long cnt, char *code){
long cnt2;
long codelength;
codelength=(long)strlen(code);
for (cnt2=cnt+1; cnt2<codelength; cnt2++)
code[cnt2-1]=code[cnt2];
code[codelength-1]=EOS;
}
static void clean_comments(SOAP_codex_t *codex, char *code){
long cnt;
long parentheses,anchorL,anchorR;
bool INSTRING;
char *lastnewline;
cnt=0;
parentheses=0;
anchorL=0;
INSTRING=FALSE;
while (code[cnt]!=EOS) {
if (code[cnt]=='"') INSTRING=!INSTRING;
if (code[cnt]=='{' && !INSTRING) {
parentheses++;
if (parentheses==1) anchorL=cnt;
}
if (code[cnt]=='}' && !INSTRING) {
parentheses--;
if (parentheses==0) {
anchorR=cnt;
SOAP_strcut(anchorL,anchorR,code);
cnt=cnt-(anchorR-anchorL+1);
}
if (parentheses==-1){
code[cnt]=EOS;
lastnewline=code;
while( (code = strstr(code,"__newline"))){
lastnewline = code++;
}
if (sscanf(lastnewline,"__newline(%ld)",&(codex->linenum))!=1) codex->linenum=-1;
SOAP_fatal_error(codex,"Comment closed but not opened.");
}
}
cnt++;
}
if (code[cnt]==EOS && INSTRING) {
lastnewline=code;
while( (code = strstr(code,"__newline"))){
lastnewline = code++;
}
if (sscanf(lastnewline,"__newline(%ld)",&(codex->linenum))!=1) codex->linenum=-1;
SOAP_fatal_error(codex,"String not closed properly.");
}
if (code[cnt]==EOS && parentheses!=0) {
lastnewline=code;
while( (code = strstr(code,"__newline"))){
lastnewline = code++;
}
if (sscanf(lastnewline,"__newline(%ld)",&(codex->linenum))!=1) codex->linenum=-1;
SOAP_fatal_error(codex,"Comment not closed properly.");
}
}
/* only insert the __newline(); action in front of an action*/
void SOAP_insert_line_numbers_in_code_backward(char **code, long linenum_start){
long cnt,linenum,linenum2,cnt2,parentheses,commentbrackets;
char *newlinestr;
bool INSTRING,INSTRING2,CONTINUE;
newlinestr=(char *)malloc(sizeof(char)*100);
cnt=0;
linenum=linenum_start;
sprintf(newlinestr,"__newline(%ld);",linenum);
SOAP_strins(newlinestr, code, cnt);
cnt=cnt+strlen(newlinestr);
INSTRING=FALSE;
commentbrackets=0;
CONTINUE=TRUE;
do {
if ((*code)[cnt]=='"') INSTRING=!INSTRING;
if ((*code)[cnt]=='{') commentbrackets++;
if ((*code)[cnt]=='}') commentbrackets--;
if ((*code)[cnt]=='\n') linenum++;
if ((*code)[cnt]==';' && !INSTRING && commentbrackets==0) {
/* here, go back to previous ; or , or ( making sure parentheses is zero
and not in a string */
cnt2=cnt;
linenum2=linenum;
parentheses=0;
INSTRING2=FALSE;
do {
cnt2--;
if ((*code)[cnt2]=='\n') linenum2--;
if ((*code)[cnt2+1]=='(' && !INSTRING2 && commentbrackets==0) parentheses--;
if ((*code)[cnt2+1]==')' && !INSTRING2 && commentbrackets==0) parentheses++;
if ((*code)[cnt2+1]=='"') INSTRING2=!INSTRING2;
if ((*code)[cnt2+1]=='{') commentbrackets--;
if ((*code)[cnt2+1]=='}') commentbrackets++;
if (cnt2<0) {
CONTINUE=FALSE;
/* fprintf(stderr,"\n\nproblem inserting line numbers aroung line %ld\n\n",linenum);
exit(EXIT_FAILURE); */
}
} while (CONTINUE && (((*code)[cnt2]!='(' && (*code)[cnt2]!=';' && (*code)[cnt2]!=',' && cnt2!=0)
|| INSTRING2 || parentheses!=0 || commentbrackets!=0));
/* then, do this */
if (CONTINUE){
do {
cnt2++;
if ((*code)[cnt2]=='\n') linenum2++;
if ((*code)[cnt2]=='{') commentbrackets++;
if ((*code)[cnt2-1]=='}') commentbrackets--;
if ((*code)[cnt2]==EOS) {
CONTINUE=FALSE;
/* fprintf(stderr,"\n\nproblem inserting line numbers aroung line %ld\n\n",linenum);
exit(EXIT_FAILURE); */
}
} while(CONTINUE && ((*code)[cnt2]==' ' || (*code)[cnt2]=='\n'
|| (*code)[cnt2]=='\t' || (*code)[cnt2]==13 || commentbrackets!=0));
if (CONTINUE){
sprintf(newlinestr,"__newline(%ld);",linenum2);
SOAP_strins(newlinestr, code, cnt2);
cnt=cnt+strlen(newlinestr);
commentbrackets=0;
}
}
}
cnt++;
} while((*code)[cnt]!=EOS && CONTINUE);
}
/* insert the __newline(); action at all newlines */
void SOAP_insert_line_numbers_in_code(char **code, long linenum_start){
long cnt,linenum,linenumwritten,commentbrackets;
char *newlinestr;
bool INSTRING;
newlinestr=(char *)malloc(sizeof(char)*1000);
linenum=linenum_start;
sprintf(newlinestr,"__newline(%ld);",linenum);
SOAP_strins(newlinestr, code, 0);
//SOAP_insert_line_numbers_in_code_backward(code, linenum_start);
/* add a __newline() command after each ';' followed by spaces, tabs or new lines */
cnt=0;
INSTRING=FALSE;
commentbrackets=0;
linenumwritten=-1;
do {
if ((*code)[cnt]=='"') INSTRING=!INSTRING;
if ((*code)[cnt]=='{') commentbrackets++;
if ((*code)[cnt]=='}') commentbrackets--;
if ((*code)[cnt]=='\n') linenum++;
if ((*code)[cnt]==';' && !INSTRING && commentbrackets==0) {
while ((*code)[cnt+1]=='\n' || (*code)[cnt+1]==' ' || (*code)[cnt+1]=='\t' || (*code)[cnt+1]=='{'){
if ((*code)[cnt+1]=='{') {
commentbrackets++;
while (commentbrackets>0 && (*code)[cnt+2]!=EOS) {
cnt++;
if ((*code)[cnt+1]=='{') commentbrackets++;
if ((*code)[cnt+1]=='\n') linenum++;
if ((*code)[cnt+1]=='}') commentbrackets--;
/* if ((*code)[cnt+1]==EOS) {
fprintf(stderr,"\n\nComment not closed properly. SOAP fatal error in the vicinity of line %ld.\n\nExiting.\n\n",linenum);
exit(EXIT_FAILURE);
}*/
}
// at this point, (*code)[cnt+1]='}'
}
if ((*code)[cnt+1]=='\n') {
linenum++;
sprintf(newlinestr,"__newline(%ld);",linenum);
linenumwritten=linenum;
if ((*code)[cnt+2]!=EOS) {
SOAP_strins(newlinestr, code, cnt+2);
cnt+=strlen(newlinestr);
}
}
cnt++;
}
if (linenum!=linenumwritten) {
sprintf(newlinestr,"__newline(%ld);",linenum);
if ((*code)[cnt+1]!=EOS) SOAP_strins(newlinestr, code, cnt+1);
cnt=cnt+strlen(newlinestr);
}
}
cnt++;
} while((*code)[cnt]!=EOS);
free(newlinestr);
//printf("%s",*code);
}
static void clean_code(SOAP_codex_t *codex, char *code){
long cnt;
bool WINDOWS,INSTRING;
clean_comments(codex,code);
cnt=0;
WINDOWS=FALSE;
INSTRING=FALSE;
while (code[cnt]!=EOS) {
if (code[cnt]=='"') INSTRING=!INSTRING;
if (!INSTRING) {
if (code[cnt]=='=' && code[cnt+1]=='=') {
code[cnt]=EQ;
code[cnt+1]=' ';
}
if (code[cnt]=='!' && code[cnt+1]=='=') {
code[cnt]=NEQ;
code[cnt+1]=' ';
}
if (code[cnt]=='>' && code[cnt+1]=='=') {
code[cnt]=GEQ;
code[cnt+1]=' ';
}
if (code[cnt]=='<' && code[cnt+1]=='=') {
code[cnt]=LEQ;
code[cnt+1]=' ';
}
if (code[cnt]=='&' && code[cnt+1]=='&') {
code[cnt]=AND;
code[cnt+1]=' ';
}
if (code[cnt]=='|' && code[cnt+1]=='|') {
code[cnt]=OR;
code[cnt+1]=' ';
}
if (code[cnt]=='<') code[cnt]=LT;
if (code[cnt]=='>') code[cnt]=GT;
if (code[cnt]=='!') code[cnt]=NOT;
}
if (code[cnt]==13) WINDOWS=TRUE;
if (( code[cnt]==' '
|| code[cnt]=='\n'
|| code[cnt]=='\t'
|| code[cnt]==13
) && (!INSTRING)
) delete_character(cnt,code);
else cnt++;
}
if (WINDOWS)
fprintf(stdout,"Your code contains some DOS(TM) end-of-line characters (#13). \n");
if (INSTRING) fprintf(stdout,"String not closed properly.\n");
}
/* update the variable named *name to the value
specified in *argum */
static void update_var(char **name, char **argum, SOAP_codex_t *codex){
long cnt;
bool FOUND;
substitute_array_elements(name,codex);
SOAP_substitute_argum(argum,0,codex);
cnt=0;
FOUND=FALSE;
if ((codex->vars)[0].name!=NULL) {
do {
if (strcmp(*name,(codex->vars)[cnt].name)==0) {
FOUND=TRUE;
(codex->vars)[cnt].value=(char *)realloc((codex->vars)[cnt].value,
((long)strlen(*argum)+3)*sizeof(char));
strcpy((codex->vars)[cnt].value,*argum);
}
cnt++;
} while ((codex->vars)[cnt].name!=NULL);
}
if (!FOUND) {
codex->vars=(SOAP_vars_t *)realloc(codex->vars,(cnt+5)*sizeof(SOAP_vars_t));
(codex->vars)[cnt].name=(char *)malloc(((long)strlen(*name)+3)*sizeof(char));
(codex->vars)[cnt].value=(char *)malloc(((long)strlen(*argum)+3)*sizeof(char));
strcpy((codex->vars)[cnt].name,*name);
strcpy((codex->vars)[cnt].value,*argum);
(codex->vars)[cnt+1].name=NULL;
}
}
/* the builtin actions */
static void BA_write(char **argum, SOAP_codex_t *codex, bool NEWLINE){
if (codex->SCREENOUTPUT) {
SOAP_substitute_all_argums(argum,codex);
fprintf(stdout,"%s",*argum);
if (NEWLINE) fprintf(stdout,"\n");
fflush(stdout);
}
}
static void BA_printf(char **argum, SOAP_codex_t *codex){
long cnt,numargum,cnt2;
char **argv;
numargum=SOAP_number_argums(*argum);
if (numargum<1) SOAP_fatal_error(codex,"Number of arguments given to printf must be at least 1.");
assert(numargum>0);
for (cnt=0; cnt<numargum; cnt++) SOAP_substitute_argum(argum,cnt,codex);
argv=(char **)malloc(numargum*sizeof(char *));
for (cnt=0; cnt<numargum; cnt++){
argv[cnt]=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(codex,&(argv[cnt]), *argum, cnt);
}
for (cnt=0; cnt<numargum; cnt++){
cnt2=0;
do {
if (argv[cnt][cnt2]=='"') {
SOAP_strcut(cnt2,cnt2,argv[cnt]);
cnt2--;
}
cnt2++;
} while (argv[cnt][cnt2]!=EOS);
}
/* send everything to printf, to printf to stdout */
if (codex->SCREENOUTPUT) SOAP_printf((int)numargum,argv,stdout);
/* free pointers */
for (cnt=0; cnt<numargum; cnt++) free(argv[cnt]);
free(argv);
}
static void BA_fprintf(char **argum, SOAP_codex_t *codex){
long numargum,cnt,cnt2;
FILE *stream;
char **argv;
char *filename;
numargum=SOAP_number_argums(*argum);
if (numargum<2) SOAP_fatal_error(codex,"Number of arguments given to fprintf must be at least 2: the filename and the string to print.");
assert(numargum>1);
for (cnt=0; cnt<numargum; cnt++) SOAP_substitute_argum(argum,cnt,codex);
argv=(char **)malloc(numargum*sizeof(char *));
for (cnt=1; cnt<numargum; cnt++){
argv[cnt-1]=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(codex,&(argv[cnt-1]), *argum, cnt);
}
for (cnt=1; cnt<numargum; cnt++){
cnt2=0;
do {
if (argv[cnt-1][cnt2]=='"') {
SOAP_strcut(cnt2,cnt2,argv[cnt-1]);
cnt2--;
}
cnt2++;
} while (argv[cnt-1][cnt2]!=EOS);
}
filename=(char *)malloc(sizeof(char));
SOAP_get_argum_string(codex, &filename, *argum, 0);
if (codex->FILEOUTPUT) {
/* here, append to the file named in the first argument */
stream=fopen(filename,"a");
/* send everything to printf*/
SOAP_printf((int)numargum-1,argv,stream);
fclose(stream);
}
/* free pointers */
for (cnt=1; cnt<numargum; cnt++) free(argv[cnt-1]);
free(filename);
free(argv);
}
static void BA_for(char **argum, SOAP_codex_t *codex){
char *cntstr,*loopcode,*cntstr2;
long cnts,cnte,cnt;
if (SOAP_number_argums(*argum)!=4)
SOAP_fatal_error(codex,"the for() command needs 4 arguments: "
"the first argument is the counter variable name; "
"the second argument is the start of the counting (integer); "
"the third argument is the end of the counting (integer); "
"the fourth argument is the code to be executed at every count.");
cntstr=(char *)malloc(sizeof(char));
cntstr2=(char *)malloc(sizeof(char));
loopcode=(char *)malloc(sizeof(char));
SOAP_substitute_argum(argum,1,codex);
SOAP_substitute_argum(argum,2,codex);
cnts=SOAP_get_argum_long(codex,*argum,1);
cnte=SOAP_get_argum_long(codex,*argum,2);
SOAP_get_argum_straight(codex,&cntstr,*argum,0);
SOAP_get_argum_straight(codex,&loopcode, *argum, 3);
if (cnts<=cnte) {
for (cnt=cnts; cnt<=cnte; cnt++){
/* change value of cntstr to cntstr2 in variables */
cntstr2=(char *)realloc(cntstr2,maxnumlen*sizeof(char));
sprintf(cntstr2,"%ld",cnt);
update_var(&cntstr, &cntstr2, codex);
SOAP_process_code(loopcode, codex, SOAP_VARS_KEEP_ALL);
}
} else {
for (cnt=cnts; cnt>=cnte; cnt--){
/* change value of cntstr to cntstr2 in variables */
cntstr2=(char *)realloc(cntstr2,maxnumlen*sizeof(char));
sprintf(cntstr2,"%ld",cnt);
update_var(&cntstr, &cntstr2, codex);
SOAP_process_code(loopcode, codex, SOAP_VARS_KEEP_ALL);
}
}
free(cntstr);
free(cntstr2);
free(loopcode);
}
static void BA_for_parallel(char **argum, SOAP_codex_t *codex){
char *cntstr,*loopcode,*cntstr2;
long cnts,cnte,cnt,cntvar,numvars,cnttmp,varnum;
SOAP_codex_t *codexcopy,*codexoriginal;
bool FOUNDMATCH;
if (SOAP_number_argums(*argum)!=4)
SOAP_fatal_error(codex,"the for_parallel() command needs 4 arguments: "
"the first argument is the counter variable name; "
"the second argument is the start of the counting (integer); "
"the third argument is the end of the counting (integer); "
"the fourth argument is the code to be executed at every count.");
SOAP_substitute_argum(argum,1,codex);
SOAP_substitute_argum(argum,2,codex);
cnts=SOAP_get_argum_long(codex,*argum,1);
cnte=SOAP_get_argum_long(codex,*argum,2);
if (cnts>cnte) {
cnttmp=cnte;
cnte=cnts;
cnts=cnttmp;
}
codexcopy=(SOAP_codex_t *)malloc((cnte-cnts+1)*sizeof(SOAP_codex_t));
codexoriginal=(SOAP_codex_t *)malloc(sizeof(SOAP_codex_t));
SOAP_copy_codex(codex, codexoriginal);
codexoriginal->vars=NULL;
SOAP_copy_all_vars(codex->vars, &codexoriginal->vars);
#ifdef OPENMPTHREADS
#pragma omp parallel for private(cnt,cntstr2,cntstr,loopcode) schedule(dynamic)
#endif
for (cnt=cnts; cnt<=cnte; cnt++){
SOAP_copy_codex(codex, &(codexcopy[cnt-cnts]));
(codexcopy[cnt-cnts]).vars=NULL;
SOAP_copy_all_vars(codex->vars, &((codexcopy[cnt-cnts]).vars));
/* change value of cntstr to cntstr2 in variables */
loopcode=(char *)malloc(sizeof(char));
cntstr=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(&(codexcopy[cnt-cnts]),&cntstr,*argum,0);
SOAP_get_argum_straight(&(codexcopy[cnt-cnts]),&loopcode, *argum, 3);
cntstr2=(char *)malloc(maxnumlen*sizeof(char));
sprintf(cntstr2,"%ld",cnt);
update_var(&cntstr, &cntstr2, &(codexcopy[cnt-cnts]));
SOAP_process_code(loopcode, &(codexcopy[cnt-cnts]), SOAP_VARS_KEEP_ALL);
free(cntstr2);
free(cntstr);
free(loopcode);
}
for (cnt=cnts; cnt<=cnte; cnt++){
SOAP_count_all_vars(&(codexcopy[cnt-cnts]), &numvars);
for (cntvar=0; cntvar<numvars; cntvar++){
varnum=0;
FOUNDMATCH=FALSE;
while (codexoriginal->vars[varnum].name!=NULL) {
if (strcmp(codexoriginal->vars[varnum].name,(codexcopy[cnt-cnts]).vars[cntvar].name)==0) {
FOUNDMATCH=TRUE;
if(strcmp(codexoriginal->vars[varnum].value,(codexcopy[cnt-cnts]).vars[cntvar].value)!=0) {
SOAP_add_to_vars(codex, (codexcopy[cnt-cnts]).vars[cntvar].name, (codexcopy[cnt-cnts]).vars[cntvar].value);
}
}
varnum++;
}
if (!FOUNDMATCH) {
SOAP_add_to_vars(codex, (codexcopy[cnt-cnts]).vars[cntvar].name, (codexcopy[cnt-cnts]).vars[cntvar].value);
}
}
SOAP_free_all_vars(((codexcopy[cnt-cnts]).vars));
SOAP_free_codex(&(codexcopy[cnt-cnts]));
}
SOAP_free_all_vars(codexoriginal->vars);
SOAP_free_codex(codexoriginal);
free(codexcopy);
free(codexoriginal);
}
static void BA_if(char **argum, SOAP_codex_t *codex){
char *ifcode;
ifcode=(char *)malloc(sizeof(char));
SOAP_substitute_argum(argum,0,codex);
if (!(SOAP_number_argums(*argum)==2 || SOAP_number_argums(*argum)==3))
SOAP_fatal_error(codex,"Not the right number of arguments in if() command; "
"the first argument is the condition; "
"the second argument is the code to execute if the condition is true; "
"the third argument (not required) is the code to execute if the condition if false.");
if (is_logical(codex,longfromdouble(SOAP_get_argum_double(codex,*argum,0)))) {
SOAP_get_argum_straight(codex,&ifcode, *argum, 1);
SOAP_process_code(ifcode, codex, SOAP_VARS_KEEP_ALL);
} else {
if (SOAP_number_argums(*argum)==3){
SOAP_get_argum_straight(codex,&ifcode, *argum, 2);
SOAP_process_code(ifcode, codex, SOAP_VARS_KEEP_ALL);
}
}
free(ifcode);
}
static void BA_include(char **argum, SOAP_codex_t *codex){
char *includedcode;
char *filename;
char *message;
char *filename_mem;
filename_mem=(char *)malloc(sizeof(char)*(2+strlen(codex->filename)));
strcpy(filename_mem,codex->filename);
if (SOAP_number_argums(*argum)!=1)
SOAP_fatal_error(codex,"Not the right number of arguments in include() command; "
"the first and only argument is the name of the file to be included.");
SOAP_substitute_argum(argum,0,codex);
filename=(char *)malloc(sizeof(char));
includedcode=(char *)malloc(sizeof(char));
SOAP_get_argum_string(codex, &filename, *argum, 0);
SOAP_store_file_as_string(filename, &includedcode);
SOAP_insert_line_numbers_in_code(&includedcode, 1);
message=(char *)malloc((100+strlen(filename))*sizeof(char));
sprintf(message,"%s\n included on line %ld of file ",filename,codex->linenum);
SOAP_strins(message,&codex->filename,0);
SOAP_process_code(includedcode, codex, SOAP_VARS_KEEP_ALL);
strcpy(codex->filename,filename_mem);
free(filename_mem);
free(includedcode);
free(filename);
free(message);
}
static void BA_while(char **argum, SOAP_codex_t *codex){
char *loopcode,*condition;
bool CONTINUE;
condition=(char *)malloc(sizeof(char));
loopcode=(char *)malloc(sizeof(char));
SOAP_get_argum_straight(codex,&loopcode, *argum, 1);
CONTINUE=TRUE;
do {
SOAP_get_argum_straight(codex,&condition,*argum,0);
SOAP_substitute_argum(&condition,0,codex);
if (!is_logical(codex,longfromdouble(SOAP_get_argum_double(codex,condition,0)))) CONTINUE=FALSE;
if (CONTINUE) SOAP_process_code(loopcode, codex, SOAP_VARS_KEEP_ALL);
} while (CONTINUE);
free(condition);
free(loopcode);
}
static void BA_exit(char **argum, SOAP_codex_t *codex){
long ret;
SOAP_substitute_argum(argum,0,codex);
ret=longfromdouble(SOAP_get_argum_double(codex,*argum,0));
#ifdef DISTMPI
MPI_Finalize ( );
#endif
exit(ret);
}
static void BA_system(char **argum, SOAP_codex_t *codex){
char *expr;
expr=(char *)malloc(sizeof(char));
SOAP_substitute_argum(argum,0,codex);
SOAP_get_argum_string(codex, &expr, *argum, 0);
if (codex->SYSTEMCALL) {
if (system(expr)==-1) fprintf(stdout,"Problem executing system command in BA_system()");
}
}
static void BA_newline(char **argum, SOAP_codex_t *codex){
SOAP_substitute_argum(argum,0,codex);
codex->linenum=SOAP_get_argum_long(codex,*argum,0);
}
static void builtin_actions(char *action, char **argum, SOAP_codex_t *codex){
if (strcmp(action,"write")==0) {
BA_write(argum,codex,FALSE);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"writeln")==0) {
BA_write(argum,codex,TRUE);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"printf")==0) {
BA_printf(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"fprintf")==0) {
BA_fprintf(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"for")==0) {
BA_for(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"for_parallel")==0) {
BA_for_parallel(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"if")==0) {
BA_if(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"include")==0) {
BA_include(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"while")==0) {
BA_while(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"exit")==0) {
BA_exit(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"system")==0) {
BA_system(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
if (strcmp(action,"__newline")==0) {
BA_newline(argum,codex);
codex->ACTIONPROCESSED=TRUE;
}
}
void SOAP_add_to_vars(SOAP_codex_t *codex, char *name, char *value){
long varnum;
bool FOUNDMATCH;
varnum=0;
FOUNDMATCH=FALSE;
while (codex->vars[varnum].name!=NULL) {
if (strcmp(codex->vars[varnum].name,name)==0) {
FOUNDMATCH=TRUE;
codex->vars[varnum].value=(char *)realloc(codex->vars[varnum].value,
((long)strlen(value)+2)*sizeof(char));
strcpy(codex->vars[varnum].value,value);
}
varnum++;
}
if (!FOUNDMATCH) {
codex->vars=(SOAP_vars_t *)realloc(codex->vars,(varnum+2)*sizeof(SOAP_vars_t));
codex->vars[varnum].name=(char *)malloc(((long)strlen(name)+2)*sizeof(char));
codex->vars[varnum].value=(char *)malloc(((long)strlen(value)+2)*sizeof(char));
strcpy(codex->vars[varnum].name,name);
strcpy(codex->vars[varnum].value,value);
codex->vars[varnum+1].name=NULL;
}
}
void SOAP_add_int_to_vars(SOAP_codex_t *codex, char *name, int value){
char valuestr[100];
if (sprintf(valuestr,"%d",value)<0) SOAP_fatal_error(codex,"Problem converting within SOAP_add_int_to_vars(); name=%s value=%d valuestr=%s.",name,value,valuestr);
SOAP_add_to_vars(codex,name,valuestr);
}
bool SOAP_is_var_in_codex(SOAP_codex_t *codex, char *name){
long varnum;
bool FOUNDMATCH;
varnum=0;
FOUNDMATCH=FALSE;
while (codex->vars[varnum].name!=NULL) {
if (strcmp(codex->vars[varnum].name,name)==0) {
FOUNDMATCH=TRUE;
}
varnum++;
}
return(FOUNDMATCH);
}
double SOAP_var_value(SOAP_codex_t *codex, char *name){
long varnum;
bool FOUNDMATCH;
double value;
int eos=EOS;
varnum=0;
FOUNDMATCH=FALSE;
while (codex->vars[varnum].name!=NULL) {
if (strcmp(codex->vars[varnum].name,name)==0) {
FOUNDMATCH=TRUE;
if (sscanf(codex->vars[varnum].value,"%lg%n",&value,&eos)!=1 || (codex->vars[varnum].value)[eos]!=EOS)
SOAP_fatal_error(codex,"Problem evaluating expression >%s<.",codex->vars[varnum].value);
}
varnum++;
}
if (!FOUNDMATCH) {
SOAP_fatal_error(codex,"Can't find variable match for %s.",name);
}
return(value);
}
void SOAP_var_value_string(SOAP_codex_t *codex, char *name, char **value){
long varnum;
bool FOUNDMATCH;
varnum=0;
FOUNDMATCH=FALSE;
while (codex->vars[varnum].name!=NULL) {
if (strcmp(codex->vars[varnum].name,name)==0) {
FOUNDMATCH=TRUE;
*value=(char *)realloc(*value,(strlen(codex->vars[varnum].value)+3)*sizeof(char));
strcpy(*value,codex->vars[varnum].value);
}
varnum++;
}
if (!FOUNDMATCH) {
SOAP_fatal_error(codex,"Can't find variable match for %s.",name);
}
}
void SOAP_copy_all_vars(SOAP_vars_t *vars1, SOAP_vars_t **vars2){
long varnum;
varnum=0;
*vars2=(SOAP_vars_t *)realloc(*vars2,2*sizeof(SOAP_vars_t));
(*vars2)[varnum].name=NULL;
while (vars1[varnum].name!=NULL) {
*vars2=(SOAP_vars_t *)realloc(*vars2,(varnum+2)*sizeof(SOAP_vars_t));
(*vars2)[varnum].name=(char *)malloc(((long)strlen(vars1[varnum].name)+2)*sizeof(char));
(*vars2)[varnum].value=(char *)malloc(((long)strlen(vars1[varnum].value)+2)*sizeof(char));
strcpy((*vars2)[varnum].name,vars1[varnum].name);
strcpy((*vars2)[varnum].value,vars1[varnum].value);
(*vars2)[varnum+1].name=NULL;
varnum++;
}
}
void SOAP_free_all_vars(SOAP_vars_t *vars){
long varnum;
varnum=0;
while (vars[varnum].name!=NULL) {
free(vars[varnum].name);
free(vars[varnum].value);
varnum++;
}
vars[0].name=NULL;
}
void SOAP_free_codex_copy(SOAP_codex_t *codex){
free(codex->filename);
if (codex->action_being_processed!=NULL) free(codex->action_being_processed);
}
void SOAP_free_codex(SOAP_codex_t *codex){
long varnum;
varnum=0;
while (codex->vars[varnum].name!=NULL) {
free(codex->vars[varnum].name);
free(codex->vars[varnum].value);
varnum++;
}
codex->vars[0].name=NULL;
free(codex->vars);
free(codex->filename);
if (codex->action_being_processed!=NULL) free(codex->action_being_processed);
}
void SOAP_init_codex(SOAP_codex_t *codex, const char *filename){
codex->vars=(SOAP_vars_t *)malloc(sizeof(SOAP_vars_t));
codex->vars[0].name=NULL;
codex->VERBOSE=FALSE;
codex->FUNCTION=FALSE;
codex->ACTION=FALSE;
codex->SCREENOUTPUT=TRUE;
codex->FILEOUTPUT=TRUE;
codex->SYSTEMCALL=TRUE;
codex->ACTIONPROCESSED=FALSE;
codex->linenum=0;
codex->filename=(char *)malloc((2+strlen(filename))*sizeof(char));
strcpy(codex->filename,filename);
codex->action_being_processed=NULL;
}
void SOAP_copy_codex(SOAP_codex_t *orig, SOAP_codex_t *copy){
copy->vars=orig->vars;
copy->VERBOSE=orig->VERBOSE;
copy->FUNCTION=orig->FUNCTION;
copy->ACTION=orig->ACTION;
copy->SCREENOUTPUT=orig->SCREENOUTPUT;
copy->FILEOUTPUT=orig->FILEOUTPUT;
copy->SYSTEMCALL=orig->SYSTEMCALL;
copy->ACTIONPROCESSED=orig->ACTIONPROCESSED;
copy->action=orig->action;
copy->function=orig->function;
copy->action_args=orig->action_args;
copy->function_args=orig->function_args;
copy->linenum=orig->linenum;
copy->filename=(char *)malloc((strlen(orig->filename)+2)*sizeof(char));
strcpy(copy->filename,orig->filename);
if (orig->action_being_processed!=NULL) {
copy->action_being_processed=(char *)malloc((strlen(orig->action_being_processed)+2)*sizeof(char));
strcpy(copy->action_being_processed,orig->action_being_processed);
} else {
copy->action_being_processed=NULL;
}
}
void SOAP_count_all_vars(SOAP_codex_t *codex, long *numvars){
long NULL_POS;
NULL_POS=-1;
do {
NULL_POS++;
} while ((codex->vars)[NULL_POS].name!=NULL);
*numvars=NULL_POS;
}
void SOAP_clean_added_vars(SOAP_codex_t *codex, long numvarsinit){
long numvars,cnt;
SOAP_count_all_vars(codex, &numvars);
for (cnt=numvarsinit; cnt<numvars; cnt++) {
free((codex->vars)[cnt].name);
free((codex->vars)[cnt].value);
}
(codex->vars)[numvarsinit].name=NULL;
}
/* process a piece of code defined in *code
with the actions list defined in *action */
void SOAP_process_code(char *code, SOAP_codex_t *codex, int SOAP_VARS){
long cnt,cnt2,codelength,numvarsinit,parentheses;
bool ASSIGN,INSTRING;
char *action,*argum;
SOAP_count_all_vars(codex,&numvarsinit);
clean_code(codex,code);
/* ShowCode(code); */
codelength=(long)strlen(code);
if (codelength>0) {
cnt=0;
action=(char *)malloc(sizeof(char));
argum=(char *)malloc(sizeof(char));
do {
/* get action string and argument string*/
cnt2=0;
while (code[cnt]!='(' && code[cnt]!='=' && code[cnt]!=EOS && code[cnt]!=';' && code[cnt]!='"') {
action=(char *)realloc(action,(cnt2+2)*sizeof(char));
action[cnt2]=code[cnt];
cnt++;
cnt2++;
}
if (code[cnt]==EOS || code[cnt]==';' || code[cnt]=='"') {
SOAP_fatal_error(codex,"Action name not followed by '(' or '='.");
}
if (code[cnt]=='=') ASSIGN=TRUE; else ASSIGN=FALSE;
action[cnt2]=EOS;
cnt++;
cnt2=0;
if (ASSIGN) parentheses=0; else parentheses=1;
INSTRING=FALSE;
while ((code[cnt]!=';' || parentheses>0 || INSTRING) && code[cnt]!=EOS) {
argum=(char *)realloc(argum,(cnt2+2)*sizeof(char));
argum[cnt2]=code[cnt];
if (code[cnt]=='"') INSTRING=!INSTRING;
if (code[cnt]=='(') parentheses++;
if (code[cnt]==')') parentheses--;
cnt++;
cnt2++;
}
if (!ASSIGN){
codex->ACTIONPROCESSED=FALSE;
codex->action_being_processed=realloc(codex->action_being_processed,sizeof(char) * (2+strlen(action)));
strcpy(codex->action_being_processed,action);
}
if (parentheses>0) {
SOAP_fatal_error(codex,"Missing ')' .");
}
if (parentheses<0) {
SOAP_fatal_error(codex,"Too many ')' .");
}
if (code[cnt]==EOS) {
SOAP_fatal_error(codex,"Expecting ';' .");
}
cnt++;
if (ASSIGN) argum[cnt2]=EOS; else argum[cnt2-1]=EOS;
/* if (codex->VERBOSE) printf("action='%s' argum='%s'\n",action,argum); */
if (ASSIGN) {
substitute_functions(&argum, codex);
update_var(&action,&argum,codex);
} else {
if (codex->ACTION) (codex->action)(action,&argum,codex);
builtin_actions(action,&argum,codex);
if (!codex->ACTIONPROCESSED && codex->SCREENOUTPUT) fprintf(stdout,"%s ignored..",action);
free(codex->action_being_processed);
codex->action_being_processed=NULL;
}
} while (cnt<codelength);
free(action);
free(argum);
}
if (SOAP_VARS==SOAP_VARS_CLEAN_ADDED) {
SOAP_clean_added_vars(codex, numvarsinit);
}
if (SOAP_VARS==SOAP_VARS_CLEAN_ALL) {
fprintf(stdout,"SOAP_VARS_CLEAN_ALL not yet implemented in soap.c.\n");
}
}
|
simpleomp.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#ifndef NCNN_SIMPLEOMP_H
#define NCNN_SIMPLEOMP_H
#include "platform.h"
#if NCNN_SIMPLEOMP
#include <stdint.h>
// This minimal openmp runtime implementation only supports the llvm openmp abi
// and only supports #pragma omp parallel for num_threads(X)
#ifdef __cplusplus
extern "C" {
#endif
NCNN_EXPORT int omp_get_max_threads();
NCNN_EXPORT void omp_set_num_threads(int num_threads);
NCNN_EXPORT int omp_get_dynamic();
NCNN_EXPORT void omp_set_dynamic(int dynamic);
NCNN_EXPORT int omp_get_num_threads();
NCNN_EXPORT int omp_get_thread_num();
NCNN_EXPORT int kmp_get_blocktime();
NCNN_EXPORT void kmp_set_blocktime(int blocktime);
#ifdef __cplusplus
}
#endif
#endif // NCNN_SIMPLEOMP
#endif // NCNN_SIMPLEOMP_H
|
vision.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% V V IIIII SSSSS IIIII OOO N N %
% V V I SS I O O NN N %
% V V I SSS I O O N N N %
% V V I SS I O O N NN %
% V IIIII SSSSS IIIII OOO N N %
% %
% %
% MagickCore Computer Vision Methods %
% %
% Software Design %
% Cristy %
% September 2014 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
#include "MagickCore/studio.h"
#include "MagickCore/artifact.h"
#include "MagickCore/blob.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colormap.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/constitute.h"
#include "MagickCore/decorate.h"
#include "MagickCore/distort.h"
#include "MagickCore/draw.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/effect.h"
#include "MagickCore/gem.h"
#include "MagickCore/geometry.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/matrix.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/montage.h"
#include "MagickCore/morphology.h"
#include "MagickCore/morphology-private.h"
#include "MagickCore/opencl-private.h"
#include "MagickCore/paint.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/property.h"
#include "MagickCore/quantum.h"
#include "MagickCore/resource_.h"
#include "MagickCore/signature-private.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/token.h"
#include "MagickCore/vision.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n n e c t e d C o m p o n e n t s I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConnectedComponentsImage() returns the connected-components of the image
% uniquely labeled. The returned connected components image colors member
% defines the number of unique objects. Choose from 4 or 8-way connectivity.
%
% You are responsible for freeing the connected components objects resources
% with this statement;
%
% objects = (CCObjectInfo *) RelinquishMagickMemory(objects);
%
% The format of the ConnectedComponentsImage method is:
%
% Image *ConnectedComponentsImage(const Image *image,
% const size_t connectivity,CCObjectInfo **objects,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o connectivity: how many neighbors to visit, choose from 4 or 8.
%
% o objects: return the attributes of each unique object.
%
% o exception: return any errors or warnings in this structure.
%
*/
static int CCObjectInfoCompare(const void *x,const void *y)
{
CCObjectInfo
*p,
*q;
p=(CCObjectInfo *) x;
q=(CCObjectInfo *) y;
return((int) (q->area-(ssize_t) p->area));
}
MagickExport Image *ConnectedComponentsImage(const Image *image,
const size_t connectivity,CCObjectInfo **objects,ExceptionInfo *exception)
{
#define ConnectedComponentsImageTag "ConnectedComponents/Image"
CacheView
*component_view,
*image_view,
*object_view;
CCObjectInfo
*object;
char
*c;
const char
*artifact,
*metrics[CCMaxMetrics];
double
max_threshold,
min_threshold;
Image
*component_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MatrixInfo
*equivalences;
RectangleInfo
bounding_box;
register ssize_t
i;
size_t
size;
ssize_t
background_id,
connect4[2][2] = { { -1, 0 }, { 0, -1 } },
connect8[4][2] = { { -1, -1 }, { -1, 0 }, { -1, 1 }, { 0, -1 } },
dx,
dy,
first,
last,
n,
step,
y;
/*
Initialize connected components image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (objects != (CCObjectInfo **) NULL)
*objects=(CCObjectInfo *) NULL;
component_image=CloneImage(image,0,0,MagickTrue,exception);
if (component_image == (Image *) NULL)
return((Image *) NULL);
component_image->depth=MAGICKCORE_QUANTUM_DEPTH;
if (AcquireImageColormap(component_image,MaxColormapSize,exception) == MagickFalse)
{
component_image=DestroyImage(component_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Initialize connected components equivalences.
*/
size=image->columns*image->rows;
if (image->columns != (size/image->rows))
{
component_image=DestroyImage(component_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
equivalences=AcquireMatrixInfo(size,1,sizeof(ssize_t),exception);
if (equivalences == (MatrixInfo *) NULL)
{
component_image=DestroyImage(component_image);
return((Image *) NULL);
}
for (n=0; n < (ssize_t) (image->columns*image->rows); n++)
(void) SetMatrixElement(equivalences,n,0,&n);
object=(CCObjectInfo *) AcquireQuantumMemory(MaxColormapSize,sizeof(*object));
if (object == (CCObjectInfo *) NULL)
{
equivalences=DestroyMatrixInfo(equivalences);
component_image=DestroyImage(component_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) memset(object,0,MaxColormapSize*sizeof(*object));
for (i=0; i < (ssize_t) MaxColormapSize; i++)
{
object[i].id=i;
object[i].bounding_box.x=(ssize_t) image->columns;
object[i].bounding_box.y=(ssize_t) image->rows;
GetPixelInfo(image,&object[i].color);
}
/*
Find connected components.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
for (n=0; n < (ssize_t) (connectivity > 4 ? 4 : 2); n++)
{
if (status == MagickFalse)
continue;
dx=connectivity > 4 ? connect8[n][1] : connect4[n][1];
dy=connectivity > 4 ? connect8[n][0] : connect4[n][0];
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y-1,image->columns,3,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
p+=GetPixelChannels(image)*image->columns;
for (x=0; x < (ssize_t) image->columns; x++)
{
PixelInfo
pixel,
target;
ssize_t
neighbor_offset,
obj,
offset,
ox,
oy,
root;
/*
Is neighbor an authentic pixel and a different color than the pixel?
*/
GetPixelInfoPixel(image,p,&pixel);
if (((x+dx) < 0) || ((x+dx) >= (ssize_t) image->columns) ||
((y+dy) < 0) || ((y+dy) >= (ssize_t) image->rows))
{
p+=GetPixelChannels(image);
continue;
}
neighbor_offset=dy*(GetPixelChannels(image)*image->columns)+dx*
GetPixelChannels(image);
GetPixelInfoPixel(image,p+neighbor_offset,&target);
if (IsFuzzyEquivalencePixelInfo(&pixel,&target) == MagickFalse)
{
p+=GetPixelChannels(image);
continue;
}
/*
Resolve this equivalence.
*/
offset=y*image->columns+x;
neighbor_offset=dy*image->columns+dx;
ox=offset;
status=GetMatrixElement(equivalences,ox,0,&obj);
while (obj != ox)
{
ox=obj;
status=GetMatrixElement(equivalences,ox,0,&obj);
}
oy=offset+neighbor_offset;
status=GetMatrixElement(equivalences,oy,0,&obj);
while (obj != oy)
{
oy=obj;
status=GetMatrixElement(equivalences,oy,0,&obj);
}
if (ox < oy)
{
status=SetMatrixElement(equivalences,oy,0,&ox);
root=ox;
}
else
{
status=SetMatrixElement(equivalences,ox,0,&oy);
root=oy;
}
ox=offset;
status=GetMatrixElement(equivalences,ox,0,&obj);
while (obj != root)
{
status=GetMatrixElement(equivalences,ox,0,&obj);
status=SetMatrixElement(equivalences,ox,0,&root);
}
oy=offset+neighbor_offset;
status=GetMatrixElement(equivalences,oy,0,&obj);
while (obj != root)
{
status=GetMatrixElement(equivalences,oy,0,&obj);
status=SetMatrixElement(equivalences,oy,0,&root);
}
status=SetMatrixElement(equivalences,y*image->columns+x,0,&root);
p+=GetPixelChannels(image);
}
}
}
/*
Label connected components.
*/
n=0;
component_view=AcquireAuthenticCacheView(component_image,exception);
for (y=0; y < (ssize_t) component_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(component_view,0,y,component_image->columns,
1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) component_image->columns; x++)
{
ssize_t
id,
offset;
offset=y*image->columns+x;
status=GetMatrixElement(equivalences,offset,0,&id);
if (id != offset)
status=GetMatrixElement(equivalences,id,0,&id);
else
{
id=n++;
if (id >= (ssize_t) MaxColormapSize)
break;
}
status=SetMatrixElement(equivalences,offset,0,&id);
if (x < object[id].bounding_box.x)
object[id].bounding_box.x=x;
if (x >= (ssize_t) object[id].bounding_box.width)
object[id].bounding_box.width=(size_t) x;
if (y < object[id].bounding_box.y)
object[id].bounding_box.y=y;
if (y >= (ssize_t) object[id].bounding_box.height)
object[id].bounding_box.height=(size_t) y;
object[id].color.red+=QuantumScale*GetPixelRed(image,p);
object[id].color.green+=QuantumScale*GetPixelGreen(image,p);
object[id].color.blue+=QuantumScale*GetPixelBlue(image,p);
if (image->alpha_trait != UndefinedPixelTrait)
object[id].color.alpha+=QuantumScale*GetPixelAlpha(image,p);
if (image->colorspace == CMYKColorspace)
object[id].color.black+=QuantumScale*GetPixelBlack(image,p);
object[id].centroid.x+=x;
object[id].centroid.y+=y;
object[id].area++;
SetPixelIndex(component_image,(Quantum) id,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(component_image);
}
if (n > (ssize_t) MaxColormapSize)
break;
if (SyncCacheViewAuthenticPixels(component_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
progress++;
proceed=SetImageProgress(image,ConnectedComponentsImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
component_view=DestroyCacheView(component_view);
image_view=DestroyCacheView(image_view);
equivalences=DestroyMatrixInfo(equivalences);
if (n > (ssize_t) MaxColormapSize)
{
object=(CCObjectInfo *) RelinquishMagickMemory(object);
component_image=DestroyImage(component_image);
ThrowImageException(ResourceLimitError,"TooManyObjects");
}
background_id=0;
min_threshold=0.0;
max_threshold=0.0;
component_image->colors=(size_t) n;
for (i=0; i < (ssize_t) component_image->colors; i++)
{
object[i].bounding_box.width-=(object[i].bounding_box.x-1);
object[i].bounding_box.height-=(object[i].bounding_box.y-1);
object[i].color.red/=(QuantumScale*object[i].area);
object[i].color.green/=(QuantumScale*object[i].area);
object[i].color.blue/=(QuantumScale*object[i].area);
if (image->alpha_trait != UndefinedPixelTrait)
object[i].color.alpha/=(QuantumScale*object[i].area);
if (image->colorspace == CMYKColorspace)
object[i].color.black/=(QuantumScale*object[i].area);
object[i].centroid.x/=object[i].area;
object[i].centroid.y/=object[i].area;
max_threshold+=object[i].area;
if (object[i].area > object[background_id].area)
background_id=i;
}
max_threshold+=MagickEpsilon;
n=(-1);
artifact=GetImageArtifact(image,"connected-components:background-id");
if (artifact != (const char *) NULL)
background_id=(ssize_t) StringToDouble(artifact,(char **) NULL);
artifact=GetImageArtifact(image,"connected-components:area-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max area threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
for (i=0; i < (ssize_t) component_image->colors; i++)
if (((object[i].area < min_threshold) ||
(object[i].area >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
artifact=GetImageArtifact(image,"connected-components:keep-colors");
if (artifact != (const char *) NULL)
{
register const char
*p;
/*
Keep selected objects based on color, merge others.
*/
for (i=0; i < (ssize_t) component_image->colors; i++)
object[i].merge=MagickTrue;
for (p=artifact; ; )
{
char
color[MagickPathExtent];
PixelInfo
pixel;
register const char
*q;
for (q=p; *q != '\0'; q++)
if (*q == ';')
break;
(void) CopyMagickString(color,p,(size_t) MagickMin(q-p+1,
MagickPathExtent));
(void) QueryColorCompliance(color,AllCompliance,&pixel,exception);
for (i=0; i < (ssize_t) component_image->colors; i++)
if (IsFuzzyEquivalencePixelInfo(&object[i].color,&pixel) != MagickFalse)
object[i].merge=MagickFalse;
if (*q == '\0')
break;
p=q+1;
}
}
artifact=GetImageArtifact(image,"connected-components:keep-ids");
if (artifact == (const char *) NULL)
artifact=GetImageArtifact(image,"connected-components:keep");
if (artifact != (const char *) NULL)
{
/*
Keep selected objects based on id, merge others.
*/
for (i=0; i < (ssize_t) component_image->colors; i++)
object[i].merge=MagickTrue;
for (c=(char *) artifact; *c != '\0'; )
{
while ((isspace((int) ((unsigned char) *c)) != 0) || (*c == ','))
c++;
first=(ssize_t) strtol(c,&c,10);
if (first < 0)
first+=(ssize_t) component_image->colors;
last=first;
while (isspace((int) ((unsigned char) *c)) != 0)
c++;
if (*c == '-')
{
last=(ssize_t) strtol(c+1,&c,10);
if (last < 0)
last+=(ssize_t) component_image->colors;
}
step=(ssize_t) (first > last ? -1 : 1);
for ( ; first != (last+step); first+=step)
object[first].merge=MagickFalse;
}
}
artifact=GetImageArtifact(image,"connected-components:keep-top");
if (artifact != (const char *) NULL)
{
CCObjectInfo
*top_objects;
ssize_t
top_ids;
/*
Keep top objects.
*/
top_ids=(ssize_t) StringToDouble(artifact,(char **) NULL);
top_objects=(CCObjectInfo *) AcquireQuantumMemory(component_image->colors,
sizeof(*top_objects));
if (top_objects == (CCObjectInfo *) NULL)
{
object=(CCObjectInfo *) RelinquishMagickMemory(object);
component_image=DestroyImage(component_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) memcpy(top_objects,object,component_image->colors*sizeof(*object));
qsort((void *) top_objects,component_image->colors,sizeof(*top_objects),
CCObjectInfoCompare);
for (i=top_ids+1; i < (ssize_t) component_image->colors; i++)
object[top_objects[i].id].merge=MagickTrue;
top_objects=(CCObjectInfo *) RelinquishMagickMemory(top_objects);
}
artifact=GetImageArtifact(image,"connected-components:remove-colors");
if (artifact != (const char *) NULL)
{
register const char
*p;
/*
Remove selected objects based on color, keep others.
*/
for (p=artifact; ; )
{
char
color[MagickPathExtent];
PixelInfo
pixel;
register const char
*q;
for (q=p; *q != '\0'; q++)
if (*q == ';')
break;
(void) CopyMagickString(color,p,(size_t) MagickMin(q-p+1,
MagickPathExtent));
(void) QueryColorCompliance(color,AllCompliance,&pixel,exception);
for (i=0; i < (ssize_t) component_image->colors; i++)
if (IsFuzzyEquivalencePixelInfo(&object[i].color,&pixel) != MagickFalse)
object[i].merge=MagickTrue;
if (*q == '\0')
break;
p=q+1;
}
}
artifact=GetImageArtifact(image,"connected-components:remove-ids");
if (artifact == (const char *) NULL)
artifact=GetImageArtifact(image,"connected-components:remove");
if (artifact != (const char *) NULL)
for (c=(char *) artifact; *c != '\0'; )
{
/*
Remove selected objects based on id, keep others.
*/
while ((isspace((int) ((unsigned char) *c)) != 0) || (*c == ','))
c++;
first=(ssize_t) strtol(c,&c,10);
if (first < 0)
first+=(ssize_t) component_image->colors;
last=first;
while (isspace((int) ((unsigned char) *c)) != 0)
c++;
if (*c == '-')
{
last=(ssize_t) strtol(c+1,&c,10);
if (last < 0)
last+=(ssize_t) component_image->colors;
}
step=(ssize_t) (first > last ? -1 : 1);
for ( ; first != (last+step); first+=step)
object[first].merge=MagickTrue;
}
artifact=GetImageArtifact(image,"connected-components:perimeter-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max perimeter threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
metrics[++n]="perimeter";
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic) shared(status) \
magick_number_threads(component_image,component_image,component_image->colors,1)
#endif
for (i=0; i < (ssize_t) component_image->colors; i++)
{
CacheView
*component_view;
RectangleInfo
bounding_box;
size_t
pattern[4] = { 1, 0, 0, 0 };
ssize_t
y;
/*
Compute perimeter of each object.
*/
if (status == MagickFalse)
continue;
component_view=AcquireAuthenticCacheView(component_image,exception);
bounding_box=object[i].bounding_box;
for (y=(-1); y < (ssize_t) bounding_box.height+1; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x-1,
bounding_box.y+y,bounding_box.width+2,2,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=(-1); x < (ssize_t) bounding_box.width+1; x++)
{
Quantum
pixels[4];
register ssize_t
v;
size_t
foreground;
/*
An Algorithm for Calculating Objects’ Shape Features in Binary
Images, Lifeng He, Yuyan Chao.
*/
foreground=0;
for (v=0; v < 2; v++)
{
register ssize_t
u;
for (u=0; u < 2; u++)
{
ssize_t
offset;
offset=v*(bounding_box.width+2)*
GetPixelChannels(component_image)+u*
GetPixelChannels(component_image);
pixels[2*v+u]=GetPixelIndex(component_image,p+offset);
if ((ssize_t) pixels[2*v+u] == i)
foreground++;
}
}
if (foreground == 1)
pattern[1]++;
else
if (foreground == 2)
{
if ((((ssize_t) pixels[0] == i) &&
((ssize_t) pixels[3] == i)) ||
(((ssize_t) pixels[1] == i) &&
((ssize_t) pixels[2] == i)))
pattern[0]++; /* diagonal */
else
pattern[2]++;
}
else
if (foreground == 3)
pattern[3]++;
p+=GetPixelChannels(component_image);
}
}
component_view=DestroyCacheView(component_view);
object[i].metric[n]=ceil(MagickSQ1_2*pattern[1]+1.0*pattern[2]+
MagickSQ1_2*pattern[3]+MagickSQ2*pattern[0]-0.5);
}
for (i=0; i < (ssize_t) component_image->colors; i++)
if (((object[i].metric[n] < min_threshold) ||
(object[i].metric[n] >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
artifact=GetImageArtifact(image,"connected-components:circularity-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max circularity threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
metrics[++n]="circularity";
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic) shared(status) \
magick_number_threads(component_image,component_image,component_image->colors,1)
#endif
for (i=0; i < (ssize_t) component_image->colors; i++)
{
CacheView
*component_view;
RectangleInfo
bounding_box;
size_t
pattern[4] = { 1, 0, 0, 0 };
ssize_t
y;
/*
Compute perimeter of each object.
*/
if (status == MagickFalse)
continue;
component_view=AcquireAuthenticCacheView(component_image,exception);
bounding_box=object[i].bounding_box;
for (y=(-1); y < (ssize_t) bounding_box.height; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x-1,
bounding_box.y+y,bounding_box.width+2,2,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=(-1); x < (ssize_t) bounding_box.width; x++)
{
Quantum
pixels[4];
register ssize_t
v;
size_t
foreground;
/*
An Algorithm for Calculating Objects’ Shape Features in Binary
Images, Lifeng He, Yuyan Chao.
*/
foreground=0;
for (v=0; v < 2; v++)
{
register ssize_t
u;
for (u=0; u < 2; u++)
{
ssize_t
offset;
offset=v*(bounding_box.width+2)*
GetPixelChannels(component_image)+u*
GetPixelChannels(component_image);
pixels[2*v+u]=GetPixelIndex(component_image,p+offset);
if ((ssize_t) pixels[2*v+u] == i)
foreground++;
}
}
if (foreground == 1)
pattern[1]++;
else
if (foreground == 2)
{
if ((((ssize_t) pixels[0] == i) &&
((ssize_t) pixels[3] == i)) ||
(((ssize_t) pixels[1] == i) &&
((ssize_t) pixels[2] == i)))
pattern[0]++; /* diagonal */
else
pattern[2]++;
}
else
if (foreground == 3)
pattern[3]++;
p+=GetPixelChannels(component_image);
}
}
component_view=DestroyCacheView(component_view);
object[i].metric[n]=ceil(MagickSQ1_2*pattern[1]+1.0*pattern[2]+
MagickSQ1_2*pattern[3]+MagickSQ2*pattern[0]-0.5);
object[i].metric[n]=4.0*MagickPI*object[i].area/(object[i].metric[n]*
object[i].metric[n]);
}
for (i=0; i < (ssize_t) component_image->colors; i++)
if (((object[i].metric[n] < min_threshold) ||
(object[i].metric[n] >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
artifact=GetImageArtifact(image,"connected-components:diameter-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max diameter threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
metrics[++n]="diameter";
for (i=0; i < (ssize_t) component_image->colors; i++)
{
object[i].metric[n]=ceil(sqrt(4.0*object[i].area/MagickPI)-0.5);
if (((object[i].metric[n] < min_threshold) ||
(object[i].metric[n] >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
}
artifact=GetImageArtifact(image,"connected-components:major-axis-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max ellipse major threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
metrics[++n]="major-axis";
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic) shared(status) \
magick_number_threads(component_image,component_image,component_image->colors,1)
#endif
for (i=0; i < (ssize_t) component_image->colors; i++)
{
CacheView
*component_view;
double
M00 = 0.0,
M01 = 0.0,
M02 = 0.0,
M10 = 0.0,
M11 = 0.0,
M20 = 0.0;
PointInfo
centroid = { 0.0, 0.0 };
RectangleInfo
bounding_box;
register const Quantum
*magick_restrict p;
register ssize_t
x;
ssize_t
y;
/*
Compute ellipse major axis of each object.
*/
if (status == MagickFalse)
continue;
component_view=AcquireAuthenticCacheView(component_image,exception);
bounding_box=object[i].bounding_box;
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M00++;
M10+=x;
M01+=y;
}
p+=GetPixelChannels(component_image);
}
}
centroid.x=M10*PerceptibleReciprocal(M00);
centroid.y=M01*PerceptibleReciprocal(M00);
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M11+=(x-centroid.x)*(y-centroid.y);
M20+=(x-centroid.x)*(x-centroid.x);
M02+=(y-centroid.y)*(y-centroid.y);
}
p+=GetPixelChannels(component_image);
}
}
component_view=DestroyCacheView(component_view);
object[i].metric[n]=sqrt((2.0*PerceptibleReciprocal(M00))*((M20+M02)+
sqrt(4.0*M11*M11+(M20-M02)*(M20-M02))));
}
for (i=0; i < (ssize_t) component_image->colors; i++)
if (((object[i].metric[n] < min_threshold) ||
(object[i].metric[n] >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
artifact=GetImageArtifact(image,"connected-components:minor-axis-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max ellipse minor threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
metrics[++n]="minor-axis";
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic) shared(status) \
magick_number_threads(component_image,component_image,component_image->colors,1)
#endif
for (i=0; i < (ssize_t) component_image->colors; i++)
{
CacheView
*component_view;
double
M00 = 0.0,
M01 = 0.0,
M02 = 0.0,
M10 = 0.0,
M11 = 0.0,
M20 = 0.0;
PointInfo
centroid = { 0.0, 0.0 };
RectangleInfo
bounding_box;
register const Quantum
*magick_restrict p;
register ssize_t
x;
ssize_t
y;
/*
Compute ellipse major axis of each object.
*/
if (status == MagickFalse)
continue;
component_view=AcquireAuthenticCacheView(component_image,exception);
bounding_box=object[i].bounding_box;
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M00++;
M10+=x;
M01+=y;
}
p+=GetPixelChannels(component_image);
}
}
centroid.x=M10*PerceptibleReciprocal(M00);
centroid.y=M01*PerceptibleReciprocal(M00);
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M11+=(x-centroid.x)*(y-centroid.y);
M20+=(x-centroid.x)*(x-centroid.x);
M02+=(y-centroid.y)*(y-centroid.y);
}
p+=GetPixelChannels(component_image);
}
}
component_view=DestroyCacheView(component_view);
object[i].metric[n]=sqrt((2.0*PerceptibleReciprocal(M00))*((M20+M02)-
sqrt(4.0*M11*M11+(M20-M02)*(M20-M02))));
}
for (i=0; i < (ssize_t) component_image->colors; i++)
if (((object[i].metric[n] < min_threshold) ||
(object[i].metric[n] >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
artifact=GetImageArtifact(image,
"connected-components:eccentricity-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max eccentricity threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
metrics[++n]="eccentricy";
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic) shared(status) \
magick_number_threads(component_image,component_image,component_image->colors,1)
#endif
for (i=0; i < (ssize_t) component_image->colors; i++)
{
CacheView
*component_view;
double
M00 = 0.0,
M01 = 0.0,
M02 = 0.0,
M10 = 0.0,
M11 = 0.0,
M20 = 0.0;
PointInfo
centroid = { 0.0, 0.0 },
ellipse_axis = { 0.0, 0.0 };
RectangleInfo
bounding_box;
register const Quantum
*magick_restrict p;
register ssize_t
x;
ssize_t
y;
/*
Compute eccentricity of each object.
*/
if (status == MagickFalse)
continue;
component_view=AcquireAuthenticCacheView(component_image,exception);
bounding_box=object[i].bounding_box;
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M00++;
M10+=x;
M01+=y;
}
p+=GetPixelChannels(component_image);
}
}
centroid.x=M10*PerceptibleReciprocal(M00);
centroid.y=M01*PerceptibleReciprocal(M00);
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M11+=(x-centroid.x)*(y-centroid.y);
M20+=(x-centroid.x)*(x-centroid.x);
M02+=(y-centroid.y)*(y-centroid.y);
}
p+=GetPixelChannels(component_image);
}
}
component_view=DestroyCacheView(component_view);
ellipse_axis.x=sqrt((2.0*PerceptibleReciprocal(M00))*((M20+M02)+
sqrt(4.0*M11*M11+(M20-M02)*(M20-M02))));
ellipse_axis.y=sqrt((2.0*PerceptibleReciprocal(M00))*((M20+M02)-
sqrt(4.0*M11*M11+(M20-M02)*(M20-M02))));
object[i].metric[n]=sqrt(1.0-(ellipse_axis.y*ellipse_axis.y*
PerceptibleReciprocal(ellipse_axis.x*ellipse_axis.x)));
}
for (i=0; i < (ssize_t) component_image->colors; i++)
if (((object[i].metric[n] < min_threshold) ||
(object[i].metric[n] >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
artifact=GetImageArtifact(image,"connected-components:angle-threshold");
if (artifact != (const char *) NULL)
{
/*
Merge any object not within the min and max ellipse angle threshold.
*/
(void) sscanf(artifact,"%lf%*[ -]%lf",&min_threshold,&max_threshold);
metrics[++n]="angle";
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic) shared(status) \
magick_number_threads(component_image,component_image,component_image->colors,1)
#endif
for (i=0; i < (ssize_t) component_image->colors; i++)
{
CacheView
*component_view;
double
M00 = 0.0,
M01 = 0.0,
M02 = 0.0,
M10 = 0.0,
M11 = 0.0,
M20 = 0.0;
PointInfo
centroid = { 0.0, 0.0 };
RectangleInfo
bounding_box;
register const Quantum
*magick_restrict p;
register ssize_t
x;
ssize_t
y;
/*
Compute ellipse angle of each object.
*/
if (status == MagickFalse)
continue;
component_view=AcquireAuthenticCacheView(component_image,exception);
bounding_box=object[i].bounding_box;
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M00++;
M10+=x;
M01+=y;
}
p+=GetPixelChannels(component_image);
}
}
centroid.x=M10*PerceptibleReciprocal(M00);
centroid.y=M01*PerceptibleReciprocal(M00);
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,p) == i)
{
M11+=(x-centroid.x)*(y-centroid.y);
M20+=(x-centroid.x)*(x-centroid.x);
M02+=(y-centroid.y)*(y-centroid.y);
}
p+=GetPixelChannels(component_image);
}
}
component_view=DestroyCacheView(component_view);
object[i].metric[n]=RadiansToDegrees(1.0/2.0*atan(2.0*M11*
PerceptibleReciprocal(M20-M02)));
if (fabs(M11) < 0.0)
{
if ((fabs(M20-M02) >= 0.0) && ((M20-M02) < 0.0))
object[i].metric[n]+=90.0;
}
else
if (M11 < 0.0)
{
if (fabs(M20-M02) >= 0.0)
{
if ((M20-M02) < 0.0)
object[i].metric[n]+=90.0;
else
object[i].metric[n]+=180.0;
}
}
else
if ((fabs(M20-M02) >= 0.0) && ((M20-M02) < 0.0))
object[i].metric[n]+=90.0;
}
for (i=0; i < (ssize_t) component_image->colors; i++)
if (((object[i].metric[n] < min_threshold) ||
(object[i].metric[n] >= max_threshold)) && (i != background_id))
object[i].merge=MagickTrue;
}
/*
Merge any object not within the min and max area threshold.
*/
component_view=AcquireAuthenticCacheView(component_image,exception);
object_view=AcquireVirtualCacheView(component_image,exception);
for (i=0; i < (ssize_t) component_image->colors; i++)
{
register ssize_t
j;
size_t
id;
if (status == MagickFalse)
continue;
if ((object[i].merge == MagickFalse) || (i == background_id))
continue; /* keep object */
/*
Merge this object.
*/
for (j=0; j < (ssize_t) component_image->colors; j++)
object[j].census=0;
bounding_box=object[i].bounding_box;
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
register ssize_t
n;
if (status == MagickFalse)
continue;
j=(ssize_t) GetPixelIndex(component_image,p);
if (j == i)
for (n=0; n < (ssize_t) (connectivity > 4 ? 4 : 2); n++)
{
register const Quantum
*p;
/*
Compute area of adjacent objects.
*/
if (status == MagickFalse)
continue;
dx=connectivity > 4 ? connect8[n][1] : connect4[n][1];
dy=connectivity > 4 ? connect8[n][0] : connect4[n][0];
p=GetCacheViewVirtualPixels(object_view,bounding_box.x+x+dx,
bounding_box.y+y+dy,1,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
break;
}
j=(ssize_t) GetPixelIndex(component_image,p);
if (j != i)
object[j].census++;
}
p+=GetPixelChannels(component_image);
}
}
/*
Merge with object of greatest adjacent area.
*/
id=0;
for (j=1; j < (ssize_t) component_image->colors; j++)
if (object[j].census > object[id].census)
id=(size_t) j;
object[i].area=0.0;
for (y=0; y < (ssize_t) bounding_box.height; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(component_view,bounding_box.x,
bounding_box.y+y,bounding_box.width,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) bounding_box.width; x++)
{
if ((ssize_t) GetPixelIndex(component_image,q) == i)
SetPixelIndex(component_image,(Quantum) id,q);
q+=GetPixelChannels(component_image);
}
if (SyncCacheViewAuthenticPixels(component_view,exception) == MagickFalse)
status=MagickFalse;
}
}
object_view=DestroyCacheView(object_view);
component_view=DestroyCacheView(component_view);
artifact=GetImageArtifact(image,"connected-components:mean-color");
if (IsStringTrue(artifact) != MagickFalse)
{
/*
Replace object with mean color.
*/
for (i=0; i < (ssize_t) component_image->colors; i++)
component_image->colormap[i]=object[i].color;
}
(void) SyncImage(component_image,exception);
artifact=GetImageArtifact(image,"connected-components:verbose");
if ((IsStringTrue(artifact) != MagickFalse) ||
(objects != (CCObjectInfo **) NULL))
{
/*
Report statistics on each unique object.
*/
for (i=0; i < (ssize_t) component_image->colors; i++)
{
object[i].bounding_box.width=0;
object[i].bounding_box.height=0;
object[i].bounding_box.x=(ssize_t) component_image->columns;
object[i].bounding_box.y=(ssize_t) component_image->rows;
object[i].centroid.x=0;
object[i].centroid.y=0;
object[i].census=object[i].area == 0.0 ? 0.0 : 1.0;
object[i].area=0;
}
component_view=AcquireVirtualCacheView(component_image,exception);
for (y=0; y < (ssize_t) component_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(component_view,0,y,component_image->columns,
1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) component_image->columns; x++)
{
size_t
id;
id=(size_t) GetPixelIndex(component_image,p);
if (x < object[id].bounding_box.x)
object[id].bounding_box.x=x;
if (x > (ssize_t) object[id].bounding_box.width)
object[id].bounding_box.width=(size_t) x;
if (y < object[id].bounding_box.y)
object[id].bounding_box.y=y;
if (y > (ssize_t) object[id].bounding_box.height)
object[id].bounding_box.height=(size_t) y;
object[id].centroid.x+=x;
object[id].centroid.y+=y;
object[id].area++;
p+=GetPixelChannels(component_image);
}
}
for (i=0; i < (ssize_t) component_image->colors; i++)
{
object[i].bounding_box.width-=(object[i].bounding_box.x-1);
object[i].bounding_box.height-=(object[i].bounding_box.y-1);
object[i].centroid.x=object[i].centroid.x/object[i].area;
object[i].centroid.y=object[i].centroid.y/object[i].area;
}
component_view=DestroyCacheView(component_view);
qsort((void *) object,component_image->colors,sizeof(*object),
CCObjectInfoCompare);
if (objects == (CCObjectInfo **) NULL)
{
register ssize_t
j;
artifact=GetImageArtifact(image,
"connected-components:exclude-header");
if (IsStringTrue(artifact) == MagickFalse)
{
(void) fprintf(stdout,
"Objects (id: bounding-box centroid area mean-color");
for (j=0; j <= n; j++)
(void) fprintf(stdout," %s",metrics[j]);
(void) fprintf(stdout,"):\n");
}
for (i=0; i < (ssize_t) component_image->colors; i++)
if (object[i].census > 0.0)
{
char
mean_color[MagickPathExtent];
GetColorTuple(&object[i].color,MagickFalse,mean_color);
(void) fprintf(stdout,
" %.20g: %.20gx%.20g%+.20g%+.20g %.1f,%.1f %.*g %s",
(double) object[i].id,(double) object[i].bounding_box.width,
(double) object[i].bounding_box.height,(double)
object[i].bounding_box.x,(double) object[i].bounding_box.y,
object[i].centroid.x,object[i].centroid.y,
GetMagickPrecision(),(double) object[i].area,mean_color);
for (j=0; j <= n; j++)
(void) fprintf(stdout," %.*g",GetMagickPrecision(),
object[i].metric[j]);
(void) fprintf(stdout,"\n");
}
}
}
if (objects == (CCObjectInfo **) NULL)
object=(CCObjectInfo *) RelinquishMagickMemory(object);
else
*objects=object;
return(component_image);
}
|
image.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% IIIII M M AAA GGGG EEEEE %
% I MM MM A A G E %
% I M M M AAAAA G GG EEE %
% I M M A A G G E %
% IIIII M M A A GGGG EEEEE %
% %
% %
% MagickCore Image Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2018 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/animate.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/client.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colormap.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/compress.h"
#include "MagickCore/constitute.h"
#include "MagickCore/delegate.h"
#include "MagickCore/display.h"
#include "MagickCore/draw.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/gem.h"
#include "MagickCore/geometry.h"
#include "MagickCore/histogram.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/magic.h"
#include "MagickCore/magick.h"
#include "MagickCore/magick-private.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/module.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/paint.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/profile.h"
#include "MagickCore/property.h"
#include "MagickCore/quantize.h"
#include "MagickCore/random_.h"
#include "MagickCore/resource_.h"
#include "MagickCore/segment.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/signature-private.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/threshold.h"
#include "MagickCore/timer.h"
#include "MagickCore/token.h"
#include "MagickCore/token-private.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
#include "MagickCore/version.h"
#include "MagickCore/xwindow-private.h"
/*
Constant declaration.
*/
const char
BackgroundColor[] = "#ffffff", /* white */
BorderColor[] = "#dfdfdf", /* gray */
DefaultTileFrame[] = "15x15+3+3",
DefaultTileGeometry[] = "120x120+4+3>",
DefaultTileLabel[] = "%f\n%G\n%b",
ForegroundColor[] = "#000", /* black */
LoadImageTag[] = "Load/Image",
LoadImagesTag[] = "Load/Images",
MatteColor[] = "#bdbdbd", /* gray */
PSDensityGeometry[] = "72.0x72.0",
PSPageGeometry[] = "612x792",
SaveImageTag[] = "Save/Image",
SaveImagesTag[] = "Save/Images",
TransparentColor[] = "#00000000"; /* transparent black */
const double
DefaultResolution = 72.0;
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireImage() returns a pointer to an image structure initialized to
% default values.
%
% The format of the AcquireImage method is:
%
% Image *AcquireImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Many of the image default values are set from this
% structure. For example, filename, compression, depth, background color,
% and others.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AcquireImage(const ImageInfo *image_info,
ExceptionInfo *exception)
{
const char
*option;
Image
*image;
MagickStatusType
flags;
/*
Allocate image structure.
*/
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
image=(Image *) AcquireCriticalMemory(sizeof(*image));
(void) memset(image,0,sizeof(*image));
/*
Initialize Image structure.
*/
(void) CopyMagickString(image->magick,"MIFF",MagickPathExtent);
image->storage_class=DirectClass;
image->depth=MAGICKCORE_QUANTUM_DEPTH;
image->colorspace=sRGBColorspace;
image->rendering_intent=PerceptualIntent;
image->gamma=1.000f/2.200f;
image->chromaticity.red_primary.x=0.6400f;
image->chromaticity.red_primary.y=0.3300f;
image->chromaticity.red_primary.z=0.0300f;
image->chromaticity.green_primary.x=0.3000f;
image->chromaticity.green_primary.y=0.6000f;
image->chromaticity.green_primary.z=0.1000f;
image->chromaticity.blue_primary.x=0.1500f;
image->chromaticity.blue_primary.y=0.0600f;
image->chromaticity.blue_primary.z=0.7900f;
image->chromaticity.white_point.x=0.3127f;
image->chromaticity.white_point.y=0.3290f;
image->chromaticity.white_point.z=0.3583f;
image->interlace=NoInterlace;
image->ticks_per_second=UndefinedTicksPerSecond;
image->compose=OverCompositeOp;
(void) QueryColorCompliance(MatteColor,AllCompliance,&image->matte_color,
exception);
(void) QueryColorCompliance(BackgroundColor,AllCompliance,
&image->background_color,exception);
(void) QueryColorCompliance(BorderColor,AllCompliance,&image->border_color,
exception);
(void) QueryColorCompliance(TransparentColor,AllCompliance,
&image->transparent_color,exception);
GetTimerInfo(&image->timer);
image->cache=AcquirePixelCache(0);
image->channel_mask=DefaultChannels;
image->channel_map=AcquirePixelChannelMap();
image->blob=CloneBlobInfo((BlobInfo *) NULL);
image->timestamp=time((time_t *) NULL);
image->debug=IsEventLogging();
image->reference_count=1;
image->semaphore=AcquireSemaphoreInfo();
image->signature=MagickCoreSignature;
if (image_info == (ImageInfo *) NULL)
return(image);
/*
Transfer image info.
*/
SetBlobExempt(image,image_info->file != (FILE *) NULL ? MagickTrue :
MagickFalse);
(void) CopyMagickString(image->filename,image_info->filename,
MagickPathExtent);
(void) CopyMagickString(image->magick_filename,image_info->filename,
MagickPathExtent);
(void) CopyMagickString(image->magick,image_info->magick,MagickPathExtent);
if (image_info->size != (char *) NULL)
{
(void) ParseAbsoluteGeometry(image_info->size,&image->extract_info);
image->columns=image->extract_info.width;
image->rows=image->extract_info.height;
image->offset=image->extract_info.x;
image->extract_info.x=0;
image->extract_info.y=0;
}
if (image_info->extract != (char *) NULL)
{
RectangleInfo
geometry;
(void) memset(&geometry,0,sizeof(geometry));
flags=ParseAbsoluteGeometry(image_info->extract,&geometry);
if (((flags & XValue) != 0) || ((flags & YValue) != 0))
{
image->extract_info=geometry;
Swap(image->columns,image->extract_info.width);
Swap(image->rows,image->extract_info.height);
}
}
image->compression=image_info->compression;
image->quality=image_info->quality;
image->endian=image_info->endian;
image->interlace=image_info->interlace;
image->units=image_info->units;
if (image_info->density != (char *) NULL)
{
GeometryInfo
geometry_info;
flags=ParseGeometry(image_info->density,&geometry_info);
image->resolution.x=geometry_info.rho;
image->resolution.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->resolution.y=image->resolution.x;
}
if (image_info->page != (char *) NULL)
{
char
*geometry;
image->page=image->extract_info;
geometry=GetPageGeometry(image_info->page);
(void) ParseAbsoluteGeometry(geometry,&image->page);
geometry=DestroyString(geometry);
}
if (image_info->depth != 0)
image->depth=image_info->depth;
image->dither=image_info->dither;
image->matte_color=image_info->matte_color;
image->background_color=image_info->background_color;
image->border_color=image_info->border_color;
image->transparent_color=image_info->transparent_color;
image->ping=image_info->ping;
image->progress_monitor=image_info->progress_monitor;
image->client_data=image_info->client_data;
if (image_info->cache != (void *) NULL)
ClonePixelCacheMethods(image->cache,image_info->cache);
/*
Set all global options that map to per-image settings.
*/
(void) SyncImageSettings(image_info,image,exception);
/*
Global options that are only set for new images.
*/
option=GetImageOption(image_info,"delay");
if (option != (const char *) NULL)
{
GeometryInfo
geometry_info;
flags=ParseGeometry(option,&geometry_info);
if ((flags & GreaterValue) != 0)
{
if (image->delay > (size_t) floor(geometry_info.rho+0.5))
image->delay=(size_t) floor(geometry_info.rho+0.5);
}
else
if ((flags & LessValue) != 0)
{
if (image->delay < (size_t) floor(geometry_info.rho+0.5))
image->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
else
image->delay=(size_t) floor(geometry_info.rho+0.5);
if ((flags & SigmaValue) != 0)
image->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
option=GetImageOption(image_info,"dispose");
if (option != (const char *) NULL)
image->dispose=(DisposeType) ParseCommandOption(MagickDisposeOptions,
MagickFalse,option);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireImageInfo() allocates the ImageInfo structure.
%
% The format of the AcquireImageInfo method is:
%
% ImageInfo *AcquireImageInfo(void)
%
*/
MagickExport ImageInfo *AcquireImageInfo(void)
{
ImageInfo
*image_info;
image_info=(ImageInfo *) AcquireCriticalMemory(sizeof(*image_info));
GetImageInfo(image_info);
return(image_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e N e x t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireNextImage() initializes the next image in a sequence to
% default values. The next member of image points to the newly allocated
% image. If there is a memory shortage, next is assigned NULL.
%
% The format of the AcquireNextImage method is:
%
% void AcquireNextImage(const ImageInfo *image_info,Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Many of the image default values are set from this
% structure. For example, filename, compression, depth, background color,
% and others.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void AcquireNextImage(const ImageInfo *image_info,Image *image,
ExceptionInfo *exception)
{
/*
Allocate image structure.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
image->next=AcquireImage(image_info,exception);
if (GetNextImageInList(image) == (Image *) NULL)
return;
(void) CopyMagickString(GetNextImageInList(image)->filename,image->filename,
MagickPathExtent);
if (image_info != (ImageInfo *) NULL)
(void) CopyMagickString(GetNextImageInList(image)->filename,
image_info->filename,MagickPathExtent);
DestroyBlob(GetNextImageInList(image));
image->next->blob=ReferenceBlob(image->blob);
image->next->endian=image->endian;
image->next->scene=image->scene+1;
image->next->previous=image;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A p p e n d I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AppendImages() takes all images from the current image pointer to the end
% of the image list and appends them to each other top-to-bottom if the
% stack parameter is true, otherwise left-to-right.
%
% The current gravity setting effects how the image is justified in the
% final image.
%
% The format of the AppendImages method is:
%
% Image *AppendImages(const Image *images,const MagickBooleanType stack,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o stack: A value other than 0 stacks the images top-to-bottom.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AppendImages(const Image *images,
const MagickBooleanType stack,ExceptionInfo *exception)
{
#define AppendImageTag "Append/Image"
CacheView
*append_view;
Image
*append_image;
MagickBooleanType
homogeneous_colorspace,
status;
MagickOffsetType
n;
PixelTrait
alpha_trait;
RectangleInfo
geometry;
register const Image
*next;
size_t
depth,
height,
number_images,
width;
ssize_t
x_offset,
y,
y_offset;
/*
Compute maximum area of appended area.
*/
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
alpha_trait=images->alpha_trait;
number_images=1;
width=images->columns;
height=images->rows;
depth=images->depth;
homogeneous_colorspace=MagickTrue;
next=GetNextImageInList(images);
for ( ; next != (Image *) NULL; next=GetNextImageInList(next))
{
if (next->depth > depth)
depth=next->depth;
if (next->colorspace != images->colorspace)
homogeneous_colorspace=MagickFalse;
if (next->alpha_trait != UndefinedPixelTrait)
alpha_trait=BlendPixelTrait;
number_images++;
if (stack != MagickFalse)
{
if (next->columns > width)
width=next->columns;
height+=next->rows;
continue;
}
width+=next->columns;
if (next->rows > height)
height=next->rows;
}
/*
Append images.
*/
append_image=CloneImage(images,width,height,MagickTrue,exception);
if (append_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(append_image,DirectClass,exception) == MagickFalse)
{
append_image=DestroyImage(append_image);
return((Image *) NULL);
}
if (homogeneous_colorspace == MagickFalse)
(void) SetImageColorspace(append_image,sRGBColorspace,exception);
append_image->depth=depth;
append_image->alpha_trait=alpha_trait;
append_image->page=images->page;
(void) SetImageBackgroundColor(append_image,exception);
status=MagickTrue;
x_offset=0;
y_offset=0;
next=images;
append_view=AcquireAuthenticCacheView(append_image,exception);
for (n=0; n < (MagickOffsetType) number_images; n++)
{
CacheView
*image_view;
MagickBooleanType
proceed;
SetGeometry(append_image,&geometry);
GravityAdjustGeometry(next->columns,next->rows,next->gravity,&geometry);
if (stack != MagickFalse)
x_offset-=geometry.x;
else
y_offset-=geometry.y;
image_view=AcquireVirtualCacheView(next,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(next,next,next->rows,1)
#endif
for (y=0; y < (ssize_t) next->rows; y++)
{
MagickBooleanType
sync;
PixelInfo
pixel;
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
q=QueueCacheViewAuthenticPixels(append_view,x_offset,y+y_offset,
next->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
GetPixelInfo(next,&pixel);
for (x=0; x < (ssize_t) next->columns; x++)
{
GetPixelInfoPixel(next,p,&pixel);
SetPixelViaPixelInfo(append_image,&pixel,q);
p+=GetPixelChannels(next);
q+=GetPixelChannels(append_image);
}
sync=SyncCacheViewAuthenticPixels(append_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (stack == MagickFalse)
{
x_offset+=(ssize_t) next->columns;
y_offset=0;
}
else
{
x_offset=0;
y_offset+=(ssize_t) next->rows;
}
proceed=SetImageProgress(append_image,AppendImageTag,n,number_images);
if (proceed == MagickFalse)
break;
next=GetNextImageInList(next);
}
append_view=DestroyCacheView(append_view);
if (status == MagickFalse)
append_image=DestroyImage(append_image);
return(append_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C a t c h I m a g e E x c e p t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CatchImageException() returns if no exceptions are found in the image
% sequence, otherwise it determines the most severe exception and reports
% it as a warning or error depending on the severity.
%
% The format of the CatchImageException method is:
%
% ExceptionType CatchImageException(Image *image)
%
% A description of each parameter follows:
%
% o image: An image sequence.
%
*/
MagickExport ExceptionType CatchImageException(Image *image)
{
ExceptionInfo
*exception;
ExceptionType
severity;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
exception=AcquireExceptionInfo();
CatchException(exception);
severity=exception->severity;
exception=DestroyExceptionInfo(exception);
return(severity);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l i p I m a g e P a t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClipImagePath() sets the image clip mask based any clipping path information
% if it exists.
%
% The format of the ClipImagePath method is:
%
% MagickBooleanType ClipImagePath(Image *image,const char *pathname,
% const MagickBooleanType inside,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o pathname: name of clipping path resource. If name is preceded by #, use
% clipping path numbered by name.
%
% o inside: if non-zero, later operations take effect inside clipping path.
% Otherwise later operations take effect outside clipping path.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ClipImage(Image *image,ExceptionInfo *exception)
{
return(ClipImagePath(image,"#1",MagickTrue,exception));
}
MagickExport MagickBooleanType ClipImagePath(Image *image,const char *pathname,
const MagickBooleanType inside,ExceptionInfo *exception)
{
#define ClipImagePathTag "ClipPath/Image"
char
*property;
const char
*value;
Image
*clip_mask;
ImageInfo
*image_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(pathname != NULL);
property=AcquireString(pathname);
(void) FormatLocaleString(property,MagickPathExtent,"8BIM:1999,2998:%s",
pathname);
value=GetImageProperty(image,property,exception);
property=DestroyString(property);
if (value == (const char *) NULL)
{
ThrowFileException(exception,OptionError,"NoClipPathDefined",
image->filename);
return(MagickFalse);
}
image_info=AcquireImageInfo();
(void) CopyMagickString(image_info->filename,image->filename,
MagickPathExtent);
(void) ConcatenateMagickString(image_info->filename,pathname,
MagickPathExtent);
clip_mask=BlobToImage(image_info,value,strlen(value),exception);
image_info=DestroyImageInfo(image_info);
if (clip_mask == (Image *) NULL)
return(MagickFalse);
if (clip_mask->storage_class == PseudoClass)
{
(void) SyncImage(clip_mask,exception);
if (SetImageStorageClass(clip_mask,DirectClass,exception) == MagickFalse)
return(MagickFalse);
}
if (inside == MagickFalse)
(void) NegateImage(clip_mask,MagickFalse,exception);
(void) FormatLocaleString(clip_mask->magick_filename,MagickPathExtent,
"8BIM:1999,2998:%s\nPS",pathname);
(void) SetImageMask(image,WritePixelMask,clip_mask,exception);
clip_mask=DestroyImage(clip_mask);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImage() copies an image and returns the copy as a new image object.
%
% If the specified columns and rows is 0, an exact copy of the image is
% returned, otherwise the pixel data is undefined and must be initialized
% with the QueueAuthenticPixels() and SyncAuthenticPixels() methods. On
% failure, a NULL image is returned and exception describes the reason for the
% failure.
%
% The format of the CloneImage method is:
%
% Image *CloneImage(const Image *image,const size_t columns,
% const size_t rows,const MagickBooleanType orphan,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the cloned image.
%
% o rows: the number of rows in the cloned image.
%
% o detach: With a value other than 0, the cloned image is detached from
% its parent I/O stream.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CloneImage(const Image *image,const size_t columns,
const size_t rows,const MagickBooleanType detach,ExceptionInfo *exception)
{
Image
*clone_image;
double
scale;
size_t
length;
/*
Clone the image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((image->columns == 0) || (image->rows == 0))
{
(void) ThrowMagickException(exception,GetMagickModule(),CorruptImageError,
"NegativeOrZeroImageSize","`%s'",image->filename);
return((Image *) NULL);
}
clone_image=(Image *) AcquireCriticalMemory(sizeof(*clone_image));
(void) memset(clone_image,0,sizeof(*clone_image));
clone_image->signature=MagickCoreSignature;
clone_image->storage_class=image->storage_class;
clone_image->number_channels=image->number_channels;
clone_image->number_meta_channels=image->number_meta_channels;
clone_image->metacontent_extent=image->metacontent_extent;
clone_image->colorspace=image->colorspace;
clone_image->alpha_trait=image->alpha_trait;
clone_image->channels=image->channels;
clone_image->mask_trait=image->mask_trait;
clone_image->columns=image->columns;
clone_image->rows=image->rows;
clone_image->dither=image->dither;
clone_image->image_info=CloneImageInfo(image->image_info);
(void) CloneImageProfiles(clone_image,image);
(void) CloneImageProperties(clone_image,image);
(void) CloneImageArtifacts(clone_image,image);
GetTimerInfo(&clone_image->timer);
if (image->ascii85 != (void *) NULL)
Ascii85Initialize(clone_image);
clone_image->magick_columns=image->magick_columns;
clone_image->magick_rows=image->magick_rows;
clone_image->type=image->type;
clone_image->channel_mask=image->channel_mask;
clone_image->channel_map=ClonePixelChannelMap(image->channel_map);
(void) CopyMagickString(clone_image->magick_filename,image->magick_filename,
MagickPathExtent);
(void) CopyMagickString(clone_image->magick,image->magick,MagickPathExtent);
(void) CopyMagickString(clone_image->filename,image->filename,
MagickPathExtent);
clone_image->progress_monitor=image->progress_monitor;
clone_image->client_data=image->client_data;
clone_image->reference_count=1;
clone_image->next=image->next;
clone_image->previous=image->previous;
clone_image->list=NewImageList();
if (detach == MagickFalse)
clone_image->blob=ReferenceBlob(image->blob);
else
{
clone_image->next=NewImageList();
clone_image->previous=NewImageList();
clone_image->blob=CloneBlobInfo((BlobInfo *) NULL);
}
clone_image->ping=image->ping;
clone_image->debug=IsEventLogging();
clone_image->semaphore=AcquireSemaphoreInfo();
if (image->colormap != (PixelInfo *) NULL)
{
/*
Allocate and copy the image colormap.
*/
clone_image->colors=image->colors;
length=(size_t) image->colors;
clone_image->colormap=(PixelInfo *) AcquireQuantumMemory(length+1,
sizeof(*clone_image->colormap));
if (clone_image->colormap == (PixelInfo *) NULL)
{
clone_image=DestroyImage(clone_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) memcpy(clone_image->colormap,image->colormap,length*
sizeof(*clone_image->colormap));
}
if ((columns == 0) || (rows == 0))
{
if (image->montage != (char *) NULL)
(void) CloneString(&clone_image->montage,image->montage);
if (image->directory != (char *) NULL)
(void) CloneString(&clone_image->directory,image->directory);
clone_image->cache=ReferencePixelCache(image->cache);
return(clone_image);
}
scale=1.0;
if (image->columns != 0)
scale=(double) columns/(double) image->columns;
clone_image->page.width=(size_t) floor(scale*image->page.width+0.5);
clone_image->page.x=(ssize_t) ceil(scale*image->page.x-0.5);
clone_image->tile_offset.x=(ssize_t) ceil(scale*image->tile_offset.x-0.5);
scale=1.0;
if (image->rows != 0)
scale=(double) rows/(double) image->rows;
clone_image->page.height=(size_t) floor(scale*image->page.height+0.5);
clone_image->page.y=(ssize_t) ceil(scale*image->page.y-0.5);
clone_image->tile_offset.y=(ssize_t) ceil(scale*image->tile_offset.y-0.5);
clone_image->cache=ClonePixelCache(image->cache);
if (SetImageExtent(clone_image,columns,rows,exception) == MagickFalse)
clone_image=DestroyImage(clone_image);
return(clone_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImageInfo() makes a copy of the given image info structure. If
% NULL is specified, a new image info structure is created initialized to
% default values.
%
% The format of the CloneImageInfo method is:
%
% ImageInfo *CloneImageInfo(const ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport ImageInfo *CloneImageInfo(const ImageInfo *image_info)
{
ImageInfo
*clone_info;
clone_info=AcquireImageInfo();
if (image_info == (ImageInfo *) NULL)
return(clone_info);
clone_info->compression=image_info->compression;
clone_info->temporary=image_info->temporary;
clone_info->adjoin=image_info->adjoin;
clone_info->antialias=image_info->antialias;
clone_info->scene=image_info->scene;
clone_info->number_scenes=image_info->number_scenes;
clone_info->depth=image_info->depth;
if (image_info->size != (char *) NULL)
(void) CloneString(&clone_info->size,image_info->size);
if (image_info->extract != (char *) NULL)
(void) CloneString(&clone_info->extract,image_info->extract);
if (image_info->scenes != (char *) NULL)
(void) CloneString(&clone_info->scenes,image_info->scenes);
if (image_info->page != (char *) NULL)
(void) CloneString(&clone_info->page,image_info->page);
clone_info->interlace=image_info->interlace;
clone_info->endian=image_info->endian;
clone_info->units=image_info->units;
clone_info->quality=image_info->quality;
if (image_info->sampling_factor != (char *) NULL)
(void) CloneString(&clone_info->sampling_factor,
image_info->sampling_factor);
if (image_info->server_name != (char *) NULL)
(void) CloneString(&clone_info->server_name,image_info->server_name);
if (image_info->font != (char *) NULL)
(void) CloneString(&clone_info->font,image_info->font);
if (image_info->texture != (char *) NULL)
(void) CloneString(&clone_info->texture,image_info->texture);
if (image_info->density != (char *) NULL)
(void) CloneString(&clone_info->density,image_info->density);
clone_info->pointsize=image_info->pointsize;
clone_info->fuzz=image_info->fuzz;
clone_info->matte_color=image_info->matte_color;
clone_info->background_color=image_info->background_color;
clone_info->border_color=image_info->border_color;
clone_info->transparent_color=image_info->transparent_color;
clone_info->dither=image_info->dither;
clone_info->monochrome=image_info->monochrome;
clone_info->colorspace=image_info->colorspace;
clone_info->type=image_info->type;
clone_info->orientation=image_info->orientation;
clone_info->ping=image_info->ping;
clone_info->verbose=image_info->verbose;
clone_info->progress_monitor=image_info->progress_monitor;
clone_info->client_data=image_info->client_data;
clone_info->cache=image_info->cache;
if (image_info->cache != (void *) NULL)
clone_info->cache=ReferencePixelCache(image_info->cache);
if (image_info->profile != (void *) NULL)
clone_info->profile=(void *) CloneStringInfo((StringInfo *)
image_info->profile);
SetImageInfoFile(clone_info,image_info->file);
SetImageInfoBlob(clone_info,image_info->blob,image_info->length);
clone_info->stream=image_info->stream;
clone_info->custom_stream=image_info->custom_stream;
(void) CopyMagickString(clone_info->magick,image_info->magick,
MagickPathExtent);
(void) CopyMagickString(clone_info->unique,image_info->unique,
MagickPathExtent);
(void) CopyMagickString(clone_info->filename,image_info->filename,
MagickPathExtent);
clone_info->channel=image_info->channel;
(void) CloneImageOptions(clone_info,image_info);
clone_info->debug=IsEventLogging();
clone_info->signature=image_info->signature;
return(clone_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o p y I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CopyImagePixels() copies pixels from the source image as defined by the
% geometry the destination image at the specified offset.
%
% The format of the CopyImagePixels method is:
%
% MagickBooleanType CopyImagePixels(Image *image,const Image *source_image,
% const RectangleInfo *geometry,const OffsetInfo *offset,
% ExceptionInfo *exception);
%
% A description of each parameter follows:
%
% o image: the destination image.
%
% o source_image: the source image.
%
% o geometry: define the dimensions of the source pixel rectangle.
%
% o offset: define the offset in the destination image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType CopyImagePixels(Image *image,
const Image *source_image,const RectangleInfo *geometry,
const OffsetInfo *offset,ExceptionInfo *exception)
{
#define CopyImageTag "Copy/Image"
CacheView
*image_view,
*source_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(source_image != (Image *) NULL);
assert(geometry != (RectangleInfo *) NULL);
assert(offset != (OffsetInfo *) NULL);
if ((offset->x < 0) || (offset->y < 0) ||
((ssize_t) (offset->x+geometry->width) > (ssize_t) image->columns) ||
((ssize_t) (offset->y+geometry->height) > (ssize_t) image->rows))
ThrowBinaryException(OptionError,"GeometryDoesNotContainImage",
image->filename);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
/*
Copy image pixels.
*/
status=MagickTrue;
progress=0;
source_view=AcquireVirtualCacheView(source_image,exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,source_image,geometry->height,1)
#endif
for (y=0; y < (ssize_t) geometry->height; y++)
{
MagickBooleanType
sync;
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(source_view,geometry->x,y+geometry->y,
geometry->width,1,exception);
q=QueueCacheViewAuthenticPixels(image_view,offset->x,y+offset->y,
geometry->width,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) geometry->width; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait source_traits=GetPixelChannelTraits(source_image,channel);
if ((traits == UndefinedPixelTrait) ||
((traits & UpdatePixelTrait) == 0) ||
(source_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(image,channel,p[i],q);
}
p+=GetPixelChannels(source_image);
q+=GetPixelChannels(image);
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_CopyImage)
#endif
proceed=SetImageProgress(image,CopyImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
source_view=DestroyCacheView(source_view);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImage() dereferences an image, deallocating memory associated with
% the image if the reference count becomes zero.
%
% The format of the DestroyImage method is:
%
% Image *DestroyImage(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Image *DestroyImage(Image *image)
{
MagickBooleanType
destroy;
/*
Dereference image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
destroy=MagickFalse;
LockSemaphoreInfo(image->semaphore);
image->reference_count--;
if (image->reference_count == 0)
destroy=MagickTrue;
UnlockSemaphoreInfo(image->semaphore);
if (destroy == MagickFalse)
return((Image *) NULL);
/*
Destroy image.
*/
DestroyImagePixels(image);
image->channel_map=DestroyPixelChannelMap(image->channel_map);
if (image->montage != (char *) NULL)
image->montage=DestroyString(image->montage);
if (image->directory != (char *) NULL)
image->directory=DestroyString(image->directory);
if (image->colormap != (PixelInfo *) NULL)
image->colormap=(PixelInfo *) RelinquishMagickMemory(image->colormap);
if (image->geometry != (char *) NULL)
image->geometry=DestroyString(image->geometry);
DestroyImageProfiles(image);
DestroyImageProperties(image);
DestroyImageArtifacts(image);
if (image->ascii85 != (Ascii85Info *) NULL)
image->ascii85=(Ascii85Info *) RelinquishMagickMemory(image->ascii85);
if (image->image_info != (ImageInfo *) NULL)
image->image_info=DestroyImageInfo(image->image_info);
DestroyBlob(image);
if (image->semaphore != (SemaphoreInfo *) NULL)
RelinquishSemaphoreInfo(&image->semaphore);
image->signature=(~MagickCoreSignature);
image=(Image *) RelinquishMagickMemory(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImageInfo() deallocates memory associated with an ImageInfo
% structure.
%
% The format of the DestroyImageInfo method is:
%
% ImageInfo *DestroyImageInfo(ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport ImageInfo *DestroyImageInfo(ImageInfo *image_info)
{
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
if (image_info->size != (char *) NULL)
image_info->size=DestroyString(image_info->size);
if (image_info->extract != (char *) NULL)
image_info->extract=DestroyString(image_info->extract);
if (image_info->scenes != (char *) NULL)
image_info->scenes=DestroyString(image_info->scenes);
if (image_info->page != (char *) NULL)
image_info->page=DestroyString(image_info->page);
if (image_info->sampling_factor != (char *) NULL)
image_info->sampling_factor=DestroyString(
image_info->sampling_factor);
if (image_info->server_name != (char *) NULL)
image_info->server_name=DestroyString(
image_info->server_name);
if (image_info->font != (char *) NULL)
image_info->font=DestroyString(image_info->font);
if (image_info->texture != (char *) NULL)
image_info->texture=DestroyString(image_info->texture);
if (image_info->density != (char *) NULL)
image_info->density=DestroyString(image_info->density);
if (image_info->cache != (void *) NULL)
image_info->cache=DestroyPixelCache(image_info->cache);
if (image_info->profile != (StringInfo *) NULL)
image_info->profile=(void *) DestroyStringInfo((StringInfo *)
image_info->profile);
DestroyImageOptions(image_info);
image_info->signature=(~MagickCoreSignature);
image_info=(ImageInfo *) RelinquishMagickMemory(image_info);
return(image_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D i s a s s o c i a t e I m a g e S t r e a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DisassociateImageStream() disassociates the image stream. It checks if the
% blob of the specified image is referenced by other images. If the reference
% count is higher then 1 a new blob is assigned to the specified image.
%
% The format of the DisassociateImageStream method is:
%
% void DisassociateImageStream(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void DisassociateImageStream(Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
DisassociateBlob(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageInfo() initializes image_info to default values.
%
% The format of the GetImageInfo method is:
%
% void GetImageInfo(ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport void GetImageInfo(ImageInfo *image_info)
{
char
*synchronize;
ExceptionInfo
*exception;
/*
File and image dimension members.
*/
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image_info != (ImageInfo *) NULL);
(void) memset(image_info,0,sizeof(*image_info));
image_info->adjoin=MagickTrue;
image_info->interlace=NoInterlace;
image_info->channel=DefaultChannels;
image_info->quality=UndefinedCompressionQuality;
image_info->antialias=MagickTrue;
image_info->dither=MagickTrue;
synchronize=GetEnvironmentValue("MAGICK_SYNCHRONIZE");
if (synchronize != (const char *) NULL)
{
image_info->synchronize=IsStringTrue(synchronize);
synchronize=DestroyString(synchronize);
}
exception=AcquireExceptionInfo();
(void) QueryColorCompliance(BackgroundColor,AllCompliance,
&image_info->background_color,exception);
(void) QueryColorCompliance(BorderColor,AllCompliance,
&image_info->border_color,exception);
(void) QueryColorCompliance(MatteColor,AllCompliance,&image_info->matte_color,
exception);
(void) QueryColorCompliance(TransparentColor,AllCompliance,
&image_info->transparent_color,exception);
exception=DestroyExceptionInfo(exception);
image_info->debug=IsEventLogging();
image_info->signature=MagickCoreSignature;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e I n f o F i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageInfoFile() returns the image info file member.
%
% The format of the GetImageInfoFile method is:
%
% FILE *GetImageInfoFile(const ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport FILE *GetImageInfoFile(const ImageInfo *image_info)
{
return(image_info->file);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageMask() returns the mask associated with the image.
%
% The format of the GetImageMask method is:
%
% Image *GetImageMask(const Image *image,const PixelMask type,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o type: the mask type, ReadPixelMask or WritePixelMask.
%
*/
MagickExport Image *GetImageMask(const Image *image,const PixelMask type,
ExceptionInfo *exception)
{
CacheView
*mask_view,
*image_view;
Image
*mask_image;
MagickBooleanType
status;
ssize_t
y;
/*
Get image mask.
*/
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
mask_image=AcquireImage((ImageInfo *) NULL,exception);
status=SetImageExtent(mask_image,image->columns,image->rows,exception);
if (status == MagickFalse)
return(DestroyImage(mask_image));
status=MagickTrue;
mask_image->alpha_trait=UndefinedPixelTrait;
(void) SetImageColorspace(mask_image,GRAYColorspace,exception);
image_view=AcquireVirtualCacheView(image,exception);
mask_view=AcquireAuthenticCacheView(mask_image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewAuthenticPixels(mask_view,0,y,mask_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
switch (type)
{
case ReadPixelMask:
{
SetPixelGray(mask_image,GetPixelReadMask(image,p),q);
break;
}
case WritePixelMask:
{
SetPixelGray(mask_image,GetPixelWriteMask(image,p),q);
break;
}
default:
{
SetPixelGray(mask_image,GetPixelCompositeMask(image,p),q);
break;
}
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(mask_image);
}
if (SyncCacheViewAuthenticPixels(mask_view,exception) == MagickFalse)
status=MagickFalse;
}
mask_view=DestroyCacheView(mask_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
mask_image=DestroyImage(mask_image);
return(mask_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e R e f e r e n c e C o u n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageReferenceCount() returns the image reference count.
%
% The format of the GetReferenceCount method is:
%
% ssize_t GetImageReferenceCount(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport ssize_t GetImageReferenceCount(Image *image)
{
ssize_t
reference_count;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
LockSemaphoreInfo(image->semaphore);
reference_count=image->reference_count;
UnlockSemaphoreInfo(image->semaphore);
return(reference_count);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i r t u a l P i x e l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageVirtualPixelMethod() gets the "virtual pixels" method for the
% image. A virtual pixel is any pixel access that is outside the boundaries
% of the image cache.
%
% The format of the GetImageVirtualPixelMethod() method is:
%
% VirtualPixelMethod GetImageVirtualPixelMethod(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport VirtualPixelMethod GetImageVirtualPixelMethod(const Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
return(GetPixelCacheVirtualMethod(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n t e r p r e t I m a g e F i l e n a m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InterpretImageFilename() interprets embedded characters in an image filename.
% The filename length is returned.
%
% The format of the InterpretImageFilename method is:
%
% size_t InterpretImageFilename(const ImageInfo *image_info,Image *image,
% const char *format,int value,char *filename,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image_info: the image info..
%
% o image: the image.
%
% o format: A filename describing the format to use to write the numeric
% argument. Only the first numeric format identifier is replaced.
%
% o value: Numeric value to substitute into format filename.
%
% o filename: return the formatted filename in this character buffer.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport size_t InterpretImageFilename(const ImageInfo *image_info,
Image *image,const char *format,int value,char *filename,
ExceptionInfo *exception)
{
char
*q;
int
c;
MagickBooleanType
canonical;
register const char
*p;
ssize_t
field_width,
offset;
canonical=MagickFalse;
offset=0;
(void) CopyMagickString(filename,format,MagickPathExtent);
for (p=strchr(format,'%'); p != (char *) NULL; p=strchr(p+1,'%'))
{
q=(char *) p+1;
if (*q == '%')
{
p=q+1;
continue;
}
field_width=0;
if (*q == '0')
field_width=(ssize_t) strtol(q,&q,10);
switch (*q)
{
case 'd':
case 'o':
case 'x':
{
q++;
c=(*q);
*q='\0';
(void) FormatLocaleString(filename+(p-format-offset),(size_t)
(MagickPathExtent-(p-format-offset)),p,value);
offset+=(4-field_width);
*q=c;
(void) ConcatenateMagickString(filename,q,MagickPathExtent);
canonical=MagickTrue;
if (*(q-1) != '%')
break;
p++;
break;
}
case '[':
{
char
pattern[MagickPathExtent];
const char
*option;
register char
*r;
register ssize_t
i;
ssize_t
depth;
/*
Image option.
*/
if (strchr(p,']') == (char *) NULL)
break;
depth=1;
r=q+1;
for (i=0; (i < (MagickPathExtent-1L)) && (*r != '\0'); i++)
{
if (*r == '[')
depth++;
if (*r == ']')
depth--;
if (depth <= 0)
break;
pattern[i]=(*r++);
}
pattern[i]='\0';
if (LocaleNCompare(pattern,"filename:",9) != 0)
break;
option=(const char *) NULL;
if (image != (Image *) NULL)
option=GetImageProperty(image,pattern,exception);
if ((option == (const char *) NULL) && (image != (Image *) NULL))
option=GetImageArtifact(image,pattern);
if ((option == (const char *) NULL) &&
(image_info != (ImageInfo *) NULL))
option=GetImageOption(image_info,pattern);
if (option == (const char *) NULL)
break;
q--;
c=(*q);
*q='\0';
(void) CopyMagickString(filename+(p-format-offset),option,(size_t)
(MagickPathExtent-(p-format-offset)));
offset+=strlen(pattern)-4;
*q=c;
(void) ConcatenateMagickString(filename,r+1,MagickPathExtent);
canonical=MagickTrue;
if (*(q-1) != '%')
break;
p++;
break;
}
default:
break;
}
}
for (q=filename; *q != '\0'; q++)
if ((*q == '%') && (*(q+1) == '%'))
{
(void) CopyMagickString(q,q+1,(size_t) (MagickPathExtent-(q-filename)));
canonical=MagickTrue;
}
if (canonical == MagickFalse)
(void) CopyMagickString(filename,format,MagickPathExtent);
return(strlen(filename));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s H i g h D y n a m i c R a n g e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsHighDynamicRangeImage() returns MagickTrue if any pixel component is
% non-integer or exceeds the bounds of the quantum depth (e.g. for Q16
% 0..65535.
%
% The format of the IsHighDynamicRangeImage method is:
%
% MagickBooleanType IsHighDynamicRangeImage(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IsHighDynamicRangeImage(const Image *image,
ExceptionInfo *exception)
{
#if !defined(MAGICKCORE_HDRI_SUPPORT)
(void) image;
(void) exception;
return(MagickFalse);
#else
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
pixel;
PixelTrait
traits;
traits=GetPixelChannelTraits(image,(PixelChannel) i);
if (traits == UndefinedPixelTrait)
continue;
pixel=(double) p[i];
if ((pixel < 0.0) || (pixel > QuantumRange) ||
(pixel != (double) ((QuantumAny) pixel)))
break;
}
p+=GetPixelChannels(image);
if (i < (ssize_t) GetPixelChannels(image))
status=MagickFalse;
}
if (x < (ssize_t) image->columns)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status != MagickFalse ? MagickFalse : MagickTrue);
#endif
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e O b j e c t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImageObject() returns MagickTrue if the image sequence contains a valid
% set of image objects.
%
% The format of the IsImageObject method is:
%
% MagickBooleanType IsImageObject(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType IsImageObject(const Image *image)
{
register const Image
*p;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
for (p=image; p != (Image *) NULL; p=GetNextImageInList(p))
if (p->signature != MagickCoreSignature)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s T a i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsTaintImage() returns MagickTrue any pixel in the image has been altered
% since it was first constituted.
%
% The format of the IsTaintImage method is:
%
% MagickBooleanType IsTaintImage(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType IsTaintImage(const Image *image)
{
char
magick[MagickPathExtent],
filename[MagickPathExtent];
register const Image
*p;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
(void) CopyMagickString(magick,image->magick,MagickPathExtent);
(void) CopyMagickString(filename,image->filename,MagickPathExtent);
for (p=image; p != (Image *) NULL; p=GetNextImageInList(p))
{
if (p->taint != MagickFalse)
return(MagickTrue);
if (LocaleCompare(p->magick,magick) != 0)
return(MagickTrue);
if (LocaleCompare(p->filename,filename) != 0)
return(MagickTrue);
}
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o d i f y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ModifyImage() ensures that there is only a single reference to the image
% to be modified, updating the provided image pointer to point to a clone of
% the original image if necessary.
%
% The format of the ModifyImage method is:
%
% MagickBooleanType ModifyImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ModifyImage(Image **image,
ExceptionInfo *exception)
{
Image
*clone_image;
assert(image != (Image **) NULL);
assert(*image != (Image *) NULL);
assert((*image)->signature == MagickCoreSignature);
if ((*image)->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",(*image)->filename);
if (GetImageReferenceCount(*image) <= 1)
return(MagickTrue);
clone_image=CloneImage(*image,0,0,MagickTrue,exception);
LockSemaphoreInfo((*image)->semaphore);
(*image)->reference_count--;
UnlockSemaphoreInfo((*image)->semaphore);
*image=clone_image;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e w M a g i c k I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NewMagickImage() creates a blank image canvas of the specified size and
% background color.
%
% The format of the NewMagickImage method is:
%
% Image *NewMagickImage(const ImageInfo *image_info,const size_t width,
% const size_t height,const PixelInfo *background,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o width: the image width.
%
% o height: the image height.
%
% o background: the image color.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *NewMagickImage(const ImageInfo *image_info,
const size_t width,const size_t height,const PixelInfo *background,
ExceptionInfo *exception)
{
CacheView
*image_view;
Image
*image;
MagickBooleanType
status;
ssize_t
y;
assert(image_info != (const ImageInfo *) NULL);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image_info->signature == MagickCoreSignature);
assert(background != (const PixelInfo *) NULL);
image=AcquireImage(image_info,exception);
image->columns=width;
image->rows=height;
image->colorspace=background->colorspace;
image->alpha_trait=background->alpha_trait;
image->fuzz=background->fuzz;
image->depth=background->depth;
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelViaPixelInfo(image,background,q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e f e r e n c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReferenceImage() increments the reference count associated with an image
% returning a pointer to the image.
%
% The format of the ReferenceImage method is:
%
% Image *ReferenceImage(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Image *ReferenceImage(Image *image)
{
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
LockSemaphoreInfo(image->semaphore);
image->reference_count++;
UnlockSemaphoreInfo(image->semaphore);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s e t I m a g e P a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetImagePage() resets the image page canvas and position.
%
% The format of the ResetImagePage method is:
%
% MagickBooleanType ResetImagePage(Image *image,const char *page)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o page: the relative page specification.
%
*/
MagickExport MagickBooleanType ResetImagePage(Image *image,const char *page)
{
MagickStatusType
flags;
RectangleInfo
geometry;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
flags=ParseAbsoluteGeometry(page,&geometry);
if ((flags & WidthValue) != 0)
{
if ((flags & HeightValue) == 0)
geometry.height=geometry.width;
image->page.width=geometry.width;
image->page.height=geometry.height;
}
if ((flags & AspectValue) != 0)
{
if ((flags & XValue) != 0)
image->page.x+=geometry.x;
if ((flags & YValue) != 0)
image->page.y+=geometry.y;
}
else
{
if ((flags & XValue) != 0)
{
image->page.x=geometry.x;
if ((image->page.width == 0) && (geometry.x > 0))
image->page.width=image->columns+geometry.x;
}
if ((flags & YValue) != 0)
{
image->page.y=geometry.y;
if ((image->page.height == 0) && (geometry.y > 0))
image->page.height=image->rows+geometry.y;
}
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s e t I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetImagePixels() reset the image pixels, that is, all the pixel components
% are zereod.
%
% The format of the SetImage method is:
%
% MagickBooleanType ResetImagePixels(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ResetImagePixels(Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
size_t
length;
ssize_t
y;
void
*pixels;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
pixels=AcquirePixelCachePixels(image,&length,exception);
if (pixels != (void *) NULL)
{
/*
Reset in-core image pixels.
*/
(void) memset(pixels,0,length);
return(MagickTrue);
}
/*
Reset image pixels.
*/
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
(void) memset(q,0,GetPixelChannels(image)*sizeof(Quantum));
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e A l p h a %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageAlpha() sets the alpha levels of the image.
%
% The format of the SetImageAlpha method is:
%
% MagickBooleanType SetImageAlpha(Image *image,const Quantum alpha,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o alpha: the level of transparency: 0 is fully transparent and QuantumRange
% is fully opaque.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageAlpha(Image *image,const Quantum alpha,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
image->alpha_trait=BlendPixelTrait;
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelAlpha(image,alpha,q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e B a c k g r o u n d C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageBackgroundColor() initializes the image pixels to the image
% background color. The background color is defined by the background_color
% member of the image structure.
%
% The format of the SetImage method is:
%
% MagickBooleanType SetImageBackgroundColor(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageBackgroundColor(Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
PixelInfo
background;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if ((image->background_color.alpha != OpaqueAlpha) &&
(image->alpha_trait == UndefinedPixelTrait))
(void) SetImageAlphaChannel(image,OnAlphaChannel,exception);
ConformPixelInfo(image,&image->background_color,&background,exception);
/*
Set image background color.
*/
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelViaPixelInfo(image,&background,q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C h a n n e l M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageChannelMask() sets the image channel mask from the specified channel
% mask.
%
% The format of the SetImageChannelMask method is:
%
% ChannelType SetImageChannelMask(Image *image,
% const ChannelType channel_mask)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel_mask: the channel mask.
%
*/
MagickExport ChannelType SetImageChannelMask(Image *image,
const ChannelType channel_mask)
{
return(SetPixelChannelMask(image,channel_mask));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageColor() set the entire image canvas to the specified color.
%
% The format of the SetImageColor method is:
%
% MagickBooleanType SetImageColor(Image *image,const PixelInfo *color,
% ExeptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o background: the image color.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageColor(Image *image,
const PixelInfo *color,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
assert(color != (const PixelInfo *) NULL);
image->colorspace=color->colorspace;
image->alpha_trait=color->alpha_trait;
image->fuzz=color->fuzz;
image->depth=color->depth;
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelViaPixelInfo(image,color,q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e S t o r a g e C l a s s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageStorageClass() sets the image class: DirectClass for true color
% images or PseudoClass for colormapped images.
%
% The format of the SetImageStorageClass method is:
%
% MagickBooleanType SetImageStorageClass(Image *image,
% const ClassType storage_class,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o storage_class: The image class.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageStorageClass(Image *image,
const ClassType storage_class,ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image->storage_class=storage_class;
return(SyncImagePixelCache(image,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageExtent() sets the image size (i.e. columns & rows).
%
% The format of the SetImageExtent method is:
%
% MagickBooleanType SetImageExtent(Image *image,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: The image width in pixels.
%
% o rows: The image height in pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageExtent(Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
if ((columns == 0) || (rows == 0))
ThrowBinaryException(ImageError,"NegativeOrZeroImageSize",image->filename);
image->columns=columns;
image->rows=rows;
if ((image->depth == 0) || (image->depth > (8*sizeof(MagickSizeType))))
ThrowBinaryException(ImageError,"ImageDepthNotSupported",image->filename);
return(SyncImagePixelCache(image,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S e t I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageInfo() initializes the 'magick' field of the ImageInfo structure.
% It is set to a type of image format based on the prefix or suffix of the
% filename. For example, 'ps:image' returns PS indicating a Postscript image.
% JPEG is returned for this filename: 'image.jpg'. The filename prefix has
% precendence over the suffix. Use an optional index enclosed in brackets
% after a file name to specify a desired scene of a multi-resolution image
% format like Photo CD (e.g. img0001.pcd[4]). A True (non-zero) return value
% indicates success.
%
% The format of the SetImageInfo method is:
%
% MagickBooleanType SetImageInfo(ImageInfo *image_info,
% const unsigned int frames,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o frames: the number of images you intend to write.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageInfo(ImageInfo *image_info,
const unsigned int frames,ExceptionInfo *exception)
{
char
component[MagickPathExtent],
magic[MagickPathExtent],
*q;
const MagicInfo
*magic_info;
const MagickInfo
*magick_info;
ExceptionInfo
*sans_exception;
Image
*image;
MagickBooleanType
status;
register const char
*p;
ssize_t
count;
/*
Look for 'image.format' in filename.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
*component='\0';
GetPathComponent(image_info->filename,SubimagePath,component);
if (*component != '\0')
{
/*
Look for scene specification (e.g. img0001.pcd[4]).
*/
if (IsSceneGeometry(component,MagickFalse) == MagickFalse)
{
if (IsGeometry(component) != MagickFalse)
(void) CloneString(&image_info->extract,component);
}
else
{
size_t
first,
last;
(void) CloneString(&image_info->scenes,component);
image_info->scene=StringToUnsignedLong(image_info->scenes);
image_info->number_scenes=image_info->scene;
p=image_info->scenes;
for (q=(char *) image_info->scenes; *q != '\0'; p++)
{
while ((isspace((int) ((unsigned char) *p)) != 0) || (*p == ','))
p++;
first=(size_t) strtol(p,&q,10);
last=first;
while (isspace((int) ((unsigned char) *q)) != 0)
q++;
if (*q == '-')
last=(size_t) strtol(q+1,&q,10);
if (first > last)
Swap(first,last);
if (first < image_info->scene)
image_info->scene=first;
if (last > image_info->number_scenes)
image_info->number_scenes=last;
p=q;
}
image_info->number_scenes-=image_info->scene-1;
}
}
*component='\0';
if (*image_info->magick == '\0')
GetPathComponent(image_info->filename,ExtensionPath,component);
#if defined(MAGICKCORE_ZLIB_DELEGATE)
if (*component != '\0')
if ((LocaleCompare(component,"gz") == 0) ||
(LocaleCompare(component,"Z") == 0) ||
(LocaleCompare(component,"svgz") == 0) ||
(LocaleCompare(component,"wmz") == 0))
{
char
path[MagickPathExtent];
(void) CopyMagickString(path,image_info->filename,MagickPathExtent);
path[strlen(path)-strlen(component)-1]='\0';
GetPathComponent(path,ExtensionPath,component);
}
#endif
#if defined(MAGICKCORE_BZLIB_DELEGATE)
if (*component != '\0')
if (LocaleCompare(component,"bz2") == 0)
{
char
path[MagickPathExtent];
(void) CopyMagickString(path,image_info->filename,MagickPathExtent);
path[strlen(path)-strlen(component)-1]='\0';
GetPathComponent(path,ExtensionPath,component);
}
#endif
image_info->affirm=MagickFalse;
sans_exception=AcquireExceptionInfo();
if ((*component != '\0') && (IsGlob(component) == MagickFalse))
{
MagickFormatType
format_type;
register ssize_t
i;
static const char
*format_type_formats[] =
{
"AUTOTRACE",
"BROWSE",
"DCRAW",
"EDIT",
"LAUNCH",
"MPEG:DECODE",
"MPEG:ENCODE",
"PRINT",
"PS:ALPHA",
"PS:CMYK",
"PS:COLOR",
"PS:GRAY",
"PS:MONO",
"SCAN",
"SHOW",
"WIN",
(char *) NULL
};
/*
User specified image format.
*/
(void) CopyMagickString(magic,component,MagickPathExtent);
LocaleUpper(magic);
/*
Look for explicit image formats.
*/
format_type=UndefinedFormatType;
magick_info=GetMagickInfo(magic,sans_exception);
if ((magick_info != (const MagickInfo *) NULL) &&
(magick_info->format_type != UndefinedFormatType))
format_type=magick_info->format_type;
i=0;
while ((format_type == UndefinedFormatType) &&
(format_type_formats[i] != (char *) NULL))
{
if ((*magic == *format_type_formats[i]) &&
(LocaleCompare(magic,format_type_formats[i]) == 0))
format_type=ExplicitFormatType;
i++;
}
if (format_type == UndefinedFormatType)
(void) CopyMagickString(image_info->magick,magic,MagickPathExtent);
else
if (format_type == ExplicitFormatType)
{
image_info->affirm=MagickTrue;
(void) CopyMagickString(image_info->magick,magic,MagickPathExtent);
}
if (LocaleCompare(magic,"RGB") == 0)
image_info->affirm=MagickFalse; /* maybe SGI disguised as RGB */
}
/*
Look for explicit 'format:image' in filename.
*/
*magic='\0';
GetPathComponent(image_info->filename,MagickPath,magic);
if (*magic == '\0')
{
(void) CopyMagickString(magic,image_info->magick,MagickPathExtent);
magick_info=GetMagickInfo(magic,sans_exception);
GetPathComponent(image_info->filename,CanonicalPath,component);
(void) CopyMagickString(image_info->filename,component,MagickPathExtent);
}
else
{
const DelegateInfo
*delegate_info;
/*
User specified image format.
*/
LocaleUpper(magic);
magick_info=GetMagickInfo(magic,sans_exception);
delegate_info=GetDelegateInfo(magic,"*",sans_exception);
if (delegate_info == (const DelegateInfo *) NULL)
delegate_info=GetDelegateInfo("*",magic,sans_exception);
if (((magick_info != (const MagickInfo *) NULL) ||
(delegate_info != (const DelegateInfo *) NULL)) &&
(IsMagickConflict(magic) == MagickFalse))
{
image_info->affirm=MagickTrue;
(void) CopyMagickString(image_info->magick,magic,MagickPathExtent);
GetPathComponent(image_info->filename,CanonicalPath,component);
(void) CopyMagickString(image_info->filename,component,
MagickPathExtent);
}
}
sans_exception=DestroyExceptionInfo(sans_exception);
if ((magick_info == (const MagickInfo *) NULL) ||
(GetMagickEndianSupport(magick_info) == MagickFalse))
image_info->endian=UndefinedEndian;
if ((image_info->adjoin != MagickFalse) && (frames > 1))
{
/*
Test for multiple image support (e.g. image%02d.png).
*/
(void) InterpretImageFilename(image_info,(Image *) NULL,
image_info->filename,(int) image_info->scene,component,exception);
if ((LocaleCompare(component,image_info->filename) != 0) &&
(strchr(component,'%') == (char *) NULL))
image_info->adjoin=MagickFalse;
}
if ((image_info->adjoin != MagickFalse) && (frames > 0))
{
/*
Some image formats do not support multiple frames per file.
*/
magick_info=GetMagickInfo(magic,exception);
if (magick_info != (const MagickInfo *) NULL)
if (GetMagickAdjoin(magick_info) == MagickFalse)
image_info->adjoin=MagickFalse;
}
if (image_info->affirm != MagickFalse)
return(MagickTrue);
if (frames == 0)
{
unsigned char
*magick;
size_t
magick_size;
/*
Determine the image format from the first few bytes of the file.
*/
magick_size=GetMagicPatternExtent(exception);
if (magick_size == 0)
return(MagickFalse);
image=AcquireImage(image_info,exception);
(void) CopyMagickString(image->filename,image_info->filename,
MagickPathExtent);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
image=DestroyImage(image);
return(MagickFalse);
}
if ((IsBlobSeekable(image) == MagickFalse) ||
(IsBlobExempt(image) != MagickFalse))
{
/*
Copy image to seekable temporary file.
*/
*component='\0';
status=ImageToFile(image,component,exception);
(void) CloseBlob(image);
if (status == MagickFalse)
{
image=DestroyImage(image);
return(MagickFalse);
}
SetImageInfoFile(image_info,(FILE *) NULL);
(void) CopyMagickString(image->filename,component,MagickPathExtent);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
image=DestroyImage(image);
return(MagickFalse);
}
(void) CopyMagickString(image_info->filename,component,
MagickPathExtent);
image_info->temporary=MagickTrue;
}
magick=(unsigned char *) AcquireMagickMemory(magick_size);
if (magick == (unsigned char *) NULL)
{
(void) CloseBlob(image);
image=DestroyImage(image);
return(MagickFalse);
}
(void) memset(magick,0,magick_size);
count=ReadBlob(image,magick_size,magick);
(void) SeekBlob(image,-((MagickOffsetType) count),SEEK_CUR);
(void) CloseBlob(image);
image=DestroyImage(image);
/*
Check magic.xml configuration file.
*/
sans_exception=AcquireExceptionInfo();
magic_info=GetMagicInfo(magick,(size_t) count,sans_exception);
magick=(unsigned char *) RelinquishMagickMemory(magick);
if ((magic_info != (const MagicInfo *) NULL) &&
(GetMagicName(magic_info) != (char *) NULL))
{
/*
Try to use magick_info that was determined earlier by the extension
*/
if ((magick_info != (const MagickInfo *) NULL) &&
(GetMagickUseExtension(magick_info) != MagickFalse) &&
(LocaleCompare(magick_info->module,GetMagicName(
magic_info)) == 0))
(void) CopyMagickString(image_info->magick,magick_info->name,
MagickPathExtent);
else
{
(void) CopyMagickString(image_info->magick,GetMagicName(
magic_info),MagickPathExtent);
magick_info=GetMagickInfo(image_info->magick,sans_exception);
}
if ((magick_info == (const MagickInfo *) NULL) ||
(GetMagickEndianSupport(magick_info) == MagickFalse))
image_info->endian=UndefinedEndian;
sans_exception=DestroyExceptionInfo(sans_exception);
return(MagickTrue);
}
magick_info=GetMagickInfo(image_info->magick,sans_exception);
if ((magick_info == (const MagickInfo *) NULL) ||
(GetMagickEndianSupport(magick_info) == MagickFalse))
image_info->endian=UndefinedEndian;
sans_exception=DestroyExceptionInfo(sans_exception);
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e I n f o B l o b %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageInfoBlob() sets the image info blob member.
%
% The format of the SetImageInfoBlob method is:
%
% void SetImageInfoBlob(ImageInfo *image_info,const void *blob,
% const size_t length)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o blob: the blob.
%
% o length: the blob length.
%
*/
MagickExport void SetImageInfoBlob(ImageInfo *image_info,const void *blob,
const size_t length)
{
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
image_info->blob=(void *) blob;
image_info->length=length;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e I n f o C u s t o m S t r e a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageInfoCustomStream() sets the image info custom stream handlers.
%
% The format of the SetImageInfoCustomStream method is:
%
% void SetImageInfoCustomStream(ImageInfo *image_info,
% CustomStreamInfo *custom_stream)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o custom_stream: your custom stream methods.
%
*/
MagickExport void SetImageInfoCustomStream(ImageInfo *image_info,
CustomStreamInfo *custom_stream)
{
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
image_info->custom_stream=(CustomStreamInfo *) custom_stream;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e I n f o F i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageInfoFile() sets the image info file member.
%
% The format of the SetImageInfoFile method is:
%
% void SetImageInfoFile(ImageInfo *image_info,FILE *file)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o file: the file.
%
*/
MagickExport void SetImageInfoFile(ImageInfo *image_info,FILE *file)
{
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
image_info->file=file;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageMask() associates a mask with the image. The mask must be the same
% dimensions as the image.
%
% The format of the SetImageMask method is:
%
% MagickBooleanType SetImageMask(Image *image,const PixelMask type,
% const Image *mask,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o type: the mask type, ReadPixelMask or WritePixelMask.
%
% o mask: the image mask.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageMask(Image *image,const PixelMask type,
const Image *mask,ExceptionInfo *exception)
{
CacheView
*mask_view,
*image_view;
MagickBooleanType
status;
ssize_t
y;
/*
Set image mask.
*/
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (mask == (const Image *) NULL)
{
switch (type)
{
case ReadPixelMask: image->channels&=(~ReadMaskChannel); break;
case WritePixelMask: image->channels&=(~WriteMaskChannel); break;
default: image->channels&=(~CompositeMaskChannel); break;
}
return(SyncImagePixelCache(image,exception));
}
switch (type)
{
case ReadPixelMask: image->channels|=ReadMaskChannel; break;
case WritePixelMask: image->channels|=WriteMaskChannel; break;
default: image->channels|=CompositeMaskChannel; break;
}
if (SyncImagePixelCache(image,exception) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
image->mask_trait=UpdatePixelTrait;
mask_view=AcquireVirtualCacheView(mask,exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(mask,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(mask_view,0,y,mask->columns,1,exception);
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
intensity;
intensity=0.0;
if ((x < (ssize_t) mask->columns) && (y < (ssize_t) mask->rows))
intensity=GetPixelIntensity(mask,p);
switch (type)
{
case ReadPixelMask:
{
SetPixelReadMask(image,ClampToQuantum(intensity),q);
break;
}
case WritePixelMask:
{
SetPixelWriteMask(image,ClampToQuantum(intensity),q);
break;
}
default:
{
SetPixelCompositeMask(image,ClampToQuantum(intensity),q);
break;
}
}
p+=GetPixelChannels(mask);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image->mask_trait=UndefinedPixelTrait;
mask_view=DestroyCacheView(mask_view);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e R e g i o n M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageRegionMask() associates a mask with the image as defined by the
% specified region.
%
% The format of the SetImageRegionMask method is:
%
% MagickBooleanType SetImageRegionMask(Image *image,const PixelMask type,
% const RectangleInfo *region,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o type: the mask type, ReadPixelMask or WritePixelMask.
%
% o geometry: the mask region.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageRegionMask(Image *image,
const PixelMask type,const RectangleInfo *region,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
y;
/*
Set image mask as defined by the region.
*/
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (region == (const RectangleInfo *) NULL)
{
switch (type)
{
case ReadPixelMask: image->channels&=(~ReadMaskChannel); break;
case WritePixelMask: image->channels&=(~WriteMaskChannel); break;
default: image->channels&=(~CompositeMaskChannel); break;
}
return(SyncImagePixelCache(image,exception));
}
switch (type)
{
case ReadPixelMask: image->channels|=ReadMaskChannel; break;
case WritePixelMask: image->channels|=WriteMaskChannel; break;
default: image->channels|=CompositeMaskChannel; break;
}
if (SyncImagePixelCache(image,exception) == MagickFalse)
return(MagickFalse);
status=MagickTrue;
image->mask_trait=UpdatePixelTrait;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
Quantum
pixel;
pixel=QuantumRange;
if (((x >= region->x) && (x < (region->x+(ssize_t) region->width))) &&
((y >= region->y) && (y < (region->y+(ssize_t) region->height))))
pixel=(Quantum) 0;
switch (type)
{
case ReadPixelMask:
{
SetPixelReadMask(image,pixel,q);
break;
}
case WritePixelMask:
{
SetPixelWriteMask(image,pixel,q);
break;
}
default:
{
SetPixelCompositeMask(image,pixel,q);
break;
}
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image->mask_trait=UndefinedPixelTrait;
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e V i r t u a l P i x e l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageVirtualPixelMethod() sets the "virtual pixels" method for the
% image and returns the previous setting. A virtual pixel is any pixel access
% that is outside the boundaries of the image cache.
%
% The format of the SetImageVirtualPixelMethod() method is:
%
% VirtualPixelMethod SetImageVirtualPixelMethod(Image *image,
% const VirtualPixelMethod virtual_pixel_method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: choose the type of virtual pixel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport VirtualPixelMethod SetImageVirtualPixelMethod(Image *image,
const VirtualPixelMethod virtual_pixel_method,ExceptionInfo *exception)
{
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
return(SetPixelCacheVirtualMethod(image,virtual_pixel_method,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S m u s h I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SmushImages() takes all images from the current image pointer to the end
% of the image list and smushes them to each other top-to-bottom if the
% stack parameter is true, otherwise left-to-right.
%
% The current gravity setting now effects how the image is justified in the
% final image.
%
% The format of the SmushImages method is:
%
% Image *SmushImages(const Image *images,const MagickBooleanType stack,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o stack: A value other than 0 stacks the images top-to-bottom.
%
% o offset: minimum distance in pixels between images.
%
% o exception: return any errors or warnings in this structure.
%
*/
static ssize_t SmushXGap(const Image *smush_image,const Image *images,
const ssize_t offset,ExceptionInfo *exception)
{
CacheView
*left_view,
*right_view;
const Image
*left_image,
*right_image;
RectangleInfo
left_geometry,
right_geometry;
register const Quantum
*p;
register ssize_t
i,
y;
size_t
gap;
ssize_t
x;
if (images->previous == (Image *) NULL)
return(0);
right_image=images;
SetGeometry(smush_image,&right_geometry);
GravityAdjustGeometry(right_image->columns,right_image->rows,
right_image->gravity,&right_geometry);
left_image=images->previous;
SetGeometry(smush_image,&left_geometry);
GravityAdjustGeometry(left_image->columns,left_image->rows,
left_image->gravity,&left_geometry);
gap=right_image->columns;
left_view=AcquireVirtualCacheView(left_image,exception);
right_view=AcquireVirtualCacheView(right_image,exception);
for (y=0; y < (ssize_t) smush_image->rows; y++)
{
for (x=(ssize_t) left_image->columns-1; x > 0; x--)
{
p=GetCacheViewVirtualPixels(left_view,x,left_geometry.y+y,1,1,exception);
if ((p == (const Quantum *) NULL) ||
(GetPixelAlpha(left_image,p) != TransparentAlpha) ||
((left_image->columns-x-1) >= gap))
break;
}
i=(ssize_t) left_image->columns-x-1;
for (x=0; x < (ssize_t) right_image->columns; x++)
{
p=GetCacheViewVirtualPixels(right_view,x,right_geometry.y+y,1,1,
exception);
if ((p == (const Quantum *) NULL) ||
(GetPixelAlpha(right_image,p) != TransparentAlpha) ||
((x+i) >= (ssize_t) gap))
break;
}
if ((x+i) < (ssize_t) gap)
gap=(size_t) (x+i);
}
right_view=DestroyCacheView(right_view);
left_view=DestroyCacheView(left_view);
if (y < (ssize_t) smush_image->rows)
return(offset);
return((ssize_t) gap-offset);
}
static ssize_t SmushYGap(const Image *smush_image,const Image *images,
const ssize_t offset,ExceptionInfo *exception)
{
CacheView
*bottom_view,
*top_view;
const Image
*bottom_image,
*top_image;
RectangleInfo
bottom_geometry,
top_geometry;
register const Quantum
*p;
register ssize_t
i,
x;
size_t
gap;
ssize_t
y;
if (images->previous == (Image *) NULL)
return(0);
bottom_image=images;
SetGeometry(smush_image,&bottom_geometry);
GravityAdjustGeometry(bottom_image->columns,bottom_image->rows,
bottom_image->gravity,&bottom_geometry);
top_image=images->previous;
SetGeometry(smush_image,&top_geometry);
GravityAdjustGeometry(top_image->columns,top_image->rows,top_image->gravity,
&top_geometry);
gap=bottom_image->rows;
top_view=AcquireVirtualCacheView(top_image,exception);
bottom_view=AcquireVirtualCacheView(bottom_image,exception);
for (x=0; x < (ssize_t) smush_image->columns; x++)
{
for (y=(ssize_t) top_image->rows-1; y > 0; y--)
{
p=GetCacheViewVirtualPixels(top_view,top_geometry.x+x,y,1,1,exception);
if ((p == (const Quantum *) NULL) ||
(GetPixelAlpha(top_image,p) != TransparentAlpha) ||
((top_image->rows-y-1) >= gap))
break;
}
i=(ssize_t) top_image->rows-y-1;
for (y=0; y < (ssize_t) bottom_image->rows; y++)
{
p=GetCacheViewVirtualPixels(bottom_view,bottom_geometry.x+x,y,1,1,
exception);
if ((p == (const Quantum *) NULL) ||
(GetPixelAlpha(bottom_image,p) != TransparentAlpha) ||
((y+i) >= (ssize_t) gap))
break;
}
if ((y+i) < (ssize_t) gap)
gap=(size_t) (y+i);
}
bottom_view=DestroyCacheView(bottom_view);
top_view=DestroyCacheView(top_view);
if (x < (ssize_t) smush_image->columns)
return(offset);
return((ssize_t) gap-offset);
}
MagickExport Image *SmushImages(const Image *images,
const MagickBooleanType stack,const ssize_t offset,ExceptionInfo *exception)
{
#define SmushImageTag "Smush/Image"
const Image
*image;
Image
*smush_image;
MagickBooleanType
proceed,
status;
MagickOffsetType
n;
PixelTrait
alpha_trait;
RectangleInfo
geometry;
register const Image
*next;
size_t
height,
number_images,
width;
ssize_t
x_offset,
y_offset;
/*
Compute maximum area of smushed area.
*/
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=images;
alpha_trait=image->alpha_trait;
number_images=1;
width=image->columns;
height=image->rows;
next=GetNextImageInList(image);
for ( ; next != (Image *) NULL; next=GetNextImageInList(next))
{
if (next->alpha_trait != UndefinedPixelTrait)
alpha_trait=BlendPixelTrait;
number_images++;
if (stack != MagickFalse)
{
if (next->columns > width)
width=next->columns;
height+=next->rows;
if (next->previous != (Image *) NULL)
height+=offset;
continue;
}
width+=next->columns;
if (next->previous != (Image *) NULL)
width+=offset;
if (next->rows > height)
height=next->rows;
}
/*
Smush images.
*/
smush_image=CloneImage(image,width,height,MagickTrue,exception);
if (smush_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(smush_image,DirectClass,exception) == MagickFalse)
{
smush_image=DestroyImage(smush_image);
return((Image *) NULL);
}
smush_image->alpha_trait=alpha_trait;
(void) SetImageBackgroundColor(smush_image,exception);
status=MagickTrue;
x_offset=0;
y_offset=0;
for (n=0; n < (MagickOffsetType) number_images; n++)
{
SetGeometry(smush_image,&geometry);
GravityAdjustGeometry(image->columns,image->rows,image->gravity,&geometry);
if (stack != MagickFalse)
{
x_offset-=geometry.x;
y_offset-=SmushYGap(smush_image,image,offset,exception);
}
else
{
x_offset-=SmushXGap(smush_image,image,offset,exception);
y_offset-=geometry.y;
}
status=CompositeImage(smush_image,image,OverCompositeOp,MagickTrue,x_offset,
y_offset,exception);
proceed=SetImageProgress(image,SmushImageTag,n,number_images);
if (proceed == MagickFalse)
break;
if (stack == MagickFalse)
{
x_offset+=(ssize_t) image->columns;
y_offset=0;
}
else
{
x_offset=0;
y_offset+=(ssize_t) image->rows;
}
image=GetNextImageInList(image);
}
if (stack == MagickFalse)
smush_image->columns=(size_t) x_offset;
else
smush_image->rows=(size_t) y_offset;
if (status == MagickFalse)
smush_image=DestroyImage(smush_image);
return(smush_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t r i p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% StripImage() strips an image of all profiles and comments.
%
% The format of the StripImage method is:
%
% MagickBooleanType StripImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType StripImage(Image *image,ExceptionInfo *exception)
{
MagickBooleanType
status;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
(void) exception;
DestroyImageProfiles(image);
(void) DeleteImageProperty(image,"comment");
(void) DeleteImageProperty(image,"date:create");
(void) DeleteImageProperty(image,"date:modify");
status=SetImageArtifact(image,"png:exclude-chunk",
"bKGD,caNv,cHRM,eXIf,gAMA,iCCP,iTXt,pHYs,sRGB,tEXt,zCCP,zTXt,date");
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImage() initializes the red, green, and blue intensities of each pixel
% as defined by the colormap index.
%
% The format of the SyncImage method is:
%
% MagickBooleanType SyncImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline Quantum PushColormapIndex(Image *image,const Quantum index,
MagickBooleanType *range_exception)
{
if ((size_t) index < image->colors)
return(index);
*range_exception=MagickTrue;
return((Quantum) 0);
}
MagickExport MagickBooleanType SyncImage(Image *image,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
range_exception,
status,
taint;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (image->ping != MagickFalse)
return(MagickTrue);
if (image->storage_class != PseudoClass)
return(MagickFalse);
assert(image->colormap != (PixelInfo *) NULL);
range_exception=MagickFalse;
status=MagickTrue;
taint=image->taint;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(range_exception,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
Quantum
index;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
index=PushColormapIndex(image,GetPixelIndex(image,q),&range_exception);
SetPixelViaPixelInfo(image,image->colormap+(ssize_t) index,q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->taint=taint;
if ((image->ping == MagickFalse) && (range_exception != MagickFalse))
(void) ThrowMagickException(exception,GetMagickModule(),
CorruptImageWarning,"InvalidColormapIndex","`%s'",image->filename);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c I m a g e S e t t i n g s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImageSettings() syncs any image_info global options into per-image
% attributes.
%
% Note: in IMv6 free form 'options' were always mapped into 'artifacts', so
% that operations and coders can find such settings. In IMv7 if a desired
% per-image artifact is not set, then it will directly look for a global
% option as a fallback, as such this copy is no longer needed, only the
% link set up.
%
% The format of the SyncImageSettings method is:
%
% MagickBooleanType SyncImageSettings(const ImageInfo *image_info,
% Image *image,ExceptionInfo *exception)
% MagickBooleanType SyncImagesSettings(const ImageInfo *image_info,
% Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SyncImagesSettings(ImageInfo *image_info,
Image *images,ExceptionInfo *exception)
{
Image
*image;
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
image=images;
for ( ; image != (Image *) NULL; image=GetNextImageInList(image))
(void) SyncImageSettings(image_info,image,exception);
(void) DeleteImageOption(image_info,"page");
return(MagickTrue);
}
MagickExport MagickBooleanType SyncImageSettings(const ImageInfo *image_info,
Image *image,ExceptionInfo *exception)
{
const char
*option;
GeometryInfo
geometry_info;
MagickStatusType
flags;
ResolutionType
units;
/*
Sync image options.
*/
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
option=GetImageOption(image_info,"background");
if (option != (const char *) NULL)
(void) QueryColorCompliance(option,AllCompliance,&image->background_color,
exception);
option=GetImageOption(image_info,"black-point-compensation");
if (option != (const char *) NULL)
image->black_point_compensation=(MagickBooleanType) ParseCommandOption(
MagickBooleanOptions,MagickFalse,option);
option=GetImageOption(image_info,"blue-primary");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.blue_primary.x=geometry_info.rho;
image->chromaticity.blue_primary.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.blue_primary.y=image->chromaticity.blue_primary.x;
}
option=GetImageOption(image_info,"bordercolor");
if (option != (const char *) NULL)
(void) QueryColorCompliance(option,AllCompliance,&image->border_color,
exception);
/* FUTURE: do not sync compose to per-image compose setting here */
option=GetImageOption(image_info,"compose");
if (option != (const char *) NULL)
image->compose=(CompositeOperator) ParseCommandOption(MagickComposeOptions,
MagickFalse,option);
/* -- */
option=GetImageOption(image_info,"compress");
if (option != (const char *) NULL)
image->compression=(CompressionType) ParseCommandOption(
MagickCompressOptions,MagickFalse,option);
option=GetImageOption(image_info,"debug");
if (option != (const char *) NULL)
image->debug=(MagickBooleanType) ParseCommandOption(MagickBooleanOptions,
MagickFalse,option);
option=GetImageOption(image_info,"density");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->resolution.x=geometry_info.rho;
image->resolution.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->resolution.y=image->resolution.x;
}
option=GetImageOption(image_info,"depth");
if (option != (const char *) NULL)
image->depth=StringToUnsignedLong(option);
option=GetImageOption(image_info,"endian");
if (option != (const char *) NULL)
image->endian=(EndianType) ParseCommandOption(MagickEndianOptions,
MagickFalse,option);
option=GetImageOption(image_info,"filter");
if (option != (const char *) NULL)
image->filter=(FilterType) ParseCommandOption(MagickFilterOptions,
MagickFalse,option);
option=GetImageOption(image_info,"fuzz");
if (option != (const char *) NULL)
image->fuzz=StringToDoubleInterval(option,(double) QuantumRange+1.0);
option=GetImageOption(image_info,"gravity");
if (option != (const char *) NULL)
image->gravity=(GravityType) ParseCommandOption(MagickGravityOptions,
MagickFalse,option);
option=GetImageOption(image_info,"green-primary");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.green_primary.x=geometry_info.rho;
image->chromaticity.green_primary.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.green_primary.y=image->chromaticity.green_primary.x;
}
option=GetImageOption(image_info,"intent");
if (option != (const char *) NULL)
image->rendering_intent=(RenderingIntent) ParseCommandOption(
MagickIntentOptions,MagickFalse,option);
option=GetImageOption(image_info,"intensity");
if (option != (const char *) NULL)
image->intensity=(PixelIntensityMethod) ParseCommandOption(
MagickPixelIntensityOptions,MagickFalse,option);
option=GetImageOption(image_info,"interlace");
if (option != (const char *) NULL)
image->interlace=(InterlaceType) ParseCommandOption(MagickInterlaceOptions,
MagickFalse,option);
option=GetImageOption(image_info,"interpolate");
if (option != (const char *) NULL)
image->interpolate=(PixelInterpolateMethod) ParseCommandOption(
MagickInterpolateOptions,MagickFalse,option);
option=GetImageOption(image_info,"loop");
if (option != (const char *) NULL)
image->iterations=StringToUnsignedLong(option);
option=GetImageOption(image_info,"mattecolor");
if (option != (const char *) NULL)
(void) QueryColorCompliance(option,AllCompliance,&image->matte_color,
exception);
option=GetImageOption(image_info,"orient");
if (option != (const char *) NULL)
image->orientation=(OrientationType) ParseCommandOption(
MagickOrientationOptions,MagickFalse,option);
option=GetImageOption(image_info,"page");
if (option != (const char *) NULL)
{
char
*geometry;
geometry=GetPageGeometry(option);
flags=ParseAbsoluteGeometry(geometry,&image->page);
geometry=DestroyString(geometry);
}
option=GetImageOption(image_info,"quality");
if (option != (const char *) NULL)
image->quality=StringToUnsignedLong(option);
option=GetImageOption(image_info,"red-primary");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.red_primary.x=geometry_info.rho;
image->chromaticity.red_primary.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.red_primary.y=image->chromaticity.red_primary.x;
}
if (image_info->quality != UndefinedCompressionQuality)
image->quality=image_info->quality;
option=GetImageOption(image_info,"scene");
if (option != (const char *) NULL)
image->scene=StringToUnsignedLong(option);
option=GetImageOption(image_info,"taint");
if (option != (const char *) NULL)
image->taint=(MagickBooleanType) ParseCommandOption(MagickBooleanOptions,
MagickFalse,option);
option=GetImageOption(image_info,"tile-offset");
if (option != (const char *) NULL)
{
char
*geometry;
geometry=GetPageGeometry(option);
flags=ParseAbsoluteGeometry(geometry,&image->tile_offset);
geometry=DestroyString(geometry);
}
option=GetImageOption(image_info,"transparent-color");
if (option != (const char *) NULL)
(void) QueryColorCompliance(option,AllCompliance,&image->transparent_color,
exception);
option=GetImageOption(image_info,"type");
if (option != (const char *) NULL)
image->type=(ImageType) ParseCommandOption(MagickTypeOptions,MagickFalse,
option);
option=GetImageOption(image_info,"units");
units=image_info->units;
if (option != (const char *) NULL)
units=(ResolutionType) ParseCommandOption(MagickResolutionOptions,
MagickFalse,option);
if (units != UndefinedResolution)
{
if (image->units != units)
switch (image->units)
{
case PixelsPerInchResolution:
{
if (units == PixelsPerCentimeterResolution)
{
image->resolution.x/=2.54;
image->resolution.y/=2.54;
}
break;
}
case PixelsPerCentimeterResolution:
{
if (units == PixelsPerInchResolution)
{
image->resolution.x=(double) ((size_t) (100.0*2.54*
image->resolution.x+0.5))/100.0;
image->resolution.y=(double) ((size_t) (100.0*2.54*
image->resolution.y+0.5))/100.0;
}
break;
}
default:
break;
}
image->units=units;
}
option=GetImageOption(image_info,"virtual-pixel");
if (option != (const char *) NULL)
(void) SetImageVirtualPixelMethod(image,(VirtualPixelMethod)
ParseCommandOption(MagickVirtualPixelOptions,MagickFalse,option),
exception);
option=GetImageOption(image_info,"white-point");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.white_point.x=geometry_info.rho;
image->chromaticity.white_point.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.white_point.y=image->chromaticity.white_point.x;
}
/*
Pointer to allow the lookup of pre-image artifact will fallback to a global
option setting/define. This saves a lot of duplication of global options
into per-image artifacts, while ensuring only specifically set per-image
artifacts are preserved when parenthesis ends.
*/
if (image->image_info != (ImageInfo *) NULL)
image->image_info=DestroyImageInfo(image->image_info);
image->image_info=CloneImageInfo(image_info);
return(MagickTrue);
}
|
bicg.c | /**
* bicg.c: This file was adapted from PolyBench/GPU 1.0 test suite
* to run on GPU with OpenMP 4.0 pragmas and OpenCL driver.
*
* Web address: http://www.cse.ohio-state.edu/~pouchet/software/polybench/GPU
*
* Contacts: Marcio M Pereira <mpereira@ic.unicamp.br>
* Rafael Cardoso F Sousa <rafael.cardoso@students.ic.unicamp.br>
* Luís Felipe Mattos <ra107822@students.ic.unicamp.br>
*/
#include <assert.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "BenchmarksUtil.h"
// Error threshold for the results "not matching"
#define PERCENT_DIFF_ERROR_THRESHOLD 0.7
/* Problem size. */
#ifdef RUN_TEST
#define SIZE 1100
#elif RUN_BENCHMARK
#define SIZE 9600
#else
#define SIZE 1000
#endif
#define NX SIZE
#define NY SIZE
#ifndef M_PI
#define M_PI 3.14159
#endif
/* Can switch DATA_TYPE between float and double */
typedef float DATA_TYPE;
void init_array(DATA_TYPE *A, DATA_TYPE *p, DATA_TYPE *r) {
int i, j;
for (i = 0; i < NX; i++) {
r[i] = i * M_PI;
for (j = 0; j < NY; j++) {
A[i * NY + j] = ((DATA_TYPE)i * j) / NX;
}
}
for (i = 0; i < NY; i++) {
p[i] = i * M_PI;
}
}
int compareResults(DATA_TYPE *s, DATA_TYPE *s_outputFromGpu, DATA_TYPE *q,
DATA_TYPE *q_outputFromGpu) {
int i, fail;
fail = 0;
// Compare s with s_cuda
for (i = 0; i < NX; i++) {
if (percentDiff(q[i], q_outputFromGpu[i]) > PERCENT_DIFF_ERROR_THRESHOLD) {
fail++;
}
}
for (i = 0; i < NY; i++) {
if (percentDiff(s[i], s_outputFromGpu[i]) > PERCENT_DIFF_ERROR_THRESHOLD) {
fail++;
}
}
// print results
printf("Non-Matching CPU-GPU Outputs Beyond Error Threshold of %4.2f "
"Percent: %d\n",
PERCENT_DIFF_ERROR_THRESHOLD, fail);
return fail;
}
void bicg_cpu(DATA_TYPE *A, DATA_TYPE *r, DATA_TYPE *s, DATA_TYPE *p,
DATA_TYPE *q) {
int i, j;
for (i = 0; i < NY; i++) {
s[i] = 0.0;
}
for (i = 0; i < NX; i++) {
q[i] = 0.0;
for (j = 0; j < NY; j++) {
s[j] = s[j] + r[i] * A[i * NY + j];
q[i] = q[i] + A[i * NY + j] * p[j];
}
}
}
void bicg_OMP(DATA_TYPE *A, DATA_TYPE *r, DATA_TYPE *s, DATA_TYPE *p,
DATA_TYPE *q) {
int i, j;
for (i = 0; i < NY; i++) {
s[i] = 0.0;
}
#pragma omp target teams map(to : A[ : NX *NY], p[ : NY], r[ : NX]) map(tofrom : s[ : NY], q[ : NX]) device(DEVICE_ID)
{
#pragma omp distribute parallel for private(i)
for (j = 0; j < NY; j++) {
for (i = 0; i < NX; i++) {
s[j] = s[j] + r[i] * A[i * NY + j];
}
}
#pragma omp distribute parallel for private(j)
for (i = 0; i < NX; i++) {
q[i] = 0.0;
for (j = 0; j < NY; j++) {
q[i] = q[i] + A[i * NY + j] * p[j];
}
}
}
}
int main(int argc, char **argv) {
double t_start, t_end;
int fail = 0;
DATA_TYPE *A;
DATA_TYPE *r;
DATA_TYPE *s;
DATA_TYPE *p;
DATA_TYPE *q;
DATA_TYPE *s_GPU;
DATA_TYPE *q_GPU;
A = (DATA_TYPE *)malloc(NX * NY * sizeof(DATA_TYPE));
r = (DATA_TYPE *)malloc(NX * sizeof(DATA_TYPE));
s = (DATA_TYPE *)malloc(NY * sizeof(DATA_TYPE));
p = (DATA_TYPE *)malloc(NY * sizeof(DATA_TYPE));
q = (DATA_TYPE *)malloc(NX * sizeof(DATA_TYPE));
s_GPU = (DATA_TYPE *)malloc(NY * sizeof(DATA_TYPE));
q_GPU = (DATA_TYPE *)malloc(NX * sizeof(DATA_TYPE));
fprintf(stdout, "<< BiCG Sub Kernel of BiCGStab Linear Solver >>\n");
init_array(A, p, r);
t_start = rtclock();
bicg_OMP(A, r, s_GPU, p, q_GPU);
t_end = rtclock();
fprintf(stdout, "GPU Runtime: %0.6lfs\n", t_end - t_start);
#ifdef RUN_TEST
t_start = rtclock();
bicg_cpu(A, r, s, p, q);
t_end = rtclock();
fprintf(stdout, "CPU Runtime: %0.6lfs\n", t_end - t_start);
fail = compareResults(s, s_GPU, q, q_GPU);
#endif
free(A);
free(r);
free(s);
free(p);
free(q);
free(s_GPU);
free(q_GPU);
return fail;
}
|
convolution_3x3.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#if defined(__ARM_NEON)
static void conv3x3s1_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias)
{
int w = bottom_blob.w;
// int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
out.fill(bias0);
const float* kernel0 = kernel + p*inch*9;
for (int q=0; q<inch; q++)
{
float* outptr = out;
float* outptr2 = outptr + outw;
const float* img0 = bottom_blob.channel(q);
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* r3 = img0 + w*3;
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
#if defined(__ARM_NEON)
float32x4_t _k0123 = vld1q_f32(kernel0);
float32x4_t _k3456 = vld1q_f32(kernel0+3);
float32x4_t _k6789 = vld1q_f32(kernel0+6);
#endif // __ARM_NEON
int i = 0;
for (; i+1 < outh; i+=2)
{
#if defined(__ARM_NEON)
int nn = outw >> 2;
int remain = outw & 3;
#else
int remain = outw;
#endif // __ARM_NEON
#if defined(__ARM_NEON)
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum1 = vld1q_f32(outptr);
float32x4_t _sum3 = vld1q_f32(outptr2);
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r00n = vld1q_f32(r0 + 4);
float32x4_t _r01 = vextq_f32(_r00, _r00n, 1);
float32x4_t _r02 = vextq_f32(_r00, _r00n, 2);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r10n = vld1q_f32(r1 + 4);
float32x4_t _r11 = vextq_f32(_r10, _r10n, 1);
float32x4_t _r12 = vextq_f32(_r10, _r10n, 2);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r20n = vld1q_f32(r2 + 4);
float32x4_t _r21 = vextq_f32(_r20, _r20n, 1);
float32x4_t _r22 = vextq_f32(_r20, _r20n, 2);
float32x4_t _r30 = vld1q_f32(r3);
float32x4_t _r30n = vld1q_f32(r3 + 4);
float32x4_t _r31 = vextq_f32(_r30, _r30n, 1);
float32x4_t _r32 = vextq_f32(_r30, _r30n, 2);
_sum1 = vfmaq_laneq_f32(_sum1, _r00, _k0123, 0);
float32x4_t _sum2 = vmulq_laneq_f32(_r01, _k0123, 1);
_sum1 = vfmaq_laneq_f32(_sum1, _r02, _k0123, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r10, _k3456, 0);
_sum1 = vfmaq_laneq_f32(_sum1, _r11, _k3456, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r12, _k3456, 2);
_sum1 = vfmaq_laneq_f32(_sum1, _r20, _k6789, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r21, _k6789, 1);
_sum1 = vfmaq_laneq_f32(_sum1, _r22, _k6789, 2);
_sum3 = vfmaq_laneq_f32(_sum3, _r10, _k0123, 0);
float32x4_t _sum4 = vmulq_laneq_f32(_r11, _k0123, 1);
_sum3 = vfmaq_laneq_f32(_sum3, _r12, _k0123, 2);
_sum4 = vfmaq_laneq_f32(_sum4, _r20, _k3456, 0);
_sum3 = vfmaq_laneq_f32(_sum3, _r21, _k3456, 1);
_sum4 = vfmaq_laneq_f32(_sum4, _r22, _k3456, 2);
_sum3 = vfmaq_laneq_f32(_sum3, _r30, _k6789, 0);
_sum4 = vfmaq_laneq_f32(_sum4, _r31, _k6789, 1);
_sum3 = vfmaq_laneq_f32(_sum3, _r32, _k6789, 2);
_sum1 = vaddq_f32(_sum1, _sum2);
_sum3 = vaddq_f32(_sum3, _sum4);
vst1q_f32(outptr, _sum1);
vst1q_f32(outptr2, _sum3);
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
outptr += 4;
outptr2 += 4;
}
#else
if (nn > 0)
{
asm volatile(
"pld [%3, #192] \n"
"vld1.f32 {d18-d20}, [%3 :64] \n"// r0
"add %3, #16 \n"
"vext.32 q11, q9, q10, #1 \n"
"vext.32 q12, q9, q10, #2 \n"
"0: \n"
"pld [%1, #128] \n"
"vld1.f32 {d14-d15}, [%1 :64] \n"// _sum
"vmla.f32 q7, q9, %e14[0] \n"
"vmul.f32 q6, q11, %e14[1] \n"
"vmul.f32 q13, q12, %f14[0] \n"
"pld [%4, #192] \n"
"vld1.f32 {d18-d20}, [%4] \n"// r1
"add %4, #16 \n"
"vmla.f32 q7, q9, %e15[0] \n"
"vext.32 q11, q9, q10, #1 \n"
"vext.32 q12, q9, q10, #2 \n"
"vmla.f32 q6, q11, %e15[1] \n"
"vmla.f32 q13, q12, %f15[0] \n"
"pld [%2, #128] \n"
"vld1.f32 {d16-d17}, [%2] \n"// _sum2
"vmla.f32 q8, q9, %e14[0] \n"
"vmul.f32 q14, q11, %e14[1] \n"
"vmul.f32 q15, q12, %f14[0] \n"
"pld [%5, #192] \n"
"vld1.f32 {d18-d20}, [%5 :64] \n"// r2
"add %5, #16 \n"
"vmla.f32 q7, q9, %e16[0] \n"
"vext.32 q11, q9, q10, #1 \n"
"vext.32 q12, q9, q10, #2 \n"
"vmla.f32 q6, q11, %e16[1] \n"
"vmla.f32 q13, q12, %f16[0] \n"
"vmla.f32 q8, q9, %e15[0] \n"
"vmla.f32 q14, q11, %e15[1] \n"
"vmla.f32 q15, q12, %f15[0] \n"
"pld [%6, #192] \n"
"vld1.f32 {d18-d20}, [%6] \n"// r3
"add %6, #16 \n"
"vmla.f32 q8, q9, %e16[0] \n"
"vext.32 q11, q9, q10, #1 \n"
"vext.32 q12, q9, q10, #2 \n"
"vmla.f32 q14, q11, %e16[1] \n"
"vmla.f32 q15, q12, %f16[0] \n"
"vadd.f32 q7, q7, q6 \n"
"pld [%3, #192] \n"
"vld1.f32 {d18-d20}, [%3 :64] \n"// r0
"vadd.f32 q8, q8, q14 \n"
"vadd.f32 q7, q7, q13 \n"
"vadd.f32 q8, q8, q15 \n"
"vext.32 q11, q9, q10, #1 \n"
"vext.32 q12, q9, q10, #2 \n"
"add %3, #16 \n"
"vst1.f32 {d14-d15}, [%1]! \n"
"vst1.f32 {d16-d17}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
"sub %3, #16 \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(outptr2), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3) // %6
: "0"(nn),
"1"(outptr),
"2"(outptr2),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3),
"w"(_k0123), // %14
"w"(_k3456), // %15
"w"(_k6789) // %16
: "cc", "memory", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
#if defined(__ARM_NEON)
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r30 = vld1q_f32(r3);
float32x4_t _sum = vmulq_f32(_r00, _k0123);
_sum = vmlaq_f32(_sum, _r10, _k3456);
_sum = vmlaq_f32(_sum, _r20, _k6789);
float32x4_t _sum2 = vmulq_f32(_r10, _k0123);
_sum2 = vmlaq_f32(_sum2, _r20, _k3456);
_sum2 = vmlaq_f32(_sum2, _r30, _k6789);
_sum = vsetq_lane_f32(*outptr, _sum, 3);
_sum2 = vsetq_lane_f32(*outptr2, _sum2, 3);
#if __aarch64__
*outptr = vaddvq_f32(_sum);
*outptr2 = vaddvq_f32(_sum2);
#else
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
float32x2_t _ss2 = vadd_f32(vget_low_f32(_sum2), vget_high_f32(_sum2));
float32x2_t _sss2 = vpadd_f32(_ss, _ss2);
*outptr = vget_lane_f32(_sss2, 0);
*outptr2 = vget_lane_f32(_sss2, 1);
#endif // __aarch64__
#else
float sum = 0;
float sum2 = 0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum2 += r1[0] * k0[0];
sum2 += r1[1] * k0[1];
sum2 += r1[2] * k0[2];
sum2 += r2[0] * k1[0];
sum2 += r2[1] * k1[1];
sum2 += r2[2] * k1[2];
sum2 += r3[0] * k2[0];
sum2 += r3[1] * k2[1];
sum2 += r3[2] * k2[2];
*outptr += sum;
*outptr2 += sum2;
#endif
r0++;
r1++;
r2++;
r3++;
outptr++;
outptr2++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr += outw;
outptr2 += outw;
}
for (; i < outh; i++)
{
#if defined(__ARM_NEON)
int nn = outw >> 2;
int remain = outw & 3;
#else
int remain = outw;
#endif // __ARM_NEON
#if defined(__ARM_NEON)
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum1 = vld1q_f32(outptr);
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r00n = vld1q_f32(r0 + 4);
float32x4_t _r01 = vextq_f32(_r00, _r00n, 1);
float32x4_t _r02 = vextq_f32(_r00, _r00n, 2);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r10n = vld1q_f32(r1 + 4);
float32x4_t _r11 = vextq_f32(_r10, _r10n, 1);
float32x4_t _r12 = vextq_f32(_r10, _r10n, 2);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r20n = vld1q_f32(r2 + 4);
float32x4_t _r21 = vextq_f32(_r20, _r20n, 1);
float32x4_t _r22 = vextq_f32(_r20, _r20n, 2);
_sum1 = vfmaq_laneq_f32(_sum1, _r00, _k0123, 0);
float32x4_t _sum2 = vmulq_laneq_f32(_r01, _k0123, 1);
_sum1 = vfmaq_laneq_f32(_sum1, _r02, _k0123, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r10, _k3456, 0);
_sum1 = vfmaq_laneq_f32(_sum1, _r11, _k3456, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r12, _k3456, 2);
_sum1 = vfmaq_laneq_f32(_sum1, _r20, _k6789, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r21, _k6789, 1);
_sum1 = vfmaq_laneq_f32(_sum1, _r22, _k6789, 2);
_sum1 = vaddq_f32(_sum1, _sum2);
vst1q_f32(outptr, _sum1);
r0 += 4;
r1 += 4;
r2 += 4;
outptr += 4;
}
#else
if (nn > 0)
{
asm volatile(
"pld [%2, #192] \n"
"vld1.f32 {d16-d18}, [%2] \n"// r0
"add %2, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"0: \n"
"pld [%1, #128] \n"
"vld1.f32 {d14-d15}, [%1] \n"// _sum
"vmla.f32 q7, q8, %e10[0] \n"
"vmul.f32 q13, q10, %e10[1] \n"
"vmul.f32 q14, q11, %f10[0] \n"
"pld [%3, #192] \n"
"vld1.f32 {d16-d18}, [%3] \n"// r1
"add %3, #16 \n"
"vmla.f32 q7, q8, %e11[0] \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vmla.f32 q13, q10, %e11[1] \n"
"vmla.f32 q14, q11, %f11[0] \n"
"pld [%4, #192] \n"
"vld1.f32 {d16-d18}, [%4] \n"// r2
"add %4, #16 \n"
"vmla.f32 q7, q8, %e12[0] \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vmla.f32 q13, q10, %e12[1] \n"
"vmla.f32 q14, q11, %f12[0] \n"
"pld [%2, #192] \n"
"vld1.f32 {d16-d18}, [%2] \n"// r0
"add %2, #16 \n"
"vadd.f32 q7, q7, q13 \n"
"vadd.f32 q7, q7, q14 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vst1.f32 {d14-d15}, [%1]! \n"
"subs %0, #1 \n"
"bne 0b \n"
"sub %2, #16 \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k0123), // %10
"w"(_k3456), // %11
"w"(_k6789) // %12
: "cc", "memory", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
#if defined(__ARM_NEON)
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _sum = vmulq_f32(_r00, _k0123);
_sum = vmlaq_f32(_sum, _r10, _k3456);
_sum = vmlaq_f32(_sum, _r20, _k6789);
_sum = vsetq_lane_f32(*outptr, _sum, 3);
#if __aarch64__
*outptr = vaddvq_f32(_sum);
#else
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
_ss = vpadd_f32(_ss, _ss);
*outptr = vget_lane_f32(_ss, 0);
#endif // __aarch64__
#else
float sum = 0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
*outptr += sum;
#endif
r0++;
r1++;
r2++;
outptr++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
}
}
}
static void conv3x3s1_winograd64_transform_kernel_neon(const Mat& kernel, Mat& kernel_tm, int inch, int outch)
{
kernel_tm.create(8*8, inch, outch);
const float ktm[8][3] = {
{ 1.0f, 0.0f, 0.0f},
{-2.0f/9, -2.0f/9, -2.0f/9},
{-2.0f/9, 2.0f/9, -2.0f/9},
{1.0f/90, 1.0f/45, 2.0f/45},
{1.0f/90, -1.0f/45, 2.0f/45},
{1.0f/45, 1.0f/90, 1.0f/180},
{1.0f/45, -1.0f/90, 1.0f/180},
{ 0.0f, 0.0f, 1.0f}
};
#pragma omp parallel for
for (int p = 0; p<outch; p++)
{
for (int q = 0; q<inch; q++)
{
const float* kernel0 = kernel.data + p*inch * 9 + q * 9;
float* kernel_tm0 = kernel_tm.channel(p).row(q);
// transform kernel, transposed
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
// h
float tmp[8][3];
for (int i=0; i<8; i++)
{
tmp[i][0] = k0[0] * ktm[i][0] + k0[1] * ktm[i][1] + k0[2] * ktm[i][2];
tmp[i][1] = k1[0] * ktm[i][0] + k1[1] * ktm[i][1] + k1[2] * ktm[i][2];
tmp[i][2] = k2[0] * ktm[i][0] + k2[1] * ktm[i][1] + k2[2] * ktm[i][2];
}
// v
for (int j=0; j<8; j++)
{
float* tmpp = &tmp[j][0];
for (int i=0; i<8; i++)
{
kernel_tm0[j*8 + i] = tmpp[0] * ktm[i][0] + tmpp[1] * ktm[i][1] + tmpp[2] * ktm[i][2];
}
}
}
}
}
static void conv3x3s1_winograd64_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel_tm, const Mat& _bias)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
// pad to 6n+2
Mat bottom_blob_bordered = bottom_blob;
outw = (outw + 5) / 6 * 6;
outh = (outh + 5) / 6 * 6;
w = outw + 2;
h = outh + 2;
copy_make_border(bottom_blob, bottom_blob_bordered, 0, h - bottom_blob.h, 0, w - bottom_blob.w, 0, 0.f);
const float* bias = _bias;
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
bottom_blob_tm.create(8*8, w_tm/8 * h_tm/8, inch);
// const float itm[8][8] = {
// {1.0f, 0.0f, -5.25f, 0.00f, 5.25f, 0.00f, -1.0f, 0.0f},
//
// {0.0f, 1.0f, 1.00f, -4.25f, -4.25f, 1.00f, 1.0f, 0.0f},
// {0.0f, -1.0f, 1.00f, 4.25f, -4.25f, -1.00f, 1.0f, 0.0f},
//
// {0.0f, 0.5f, 0.25f, -2.50f, -1.25f, 2.00f, 1.0f, 0.0f},
// {0.0f, -0.5f, 0.25f, 2.50f, -1.25f, -2.00f, 1.0f, 0.0f},
//
// {0.0f, 2.0f, 4.00f, -2.50f, -5.00f, 0.50f, 1.0f, 0.0f},
// {0.0f, -2.0f, 4.00f, 2.50f, -5.00f, -0.50f, 1.0f, 0.0f},
//
// {0.0f, -1.0f, 0.00f, 5.25f, 0.00f, -5.25f, 0.0f, 1.0f}
// };
// 0 = r00 - r06 + (r04 - r02) * 5.25
// 7 = r07 - r01 + (r03 - r05) * 5.25
// 1 = (r02 + r06 - r04 * 4.25) + (r01 - r03 * 4.25 + r05)
// 2 = (r02 + r06 - r04 * 4.25) - (r01 - r03 * 4.25 + r05)
// 3 = (r06 + r02 * 0.25 - r04 * 1.25) + (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// 4 = (r06 + r02 * 0.25 - r04 * 1.25) - (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// reuse r04 * 1.25
// reuse r03 * 2.5
// 5 = (r06 + (r02 - r04 * 1.25) * 4) + (r01 * 2 - r03 * 2.5 + r05 * 0.5)
// 6 = (r06 + (r02 - r04 * 1.25) * 4) - (r01 * 2 - r03 * 2.5 + r05 * 0.5)
#pragma omp parallel for
for (int q = 0; q<inch; q++)
{
const Mat img0 = bottom_blob_bordered.channel(q);
Mat img0_tm = bottom_blob_tm.channel(q);
float tmp[8][8];
// tile
for (int i=0; i<h_tm/8; i++)
{
for (int j=0; j<w_tm/8; j++)
{
const float* r0 = img0.row(i * 6) + j * 6;
float* r0_tm = img0_tm.row(i * w_tm/8 + j);
// TODO neon optimize
for (int m=0; m<8; m++)
{
tmp[0][m] = r0[0] - r0[6] + (r0[4] - r0[2]) * 5.25f;
tmp[7][m] = r0[7] - r0[1] + (r0[3] - r0[5]) * 5.25f;
float tmp12a = (r0[2] + r0[6] - r0[4] * 4.25f);
float tmp12b = (r0[1] + r0[5] - r0[3] * 4.25f);
tmp[1][m] = tmp12a + tmp12b;
tmp[2][m] = tmp12a - tmp12b;
float tmp34a = (r0[6] + r0[2] * 0.25f - r0[4] * 1.25f);
float tmp34b = (r0[1] * 0.5f - r0[3] * 2.5f + r0[5] * 2);
tmp[3][m] = tmp34a + tmp34b;
tmp[4][m] = tmp34a - tmp34b;
float tmp56a = (r0[6] + (r0[2] - r0[4] * 1.25f) * 4);
float tmp56b = (r0[1] * 2 - r0[3] * 2.5f + r0[5] * 0.5f);
tmp[5][m] = tmp56a + tmp56b;
tmp[6][m] = tmp56a - tmp56b;
r0 += w;
}
for (int m=0; m<8; m++)
{
const float* tmp0 = tmp[m];
r0_tm[0] = tmp0[0] - tmp0[6] + (tmp0[4] - tmp0[2]) * 5.25f;
r0_tm[7] = tmp0[7] - tmp0[1] + (tmp0[3] - tmp0[5]) * 5.25f;
float tmp12a = (tmp0[2] + tmp0[6] - tmp0[4] * 4.25f);
float tmp12b = (tmp0[1] - tmp0[3] * 4.25f + tmp0[5]);
r0_tm[1] = tmp12a + tmp12b;
r0_tm[2] = tmp12a - tmp12b;
float tmp34a = (tmp0[6] + tmp0[2] * 0.25f - tmp0[4] * 1.25f);
float tmp34b = (tmp0[1] * 0.5f - tmp0[3] * 2.5f + tmp0[5] * 2);
r0_tm[3] = tmp34a + tmp34b;
r0_tm[4] = tmp34a - tmp34b;
float tmp56a = (tmp0[6] + (tmp0[2] - tmp0[4] * 1.25f) * 4);
float tmp56b = (tmp0[1] * 2 - tmp0[3] * 2.5f + tmp0[5] * 0.5f);
r0_tm[5] = tmp56a + tmp56b;
r0_tm[6] = tmp56a - tmp56b;
r0_tm += 8;
}
}
}
}
}
// END transform input
// BEGIN dot
Mat top_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
top_blob_tm.create(8*8, w_tm/8 * h_tm/8, outch);
#pragma omp parallel for
for (int p = 0; p<outch; p++)
{
Mat out0_tm = top_blob_tm.channel(p);
const Mat kernel0_tm = kernel_tm.channel(p);
out0_tm.fill(0.f);
int q = 0;
for (; q+3<inch; q+=4)
{
const float* r0 = bottom_blob_tm.channel(q);
const float* r1 = bottom_blob_tm.channel(q+1);
const float* r2 = bottom_blob_tm.channel(q+2);
const float* r3 = bottom_blob_tm.channel(q+3);
const float* k0 = kernel0_tm.row(q);
const float* k1 = kernel0_tm.row(q+1);
const float* k2 = kernel0_tm.row(q+2);
const float* k3 = kernel0_tm.row(q+3);
float* output0_tm = out0_tm;
// tile
for (int i=0; i<h_tm/8 * w_tm/8; i++)
{
#if defined(__ARM_NEON)
#if __aarch64__
for (int m=0; m+7<64; m+=8)
{
float32x4_t _output0_tm = vld1q_f32(output0_tm);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r2 = vld1q_f32(r2);
float32x4_t _r3 = vld1q_f32(r3);
float32x4_t _k0 = vld1q_f32(k0);
float32x4_t _k1 = vld1q_f32(k1);
float32x4_t _k2 = vld1q_f32(k2);
float32x4_t _k3 = vld1q_f32(k3);
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1);
_output0_tm = vmlaq_f32(_output0_tm, _r2, _k2);
_output0_tm = vmlaq_f32(_output0_tm, _r3, _k3);
vst1q_f32(output0_tm, _output0_tm);
output0_tm += 4;
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
k0 += 4;
k1 += 4;
k2 += 4;
k3 += 4;
float32x4_t _output0_tmn = vld1q_f32(output0_tm);
float32x4_t _r0n = vld1q_f32(r0);
float32x4_t _r1n = vld1q_f32(r1);
float32x4_t _r2n = vld1q_f32(r2);
float32x4_t _r3n = vld1q_f32(r3);
float32x4_t _k0n = vld1q_f32(k0);
float32x4_t _k1n = vld1q_f32(k1);
float32x4_t _k2n = vld1q_f32(k2);
float32x4_t _k3n = vld1q_f32(k3);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0n);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1n);
_output0_tmn = vmlaq_f32(_output0_tmn, _r2n, _k2n);
_output0_tmn = vmlaq_f32(_output0_tmn, _r3n, _k3n);
vst1q_f32(output0_tm, _output0_tmn);
output0_tm += 4;
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
k0 += 4;
k1 += 4;
k2 += 4;
k3 += 4;
}
#else
asm volatile(
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"mov r4, %0 \n"
"pld [%0, #256] \n"
"vld1.f32 {d24-d27}, [%0 :128]!\n"//q12 q13 = output0_tm
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q13, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%0, #256] \n"
"vld1.f32 {d28-d31}, [%0 :128]!\n"//q14 q15 = output0_tm
"vmla.f32 q13, q9, q11 \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"vst1.f32 {d24-d27}, [r4 :128]!\n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q15, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"pld [%0, #256] \n"
"vld1.f32 {d24-d27}, [%0 :128]!\n"//q12 q13 = output0_tm
"vmla.f32 q15, q9, q11 \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"vst1.f32 {d28-d31}, [r4 :128]!\n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q13, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%0, #256] \n"
"vld1.f32 {d28-d31}, [%0 :128]!\n"//q14 q15 = output0_tm
"vmla.f32 q13, q9, q11 \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"vst1.f32 {d24-d27}, [r4 :128]!\n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q15, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"pld [%0, #256] \n"
"vld1.f32 {d24-d27}, [%0 :128]!\n"//q12 q13 = output0_tm
"vmla.f32 q15, q9, q11 \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"vst1.f32 {d28-d31}, [r4 :128]!\n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q13, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%0, #256] \n"
"vld1.f32 {d28-d31}, [%0 :128]!\n"//q14 q15 = output0_tm
"vmla.f32 q13, q9, q11 \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"vst1.f32 {d24-d27}, [r4 :128]!\n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q15, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"pld [%0, #256] \n"
"vld1.f32 {d24-d27}, [%0 :128]!\n"//q12 q13 = output0_tm
"vmla.f32 q15, q9, q11 \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"vst1.f32 {d28-d31}, [r4 :128]!\n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q13, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q12, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q13, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q12, q8, q10 \n"
"pld [%0, #256] \n"
"vld1.f32 {d28-d31}, [%0 :128]!\n"//q14 q15 = output0_tm
"vmla.f32 q13, q9, q11 \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n"
"pld [%5, #256] \n"
"vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"vst1.f32 {d24-d27}, [r4 :128]!\n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%6, #256] \n"
"vld1.f32 {d20-d23}, [%6 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n"
"vmla.f32 q15, q9, q11 \n"
"pld [%7, #256] \n"
"vld1.f32 {d4-d7}, [%7 :128]! \n"
"vmla.f32 q14, q0, q2 \n"
"pld [%4, #256] \n"
"vld1.f32 {d16-d19}, [%4 :128]!\n"
"vmla.f32 q15, q1, q3 \n"
"pld [%8, #256] \n"
"vld1.f32 {d20-d23}, [%8 :128]!\n"
"vmla.f32 q14, q8, q10 \n"
"vmla.f32 q15, q9, q11 \n"
"vst1.f32 {d28-d31}, [r4 :128]!\n"
: "=r"(output0_tm), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(k0), // %5
"=r"(k1), // %6
"=r"(k2), // %7
"=r"(k3) // %8
: "0"(output0_tm),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(k0),
"6"(k1),
"7"(k2),
"8"(k3)
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
k0 -= 64;
k1 -= 64;
k2 -= 64;
k3 -= 64;
#else
for (int m=0; m<64; m++)
{
output0_tm[m] += r0[m] * k0[m];
output0_tm[m] += r1[m] * k1[m];
output0_tm[m] += r2[m] * k2[m];
output0_tm[m] += r3[m] * k3[m];
}
r0 += 64;
r1 += 64;
r2 += 64;
r3 += 64;
output0_tm += 64;
#endif // __ARM_NEON
}
}
for (; q<inch; q++)
{
const float* r0 = bottom_blob_tm.channel(q);
const float* k0 = kernel0_tm.row(q);
float* output0_tm = out0_tm;
// tile
for (int i=0; i<h_tm/8 * w_tm/8; i++)
{
// TODO neon optimize
for (int m=0; m<64; m++)
{
output0_tm[m] += r0[m] * k0[m];
}
r0 += 64;
output0_tm += 64;
}
}
}
}
bottom_blob_tm = Mat();
// END dot
// BEGIN transform output
Mat top_blob_bordered;
top_blob_bordered.create(outw, outh, outch);
{
// const float otm[6][8] = {
// {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 32.0f, 32.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 2.0f, -2.0f, 16.0f,-16.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 4.0f, 4.0f, 8.0f, 8.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 8.0f, -8.0f, 4.0f, -4.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 16.0f, 16.0f, 2.0f, 2.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 32.0f, -32.0f, 1.0f, -1.0f, 1.0f}
// };
// 0 = r0 + (r1 + r2) + (r3 + r4) + (r5 + r6) * 32
// 1 = (r1 - r2) + (r3 - r4) * 2 + (r5 - r6) * 16
// 2 = (r1 + r2) + (r3 + r4) * 4 + (r5 + r6) * 8
// 3 = (r1 - r2) + (r3 - r4) * 8 + (r5 - r6) * 4
// 4 = (r1 + r2) + (r3 + r4) * 16+ (r5 + r6) * 2
// 5 = r7 + (r1 - r2) + (r3 - r4) * 32+ (r5 - r6)
int w_tm = outw / 6 * 8;
// int h_tm = outh / 6 * 8;
#pragma omp parallel for
for (int p = 0; p<outch; p++)
{
const Mat out0_tm = top_blob_tm.channel(p);
Mat out0 = top_blob_bordered.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
float tmp[6][8];
// tile
for (int i=0; i<outh/6; i++)
{
for (int j=0; j<outw/6; j++)
{
const float* output0_tm = out0_tm.row(i * w_tm/8 + j);
float* output0 = out0.row(i * 6) + j * 6;
// TODO neon optimize
for (int m=0; m<8; m++)
{
float tmp024a = output0_tm[1] + output0_tm[2];
float tmp135a = output0_tm[1] - output0_tm[2];
float tmp024b = output0_tm[3] + output0_tm[4];
float tmp135b = output0_tm[3] - output0_tm[4];
float tmp024c = output0_tm[5] + output0_tm[6];
float tmp135c = output0_tm[5] - output0_tm[6];
tmp[0][m] = output0_tm[0] + tmp024a + tmp024b + tmp024c * 32;
tmp[2][m] = tmp024a + tmp024b * 4 + tmp024c * 8;
tmp[4][m] = tmp024a + tmp024b * 16 + tmp024c + tmp024c;
tmp[1][m] = tmp135a + tmp135b + tmp135b + tmp135c * 16;
tmp[3][m] = tmp135a + tmp135b * 8 + tmp135c * 4;
tmp[5][m] = output0_tm[7] + tmp135a + tmp135b * 32 + tmp135c;
output0_tm += 8;
}
for (int m=0; m<6; m++)
{
const float* tmp0 = tmp[m];
float tmp024a = tmp0[1] + tmp0[2];
float tmp135a = tmp0[1] - tmp0[2];
float tmp024b = tmp0[3] + tmp0[4];
float tmp135b = tmp0[3] - tmp0[4];
float tmp024c = tmp0[5] + tmp0[6];
float tmp135c = tmp0[5] - tmp0[6];
output0[0] = bias0 + tmp0[0] + tmp024a + tmp024b + tmp024c * 32;
output0[2] = bias0 + tmp024a + tmp024b * 4 + tmp024c * 8;
output0[4] = bias0 + tmp024a + tmp024b * 16 + tmp024c + tmp024c;
output0[1] = bias0 + tmp135a + tmp135b + tmp135b + tmp135c * 16;
output0[3] = bias0 + tmp135a + tmp135b * 8 + tmp135c * 4;
output0[5] = bias0 + tmp0[7] + tmp135a + tmp135b * 32 + tmp135c;
output0 += outw;
}
}
}
}
}
// END transform output
// cut result pad
copy_cut_border(top_blob_bordered, top_blob, 0, top_blob_bordered.h - top_blob.h, 0, top_blob_bordered.w - top_blob.w);
}
static void conv3x3s1_winograd64_neon2(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel_tm, const Mat& _bias)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
// pad to 6n+2
Mat bottom_blob_bordered = bottom_blob;
outw = (outw + 5) / 6 * 6;
outh = (outh + 5) / 6 * 6;
w = outw + 2;
h = outh + 2;
copy_make_border(bottom_blob, bottom_blob_bordered, 0, h - bottom_blob.h, 0, w - bottom_blob.w, 0, 0.f);
const float* bias = _bias;
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
bottom_blob_tm.create(2*8, 4 * w_tm/8 * h_tm/8, inch);
const int tiles = w_tm/8 * h_tm/8;
// const float itm[8][8] = {
// {1.0f, 0.0f, -5.25f, 0.00f, 5.25f, 0.00f, -1.0f, 0.0f},
//
// {0.0f, 1.0f, 1.00f, -4.25f, -4.25f, 1.00f, 1.0f, 0.0f},
// {0.0f, -1.0f, 1.00f, 4.25f, -4.25f, -1.00f, 1.0f, 0.0f},
//
// {0.0f, 0.5f, 0.25f, -2.50f, -1.25f, 2.00f, 1.0f, 0.0f},
// {0.0f, -0.5f, 0.25f, 2.50f, -1.25f, -2.00f, 1.0f, 0.0f},
//
// {0.0f, 2.0f, 4.00f, -2.50f, -5.00f, 0.50f, 1.0f, 0.0f},
// {0.0f, -2.0f, 4.00f, 2.50f, -5.00f, -0.50f, 1.0f, 0.0f},
//
// {0.0f, -1.0f, 0.00f, 5.25f, 0.00f, -5.25f, 0.0f, 1.0f}
// };
// 0 = r00 - r06 + (r04 - r02) * 5.25
// 7 = r07 - r01 + (r03 - r05) * 5.25
// 1 = (r02 + r06 - r04 * 4.25) + (r01 - r03 * 4.25 + r05)
// 2 = (r02 + r06 - r04 * 4.25) - (r01 - r03 * 4.25 + r05)
// 3 = (r06 + r02 * 0.25 - r04 * 1.25) + (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// 4 = (r06 + r02 * 0.25 - r04 * 1.25) - (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// reuse r04 * 1.25
// reuse r03 * 2.5
// 5 = (r06 + (r02 - r04 * 1.25) * 4) + (r01 * 2 - r03 * 2.5 + r05 * 0.5)
// 6 = (r06 + (r02 - r04 * 1.25) * 4) - (r01 * 2 - r03 * 2.5 + r05 * 0.5)
#pragma omp parallel for
for (int q = 0; q<inch; q++)
{
const Mat img0 = bottom_blob_bordered.channel(q);
Mat img0_tm = bottom_blob_tm.channel(q);
float tmp[8][8];
// tile
for (int i=0; i<h_tm/8; i++)
{
for (int j=0; j<w_tm/8; j++)
{
const float* r0 = img0.row(i * 6) + j * 6;
float* r0_tm01 = img0_tm.row(i * w_tm/8 + j);
float* r0_tm23 = img0_tm.row(tiles + i * w_tm/8 + j);
float* r0_tm45 = img0_tm.row(tiles * 2 + i * w_tm/8 + j);
float* r0_tm67 = img0_tm.row(tiles * 3 + i * w_tm/8 + j);
for (int m=0; m<8; m++)
{
tmp[0][m] = r0[0] - r0[6] + (r0[4] - r0[2]) * 5.25f;
tmp[7][m] = r0[7] - r0[1] + (r0[3] - r0[5]) * 5.25f;
float tmp12a = (r0[2] + r0[6] - r0[4] * 4.25f);
float tmp12b = (r0[1] + r0[5] - r0[3] * 4.25f);
tmp[1][m] = tmp12a + tmp12b;
tmp[2][m] = tmp12a - tmp12b;
float tmp34a = (r0[6] + r0[2] * 0.25f - r0[4] * 1.25f);
float tmp34b = (r0[1] * 0.5f - r0[3] * 2.5f + r0[5] * 2);
tmp[3][m] = tmp34a + tmp34b;
tmp[4][m] = tmp34a - tmp34b;
float tmp56a = (r0[6] + (r0[2] - r0[4] * 1.25f) * 4);
float tmp56b = (r0[1] * 2 - r0[3] * 2.5f + r0[5] * 0.5f);
tmp[5][m] = tmp56a + tmp56b;
tmp[6][m] = tmp56a - tmp56b;
r0 += w;
}
float* r0_tms[4] = { r0_tm01, r0_tm23, r0_tm45, r0_tm67 };
for (int m=0; m<8; m++)
{
const float* tmp0 = tmp[m];
float* r0_tm = r0_tms[m/2] + (m%2) * 8;
r0_tm[0] = tmp0[0] - tmp0[6] + (tmp0[4] - tmp0[2]) * 5.25f;
r0_tm[7] = tmp0[7] - tmp0[1] + (tmp0[3] - tmp0[5]) * 5.25f;
float tmp12a = (tmp0[2] + tmp0[6] - tmp0[4] * 4.25f);
float tmp12b = (tmp0[1] - tmp0[3] * 4.25f + tmp0[5]);
r0_tm[1] = tmp12a + tmp12b;
r0_tm[2] = tmp12a - tmp12b;
float tmp34a = (tmp0[6] + tmp0[2] * 0.25f - tmp0[4] * 1.25f);
float tmp34b = (tmp0[1] * 0.5f - tmp0[3] * 2.5f + tmp0[5] * 2);
r0_tm[3] = tmp34a + tmp34b;
r0_tm[4] = tmp34a - tmp34b;
float tmp56a = (tmp0[6] + (tmp0[2] - tmp0[4] * 1.25f) * 4);
float tmp56b = (tmp0[1] * 2 - tmp0[3] * 2.5f + tmp0[5] * 0.5f);
r0_tm[5] = tmp56a + tmp56b;
r0_tm[6] = tmp56a - tmp56b;
}
}
}
}
}
// END transform input
// BEGIN dot
Mat top_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
top_blob_tm.create(2*8, 4 * w_tm/8 * h_tm/8, outch);
const int tiles = h_tm/8 * w_tm/8;
#pragma omp parallel for
for (int p = 0; p<outch; p++)
{
Mat out0_tm = top_blob_tm.channel(p);
const Mat kernel0_tm = kernel_tm.channel(p);
out0_tm.fill(0.f);
int q = 0;
for (; q+1<inch; q+=2)
{
const float* r0 = bottom_blob_tm.channel(q);
const float* r1 = bottom_blob_tm.channel(q+1);
const float* k0 = kernel0_tm.row(q);
const float* k1 = kernel0_tm.row(q+1);
float* output0_tm = out0_tm;
for (int r=0; r<4; r++)
{
#if defined(__ARM_NEON)
#if __aarch64__
float32x4_t _k0 = vld1q_f32(k0);
float32x4_t _k0n = vld1q_f32(k0+4);
float32x4_t _k0nn = vld1q_f32(k0+8);
float32x4_t _k0nnn = vld1q_f32(k0+12);
float32x4_t _k1 = vld1q_f32(k1);
float32x4_t _k1n = vld1q_f32(k1+4);
float32x4_t _k1nn = vld1q_f32(k1+8);
float32x4_t _k1nnn = vld1q_f32(k1+12);
#else
float32x4_t _k0;
float32x4_t _k0n;
float32x4_t _k0nn;
float32x4_t _k0nnn;
float32x4_t _k1;
float32x4_t _k1n;
float32x4_t _k1nn;
float32x4_t _k1nnn;
asm volatile(
"pld [%0, #512] \n"
"vld1.f32 {%e2-%f2}, [%0 :128]! \n"
"pld [%1, #512] \n"
"vld1.f32 {%e4-%f4}, [%1 :128]! \n"
"vld1.f32 {%e3-%f3}, [%0 :128]! \n"
"vld1.f32 {%e5-%f5}, [%1 :128]! \n"
"vld1.f32 {%e6-%f6}, [%0 :128]! \n"
"vld1.f32 {%e8-%f8}, [%1 :128]! \n"
"vld1.f32 {%e7-%f7}, [%0 :128]! \n"
"vld1.f32 {%e9-%f9}, [%1 :128]! \n"
: "=r"(k0), // %0
"=r"(k1), // %1
"=w"(_k0), // %2
"=w"(_k0n), // %3
"=w"(_k1), // %4
"=w"(_k1n), // %5
"=w"(_k0nn), // %6
"=w"(_k0nnn), // %7
"=w"(_k1nn), // %8
"=w"(_k1nnn) // %9
: "0"(k0),
"1"(k1)
: "cc", "memory"
);
#endif // __aarch64__
#endif // __ARM_NEON
// tile
#if defined(__ARM_NEON)
int nn = tiles >> 2;
int remain = tiles & 3;
#else
int remain = tiles;
#endif // __ARM_NEON
#if defined(__ARM_NEON)
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _output0_tm = vld1q_f32(output0_tm);
float32x4_t _output0_tmn = vld1q_f32(output0_tm+4);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r0n = vld1q_f32(r0+4);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0n);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1n);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0nnn);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1nnn);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0n);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1n);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0nnn);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1nnn);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0n);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1n);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0nnn);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1nnn);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0n);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1n);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0nnn);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1nnn);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
}
#else
if (nn > 0)
{
asm volatile(
"mov r4, %1 \n"
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"pld [%1, #256] \n"
"vld1.f32 {d16-d19}, [%1 :128]! \n"// q8 q9 = _output0_tm
"vmla.f32 q8, q12, %q8 \n"
"vmla.f32 q9, q13, %q9 \n"
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"0: \n"
"pld [%1, #256] \n"
"vld1.f32 {d20-d23}, [%1 :128]! \n"// q10 q11 = _output0_tm
"vmla.f32 q10, q12, %q12 \n"
"vmla.f32 q11, q13, %q13 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"vmla.f32 q8, q14, %q10 \n"
"vmla.f32 q9, q15, %q11 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"vmla.f32 q10, q14, %q14 \n"
"vmla.f32 q11, q15, %q15 \n"
"vst1.f32 {d16-d19}, [r4 :128]! \n"
"pld [%1, #256] \n"
"vld1.f32 {d16-d19}, [%1 :128]! \n"// q8 q9 = _output0_tm
"vmla.f32 q8, q12, %q8 \n"
"vmla.f32 q9, q13, %q9 \n"
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"vst1.f32 {d20-d23}, [r4 :128]! \n"
"pld [%1, #256] \n"
"vld1.f32 {d20-d23}, [%1 :128]! \n"// q10 q11 = _output0_tm
"vmla.f32 q10, q12, %q12 \n"
"vmla.f32 q11, q13, %q13 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"vmla.f32 q8, q14, %q10 \n"
"vmla.f32 q9, q15, %q11 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"vmla.f32 q10, q14, %q14 \n"
"vmla.f32 q11, q15, %q15 \n"
"vst1.f32 {d16-d19}, [r4 :128]! \n"
"pld [%1, #256] \n"
"vld1.f32 {d16-d19}, [%1 :128]! \n"// q8 q9 = _output0_tm
"vmla.f32 q8, q12, %q8 \n"
"vmla.f32 q9, q13, %q9 \n"
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"vst1.f32 {d20-d23}, [r4 :128]! \n"
"pld [%1, #256] \n"
"vld1.f32 {d20-d23}, [%1 :128]! \n"// q10 q11 = _output0_tm
"vmla.f32 q10, q12, %q12 \n"
"vmla.f32 q11, q13, %q13 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"vmla.f32 q8, q14, %q10 \n"
"vmla.f32 q9, q15, %q11 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"vmla.f32 q10, q14, %q14 \n"
"vmla.f32 q11, q15, %q15 \n"
"vst1.f32 {d16-d19}, [r4 :128]! \n"
"pld [%1, #256] \n"
"vld1.f32 {d16-d19}, [%1 :128]! \n"// q8 q9 = _output0_tm
"vmla.f32 q8, q12, %q8 \n"
"vmla.f32 q9, q13, %q9 \n"
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"vst1.f32 {d20-d23}, [r4 :128]! \n"
"pld [%1, #256] \n"
"vld1.f32 {d20-d23}, [%1 :128]! \n"// q10 q11 = _output0_tm
"vmla.f32 q10, q12, %q12 \n"
"vmla.f32 q11, q13, %q13 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"vmla.f32 q8, q14, %q10 \n"
"vmla.f32 q9, q15, %q11 \n"
"pld [%3, #256] \n"
"vld1.f32 {d28-d31}, [%3 :128]! \n"// q14 q15 = _r1
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"vmla.f32 q10, q14, %q14 \n"
"vmla.f32 q11, q15, %q15 \n"
"vst1.f32 {d16-d19}, [r4 :128]! \n"
"pld [%1, #256] \n"
"vld1.f32 {d16-d19}, [%1 :128]! \n"// q8 q9 = _output0_tm
"vmla.f32 q8, q12, %q8 \n"
"vmla.f32 q9, q13, %q9 \n"
"pld [%2, #256] \n"
"vld1.f32 {d24-d27}, [%2 :128]! \n"// q12 q13 = _r0
"subs %0, #1 \n"
"vst1.f32 {d20-d23}, [r4 :128]! \n"
"bne 0b \n"
"sub %1, #32 \n"
"sub %2, #64 \n"
: "=r"(nn), // %0
"=r"(output0_tm), // %1
"=r"(r0), // %2
"=r"(r1) // %3
: "0"(nn),
"1"(output0_tm),
"2"(r0),
"3"(r1),
"w"(_k0), // %8
"w"(_k0n), // %9
"w"(_k1), // %10
"w"(_k1n), // %11
"w"(_k0nn), // %12
"w"(_k0nnn), // %13
"w"(_k1nn), // %14
"w"(_k1nnn) // %15
: "cc", "memory", "r4", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
#if defined(__ARM_NEON)
#if __aarch64__
float32x4_t _output0_tm = vld1q_f32(output0_tm);
float32x4_t _output0_tmn = vld1q_f32(output0_tm+4);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r0n = vld1q_f32(r0+4);
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0n);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1n);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
_r1 = vld1q_f32(r1);
_r1n = vld1q_f32(r1+4);
r0 += 8;
r1 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0nnn);
_output0_tm = vmlaq_f32(_output0_tm, _r1, _k1nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r1n, _k1nnn);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
#else
asm volatile(
"mov r4, %0 \n"
"pld [%1, #256] \n"
"vld1.f32 {d24-d27}, [%1 :128]! \n"// q12 q13 = _r0
"pld [%0, #256] \n"
"vld1.f32 {d16-d19}, [%0 :128]! \n"// q8 q9 = _output0_tm
"vmla.f32 q8, q12, %q6 \n"
"pld [%2, #256] \n"
"vld1.f32 {d28-d31}, [%2 :128]! \n"// q14 q15 = _r1
"vmla.f32 q9, q13, %q7 \n"
"pld [%1, #256] \n"
"vld1.f32 {d24-d27}, [%1 :128]! \n"// q12 q13 = _r0
"vmla.f32 q8, q14, %q8 \n"
"pld [%0, #256] \n"
"vld1.f32 {d20-d23}, [%0 :128] \n"// q10 q11 = _output0_tm
"vmla.f32 q9, q15, %q9 \n"
"vmla.f32 q10, q12, %q10 \n"
"vmla.f32 q11, q13, %q11 \n"
"vst1.f32 {d16-d19}, [r4 :128] \n"
"pld [%2, #256] \n"
"vld1.f32 {d28-d31}, [%2 :128]! \n"// q14 q15 = _r1
"vmla.f32 q10, q14, %q12 \n"
"vmla.f32 q11, q15, %q13 \n"
"vst1.f32 {d20-d23}, [%0 :128]! \n"
: "=r"(output0_tm), // %0
"=r"(r0), // %1
"=r"(r1) // %2
: "0"(output0_tm),
"1"(r0),
"2"(r1),
"w"(_k0), // %6
"w"(_k0n), // %7
"w"(_k1), // %8
"w"(_k1n), // %9
"w"(_k0nn), // %10
"w"(_k0nnn), // %11
"w"(_k1nn), // %12
"w"(_k1nnn) // %13
: "cc", "memory", "r4", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
#else
for (int m=0; m<16; m++)
{
output0_tm[m] += r0[m] * k0[m];
output0_tm[m] += r1[m] * k1[m];
}
r0 += 16;
r1 += 16;
output0_tm += 16;
#endif // __ARM_NEON
}
#if defined(__ARM_NEON)
#if __aarch64__
k0 += 16;
k1 += 16;
#endif // __aarch64__
#else
k0 += 16;
k1 += 16;
#endif // __ARM_NEON
}
}
for (; q<inch; q++)
{
const float* r0 = bottom_blob_tm.channel(q);
const float* k0 = kernel0_tm.row(q);
float* output0_tm = out0_tm;
for (int r=0; r<4; r++)
{
#if defined(__ARM_NEON)
#if __aarch64__
float32x4_t _k0 = vld1q_f32(k0);
float32x4_t _k0n = vld1q_f32(k0+4);
float32x4_t _k0nn = vld1q_f32(k0+8);
float32x4_t _k0nnn = vld1q_f32(k0+12);
#else
float32x4_t _k0;
float32x4_t _k0n;
float32x4_t _k0nn;
float32x4_t _k0nnn;
asm volatile(
"pld [%0, #512] \n"
"vld1.f32 {%e1-%f1}, [%0 :128]! \n"
"vld1.f32 {%e2-%f2}, [%0 :128]! \n"
"vld1.f32 {%e3-%f3}, [%0 :128]! \n"
"vld1.f32 {%e4-%f4}, [%0 :128]! \n"
: "=r"(k0), // %0
"=w"(_k0), // %1
"=w"(_k0n), // %2
"=w"(_k0nn), // %3
"=w"(_k0nnn) // %4
: "0"(k0)
: "cc", "memory"
);
#endif // __aarch64__
#endif // __ARM_NEON
// tile
for (int i=0; i<tiles; i++)
{
#if defined(__ARM_NEON)
#if __aarch64__
float32x4_t _output0_tm = vld1q_f32(output0_tm);
float32x4_t _output0_tmn = vld1q_f32(output0_tm+4);
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _r0n = vld1q_f32(r0+4);
r0 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0n);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
_output0_tm = vld1q_f32(output0_tm);
_output0_tmn = vld1q_f32(output0_tm+4);
_r0 = vld1q_f32(r0);
_r0n = vld1q_f32(r0+4);
r0 += 8;
_output0_tm = vmlaq_f32(_output0_tm, _r0, _k0nn);
_output0_tmn = vmlaq_f32(_output0_tmn, _r0n, _k0nnn);
vst1q_f32(output0_tm, _output0_tm);
vst1q_f32(output0_tm+4, _output0_tmn);
output0_tm += 8;
#else
asm volatile(
"mov r4, %0 \n"
"pld [%1, #256] \n"
"vld1.f32 {d24-d27}, [%1 :128]! \n"// q12 q13 = _r0
"pld [%0, #256] \n"
"vld1.f32 {d16-d19}, [%0 :128]! \n"// q8 q9 = _output0_tm
"vmla.f32 q8, q12, %q4 \n"
"vmla.f32 q9, q13, %q5 \n"
"pld [%1, #256] \n"
"vld1.f32 {d24-d27}, [%1 :128]! \n"// q12 q13 = _r0
"pld [%0, #256] \n"
"vld1.f32 {d20-d23}, [%0 :128] \n"// q10 q11 = _output0_tm
"vmla.f32 q10, q12, %q6 \n"
"vst1.f32 {d16-d19}, [r4 :128] \n"
"vmla.f32 q11, q13, %q7 \n"
"vst1.f32 {d20-d23}, [%0 :128]! \n"
: "=r"(output0_tm), // %0
"=r"(r0) // %1
: "0"(output0_tm),
"1"(r0),
"w"(_k0), // %4
"w"(_k0n), // %5
"w"(_k0nn), // %6
"w"(_k0nnn) // %7
: "cc", "memory", "r4", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
#else
for (int m=0; m<16; m++)
{
output0_tm[m] += r0[m] * k0[m];
}
r0 += 16;
output0_tm += 16;
#endif // __ARM_NEON
}
#if defined(__ARM_NEON)
#if __aarch64__
k0 += 16;
#endif // __aarch64__
#else
k0 += 16;
#endif // __ARM_NEON
}
}
}
}
bottom_blob_tm = Mat();
// END dot
// BEGIN transform output
Mat top_blob_bordered;
top_blob_bordered.create(outw, outh, outch);
{
// const float otm[6][8] = {
// {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 32.0f, 32.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 2.0f, -2.0f, 16.0f,-16.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 4.0f, 4.0f, 8.0f, 8.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 8.0f, -8.0f, 4.0f, -4.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 16.0f, 16.0f, 2.0f, 2.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 32.0f, -32.0f, 1.0f, -1.0f, 1.0f}
// };
// 0 = r0 + (r1 + r2) + (r3 + r4) + (r5 + r6) * 32
// 1 = (r1 - r2) + (r3 - r4) * 2 + (r5 - r6) * 16
// 2 = (r1 + r2) + (r3 + r4) * 4 + (r5 + r6) * 8
// 3 = (r1 - r2) + (r3 - r4) * 8 + (r5 - r6) * 4
// 4 = (r1 + r2) + (r3 + r4) * 16+ (r5 + r6) * 2
// 5 = r7 + (r1 - r2) + (r3 - r4) * 32+ (r5 - r6)
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = w_tm/8 * h_tm/8;
#pragma omp parallel for
for (int p = 0; p<outch; p++)
{
const Mat out0_tm = top_blob_tm.channel(p);
Mat out0 = top_blob_bordered.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
float tmp[6][8];
// tile
for (int i=0; i<outh/6; i++)
{
for (int j=0; j<outw/6; j++)
{
const float* output0_tm01 = out0_tm.row(i * w_tm/8 + j);
const float* output0_tm23 = out0_tm.row(tiles + i * w_tm/8 + j);
const float* output0_tm45 = out0_tm.row(tiles * 2 + i * w_tm/8 + j);
const float* output0_tm67 = out0_tm.row(tiles * 3 + i * w_tm/8 + j);
float* output0 = out0.row(i * 6) + j * 6;
const float* output0_tms[4] = { output0_tm01, output0_tm23, output0_tm45, output0_tm67 };
for (int m=0; m<8; m++)
{
const float* output0_tm = output0_tms[m/2] + (m%2) * 8;
float tmp024a = output0_tm[1] + output0_tm[2];
float tmp135a = output0_tm[1] - output0_tm[2];
float tmp024b = output0_tm[3] + output0_tm[4];
float tmp135b = output0_tm[3] - output0_tm[4];
float tmp024c = output0_tm[5] + output0_tm[6];
float tmp135c = output0_tm[5] - output0_tm[6];
tmp[0][m] = output0_tm[0] + tmp024a + tmp024b + tmp024c * 32;
tmp[2][m] = tmp024a + tmp024b * 4 + tmp024c * 8;
tmp[4][m] = tmp024a + tmp024b * 16 + tmp024c + tmp024c;
tmp[1][m] = tmp135a + tmp135b + tmp135b + tmp135c * 16;
tmp[3][m] = tmp135a + tmp135b * 8 + tmp135c * 4;
tmp[5][m] = output0_tm[7] + tmp135a + tmp135b * 32 + tmp135c;
}
for (int m=0; m<6; m++)
{
const float* tmp0 = tmp[m];
float tmp024a = tmp0[1] + tmp0[2];
float tmp135a = tmp0[1] - tmp0[2];
float tmp024b = tmp0[3] + tmp0[4];
float tmp135b = tmp0[3] - tmp0[4];
float tmp024c = tmp0[5] + tmp0[6];
float tmp135c = tmp0[5] - tmp0[6];
output0[0] = bias0 + tmp0[0] + tmp024a + tmp024b + tmp024c * 32;
output0[2] = bias0 + tmp024a + tmp024b * 4 + tmp024c * 8;
output0[4] = bias0 + tmp024a + tmp024b * 16 + tmp024c + tmp024c;
output0[1] = bias0 + tmp135a + tmp135b + tmp135b + tmp135c * 16;
output0[3] = bias0 + tmp135a + tmp135b * 8 + tmp135c * 4;
output0[5] = bias0 + tmp0[7] + tmp135a + tmp135b * 32 + tmp135c;
output0 += outw;
}
}
}
}
}
// END transform output
// cut result pad
copy_cut_border(top_blob_bordered, top_blob, 0, top_blob_bordered.h - top_blob.h, 0, top_blob_bordered.w - top_blob.w);
}
static void conv3x3s2_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias)
{
int w = bottom_blob.w;
// int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2*outw + w;
const float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
out.fill(bias0);
const float* kernel0 = kernel + p*inch*9;
for (int q=0; q<inch; q++)
{
float* outptr = out;
// float* outptr2 = outptr + outw;
const float* img0 = bottom_blob.channel(q);
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
#if defined(__ARM_NEON)
float32x4_t _k0123 = vld1q_f32(k0);
float32x4_t _k3456 = vld1q_f32(k1);
float32x4_t _k6789 = vld1q_f32(k2);
#endif // __ARM_NEON
int i = 0;
for (; i < outh; i++)
{
#if defined(__ARM_NEON)
int nn = outw >> 2;
int remain = outw & 3;
#else
int remain = outw;
#endif // __ARM_NEON
#if defined(__ARM_NEON)
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _outp = vld1q_f32(outptr);
float32x4x2_t _r0 = vld2q_f32(r0);
float32x4x2_t _r0n = vld2q_f32(r0+8);
float32x4_t _r00 = _r0.val[0];// 0 2 4 6
float32x4_t _r01 = _r0.val[1];// 1 3 5 7
float32x4_t _r02 = vextq_f32(_r00, _r0n.val[0], 1);// 2 4 6 8
_outp = vfmaq_laneq_f32(_outp, _r00, _k0123, 0);
_outp = vfmaq_laneq_f32(_outp, _r01, _k0123, 1);
_outp = vfmaq_laneq_f32(_outp, _r02, _k0123, 2);
float32x4x2_t _r1 = vld2q_f32(r1);
float32x4x2_t _r1n = vld2q_f32(r1+8);
float32x4_t _r10 = _r1.val[0];
float32x4_t _r11 = _r1.val[1];
float32x4_t _r12 = vextq_f32(_r10, _r1n.val[0], 1);
_outp = vfmaq_laneq_f32(_outp, _r10, _k3456, 0);
_outp = vfmaq_laneq_f32(_outp, _r11, _k3456, 1);
_outp = vfmaq_laneq_f32(_outp, _r12, _k3456, 2);
float32x4x2_t _r2 = vld2q_f32(r2);
float32x4x2_t _r2n = vld2q_f32(r2+8);
float32x4_t _r20 = _r2.val[0];
float32x4_t _r21 = _r2.val[1];
float32x4_t _r22 = vextq_f32(_r20, _r2n.val[0], 1);
_outp = vfmaq_laneq_f32(_outp, _r20, _k6789, 0);
_outp = vfmaq_laneq_f32(_outp, _r21, _k6789, 1);
_outp = vfmaq_laneq_f32(_outp, _r22, _k6789, 2);
vst1q_f32(outptr, _outp);
r0 += 8;
r1 += 8;
r2 += 8;
outptr += 4;
}
#else
if (nn > 0)
{
asm volatile(
"pld [%2, #256] \n"
"vld2.f32 {d4-d7}, [%2]! \n"
"0: \n"
"pld [%1, #128] \n"
"vld1.f32 {d0-d1}, [%1] \n"
"vmla.f32 q0, q2, %e10[0] \n"
"vmul.f32 q10, q3, %e10[1] \n"
"pld [%2, #128] \n"
"vld2.f32 {d16-d17}, [%2] \n"
"vext.32 q1, q2, q8, #1 \n"
"vmul.f32 q11, q1, %f10[0] \n"
"pld [%3, #256] \n"
"vld2.f32 {d4-d7}, [%3]! \n"
"vmla.f32 q0, q2, %e11[0] \n"
"vmla.f32 q10, q3, %e11[1] \n"
"pld [%3, #128] \n"
"vld2.f32 {d16-d17}, [%3] \n"
"vext.32 q1, q2, q8, #1 \n"
"vmla.f32 q11, q1, %f11[0] \n"
"pld [%4, #256] \n"
"vld2.f32 {d4-d7}, [%4]! \n"
"vmla.f32 q0, q2, %e12[0] \n"
"vmla.f32 q10, q3, %e12[1] \n"
"pld [%4, #128] \n"
"vld2.f32 {d16-d17}, [%4] \n"
"vext.32 q1, q2, q8, #1 \n"
"vmla.f32 q11, q1, %f12[0] \n"
"pld [%2, #256] \n"
"vld2.f32 {d4-d7}, [%2]! \n"
"vadd.f32 q0, q0, q10 \n"
"vadd.f32 q0, q0, q11 \n"
"subs %0, #1 \n"
"vst1.f32 {d0-d1}, [%1]! \n"
"bne 0b \n"
"sub %2, #32 \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k0123), // %10
"w"(_k3456), // %11
"w"(_k6789) // %12
: "cc", "memory", "q0", "q1", "q2", "q3", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
#if defined(__ARM_NEON)
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _sum = vmulq_f32(_r00, _k0123);
_sum = vmlaq_f32(_sum, _r10, _k3456);
_sum = vmlaq_f32(_sum, _r20, _k6789);
_sum = vsetq_lane_f32(*outptr, _sum, 3);
#if __aarch64__
*outptr = vaddvq_f32(_sum);
#else
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
_ss = vpadd_f32(_ss, _ss);
*outptr = vget_lane_f32(_ss, 0);
#endif // __aarch64__
#else
float sum = 0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
*outptr += sum;
#endif // __ARM_NEON
r0 += 2;
r1 += 2;
r2 += 2;
outptr++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
kernel0 += 9;
}
}
}
#endif // __ARM_NEON
|
spmm.h | /*!
* Copyright (c) 2020 by Contributors
* \file array/cpu/spmm.h
* \brief SPMM CPU kernel function header.
*/
#ifndef DGL_ARRAY_CPU_SPMM_H_
#define DGL_ARRAY_CPU_SPMM_H_
#include <dgl/array.h>
#include <dgl/bcast.h>
#include <dgl/runtime/parallel_for.h>
#include <algorithm>
#include <limits>
#include <memory>
#include "spmm_binary_ops.h"
#if !defined(_WIN32)
#ifdef USE_AVX
#include "intel/cpu_support.h"
#ifdef USE_LIBXSMM
#include "spmm_blocking_libxsmm.h"
#endif // USE_LIBXSMM
#endif // USE_AVX
#endif // _WIN32
namespace dgl {
namespace aten {
namespace cpu {
#if !defined(_WIN32)
#ifdef USE_AVX
/*!
* \brief CPU kernel of SpMM on Csr format using Xbyak.
* \param cpu_spec JIT'ed kernel
* \param bcast Broadcast information.
* \param csr The Csr matrix.
* \param X The feature on source nodes.
* \param W The feature on edges.
* \param O The result feature on destination nodes.
* \note it uses node parallel strategy, different threads are responsible
* for the computation of different nodes. For each edge, it uses the
* JIT'ed kernel.
*/
template <typename IdType, typename DType, typename Op>
void SpMMSumCsrXbyak(dgl::ElemWiseAddUpdate<Op>* cpu_spec, const BcastOff& bcast,
const CSRMatrix& csr, const DType* X, const DType* W, DType* O) {
const bool has_idx = !IsNullArray(csr.data);
const IdType* indptr = csr.indptr.Ptr<IdType>();
const IdType* indices = csr.indices.Ptr<IdType>();
const IdType* edges = csr.data.Ptr<IdType>();
int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len;
runtime::parallel_for(0, csr.num_rows, [&](size_t b, size_t e) {
for (auto rid = b; rid < e; ++rid) {
const IdType row_start = indptr[rid], row_end = indptr[rid + 1];
DType* out_off = O + rid * dim;
for (IdType j = row_start; j < row_end; ++j) {
const IdType cid = indices[j];
const IdType eid = has_idx ? edges[j] : j;
cpu_spec->run(out_off, X + cid * lhs_dim, W + eid * rhs_dim, dim);
}
}
});
}
#endif // USE_AVX
#endif // _WIN32
/*!
* \brief Naive CPU kernel of SpMM on Csr format.
* \param cpu_spec JIT'ed kernel
* \param bcast Broadcast information.
* \param csr The Csr matrix.
* \param X The feature on source nodes.
* \param W The feature on edges.
* \param O The result feature on destination nodes.
* \note it uses node parallel strategy, different threads are responsible
* for the computation of different nodes.
*/
template <typename IdType, typename DType, typename Op>
void SpMMSumCsrNaive(const BcastOff& bcast, const CSRMatrix& csr, const DType* X,
const DType* W, DType* O) {
const bool has_idx = !IsNullArray(csr.data);
const IdType* indptr = csr.indptr.Ptr<IdType>();
const IdType* indices = csr.indices.Ptr<IdType>();
const IdType* edges = csr.data.Ptr<IdType>();
int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len;
runtime::parallel_for(0, csr.num_rows, [&](size_t b, size_t e) {
for (auto rid = b; rid < e; ++rid) {
const IdType row_start = indptr[rid], row_end = indptr[rid + 1];
DType* out_off = O + rid * dim;
for (IdType j = row_start; j < row_end; ++j) {
const IdType cid = indices[j];
const IdType eid = has_idx ? edges[j] : j;
for (int64_t k = 0; k < dim; ++k) {
const int64_t lhs_add = bcast.use_bcast ? bcast.lhs_offset[k] : k;
const int64_t rhs_add = bcast.use_bcast ? bcast.rhs_offset[k] : k;
const DType* lhs_off =
Op::use_lhs ? X + cid * lhs_dim + lhs_add : nullptr;
const DType* rhs_off =
Op::use_rhs ? W + eid * rhs_dim + rhs_add : nullptr;
out_off[k] += Op::Call(lhs_off, rhs_off);
}
}
}
});
}
/*!
* \brief CPU kernel of SpMM on Csr format.
* \param bcast Broadcast information.
* \param csr The Csr matrix.
* \param ufeat The feature on source nodes.
* \param efeat The feature on edges.
* \param out The result feature on destination nodes.
* \note it uses node parallel strategy, different threads are responsible
* for the computation of different nodes.
*/
template <typename IdType, typename DType, typename Op>
void SpMMSumCsr(const BcastOff& bcast, const CSRMatrix& csr, NDArray ufeat,
NDArray efeat, NDArray out) {
const bool has_idx = !IsNullArray(csr.data);
const IdType* indptr = csr.indptr.Ptr<IdType>();
const IdType* indices = csr.indices.Ptr<IdType>();
const IdType* edges = csr.data.Ptr<IdType>();
const DType* X = ufeat.Ptr<DType>();
const DType* W = efeat.Ptr<DType>();
int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len;
DType* O = out.Ptr<DType>();
CHECK_NOTNULL(indptr);
CHECK_NOTNULL(O);
if (Op::use_lhs) {
CHECK_NOTNULL(indices);
CHECK_NOTNULL(X);
}
if (Op::use_rhs) {
if (has_idx)
CHECK_NOTNULL(edges);
CHECK_NOTNULL(W);
}
#if !defined(_WIN32)
#ifdef USE_AVX
#ifdef USE_LIBXSMM
const bool no_libxsmm =
bcast.use_bcast || std::is_same<DType, double>::value;
if (!no_libxsmm) {
SpMMSumCsrLibxsmm<IdType, DType, Op>(bcast, csr, ufeat, efeat, out);
} else {
#endif // USE_LIBXSMM
typedef dgl::ElemWiseAddUpdate<Op> ElemWiseUpd;
/* Prepare an assembler kernel */
static std::unique_ptr<ElemWiseUpd> asm_kernel_ptr(
(dgl::IntelKernel<>::IsEnabled()) ? new ElemWiseUpd() : nullptr);
/* Distribute the kernel among OMP threads */
ElemWiseUpd* cpu_spec = (asm_kernel_ptr && asm_kernel_ptr->applicable())
? asm_kernel_ptr.get()
: nullptr;
if (cpu_spec && dim > 16 && !bcast.use_bcast) {
SpMMSumCsrXbyak<IdType, DType, Op>(cpu_spec, bcast, csr, X, W, O);
} else {
#endif // USE_AVX
#endif // _WIN32
SpMMSumCsrNaive<IdType, DType, Op>(bcast, csr, X, W, O);
#if !defined(_WIN32)
#ifdef USE_AVX
}
#ifdef USE_LIBXSMM
}
#endif // USE_LIBXSMM
#endif // USE_AVX
#endif // _WIN32
}
/*!
* \brief CPU kernel of SpMM on Coo format.
* \param bcast Broadcast information.
* \param coo The Coo matrix.
* \param ufeat The feature on source nodes.
* \param efeat The feature on edges.
* \param out The result feature on destination nodes.
* \note it uses node parallel strategy, different threads are responsible
* for the computation of different nodes. To avoid possible data hazard,
* we use atomic operators in the reduction phase.
*/
template <typename IdType, typename DType, typename Op>
void SpMMSumCoo(const BcastOff& bcast, const COOMatrix& coo, NDArray ufeat,
NDArray efeat, NDArray out) {
const bool has_idx = !IsNullArray(coo.data);
const IdType* row = coo.row.Ptr<IdType>();
const IdType* col = coo.col.Ptr<IdType>();
const IdType* edges = coo.data.Ptr<IdType>();
const DType* X = ufeat.Ptr<DType>();
const DType* W = efeat.Ptr<DType>();
int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len;
DType* O = out.Ptr<DType>();
const int64_t nnz = coo.row->shape[0];
// fill zero elements
memset(O, 0, out.GetSize());
// spmm
#pragma omp parallel for
for (IdType i = 0; i < nnz; ++i) {
const IdType rid = row[i];
const IdType cid = col[i];
const IdType eid = has_idx ? edges[i] : i;
DType* out_off = O + cid * dim;
for (int64_t k = 0; k < dim; ++k) {
const int64_t lhs_add = bcast.use_bcast ? bcast.lhs_offset[k] : k;
const int64_t rhs_add = bcast.use_bcast ? bcast.rhs_offset[k] : k;
const DType* lhs_off =
Op::use_lhs ? X + rid * lhs_dim + lhs_add : nullptr;
const DType* rhs_off =
Op::use_rhs ? W + eid * rhs_dim + rhs_add : nullptr;
const DType val = Op::Call(lhs_off, rhs_off);
if (val != 0) {
#pragma omp atomic
out_off[k] += val;
}
}
}
}
/*!
* \brief CPU kernel of SpMM-Min/Max on Csr format.
* \param bcast Broadcast information.
* \param csr The Csr matrix.
* \param ufeat The feature on source nodes.
* \param efeat The feature on edges.
* \param out The result feature on destination nodes.
* \param argu Arg-Min/Max on source nodes, which refers the source node indices
* correspond to the minimum/maximum values of reduction result on
* destination nodes. It's useful in computing gradients of Min/Max
* reducer. \param arge Arg-Min/Max on edges. which refers the source node
* indices correspond to the minimum/maximum values of reduction result on
* destination nodes. It's useful in computing gradients of Min/Max
* reducer. \note It uses node parallel strategy, different threads are
* responsible for the computation of different nodes. \note The result will
* contain infinity for zero-degree nodes.
*/
template <typename IdType, typename DType, typename Op, typename Cmp>
void SpMMCmpCsr(const BcastOff& bcast, const CSRMatrix& csr, NDArray ufeat,
NDArray efeat, NDArray out, NDArray argu, NDArray arge) {
const bool has_idx = !IsNullArray(csr.data);
const IdType* indptr = static_cast<IdType*>(csr.indptr->data);
const IdType* indices = static_cast<IdType*>(csr.indices->data);
const IdType* edges =
has_idx ? static_cast<IdType*>(csr.data->data) : nullptr;
const DType* X = Op::use_lhs ? static_cast<DType*>(ufeat->data) : nullptr;
const DType* W = Op::use_rhs ? static_cast<DType*>(efeat->data) : nullptr;
const int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len,
rhs_dim = bcast.rhs_len;
DType* O = static_cast<DType*>(out->data);
IdType* argX = Op::use_lhs ? static_cast<IdType*>(argu->data) : nullptr;
IdType* argW = Op::use_rhs ? static_cast<IdType*>(arge->data) : nullptr;
CHECK_NOTNULL(indptr);
CHECK_NOTNULL(O);
if (Op::use_lhs) {
CHECK_NOTNULL(indices);
CHECK_NOTNULL(X);
CHECK_NOTNULL(argX);
}
if (Op::use_rhs) {
if (has_idx)
CHECK_NOTNULL(edges);
CHECK_NOTNULL(W);
CHECK_NOTNULL(argW);
}
#if !defined(_WIN32)
#ifdef USE_AVX
#ifdef USE_LIBXSMM
const bool no_libxsmm =
bcast.use_bcast || std::is_same<DType, double>::value;
if (!no_libxsmm) {
SpMMCmpCsrLibxsmm<IdType, DType, Op, Cmp>(bcast, csr, ufeat, efeat, out, argu, arge);
} else {
#endif // USE_LIBXSMM
#endif // USE_AVX
#endif // _WIN32
runtime::parallel_for(0, csr.num_rows, [&](size_t b, size_t e) {
for (auto rid = b; rid < e; ++rid) {
const IdType row_start = indptr[rid], row_end = indptr[rid + 1];
DType* out_off = O + rid * dim;
IdType* argx_off = argX + rid * dim;
IdType* argw_off = argW + rid * dim;
for (IdType j = row_start; j < row_end; ++j) {
const IdType cid = indices[j];
const IdType eid = has_idx ? edges[j] : j;
for (int64_t k = 0; k < dim; ++k) {
const int64_t lhs_add = bcast.use_bcast ? bcast.lhs_offset[k] : k;
const int64_t rhs_add = bcast.use_bcast ? bcast.rhs_offset[k] : k;
const DType* lhs_off =
Op::use_lhs ? X + cid * lhs_dim + lhs_add : nullptr;
const DType* rhs_off =
Op::use_rhs ? W + eid * rhs_dim + rhs_add : nullptr;
const DType val = Op::Call(lhs_off, rhs_off);
if (Cmp::Call(out_off[k], val)) {
out_off[k] = val;
if (Op::use_lhs) argx_off[k] = cid;
if (Op::use_rhs) argw_off[k] = eid;
}
}
}
}
});
#if !defined(_WIN32)
#ifdef USE_AVX
#ifdef USE_LIBXSMM
}
#endif // USE_LIBXSMM
#endif // USE_AVX
#endif // _WIN32
}
/*!
* \brief CPU kernel of SpMM-Min/Max on Csr format.
* \param bcast Broadcast information.
* \param csr The Csr matrix.
* \param ufeat The feature on source nodes.
* \param efeat The feature on edges.
* \param out The result feature on destination nodes.
* \param argu Arg-Min/Max on source nodes, which refers the source node indices
* correspond to the minimum/maximum values of reduction result on
* destination nodes. It's useful in computing gradients of Min/Max
* reducer. \param arge Arg-Min/Max on edges. which refers the source node
* indices correspond to the minimum/maximum values of reduction result on
* destination nodes. It's useful in computing gradients of Min/Max
* reducer. \note It uses node parallel strategy, different threads are
* responsible for the computation of different nodes. \note The result will
* contain infinity for zero-degree nodes.
*/
template <typename IdType, typename DType, typename Op, typename Cmp>
void SpMMCmpCsrHetero(const BcastOff& bcast, const CSRMatrix& csr, NDArray ufeat,
NDArray efeat, NDArray out, NDArray argu, NDArray arge,
NDArray argu_ntype, NDArray arge_etype,
const int ntype, const int etype) {
const bool has_idx = !IsNullArray(csr.data);
const IdType* indptr = static_cast<IdType*>(csr.indptr->data);
const IdType* indices = static_cast<IdType*>(csr.indices->data);
const IdType* edges =
has_idx ? static_cast<IdType*>(csr.data->data) : nullptr;
const DType* X = Op::use_lhs ? static_cast<DType*>(ufeat->data) : nullptr;
const DType* W = Op::use_rhs ? static_cast<DType*>(efeat->data) : nullptr;
const int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len,
rhs_dim = bcast.rhs_len;
DType* O = static_cast<DType*>(out->data);
IdType* argX = Op::use_lhs ? static_cast<IdType*>(argu->data) : nullptr;
IdType* argW = Op::use_rhs ? static_cast<IdType*>(arge->data) : nullptr;
IdType* argX_ntype = Op::use_lhs ? static_cast<IdType*>(argu_ntype->data) : nullptr;
IdType* argW_etype = Op::use_rhs ? static_cast<IdType*>(arge_etype->data) : nullptr;
CHECK_NOTNULL(indptr);
CHECK_NOTNULL(O);
if (Op::use_lhs) {
CHECK_NOTNULL(indices);
CHECK_NOTNULL(X);
CHECK_NOTNULL(argX);
}
if (Op::use_rhs) {
if (has_idx)
CHECK_NOTNULL(edges);
CHECK_NOTNULL(W);
CHECK_NOTNULL(argW);
}
// TODO(Israt): Use LIBXSMM. Homogeneous graph uses LIBXMM when enabled.
runtime::parallel_for(0, csr.num_rows, [&](size_t b, size_t e) {
for (auto rid = b; rid < e; ++rid) {
const IdType row_start = indptr[rid], row_end = indptr[rid + 1];
DType* out_off = O + rid * dim;
IdType* argx_off = argX + rid * dim;
IdType* argw_off = argW + rid * dim;
IdType* argx_ntype = argX_ntype + rid * dim;
IdType* argw_etype = argW_etype + rid * dim;
for (IdType j = row_start; j < row_end; ++j) {
const IdType cid = indices[j];
const IdType eid = has_idx ? edges[j] : j;
for (int64_t k = 0; k < dim; ++k) {
const int64_t lhs_add = bcast.use_bcast ? bcast.lhs_offset[k] : k;
const int64_t rhs_add = bcast.use_bcast ? bcast.rhs_offset[k] : k;
const DType* lhs_off =
Op::use_lhs ? X + cid * lhs_dim + lhs_add : nullptr;
const DType* rhs_off =
Op::use_rhs ? W + eid * rhs_dim + rhs_add : nullptr;
const DType val = Op::Call(lhs_off, rhs_off);
if (Cmp::Call(out_off[k], val)) {
out_off[k] = val;
if (Op::use_lhs) {
argx_off[k] = cid;
argx_ntype[k] = ntype;
}
if (Op::use_rhs) {
argw_off[k] = eid;
argw_etype[k] = etype;
}
}
}
}
}
});
}
/*!
* \brief CPU kernel of SpMM-Min/Max on Coo format.
* \param bcast Broadcast information.
* \param coo The Coo matrix.
* \param ufeat The feature on source nodes.
* \param efeat The feature on edges.
* \param out The result feature on destination nodes.
* \param argu Arg-Min/Max on source nodes, which refers the source node indices
* correspond to the minimum/maximum values of reduction result on
* destination nodes. It's useful in computing gradients of Min/Max
* reducer. \param arge Arg-Min/Max on edges. which refers the source node
* indices correspond to the minimum/maximum values of reduction result on
* destination nodes. It's useful in computing gradients of Min/Max
* reducer. \note it uses node parallel strategy, different threads are
* responsible for the computation of different nodes. To avoid possible data
* hazard, we use atomic operators in the reduction phase. \note The result will
* contain infinity for zero-degree nodes.
*/
template <typename IdType, typename DType, typename Op, typename Cmp>
void SpMMCmpCoo(const BcastOff& bcast, const COOMatrix& coo, NDArray ufeat,
NDArray efeat, NDArray out, NDArray argu, NDArray arge) {
const bool has_idx = !IsNullArray(coo.data);
const IdType* row = static_cast<IdType*>(coo.row->data);
const IdType* col = static_cast<IdType*>(coo.col->data);
const IdType* edges =
has_idx ? static_cast<IdType*>(coo.data->data) : nullptr;
const DType* X = Op::use_lhs ? static_cast<DType*>(ufeat->data) : nullptr;
const DType* W = Op::use_rhs ? static_cast<DType*>(efeat->data) : nullptr;
const int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len,
rhs_dim = bcast.rhs_len;
DType* O = static_cast<DType*>(out->data);
IdType* argX = Op::use_lhs ? static_cast<IdType*>(argu->data) : nullptr;
IdType* argW = Op::use_rhs ? static_cast<IdType*>(arge->data) : nullptr;
const int64_t nnz = coo.row->shape[0];
// fill zero elements
std::fill(O, O + out.NumElements(), Cmp::zero);
// spmm
#pragma omp parallel for
for (IdType i = 0; i < nnz; ++i) {
const IdType rid = row[i];
const IdType cid = col[i];
const IdType eid = has_idx ? edges[i] : i;
DType* out_off = O + cid * dim;
IdType* argx_off = Op::use_lhs ? argX + cid * dim : nullptr;
IdType* argw_off = Op::use_rhs ? argW + cid * dim : nullptr;
for (int64_t k = 0; k < dim; ++k) {
const int64_t lhs_add = bcast.use_bcast ? bcast.lhs_offset[k] : k;
const int64_t rhs_add = bcast.use_bcast ? bcast.rhs_offset[k] : k;
const DType* lhs_off =
Op::use_lhs ? X + rid * lhs_dim + lhs_add : nullptr;
const DType* rhs_off =
Op::use_rhs ? W + eid * rhs_dim + rhs_add : nullptr;
const DType val = Op::Call(lhs_off, rhs_off);
#pragma omp critical
if (Cmp::Call(out_off[k], val)) {
out_off[k] = val;
if (Op::use_lhs) argx_off[k] = rid;
if (Op::use_rhs) argw_off[k] = eid;
}
}
}
}
} // namespace cpu
} // namespace aten
} // namespace dgl
#endif // DGL_ARRAY_CPU_SPMM_H_
|
GB_unop__asinh_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__asinh_fp64_fp64
// op(A') function: GB_unop_tran__asinh_fp64_fp64
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = asinh (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = asinh (x) ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = asinh (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ASINH || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__asinh_fp64_fp64
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = asinh (z) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__asinh_fp64_fp64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
test_model.c | /*****************************************************************************
*
* test_model.c
*
* Unit test for the currently compiled model (D3Q15 or D3Q19).
*
* Edinburgh Soft Matter and Statistical Physics Group
* Edinburgh Parallel Computing Centre
*
* (c) 2010-2021 The University of Edinburgh
*
* Contributing authors:
* Kevin Stratford (kevin@epcc.ed.ac.uk)
*
*****************************************************************************/
#include <assert.h>
#include <float.h>
#include <math.h>
#include <stdlib.h>
#include "pe.h"
#include "coords.h"
#include "util.h"
#include "cs_limits.h"
#include "lb_model_s.h"
#include "tests.h"
static void test_model_constants(void);
static void test_model_velocity_set(void);
int do_test_model_distributions(pe_t * pe, cs_t * cs);
int do_test_model_halo_swap(pe_t * pe, cs_t * cs);
int do_test_model_reduced_halo_swap(pe_t * pe, cs_t * cs);
int do_test_lb_model_io(pe_t * pe, cs_t * cs);
static int test_model_is_domain(cs_t * cs, int ic, int jc, int kc);
typedef struct lb_data_options_s {
int ndim;
int nvel;
int ndist;
} lb_data_options_t;
/* Utility to return a unique value for global (ic,jc,kc,p) */
/* This allows e.g., tests to check distribution values in parallel
* exchanges. */
/* (ic, jc, kc) are local indices */
/* Result could be unsigned integer... */
#include <stdint.h>
int64_t lb_data_index(lb_t * lb, int ic, int jc, int kc, int p) {
int64_t index = INT64_MIN;
int64_t nall[3] = {};
int64_t nstr[3] = {};
int64_t pstr = 0;
int ntotal[3] = {};
int offset[3] = {};
int nhalo = 0;
assert(lb);
assert(0 <= p && p < lb->model.nvel);
cs_ntotal(lb->cs, ntotal);
cs_nlocal_offset(lb->cs, offset);
cs_nhalo(lb->cs, &nhalo);
nall[X] = ntotal[X] + 2*nhalo;
nall[Y] = ntotal[Y] + 2*nhalo;
nall[Z] = ntotal[Z] + 2*nhalo;
nstr[Z] = 1;
nstr[Y] = nstr[Z]*nall[Z];
nstr[X] = nstr[Y]*nall[Y];
pstr = nstr[X]*nall[X];
{
int igl = offset[X] + ic;
int jgl = offset[Y] + jc;
int kgl = offset[Z] + kc;
/* A periodic system */
igl = igl % ntotal[X];
jgl = jgl % ntotal[Y];
kgl = kgl % ntotal[Z];
if (igl < 1) igl = igl + ntotal[X];
if (jgl < 1) jgl = jgl + ntotal[Y];
if (kgl < 1) kgl = kgl + ntotal[Z];
assert(1 <= igl && igl <= ntotal[X]);
assert(1 <= jgl && jgl <= ntotal[Y]);
assert(1 <= kgl && kgl <= ntotal[Z]);
index = pstr*p + nstr[X]*igl + nstr[Y]*jgl + nstr[Z]*kgl;
}
return index;
}
int lb_data_create(pe_t * pe, cs_t * cs, const lb_data_options_t * options,
lb_t ** lb);
int lb_data_create(pe_t * pe, cs_t * cs, const lb_data_options_t * options,
lb_t ** lb) {
lb_t * obj = NULL;
assert(pe);
assert(cs);
assert(options);
assert(lb);
obj = (lb_t *) calloc(1, sizeof(lb_t));
assert(obj);
if (obj == NULL) pe_fatal(pe, "calloc(1, lb_t) failed\n");
/* Check options */
obj->pe = pe;
obj->cs = cs;
obj->ndim = options->ndim;
obj->nvel = options->nvel;
obj->ndist = options->ndist;
lb_model_create(obj->nvel, &obj->model);
/* Storage */
{
/* Allocate storage following cs specification */
int nhalo = 1;
int nlocal[3] = {};
cs_nhalo(cs, &nhalo);
cs_nlocal(cs, nlocal);
{
int nx = nlocal[X] + 2*nhalo;
int ny = nlocal[Y] + 2*nhalo;
int nz = nlocal[Z] + 2*nhalo;
obj->nsite = nx*ny*nz;
}
{
size_t sz = sizeof(double)*obj->nsite*obj->nvel;
assert(sz > 0); /* Should not overflow in size_t I hope! */
obj->f = (double *) mem_aligned_malloc(MEM_PAGESIZE, sz);
assert(obj->f);
if (obj->f == NULL) pe_fatal(pe, "malloc(lb->f) failed\n");
}
}
*lb = obj;
return 0;
}
int lb_data_free(lb_t * lb) {
assert(lb);
free(lb->f);
lb_model_free(&lb->model);
free(lb);
return 0;
}
/* We will not exceed 27 directions! Direction index 0, in keeping
* with the LB model definition, is (0,0,0) - so no communication. */
typedef struct lb_halo_s {
MPI_Comm comm; /* coords: Cartesian communicator */
int nbrrank[3][3][3]; /* coords: neighbour rank look-up */
int nlocal[3]; /* coords: local domain size */
lb_model_t map; /* Communication map 2d or 3d */
int tagbase; /* send/recv tag */
int full; /* All velocities at each site required. */
int count[27]; /* halo: item data count per direction */
cs_limits_t slim[27]; /* halo: send data region (rectangular) */
cs_limits_t rlim[27]; /* halo: recv data region (rectangular) */
double * send[27]; /* halo: send buffer per direction */
double * recv[27]; /* halo: recv buffer per direction */
MPI_Request request[2*27]; /* halo: array of requests */
} lb_halo_t;
/*****************************************************************************
*
* lb_halo_size
*
* Utility to compute a number of sites from cs_limits_t.
*
*****************************************************************************/
int cs_limits_size(cs_limits_t lim) {
int szx = 1 + lim.imax - lim.imin;
int szy = 1 + lim.jmax - lim.jmin;
int szz = 1 + lim.kmax - lim.kmin;
return szx*szy*szz;
}
/*****************************************************************************
*
* lb_halo_enqueue_send
*
* Pack the send buffer. The ireq determines the direction of the
* communication.
*
*****************************************************************************/
int lb_halo_enqueue_send(const lb_t * lb, const lb_halo_t * h, int ireq) {
assert(1 <= ireq && ireq < h->map.nvel);
assert(lb->ndist == 1);
if (h->count[ireq] > 0) {
int8_t mx = h->map.cv[ireq][X];
int8_t my = h->map.cv[ireq][Y];
int8_t mz = h->map.cv[ireq][Z];
int8_t mm = mx*mx + my*my + mz*mz;
int ib = 0; /* Buffer index */
assert(mm == 1 || mm == 2 || mm == 3);
for (int ic = h->slim[ireq].imin; ic <= h->slim[ireq].imax; ic++) {
for (int jc = h->slim[ireq].jmin; jc <= h->slim[ireq].jmax; jc++) {
for (int kc = h->slim[ireq].kmin; kc <= h->slim[ireq].kmax; kc++) {
/* If full, we need p = 0 */
for (int p = 0; p < lb->nvel; p++) {
int8_t px = lb->model.cv[p][X];
int8_t py = lb->model.cv[p][Y];
int8_t pz = lb->model.cv[p][Z];
int dot = mx*px + my*py + mz*pz;
if (h->full || dot == mm) {
int index = cs_index(lb->cs, ic, jc, kc);
int laddr = LB_ADDR(lb->nsite, lb->ndist, lb->nvel, index, 0, p);
h->send[ireq][ib++] = lb->f[laddr];
}
}
}
}
}
assert(ib == h->count[ireq]*cs_limits_size(h->slim[ireq]));
}
return 0;
}
/*****************************************************************************
*
* lb_halo_dequeue_recv
*
* Unpack the recv buffer into place in the distributions.
*
*****************************************************************************/
int lb_halo_dequeue_recv(lb_t * lb, const lb_halo_t * h, int ireq) {
assert(lb);
assert(h);
assert(0 < ireq && ireq < h->map.nvel);
assert(lb->ndist == 1);
if (h->count[ireq] > 0) {
/* The communication direction is reversed cf. the send... */
int8_t mx = h->map.cv[h->map.nvel-ireq][X];
int8_t my = h->map.cv[h->map.nvel-ireq][Y];
int8_t mz = h->map.cv[h->map.nvel-ireq][Z];
int8_t mm = mx*mx + my*my + mz*mz;
int ib = 0; /* Buffer index */
double * recv = h->recv[ireq];
{
int i = 1 + mx;
int j = 1 + my;
int k = 1 + mz;
/* If Cartesian neighbour is self, just copy out of send buffer. */
if (h->nbrrank[i][j][k] == h->nbrrank[1][1][1]) recv = h->send[ireq];
}
assert(mm == 1 || mm == 2 || mm == 3);
for (int ic = h->rlim[ireq].imin; ic <= h->rlim[ireq].imax; ic++) {
for (int jc = h->rlim[ireq].jmin; jc <= h->rlim[ireq].jmax; jc++) {
for (int kc = h->rlim[ireq].kmin; kc <= h->rlim[ireq].kmax; kc++) {
for (int p = 0; p < lb->nvel; p++) {
/* For reduced swap, we must have -cv[p] here... */
int8_t px = lb->model.cv[lb->nvel-p][X];
int8_t py = lb->model.cv[lb->nvel-p][Y];
int8_t pz = lb->model.cv[lb->nvel-p][Z];
int dot = mx*px + my*py + mz*pz;
if (h->full || dot == mm) {
int index = cs_index(lb->cs, ic, jc, kc);
int laddr = LB_ADDR(lb->nsite, lb->ndist, lb->nvel, index, 0, p);
lb->f[laddr] = recv[ib++];
}
}
}
}
}
assert(ib == h->count[ireq]*cs_limits_size(h->rlim[ireq]));
}
return 0;
}
/*****************************************************************************
*
* lb_halo_create
*
* Currently: generate all send and receive requests.
*
*****************************************************************************/
int lb_halo_create(const lb_t * lb, lb_halo_t * h, int full) {
lb_halo_t hnull = {};
assert(lb);
assert(h);
*h = hnull;
/* Communication model */
if (lb->model.ndim == 2) lb_model_create( 9, &h->map);
if (lb->model.ndim == 3) lb_model_create(27, &h->map);
assert(h->map.ndim == lb->model.ndim);
cs_nlocal(lb->cs, h->nlocal);
cs_cart_comm(lb->cs, &h->comm);
h->tagbase = 211216;
h->full = full;
/* Determine look-up table of ranks of neighbouring processes */
{
int dims[3] = {};
int periods[3] = {};
int coords[3] = {};
MPI_Cart_get(h->comm, h->map.ndim, dims, periods, coords);
for (int p = 0; p < h->map.nvel; p++) {
int nbr[3] = {};
int out[3] = {}; /* Out-of-range is erroneous for non-perioidic dims */
int i = 1 + h->map.cv[p][X];
int j = 1 + h->map.cv[p][Y];
int k = 1 + h->map.cv[p][Z];
nbr[X] = coords[X] + h->map.cv[p][X];
nbr[Y] = coords[Y] + h->map.cv[p][Y];
nbr[Z] = coords[Z] + h->map.cv[p][Z];
out[X] = (!periods[X] && (nbr[X] < 0 || nbr[X] > dims[X]));
out[Y] = (!periods[Y] && (nbr[Y] < 0 || nbr[Y] > dims[Y]));
out[Z] = (!periods[Z] && (nbr[Z] < 0 || nbr[Z] > dims[Z]));
if (out[X] || out[Y] || out[Z]) {
h->nbrrank[i][j][k] = MPI_PROC_NULL;
}
else {
MPI_Cart_rank(h->comm, nbr, &h->nbrrank[i][j][k]);
}
}
/* I must be in the middle */
assert(h->nbrrank[1][1][1] == cs_cart_rank(lb->cs));
}
/* Limits of the halo regions in each communication direction */
for (int p = 1; p < h->map.nvel; p++) {
/* Limits for send and recv regions*/
int8_t cx = h->map.cv[p][X];
int8_t cy = h->map.cv[p][Y];
int8_t cz = h->map.cv[p][Z];
cs_limits_t send = {1, h->nlocal[X], 1, h->nlocal[Y], 1, h->nlocal[Z]};
cs_limits_t recv = {1, h->nlocal[X], 1, h->nlocal[Y], 1, h->nlocal[Z]};
if (cx == -1) send.imax = 1;
if (cx == +1) send.imin = send.imax;
if (cy == -1) send.jmax = 1;
if (cy == +1) send.jmin = send.jmax;
if (cz == -1) send.kmax = 1;
if (cz == +1) send.kmin = send.kmax;
/* velocity is reversed... */
if (cx == +1) recv.imax = recv.imin = 0;
if (cx == -1) recv.imin = recv.imax = recv.imax + 1;
if (cy == +1) recv.jmax = recv.jmin = 0;
if (cy == -1) recv.jmin = recv.jmax = recv.jmax + 1;
if (cz == +1) recv.kmax = recv.kmin = 0;
if (cz == -1) recv.kmin = recv.kmax = recv.kmax + 1;
h->slim[p] = send;
h->rlim[p] = recv;
}
/* Message count (velocities) for each communication direction */
for (int p = 1; p < h->map.nvel; p++) {
int count = 0;
if (h->full) {
count = lb->model.nvel;
}
else {
int8_t mx = h->map.cv[p][X];
int8_t my = h->map.cv[p][Y];
int8_t mz = h->map.cv[p][Z];
int8_t mm = mx*mx + my*my + mz*mz;
/* Consider each model velocity in turn */
for (int q = 1; q < lb->model.nvel; q++) {
int8_t qx = lb->model.cv[q][X];
int8_t qy = lb->model.cv[q][Y];
int8_t qz = lb->model.cv[q][Z];
int8_t dot = mx*qx + my*qy + mz*qz;
if (mm == 3 && dot == mm) count +=1; /* This is a corner */
if (mm == 2 && dot == mm) count +=1; /* This is an edge */
if (mm == 1 && dot == mm) count +=1; /* This is a side */
}
}
h->count[p] = count;
/* Allocate send buffer for send region */
if (count > 0) {
int scount = count*cs_limits_size(h->slim[p]);
h->send[p] = (double *) malloc(scount*sizeof(double));
assert(h->send[p]);
}
/* Allocate recv buffer */
if (count > 0) {
int rcount = count*cs_limits_size(h->rlim[p]);
h->recv[p] = (double *) malloc(rcount*sizeof(double));
assert(h->recv[p]);
}
}
/* Post recvs (from opposite direction cf send) */
for (int ireq = 0; ireq < h->map.nvel; ireq++) {
h->request[ireq] = MPI_REQUEST_NULL;
if (h->count[ireq] > 0) {
int i = 1 + h->map.cv[h->map.nvel-ireq][X];
int j = 1 + h->map.cv[h->map.nvel-ireq][Y];
int k = 1 + h->map.cv[h->map.nvel-ireq][Z];
int mcount = h->count[ireq]*cs_limits_size(h->rlim[ireq]);
if (h->nbrrank[i][j][k] == h->nbrrank[1][1][1]) mcount = 0;
MPI_Irecv(h->recv[ireq], mcount, MPI_DOUBLE, h->nbrrank[i][j][k],
h->tagbase + ireq, h->comm, h->request + ireq);
}
}
/* Enqueue sends (upper half of request array) */
#pragma omp parallel for schedule(dynamic, 1)
for (int ireq = 0; ireq < h->map.nvel; ireq++) {
h->request[27+ireq] = MPI_REQUEST_NULL;
if (h->count[ireq] > 0) {
int i = 1 + h->map.cv[ireq][X];
int j = 1 + h->map.cv[ireq][Y];
int k = 1 + h->map.cv[ireq][Z];
int mcount = h->count[ireq]*cs_limits_size(h->slim[ireq]);
lb_halo_enqueue_send(lb, h, ireq);
/* Short circuit messages to self. */
if (h->nbrrank[i][j][k] == h->nbrrank[1][1][1]) mcount = 0;
#pragma omp critical
{
MPI_Isend(h->send[ireq], mcount, MPI_DOUBLE, h->nbrrank[i][j][k],
h->tagbase + ireq, h->comm, h->request + 27 + ireq);
}
}
}
return 0;
}
/*****************************************************************************
*
* lb_halo_free
*
* Complete all the send and receive requests.
*
*****************************************************************************/
int lb_halo_free(lb_t * lb, lb_halo_t * h) {
assert(lb);
assert(h);
/* Can free() be used with thread safety? */
#pragma omp parallel for schedule(dynamic, 1)
for (int ireq = 0; ireq < 2*h->map.nvel; ireq++) {
int issatisfied = -1;
MPI_Status status = {};
#pragma omp critical
{
MPI_Waitany(2*h->map.nvel, h->request, &issatisfied, &status);
}
/* Check status is what we expect? */
if (issatisfied == MPI_UNDEFINED) {
/* No action e.g., for (0,0,0) case */
}
else {
/* Handle either send or recv request completion */
if (issatisfied < h->map.nvel) {
/* This is a recv */
int irreq = issatisfied;
lb_halo_dequeue_recv(lb, h, irreq);
free(h->recv[irreq]);
}
else {
/* This was a send */
int isreq = issatisfied - 27;
free(h->send[isreq]);
}
}
}
return 0;
}
/*****************************************************************************
*
* util_lb_data_check_set
*
* Set unique test values in the distribution.
*
*****************************************************************************/
int util_lb_data_check_set(lb_t * lb) {
int nlocal[3] = {};
assert(lb);
cs_nlocal(lb->cs, nlocal);
for (int ic = 1; ic <= nlocal[X]; ic++) {
for (int jc = 1; jc <= nlocal[Y]; jc++) {
for (int kc = 1; kc <= nlocal[Z]; kc++) {
for (int p = 0 ; p < lb->model.nvel; p++) {
int index = cs_index(lb->cs, ic, jc, kc);
int laddr = LB_ADDR(lb->nsite, lb->ndist, lb->nvel, index, 0, p);
lb->f[laddr] = 1.0*lb_data_index(lb, ic, jc, kc, p);
}
}
}
}
return 0;
}
/*****************************************************************************
*
* util_lb_data_check
*
* Examine halo values and check they are as expected.
*
*****************************************************************************/
int util_lb_data_check(lb_t * lb, int full) {
int ifail = 0;
int nh = 1;
int nhk = nh;
int nlocal[3] = {};
assert(lb);
cs_nlocal(lb->cs, nlocal);
/* Fix for 2d, where there should be no halo regions in Z */
if (lb->ndim == 2) nhk = 0;
for (int ic = 1 - nh; ic <= nlocal[X] + nh; ic++) {
for (int jc = 1 - nh; jc <= nlocal[Y] + nh; jc++) {
for (int kc = 1 - nhk; kc <= nlocal[Z] + nhk; kc++) {
int is_halo = (ic < 1 || jc < 1 || kc < 1 ||
ic > nlocal[X] || jc > nlocal[Y] || kc > nlocal[Z]);
if (is_halo == 0) continue;
int index = cs_index(lb->cs, ic, jc, kc);
for (int p = 0; p < lb->model.nvel; p++) {
/* Look for propagating distributions (into domain). */
int icdt = ic + lb->model.cv[p][X];
int jcdt = jc + lb->model.cv[p][Y];
int kcdt = kc + lb->model.cv[p][Z];
is_halo = (icdt < 1 || jcdt < 1 || kcdt < 1 ||
icdt > nlocal[X] || jcdt > nlocal[Y] || kcdt > nlocal[Z]);
if (full || is_halo == 0) {
/* Check */
int laddr = LB_ADDR(lb->nsite, lb->ndist, lb->nvel, index, 0, p);
double fex = 1.0*lb_data_index(lb, ic, jc, kc, p);
if (fabs(fex - lb->f[laddr]) > DBL_EPSILON) ifail += 1;
assert(fabs(fex - lb->f[laddr]) < DBL_EPSILON);
}
}
}
}
}
return ifail;
}
/*****************************************************************************
*
* test_lb_halo_create
*
*****************************************************************************/
int test_lb_halo_create(pe_t * pe, cs_t * cs, int ndim, int nvel, int full) {
lb_data_options_t options = {.ndim = ndim, .nvel = nvel, .ndist = 1};
lb_t * lb = NULL;
assert(pe);
assert(cs);
lb_data_create(pe, cs, &options, &lb);
util_lb_data_check_set(lb);
{
lb_halo_t h = {};
lb_halo_create(lb, &h, full);
lb_halo_free(lb, &h);
}
util_lb_data_check(lb, full);
lb_data_free(lb);
return 0;
}
/*****************************************************************************
*
* test_lb_halo
*
*****************************************************************************/
int test_lb_halo(pe_t * pe) {
assert(pe);
/* Two dimensional system */
{
cs_t * cs = NULL;
int ntotal[3] = {64, 64, 1};
cs_create(pe, &cs);
cs_ntotal_set(cs, ntotal);
cs_init(cs);
test_lb_halo_create(pe, cs, 2, 9, 0);
test_lb_halo_create(pe, cs, 2, 9, 1);
cs_free(cs);
}
/* Three dimensional system */
{
cs_t * cs = NULL;
cs_create(pe, &cs);
cs_init(cs);
test_lb_halo_create(pe, cs, 3, 15, 0);
test_lb_halo_create(pe, cs, 3, 15, 1);
test_lb_halo_create(pe, cs, 3, 19, 0);
test_lb_halo_create(pe, cs, 3, 19, 1);
test_lb_halo_create(pe, cs, 3, 27, 0);
test_lb_halo_create(pe, cs, 3, 27, 1);
cs_free(cs);
}
return 0;
}
/*****************************************************************************
*
* test_model_suite
*
*****************************************************************************/
int test_model_suite(void) {
pe_t * pe = NULL;
cs_t * cs = NULL;
pe_create(MPI_COMM_WORLD, PE_QUIET, &pe);
test_lb_halo(pe);
cs_create(pe, &cs);
cs_init(cs);
/* Test model structure (coordinate-independent stuff) */
test_model_constants();
test_model_velocity_set();
/* Now test actual distributions */
do_test_model_distributions(pe, cs);
do_test_model_halo_swap(pe, cs);
if (DATA_MODEL == DATA_MODEL_AOS && NSIMDVL == 1) {
do_test_model_reduced_halo_swap(pe, cs);
}
do_test_lb_model_io(pe, cs);
pe_info(pe, "PASS ./unit/test_model\n");
cs_free(cs);
pe_free(pe);
return 0;
}
/*****************************************************************************
*
* test_model_constants
*
* Check the various constants associated with the reduced halo swap.
*
*****************************************************************************/
static void test_model_constants(void) {
#ifdef TEST_TO_BE_REMOVED_WITH_GLOBAL_SYMBOLS
int i, k, p;
for (i = 0; i < CVXBLOCK; i++) {
for (k = 0; k < xblocklen_cv[i]; k++) {
p = xdisp_fwd_cv[i] + k;
test_assert(p >= 0 && p < NVEL);
test_assert(cv[p][X] == +1);
p = xdisp_bwd_cv[i] + k;
test_assert(p >= 0 && p < NVEL);
test_assert(cv[p][X] == -1);
}
}
for (i = 0; i < CVYBLOCK; i++) {
for (k = 0; k < yblocklen_cv[i]; k++) {
p = ydisp_fwd_cv[i] + k;
test_assert(p >= 0 && p < NVEL);
test_assert(cv[p][Y] == +1);
p = ydisp_bwd_cv[i] + k;
test_assert(p >= 0 && p < NVEL);
test_assert(cv[p][Y] == -1);
}
}
for (i = 0; i < CVZBLOCK; i++) {
for (k = 0; k < zblocklen_cv[i]; k++) {
p = zdisp_fwd_cv[i] + k;
test_assert(p >= 0 && p < NVEL);
test_assert(cv[p][Z] == +1);
p = zdisp_bwd_cv[i] + k;
test_assert(p >= 0 && p < NVEL);
test_assert(cv[p][Z] == -1);
}
}
#endif
return;
}
/*****************************************************************************
*
* test_model_velocity_set
*
* Check the velocities, kinetic projector, tables of eigenvectors
* etc etc are all consistent for the current model.
*
*****************************************************************************/
static void test_model_velocity_set(void) {
test_assert(NHYDRO == (1 + NDIM + NDIM*(NDIM+1)/2));
return;
}
/*****************************************************************************
*
* do_test_model_distributions
*
* Test the distribution interface.
*
*****************************************************************************/
int do_test_model_distributions(pe_t * pe, cs_t * cs) {
int i, n, p;
int index = 1;
int ndist = 2;
double fvalue, fvalue_expected;
double u[3];
lb_t * lb;
assert(pe);
assert(cs);
/* Tests of the basic distribution functions. */
lb_create(pe, cs, &lb);
assert(lb);
lb_ndist(lb, &n);
assert(n == 1); /* Default */
lb_ndist_set(lb, ndist);
lb_init(lb);
/* Report the number of distributions */
lb_ndist(lb, &n);
assert(n == ndist);
for (n = 0; n < ndist; n++) {
for (p = 0; p < lb->model.nvel; p++) {
fvalue_expected = 0.01*n + lb->model.wv[p];
lb_f_set(lb, index, p, n, fvalue_expected);
lb_f(lb, index, p, n, &fvalue);
assert(fabs(fvalue - fvalue_expected) < DBL_EPSILON);
}
/* Check zeroth moment... */
fvalue_expected = 0.01*n*lb->model.nvel + 1.0;
lb_0th_moment(lb, index, (lb_dist_enum_t) n, &fvalue);
assert(fabs(fvalue - fvalue_expected) <= DBL_EPSILON);
/* Check first moment... */
lb_1st_moment(lb, index, (n == 0) ? LB_RHO : LB_PHI, u);
for (i = 0; i < lb->model.ndim; i++) {
assert(fabs(u[i] - 0.0) < DBL_EPSILON);
}
}
lb_free(lb);
return 0;
}
/*****************************************************************************
*
* do_test_model_halo_swap
*
* Test full halo swap.
*
*****************************************************************************/
int do_test_model_halo_swap(pe_t * pe, cs_t * cs) {
int i, j, k, p;
int n, ndist = 2;
int index, nlocal[3];
const int nextra = 1; /* Distribution halo width always 1 */
double f_expect;
double f_actual;
lb_t * lb = NULL;
assert(pe);
assert(cs);
lb_create(pe, cs, &lb);
assert(lb);
lb_ndist_set(lb, ndist);
lb_init(lb);
cs_nlocal(cs, nlocal);
/* The test relies on a uniform decomposition in parallel:
*
* f[0] or f[X] is set to local x index,
* f[1] or f[Y] is set to local y index
* f[2] or f[Z] is set to local z index
* remainder are set to velocity index. */
for (i = 1; i <= nlocal[X]; i++) {
for (j = 1; j <= nlocal[Y]; j++) {
for (k = 1; k <= nlocal[Z]; k++) {
index = cs_index(cs, i, j, k);
for (n = 0; n < ndist; n++) {
lb_f_set(lb, index, X, n, (double) (i));
lb_f_set(lb, index, Y, n, (double) (j));
lb_f_set(lb, index, Z, n, (double) (k));
for (p = 3; p < lb->model.nvel; p++) {
lb_f_set(lb, index, p, n, (double) p);
}
}
}
}
}
lb_memcpy(lb, tdpMemcpyHostToDevice);
lb_halo(lb);
lb_memcpy(lb, tdpMemcpyDeviceToHost);
/* Test all the sites not in the interior */
for (i = 1 - nextra; i <= nlocal[X] + nextra; i++) {
if (i >= 1 && i <= nlocal[X]) continue;
for (j = 1 - nextra; j <= nlocal[Y] + nextra; j++) {
if (j >= 1 && j <= nlocal[Y]) continue;
for (k = 1 - nextra; k <= nlocal[Z] + nextra; k++) {
if (k >= 1 && k <= nlocal[Z]) continue;
index = cs_index(cs, i, j, k);
for (n = 0; n < ndist; n++) {
f_expect = 1.0*abs(i - nlocal[X]);
lb_f(lb, index, X, n, &f_actual);
test_assert(fabs(f_actual - f_expect) < DBL_EPSILON);
f_expect = 1.0*abs(j - nlocal[Y]);
lb_f(lb, index, Y, n, &f_actual);
test_assert(fabs(f_actual - f_expect) < DBL_EPSILON);
f_expect = 1.0*abs(k - nlocal[Z]);
lb_f(lb, index, Z, n, &f_actual);
test_assert(fabs(f_actual - f_expect) < DBL_EPSILON);
for (p = 3; p < lb->model.nvel; p++) {
lb_f(lb, index, p, n, &f_actual);
f_expect = (double) p;
test_assert(fabs(f_actual - f_expect) < DBL_EPSILON);
}
}
}
}
}
lb_free(lb);
return 0;
}
/*****************************************************************************
*
* do_test_model_reduced_halo_swap
*
*****************************************************************************/
int do_test_model_reduced_halo_swap(pe_t * pe, cs_t * cs) {
int i, j, k, p;
int icdt, jcdt, kcdt;
int index, nlocal[3];
int n, ndist = 2;
const int nextra = 1;
double f_expect;
double f_actual;
lb_t * lb = NULL;
assert(pe);
assert(cs);
lb_create(pe, cs, &lb);
assert(lb);
lb_ndist_set(lb, ndist);
lb_init(lb);
lb_halo_set(lb, LB_HALO_REDUCED);
cs_nlocal(cs, nlocal);
/* Set everything which is NOT in a halo */
for (i = 1; i <= nlocal[X]; i++) {
for (j = 1; j <= nlocal[Y]; j++) {
for (k = 1; k <= nlocal[Z]; k++) {
index = cs_index(cs, i, j, k);
for (n = 0; n < ndist; n++) {
for (p = 0; p < lb->model.nvel; p++) {
f_expect = 1.0*(n*lb->model.nvel + p);
lb_f_set(lb, index, p, n, f_expect);
}
}
}
}
}
lb_halo_via_struct(lb);
/* Now check that the interior sites are unchanged */
for (i = 1; i <= nlocal[X]; i++) {
for (j = 1; j <= nlocal[Y]; j++) {
for (k = 1; k <= nlocal[Z]; k++) {
index = cs_index(cs, i, j, k);
for (n = 0; n < ndist; n++) {
for (p = 0; p < lb->model.nvel; p++) {
lb_f(lb, index, p, n, &f_actual);
f_expect = 1.0*(n*lb->model.nvel + p);
test_assert(fabs(f_expect - f_actual) < DBL_EPSILON);
}
}
}
}
}
/* Also check the halos sites. The key test of the reduced halo
* swap is that distributions for which r + c_i dt takes us into
* the domain proper must be correct. */
for (i = 1 - nextra; i <= nlocal[X] + nextra; i++) {
if (i >= 1 && i <= nlocal[X]) continue;
for (j = 1 - nextra; j <= nlocal[Y] + nextra; j++) {
if (j >= 1 && j <= nlocal[Y]) continue;
for (k = 1 - nextra; k <= nlocal[Z] + nextra; k++) {
if (k >= 1 && k <= nlocal[Z]) continue;
index = cs_index(cs, i, j, k);
for (n = 0; n < ndist; n++) {
for (p = 0; p < lb->model.nvel; p++) {
lb_f(lb, index, p, n, &f_actual);
f_expect = 1.0*(n*lb->model.nvel + p);
icdt = i + lb->model.cv[p][X];
jcdt = j + lb->model.cv[p][Y];
kcdt = k + lb->model.cv[p][Z];
if (test_model_is_domain(cs, icdt, jcdt, kcdt)) {
test_assert(fabs(f_actual - f_expect) < DBL_EPSILON);
}
}
}
/* Next site */
}
}
}
lb_free(lb);
return 0;
}
/*****************************************************************************
*
* test_model_is_domain
*
* Is (ic, jc, kc) in the domain proper?
*
*****************************************************************************/
static int test_model_is_domain(cs_t * cs, int ic, int jc, int kc) {
int nlocal[3];
int iam = 1;
assert(cs);
cs_nlocal(cs, nlocal);
if (ic < 1) iam = 0;
if (jc < 1) iam = 0;
if (kc < 1) iam = 0;
if (ic > nlocal[X]) iam = 0;
if (jc > nlocal[Y]) iam = 0;
if (kc > nlocal[Z]) iam = 0;
return iam;
}
/*****************************************************************************
*
* do_test_lb_model_io
*
*****************************************************************************/
int do_test_lb_model_io(pe_t * pe, cs_t * cs) {
int ndist = 2;
lb_t * lbrd = NULL;
lb_t * lbwr = NULL;
assert(pe);
assert(cs);
lb_create_ndist(pe, cs, ndist, &lbrd);
lb_create_ndist(pe, cs, ndist, &lbwr);
lb_init(lbwr);
lb_init(lbrd);
/* Write */
/* Read */
/* Compare */
lb_free(lbwr);
lb_free(lbrd);
return 0;
}
|
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PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#endif
#define __Pyx_DefaultClassType PyType_Type
#endif
#ifndef Py_TPFLAGS_CHECKTYPES
#define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
#define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
#define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
#define Py_TPFLAGS_HAVE_FINALIZE 0
#endif
#ifndef METH_STACKLESS
#define METH_STACKLESS 0
#endif
#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
#ifndef METH_FASTCALL
#define METH_FASTCALL 0x80
#endif
typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
Py_ssize_t nargs, PyObject *kwnames);
#else
#define __Pyx_PyCFunctionFast _PyCFunctionFast
#define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
#endif
#if CYTHON_FAST_PYCCALL
#define __Pyx_PyFastCFunction_Check(func)\
((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))
#else
#define __Pyx_PyFastCFunction_Check(func) 0
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
#define PyObject_Malloc(s) PyMem_Malloc(s)
#define PyObject_Free(p) PyMem_Free(p)
#define PyObject_Realloc(p) PyMem_Realloc(p)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1
#define PyMem_RawMalloc(n) PyMem_Malloc(n)
#define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n)
#define PyMem_RawFree(p) PyMem_Free(p)
#endif
#if CYTHON_COMPILING_IN_PYSTON
#define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
#else
#define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno)
#endif
#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
#define __Pyx_PyThreadState_Current PyThreadState_GET()
#elif PY_VERSION_HEX >= 0x03060000
#define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
#elif PY_VERSION_HEX >= 0x03000000
#define __Pyx_PyThreadState_Current PyThreadState_GET()
#else
#define __Pyx_PyThreadState_Current _PyThreadState_Current
#endif
#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
#include "pythread.h"
#define Py_tss_NEEDS_INIT 0
typedef int Py_tss_t;
static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
*key = PyThread_create_key();
return 0;
}
static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
*key = Py_tss_NEEDS_INIT;
return key;
}
static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
PyObject_Free(key);
}
static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
return *key != Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
PyThread_delete_key(*key);
*key = Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
return PyThread_set_key_value(*key, value);
}
static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
return PyThread_get_key_value(*key);
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
#else
#define __Pyx_PyDict_NewPresized(n) PyDict_New()
#endif
#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
#else
#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
#else
#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name)
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
#define CYTHON_PEP393_ENABLED 1
#if defined(PyUnicode_IS_READY)
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
0 : _PyUnicode_Ready((PyObject *)(op)))
#else
#define __Pyx_PyUnicode_READY(op) (0)
#endif
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)
#define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)
#define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)
#if defined(PyUnicode_IS_READY) && defined(PyUnicode_GET_SIZE)
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03090000
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : ((PyCompactUnicodeObject *)(u))->wstr_length))
#else
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#endif
#else
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_LENGTH(u))
#endif
#else
#define CYTHON_PEP393_ENABLED 0
#define PyUnicode_1BYTE_KIND 1
#define PyUnicode_2BYTE_KIND 2
#define PyUnicode_4BYTE_KIND 4
#define __Pyx_PyUnicode_READY(op) (0)
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
#define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))
#define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))
#define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))
#endif
#if CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)
#else
#define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
#define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
#define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt)
#endif
#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
#else
#define __Pyx_PyString_Format(a, b) PyString_Format(a, b)
#endif
#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
#define PyObject_ASCII(o) PyObject_Repr(o)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
#ifndef PyObject_Unicode
#define PyObject_Unicode PyObject_Str
#endif
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
#endif
#ifndef PySet_CheckExact
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
#endif
#if PY_VERSION_HEX >= 0x030900A4
#define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)
#else
#define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)
#endif
#if CYTHON_ASSUME_SAFE_MACROS
#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
#else
#define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#define PyNumber_Int PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
#endif
#endif
#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))
#else
#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
#endif
#if CYTHON_USE_ASYNC_SLOTS
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
#else
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#endif
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
#endif
#define __PYX_MARK_ERR_POS(f_index, lineno) \
{ __pyx_filename = __pyx_f[f_index]; (void)__pyx_filename; __pyx_lineno = lineno; (void)__pyx_lineno; __pyx_clineno = __LINE__; (void)__pyx_clineno; }
#define __PYX_ERR(f_index, lineno, Ln_error) \
{ __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; }
#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#define __PYX_HAVE__monotonic_align__core
#define __PYX_HAVE_API__monotonic_align__core
/* Early includes */
#include "pythread.h"
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
(sizeof(type) < sizeof(Py_ssize_t)) ||\
(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
v == (type)PY_SSIZE_T_MIN))) ||\
(sizeof(type) == sizeof(Py_ssize_t) &&\
(is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX))) )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
#include <cstdlib>
#define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
const Py_UNICODE *u_end = u;
while (*u_end++) ;
return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
(likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
if (strcmp(default_encoding_c, "ascii") == 0) {
__Pyx_sys_getdefaultencoding_not_ascii = 0;
} else {
char ascii_chars[128];
int c;
for (c = 0; c < 128; c++) {
ascii_chars[c] = c;
}
__Pyx_sys_getdefaultencoding_not_ascii = 1;
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
if (!ascii_chars_u) goto bad;
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
}
#endif
#endif
/* Test for GCC > 2.95 */
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
static const char *__pyx_f[] = {
"core.pyx",
"stringsource",
};
/* NoFastGil.proto */
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
#define __Pyx_PyGILState_Release PyGILState_Release
#define __Pyx_FastGIL_Remember()
#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()
/* MemviewSliceStruct.proto */
struct __pyx_memoryview_obj;
typedef struct {
struct __pyx_memoryview_obj *memview;
char *data;
Py_ssize_t shape[8];
Py_ssize_t strides[8];
Py_ssize_t suboffsets[8];
} __Pyx_memviewslice;
#define __Pyx_MemoryView_Len(m) (m.shape[0])
/* Atomics.proto */
#include <pythread.h>
#ifndef CYTHON_ATOMICS
#define CYTHON_ATOMICS 1
#endif
#define __pyx_atomic_int_type int
#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
(__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
!defined(__i386__)
#define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
#define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using GNU atomics"
#endif
#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
#include <Windows.h>
#undef __pyx_atomic_int_type
#define __pyx_atomic_int_type LONG
#define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#pragma message ("Using MSVC atomics")
#endif
#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0
#define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using Intel atomics"
#endif
#else
#undef CYTHON_ATOMICS
#define CYTHON_ATOMICS 0
#ifdef __PYX_DEBUG_ATOMICS
#warning "Not using atomics"
#endif
#endif
typedef volatile __pyx_atomic_int_type __pyx_atomic_int;
#if CYTHON_ATOMICS
#define __pyx_add_acquisition_count(memview)\
__pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#else
#define __pyx_add_acquisition_count(memview)\
__pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#endif
/* ForceInitThreads.proto */
#ifndef __PYX_FORCE_INIT_THREADS
#define __PYX_FORCE_INIT_THREADS 0
#endif
/* BufferFormatStructs.proto */
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
const char* name;
struct __Pyx_StructField_* fields;
size_t size;
size_t arraysize[8];
int ndim;
char typegroup;
char is_unsigned;
int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
__Pyx_TypeInfo* type;
const char* name;
size_t offset;
} __Pyx_StructField;
typedef struct {
__Pyx_StructField* field;
size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
__Pyx_StructField root;
__Pyx_BufFmt_StackElem* head;
size_t fmt_offset;
size_t new_count, enc_count;
size_t struct_alignment;
int is_complex;
char enc_type;
char new_packmode;
char enc_packmode;
char is_valid_array;
} __Pyx_BufFmt_Context;
/*--- Type declarations ---*/
struct __pyx_array_obj;
struct __pyx_MemviewEnum_obj;
struct __pyx_memoryview_obj;
struct __pyx_memoryviewslice_obj;
struct __pyx_opt_args_15monotonic_align_4core_maximum_path_each;
/* "monotonic_align/core.pyx":7
* @cython.boundscheck(False)
* @cython.wraparound(False)
* cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_y, int t_x, float max_neg_val=-1e9) nogil: # <<<<<<<<<<<<<<
* cdef int x
* cdef int y
*/
struct __pyx_opt_args_15monotonic_align_4core_maximum_path_each {
int __pyx_n;
float max_neg_val;
};
/* "View.MemoryView":105
*
* @cname("__pyx_array")
* cdef class array: # <<<<<<<<<<<<<<
*
* cdef:
*/
struct __pyx_array_obj {
PyObject_HEAD
struct __pyx_vtabstruct_array *__pyx_vtab;
char *data;
Py_ssize_t len;
char *format;
int ndim;
Py_ssize_t *_shape;
Py_ssize_t *_strides;
Py_ssize_t itemsize;
PyObject *mode;
PyObject *_format;
void (*callback_free_data)(void *);
int free_data;
int dtype_is_object;
};
/* "View.MemoryView":279
*
* @cname('__pyx_MemviewEnum')
* cdef class Enum(object): # <<<<<<<<<<<<<<
* cdef object name
* def __init__(self, name):
*/
struct __pyx_MemviewEnum_obj {
PyObject_HEAD
PyObject *name;
};
/* "View.MemoryView":330
*
* @cname('__pyx_memoryview')
* cdef class memoryview(object): # <<<<<<<<<<<<<<
*
* cdef object obj
*/
struct __pyx_memoryview_obj {
PyObject_HEAD
struct __pyx_vtabstruct_memoryview *__pyx_vtab;
PyObject *obj;
PyObject *_size;
PyObject *_array_interface;
PyThread_type_lock lock;
__pyx_atomic_int acquisition_count[2];
__pyx_atomic_int *acquisition_count_aligned_p;
Py_buffer view;
int flags;
int dtype_is_object;
__Pyx_TypeInfo *typeinfo;
};
/* "View.MemoryView":965
*
* @cname('__pyx_memoryviewslice')
* cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<<
* "Internal class for passing memoryview slices to Python"
*
*/
struct __pyx_memoryviewslice_obj {
struct __pyx_memoryview_obj __pyx_base;
__Pyx_memviewslice from_slice;
PyObject *from_object;
PyObject *(*to_object_func)(char *);
int (*to_dtype_func)(char *, PyObject *);
};
/* "View.MemoryView":105
*
* @cname("__pyx_array")
* cdef class array: # <<<<<<<<<<<<<<
*
* cdef:
*/
struct __pyx_vtabstruct_array {
PyObject *(*get_memview)(struct __pyx_array_obj *);
};
static struct __pyx_vtabstruct_array *__pyx_vtabptr_array;
/* "View.MemoryView":330
*
* @cname('__pyx_memoryview')
* cdef class memoryview(object): # <<<<<<<<<<<<<<
*
* cdef object obj
*/
struct __pyx_vtabstruct_memoryview {
char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *);
PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *);
};
static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview;
/* "View.MemoryView":965
*
* @cname('__pyx_memoryviewslice')
* cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<<
* "Internal class for passing memoryview slices to Python"
*
*/
struct __pyx_vtabstruct__memoryviewslice {
struct __pyx_vtabstruct_memoryview __pyx_base;
};
static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice;
/* --- Runtime support code (head) --- */
/* Refnanny.proto */
#ifndef CYTHON_REFNANNY
#define CYTHON_REFNANNY 0
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typedef struct {
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void (*DECREF)(void*, PyObject*, int);
void (*GOTREF)(void*, PyObject*, int);
void (*GIVEREF)(void*, PyObject*, int);
void* (*SetupContext)(const char*, int, const char*);
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static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname);
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#define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
#define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
#define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
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#define __Pyx_RefNannyDeclarations
#define __Pyx_RefNannySetupContext(name, acquire_gil)
#define __Pyx_RefNannyFinishContext()
#define __Pyx_INCREF(r) Py_INCREF(r)
#define __Pyx_DECREF(r) Py_DECREF(r)
#define __Pyx_GOTREF(r)
#define __Pyx_GIVEREF(r)
#define __Pyx_XINCREF(r) Py_XINCREF(r)
#define __Pyx_XDECREF(r) Py_XDECREF(r)
#define __Pyx_XGOTREF(r)
#define __Pyx_XGIVEREF(r)
#endif
#define __Pyx_XDECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
r = v; __Pyx_XDECREF(tmp);\
} while (0)
#define __Pyx_DECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
r = v; __Pyx_DECREF(tmp);\
} while (0)
#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
/* PyObjectGetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
#endif
/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
/* MemviewSliceInit.proto */
#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d
#define __Pyx_MEMVIEW_DIRECT 1
#define __Pyx_MEMVIEW_PTR 2
#define __Pyx_MEMVIEW_FULL 4
#define __Pyx_MEMVIEW_CONTIG 8
#define __Pyx_MEMVIEW_STRIDED 16
#define __Pyx_MEMVIEW_FOLLOW 32
#define __Pyx_IS_C_CONTIG 1
#define __Pyx_IS_F_CONTIG 2
static int __Pyx_init_memviewslice(
struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference);
static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))
#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
const char* function_name);
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* ArgTypeTest.proto */
#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
__Pyx__ArgTypeTest(obj, type, name, exact))
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif
/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type
#else
#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred() PyErr_Occurred()
#endif
/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb)
#endif
/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL)
#endif
/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
__Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
#endif
#define __Pyx_BUILD_ASSERT_EXPR(cond)\
(sizeof(char [1 - 2*!(cond)]) - 1)
#ifndef Py_MEMBER_SIZE
#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
#endif
static size_t __pyx_pyframe_localsplus_offset = 0;
#include "frameobject.h"
#define __Pxy_PyFrame_Initialize_Offsets()\
((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
(void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
#define __Pyx_PyFrame_GetLocalsplus(frame)\
(assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset))
#endif
/* PyObjectCall2Args.proto */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);
/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif
/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
/* IncludeStringH.proto */
#include <string.h>
/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif
/* None.proto */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t);
/* UnaryNegOverflows.proto */
#define UNARY_NEG_WOULD_OVERFLOW(x)\
(((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))
static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
/* GetAttr.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
(is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
__Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
int is_list, int wraparound, int boundscheck);
/* ObjectGetItem.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
#else
#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key)
#endif
/* decode_c_string_utf16.proto */
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 0;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = -1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
/* decode_c_string.proto */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
/* PyErrExceptionMatches.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
#else
#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err)
#endif
/* GetAttr3.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
/* PyDictVersioning.proto */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1)
#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
(version_var) = __PYX_GET_DICT_VERSION(dict);\
(cache_var) = (value);
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
static PY_UINT64_T __pyx_dict_version = 0;\
static PyObject *__pyx_dict_cached_value = NULL;\
if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
(VAR) = __pyx_dict_cached_value;\
} else {\
(VAR) = __pyx_dict_cached_value = (LOOKUP);\
__pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
}\
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);
#else
#define __PYX_GET_DICT_VERSION(dict) (0)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP);
#endif
/* GetModuleGlobalName.proto */
#if CYTHON_USE_DICT_VERSIONS
#define __Pyx_GetModuleGlobalName(var, name) {\
static PY_UINT64_T __pyx_dict_version = 0;\
static PyObject *__pyx_dict_cached_value = NULL;\
(var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\
(likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\
__Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
#define __Pyx_GetModuleGlobalNameUncached(var, name) {\
PY_UINT64_T __pyx_dict_version;\
PyObject *__pyx_dict_cached_value;\
(var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);
#else
#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name)
#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name)
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name);
#endif
/* RaiseTooManyValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
/* GetTopmostException.proto */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);
#endif
/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
#else
#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb)
#endif
/* GetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb)
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* SwapException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
#else
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
#endif
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
/* ListCompAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len)) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
(inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif
/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
#else
return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
#endif
}
/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif
/* None.proto */
static CYTHON_INLINE long __Pyx_div_long(long, long);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
/* HasAttr.proto */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
#endif
/* PyObject_GenericGetAttr.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
#endif
/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
/* PyObjectGetAttrStrNoError.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name);
/* SetupReduce.proto */
static int __Pyx_setup_reduce(PyObject* type_obj);
/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif
/* CodeObjectCache.proto */
typedef struct {
PyCodeObject* code_object;
int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename);
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
/* BufferStructDeclare.proto */
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;
/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
/* IsLittleEndian.proto */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);
/* BufferFormatCheck.proto */
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type);
/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag);
/* GCCDiagnostics.proto */
#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6))
#define __Pyx_HAS_GCC_DIAGNOSTIC
#endif
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'cython.view' */
/* Module declarations from 'cython' */
/* Module declarations from 'monotonic_align.core' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static void __pyx_f_15monotonic_align_4core_maximum_path_each(__Pyx_memviewslice, __Pyx_memviewslice, int, int, struct __pyx_opt_args_15monotonic_align_4core_maximum_path_each *__pyx_optional_args); /*proto*/
static void __pyx_f_15monotonic_align_4core_maximum_path_c(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, int __pyx_skip_dispatch); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 };
#define __Pyx_MODULE_NAME "monotonic_align.core"
extern int __pyx_module_is_main_monotonic_align__core;
int __pyx_module_is_main_monotonic_align__core = 0;
/* Implementation of 'monotonic_align.core' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_O[] = "O";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "name";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_step[] = "step";
static const char __pyx_k_stop[] = "stop";
static const char __pyx_k_t_xs[] = "t_xs";
static const char __pyx_k_t_ys[] = "t_ys";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_ASCII[] = "ASCII";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_paths[] = "paths";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_values[] = "values";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_name_2;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_new;
static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_paths;
static PyObject *__pyx_n_s_pickle;
static PyObject *__pyx_n_s_pyx_PickleError;
static PyObject *__pyx_n_s_pyx_checksum;
static PyObject *__pyx_n_s_pyx_getbuffer;
static PyObject *__pyx_n_s_pyx_result;
static PyObject *__pyx_n_s_pyx_state;
static PyObject *__pyx_n_s_pyx_type;
static PyObject *__pyx_n_s_pyx_unpickle_Enum;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_start;
static PyObject *__pyx_n_s_step;
static PyObject *__pyx_n_s_stop;
static PyObject *__pyx_kp_s_strided_and_direct;
static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
static PyObject *__pyx_kp_s_strided_and_indirect;
static PyObject *__pyx_kp_s_stringsource;
static PyObject *__pyx_n_s_struct;
static PyObject *__pyx_n_s_t_xs;
static PyObject *__pyx_n_s_t_ys;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
static PyObject *__pyx_n_s_unpack;
static PyObject *__pyx_n_s_update;
static PyObject *__pyx_n_s_values;
static PyObject *__pyx_pf_15monotonic_align_4core_maximum_path_c(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_paths, __Pyx_memviewslice __pyx_v_values, __Pyx_memviewslice __pyx_v_t_ys, __Pyx_memviewslice __pyx_v_t_xs); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */
static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_184977713;
static PyObject *__pyx_int_neg_1;
static float __pyx_k_;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__5;
static PyObject *__pyx_tuple__6;
static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__9;
static PyObject *__pyx_slice__16;
static PyObject *__pyx_tuple__10;
static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__12;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_tuple__14;
static PyObject *__pyx_tuple__15;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__18;
static PyObject *__pyx_tuple__19;
static PyObject *__pyx_tuple__20;
static PyObject *__pyx_tuple__21;
static PyObject *__pyx_tuple__22;
static PyObject *__pyx_tuple__23;
static PyObject *__pyx_tuple__24;
static PyObject *__pyx_tuple__25;
static PyObject *__pyx_codeobj__26;
/* Late includes */
/* "monotonic_align/core.pyx":7
* @cython.boundscheck(False)
* @cython.wraparound(False)
* cdef void maximum_path_each(int[:,::1] path, float[:,::1] value, int t_y, int t_x, float max_neg_val=-1e9) nogil: # <<<<<<<<<<<<<<
* cdef int x
* cdef int y
*/
static void __pyx_f_15monotonic_align_4core_maximum_path_each(__Pyx_memviewslice __pyx_v_path, __Pyx_memviewslice __pyx_v_value, int __pyx_v_t_y, int __pyx_v_t_x, struct __pyx_opt_args_15monotonic_align_4core_maximum_path_each *__pyx_optional_args) {
float __pyx_v_max_neg_val = __pyx_k_;
int __pyx_v_x;
int __pyx_v_y;
float __pyx_v_v_prev;
float __pyx_v_v_cur;
int __pyx_v_index;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
long __pyx_t_4;
int __pyx_t_5;
long __pyx_t_6;
long __pyx_t_7;
int __pyx_t_8;
Py_ssize_t __pyx_t_9;
Py_ssize_t __pyx_t_10;
float __pyx_t_11;
float __pyx_t_12;
float __pyx_t_13;
int __pyx_t_14;
Py_ssize_t __pyx_t_15;
Py_ssize_t __pyx_t_16;
if (__pyx_optional_args) {
if (__pyx_optional_args->__pyx_n > 0) {
__pyx_v_max_neg_val = __pyx_optional_args->max_neg_val;
}
}
/* "monotonic_align/core.pyx":13
* cdef float v_cur
* cdef float tmp
* cdef int index = t_x - 1 # <<<<<<<<<<<<<<
*
* for y in range(t_y):
*/
__pyx_v_index = (__pyx_v_t_x - 1);
/* "monotonic_align/core.pyx":15
* cdef int index = t_x - 1
*
* for y in range(t_y): # <<<<<<<<<<<<<<
* for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)):
* if x == y:
*/
__pyx_t_1 = __pyx_v_t_y;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_y = __pyx_t_3;
/* "monotonic_align/core.pyx":16
*
* for y in range(t_y):
* for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): # <<<<<<<<<<<<<<
* if x == y:
* v_cur = max_neg_val
*/
__pyx_t_4 = (__pyx_v_y + 1);
__pyx_t_5 = __pyx_v_t_x;
if (((__pyx_t_4 < __pyx_t_5) != 0)) {
__pyx_t_6 = __pyx_t_4;
} else {
__pyx_t_6 = __pyx_t_5;
}
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/* "monotonic_align/core.pyx":17
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/* "monotonic_align/core.pyx":18
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/* "monotonic_align/core.pyx":17
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goto __pyx_L7;
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/* "monotonic_align/core.pyx":20
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__pyx_L7:;
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/* "monotonic_align/core.pyx":22
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/* "monotonic_align/core.pyx":23
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/* "monotonic_align/core.pyx":22
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/* "monotonic_align/core.pyx":25
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goto __pyx_L8;
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__pyx_L8:;
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__pyx_L13_bool_binop_done:;
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/* "View.MemoryView":746
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*/
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* memviewsliceobj.to_object_func,
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*/
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/* "View.MemoryView":782
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*
*/
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/* "View.MemoryView":782
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/* "View.MemoryView":710
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/* function exit code */
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/* "View.MemoryView":807
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* __Pyx_memviewslice *dst,
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*/
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int __pyx_v_negative_step;
int __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":827
* cdef bint negative_step
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*
* if start < 0:
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/* "View.MemoryView":829
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/* "View.MemoryView":830
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/* "View.MemoryView":831
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/* "View.MemoryView":832
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*/
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/* "View.MemoryView":831
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/* "View.MemoryView":827
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*/
goto __pyx_L3;
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/* "View.MemoryView":835
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*
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goto __pyx_L6_bool_binop_done;
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__pyx_L6_bool_binop_done:;
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/* "View.MemoryView":837
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*/
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goto __pyx_L9_bool_binop_done;
}
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/* "View.MemoryView":838
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*
*
*/
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/* "View.MemoryView":837
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*
* if have_step and step == 0: # <<<<<<<<<<<<<<
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*/
}
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
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*/
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/* "View.MemoryView":842
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*/
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/* "View.MemoryView":843
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*/
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/* "View.MemoryView":844
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*/
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if (__pyx_t_2) {
/* "View.MemoryView":845
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*/
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/* "View.MemoryView":844
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*/
}
/* "View.MemoryView":842
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*/
goto __pyx_L12;
}
/* "View.MemoryView":846
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* elif start >= shape: # <<<<<<<<<<<<<<
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*/
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/* "View.MemoryView":847
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*/
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":848
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/* "View.MemoryView":847
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goto __pyx_L14;
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/* "View.MemoryView":850
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*/
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__pyx_L14:;
/* "View.MemoryView":846
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__pyx_L12:;
/* "View.MemoryView":841
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*/
goto __pyx_L11;
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/* "View.MemoryView":852
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* if negative_step: # <<<<<<<<<<<<<<
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/* "View.MemoryView":853
* else:
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/* "View.MemoryView":852
* start = shape
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* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L15;
}
/* "View.MemoryView":855
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*
* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
}
__pyx_L15:;
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__pyx_L11:;
/* "View.MemoryView":857
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* if stop < 0:
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*/
__pyx_t_2 = (__pyx_v_have_stop != 0);
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/* "View.MemoryView":858
*
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*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
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/* "View.MemoryView":859
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/* "View.MemoryView":860
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*/
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/* "View.MemoryView":861
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/* "View.MemoryView":858
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*/
goto __pyx_L17;
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/* "View.MemoryView":862
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/* "View.MemoryView":863
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*/
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__pyx_L17:;
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goto __pyx_L16;
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goto __pyx_L19;
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/* "View.MemoryView":868
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/* "View.MemoryView":877
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/* "View.MemoryView":880
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*/
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/* "View.MemoryView":884
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/* "View.MemoryView":1103
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* to_object_func, to_dtype_func,
* memview.dtype_is_object) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 1101, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_5);
__pyx_r = __pyx_t_5;
__pyx_t_5 = 0;
goto __pyx_L0;
/* "View.MemoryView":1087
*
* @cname('__pyx_memoryview_copy_object_from_slice')
* cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<<
* """
* Create a new memoryview object from a given memoryview object and slice.
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_5);
__Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "View.MemoryView":1109
*
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
* return -arg
*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) {
Py_ssize_t __pyx_r;
int __pyx_t_1;
/* "View.MemoryView":1110
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0: # <<<<<<<<<<<<<<
* return -arg
* else:
*/
__pyx_t_1 = ((__pyx_v_arg < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1111
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0:
* return -arg # <<<<<<<<<<<<<<
* else:
* return arg
*/
__pyx_r = (-__pyx_v_arg);
goto __pyx_L0;
/* "View.MemoryView":1110
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0: # <<<<<<<<<<<<<<
* return -arg
* else:
*/
}
/* "View.MemoryView":1113
* return -arg
* else:
* return arg # <<<<<<<<<<<<<<
*
* @cname('__pyx_get_best_slice_order')
*/
/*else*/ {
__pyx_r = __pyx_v_arg;
goto __pyx_L0;
}
/* "View.MemoryView":1109
*
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
* return -arg
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) {
int __pyx_v_i;
Py_ssize_t __pyx_v_c_stride;
Py_ssize_t __pyx_v_f_stride;
char __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1121
* """
* cdef int i
* cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<<
* cdef Py_ssize_t f_stride = 0
*
*/
__pyx_v_c_stride = 0;
/* "View.MemoryView":1122
* cdef int i
* cdef Py_ssize_t c_stride = 0
* cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_f_stride = 0;
/* "View.MemoryView":1124
* cdef Py_ssize_t f_stride = 0
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1125
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1126
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1127
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
goto __pyx_L4_break;
/* "View.MemoryView":1125
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L4_break:;
/* "View.MemoryView":1129
* break
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
*/
__pyx_t_1 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_1;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1131
* for i in range(ndim):
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1132
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
*/
goto __pyx_L7_break;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L7_break:;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
__pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1135
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
* return 'C' # <<<<<<<<<<<<<<
* else:
* return 'F'
*/
__pyx_r = 'C';
goto __pyx_L0;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
}
/* "View.MemoryView":1137
* return 'C'
* else:
* return 'F' # <<<<<<<<<<<<<<
*
* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
Py_ssize_t __pyx_v_dst_extent;
Py_ssize_t __pyx_v_src_stride;
Py_ssize_t __pyx_v_dst_stride;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
Py_ssize_t __pyx_t_4;
Py_ssize_t __pyx_t_5;
Py_ssize_t __pyx_t_6;
/* "View.MemoryView":1147
*
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
*/
__pyx_v_src_extent = (__pyx_v_src_shape[0]);
/* "View.MemoryView":1148
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0]
*/
__pyx_v_dst_extent = (__pyx_v_dst_shape[0]);
/* "View.MemoryView":1149
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
*/
__pyx_v_src_stride = (__pyx_v_src_strides[0]);
/* "View.MemoryView":1150
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<
*
* if ndim == 1:
*/
__pyx_v_dst_stride = (__pyx_v_dst_strides[0]);
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1154
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1155
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1157
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1158
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));
/* "View.MemoryView":1159
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
* else:
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1160
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L4:;
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
goto __pyx_L3;
}
/* "View.MemoryView":1162
* dst_data += dst_stride
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* _copy_strided_to_strided(src_data, src_strides + 1,
* dst_data, dst_strides + 1,
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1163
* else:
* for i in range(dst_extent):
* _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<
* dst_data, dst_strides + 1,
* src_shape + 1, dst_shape + 1,
*/
_copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
/* "View.MemoryView":1167
* src_shape + 1, dst_shape + 1,
* ndim - 1, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1168
* ndim - 1, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L3:;
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
/* function exit code */
}
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1173
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
Py_ssize_t *__pyx_t_2;
Py_ssize_t *__pyx_t_3;
Py_ssize_t *__pyx_t_4;
/* "View.MemoryView":1179
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for shape in src.shape[:ndim]:
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1181
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*
* for shape in src.shape[:ndim]: # <<<<<<<<<<<<<<
* size *= shape
*
*/
__pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim);
for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) {
__pyx_t_2 = __pyx_t_4;
__pyx_v_shape = (__pyx_t_2[0]);
/* "View.MemoryView":1182
*
* for shape in src.shape[:ndim]:
* size *= shape # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * __pyx_v_shape);
}
/* "View.MemoryView":1184
* size *= shape
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
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/* "View.MemoryView":1265
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* if msg != NULL:
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* @cname('__pyx_memoryview_copy_contents')
* cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice dst,
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*/
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void *__pyx_v_tmpdata;
size_t __pyx_v_itemsize;
int __pyx_v_i;
char __pyx_v_order;
int __pyx_v_broadcasting;
int __pyx_v_direct_copy;
__Pyx_memviewslice __pyx_v_tmp;
int __pyx_v_ndim;
int __pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
void *__pyx_t_7;
int __pyx_t_8;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
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* Check for overlapping memory and verify the shapes.
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* cdef void *tmpdata = NULL # <<<<<<<<<<<<<<
* cdef size_t itemsize = src.memview.view.itemsize
* cdef int i
*/
__pyx_v_tmpdata = NULL;
/* "View.MemoryView":1277
* """
* cdef void *tmpdata = NULL
* cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<
* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
*/
__pyx_t_1 = __pyx_v_src.memview->view.itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1279
* cdef size_t itemsize = src.memview.view.itemsize
* cdef int i
* cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<<
* cdef bint broadcasting = False
* cdef bint direct_copy = False
*/
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/* "View.MemoryView":1280
* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
* cdef bint broadcasting = False # <<<<<<<<<<<<<<
* cdef bint direct_copy = False
* cdef __Pyx_memviewslice tmp
*/
__pyx_v_broadcasting = 0;
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* cdef char order = get_best_order(&src, src_ndim)
* cdef bint broadcasting = False
* cdef bint direct_copy = False # <<<<<<<<<<<<<<
* cdef __Pyx_memviewslice tmp
*
*/
__pyx_v_direct_copy = 0;
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* cdef __Pyx_memviewslice tmp
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* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
__pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1285
*
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<<
* elif dst_ndim < src_ndim:
* broadcast_leading(&dst, dst_ndim, src_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim);
/* "View.MemoryView":1284
* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
goto __pyx_L3;
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/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
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* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
__pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0);
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/* "View.MemoryView":1287
* broadcast_leading(&src, src_ndim, dst_ndim)
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*
* cdef int ndim = max(src_ndim, dst_ndim)
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__pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);
/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
}
__pyx_L3:;
/* "View.MemoryView":1289
* broadcast_leading(&dst, dst_ndim, src_ndim)
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* cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
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* cdef int ndim = max(src_ndim, dst_ndim)
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* for i in range(ndim): # <<<<<<<<<<<<<<
* if src.shape[i] != dst.shape[i]:
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*/
__pyx_t_5 = __pyx_v_ndim;
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for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
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/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
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/* "View.MemoryView":1293
* for i in range(ndim):
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* broadcasting = True
* src.strides[i] = 0
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1294
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
* broadcasting = True # <<<<<<<<<<<<<<
* src.strides[i] = 0
* else:
*/
__pyx_v_broadcasting = 1;
/* "View.MemoryView":1295
* if src.shape[i] == 1:
* broadcasting = True
* src.strides[i] = 0 # <<<<<<<<<<<<<<
* else:
* _err_extents(i, dst.shape[i], src.shape[i])
*/
(__pyx_v_src.strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1293
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
goto __pyx_L7;
}
/* "View.MemoryView":1297
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* else:
* _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<<
*
* if src.suboffsets[i] >= 0:
*/
/*else*/ {
__pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1297, __pyx_L1_error)
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/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
}
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
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*/
__pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1300
*
* if src.suboffsets[i] >= 0:
* _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<<
*
* if slices_overlap(&src, &dst, ndim, itemsize):
*/
__pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1300, __pyx_L1_error)
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
}
}
/* "View.MemoryView":1302
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
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if (__pyx_t_2) {
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
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if (__pyx_t_2) {
/* "View.MemoryView":1305
*
* if not slice_is_contig(src, order, ndim):
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*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
*/
__pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
}
/* "View.MemoryView":1307
* order = get_best_order(&dst, ndim)
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<<
* src = tmp
*
*/
__pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1307, __pyx_L1_error)
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/* "View.MemoryView":1308
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* if not broadcasting:
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/* "View.MemoryView":1302
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*
* if not slice_is_contig(src, order, ndim):
*/
}
/* "View.MemoryView":1310
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*
*/
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/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
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*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);
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/* "View.MemoryView":1314
*
* if slice_is_contig(src, 'C', ndim):
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* elif slice_is_contig(src, 'F', ndim):
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*/
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/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
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*/
goto __pyx_L12;
}
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
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* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
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/* "View.MemoryView":1316
* direct_copy = slice_is_contig(dst, 'C', ndim)
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*
* if direct_copy:
*/
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/* "View.MemoryView":1315
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* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
}
__pyx_L12:;
/* "View.MemoryView":1318
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*
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/* "View.MemoryView":1320
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/* "View.MemoryView":1321
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
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* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
*/
(void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));
/* "View.MemoryView":1322
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
* free(tmpdata)
* return 0
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1323
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
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* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1324
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* free(tmpdata)
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*
* if order == 'F' == get_best_order(&dst, ndim):
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
}
/* "View.MemoryView":1310
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1326
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = (__pyx_v_order == 'F');
if (__pyx_t_2) {
__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
__pyx_t_8 = (__pyx_t_2 != 0);
if (__pyx_t_8) {
/* "View.MemoryView":1329
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
*
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1329, __pyx_L1_error)
/* "View.MemoryView":1330
*
* transpose_memslice(&src)
* transpose_memslice(&dst) # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1330, __pyx_L1_error)
/* "View.MemoryView":1326
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1332
* transpose_memslice(&dst)
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1333
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
*/
copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1334
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
*
* free(tmpdata)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1336
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1337
*
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_broadcast_leading')
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1268
*
* @cname('__pyx_memoryview_copy_contents')
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__pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1397
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};
static PyMappingMethods __pyx_tp_as_mapping_array = {
__pyx_array___len__, /*mp_length*/
__pyx_array___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_array, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_array = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_array_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_array = {
PyVarObject_HEAD_INIT(0, 0)
"monotonic_align.core.array", /*tp_name*/
sizeof(struct __pyx_array_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_array, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
0, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_array, /*tp_as_sequence*/
&__pyx_tp_as_mapping_array, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
__pyx_tp_getattro_array, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_array, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/
0, /*tp_doc*/
0, /*tp_traverse*/
0, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_array, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_array, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_array, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
struct __pyx_MemviewEnum_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_MemviewEnum_obj *)o);
p->name = Py_None; Py_INCREF(Py_None);
return o;
}
static void __pyx_tp_dealloc_Enum(PyObject *o) {
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
Py_CLEAR(p->name);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
if (p->name) {
e = (*v)(p->name, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_Enum(PyObject *o) {
PyObject* tmp;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
tmp = ((PyObject*)p->name);
p->name = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
return 0;
}
static PyMethodDef __pyx_methods_Enum[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_MemviewEnum = {
PyVarObject_HEAD_INIT(0, 0)
"monotonic_align.core.Enum", /*tp_name*/
sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_Enum, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_MemviewEnum___repr__, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_Enum, /*tp_traverse*/
__pyx_tp_clear_Enum, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_Enum, /*tp_methods*/
0, /*tp_members*/
0, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
__pyx_MemviewEnum___init__, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_Enum, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryview_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryview_obj *)o);
p->__pyx_vtab = __pyx_vtabptr_memoryview;
p->obj = Py_None; Py_INCREF(Py_None);
p->_size = Py_None; Py_INCREF(Py_None);
p->_array_interface = Py_None; Py_INCREF(Py_None);
p->view.obj = NULL;
if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;
return o;
bad:
Py_DECREF(o); o = 0;
return NULL;
}
static void __pyx_tp_dealloc_memoryview(PyObject *o) {
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryview___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
if (p->obj) {
e = (*v)(p->obj, a); if (e) return e;
}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
e = (*v)(p->_array_interface, a); if (e) return e;
}
if (p->view.obj) {
e = (*v)(p->view.obj, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
tmp = ((PyObject*)p->obj);
p->obj = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_size);
p->_size = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_array_interface);
p->_array_interface = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
Py_CLEAR(p->view.obj);
return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
Py_DECREF(x);
return r;
}
static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_memoryview___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
"Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
return -1;
}
}
static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
{"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
{(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"monotonic_align.core.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryviewslice___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}
static PyMethodDef __pyx_methods__memoryviewslice[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_memoryviewslice = {
PyVarObject_HEAD_INIT(0, 0)
"monotonic_align.core._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___repr__, /*tp_repr*/
#else
0, /*tp_repr*/
#endif
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
"Internal class for passing memoryview slices to Python", /*tp_doc*/
__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
__pyx_tp_clear__memoryviewslice, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods__memoryviewslice, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets__memoryviewslice, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
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goto invalid_keyword;
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#if PY_MAJOR_VERSION < 3
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"%s() got an unexpected keyword argument '%U'",
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return -1;
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}
/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = Py_TYPE(func)->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyErrFetchRestore */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
}
#endif
/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
__Pyx_PyThreadState_declare
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_PyThreadState_assign
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
int is_subclass = PyObject_IsSubclass(instance_class, type);
if (!is_subclass) {
instance_class = NULL;
} else if (unlikely(is_subclass == -1)) {
goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
PyObject *args, *result = NULL;
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyFunction_FastCall(function, args, 2);
}
#endif
#if CYTHON_FAST_PYCCALL
if (__Pyx_PyFastCFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyCFunction_FastCall(function, args, 2);
}
#endif
args = PyTuple_New(2);
if (unlikely(!args)) goto done;
Py_INCREF(arg1);
PyTuple_SET_ITEM(args, 0, arg1);
Py_INCREF(arg2);
PyTuple_SET_ITEM(args, 1, arg2);
Py_INCREF(function);
result = __Pyx_PyObject_Call(function, args, NULL);
Py_DECREF(args);
Py_DECREF(function);
done:
return result;
}
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (__Pyx_PyFastCFunction_Check(func)) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* None */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) {
Py_ssize_t q = a / b;
Py_ssize_t r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
if (unlikely(stop <= start))
return __Pyx_NewRef(__pyx_empty_unicode);
length = stop - start;
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
PyObject **dictptr = NULL;
Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
dictptr = _PyObject_GetDictPtr(obj);
#endif
}
return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
return 0;
return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif
/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
} else if (unlikely(PyErr_Occurred())) {
return NULL;
}
#else
result = PyDict_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
#endif
#else
result = PyObject_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
PyErr_Clear();
#endif
return __Pyx_GetBuiltinName(name);
}
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* GetTopmostException */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
_PyErr_StackItem *exc_info = tstate->exc_info;
while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
exc_info->previous_item != NULL)
{
exc_info = exc_info->previous_item;
}
return exc_info;
}
#endif
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
*type = exc_info->exc_type;
*value = exc_info->exc_value;
*tb = exc_info->exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = type;
exc_info->exc_value = value;
exc_info->exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
#endif
{
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if CYTHON_USE_EXC_INFO_STACK
{
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = local_type;
exc_info->exc_value = local_value;
exc_info->exc_traceback = local_tb;
}
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = *type;
exc_info->exc_value = *value;
exc_info->exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
assert(PyExceptionClass_Check(exc_type));
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
PyObject *t = PyTuple_GET_ITEM(tuple, i);
#if PY_MAJOR_VERSION < 3
if (likely(exc_type == t)) return 1;
#endif
if (likely(PyExceptionClass_Check(t))) {
if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
} else {
}
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
if (likely(PyExceptionClass_Check(exc_type))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
} else if (likely(PyTuple_Check(exc_type))) {
return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
} else {
}
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
assert(PyExceptionClass_Check(exc_type1));
assert(PyExceptionClass_Check(exc_type2));
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
(void)inplace;
(void)zerodivision_check;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE long __Pyx_div_long(long a, long b) {
long q = a / b;
long r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* PyObject_GenericGetAttrNoDict */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
"'%.50s' object has no attribute '%U'",
tp->tp_name, attr_name);
#else
"'%.50s' object has no attribute '%.400s'",
tp->tp_name, PyString_AS_STRING(attr_name));
#endif
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
PyObject *descr;
PyTypeObject *tp = Py_TYPE(obj);
if (unlikely(!PyString_Check(attr_name))) {
return PyObject_GenericGetAttr(obj, attr_name);
}
assert(!tp->tp_dictoffset);
descr = _PyType_Lookup(tp, attr_name);
if (unlikely(!descr)) {
return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
}
Py_INCREF(descr);
#if PY_MAJOR_VERSION < 3
if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
#endif
{
descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
if (unlikely(f)) {
PyObject *res = f(descr, obj, (PyObject *)tp);
Py_DECREF(descr);
return res;
}
}
return descr;
}
#endif
/* PyObject_GenericGetAttr */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
return PyObject_GenericGetAttr(obj, attr_name);
}
return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* PyObjectGetAttrStrNoError */
static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
__Pyx_PyErr_Clear();
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) {
PyObject *result;
#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1
PyTypeObject* tp = Py_TYPE(obj);
if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) {
return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1);
}
#endif
result = __Pyx_PyObject_GetAttrStr(obj, attr_name);
if (unlikely(!result)) {
__Pyx_PyObject_GetAttrStr_ClearAttributeError();
}
return result;
}
/* SetupReduce */
static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
int ret;
PyObject *name_attr;
name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
if (likely(name_attr)) {
ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
} else {
ret = -1;
}
if (unlikely(ret < 0)) {
PyErr_Clear();
ret = 0;
}
Py_XDECREF(name_attr);
return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
int ret = 0;
PyObject *object_reduce = NULL;
PyObject *object_reduce_ex = NULL;
PyObject *reduce = NULL;
PyObject *reduce_ex = NULL;
PyObject *reduce_cython = NULL;
PyObject *setstate = NULL;
PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD;
if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython);
if (likely(reduce_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (reduce == object_reduce || PyErr_Occurred()) {
goto __PYX_BAD;
}
setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
if (!setstate) PyErr_Clear();
if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython);
if (likely(setstate_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (!setstate || PyErr_Occurred()) {
goto __PYX_BAD;
}
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto __PYX_GOOD;
__PYX_BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
__PYX_GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
if (unlikely(!__pyx_cython_runtime)) {
return c_line;
}
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
__PYX_PY_DICT_LOOKUP_IF_MODIFIED(
use_cline, *cython_runtime_dict,
__Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t <= '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case '?': return "'bool'";
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number, ndim;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ndim = ctx->head->field->type->ndim;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
CYTHON_FALLTHROUGH;
case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) &&
(ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
CYTHON_FALLTHROUGH;
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (unlikely(buf->strides[dim] != sizeof(void *))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (unlikely(buf->strides[dim] != buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (unlikely(stride < buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (unlikely(buf->suboffsets)) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not fortran contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
} else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
}
return 1;
fail:
return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (unlikely(buf->ndim != ndim)) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail;
}
if (unlikely((unsigned) buf->itemsize != dtype->size)) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->len > 0) {
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (unlikely(!__pyx_check_strides(buf, i, ndim, spec)))
goto fail;
if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec)))
goto fail;
}
if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)))
goto fail;
}
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_float(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3,
&__Pyx_TypeInfo_float, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (unlikely(from_mvs->suboffsets[i] >= 0)) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const char neg_one = (char) -1, const_zero = (char) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
if (PyObject_Hash(*t->p) == -1)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (likely(PyUnicode_IS_ASCII(o))) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
return __Pyx_PyUnicode_AsStringAndSize(o, length);
} else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
int retval;
if (unlikely(!x)) return -1;
retval = __Pyx_PyObject_IsTrue(x);
Py_DECREF(x);
return retval;
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
if (PyLong_Check(result)) {
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
"__int__ returned non-int (type %.200s). "
"The ability to return an instance of a strict subclass of int "
"is deprecated, and may be removed in a future version of Python.",
Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
return NULL;
}
return result;
}
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
#endif
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
if (likely(PyLong_Check(x)))
#endif
return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = m->nb_int(x);
}
else if (m && m->nb_long) {
name = "long";
res = m->nb_long(x);
}
#else
if (likely(m && m->nb_int)) {
name = "int";
res = m->nb_int(x);
}
#endif
#else
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
res = PyNumber_Int(x);
}
#endif
if (likely(res)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
if (unlikely(!PyLong_CheckExact(res))) {
#endif
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
return PyInt_AS_LONG(b);
else
return PyInt_AsSsize_t(b);
}
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)b)->ob_digit;
const Py_ssize_t size = Py_SIZE(b);
if (likely(__Pyx_sst_abs(size) <= 1)) {
ival = likely(size) ? digits[0] : 0;
if (size == -1) ival = -ival;
return ival;
} else {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
}
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
segment.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% SSSSS EEEEE GGGG M M EEEEE N N TTTTT %
% SS E G MM MM E NN N T %
% SSS EEE G GGG M M M EEE N N N T %
% SS E G G M M E N NN T %
% SSSSS EEEEE GGGG M M EEEEE N N T %
% %
% %
% MagickCore Methods to Segment an Image with Thresholding Fuzzy c-Means %
% %
% Software Design %
% Cristy %
% April 1993 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Segment segments an image by analyzing the histograms of the color
% components and identifying units that are homogeneous with the fuzzy
% c-means technique. The scale-space filter analyzes the histograms of
% the three color components of the image and identifies a set of
% classes. The extents of each class is used to coarsely segment the
% image with thresholding. The color associated with each class is
% determined by the mean color of all pixels within the extents of a
% particular class. Finally, any unclassified pixels are assigned to
% the closest class with the fuzzy c-means technique.
%
% The fuzzy c-Means algorithm can be summarized as follows:
%
% o Build a histogram, one for each color component of the image.
%
% o For each histogram, successively apply the scale-space filter and
% build an interval tree of zero crossings in the second derivative
% at each scale. Analyze this scale-space ''fingerprint'' to
% determine which peaks and valleys in the histogram are most
% predominant.
%
% o The fingerprint defines intervals on the axis of the histogram.
% Each interval contains either a minima or a maxima in the original
% signal. If each color component lies within the maxima interval,
% that pixel is considered ''classified'' and is assigned an unique
% class number.
%
% o Any pixel that fails to be classified in the above thresholding
% pass is classified using the fuzzy c-Means technique. It is
% assigned to one of the classes discovered in the histogram analysis
% phase.
%
% The fuzzy c-Means technique attempts to cluster a pixel by finding
% the local minima of the generalized within group sum of squared error
% objective function. A pixel is assigned to the closest class of
% which the fuzzy membership has a maximum value.
%
% Segment is strongly based on software written by Andy Gallo,
% University of Delaware.
%
% The following reference was used in creating this program:
%
% Young Won Lim, Sang Uk Lee, "On The Color Image Segmentation
% Algorithm Based on the Thresholding and the Fuzzy c-Means
% Techniques", Pattern Recognition, Volume 23, Number 9, pages
% 935-952, 1990.
%
%
*/
#include "MagickCore/studio.h"
#include "MagickCore/cache.h"
#include "MagickCore/color.h"
#include "MagickCore/colormap.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/quantize.h"
#include "MagickCore/quantum.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/segment.h"
#include "MagickCore/string_.h"
#include "MagickCore/thread-private.h"
#include "ios_error.h"
/*
Define declarations.
*/
#define MaxDimension 3
#define DeltaTau 0.5f
#if defined(FastClassify)
#define WeightingExponent 2.0
#define SegmentPower(ratio) (ratio)
#else
#define WeightingExponent 2.5
#define SegmentPower(ratio) pow(ratio,(double) (1.0/(weighting_exponent-1.0)));
#endif
#define Tau 5.2f
/*
Typedef declarations.
*/
typedef struct _ExtentPacket
{
double
center;
ssize_t
index,
left,
right;
} ExtentPacket;
typedef struct _Cluster
{
struct _Cluster
*next;
ExtentPacket
red,
green,
blue;
ssize_t
count,
id;
} Cluster;
typedef struct _IntervalTree
{
double
tau;
ssize_t
left,
right;
double
mean_stability,
stability;
struct _IntervalTree
*sibling,
*child;
} IntervalTree;
typedef struct _ZeroCrossing
{
double
tau,
histogram[256];
short
crossings[256];
} ZeroCrossing;
/*
Constant declarations.
*/
static const int
Blue = 2,
Green = 1,
Red = 0,
SafeMargin = 3,
TreeLength = 600;
/*
Method prototypes.
*/
static double
OptimalTau(const ssize_t *,const double,const double,const double,
const double,short *);
static ssize_t
DefineRegion(const short *,ExtentPacket *);
static void
FreeNodes(IntervalTree *),
InitializeHistogram(const Image *,ssize_t **,ExceptionInfo *),
ScaleSpace(const ssize_t *,const double,double *),
ZeroCrossHistogram(double *,const double,short *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l a s s i f y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Classify() defines one or more classes. Each pixel is thresholded to
% determine which class it belongs to. If the class is not identified it is
% assigned to the closest class based on the fuzzy c-Means technique.
%
% The format of the Classify method is:
%
% MagickBooleanType Classify(Image *image,short **extrema,
% const double cluster_threshold,
% const double weighting_exponent,
% const MagickBooleanType verbose,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o extrema: Specifies a pointer to an array of integers. They
% represent the peaks and valleys of the histogram for each color
% component.
%
% o cluster_threshold: This double represents the minimum number of
% pixels contained in a hexahedra before it can be considered valid
% (expressed as a percentage).
%
% o weighting_exponent: Specifies the membership weighting exponent.
%
% o verbose: A value greater than zero prints detailed information about
% the identified classes.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType Classify(Image *image,short **extrema,
const double cluster_threshold,
const double weighting_exponent,const MagickBooleanType verbose,
ExceptionInfo *exception)
{
#define SegmentImageTag "Segment/Image"
#define ThrowClassifyException(severity,tag,label) \
{\
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster) \
{ \
next_cluster=cluster->next; \
cluster=(Cluster *) RelinquishMagickMemory(cluster); \
} \
if (squares != (double *) NULL) \
{ \
squares-=255; \
free_squares=squares; \
free_squares=(double *) RelinquishMagickMemory(free_squares); \
} \
ThrowBinaryException(severity,tag,label); \
}
CacheView
*image_view;
Cluster
*cluster,
*head,
*last_cluster,
*next_cluster;
ExtentPacket
blue,
green,
red;
MagickOffsetType
progress;
double
*free_squares;
MagickStatusType
status;
register ssize_t
i;
register double
*squares;
size_t
number_clusters;
ssize_t
count,
y;
/*
Form clusters.
*/
cluster=(Cluster *) NULL;
head=(Cluster *) NULL;
squares=(double *) NULL;
(void) memset(&red,0,sizeof(red));
(void) memset(&green,0,sizeof(green));
(void) memset(&blue,0,sizeof(blue));
while (DefineRegion(extrema[Red],&red) != 0)
{
green.index=0;
while (DefineRegion(extrema[Green],&green) != 0)
{
blue.index=0;
while (DefineRegion(extrema[Blue],&blue) != 0)
{
/*
Allocate a new class.
*/
if (head != (Cluster *) NULL)
{
cluster->next=(Cluster *) AcquireQuantumMemory(1,
sizeof(*cluster->next));
cluster=cluster->next;
}
else
{
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
head=cluster;
}
if (cluster == (Cluster *) NULL)
ThrowClassifyException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
}
}
}
if (head == (Cluster *) NULL)
{
/*
No classes were identified-- create one.
*/
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
if (cluster == (Cluster *) NULL)
ThrowClassifyException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
head=cluster;
}
/*
Count the pixels for each cluster.
*/
status=MagickTrue;
count=0;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
if (((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) >=
(cluster->red.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) <=
(cluster->red.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) >=
(cluster->green.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) <=
(cluster->green.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) >=
(cluster->blue.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) <=
(cluster->blue.right+SafeMargin)))
{
/*
Count this pixel.
*/
count++;
cluster->red.center+=(double) ScaleQuantumToChar(
GetPixelRed(image,p));
cluster->green.center+=(double) ScaleQuantumToChar(
GetPixelGreen(image,p));
cluster->blue.center+=(double) ScaleQuantumToChar(
GetPixelBlue(image,p));
cluster->count++;
break;
}
p+=GetPixelChannels(image);
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,SegmentImageTag,progress,2*image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
/*
Remove clusters that do not meet minimum cluster threshold.
*/
count=0;
last_cluster=head;
next_cluster=head;
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
if ((cluster->count > 0) &&
(cluster->count >= (count*cluster_threshold/100.0)))
{
/*
Initialize cluster.
*/
cluster->id=count;
cluster->red.center/=cluster->count;
cluster->green.center/=cluster->count;
cluster->blue.center/=cluster->count;
count++;
last_cluster=cluster;
continue;
}
/*
Delete cluster.
*/
if (cluster == head)
head=next_cluster;
else
last_cluster->next=next_cluster;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
number_clusters=(size_t) count;
if (verbose != MagickFalse)
{
/*
Print cluster statistics.
*/
(void) FormatLocaleFile(thread_stdout,"Fuzzy C-means Statistics\n");
(void) FormatLocaleFile(thread_stdout,"===================\n\n");
(void) FormatLocaleFile(thread_stdout,"\tCluster Threshold = %g\n",(double)
cluster_threshold);
(void) FormatLocaleFile(thread_stdout,"\tWeighting Exponent = %g\n",(double)
weighting_exponent);
(void) FormatLocaleFile(thread_stdout,"\tTotal Number of Clusters = %.20g\n\n",
(double) number_clusters);
/*
Print the total number of points per cluster.
*/
(void) FormatLocaleFile(thread_stdout,"\n\nNumber of Vectors Per Cluster\n");
(void) FormatLocaleFile(thread_stdout,"=============================\n\n");
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
(void) FormatLocaleFile(thread_stdout,"Cluster #%.20g = %.20g\n",(double)
cluster->id,(double) cluster->count);
/*
Print the cluster extents.
*/
(void) FormatLocaleFile(thread_stdout,
"\n\n\nCluster Extents: (Vector Size: %d)\n",MaxDimension);
(void) FormatLocaleFile(thread_stdout,"================");
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
{
(void) FormatLocaleFile(thread_stdout,"\n\nCluster #%.20g\n\n",(double)
cluster->id);
(void) FormatLocaleFile(thread_stdout,
"%.20g-%.20g %.20g-%.20g %.20g-%.20g\n",(double)
cluster->red.left,(double) cluster->red.right,(double)
cluster->green.left,(double) cluster->green.right,(double)
cluster->blue.left,(double) cluster->blue.right);
}
/*
Print the cluster center values.
*/
(void) FormatLocaleFile(thread_stdout,
"\n\n\nCluster Center Values: (Vector Size: %d)\n",MaxDimension);
(void) FormatLocaleFile(thread_stdout,"=====================");
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
{
(void) FormatLocaleFile(thread_stdout,"\n\nCluster #%.20g\n\n",(double)
cluster->id);
(void) FormatLocaleFile(thread_stdout,"%g %g %g\n",(double)
cluster->red.center,(double) cluster->green.center,(double)
cluster->blue.center);
}
(void) FormatLocaleFile(thread_stdout,"\n");
}
if (number_clusters > 256)
ThrowClassifyException(ImageError,"TooManyClusters",image->filename);
/*
Speed up distance calculations.
*/
squares=(double *) AcquireQuantumMemory(513UL,sizeof(*squares));
if (squares == (double *) NULL)
ThrowClassifyException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
squares+=255;
for (i=(-255); i <= 255; i++)
squares[i]=(double) i*(double) i;
/*
Allocate image colormap.
*/
if (AcquireImageColormap(image,number_clusters,exception) == MagickFalse)
ThrowClassifyException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
i=0;
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
{
image->colormap[i].red=(double) ScaleCharToQuantum((unsigned char)
(cluster->red.center+0.5));
image->colormap[i].green=(double) ScaleCharToQuantum((unsigned char)
(cluster->green.center+0.5));
image->colormap[i].blue=(double) ScaleCharToQuantum((unsigned char)
(cluster->blue.center+0.5));
i++;
}
/*
Do course grain classes.
*/
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
Cluster
*clust;
register const PixelInfo
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelIndex(image,(Quantum) 0,q);
for (clust=head; clust != (Cluster *) NULL; clust=clust->next)
{
if (((ssize_t) ScaleQuantumToChar(GetPixelRed(image,q)) >=
(clust->red.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelRed(image,q)) <=
(clust->red.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,q)) >=
(clust->green.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,q)) <=
(clust->green.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,q)) >=
(clust->blue.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,q)) <=
(clust->blue.right+SafeMargin)))
{
/*
Classify this pixel.
*/
SetPixelIndex(image,(Quantum) clust->id,q);
break;
}
}
if (clust == (Cluster *) NULL)
{
double
distance_squared,
local_minima,
numerator,
ratio,
sum;
register ssize_t
j,
k;
/*
Compute fuzzy membership.
*/
local_minima=0.0;
for (j=0; j < (ssize_t) image->colors; j++)
{
sum=0.0;
p=image->colormap+j;
distance_squared=squares[(ssize_t) ScaleQuantumToChar(
GetPixelRed(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->red))]+squares[(ssize_t)
ScaleQuantumToChar(GetPixelGreen(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->green))]+squares[(ssize_t)
ScaleQuantumToChar(GetPixelBlue(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->blue))];
numerator=distance_squared;
for (k=0; k < (ssize_t) image->colors; k++)
{
p=image->colormap+k;
distance_squared=squares[(ssize_t) ScaleQuantumToChar(
GetPixelRed(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->red))]+squares[
(ssize_t) ScaleQuantumToChar(GetPixelGreen(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->green))]+squares[
(ssize_t) ScaleQuantumToChar(GetPixelBlue(image,q))-(ssize_t)
ScaleQuantumToChar(ClampToQuantum(p->blue))];
ratio=numerator/distance_squared;
sum+=SegmentPower(ratio);
}
if ((sum != 0.0) && ((1.0/sum) > local_minima))
{
/*
Classify this pixel.
*/
local_minima=1.0/sum;
SetPixelIndex(image,(Quantum) j,q);
}
}
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,SegmentImageTag,progress,2*image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
status&=SyncImage(image,exception);
/*
Relinquish resources.
*/
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
squares-=255;
free_squares=squares;
free_squares=(double *) RelinquishMagickMemory(free_squares);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C o n s o l i d a t e C r o s s i n g s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConsolidateCrossings() guarantees that an even number of zero crossings
% always lie between two crossings.
%
% The format of the ConsolidateCrossings method is:
%
% ConsolidateCrossings(ZeroCrossing *zero_crossing,
% const size_t number_crossings)
%
% A description of each parameter follows.
%
% o zero_crossing: Specifies an array of structures of type ZeroCrossing.
%
% o number_crossings: This size_t specifies the number of elements
% in the zero_crossing array.
%
*/
static void ConsolidateCrossings(ZeroCrossing *zero_crossing,
const size_t number_crossings)
{
register ssize_t
i,
j,
k,
l;
ssize_t
center,
correct,
count,
left,
right;
/*
Consolidate zero crossings.
*/
for (i=(ssize_t) number_crossings-1; i >= 0; i--)
for (j=0; j <= 255; j++)
{
if (zero_crossing[i].crossings[j] == 0)
continue;
/*
Find the entry that is closest to j and still preserves the
property that there are an even number of crossings between
intervals.
*/
for (k=j-1; k > 0; k--)
if (zero_crossing[i+1].crossings[k] != 0)
break;
left=MagickMax(k,0);
center=j;
for (k=j+1; k < 255; k++)
if (zero_crossing[i+1].crossings[k] != 0)
break;
right=MagickMin(k,255);
/*
K is the zero crossing just left of j.
*/
for (k=j-1; k > 0; k--)
if (zero_crossing[i].crossings[k] != 0)
break;
if (k < 0)
k=0;
/*
Check center for an even number of crossings between k and j.
*/
correct=(-1);
if (zero_crossing[i+1].crossings[j] != 0)
{
count=0;
for (l=k+1; l < center; l++)
if (zero_crossing[i+1].crossings[l] != 0)
count++;
if (((count % 2) == 0) && (center != k))
correct=center;
}
/*
Check left for an even number of crossings between k and j.
*/
if (correct == -1)
{
count=0;
for (l=k+1; l < left; l++)
if (zero_crossing[i+1].crossings[l] != 0)
count++;
if (((count % 2) == 0) && (left != k))
correct=left;
}
/*
Check right for an even number of crossings between k and j.
*/
if (correct == -1)
{
count=0;
for (l=k+1; l < right; l++)
if (zero_crossing[i+1].crossings[l] != 0)
count++;
if (((count % 2) == 0) && (right != k))
correct=right;
}
l=(ssize_t) zero_crossing[i].crossings[j];
zero_crossing[i].crossings[j]=0;
if (correct != -1)
zero_crossing[i].crossings[correct]=(short) l;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e f i n e R e g i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DefineRegion() defines the left and right boundaries of a peak region.
%
% The format of the DefineRegion method is:
%
% ssize_t DefineRegion(const short *extrema,ExtentPacket *extents)
%
% A description of each parameter follows.
%
% o extrema: Specifies a pointer to an array of integers. They
% represent the peaks and valleys of the histogram for each color
% component.
%
% o extents: This pointer to an ExtentPacket represent the extends
% of a particular peak or valley of a color component.
%
*/
static ssize_t DefineRegion(const short *extrema,ExtentPacket *extents)
{
/*
Initialize to default values.
*/
extents->left=0;
extents->center=0.0;
extents->right=255;
/*
Find the left side (maxima).
*/
for ( ; extents->index <= 255; extents->index++)
if (extrema[extents->index] > 0)
break;
if (extents->index > 255)
return(MagickFalse); /* no left side - no region exists */
extents->left=extents->index;
/*
Find the right side (minima).
*/
for ( ; extents->index <= 255; extents->index++)
if (extrema[extents->index] < 0)
break;
extents->right=extents->index-1;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e r i v a t i v e H i s t o g r a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DerivativeHistogram() determines the derivative of the histogram using
% central differencing.
%
% The format of the DerivativeHistogram method is:
%
% DerivativeHistogram(const double *histogram,
% double *derivative)
%
% A description of each parameter follows.
%
% o histogram: Specifies an array of doubles representing the number
% of pixels for each intensity of a particular color component.
%
% o derivative: This array of doubles is initialized by
% DerivativeHistogram to the derivative of the histogram using central
% differencing.
%
*/
static void DerivativeHistogram(const double *histogram,
double *derivative)
{
register ssize_t
i,
n;
/*
Compute endpoints using second order polynomial interpolation.
*/
n=255;
derivative[0]=(-1.5*histogram[0]+2.0*histogram[1]-0.5*histogram[2]);
derivative[n]=(0.5*histogram[n-2]-2.0*histogram[n-1]+1.5*histogram[n]);
/*
Compute derivative using central differencing.
*/
for (i=1; i < n; i++)
derivative[i]=(histogram[i+1]-histogram[i-1])/2.0;
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e D y n a m i c T h r e s h o l d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageDynamicThreshold() returns the dynamic threshold for an image.
%
% The format of the GetImageDynamicThreshold method is:
%
% MagickBooleanType GetImageDynamicThreshold(const Image *image,
% const double cluster_threshold,const double smooth_threshold,
% PixelInfo *pixel,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cluster_threshold: This double represents the minimum number of
% pixels contained in a hexahedra before it can be considered valid
% (expressed as a percentage).
%
% o smooth_threshold: the smoothing threshold eliminates noise in the second
% derivative of the histogram. As the value is increased, you can expect a
% smoother second derivative.
%
% o pixel: return the dynamic threshold here.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageDynamicThreshold(const Image *image,
const double cluster_threshold,const double smooth_threshold,
PixelInfo *pixel,ExceptionInfo *exception)
{
Cluster
*background,
*cluster,
*object,
*head,
*last_cluster,
*next_cluster;
ExtentPacket
blue,
green,
red;
MagickBooleanType
proceed;
double
threshold;
register const Quantum
*p;
register ssize_t
i,
x;
short
*extrema[MaxDimension];
ssize_t
count,
*histogram[MaxDimension],
y;
/*
Allocate histogram and extrema.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
GetPixelInfo(image,pixel);
for (i=0; i < MaxDimension; i++)
{
histogram[i]=(ssize_t *) AcquireQuantumMemory(256UL,sizeof(**histogram));
extrema[i]=(short *) AcquireQuantumMemory(256UL,sizeof(**histogram));
if ((histogram[i] == (ssize_t *) NULL) || (extrema[i] == (short *) NULL))
{
for (i-- ; i >= 0; i--)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
}
/*
Initialize histogram.
*/
InitializeHistogram(image,histogram,exception);
(void) OptimalTau(histogram[Red],Tau,0.2f,DeltaTau,
(smooth_threshold == 0.0f ? 1.0f : smooth_threshold),extrema[Red]);
(void) OptimalTau(histogram[Green],Tau,0.2f,DeltaTau,
(smooth_threshold == 0.0f ? 1.0f : smooth_threshold),extrema[Green]);
(void) OptimalTau(histogram[Blue],Tau,0.2f,DeltaTau,
(smooth_threshold == 0.0f ? 1.0f : smooth_threshold),extrema[Blue]);
/*
Form clusters.
*/
cluster=(Cluster *) NULL;
head=(Cluster *) NULL;
(void) memset(&red,0,sizeof(red));
(void) memset(&green,0,sizeof(green));
(void) memset(&blue,0,sizeof(blue));
while (DefineRegion(extrema[Red],&red) != 0)
{
green.index=0;
while (DefineRegion(extrema[Green],&green) != 0)
{
blue.index=0;
while (DefineRegion(extrema[Blue],&blue) != 0)
{
/*
Allocate a new class.
*/
if (head != (Cluster *) NULL)
{
cluster->next=(Cluster *) AcquireQuantumMemory(1,
sizeof(*cluster->next));
cluster=cluster->next;
}
else
{
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
head=cluster;
}
if (cluster == (Cluster *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
image->filename);
return(MagickFalse);
}
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
}
}
}
if (head == (Cluster *) NULL)
{
/*
No classes were identified-- create one.
*/
cluster=(Cluster *) AcquireMagickMemory(sizeof(*cluster));
if (cluster == (Cluster *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
/*
Initialize a new class.
*/
cluster->count=0;
cluster->red=red;
cluster->green=green;
cluster->blue=blue;
cluster->next=(Cluster *) NULL;
head=cluster;
}
/*
Count the pixels for each cluster.
*/
count=0;
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
for (cluster=head; cluster != (Cluster *) NULL; cluster=cluster->next)
if (((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) >=
(cluster->red.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelRed(image,p)) <=
(cluster->red.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) >=
(cluster->green.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p)) <=
(cluster->green.right+SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) >=
(cluster->blue.left-SafeMargin)) &&
((ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p)) <=
(cluster->blue.right+SafeMargin)))
{
/*
Count this pixel.
*/
count++;
cluster->red.center+=(double) ScaleQuantumToChar(
GetPixelRed(image,p));
cluster->green.center+=(double) ScaleQuantumToChar(
GetPixelGreen(image,p));
cluster->blue.center+=(double) ScaleQuantumToChar(
GetPixelBlue(image,p));
cluster->count++;
break;
}
p+=GetPixelChannels(image);
}
proceed=SetImageProgress(image,SegmentImageTag,(MagickOffsetType) y,
2*image->rows);
if (proceed == MagickFalse)
break;
}
/*
Remove clusters that do not meet minimum cluster threshold.
*/
count=0;
last_cluster=head;
next_cluster=head;
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
if ((cluster->count > 0) &&
(cluster->count >= (count*cluster_threshold/100.0)))
{
/*
Initialize cluster.
*/
cluster->id=count;
cluster->red.center/=cluster->count;
cluster->green.center/=cluster->count;
cluster->blue.center/=cluster->count;
count++;
last_cluster=cluster;
continue;
}
/*
Delete cluster.
*/
if (cluster == head)
head=next_cluster;
else
last_cluster->next=next_cluster;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
object=head;
background=head;
if (count > 1)
{
object=head->next;
for (cluster=object; cluster->next != (Cluster *) NULL; )
{
if (cluster->count < object->count)
object=cluster;
cluster=cluster->next;
}
background=head->next;
for (cluster=background; cluster->next != (Cluster *) NULL; )
{
if (cluster->count > background->count)
background=cluster;
cluster=cluster->next;
}
}
if (background != (Cluster *) NULL)
{
threshold=(background->red.center+object->red.center)/2.0;
pixel->red=(double) ScaleCharToQuantum((unsigned char)
(threshold+0.5));
threshold=(background->green.center+object->green.center)/2.0;
pixel->green=(double) ScaleCharToQuantum((unsigned char)
(threshold+0.5));
threshold=(background->blue.center+object->blue.center)/2.0;
pixel->blue=(double) ScaleCharToQuantum((unsigned char)
(threshold+0.5));
}
/*
Relinquish resources.
*/
for (cluster=head; cluster != (Cluster *) NULL; cluster=next_cluster)
{
next_cluster=cluster->next;
cluster=(Cluster *) RelinquishMagickMemory(cluster);
}
for (i=0; i < MaxDimension; i++)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ I n i t i a l i z e H i s t o g r a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InitializeHistogram() computes the histogram for an image.
%
% The format of the InitializeHistogram method is:
%
% InitializeHistogram(const Image *image,ssize_t **histogram)
%
% A description of each parameter follows.
%
% o image: Specifies a pointer to an Image structure; returned from
% ReadImage.
%
% o histogram: Specifies an array of integers representing the number
% of pixels for each intensity of a particular color component.
%
*/
static void InitializeHistogram(const Image *image,ssize_t **histogram,
ExceptionInfo *exception)
{
register const Quantum
*p;
register ssize_t
i,
x;
ssize_t
y;
/*
Initialize histogram.
*/
for (i=0; i <= 255; i++)
{
histogram[Red][i]=0;
histogram[Green][i]=0;
histogram[Blue][i]=0;
}
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
histogram[Red][(ssize_t) ScaleQuantumToChar(GetPixelRed(image,p))]++;
histogram[Green][(ssize_t) ScaleQuantumToChar(GetPixelGreen(image,p))]++;
histogram[Blue][(ssize_t) ScaleQuantumToChar(GetPixelBlue(image,p))]++;
p+=GetPixelChannels(image);
}
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ I n i t i a l i z e I n t e r v a l T r e e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InitializeIntervalTree() initializes an interval tree from the lists of
% zero crossings.
%
% The format of the InitializeIntervalTree method is:
%
% InitializeIntervalTree(IntervalTree **list,ssize_t *number_nodes,
% IntervalTree *node)
%
% A description of each parameter follows.
%
% o zero_crossing: Specifies an array of structures of type ZeroCrossing.
%
% o number_crossings: This size_t specifies the number of elements
% in the zero_crossing array.
%
*/
static void InitializeList(IntervalTree **list,ssize_t *number_nodes,
IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
if (node->child == (IntervalTree *) NULL)
list[(*number_nodes)++]=node;
InitializeList(list,number_nodes,node->sibling);
InitializeList(list,number_nodes,node->child);
}
static void MeanStability(IntervalTree *node)
{
register IntervalTree
*child;
if (node == (IntervalTree *) NULL)
return;
node->mean_stability=0.0;
child=node->child;
if (child != (IntervalTree *) NULL)
{
register ssize_t
count;
register double
sum;
sum=0.0;
count=0;
for ( ; child != (IntervalTree *) NULL; child=child->sibling)
{
sum+=child->stability;
count++;
}
node->mean_stability=sum/(double) count;
}
MeanStability(node->sibling);
MeanStability(node->child);
}
static void Stability(IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
if (node->child == (IntervalTree *) NULL)
node->stability=0.0;
else
node->stability=node->tau-(node->child)->tau;
Stability(node->sibling);
Stability(node->child);
}
static IntervalTree *InitializeIntervalTree(const ZeroCrossing *zero_crossing,
const size_t number_crossings)
{
IntervalTree
*head,
**list,
*node,
*root;
register ssize_t
i;
ssize_t
j,
k,
left,
number_nodes;
/*
Allocate interval tree.
*/
list=(IntervalTree **) AcquireQuantumMemory((size_t) TreeLength,
sizeof(*list));
if (list == (IntervalTree **) NULL)
return((IntervalTree *) NULL);
/*
The root is the entire histogram.
*/
root=(IntervalTree *) AcquireCriticalMemory(sizeof(*root));
root->child=(IntervalTree *) NULL;
root->sibling=(IntervalTree *) NULL;
root->tau=0.0;
root->left=0;
root->right=255;
root->mean_stability=0.0;
root->stability=0.0;
(void) memset(list,0,TreeLength*sizeof(*list));
for (i=(-1); i < (ssize_t) number_crossings; i++)
{
/*
Initialize list with all nodes with no children.
*/
number_nodes=0;
InitializeList(list,&number_nodes,root);
/*
Split list.
*/
for (j=0; j < number_nodes; j++)
{
head=list[j];
left=head->left;
node=head;
for (k=head->left+1; k < head->right; k++)
{
if (zero_crossing[i+1].crossings[k] != 0)
{
if (node == head)
{
node->child=(IntervalTree *) AcquireQuantumMemory(1,
sizeof(*node->child));
node=node->child;
}
else
{
node->sibling=(IntervalTree *) AcquireQuantumMemory(1,
sizeof(*node->sibling));
node=node->sibling;
}
if (node == (IntervalTree *) NULL)
{
list=(IntervalTree **) RelinquishMagickMemory(list);
FreeNodes(root);
return((IntervalTree *) NULL);
}
node->tau=zero_crossing[i+1].tau;
node->child=(IntervalTree *) NULL;
node->sibling=(IntervalTree *) NULL;
node->left=left;
node->right=k;
left=k;
}
}
if (left != head->left)
{
node->sibling=(IntervalTree *) AcquireQuantumMemory(1,
sizeof(*node->sibling));
node=node->sibling;
if (node == (IntervalTree *) NULL)
{
list=(IntervalTree **) RelinquishMagickMemory(list);
FreeNodes(root);
return((IntervalTree *) NULL);
}
node->tau=zero_crossing[i+1].tau;
node->child=(IntervalTree *) NULL;
node->sibling=(IntervalTree *) NULL;
node->left=left;
node->right=head->right;
}
}
}
/*
Determine the stability: difference between a nodes tau and its child.
*/
Stability(root->child);
MeanStability(root->child);
list=(IntervalTree **) RelinquishMagickMemory(list);
return(root);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ O p t i m a l T a u %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OptimalTau() finds the optimal tau for each band of the histogram.
%
% The format of the OptimalTau method is:
%
% double OptimalTau(const ssize_t *histogram,const double max_tau,
% const double min_tau,const double delta_tau,
% const double smooth_threshold,short *extrema)
%
% A description of each parameter follows.
%
% o histogram: Specifies an array of integers representing the number
% of pixels for each intensity of a particular color component.
%
% o extrema: Specifies a pointer to an array of integers. They
% represent the peaks and valleys of the histogram for each color
% component.
%
*/
static void ActiveNodes(IntervalTree **list,ssize_t *number_nodes,
IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
if (node->stability >= node->mean_stability)
{
list[(*number_nodes)++]=node;
ActiveNodes(list,number_nodes,node->sibling);
}
else
{
ActiveNodes(list,number_nodes,node->sibling);
ActiveNodes(list,number_nodes,node->child);
}
}
static void FreeNodes(IntervalTree *node)
{
if (node == (IntervalTree *) NULL)
return;
FreeNodes(node->sibling);
FreeNodes(node->child);
node=(IntervalTree *) RelinquishMagickMemory(node);
}
static double OptimalTau(const ssize_t *histogram,const double max_tau,
const double min_tau,const double delta_tau,const double smooth_threshold,
short *extrema)
{
IntervalTree
**list,
*node,
*root;
MagickBooleanType
peak;
double
average_tau,
*derivative,
*second_derivative,
tau,
value;
register ssize_t
i,
x;
size_t
count,
number_crossings;
ssize_t
index,
j,
k,
number_nodes;
ZeroCrossing
*zero_crossing;
/*
Allocate interval tree.
*/
list=(IntervalTree **) AcquireQuantumMemory((size_t) TreeLength,
sizeof(*list));
if (list == (IntervalTree **) NULL)
return(0.0);
/*
Allocate zero crossing list.
*/
count=(size_t) ((max_tau-min_tau)/delta_tau)+2;
zero_crossing=(ZeroCrossing *) AcquireQuantumMemory((size_t) count,
sizeof(*zero_crossing));
if (zero_crossing == (ZeroCrossing *) NULL)
{
list=(IntervalTree **) RelinquishMagickMemory(list);
return(0.0);
}
for (i=0; i < (ssize_t) count; i++)
zero_crossing[i].tau=(-1.0);
/*
Initialize zero crossing list.
*/
derivative=(double *) AcquireCriticalMemory(256*sizeof(*derivative));
second_derivative=(double *) AcquireCriticalMemory(256*
sizeof(*second_derivative));
i=0;
for (tau=max_tau; tau >= min_tau; tau-=delta_tau)
{
zero_crossing[i].tau=tau;
ScaleSpace(histogram,tau,zero_crossing[i].histogram);
DerivativeHistogram(zero_crossing[i].histogram,derivative);
DerivativeHistogram(derivative,second_derivative);
ZeroCrossHistogram(second_derivative,smooth_threshold,
zero_crossing[i].crossings);
i++;
}
/*
Add an entry for the original histogram.
*/
zero_crossing[i].tau=0.0;
for (j=0; j <= 255; j++)
zero_crossing[i].histogram[j]=(double) histogram[j];
DerivativeHistogram(zero_crossing[i].histogram,derivative);
DerivativeHistogram(derivative,second_derivative);
ZeroCrossHistogram(second_derivative,smooth_threshold,
zero_crossing[i].crossings);
number_crossings=(size_t) i;
derivative=(double *) RelinquishMagickMemory(derivative);
second_derivative=(double *) RelinquishMagickMemory(second_derivative);
/*
Ensure the scale-space fingerprints form lines in scale-space, not loops.
*/
ConsolidateCrossings(zero_crossing,number_crossings);
/*
Force endpoints to be included in the interval.
*/
for (i=0; i <= (ssize_t) number_crossings; i++)
{
for (j=0; j < 255; j++)
if (zero_crossing[i].crossings[j] != 0)
break;
zero_crossing[i].crossings[0]=(-zero_crossing[i].crossings[j]);
for (j=255; j > 0; j--)
if (zero_crossing[i].crossings[j] != 0)
break;
zero_crossing[i].crossings[255]=(-zero_crossing[i].crossings[j]);
}
/*
Initialize interval tree.
*/
root=InitializeIntervalTree(zero_crossing,number_crossings);
if (root == (IntervalTree *) NULL)
{
zero_crossing=(ZeroCrossing *) RelinquishMagickMemory(zero_crossing);
list=(IntervalTree **) RelinquishMagickMemory(list);
return(0.0);
}
/*
Find active nodes: stability is greater (or equal) to the mean stability of
its children.
*/
number_nodes=0;
ActiveNodes(list,&number_nodes,root->child);
/*
Initialize extrema.
*/
for (i=0; i <= 255; i++)
extrema[i]=0;
for (i=0; i < number_nodes; i++)
{
/*
Find this tau in zero crossings list.
*/
k=0;
node=list[i];
for (j=0; j <= (ssize_t) number_crossings; j++)
if (zero_crossing[j].tau == node->tau)
k=j;
/*
Find the value of the peak.
*/
peak=zero_crossing[k].crossings[node->right] == -1 ? MagickTrue :
MagickFalse;
index=node->left;
value=zero_crossing[k].histogram[index];
for (x=node->left; x <= node->right; x++)
{
if (peak != MagickFalse)
{
if (zero_crossing[k].histogram[x] > value)
{
value=zero_crossing[k].histogram[x];
index=x;
}
}
else
if (zero_crossing[k].histogram[x] < value)
{
value=zero_crossing[k].histogram[x];
index=x;
}
}
for (x=node->left; x <= node->right; x++)
{
if (index == 0)
index=256;
if (peak != MagickFalse)
extrema[x]=(short) index;
else
extrema[x]=(short) (-index);
}
}
/*
Determine the average tau.
*/
average_tau=0.0;
for (i=0; i < number_nodes; i++)
average_tau+=list[i]->tau;
average_tau*=PerceptibleReciprocal((double) number_nodes);
/*
Relinquish resources.
*/
FreeNodes(root);
zero_crossing=(ZeroCrossing *) RelinquishMagickMemory(zero_crossing);
list=(IntervalTree **) RelinquishMagickMemory(list);
return(average_tau);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S c a l e S p a c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ScaleSpace() performs a scale-space filter on the 1D histogram.
%
% The format of the ScaleSpace method is:
%
% ScaleSpace(const ssize_t *histogram,const double tau,
% double *scale_histogram)
%
% A description of each parameter follows.
%
% o histogram: Specifies an array of doubles representing the number
% of pixels for each intensity of a particular color component.
%
*/
static void ScaleSpace(const ssize_t *histogram,const double tau,
double *scale_histogram)
{
double
alpha,
beta,
*gamma,
sum;
register ssize_t
u,
x;
gamma=(double *) AcquireQuantumMemory(256,sizeof(*gamma));
if (gamma == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,
"UnableToAllocateGammaMap");
alpha=PerceptibleReciprocal(tau*sqrt(2.0*MagickPI));
beta=(-1.0*PerceptibleReciprocal(2.0*tau*tau));
for (x=0; x <= 255; x++)
gamma[x]=0.0;
for (x=0; x <= 255; x++)
{
gamma[x]=exp((double) beta*x*x);
if (gamma[x] < MagickEpsilon)
break;
}
for (x=0; x <= 255; x++)
{
sum=0.0;
for (u=0; u <= 255; u++)
sum+=(double) histogram[u]*gamma[MagickAbsoluteValue(x-u)];
scale_histogram[x]=alpha*sum;
}
gamma=(double *) RelinquishMagickMemory(gamma);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e g m e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SegmentImage() segment an image by analyzing the histograms of the color
% components and identifying units that are homogeneous with the fuzzy
% C-means technique.
%
% The format of the SegmentImage method is:
%
% MagickBooleanType SegmentImage(Image *image,
% const ColorspaceType colorspace,const MagickBooleanType verbose,
% const double cluster_threshold,const double smooth_threshold,
% ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o colorspace: Indicate the colorspace.
%
% o verbose: Set to MagickTrue to print detailed information about the
% identified classes.
%
% o cluster_threshold: This represents the minimum number of pixels
% contained in a hexahedra before it can be considered valid (expressed
% as a percentage).
%
% o smooth_threshold: the smoothing threshold eliminates noise in the second
% derivative of the histogram. As the value is increased, you can expect a
% smoother second derivative.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SegmentImage(Image *image,
const ColorspaceType colorspace,const MagickBooleanType verbose,
const double cluster_threshold,const double smooth_threshold,
ExceptionInfo *exception)
{
ColorspaceType
previous_colorspace;
MagickBooleanType
status;
register ssize_t
i;
short
*extrema[MaxDimension];
ssize_t
*histogram[MaxDimension];
/*
Allocate histogram and extrema.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
for (i=0; i < MaxDimension; i++)
{
histogram[i]=(ssize_t *) AcquireQuantumMemory(256,sizeof(**histogram));
extrema[i]=(short *) AcquireQuantumMemory(256,sizeof(**extrema));
if ((histogram[i] == (ssize_t *) NULL) || (extrema[i] == (short *) NULL))
{
for (i-- ; i >= 0; i--)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename)
}
}
/*
Initialize histogram.
*/
previous_colorspace=image->colorspace;
(void) TransformImageColorspace(image,colorspace,exception);
InitializeHistogram(image,histogram,exception);
(void) OptimalTau(histogram[Red],Tau,0.2,DeltaTau,
smooth_threshold == 0.0 ? 1.0 : smooth_threshold,extrema[Red]);
(void) OptimalTau(histogram[Green],Tau,0.2,DeltaTau,
smooth_threshold == 0.0 ? 1.0 : smooth_threshold,extrema[Green]);
(void) OptimalTau(histogram[Blue],Tau,0.2,DeltaTau,
smooth_threshold == 0.0 ? 1.0 : smooth_threshold,extrema[Blue]);
/*
Classify using the fuzzy c-Means technique.
*/
status=Classify(image,extrema,cluster_threshold,WeightingExponent,verbose,
exception);
(void) TransformImageColorspace(image,previous_colorspace,exception);
/*
Relinquish resources.
*/
for (i=0; i < MaxDimension; i++)
{
extrema[i]=(short *) RelinquishMagickMemory(extrema[i]);
histogram[i]=(ssize_t *) RelinquishMagickMemory(histogram[i]);
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ Z e r o C r o s s H i s t o g r a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ZeroCrossHistogram() find the zero crossings in a histogram and marks
% directions as: 1 is negative to positive; 0 is zero crossing; and -1
% is positive to negative.
%
% The format of the ZeroCrossHistogram method is:
%
% ZeroCrossHistogram(double *second_derivative,
% const double smooth_threshold,short *crossings)
%
% A description of each parameter follows.
%
% o second_derivative: Specifies an array of doubles representing the
% second derivative of the histogram of a particular color component.
%
% o crossings: This array of integers is initialized with
% -1, 0, or 1 representing the slope of the first derivative of the
% of a particular color component.
%
*/
static void ZeroCrossHistogram(double *second_derivative,
const double smooth_threshold,short *crossings)
{
register ssize_t
i;
ssize_t
parity;
/*
Merge low numbers to zero to help prevent noise.
*/
for (i=0; i <= 255; i++)
if ((second_derivative[i] < smooth_threshold) &&
(second_derivative[i] >= -smooth_threshold))
second_derivative[i]=0.0;
/*
Mark zero crossings.
*/
parity=0;
for (i=0; i <= 255; i++)
{
crossings[i]=0;
if (second_derivative[i] < 0.0)
{
if (parity > 0)
crossings[i]=(-1);
parity=1;
}
else
if (second_derivative[i] > 0.0)
{
if (parity < 0)
crossings[i]=1;
parity=(-1);
}
}
}
|
GB_binop__lt_int16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__lt_int16
// A.*B function (eWiseMult): GB_AemultB__lt_int16
// A*D function (colscale): GB_AxD__lt_int16
// D*A function (rowscale): GB_DxB__lt_int16
// C+=B function (dense accum): GB_Cdense_accumB__lt_int16
// C+=b function (dense accum): GB_Cdense_accumb__lt_int16
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__lt_int16
// C=scalar+B GB_bind1st__lt_int16
// C=scalar+B' GB_bind1st_tran__lt_int16
// C=A+scalar GB_bind2nd__lt_int16
// C=A'+scalar GB_bind2nd_tran__lt_int16
// C type: bool
// A type: int16_t
// B,b type: int16_t
// BinaryOp: cij = (aij < bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int16_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (x < y) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LT || GxB_NO_INT16 || GxB_NO_LT_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__lt_int16
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__lt_int16
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__lt_int16
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__lt_int16
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *GB_RESTRICT Cx = (bool *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__lt_int16
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *GB_RESTRICT Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
#undef GB_FREE_ALL
#define GB_FREE_ALL \
{ \
GB_ek_slice_free (&pstart_Mslice, &kfirst_Mslice, &klast_Mslice) ; \
GB_ek_slice_free (&pstart_Aslice, &kfirst_Aslice, &klast_Aslice) ; \
GB_ek_slice_free (&pstart_Bslice, &kfirst_Bslice, &klast_Bslice) ; \
}
GrB_Info GB_AaddB__lt_int16
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_add_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__lt_int16
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__lt_int16
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *GB_RESTRICT Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = Bx [p] ;
Cx [p] = (x < bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB_bind2nd__lt_int16
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *GB_RESTRICT Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = Ax [p] ;
Cx [p] = (aij < y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (x < aij) ; \
}
GrB_Info GB_bind1st_tran__lt_int16
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (aij < y) ; \
}
GrB_Info GB_bind2nd_tran__lt_int16
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
calculate_embedded_signed_distance_to_3d_skin_process.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ `
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Pooyan Dadvand
// Ruben Zorrilla
// Daniel Baumgaertner
// Johannes Wolf
//
#if !defined(KRATOS_CALCULATE_EMBEDDED_SIGNED_DISTANCE_TO_3D_SKIN_PROCESS_H_INCLUDED )
#define KRATOS_CALCULATE_EMBEDDED_SIGNED_DISTANCE_TO_3D_SKIN_PROCESS_H_INCLUDED
// System includes
#include <string>
#include <iostream>
#include <algorithm>
// External includes
#include "includes/kratos_flags.h"
// Project includes
#include "includes/define.h"
#include "processes/process.h"
#include "includes/kratos_flags.h"
#include "includes/element.h"
#include "includes/model_part.h"
#include "geometries/geometry_data.h"
#include "utilities/openmp_utils.h"
namespace Kratos {
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
/// Short class definition.
class CalculateEmbeddedSignedDistanceTo3DSkinProcess : public Process
{
public:
///@name Type Definitions
///@{
///@}
///@name Pointer Definitions
/// Pointer definition of CalculateEmbeddedSignedDistanceTo3DSkinProcess
KRATOS_CLASS_POINTER_DEFINITION(CalculateEmbeddedSignedDistanceTo3DSkinProcess);
///@}
///@name Life Cycle
///@{
CalculateEmbeddedSignedDistanceTo3DSkinProcess(ModelPart& rThisModelPartStruc, ModelPart& rThisModelPartFluid, bool DiscontinuousDistance = false)
: mrSkinModelPart(rThisModelPartStruc), mrFluidModelPart(rThisModelPartFluid), mDiscontinuousDistance(DiscontinuousDistance)
{
}
/// Destructor.
~CalculateEmbeddedSignedDistanceTo3DSkinProcess() override
{
}
///@}
///@name Operators
///@{
void operator()()
{
Execute();
}
///@}
///@name Operations
///@{
void Execute() override
{
// Create a pointer to the discontinuous or continuos distance calculation process
CalculateDiscontinuousDistanceToSkinProcess<3>::Pointer pdistance_calculator;
if(mDiscontinuousDistance)
{
pdistance_calculator = CalculateDiscontinuousDistanceToSkinProcess<3>::Pointer(
new CalculateDiscontinuousDistanceToSkinProcess<3>(mrFluidModelPart, mrSkinModelPart));
}
else
{
pdistance_calculator = CalculateDiscontinuousDistanceToSkinProcess<3>::Pointer(
new CalculateDistanceToSkinProcess<3>(mrFluidModelPart, mrSkinModelPart));
}
// Call the distance calculator methods
pdistance_calculator->Initialize();
pdistance_calculator->FindIntersections();
pdistance_calculator->CalculateDistances(pdistance_calculator->GetIntersections());
// TODO: Raycasting
// Distance positive and negative peak values correction
this->PeakValuesCorrection(); //TODO: Check the correct behaviour of this method once the raycasting has been implemented
// Compute the embedded velocity
this->CalculateEmbeddedVelocity(pdistance_calculator->GetIntersections());
// Call the distance calculation Clear() to delete the intersection data
pdistance_calculator->Clear();
}
void Clear() override
{
}
///@}
///@name Access
///@{
///@}
///@name Inquiry
///@{
///@}
///@name Input and output
///@{
/// Turn back information as a string.
std::string Info() const override
{
return "CalculateEmbeddedSignedDistanceTo3DSkinProcess";
}
/// Print information about this object.
void PrintInfo(std::ostream& rOStream) const override
{
rOStream << "CalculateEmbeddedSignedDistanceTo3DSkinProcess";
}
/// Print object's data.
void PrintData(std::ostream& rOStream) const override
{
}
///@}
///@name Friends
///@{
///@}
protected:
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
void CalculateEmbeddedVelocity(std::vector<PointerVector<GeometricalObject>>& rIntersectedObjects)
{
const array_1d<double, 3> aux_zero = ZeroVector(3);
// #pragma omp parallel for firstprivate(aux_zero)
for (int k = 0; k < static_cast<int>(mrFluidModelPart.NumberOfElements()); ++k)
{
ModelPart::ElementsContainerType::iterator itFluidElement = mrFluidModelPart.ElementsBegin() + k;
const PointerVector<GeometricalObject>& intersected_skin_elems = rIntersectedObjects[k];
// Initialize the element EMBEDDED_VELOCITY
itFluidElement->SetValue(EMBEDDED_VELOCITY, aux_zero);
// Accumulate the VELOCITY from all the structure conditions that intersect the element
unsigned int intersection_counter = 0;
for(auto itSkinElement : intersected_skin_elems)
{
array_1d<double,3> emb_vel = (itSkinElement.GetGeometry()[0]).GetSolutionStepValue(VELOCITY);
emb_vel += (itSkinElement.GetGeometry()[1]).GetSolutionStepValue(VELOCITY);
emb_vel += (itSkinElement.GetGeometry()[2]).GetSolutionStepValue(VELOCITY);
itFluidElement->GetValue(EMBEDDED_VELOCITY) += emb_vel/3;
intersection_counter++;
}
// Set the EMBEDDED_VELOCITY as the average of the accumulated values
if (intersection_counter!=0)
{
itFluidElement->GetValue(EMBEDDED_VELOCITY) /= intersection_counter;
}
}
}
void PeakValuesCorrection()
{
// Obtain the maximum and minimum distance values to be set
double max_distance, min_distance;
this->SetMaximumAndMinimumDistanceValues(max_distance, min_distance);
// Bound the distance value in the non splitted nodes
#pragma omp parallel for
for (int k = 0; k < static_cast<int>(mrFluidModelPart.NumberOfNodes()); ++k)
{
ModelPart::NodesContainerType::iterator itFluidNode = mrFluidModelPart.NodesBegin() + k;
if(itFluidNode->IsNot(TO_SPLIT))
{
double& rnode_distance = itFluidNode->FastGetSolutionStepValue(DISTANCE);
rnode_distance = (rnode_distance > 0.0) ? max_distance : min_distance;
}
}
}
void SetMaximumAndMinimumDistanceValues(double& max_distance, double& min_distance)
{
// Flag the nodes belonging to the splitted elements
for (int k = 0; k < static_cast<int>(mrFluidModelPart.NumberOfElements()); ++k)
{
ModelPart::ElementsContainerType::iterator itFluidElement = mrFluidModelPart.ElementsBegin() + k;
if(itFluidElement->Is(TO_SPLIT))
{
Geometry<Node<3>>& rGeom = itFluidElement->GetGeometry();
for (unsigned int i=0; i<rGeom.size(); ++i)
{
rGeom[i].Set(TO_SPLIT, true);
}
}
}
// Obtain the maximum and minimum nodal distance values of the nodes flagged as TO_SPLIT
const unsigned int num_threads = ParallelUtilities::GetNumThreads();
OpenMPUtils::PartitionVector nodes_partition;
OpenMPUtils::DivideInPartitions(mrFluidModelPart.NumberOfNodes(), num_threads, nodes_partition);
std::vector<double> max_distance_vect(num_threads, 1.0);
std::vector<double> min_distance_vect(num_threads, 1.0);
#pragma omp parallel shared(max_distance_vect, min_distance_vect)
{
const int k = OpenMPUtils::ThisThread();
ModelPart::NodeIterator nodes_begin = mrFluidModelPart.NodesBegin() + nodes_partition[k];
ModelPart::NodeIterator nodes_end = mrFluidModelPart.NodesBegin() + nodes_partition[k+1];
double max_local_distance = 1.0;
double min_local_distance = 1.0;
for( ModelPart::NodeIterator itFluidNode = nodes_begin; itFluidNode != nodes_end; ++itFluidNode)
{
if(itFluidNode->Is(TO_SPLIT))
{
const double node_distance = itFluidNode->FastGetSolutionStepValue(DISTANCE);
max_local_distance = (node_distance>max_local_distance) ? node_distance : max_local_distance;
min_local_distance = (node_distance<min_local_distance) ? node_distance : min_local_distance;
}
}
max_distance_vect[k] = max_local_distance;
min_distance_vect[k] = min_local_distance;
}
// Reduce to maximum and minimum the thread results
// Note that MSVC14 does not support max reductions, which are part of OpenMP 3.1
max_distance = max_distance_vect[0];
min_distance = min_distance_vect[0];
for (unsigned int k = 1; k < num_threads; k++)
{
max_distance = (max_distance > max_distance_vect[k]) ? max_distance : max_distance_vect[k];
min_distance = (min_distance < min_distance_vect[k]) ? min_distance : min_distance_vect[k];
}
}
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
private:
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
ModelPart& mrSkinModelPart;
ModelPart& mrFluidModelPart;
bool mDiscontinuousDistance;
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
///@}
///@name Private Access
///@{
///@}
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
/// Assignment operator.
CalculateEmbeddedSignedDistanceTo3DSkinProcess& operator=(CalculateEmbeddedSignedDistanceTo3DSkinProcess const& rOther);
/// Copy constructor.
//CalculateEmbeddedSignedDistanceTo3DSkinProcess(CalculateEmbeddedSignedDistanceTo3DSkinProcess const& rOther);
///@}
}; // Class CalculateEmbeddedSignedDistanceTo3DSkinProcess
///@}
///@name Type Definitions
///@{
///@}
///@name Input and output
///@{
/// input stream function
inline std::istream& operator >> (std::istream& rIStream,
CalculateEmbeddedSignedDistanceTo3DSkinProcess& rThis);
/// output stream function
inline std::ostream& operator << (std::ostream& rOStream,
const CalculateEmbeddedSignedDistanceTo3DSkinProcess& rThis)
{
rThis.PrintInfo(rOStream);
rOStream << std::endl;
rThis.PrintData(rOStream);
return rOStream;
}
///@}
} // namespace Kratos.
#endif // KRATOS_CALCULATE_EMBEDDED_SIGNED_DISTANCE_TO_3D_SKIN_PROCESS_H_INCLUDED defined
|
pr42942.c | /* PR libgomp/42942 */
/* { dg-do run } */
#include <omp.h>
#include <stdlib.h>
int
main (void)
{
int e = 0;
omp_set_dynamic (0);
omp_set_nested (1);
omp_set_max_active_levels (1);
if (omp_get_max_active_levels () != 1)
abort ();
#pragma omp parallel num_threads(2) reduction(|:e)
if (!omp_in_parallel ()
|| omp_get_num_threads () != 2)
e = 1;
else
#pragma omp parallel num_threads(2) reduction(|:e)
if (!omp_in_parallel ()
|| omp_get_num_threads () != 1)
e = 1;
if (e)
abort ();
omp_set_max_active_levels (0);
if (omp_get_max_active_levels () != 0)
abort ();
#pragma omp parallel num_threads(2) reduction(|:e)
if (omp_in_parallel ()
|| omp_get_num_threads () != 1)
e = 1;
else
#pragma omp parallel num_threads(2) reduction(|:e)
if (omp_in_parallel ()
|| omp_get_num_threads () != 1)
e = 1;
if (e)
abort ();
omp_set_max_active_levels (2);
if (omp_get_max_active_levels () != 2)
abort ();
#pragma omp parallel num_threads(2) reduction(|:e)
if (!omp_in_parallel ()
|| omp_get_num_threads () != 2)
e = 1;
else
#pragma omp parallel num_threads(2) reduction(|:e)
if (!omp_in_parallel ()
|| omp_get_num_threads () != 2)
e = 1;
else
#pragma omp parallel num_threads(2) reduction(|:e)
if (!omp_in_parallel ()
|| omp_get_num_threads () != 1)
e = 1;
if (e)
abort ();
return 0;
}
|
GB_unop__cos_fc64_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__cos_fc64_fc64
// op(A') function: GB_unop_tran__cos_fc64_fc64
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = aij
// unaryop: cij = ccos (aij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = ccos (x) ;
// casting
#define GB_CAST(z, aij) \
GxB_FC64_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC64_t z = aij ; \
Cx [pC] = ccos (z) ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_COS || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__cos_fc64_fc64
(
GxB_FC64_t *Cx, // Cx and Ax may be aliased
const GxB_FC64_t *Ax,
const int8_t *GB_RESTRICT Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (GxB_FC64_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = ccos (z) ;
}
#endif
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = ccos (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__cos_fc64_fc64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
triangle_mesh.h | /**
* Copyright (c) 2021 Darius Rückert
* Licensed under the MIT License.
* See LICENSE file for more information.
*/
#pragma once
#include "saiga/core/geometry/aabb.h"
#include "saiga/core/geometry/triangle.h"
#include "saiga/core/geometry/vertex.h"
#include "saiga/core/math/math.h"
#include "saiga/core/util/assert.h"
#include "Mesh.h"
#include <algorithm>
#include <cstring>
#include <numeric>
namespace Saiga
{
/*
* Data structur for simple triangle meshes.
* Can be turned into a IndexedVertexBuffer for drawing with OpenGL
*/
template <typename vertex_t, typename index_t>
class TriangleMesh : public Mesh<vertex_t>
{
public:
using VertexType = vertex_t;
using IndexType = index_t;
using Base = Mesh<vertex_t>;
using Base::aabb;
using Base::addVertex;
using Base::size;
using Base::vertices;
using Face = Vector<IndexType, 3>;
void transformNormal(const mat4& trafo);
/*
* Deletes all vertices and faces.
*/
void clear()
{
Base::clear();
faces.resize(0);
}
/*
* Adds face to mesh.
* The indices of the face should match existing vertices
* return: index of new face
*/
int addFace(const Face& f)
{
faces.push_back(f);
return faces.size() - 1;
}
int addFace(index_t f[3]) { return addFace(Face(f[0], f[1], f[2])); }
int addFace(index_t v0, index_t v1, index_t v2) { return addFace(Face(v0, v1, v2)); }
/*
* Adds given vertices and the 2 corresponding triangles to mesh
*/
void addQuad(vertex_t verts[4]);
void addTriangle(vertex_t verts[3]);
void addTriangle(const Triangle& t);
/*
* Adds 2 Triangles given by 4 vertices and form a quad.
* The vertices should be orderd counter clockwise
*/
void addQuad(index_t inds[4]);
/*
* Subdivides the triangle at index 'face' into 4 triangles.
* The new triangles will be added to the mesh and the old will be overwritten
*/
void subdivideFace(int face);
/*
* Inverts the triangle at index 'face'.
* The order of the indices will be reversed.
*/
void invertFace(int face);
void invertMesh();
/*
* Converts the index face data structur to a simple triangle list.
*/
std::vector<Triangle> toTriangleList() const;
/*
* Adds the complete mesh 'other' to the current mesh.
*/
void addMesh(const TriangleMesh<vertex_t, index_t>& other);
template <typename mesh_vertex_t, typename mesh_index_t>
void addMesh(const TriangleMesh<mesh_vertex_t, mesh_index_t>& other);
/**
* Computes the per vertex normal by weighting each face normal by its surface area.
*/
void computePerVertexNormal();
/**
* Removes all vertices that are not referenced by a triangle.
* Computes the new vertex indices for each triangle.
*/
void removeUnusedVertices();
/**
* Computes the size in bytes for this triangle mesh.
*/
size_t size() const;
void free();
int numIndices() const { return faces.size() * 3; }
bool isValid() const;
bool empty() const { return faces.empty() || vertices.empty(); }
/**
* Sorts the vertices by (x,y,z) lexical.
* The face indices are correct to match the new vertices.
*/
void sortVerticesByPosition(double epsilon = 1e-5);
/**
* Removes subsequent vertices if they have identical position.
* It make sense to call it after 'sortVerticesByPosition'.
*
* The face indices are updated accordingly.
*/
void removeSubsequentDuplicates(double epsilon = 1e-5);
/**
* Removes all triangles, which reference a vertex twice
*/
void removeDegenerateFaces();
float distancePointMesh(const vec3& x);
template <typename v, typename i>
friend std::ostream& operator<<(std::ostream& os, const TriangleMesh<v, i>& dt);
std::vector<index_t> getIndexList() const
{
std::vector<index_t> indices(numIndices());
std::copy(&faces[0](0), &faces[0](0) + numIndices(), indices.data());
return indices;
}
/**
* Writes this mesh in OFF format to the given output stream.
*/
// void saveMeshOff(std::ostream& strm) const;
// void saveMeshOffColor(std::ostream& strm) const;
public:
// std::vector<vertex_t> vertices;
std::vector<Face> faces;
};
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::transformNormal(const mat4& trafo)
{
for (vertex_t& v : vertices)
{
vec4 p = make_vec4(make_vec3(v.normal), 0);
p = trafo * p;
v.normal = make_vec4(make_vec3(p), v.normal[3]);
}
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::addQuad(vertex_t verts[])
{
int index = vertices.size();
for (int i = 0; i < 4; i++)
{
addVertex(verts[i]);
}
faces.push_back(Face(index, index + 1, index + 2));
faces.push_back(Face(index, index + 2, index + 3));
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::addTriangle(vertex_t verts[])
{
int index = vertices.size();
for (int i = 0; i < 3; i++)
{
addVertex(verts[i]);
}
faces.push_back(Face(index, index + 1, index + 2));
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::addTriangle(const Triangle& t)
{
vertex_t ts[3];
ts[0].position = make_vec4(t.a, 1);
ts[1].position = make_vec4(t.b, 1);
ts[2].position = make_vec4(t.c, 1);
addTriangle(ts);
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::addQuad(index_t inds[])
{
faces.push_back(Face(inds[0], inds[1], inds[2]));
faces.push_back(Face(inds[2], inds[3], inds[0]));
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::subdivideFace(int f)
{
Face face = faces[f];
// create 3 new vertices in the middle of the edges
auto p1 = vertices[face(0)].position;
auto p2 = vertices[face(1)].position;
auto p3 = vertices[face(2)].position;
int v1 = addVertex(vertex_t(vec4((p1 + p2) / 2.0f)));
int v2 = addVertex(vertex_t(vec4((p1 + p3) / 2.0f)));
int v3 = addVertex(vertex_t(vec4((p2 + p3) / 2.0f)));
faces.push_back(Face(face(1), v3, v1));
faces.push_back(Face(face(2), v2, v3));
faces.push_back(Face(v1, v3, v2));
faces[f] = Face(face(0), v1, v2);
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::invertFace(int f)
{
Face& face = faces[f];
Face face2;
face2(0) = face(2);
face2(1) = face(1);
face2(2) = face(0);
face = face2;
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::invertMesh()
{
for (Face& face : faces)
{
Face face2;
face2(0) = face(2);
face2(1) = face(1);
face2(2) = face(0);
face = face2;
}
for (vertex_t& v : vertices)
{
v.normal = -v.normal;
}
}
template <typename vertex_t, typename index_t>
std::vector<Triangle> TriangleMesh<vertex_t, index_t>::toTriangleList() const
{
std::vector<Triangle> output;
Triangle t;
for (const Face& f : faces)
{
t.a = make_vec3(vertices[f(0)].position);
t.b = make_vec3(vertices[f(1)].position);
t.c = make_vec3(vertices[f(2)].position);
output.push_back(t);
}
return output;
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::addMesh(const TriangleMesh<vertex_t, index_t>& other)
{
int oldVertexCount = this->vertices.size();
for (vertex_t v : other.vertices)
{
this->vertices.push_back(v);
}
for (Face f : other.faces)
{
f(0) += oldVertexCount;
f(1) += oldVertexCount;
f(2) += oldVertexCount;
this->addFace(f);
}
}
template <typename vertex_t, typename index_t>
template <typename mesh_vertex_t, typename mesh_index_t>
void TriangleMesh<vertex_t, index_t>::addMesh(const TriangleMesh<mesh_vertex_t, mesh_index_t>& other)
{
int oldVertexCount = this->vertices.size();
for (vertex_t v : other.vertices)
{
this->vertices.push_back(v);
}
for (auto f : other.faces)
{
f(0) += oldVertexCount;
f(1) += oldVertexCount;
f(2) += oldVertexCount;
this->addFace(f);
}
}
template <typename vertex_t, typename index_t>
size_t TriangleMesh<vertex_t, index_t>::size() const
{
return faces.capacity() * sizeof(Face) + vertices.capacity() * sizeof(vertex_t) +
sizeof(TriangleMesh<vertex_t, index_t>);
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::free()
{
faces.clear();
faces.shrink_to_fit();
vertices.clear();
vertices.shrink_to_fit();
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::computePerVertexNormal()
{
//#pragma omp parallel for
for (int i = 0; i < (int)vertices.size(); ++i)
{
// Note:
// We keep the original w value intact, because it might be used
// by the application.
vec3 n = make_vec3(0);
vertices[i].normal = make_vec4(n, vertices[i].normal[3]);
}
//#pragma omp parallel for
for (int i = 0; i < (int)faces.size(); ++i)
{
Face& f = faces[i];
vec3 a = make_vec3(vertices[f(0)].position);
vec3 b = make_vec3(vertices[f(1)].position);
vec3 c = make_vec3(vertices[f(2)].position);
vec3 n = cross(b - a, c - a);
// Note: do not normalize here because the length is the surface area
vertices[f(0)].normal += make_vec4(n, 0);
vertices[f(1)].normal += make_vec4(n, 0);
vertices[f(2)].normal += make_vec4(n, 0);
}
//#pragma omp parallel for
for (int i = 0; i < (int)vertices.size(); ++i)
{
vec3 n = normalize(make_vec3(vertices[i].normal));
vertices[i].normal = make_vec4(n, vertices[i].normal[3]);
}
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::removeUnusedVertices()
{
std::vector<int> vmap(vertices.size(), -1);
auto vcopy = vertices;
vertices.clear();
for (int i = 0; i < (int)faces.size(); ++i)
{
auto& f = faces[i];
for (int i = 0; i < 3; ++i)
{
auto& v = f[i];
if (vmap[v] == -1)
{
int count = vertices.size();
vmap[v] = count;
vertices.push_back(vcopy[v]);
}
v = vmap[v];
}
}
}
template <typename vertex_t, typename index_t>
bool TriangleMesh<vertex_t, index_t>::isValid() const
{
// check if all referenced vertices exist
for (Face f : faces)
{
if (f(0) < 0 || f(0) >= (int)vertices.size()) return false;
if (f(1) < 0 || f(1) >= (int)vertices.size()) return false;
if (f(2) < 0 || f(2) >= (int)vertices.size()) return false;
}
return true;
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::sortVerticesByPosition(double epsilon)
{
double eps_squared = epsilon * epsilon;
std::vector<int> tmp_indices(vertices.size());
std::vector<int> tmp_indices2(vertices.size());
std::iota(tmp_indices.begin(), tmp_indices.end(), 0);
std::sort(tmp_indices.begin(), tmp_indices.end(), [&](int a, int b) {
vec4 p1 = vertices[a].position;
vec4 p2 = vertices[b].position;
vec4 p3 = (p1 - p2);
p3 = p3.array() * p3.array();
p1[0] = p3[0] < eps_squared ? p2[0] : p1[0];
p1[1] = p3[1] < eps_squared ? p2[1] : p1[1];
p1[2] = p3[2] < eps_squared ? p2[2] : p1[2];
return std::tie(p1[0], p1[1], p1[2]) < std::tie(p2[0], p2[1], p2[2]);
});
std::vector<vertex_t> new_vertices(vertices.size());
for (int i = 0; i < (int)new_vertices.size(); ++i)
{
new_vertices[i] = vertices[tmp_indices[i]];
tmp_indices2[tmp_indices[i]] = i;
}
for (auto& f : faces)
{
f(0) = tmp_indices2[f(0)];
f(1) = tmp_indices2[f(1)];
f(2) = tmp_indices2[f(2)];
}
vertices.swap(new_vertices);
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::removeSubsequentDuplicates(double epsilon)
{
if (vertices.size() <= 1) return;
double eps_squared = epsilon * epsilon;
std::vector<int> tmp_indices(vertices.size());
std::vector<bool> valid(vertices.size(), false);
std::vector<vertex_t> new_vertices;
int currentIdx = -1;
vec4 currentPos;
for (int i = 0; i < (int)vertices.size(); ++i)
{
auto& p = vertices[i].position;
if (i == 0 || (p - currentPos).squaredNorm() > eps_squared)
{
new_vertices.push_back(vertices[i]);
currentIdx++;
currentPos = p;
valid[i] = true;
}
tmp_indices[i] = currentIdx;
}
for (int i = 0; i < (int)vertices.size(); ++i)
{
if (valid[i]) new_vertices[tmp_indices[i]] = vertices[i];
}
for (auto& f : faces)
{
f(0) = tmp_indices[f(0)];
f(1) = tmp_indices[f(1)];
f(2) = tmp_indices[f(2)];
}
vertices.swap(new_vertices);
}
template <typename vertex_t, typename index_t>
void TriangleMesh<vertex_t, index_t>::removeDegenerateFaces()
{
faces.erase(std::remove_if(faces.begin(), faces.end(),
[](const Face& f) { return f(0) == f(1) || f(0) == f(2) || f(1) == f(2); }),
faces.end());
}
template <typename vertex_t, typename index_t>
float TriangleMesh<vertex_t, index_t>::distancePointMesh(const vec3& x)
{
float dis = std::numeric_limits<float>::infinity();
for (const Face& f : faces)
{
Triangle t;
t.a = make_vec3(vertices[f(0)].position);
t.b = make_vec3(vertices[f(1)].position);
t.c = make_vec3(vertices[f(2)].position);
dis = std::min(dis, t.Distance(x));
}
return dis;
}
template <typename vertex_t, typename index_t>
std::ostream& operator<<(std::ostream& os, const TriangleMesh<vertex_t, index_t>& dt)
{
os << "TriangleMesh. V=" << dt.vertices.size() << " F=" << dt.faces.size();
return os;
}
template <typename vertex_t, typename index_t>
void saveMeshOff(const TriangleMesh<vertex_t, index_t>& mesh, std::ostream& strm)
{
strm << "OFF"
<< "\n";
// first line: number of vertices, number of faces, number of edges (can be ignored)
strm << mesh.vertices.size() << " " << mesh.faces.size() << " 0"
<< "\n";
for (auto const& v : mesh.vertices)
{
strm << v.position[0] << " " << v.position[1] << " " << v.position[2] << "\n";
}
for (auto const& f : mesh.faces)
{
strm << "3"
<< " " << f[0] << " " << f[1] << " " << f[2] << "\n";
}
}
template <typename vertex_t, typename index_t>
void saveMeshOffColor(const TriangleMesh<vertex_t, index_t>& mesh, std::ostream& strm)
{
strm << "COFF"
<< "\n";
// first line: number of vertices, number of faces, number of edges (can be ignored)
strm << mesh.vertices.size() << " " << mesh.faces.size() << " 0"
<< "\n";
for (auto const& v : mesh.vertices)
{
strm << v.position[0] << " " << v.position[1] << " " << v.position[2] << " ";
strm << v.color[0] << " " << v.color[1] << " " << v.color[2] << " " << v.color[3] << "\n";
}
for (auto const& f : mesh.faces)
{
strm << "3"
<< " " << f[0] << " " << f[1] << " " << f[2] << "\n";
}
}
} // namespace Saiga
|
GB_binop__bor_int16.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__bor_int16)
// A.*B function (eWiseMult): GB (_AemultB_08__bor_int16)
// A.*B function (eWiseMult): GB (_AemultB_02__bor_int16)
// A.*B function (eWiseMult): GB (_AemultB_04__bor_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__bor_int16)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__bor_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__bor_int16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__bor_int16)
// C=scalar+B GB (_bind1st__bor_int16)
// C=scalar+B' GB (_bind1st_tran__bor_int16)
// C=A+scalar GB (_bind2nd__bor_int16)
// C=A'+scalar GB (_bind2nd_tran__bor_int16)
// C type: int16_t
// A type: int16_t
// A pattern? 0
// B type: int16_t
// B pattern? 0
// BinaryOp: cij = (aij) | (bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int16_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int16_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x) | (y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_BOR || GxB_NO_INT16 || GxB_NO_BOR_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__bor_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__bor_int16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__bor_int16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__bor_int16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
int16_t alpha_scalar ;
int16_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int16_t *) alpha_scalar_in)) ;
beta_scalar = (*((int16_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__bor_int16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__bor_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__bor_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__bor_int16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__bor_int16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *Cx = (int16_t *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = GBX (Bx, p, false) ;
Cx [p] = (x) | (bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__bor_int16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int16_t *Cx = (int16_t *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij) | (y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x) | (aij) ; \
}
GrB_Info GB (_bind1st_tran__bor_int16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij) | (y) ; \
}
GrB_Info GB (_bind2nd_tran__bor_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
matrix_oper.h | #ifndef MATRIX_OPER_H_
#define MATRIX_OPER_H_
namespace acspo {
template <typename T>
matrix<T> & operator+=(matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
m1ptr[i] += m2ptr[i];
}
return mat1;
}
template <typename T>
matrix<T> & operator-=(matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
m1ptr[i] -= m2ptr[i];
}
return mat1;
}
template <typename T>
matrix<T> & operator*=(matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
m1ptr[i] *= m2ptr[i];
}
return mat1;
}
template <typename T>
matrix<T> & operator/=(matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
m1ptr[i] /= m2ptr[i];
}
return mat1;
}
template <typename T, typename S>
matrix<T> & operator+=(matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
mptr[i] += val;
}
return mat;
}
template <typename T, typename S>
matrix<T> & operator-=(matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
mptr[i] -= val;
}
return mat;
}
template <typename T, typename S>
matrix<T> & operator*=(matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
mptr[i] *= val;
}
return mat;
}
template <typename T, typename S>
matrix<T> & operator/=(matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
mptr[i] /= val;
}
return mat;
}
template <typename T>
matrix<T> operator-(const matrix<T> &mat)
{
unsigned int elem = mat.elem();
matrix<T> ret(mat.size());
T *rptr = ret.ptr();
const T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = -mptr[i];
}
return ret;
}
template <typename T>
matrix<T> operator+(const matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
matrix<T> ret(mat1.size());
T *rptr = ret.ptr();
const T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = m1ptr[i] + m2ptr[i];
}
return ret;
}
template <typename T>
matrix<T> operator-(const matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
matrix<T> ret(mat1.size());
T *rptr = ret.ptr();
const T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = m1ptr[i] - m2ptr[i];
}
return ret;
}
template <typename T>
matrix<T> operator*(const matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
matrix<T> ret(mat1.size());
T *rptr = ret.ptr();
const T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = m1ptr[i] * m2ptr[i];
}
return ret;
}
template <typename T>
matrix<T> operator/(const matrix<T> &mat1, const matrix<T> &mat2)
{
if (mat1.size() != mat2.size()) {
throw std::runtime_error("dimension mismatch");
}
unsigned int elem = mat1.elem();
matrix<T> ret(mat1.size());
T *rptr = ret.ptr();
const T *m1ptr = mat1.ptr();
const T *m2ptr = mat2.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = m1ptr[i] / m2ptr[i];
}
return ret;
}
template <typename T, typename S>
matrix<T> operator+(const matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
matrix<T> ret(mat.size());
T *rptr = ret.ptr();
const T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = mptr[i] + val;
}
return ret;
}
template <typename T, typename S>
matrix<T> operator-(const matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
matrix<T> ret(mat.size());
T *rptr = ret.ptr();
const T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = mptr[i] - val;
}
return ret;
}
template <typename T, typename S>
matrix<T> operator*(const matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
matrix<T> ret(mat.size());
T *rptr = ret.ptr();
const T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = mptr[i] * val;
}
return ret;
}
template <typename T, typename S>
matrix<T> operator/(const matrix<T> &mat, const S &val)
{
unsigned int elem = mat.elem();
matrix<T> ret(mat.size());
T *rptr = ret.ptr();
const T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = mptr[i] / val;
}
return ret;
}
template <typename T, typename S>
matrix<T> operator+(const S &val, const matrix<T> &mat)
{
return mat + val;
}
template <typename T, typename S>
matrix<T> operator-(const S &val, const matrix<T> &mat)
{
unsigned int elem = mat.elem();
matrix<T> ret(mat.size());
T *rptr = ret.ptr();
const T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = val - mptr[i];
}
return ret;
}
template <typename T, typename S>
matrix<T> operator*(const S &val, const matrix<T> &mat)
{
return mat * val;
}
template <typename T, typename S>
matrix<T> operator/(const S &val, const matrix<T> &mat)
{
unsigned int rows = mat.rows(), cols = mat.cols(), elem = mat.elem();
matrix<T> ret(rows, cols);
T *rptr = ret.ptr();
const T *mptr = mat.ptr();
#pragma omp parallel for simd
for (unsigned int i = 0; i < elem; i++) {
rptr[i] = val / mptr[i];
}
return ret;
}
}
#endif
|
IJMatrix_parcsr.c | /******************************************************************************
* Copyright 1998-2019 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
/******************************************************************************
*
* IJMatrix_ParCSR interface
*
*****************************************************************************/
#include "_hypre_IJ_mv.h"
#include "_hypre_parcsr_mv.h"
#include "../HYPRE.h"
/******************************************************************************
*
* hypre_IJMatrixCreateParCSR
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixCreateParCSR(hypre_IJMatrix *matrix)
{
MPI_Comm comm = hypre_IJMatrixComm(matrix);
HYPRE_BigInt *row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
HYPRE_BigInt *col_partitioning = hypre_IJMatrixColPartitioning(matrix);
hypre_ParCSRMatrix *par_matrix;
HYPRE_BigInt *row_starts;
HYPRE_BigInt *col_starts;
HYPRE_Int num_procs;
HYPRE_Int i;
hypre_MPI_Comm_size(comm,&num_procs);
#ifdef HYPRE_NO_GLOBAL_PARTITION
row_starts = hypre_CTAlloc(HYPRE_BigInt, 2, HYPRE_MEMORY_HOST);
if (hypre_IJMatrixGlobalFirstRow(matrix))
{
for (i=0; i < 2; i++)
{
row_starts[i] = row_partitioning[i]- hypre_IJMatrixGlobalFirstRow(matrix);
}
}
else
{
for (i=0; i < 2; i++)
{
row_starts[i] = row_partitioning[i];
}
}
if (row_partitioning != col_partitioning)
{
col_starts = hypre_CTAlloc(HYPRE_BigInt, 2, HYPRE_MEMORY_HOST);
if (hypre_IJMatrixGlobalFirstCol(matrix))
{
for (i=0; i < 2; i++)
{
col_starts[i] = col_partitioning[i]-hypre_IJMatrixGlobalFirstCol(matrix);
}
}
else
{
for (i=0; i < 2; i++)
{
col_starts[i] = col_partitioning[i];
}
}
}
else
{
col_starts = row_starts;
}
par_matrix = hypre_ParCSRMatrixCreate(comm, hypre_IJMatrixGlobalNumRows(matrix),
hypre_IJMatrixGlobalNumCols(matrix),
row_starts, col_starts, 0, 0, 0);
#else
row_starts = hypre_CTAlloc(HYPRE_BigInt, num_procs+1, HYPRE_MEMORY_HOST);
if (row_partitioning[0])
{
for (i=0; i < num_procs+1; i++)
{
row_starts[i] = row_partitioning[i]-row_partitioning[0];
}
}
else
{
for (i=0; i < num_procs+1; i++)
{
row_starts[i] = row_partitioning[i];
}
}
if (row_partitioning != col_partitioning)
{
col_starts = hypre_CTAlloc(HYPRE_BigInt, num_procs+1, HYPRE_MEMORY_HOST);
if (col_partitioning[0])
{
for (i=0; i < num_procs+1; i++)
{
col_starts[i] = col_partitioning[i]-col_partitioning[0];
}
}
else
{
for (i=0; i < num_procs+1; i++)
{
col_starts[i] = col_partitioning[i];
}
}
}
else
{
col_starts = row_starts;
}
par_matrix = hypre_ParCSRMatrixCreate(comm,row_starts[num_procs],
col_starts[num_procs],
row_starts, col_starts, 0, 0, 0);
#endif
hypre_IJMatrixObject(matrix) = par_matrix;
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixSetRowSizesParCSR
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixSetRowSizesParCSR(hypre_IJMatrix *matrix,
const HYPRE_Int *sizes)
{
HYPRE_Int local_num_rows, local_num_cols;
HYPRE_Int i, my_id;
HYPRE_Int *row_space;
HYPRE_BigInt *row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
HYPRE_BigInt *col_partitioning = hypre_IJMatrixColPartitioning(matrix);
hypre_AuxParCSRMatrix *aux_matrix;
MPI_Comm comm = hypre_IJMatrixComm(matrix);
hypre_MPI_Comm_rank(comm,&my_id);
#ifdef HYPRE_NO_GLOBAL_PARTITION
local_num_rows = (HYPRE_Int)(row_partitioning[1]-row_partitioning[0]);
local_num_cols = (HYPRE_Int)(col_partitioning[1]-col_partitioning[0]);
#else
local_num_rows = (HYPRE_Int)(row_partitioning[my_id+1]-row_partitioning[my_id]);
local_num_cols = (HYPRE_Int)(col_partitioning[my_id+1]-col_partitioning[my_id]);
#endif
aux_matrix = (hypre_AuxParCSRMatrix *) hypre_IJMatrixTranslator(matrix);
row_space = NULL;
if (aux_matrix)
{
row_space = hypre_AuxParCSRMatrixRowSpace(aux_matrix);
}
if (!row_space)
{
row_space = hypre_CTAlloc(HYPRE_Int, local_num_rows, HYPRE_MEMORY_HOST);
}
for (i = 0; i < local_num_rows; i++)
{
row_space[i] = sizes[i];
}
if (!aux_matrix)
{
hypre_AuxParCSRMatrixCreate(&aux_matrix, local_num_rows,
local_num_cols, row_space);
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
hypre_AuxParCSRMatrixRowSpace(aux_matrix) = row_space;
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixSetDiagOffdSizesParCSR
* sets diag_i inside the diag part of the ParCSRMatrix
* and offd_i inside the offd part,
* requires exact row sizes for diag and offd
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixSetDiagOffdSizesParCSR(hypre_IJMatrix *matrix,
const HYPRE_Int *diag_sizes,
const HYPRE_Int *offdiag_sizes)
{
HYPRE_Int local_num_rows;
HYPRE_Int i;
hypre_ParCSRMatrix *par_matrix = (hypre_ParCSRMatrix *)hypre_IJMatrixObject(matrix);
hypre_AuxParCSRMatrix *aux_matrix = (hypre_AuxParCSRMatrix *)hypre_IJMatrixTranslator(matrix);
hypre_CSRMatrix *diag;
hypre_CSRMatrix *offd;
HYPRE_Int *diag_i;
HYPRE_Int *offd_i;
if (!par_matrix)
{
hypre_IJMatrixCreateParCSR(matrix);
par_matrix = (hypre_ParCSRMatrix *)hypre_IJMatrixObject(matrix);
}
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
local_num_rows = hypre_CSRMatrixNumRows(diag);
if (!diag_i)
{
diag_i = hypre_CTAlloc(HYPRE_Int, local_num_rows+1, hypre_CSRMatrixMemoryLocation(diag));
}
for (i = 0; i < local_num_rows; i++)
{
diag_i[i+1] = diag_i[i] + diag_sizes[i];
}
hypre_CSRMatrixI(diag) = diag_i;
hypre_CSRMatrixNumNonzeros(diag) = diag_i[local_num_rows];
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
if (!offd_i)
{
offd_i = hypre_CTAlloc(HYPRE_Int, local_num_rows+1, hypre_CSRMatrixMemoryLocation(offd));
}
for (i = 0; i < local_num_rows; i++)
{
offd_i[i+1] = offd_i[i] + offdiag_sizes[i];
}
hypre_CSRMatrixI(offd) = offd_i;
hypre_CSRMatrixNumNonzeros(offd) = offd_i[local_num_rows];
if (!aux_matrix)
{
hypre_AuxParCSRMatrixCreate(&aux_matrix, local_num_rows,
hypre_CSRMatrixNumCols(diag), NULL);
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
hypre_AuxParCSRMatrixNeedAux(aux_matrix) = 0;
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixSetMaxOffProcElmtsParCSR
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixSetMaxOffProcElmtsParCSR(hypre_IJMatrix *matrix,
HYPRE_Int max_off_proc_elmts)
{
hypre_AuxParCSRMatrix *aux_matrix;
HYPRE_Int local_num_rows, local_num_cols, my_id;
HYPRE_BigInt *row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
HYPRE_BigInt *col_partitioning = hypre_IJMatrixColPartitioning(matrix);
MPI_Comm comm = hypre_IJMatrixComm(matrix);
hypre_MPI_Comm_rank(comm,&my_id);
aux_matrix = (hypre_AuxParCSRMatrix *) hypre_IJMatrixTranslator(matrix);
if (!aux_matrix)
{
#ifdef HYPRE_NO_GLOBAL_PARTITION
local_num_rows = (HYPRE_Int)(row_partitioning[1]-row_partitioning[0]);
local_num_cols = (HYPRE_Int)(col_partitioning[1]-col_partitioning[0]);
#else
local_num_rows = (HYPRE_Int)(row_partitioning[my_id+1]-row_partitioning[my_id]);
local_num_cols = (HYPRE_Int)(col_partitioning[my_id+1]-col_partitioning[my_id]);
#endif
hypre_AuxParCSRMatrixCreate(&aux_matrix, local_num_rows,
local_num_cols, NULL);
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix) = max_off_proc_elmts;
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixInitializeParCSR
*
* initializes AuxParCSRMatrix and ParCSRMatrix as necessary
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixInitializeParCSR(hypre_IJMatrix *matrix)
{
hypre_ParCSRMatrix *par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject(matrix);
hypre_AuxParCSRMatrix *aux_matrix = (hypre_AuxParCSRMatrix *) hypre_IJMatrixTranslator(matrix);
HYPRE_Int local_num_rows;
if (hypre_IJMatrixAssembleFlag(matrix) == 0)
{
if (!par_matrix)
{
hypre_IJMatrixCreateParCSR(matrix);
par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject(matrix);
}
local_num_rows =
hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(par_matrix));
if (!aux_matrix)
{
hypre_AuxParCSRMatrixCreate(
&aux_matrix, local_num_rows,
hypre_CSRMatrixNumCols(hypre_ParCSRMatrixDiag(par_matrix)), NULL);
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
hypre_ParCSRMatrixInitialize(par_matrix);
hypre_AuxParCSRMatrixInitialize(aux_matrix);
if (!hypre_AuxParCSRMatrixNeedAux(aux_matrix))
{
HYPRE_Int i, *indx_diag, *indx_offd, *diag_i, *offd_i;
diag_i = hypre_CSRMatrixI(hypre_ParCSRMatrixDiag(par_matrix));
offd_i = hypre_CSRMatrixI(hypre_ParCSRMatrixOffd(par_matrix));
indx_diag = hypre_AuxParCSRMatrixIndxDiag(aux_matrix);
indx_offd = hypre_AuxParCSRMatrixIndxOffd(aux_matrix);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < local_num_rows; i++)
{
indx_diag[i] = diag_i[i];
indx_offd[i] = offd_i[i];
}
}
}
else /* AB 4/06 - the assemble routine destroys the aux matrix - so we need
to recreate if initialize is called again*/
{
if (!aux_matrix)
{
local_num_rows =
hypre_CSRMatrixNumRows(hypre_ParCSRMatrixDiag(par_matrix));
hypre_AuxParCSRMatrixCreate(
&aux_matrix, local_num_rows,
hypre_CSRMatrixNumCols(hypre_ParCSRMatrixDiag(par_matrix)), NULL);
hypre_AuxParCSRMatrixNeedAux(aux_matrix) = 0;
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
}
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixGetRowCountsParCSR
*
* gets the number of columns for rows specified by the user
*
*****************************************************************************/
HYPRE_Int hypre_IJMatrixGetRowCountsParCSR( hypre_IJMatrix *matrix,
HYPRE_Int nrows,
HYPRE_BigInt *rows,
HYPRE_Int *ncols)
{
HYPRE_BigInt row_index;
MPI_Comm comm = hypre_IJMatrixComm(matrix);
hypre_ParCSRMatrix *par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject(matrix);
HYPRE_BigInt *row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
hypre_CSRMatrix *diag = hypre_ParCSRMatrixDiag(par_matrix);
HYPRE_Int *diag_i = hypre_CSRMatrixI(diag);
hypre_CSRMatrix *offd = hypre_ParCSRMatrixOffd(par_matrix);
HYPRE_Int *offd_i = hypre_CSRMatrixI(offd);
HYPRE_Int i, my_id, pstart, index;
HYPRE_Int print_level = hypre_IJMatrixPrintLevel(matrix);
hypre_MPI_Comm_rank(comm,&my_id);
#ifdef HYPRE_NO_GLOBAL_PARTITION
pstart = 0;
#else
pstart = my_id;
#endif
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i, row_index) HYPRE_SMP_SCHEDULE
#endif
for (i=0; i < nrows; i++)
{
row_index = rows[i];
if (row_index >= row_partitioning[pstart] &&
row_index < row_partitioning[pstart+1])
{
/* compute local row number */
index = (HYPRE_Int)(row_index - row_partitioning[pstart]);
ncols[i] = diag_i[index+1]-diag_i[index]+offd_i[index+1]-offd_i[index];
}
else
{
ncols[i] = 0;
if (print_level)
{
hypre_printf ("Warning! Row %b is not on Proc. %d!\n",
row_index, my_id);
}
}
}
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixGetValuesParCSR
*
* gets values of an IJMatrix
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixGetValuesParCSR( hypre_IJMatrix *matrix,
HYPRE_Int nrows,
HYPRE_Int *ncols,
HYPRE_BigInt *rows,
HYPRE_BigInt *cols,
HYPRE_Complex *values)
{
MPI_Comm comm = hypre_IJMatrixComm(matrix);
hypre_ParCSRMatrix *par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject(matrix);
HYPRE_Int assemble_flag = hypre_IJMatrixAssembleFlag(matrix);
hypre_CSRMatrix *diag;
HYPRE_Int *diag_i;
HYPRE_Int *diag_j;
HYPRE_Complex *diag_data;
hypre_CSRMatrix *offd;
HYPRE_Int *offd_i;
HYPRE_Int *offd_j;
HYPRE_Complex *offd_data;
HYPRE_BigInt *col_map_offd;
HYPRE_BigInt *col_starts = hypre_ParCSRMatrixColStarts(par_matrix);
HYPRE_BigInt *row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
#ifndef HYPRE_NO_GLOBAL_PARTITION
HYPRE_BigInt *col_partitioning = hypre_IJMatrixColPartitioning(matrix);
#endif
HYPRE_Int i, j, n, ii, indx, pstart;
HYPRE_Int num_procs, my_id;
HYPRE_BigInt col_0, col_n, row, col_indx, first;
HYPRE_Int row_local, row_size;
HYPRE_Int warning = 0;
HYPRE_Int *counter;
HYPRE_Int print_level = hypre_IJMatrixPrintLevel(matrix);
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
if (assemble_flag == 0)
{
hypre_error_in_arg(1);
if (print_level)
{
hypre_printf("Error! Matrix not assembled yet! HYPRE_IJMatrixGetValues\n");
}
}
#ifdef HYPRE_NO_GLOBAL_PARTITION
col_0 = col_starts[0];
col_n = col_starts[1]-1;
first = hypre_IJMatrixGlobalFirstCol(matrix);
pstart = 0;
#else
col_0 = col_starts[my_id];
col_n = col_starts[my_id+1]-1;
first = col_partitioning[0];
pstart = my_id;
#endif
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
if (num_procs > 1)
{
offd_j = hypre_CSRMatrixJ(offd);
offd_data = hypre_CSRMatrixData(offd);
col_map_offd = hypre_ParCSRMatrixColMapOffd(par_matrix);
}
if (nrows < 0)
{
nrows = -nrows;
counter = hypre_CTAlloc(HYPRE_Int, nrows+1, HYPRE_MEMORY_HOST);
counter[0] = 0;
for (i=0; i < nrows; i++)
{
counter[i+1] = counter[i]+ncols[i];
}
indx = 0;
for (i=0; i < nrows; i++)
{
row = rows[i];
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
row_size = diag_i[row_local+1] - diag_i[row_local] +
offd_i[row_local+1] - offd_i[row_local];
if (counter[i]+row_size > counter[nrows])
{
hypre_error_in_arg(1);
if (print_level)
{
hypre_printf ("Error! Not enough memory! HYPRE_IJMatrixGetValues\n");
}
}
if (ncols[i] < row_size)
{
warning = 1;
}
for (j = diag_i[row_local]; j < diag_i[row_local+1]; j++)
{
cols[indx] = (HYPRE_BigInt)diag_j[j] + col_0;
values[indx++] = diag_data[j];
}
for (j = offd_i[row_local]; j < offd_i[row_local+1]; j++)
{
cols[indx] = col_map_offd[offd_j[j]];
values[indx++] = offd_data[j];
}
counter[i+1] = indx;
}
else
{
if (print_level)
{
hypre_printf ("Warning! Row %b is not on Proc. %d!\n", row, my_id);
}
}
}
if (warning)
{
for (i=0; i < nrows; i++)
{
ncols[i] = counter[i+1] - counter[i];
}
if (print_level)
{
hypre_printf ("Warning! ncols has been changed!\n");
}
}
hypre_TFree(counter, HYPRE_MEMORY_HOST);
}
else
{
indx = 0;
for (ii=0; ii < nrows; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
for (i=0; i < n; i++)
{
col_indx = cols[indx] - first;
values[indx] = 0.0;
if (col_indx < col_0 || col_indx > col_n)
/* search in offd */
{
for (j=offd_i[row_local]; j < offd_i[row_local+1]; j++)
{
if (col_map_offd[offd_j[j]] == col_indx)
{
values[indx] = offd_data[j];
break;
}
}
}
else /* search in diag */
{
col_indx = col_indx - col_0;
for (j=diag_i[row_local]; j < diag_i[row_local+1]; j++)
{
if (diag_j[j] == (HYPRE_Int)col_indx)
{
values[indx] = diag_data[j];
break;
}
}
}
indx++;
}
}
else
{
if (print_level)
{
hypre_printf ("Warning! Row %b is not on Proc. %d!\n", row, my_id);
}
}
}
}
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixSetValuesParCSR
*
* sets values in an IJMatrix before assembly,
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixSetValuesParCSR( hypre_IJMatrix *matrix,
HYPRE_Int nrows,
HYPRE_Int *ncols,
const HYPRE_BigInt *rows,
const HYPRE_Int *row_indexes,
const HYPRE_BigInt *cols,
const HYPRE_Complex *values )
{
hypre_ParCSRMatrix *par_matrix;
hypre_CSRMatrix *diag, *offd;
hypre_AuxParCSRMatrix *aux_matrix;
HYPRE_BigInt *row_partitioning;
HYPRE_BigInt *col_partitioning;
MPI_Comm comm = hypre_IJMatrixComm(matrix);
HYPRE_Int num_procs, my_id;
HYPRE_Int row_local;
//HYPRE_Int row_len;
HYPRE_BigInt col_0, col_n, row;
HYPRE_Int i, ii, j, n, not_found;
//HYPRE_Int col_indx, cnt1;
HYPRE_BigInt **aux_j;
HYPRE_BigInt *local_j;
HYPRE_BigInt *tmp_j;
HYPRE_Complex **aux_data;
HYPRE_Complex *local_data;
HYPRE_Complex *tmp_data;
HYPRE_Int diag_space, offd_space;
HYPRE_Int *row_length, *row_space;
HYPRE_Int need_aux;
HYPRE_Int tmp_indx, indx;
HYPRE_Int space, size, old_size;
HYPRE_Int cnt, cnt_diag, cnt_offd;
HYPRE_Int pos_diag, pos_offd;
HYPRE_Int len_diag, len_offd;
HYPRE_Int offd_indx, diag_indx;
HYPRE_Int *diag_i;
HYPRE_Int *diag_j;
HYPRE_Complex *diag_data;
HYPRE_Int *offd_i;
HYPRE_Int *offd_j;
HYPRE_Complex *offd_data;
HYPRE_BigInt first;
HYPRE_Int pstart;
/*HYPRE_Int current_num_elmts;*/
/*HYPRE_Int max_off_proc_elmts;*/
//HYPRE_Int off_proc_i_indx;
//HYPRE_BigInt *off_proc_i;
//HYPRE_BigInt *off_proc_j;
HYPRE_Int print_level = hypre_IJMatrixPrintLevel(matrix);
/*HYPRE_Complex *off_proc_data;*/
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject( matrix );
row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
col_partitioning = hypre_IJMatrixColPartitioning(matrix);
#ifdef HYPRE_NO_GLOBAL_PARTITION
col_0 = col_partitioning[0];
col_n = col_partitioning[1]-1;
first = hypre_IJMatrixGlobalFirstCol(matrix);
pstart = 0;
#else
col_0 = col_partitioning[my_id];
col_n = col_partitioning[my_id+1]-1;
first = col_partitioning[0];
pstart = my_id;
#endif
if (nrows < 0)
{
hypre_error_in_arg(2);
if (print_level)
{
hypre_printf("Error! nrows negative! HYPRE_IJMatrixSetValues\n");
}
}
if (hypre_IJMatrixAssembleFlag(matrix)) /* matrix already assembled*/
{
HYPRE_BigInt *col_map_offd;
HYPRE_Int num_cols_offd;
HYPRE_Int j_offd;
for (ii=0; ii < nrows; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
/* processor owns the row */
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
num_cols_offd = hypre_CSRMatrixNumCols(offd);
if (num_cols_offd)
{
col_map_offd = hypre_ParCSRMatrixColMapOffd(par_matrix);
offd_j = hypre_CSRMatrixJ(offd);
offd_data = hypre_CSRMatrixData(offd);
}
size = diag_i[row_local+1] - diag_i[row_local] +
offd_i[row_local+1] - offd_i[row_local];
if (n > size) /* Should we change this and allow this?
This could be same column index, i.e. only last
value is set, previous ones overwritten. */
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" row %b too long! \n", row);
}
return hypre_error_flag;
}
pos_diag = diag_i[row_local];
pos_offd = offd_i[row_local];
len_diag = diag_i[row_local+1];
len_offd = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
j_offd = hypre_BigBinarySearch(col_map_offd,cols[indx]-first,
num_cols_offd);
if (j_offd == -1)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
return hypre_error_flag;
}
for (j=pos_offd; j < len_offd; j++)
{
if (offd_j[j] == j_offd)
{
offd_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
return hypre_error_flag;
}
not_found = 1;
}
/* diagonal element */
else if (cols[indx] == row)
{
if (diag_j[pos_diag] != row_local)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
/* return -1;*/
return hypre_error_flag;
}
diag_data[pos_diag] = values[indx];
}
else /* insert into diag */
{
for (j=pos_diag; j < len_diag; j++)
{
if (diag_j[j] == (HYPRE_Int)(cols[indx]-col_0))
{
diag_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
/* return -1; */
return hypre_error_flag;
}
}
indx++;
}
}
}
}
else
{
aux_matrix = (hypre_AuxParCSRMatrix *) hypre_IJMatrixTranslator(matrix);
row_space = hypre_AuxParCSRMatrixRowSpace(aux_matrix);
row_length = hypre_AuxParCSRMatrixRowLength(aux_matrix);
need_aux = hypre_AuxParCSRMatrixNeedAux(aux_matrix);
for (ii=0; ii < nrows; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
/* processor owns the row */
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
if (need_aux)
{
aux_j = hypre_AuxParCSRMatrixAuxJ(aux_matrix);
aux_data = hypre_AuxParCSRMatrixAuxData(aux_matrix);
local_j = aux_j[row_local];
local_data = aux_data[row_local];
space = row_space[row_local];
old_size = row_length[row_local];
size = space - old_size;
if (size < n)
{
size = n - size;
tmp_j = hypre_CTAlloc(HYPRE_BigInt, size, HYPRE_MEMORY_HOST);
tmp_data = hypre_CTAlloc(HYPRE_Complex, size, HYPRE_MEMORY_HOST);
}
else
{
tmp_j = NULL;
}
tmp_indx = 0;
not_found = 1;
size = old_size;
for (i=0; i < n; i++)
{
for (j=0; j < old_size; j++)
{
if (local_j[j] == cols[indx])
{
local_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (size < space)
{
local_j[size] = cols[indx];
local_data[size++] = values[indx];
}
else
{
tmp_j[tmp_indx] = cols[indx];
tmp_data[tmp_indx++] = values[indx];
}
}
not_found = 1;
indx++;
}
row_length[row_local] = size+tmp_indx;
if (tmp_indx)
{
aux_j[row_local] = hypre_TReAlloc(aux_j[row_local], HYPRE_BigInt,
size+tmp_indx, HYPRE_MEMORY_HOST);
aux_data[row_local] = hypre_TReAlloc(aux_data[row_local],
HYPRE_Complex, size+tmp_indx, HYPRE_MEMORY_HOST);
row_space[row_local] = size+tmp_indx;
local_j = aux_j[row_local];
local_data = aux_data[row_local];
}
cnt = size;
for (i=0; i < tmp_indx; i++)
{
local_j[cnt] = tmp_j[i];
local_data[cnt++] = tmp_data[i];
}
if (tmp_j)
{
hypre_TFree(tmp_j, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_data, HYPRE_MEMORY_HOST);
}
}
else /* insert immediately into data in ParCSRMatrix structure */
{
HYPRE_BigInt *big_offd_j;
HYPRE_Int col_j;
offd_indx =hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local];
diag_indx =hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local];
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
if (num_procs > 1)
{
big_offd_j = hypre_CSRMatrixBigJ(offd);
offd_data = hypre_CSRMatrixData(offd);
if (!big_offd_j)
{
big_offd_j = hypre_CTAlloc(HYPRE_BigInt, offd_i[hypre_CSRMatrixNumRows(offd)],
hypre_CSRMatrixMemoryLocation(offd));
hypre_CSRMatrixBigJ(offd) = big_offd_j;
}
}
cnt_diag = diag_indx;
cnt_offd = offd_indx;
diag_space = diag_i[row_local+1];
offd_space = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
for (j=offd_i[row_local]; j < offd_indx; j++)
{
if (big_offd_j[j] == cols[indx])
{
offd_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_offd < offd_space)
{
big_offd_j[cnt_offd] = cols[indx];
offd_data[cnt_offd++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements!\n",
row);
}
/* return 1; */
return hypre_error_flag;
}
}
not_found = 1;
}
else /* insert into diag */
{
col_j = (HYPRE_Int)(cols[indx]-col_0);
for (j=diag_i[row_local]; j < diag_indx; j++)
{
if (diag_j[j] == col_j)
{
diag_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_diag < diag_space)
{
diag_j[cnt_diag] = col_j;
diag_data[cnt_diag++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements !\n",
row);
}
/* return 1; */
return hypre_error_flag;
}
}
not_found = 1;
}
indx++;
}
hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local] = cnt_diag;
hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local] = cnt_offd;
}
}
}
}
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixSetConstantValuesParCSR
*
* sets all values in an already assembled IJMatrix to a constant value.
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixSetConstantValuesParCSR( hypre_IJMatrix *matrix,
HYPRE_Complex value )
{
hypre_ParCSRMatrix *par_matrix;
par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject( matrix );
if (hypre_IJMatrixAssembleFlag(matrix)) /* matrix already assembled*/
{
hypre_CSRMatrix *diag, *offd;
HYPRE_Int *diag_i, *offd_i;
HYPRE_Complex *diag_data, *offd_data;
HYPRE_Int num_rows;
HYPRE_Int ii;
diag = hypre_ParCSRMatrixDiag(par_matrix);
offd = hypre_ParCSRMatrixOffd(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
offd_i = hypre_CSRMatrixI(offd);
diag_data = hypre_CSRMatrixData(diag);
offd_data = hypre_CSRMatrixData(offd);
num_rows = hypre_CSRMatrixNumRows(diag);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE
#endif
for (ii=0; ii < diag_i[num_rows]; ii++)
{
diag_data[ii] = value;
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE
#endif
for (ii=0; ii < offd_i[num_rows]; ii++)
{
offd_data[ii] = value;
}
}
else
{
hypre_error_w_msg(HYPRE_ERROR_GENERIC,
"Matrix not assembled! Required to set constant values!");
}
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixAddToValuesParCSR
*
* adds row values to an IJMatrix
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixAddToValuesParCSR( hypre_IJMatrix *matrix,
HYPRE_Int nrows,
HYPRE_Int *ncols,
const HYPRE_BigInt *rows,
const HYPRE_Int *row_indexes,
const HYPRE_BigInt *cols,
const HYPRE_Complex *values )
{
hypre_ParCSRMatrix *par_matrix;
hypre_CSRMatrix *diag, *offd;
hypre_AuxParCSRMatrix *aux_matrix;
HYPRE_BigInt *row_partitioning;
HYPRE_BigInt *col_partitioning;
MPI_Comm comm = hypre_IJMatrixComm(matrix);
HYPRE_Int num_procs, my_id;
HYPRE_Int row_local;
HYPRE_BigInt row;
HYPRE_BigInt col_0, col_n;
HYPRE_Int i, ii, j, n, not_found;
HYPRE_BigInt **aux_j;
HYPRE_BigInt *local_j;
HYPRE_BigInt *tmp_j;
HYPRE_Complex **aux_data;
HYPRE_Complex *local_data;
HYPRE_Complex *tmp_data;
HYPRE_Int diag_space, offd_space;
HYPRE_Int *row_length, *row_space;
HYPRE_Int need_aux;
HYPRE_Int tmp_indx, indx;
HYPRE_Int space, size, old_size;
HYPRE_Int cnt, cnt_diag, cnt_offd;
HYPRE_Int pos_diag, pos_offd;
HYPRE_Int len_diag, len_offd;
HYPRE_Int offd_indx, diag_indx;
HYPRE_BigInt first;
HYPRE_Int pstart;
HYPRE_Int *diag_i;
HYPRE_Int *diag_j;
HYPRE_Complex *diag_data;
HYPRE_Int *offd_i;
HYPRE_Int *offd_j;
HYPRE_Complex *offd_data;
HYPRE_Int current_num_elmts;
HYPRE_Int max_off_proc_elmts;
HYPRE_Int off_proc_i_indx;
HYPRE_BigInt *off_proc_i;
HYPRE_BigInt *off_proc_j;
HYPRE_Complex *off_proc_data;
HYPRE_Int print_level = hypre_IJMatrixPrintLevel(matrix);
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject( matrix );
row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
col_partitioning = hypre_IJMatrixColPartitioning(matrix);
#ifdef HYPRE_NO_GLOBAL_PARTITION
col_0 = col_partitioning[0];
col_n = col_partitioning[1]-1;
first = hypre_IJMatrixGlobalFirstCol(matrix);
pstart = 0;
#else
col_0 = col_partitioning[my_id];
col_n = col_partitioning[my_id+1]-1;
first = col_partitioning[0];
pstart = my_id;
#endif
if (hypre_IJMatrixAssembleFlag(matrix))
{
HYPRE_Int num_cols_offd;
HYPRE_BigInt *col_map_offd;
HYPRE_Int j_offd;
/* AB - 4/06 - need to get this object*/
aux_matrix = (hypre_AuxParCSRMatrix *) hypre_IJMatrixTranslator(matrix);
for (ii=0; ii < nrows; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
num_cols_offd = hypre_CSRMatrixNumCols(offd);
if (num_cols_offd)
{
col_map_offd = hypre_ParCSRMatrixColMapOffd(par_matrix);
offd_j = hypre_CSRMatrixJ(offd);
offd_data = hypre_CSRMatrixData(offd);
}
size = diag_i[row_local+1] - diag_i[row_local] +
offd_i[row_local+1] - offd_i[row_local];
if (n > size) /* Should we change this and allow this?
This could be same column index, i.e. only last
value is set, previous ones overwritten. */
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" row %b too long! \n", row);
}
return hypre_error_flag;
}
pos_diag = diag_i[row_local];
pos_offd = offd_i[row_local];
len_diag = diag_i[row_local+1];
len_offd = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
j_offd = hypre_BigBinarySearch(col_map_offd,cols[indx]-first,
num_cols_offd);
if (j_offd == -1)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
return hypre_error_flag;
/* return -1; */
}
for (j=pos_offd; j < len_offd; j++)
{
if (offd_j[j] == j_offd)
{
offd_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
return hypre_error_flag;
}
not_found = 1;
}
/* diagonal element */
else if (cols[indx] == row)
{
if (diag_j[pos_diag] != row_local)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
return hypre_error_flag;
}
diag_data[pos_diag] += values[indx];
}
else /* insert into diag */
{
for (j=pos_diag; j < len_diag; j++)
{
if (diag_j[j] == (HYPRE_Int)(cols[indx]-col_0))
{
diag_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
return hypre_error_flag;
}
}
indx++;
}
}
/* not my row */
else
{
if (!aux_matrix)
{
size = (HYPRE_Int)(row_partitioning[pstart+1]-row_partitioning[pstart]);
hypre_AuxParCSRMatrixCreate(&aux_matrix, size, size, NULL);
hypre_AuxParCSRMatrixNeedAux(aux_matrix) = 0;
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
current_num_elmts
= hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
max_off_proc_elmts
= hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data = hypre_AuxParCSRMatrixOffProcData(aux_matrix);
if (!max_off_proc_elmts)
{
max_off_proc_elmts = hypre_max(n,1000);
hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix) = max_off_proc_elmts;
hypre_AuxParCSRMatrixOffProcI(aux_matrix)
= hypre_CTAlloc(HYPRE_BigInt, 2*max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcJ(aux_matrix)
= hypre_CTAlloc(HYPRE_BigInt, max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcData(aux_matrix)
= hypre_CTAlloc(HYPRE_Complex, max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data = hypre_AuxParCSRMatrixOffProcData(aux_matrix);
}
else if (current_num_elmts + n > max_off_proc_elmts)
{
max_off_proc_elmts += 3*n;
off_proc_i = hypre_TReAlloc(off_proc_i, HYPRE_BigInt, 2*max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_j = hypre_TReAlloc(off_proc_j, HYPRE_BigInt, max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_data = hypre_TReAlloc(off_proc_data,HYPRE_Complex,
max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix) = max_off_proc_elmts;
hypre_AuxParCSRMatrixOffProcI(aux_matrix) = off_proc_i;
hypre_AuxParCSRMatrixOffProcJ(aux_matrix) = off_proc_j;
hypre_AuxParCSRMatrixOffProcData(aux_matrix) = off_proc_data;
}
/* AB - 4/6 - the row should be negative to indicate an add */
/* UMY - 12/28/09 - now positive since we eliminated the feature of
setting on other processors */
/* off_proc_i[off_proc_i_indx++] = row; */
off_proc_i[off_proc_i_indx++] = row;
off_proc_i[off_proc_i_indx++] = n;
for (i=0; i < n; i++)
{
off_proc_j[current_num_elmts] = cols[indx];
off_proc_data[current_num_elmts++] = values[indx++];
}
hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix) = off_proc_i_indx;
hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix)
= current_num_elmts;
}
}
}
/* not assembled */
else
{
aux_matrix = (hypre_AuxParCSRMatrix *) hypre_IJMatrixTranslator(matrix);
row_space = hypre_AuxParCSRMatrixRowSpace(aux_matrix);
row_length = hypre_AuxParCSRMatrixRowLength(aux_matrix);
need_aux = hypre_AuxParCSRMatrixNeedAux(aux_matrix);
for (ii=0; ii < nrows; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
if (need_aux)
{
aux_j = hypre_AuxParCSRMatrixAuxJ(aux_matrix);
aux_data = hypre_AuxParCSRMatrixAuxData(aux_matrix);
local_j = aux_j[row_local];
local_data = aux_data[row_local];
space = row_space[row_local];
old_size = row_length[row_local];
size = space - old_size;
if (size < n)
{
size = n - size;
tmp_j = hypre_CTAlloc(HYPRE_BigInt, size, HYPRE_MEMORY_HOST);
tmp_data = hypre_CTAlloc(HYPRE_Complex, size, HYPRE_MEMORY_HOST);
}
else
{
tmp_j = NULL;
}
tmp_indx = 0;
not_found = 1;
size = old_size;
for (i=0; i < n; i++)
{
for (j=0; j < old_size; j++)
{
if (local_j[j] == cols[indx])
{
local_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (size < space)
{
local_j[size] = cols[indx];
local_data[size++] = values[indx];
}
else
{
tmp_j[tmp_indx] = cols[indx];
tmp_data[tmp_indx++] = values[indx];
}
}
not_found = 1;
indx++;
}
row_length[row_local] = size+tmp_indx;
if (tmp_indx)
{
aux_j[row_local] = hypre_TReAlloc(aux_j[row_local], HYPRE_BigInt,
size+tmp_indx, HYPRE_MEMORY_HOST);
aux_data[row_local] = hypre_TReAlloc(aux_data[row_local],
HYPRE_Complex, size+tmp_indx, HYPRE_MEMORY_HOST);
row_space[row_local] = size+tmp_indx;
local_j = aux_j[row_local];
local_data = aux_data[row_local];
}
cnt = size;
for (i=0; i < tmp_indx; i++)
{
local_j[cnt] = tmp_j[i];
local_data[cnt++] = tmp_data[i];
}
if (tmp_j)
{
hypre_TFree(tmp_j, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_data, HYPRE_MEMORY_HOST);
}
}
else /* insert immediately into data in ParCSRMatrix structure */
{
HYPRE_BigInt *big_offd_j;
offd_indx = hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local];
diag_indx = hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local];
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
if (num_procs > 1)
{
big_offd_j = hypre_CSRMatrixBigJ(offd);
offd_data = hypre_CSRMatrixData(offd);
if (!big_offd_j)
{
big_offd_j = hypre_CTAlloc(HYPRE_BigInt, offd_i[hypre_CSRMatrixNumRows(offd)],
hypre_CSRMatrixMemoryLocation(offd));
hypre_CSRMatrixBigJ(offd) = big_offd_j;
}
}
cnt_diag = diag_indx;
cnt_offd = offd_indx;
diag_space = diag_i[row_local+1];
offd_space = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
for (j=offd_i[row_local]; j < offd_indx; j++)
{
if (big_offd_j[j] == cols[indx])
{
offd_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_offd < offd_space)
{
big_offd_j[cnt_offd] = cols[indx];
offd_data[cnt_offd++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements!\n",
row);
}
/* return 1;*/
return hypre_error_flag;
}
}
not_found = 1;
}
else /* insert into diag */
{
HYPRE_Int col_j = (HYPRE_Int)( cols[indx] - col_0);
for (j=diag_i[row_local]; j < diag_indx; j++)
{
if (diag_j[j] == col_j)
{
diag_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_diag < diag_space)
{
diag_j[cnt_diag] = col_j;
diag_data[cnt_diag++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements !\n",
row);
}
/* return 1; */
return hypre_error_flag;
}
}
not_found = 1;
}
indx++;
}
hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local] = cnt_diag;
hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local] = cnt_offd;
}
}
/* not my row */
else
{
current_num_elmts
= hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
max_off_proc_elmts
= hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data = hypre_AuxParCSRMatrixOffProcData(aux_matrix);
if (!max_off_proc_elmts)
{
max_off_proc_elmts = hypre_max(n,1000);
hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix) =
max_off_proc_elmts;
hypre_AuxParCSRMatrixOffProcI(aux_matrix)
= hypre_CTAlloc(HYPRE_BigInt, 2*max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcJ(aux_matrix)
= hypre_CTAlloc(HYPRE_BigInt, max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcData(aux_matrix)
= hypre_CTAlloc(HYPRE_Complex, max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data = hypre_AuxParCSRMatrixOffProcData(aux_matrix);
}
else if (current_num_elmts + n > max_off_proc_elmts)
{
max_off_proc_elmts += 3*n;
off_proc_i = hypre_TReAlloc(off_proc_i, HYPRE_BigInt, 2*max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_j = hypre_TReAlloc(off_proc_j, HYPRE_BigInt, max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_data = hypre_TReAlloc(off_proc_data,HYPRE_Complex,
max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix)
= max_off_proc_elmts;
hypre_AuxParCSRMatrixOffProcI(aux_matrix) = off_proc_i;
hypre_AuxParCSRMatrixOffProcJ(aux_matrix) = off_proc_j;
hypre_AuxParCSRMatrixOffProcData(aux_matrix) = off_proc_data;
}
off_proc_i[off_proc_i_indx++] = row;
off_proc_i[off_proc_i_indx++] = n;
for (i=0; i < n; i++)
{
off_proc_j[current_num_elmts] = cols[indx];
off_proc_data[current_num_elmts++] = values[indx++];
}
hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix) = off_proc_i_indx;
hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix)
= current_num_elmts;
}
}
}
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixDestroyParCSR
*
* frees an IJMatrix
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixDestroyParCSR(hypre_IJMatrix *matrix)
{
hypre_ParCSRMatrixDestroy((hypre_ParCSRMatrix *)hypre_IJMatrixObject(matrix));
hypre_AuxParCSRMatrixDestroy((hypre_AuxParCSRMatrix*)hypre_IJMatrixTranslator(matrix));
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixAssembleOffProcValsParCSR
*
* This is for handling set and get values calls to off-proc. entries -
* it is called from matrix assemble. There is an alternate version for
* when the assumed partition is being used.
*
*****************************************************************************/
#ifndef HYPRE_NO_GLOBAL_PARTITION
HYPRE_Int
hypre_IJMatrixAssembleOffProcValsParCSR( hypre_IJMatrix *matrix,
HYPRE_Int off_proc_i_indx,
HYPRE_Int max_off_proc_elmts,
HYPRE_Int current_num_elmts,
HYPRE_BigInt *off_proc_i,
HYPRE_BigInt *off_proc_j,
HYPRE_Complex *off_proc_data )
{
MPI_Comm comm = hypre_IJMatrixComm(matrix);
hypre_MPI_Request *requests = NULL;
hypre_MPI_Status *status = NULL;
HYPRE_Int i, ii, j, j2, jj, n, row_index = 0;
HYPRE_BigInt row;
HYPRE_Int iii, iid, indx, ip;
HYPRE_Int proc_id, num_procs, my_id;
HYPRE_Int num_sends, num_sends3;
HYPRE_Int num_recvs;
HYPRE_Int num_requests;
HYPRE_Int vec_start, vec_len;
HYPRE_Int *send_procs;
HYPRE_Int *chunks;
HYPRE_BigInt *send_i;
HYPRE_Int *send_map_starts;
HYPRE_Int *dbl_send_map_starts;
HYPRE_Int *recv_procs;
HYPRE_Int *recv_chunks;
HYPRE_BigInt *recv_i;
HYPRE_Int *recv_vec_starts;
HYPRE_Int *dbl_recv_vec_starts;
HYPRE_Int *info;
HYPRE_Int *int_buffer;
HYPRE_Int *proc_id_mem;
HYPRE_BigInt *partitioning;
HYPRE_Int *displs;
HYPRE_Int *recv_buf;
HYPRE_Complex *send_data;
HYPRE_Complex *recv_data;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
partitioning = hypre_IJMatrixRowPartitioning(matrix);
info = hypre_CTAlloc(HYPRE_Int, num_procs, HYPRE_MEMORY_HOST);
chunks = hypre_CTAlloc(HYPRE_Int, num_procs, HYPRE_MEMORY_HOST);
proc_id_mem = hypre_CTAlloc(HYPRE_Int, off_proc_i_indx/2, HYPRE_MEMORY_HOST);
j=0;
for (i=0; i < off_proc_i_indx; i++)
{
row = off_proc_i[i++];
//if (row < 0) row = -row-1;
n = (HYPRE_Int)off_proc_i[i];
proc_id = hypre_FindProc(partitioning,row,num_procs);
proc_id_mem[j++] = proc_id;
info[proc_id] += n;
chunks[proc_id]++;
}
/* determine send_procs and amount of data to be sent */
num_sends = 0;
for (i=0; i < num_procs; i++)
{
if (info[i])
{
num_sends++;
}
}
send_procs = hypre_CTAlloc(HYPRE_Int, num_sends, HYPRE_MEMORY_HOST);
send_map_starts = hypre_CTAlloc(HYPRE_Int, num_sends+1, HYPRE_MEMORY_HOST);
dbl_send_map_starts = hypre_CTAlloc(HYPRE_Int, num_sends+1, HYPRE_MEMORY_HOST);
num_sends3 = 3*num_sends;
int_buffer = hypre_CTAlloc(HYPRE_Int, 3*num_sends, HYPRE_MEMORY_HOST);
j = 0;
j2 = 0;
send_map_starts[0] = 0;
dbl_send_map_starts[0] = 0;
for (i=0; i < num_procs; i++)
{
if (info[i])
{
send_procs[j++] = i;
send_map_starts[j] = send_map_starts[j-1]+2*chunks[i]+info[i];
dbl_send_map_starts[j] = dbl_send_map_starts[j-1]+info[i];
int_buffer[j2++] = i;
int_buffer[j2++] = chunks[i];
int_buffer[j2++] = info[i];
}
}
hypre_TFree(chunks, HYPRE_MEMORY_HOST);
hypre_MPI_Allgather(&num_sends3,1,HYPRE_MPI_INT,info,1,HYPRE_MPI_INT,comm);
displs = hypre_CTAlloc(HYPRE_Int, num_procs+1, HYPRE_MEMORY_HOST);
displs[0] = 0;
for (i=1; i < num_procs+1; i++)
{
displs[i] = displs[i-1]+info[i-1];
}
recv_buf = hypre_CTAlloc(HYPRE_Int, displs[num_procs], HYPRE_MEMORY_HOST);
hypre_MPI_Allgatherv(int_buffer,num_sends3,HYPRE_MPI_INT,recv_buf,info,displs,
HYPRE_MPI_INT,comm);
hypre_TFree(int_buffer, HYPRE_MEMORY_HOST);
hypre_TFree(info, HYPRE_MEMORY_HOST);
/* determine recv procs and amount of data to be received */
num_recvs = 0;
for (j=0; j < displs[num_procs]; j+=3)
{
if (recv_buf[j] == my_id)
{
num_recvs++;
}
}
recv_procs = hypre_CTAlloc(HYPRE_Int, num_recvs, HYPRE_MEMORY_HOST);
recv_chunks = hypre_CTAlloc(HYPRE_Int, num_recvs, HYPRE_MEMORY_HOST);
recv_vec_starts = hypre_CTAlloc(HYPRE_Int, num_recvs+1, HYPRE_MEMORY_HOST);
dbl_recv_vec_starts = hypre_CTAlloc(HYPRE_Int, num_recvs+1, HYPRE_MEMORY_HOST);
j2 = 0;
recv_vec_starts[0] = 0;
dbl_recv_vec_starts[0] = 0;
for (i=0; i < num_procs; i++)
{
for (j=displs[i]; j < displs[i+1]; j+=3)
{
if (recv_buf[j] == my_id)
{
recv_procs[j2] = i;
recv_chunks[j2++] = recv_buf[j+1];
recv_vec_starts[j2] = recv_vec_starts[j2-1]+2*recv_buf[j+1]
+recv_buf[j+2];
dbl_recv_vec_starts[j2] = dbl_recv_vec_starts[j2-1]+recv_buf[j+2];
}
if (j2 == num_recvs)
{
break;
}
}
}
hypre_TFree(recv_buf, HYPRE_MEMORY_HOST);
hypre_TFree(displs, HYPRE_MEMORY_HOST);
/* set up data to be sent to send procs */
/* send_i contains for each send proc : row no., no. of elmts and column
indices, send_data contains corresponding values */
send_i = hypre_CTAlloc(HYPRE_BigInt, send_map_starts[num_sends], HYPRE_MEMORY_HOST);
send_data = hypre_CTAlloc(HYPRE_Complex, dbl_send_map_starts[num_sends], HYPRE_MEMORY_HOST);
recv_i = hypre_CTAlloc(HYPRE_BigInt, recv_vec_starts[num_recvs], HYPRE_MEMORY_HOST);
recv_data = hypre_CTAlloc(HYPRE_Complex, dbl_recv_vec_starts[num_recvs], HYPRE_MEMORY_HOST);
j=0;
jj=0;
for (i=0; i < off_proc_i_indx; i++)
{
row = off_proc_i[i++];
n = (HYPRE_Int)off_proc_i[i];
proc_id = proc_id_mem[i/2];
indx = hypre_BinarySearch(send_procs,proc_id,num_sends);
iii = send_map_starts[indx];
iid = dbl_send_map_starts[indx];
send_i[iii++] = row;
send_i[iii++] = (HYPRE_BigInt) n;
for (ii = 0; ii < n; ii++)
{
send_i[iii++] = off_proc_j[jj];
send_data[iid++] = off_proc_data[jj++];
}
send_map_starts[indx] = iii;
dbl_send_map_starts[indx] = iid;
}
hypre_TFree(proc_id_mem, HYPRE_MEMORY_HOST);
for (i=num_sends; i > 0; i--)
{
send_map_starts[i] = send_map_starts[i-1];
dbl_send_map_starts[i] = dbl_send_map_starts[i-1];
}
send_map_starts[0] = 0;
dbl_send_map_starts[0] = 0;
num_requests = num_recvs+num_sends;
if (num_requests)
{
requests = hypre_CTAlloc(hypre_MPI_Request, num_requests, HYPRE_MEMORY_HOST);
status = hypre_CTAlloc(hypre_MPI_Status, num_requests, HYPRE_MEMORY_HOST);
}
j=0;
for (i=0; i < num_recvs; i++)
{
vec_start = recv_vec_starts[i];
vec_len = recv_vec_starts[i+1] - vec_start;
ip = recv_procs[i];
hypre_MPI_Irecv(&recv_i[vec_start], vec_len, HYPRE_MPI_BIG_INT, ip, 0, comm,
&requests[j++]);
}
for (i=0; i < num_sends; i++)
{
vec_start = send_map_starts[i];
vec_len = send_map_starts[i+1] - vec_start;
ip = send_procs[i];
hypre_MPI_Isend(&send_i[vec_start], vec_len, HYPRE_MPI_BIG_INT, ip, 0, comm,
&requests[j++]);
}
if (num_requests)
{
hypre_MPI_Waitall(num_requests, requests, status);
}
j=0;
for (i=0; i < num_recvs; i++)
{
vec_start = dbl_recv_vec_starts[i];
vec_len = dbl_recv_vec_starts[i+1] - vec_start;
ip = recv_procs[i];
hypre_MPI_Irecv(&recv_data[vec_start], vec_len, HYPRE_MPI_COMPLEX,
ip, 0, comm, &requests[j++]);
}
for (i=0; i < num_sends; i++)
{
vec_start = dbl_send_map_starts[i];
vec_len = dbl_send_map_starts[i+1] - vec_start;
ip = send_procs[i];
hypre_MPI_Isend(&send_data[vec_start], vec_len, HYPRE_MPI_COMPLEX,
ip, 0, comm, &requests[j++]);
}
if (num_requests)
{
hypre_MPI_Waitall(num_requests, requests, status);
hypre_TFree(requests, HYPRE_MEMORY_HOST);
hypre_TFree(status, HYPRE_MEMORY_HOST);
}
hypre_TFree(send_i, HYPRE_MEMORY_HOST);
hypre_TFree(send_data, HYPRE_MEMORY_HOST);
hypre_TFree(send_procs, HYPRE_MEMORY_HOST);
hypre_TFree(send_map_starts, HYPRE_MEMORY_HOST);
hypre_TFree(dbl_send_map_starts, HYPRE_MEMORY_HOST);
hypre_TFree(recv_procs, HYPRE_MEMORY_HOST);
hypre_TFree(recv_vec_starts, HYPRE_MEMORY_HOST);
hypre_TFree(dbl_recv_vec_starts, HYPRE_MEMORY_HOST);
j = 0;
j2 = 0;
for (i=0; i < num_recvs; i++)
{
for (ii=0; ii < recv_chunks[i]; ii++)
{
row = recv_i[j];
HYPRE_Int rcvi = (HYPRE_Int) recv_i[j+1];
hypre_IJMatrixAddToValuesParCSR(matrix,1,&rcvi,&row,&row_index,
&recv_i[j+2],&recv_data[j2]);
j2 += recv_i[j+1];
j += recv_i[j+1]+2;
}
}
hypre_TFree(recv_chunks, HYPRE_MEMORY_HOST);
hypre_TFree(recv_i, HYPRE_MEMORY_HOST);
hypre_TFree(recv_data, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
#else
/* assumed partition version */
HYPRE_Int
hypre_IJMatrixAssembleOffProcValsParCSR( hypre_IJMatrix *matrix,
HYPRE_Int off_proc_i_indx,
HYPRE_Int max_off_proc_elmts,
HYPRE_Int current_num_elmts,
HYPRE_BigInt *off_proc_i,
HYPRE_BigInt *off_proc_j,
HYPRE_Complex *off_proc_data )
{
MPI_Comm comm = hypre_IJMatrixComm(matrix);
HYPRE_Int i, j, k, in_i;
HYPRE_Int myid;
HYPRE_Int proc_id, last_proc, prev_id, tmp_id;
HYPRE_Int max_response_size;
HYPRE_BigInt global_num_cols;
HYPRE_BigInt global_first_col;
HYPRE_BigInt global_first_row;
HYPRE_Int ex_num_contacts = 0, num_rows = 0;
HYPRE_BigInt range_start, range_end;
HYPRE_Int num_elements;
HYPRE_Int storage;
HYPRE_Int indx;
HYPRE_BigInt row;
HYPRE_Int num_ranges, row_index = 0;
HYPRE_Int num_recvs;
HYPRE_BigInt upper_bound;
HYPRE_Int counter;
HYPRE_Int num_real_procs;
HYPRE_Int /*current_proc,*/ original_proc_indx;
HYPRE_BigInt *row_list=NULL;
HYPRE_Int *row_list_num_elements=NULL;
HYPRE_Int *a_proc_id=NULL, *orig_order=NULL;
HYPRE_Int *real_proc_id = NULL, *us_real_proc_id = NULL;
HYPRE_Int *ex_contact_procs = NULL, *ex_contact_vec_starts = NULL;
HYPRE_BigInt *ex_contact_buf = NULL;
HYPRE_Int *recv_starts=NULL;
HYPRE_BigInt *response_buf = NULL;
HYPRE_Int *response_buf_starts=NULL;
HYPRE_Int *num_rows_per_proc = NULL, *num_elements_total = NULL;
HYPRE_Int *argsort_contact_procs = NULL;
HYPRE_Int obj_size_bytes, complex_size;
HYPRE_BigInt big_int_size;
HYPRE_Int tmp_int;
HYPRE_BigInt tmp_big_int;
HYPRE_BigInt *col_ptr;
HYPRE_BigInt *big_int_data = NULL;
HYPRE_Int big_int_data_size = 0, complex_data_size = 0;
void *void_contact_buf = NULL;
void *index_ptr;
void *recv_data_ptr;
HYPRE_Complex tmp_complex;
HYPRE_Complex *col_data_ptr;
HYPRE_Complex *complex_data = NULL;
hypre_DataExchangeResponse response_obj1, response_obj2;
hypre_ProcListElements send_proc_obj;
hypre_IJAssumedPart *apart;
hypre_MPI_Comm_rank(comm, &myid);
global_num_cols = hypre_IJMatrixGlobalNumCols(matrix);
global_first_col = hypre_IJMatrixGlobalFirstCol(matrix);
global_first_row = hypre_IJMatrixGlobalFirstRow(matrix);
num_rows = off_proc_i_indx/2;
/* verify that we have created the assumed partition */
if (hypre_IJMatrixAssumedPart(matrix) == NULL)
{
hypre_IJMatrixCreateAssumedPartition(matrix);
}
apart = (hypre_IJAssumedPart*) hypre_IJMatrixAssumedPart(matrix);
/*if (hypre_ParCSRMatrixAssumedPartition(par_matrix) == NULL)
{
hypre_ParCSRMatrixCreateAssumedPartition(par_matrix);
}
apart = hypre_ParCSRMatrixAssumedPartition(par_matrix);*/
row_list = hypre_CTAlloc(HYPRE_BigInt, num_rows, HYPRE_MEMORY_HOST);
row_list_num_elements = hypre_CTAlloc(HYPRE_Int, num_rows, HYPRE_MEMORY_HOST);
a_proc_id = hypre_CTAlloc(HYPRE_Int, num_rows, HYPRE_MEMORY_HOST);
orig_order = hypre_CTAlloc(HYPRE_Int, num_rows, HYPRE_MEMORY_HOST);
real_proc_id = hypre_CTAlloc(HYPRE_Int, num_rows, HYPRE_MEMORY_HOST);
/* get the assumed processor id for each row */
if (num_rows > 0 )
{
for (i=0; i < num_rows; i++)
{
row = off_proc_i[i*2];
//if (row < 0) row = -row - 1;
row_list[i] = row;
row_list_num_elements[i] = off_proc_i[i*2+1];
hypre_GetAssumedPartitionProcFromRow(comm, row, global_first_row,
global_num_cols, &proc_id);
a_proc_id[i] = proc_id;
orig_order[i] = i;
}
/* now we need to find the actual order of each row - sort on row -
this will result in proc ids sorted also...*/
hypre_BigQsortb2i(row_list, a_proc_id, orig_order, 0, num_rows -1);
/* calculate the number of contacts */
ex_num_contacts = 1;
last_proc = a_proc_id[0];
for (i=1; i < num_rows; i++)
{
if (a_proc_id[i] > last_proc)
{
ex_num_contacts++;
last_proc = a_proc_id[i];
}
}
}
/* now we will go through a create a contact list - need to contact assumed
processors and find out who the actual row owner is - we will contact with
a range (2 numbers) */
ex_contact_procs = hypre_CTAlloc(HYPRE_Int, ex_num_contacts, HYPRE_MEMORY_HOST);
ex_contact_vec_starts = hypre_CTAlloc(HYPRE_Int, ex_num_contacts+1, HYPRE_MEMORY_HOST);
ex_contact_buf = hypre_CTAlloc(HYPRE_BigInt, ex_num_contacts*2, HYPRE_MEMORY_HOST);
counter = 0;
range_end = -1;
for (i=0; i< num_rows; i++)
{
if (row_list[i] > range_end)
{
/* assumed proc */
proc_id = a_proc_id[i];
/* end of prev. range */
if (counter > 0)
{
ex_contact_buf[counter*2 - 1] = row_list[i-1];
}
/*start new range*/
ex_contact_procs[counter] = proc_id;
ex_contact_vec_starts[counter] = counter*2;
ex_contact_buf[counter*2] = row_list[i];
counter++;
hypre_GetAssumedPartitionRowRange(comm, proc_id, global_first_col, global_num_cols,
&range_start, &range_end);
}
}
/* finish the starts */
ex_contact_vec_starts[counter] = counter*2;
/* finish the last range */
if (counter > 0)
{
ex_contact_buf[counter*2 - 1] = row_list[num_rows - 1];
}
/* don't allocate space for responses */
/* create response object - can use same fill response as used in the commpkg
routine */
response_obj1.fill_response = hypre_RangeFillResponseIJDetermineRecvProcs;
response_obj1.data1 = apart; /* this is necessary so we can fill responses*/
response_obj1.data2 = NULL;
max_response_size = 6; /* 6 means we can fit 3 ranges*/
hypre_DataExchangeList(ex_num_contacts, ex_contact_procs,
ex_contact_buf, ex_contact_vec_starts, sizeof(HYPRE_BigInt),
sizeof(HYPRE_BigInt), &response_obj1, max_response_size, 1,
comm, (void**) &response_buf, &response_buf_starts);
/* now response_buf contains a proc_id followed by a range upper bound */
hypre_TFree(ex_contact_procs, HYPRE_MEMORY_HOST);
hypre_TFree(ex_contact_buf, HYPRE_MEMORY_HOST);
hypre_TFree(ex_contact_vec_starts, HYPRE_MEMORY_HOST);
hypre_TFree(a_proc_id, HYPRE_MEMORY_HOST);
/*how many ranges were returned?*/
num_ranges = response_buf_starts[ex_num_contacts];
num_ranges = num_ranges/2;
prev_id = -1;
j = 0;
counter = 0;
num_real_procs = 0;
/* loop through ranges - create a list of actual processor ids*/
for (i=0; i<num_ranges; i++)
{
upper_bound = response_buf[i*2+1];
counter = 0;
tmp_id = response_buf[i*2];
/* loop through row_list entries - counting how many are in the range */
while (j < num_rows && row_list[j] <= upper_bound)
{
real_proc_id[j] = tmp_id;
j++;
counter++;
}
if (counter > 0 && tmp_id != prev_id)
{
num_real_procs++;
}
prev_id = tmp_id;
}
/* now we have the list of real processor ids (real_proc_id) - and the number
of distinct ones - so now we can set up data to be sent - we have
HYPRE_Int data and HYPRE_Complex data. that we will need to pack
together */
/* first find out how many rows and elements we need to send per proc - so we
can do storage */
ex_contact_procs = hypre_CTAlloc(HYPRE_Int, num_real_procs, HYPRE_MEMORY_HOST);
num_rows_per_proc = hypre_CTAlloc(HYPRE_Int, num_real_procs, HYPRE_MEMORY_HOST);
num_elements_total = hypre_CTAlloc(HYPRE_Int, num_real_procs, HYPRE_MEMORY_HOST);
counter = 0;
if (num_real_procs > 0 )
{
ex_contact_procs[0] = real_proc_id[0];
num_rows_per_proc[0] = 1;
num_elements_total[0] = row_list_num_elements[orig_order[0]];
/* loop through real procs - these are sorted (row_list is sorted also)*/
for (i=1; i < num_rows; i++)
{
if (real_proc_id[i] == ex_contact_procs[counter]) /* same processor */
{
num_rows_per_proc[counter] += 1; /*another row */
num_elements_total[counter] += row_list_num_elements[orig_order[i]];
}
else /* new processor */
{
counter++;
ex_contact_procs[counter] = real_proc_id[i];
num_rows_per_proc[counter] = 1;
num_elements_total[counter] = row_list_num_elements[orig_order[i]];
}
}
}
/* to pack together, we need to use the largest obj. size of
(HYPRE_Int) and (HYPRE_Complex) - if these are much different, then we are
wasting some storage, but I do not think that it will be a
large amount since this function should not be used on really
large amounts of data anyway*/
big_int_size = sizeof(HYPRE_BigInt);
complex_size = sizeof(HYPRE_Complex);
obj_size_bytes = hypre_max(big_int_size, complex_size);
/* set up data to be sent to send procs */
/* for each proc, ex_contact_buf contains #rows, row #,
no. elements, col indicies, col data, row #, no. elements, col
indicies, col data, etc. */
/* first calculate total storage and make vec_starts arrays */
storage = 0;
ex_contact_vec_starts = hypre_CTAlloc(HYPRE_Int, num_real_procs + 1, HYPRE_MEMORY_HOST);
ex_contact_vec_starts[0] = -1;
for (i=0; i < num_real_procs; i++)
{
storage += 1 + 2 * num_rows_per_proc[i] + 2* num_elements_total[i];
ex_contact_vec_starts[i+1] = -storage-1; /* need negative for next loop */
}
hypre_TFree(num_elements_total, HYPRE_MEMORY_HOST);
/*void_contact_buf = hypre_MAlloc(storage*obj_size_bytes);*/
void_contact_buf = hypre_CTAlloc(char, storage*obj_size_bytes, HYPRE_MEMORY_HOST);
index_ptr = void_contact_buf; /* step through with this index */
/* for each proc: #rows, row #, no. elements,
col indicies, col data, row #, no. elements, col indicies, col data, etc. */
/* un-sort real_proc_id - we want to access data arrays in order, so
cheaper to do this*/
us_real_proc_id = hypre_CTAlloc(HYPRE_Int, num_rows, HYPRE_MEMORY_HOST);
for (i=0; i < num_rows; i++)
{
us_real_proc_id[orig_order[i]] = real_proc_id[i];
}
hypre_TFree(real_proc_id, HYPRE_MEMORY_HOST);
counter = 0; /* index into data arrays */
prev_id = -1;
for (i=0; i < num_rows; i++)
{
proc_id = us_real_proc_id[i];
/* can't use row list[i] - you loose the negative signs that differentiate
add/set values */
row = off_proc_i[i*2];
num_elements = row_list_num_elements[i];
/* find position of this processor */
indx = hypre_BinarySearch(ex_contact_procs, proc_id, num_real_procs);
in_i = ex_contact_vec_starts[indx];
index_ptr = (void *) ((char *) void_contact_buf + in_i*obj_size_bytes);
/* first time for this processor - add the number of rows to the buffer */
if (in_i < 0)
{
in_i = -in_i - 1;
/* re-calc. index_ptr since in_i was negative */
index_ptr = (void *) ((char *) void_contact_buf + in_i*obj_size_bytes);
tmp_int = num_rows_per_proc[indx];
hypre_TMemcpy( index_ptr, &tmp_int, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
index_ptr = (void *) ((char *) index_ptr + obj_size_bytes);
in_i++;
}
/* add row # */
hypre_TMemcpy( index_ptr, &row, HYPRE_BigInt, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
index_ptr = (void *) ((char *) index_ptr + obj_size_bytes);
in_i++;
/* add number of elements */
hypre_TMemcpy( index_ptr, &num_elements, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
index_ptr = (void *) ((char *) index_ptr + obj_size_bytes);
in_i++;
/* now add col indices */
for (j=0; j< num_elements; j++)
{
tmp_big_int = off_proc_j[counter+j]; /* col number */
hypre_TMemcpy( index_ptr, &tmp_big_int, HYPRE_BigInt, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
index_ptr = (void *) ((char *) index_ptr + obj_size_bytes);
in_i ++;
}
/* now add data */
for (j=0; j< num_elements; j++)
{
tmp_complex = off_proc_data[counter++]; /* value */
hypre_TMemcpy( index_ptr, &tmp_complex, HYPRE_Complex, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
index_ptr = (void *) ((char *) index_ptr + obj_size_bytes);
in_i++;
}
/* increment the indexes to keep track of where we are - we
* adjust below to be actual starts*/
ex_contact_vec_starts[indx] = in_i;
}
/* some clean up */
hypre_TFree(response_buf, HYPRE_MEMORY_HOST);
hypre_TFree(response_buf_starts, HYPRE_MEMORY_HOST);
hypre_TFree(us_real_proc_id, HYPRE_MEMORY_HOST);
hypre_TFree(orig_order, HYPRE_MEMORY_HOST);
hypre_TFree(row_list, HYPRE_MEMORY_HOST);
hypre_TFree(row_list_num_elements, HYPRE_MEMORY_HOST);
hypre_TFree(num_rows_per_proc, HYPRE_MEMORY_HOST);
for (i=num_real_procs; i > 0; i--)
{
ex_contact_vec_starts[i] = ex_contact_vec_starts[i-1];
}
ex_contact_vec_starts[0] = 0;
/* now send the data */
/***********************************/
/* first get the integer info in send_proc_obj */
/* the response we expect is just a confirmation*/
response_buf = NULL;
response_buf_starts = NULL;
/*build the response object*/
/* use the send_proc_obj for the info kept from contacts */
/*estimate inital storage allocation */
send_proc_obj.length = 0;
send_proc_obj.storage_length = num_real_procs + 5;
send_proc_obj.id =
hypre_CTAlloc(HYPRE_Int, send_proc_obj.storage_length + 1, HYPRE_MEMORY_HOST);
send_proc_obj.vec_starts =
hypre_CTAlloc(HYPRE_Int, send_proc_obj.storage_length + 1, HYPRE_MEMORY_HOST);
send_proc_obj.vec_starts[0] = 0;
send_proc_obj.element_storage_length = storage + 20;
send_proc_obj.v_elements =
hypre_TAlloc(char, obj_size_bytes*send_proc_obj.element_storage_length, HYPRE_MEMORY_HOST);
response_obj2.fill_response = hypre_FillResponseIJOffProcVals;
response_obj2.data1 = NULL;
response_obj2.data2 = &send_proc_obj;
max_response_size = 0;
hypre_DataExchangeList(num_real_procs, ex_contact_procs,
void_contact_buf, ex_contact_vec_starts, obj_size_bytes,
0, &response_obj2, max_response_size, 2,
comm, (void **) &response_buf, &response_buf_starts);
hypre_TFree(response_buf, HYPRE_MEMORY_HOST);
hypre_TFree(response_buf_starts, HYPRE_MEMORY_HOST);
hypre_TFree(ex_contact_procs, HYPRE_MEMORY_HOST);
hypre_TFree(void_contact_buf, HYPRE_MEMORY_HOST);
hypre_TFree(ex_contact_vec_starts, HYPRE_MEMORY_HOST);
/* Now we can unpack the send_proc_objects and call set
and add to values functions. We unpack messages in a
deterministic order, using processor rank */
num_recvs = send_proc_obj.length;
argsort_contact_procs = hypre_CTAlloc(HYPRE_Int, num_recvs, HYPRE_MEMORY_HOST);
for(i=0; i < num_recvs; i++)
{
argsort_contact_procs[i] = i;
}
/* This sort's the id array, but the original indices are stored in
* argsort_contact_procs */
hypre_qsort2i( send_proc_obj.id, argsort_contact_procs, 0, num_recvs-1 );
/* alias */
recv_data_ptr = send_proc_obj.v_elements;
recv_starts = send_proc_obj.vec_starts;
for (i=0; i < num_recvs; i++)
{
/* Find the current processor in order, and reset recv_data_ptr to that processor's message */
original_proc_indx = argsort_contact_procs[i];
/*current_proc = send_proc_obj.id[i];*/
indx = recv_starts[original_proc_indx];
recv_data_ptr = (void *) ((char *) send_proc_obj.v_elements + indx*obj_size_bytes);
/* get the number of rows for this recv */
hypre_TMemcpy( &num_rows, recv_data_ptr, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
recv_data_ptr = (void *) ((char *)recv_data_ptr + obj_size_bytes);
indx++;
for (j=0; j < num_rows; j++) /* for each row: unpack info */
{
/* row # */
hypre_TMemcpy( &row, recv_data_ptr, HYPRE_BigInt, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
recv_data_ptr = (void *) ((char *)recv_data_ptr + obj_size_bytes);
indx++;
/* num elements for this row */
hypre_TMemcpy( &num_elements, recv_data_ptr, HYPRE_Int, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
recv_data_ptr = (void *) ((char *)recv_data_ptr + obj_size_bytes);
indx++;
/* col indices */ /* Need to check this again !!!! */
if (big_int_size == obj_size_bytes)
{
col_ptr = (HYPRE_BigInt *) recv_data_ptr;
recv_data_ptr =
(void *) ((char *)recv_data_ptr + num_elements*obj_size_bytes);
}
else /* copy data */
{
if (big_int_data_size < num_elements)
{
big_int_data = hypre_TReAlloc(big_int_data, HYPRE_BigInt, num_elements + 10, HYPRE_MEMORY_HOST);
}
for (k=0; k< num_elements; k++)
{
hypre_TMemcpy( &big_int_data[k], recv_data_ptr, HYPRE_BigInt, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
recv_data_ptr = (void *) ((char *)recv_data_ptr + obj_size_bytes);
}
col_ptr = big_int_data;
}
/* col data */
if (complex_size == obj_size_bytes)
{
col_data_ptr = (HYPRE_Complex *) recv_data_ptr;
recv_data_ptr =
(void *) ((char *)recv_data_ptr + num_elements*obj_size_bytes);
}
else /* copy data */
{
if (complex_data_size < num_elements)
{
complex_data =
hypre_TReAlloc(complex_data, HYPRE_Complex, num_elements + 10, HYPRE_MEMORY_HOST);
}
for (k=0; k< num_elements; k++)
{
hypre_TMemcpy( &complex_data[k], recv_data_ptr, HYPRE_Complex, 1, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
recv_data_ptr = (void *) ((char *)recv_data_ptr + obj_size_bytes);
}
col_data_ptr = complex_data;
}
hypre_IJMatrixAddToValuesParCSR(matrix,1,&num_elements,&row,&row_index,
col_ptr,col_data_ptr);
indx += (num_elements*2);
}
}
hypre_TFree(send_proc_obj.v_elements, HYPRE_MEMORY_HOST);
hypre_TFree(send_proc_obj.vec_starts, HYPRE_MEMORY_HOST);
hypre_TFree(send_proc_obj.id, HYPRE_MEMORY_HOST);
hypre_TFree(argsort_contact_procs, HYPRE_MEMORY_HOST);
if (big_int_data)
{
hypre_TFree(big_int_data, HYPRE_MEMORY_HOST);
}
if (complex_data)
{
hypre_TFree(complex_data, HYPRE_MEMORY_HOST);
}
return hypre_error_flag;
}
#endif
/*--------------------------------------------------------------------
* hypre_FillResponseIJOffProcVals
* Fill response function for the previous function (2nd data exchange)
*--------------------------------------------------------------------*/
HYPRE_Int
hypre_FillResponseIJOffProcVals(void *p_recv_contact_buf,
HYPRE_Int contact_size,
HYPRE_Int contact_proc,
void *ro,
MPI_Comm comm,
void **p_send_response_buf,
HYPRE_Int *response_message_size )
{
HYPRE_Int myid;
HYPRE_Int index, count, elength;
HYPRE_Int object_size;
void *index_ptr;
hypre_DataExchangeResponse *response_obj = (hypre_DataExchangeResponse*) ro;
hypre_ProcListElements *send_proc_obj = (hypre_ProcListElements*) response_obj->data2;
object_size = hypre_max(sizeof(HYPRE_BigInt), sizeof(HYPRE_Complex));
hypre_MPI_Comm_rank(comm, &myid );
/*check to see if we need to allocate more space in send_proc_obj for vec starts
* and id */
if (send_proc_obj->length == send_proc_obj->storage_length)
{
send_proc_obj->storage_length +=20; /*add space for 20 more contact*/
send_proc_obj->vec_starts = hypre_TReAlloc(send_proc_obj->vec_starts,HYPRE_Int,
send_proc_obj->storage_length + 1, HYPRE_MEMORY_HOST);
if( send_proc_obj->id != NULL)
{
send_proc_obj->id = hypre_TReAlloc(send_proc_obj->id, HYPRE_Int,
send_proc_obj->storage_length + 1, HYPRE_MEMORY_HOST);
}
}
/*initialize*/
count = send_proc_obj->length;
index = send_proc_obj->vec_starts[count]; /* current number of elements */
if( send_proc_obj->id != NULL)
{
send_proc_obj->id[count] = contact_proc;
}
/*do we need more storage for the elements?*/
if (send_proc_obj->element_storage_length < index + contact_size)
{
elength = hypre_max(contact_size, 100);
elength += index;
send_proc_obj->v_elements = hypre_TReAlloc((char*)send_proc_obj->v_elements,
char, elength*object_size, HYPRE_MEMORY_HOST);
send_proc_obj->element_storage_length = elength;
}
/*populate send_proc_obj*/
index_ptr = (void *) ((char *) send_proc_obj->v_elements + index*object_size);
hypre_TMemcpy(index_ptr, p_recv_contact_buf , char, object_size*contact_size, HYPRE_MEMORY_HOST, HYPRE_MEMORY_HOST);
send_proc_obj->vec_starts[count+1] = index + contact_size;
send_proc_obj->length++;
/* output - no message to return (confirmation) */
*response_message_size = 0;
return hypre_error_flag;
}
/*--------------------------------------------------------------------*/
HYPRE_Int hypre_FindProc(HYPRE_BigInt *list, HYPRE_BigInt value, HYPRE_Int list_length)
{
HYPRE_Int low, high, m;
low = 0;
high = list_length;
if (value >= list[high] || value < list[low])
{
return -1;
}
else
{
while (low+1 < high)
{
m = (low + high) / 2;
if (value < list[m])
{
high = m;
}
else if (value >= list[m])
{
low = m;
}
}
return low;
}
}
/******************************************************************************
*
* hypre_IJMatrixAssembleParCSR
*
* assembles IJMatrix from AuxParCSRMatrix auxiliary structure
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixAssembleParCSR(hypre_IJMatrix *matrix)
{
MPI_Comm comm = hypre_IJMatrixComm(matrix);
hypre_ParCSRMatrix *par_matrix = (hypre_ParCSRMatrix*) hypre_IJMatrixObject(matrix);
hypre_AuxParCSRMatrix *aux_matrix = (hypre_AuxParCSRMatrix*) hypre_IJMatrixTranslator(matrix);
HYPRE_BigInt *row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
HYPRE_BigInt *col_partitioning = hypre_IJMatrixColPartitioning(matrix);
hypre_CSRMatrix *diag = hypre_ParCSRMatrixDiag(par_matrix);
hypre_CSRMatrix *offd = hypre_ParCSRMatrixOffd(par_matrix);
HYPRE_Int *diag_i = hypre_CSRMatrixI(diag);
HYPRE_Int *offd_i = hypre_CSRMatrixI(offd);
HYPRE_Int *diag_j;
HYPRE_Int *offd_j = NULL;
HYPRE_Complex *diag_data;
HYPRE_Complex *offd_data = NULL;
HYPRE_Int i, j, j0;
HYPRE_Int num_cols_offd;
HYPRE_Int *diag_pos;
HYPRE_BigInt *col_map_offd;
HYPRE_Int *row_length;
HYPRE_BigInt **aux_j;
HYPRE_Complex **aux_data;
HYPRE_Int my_id, num_procs;
HYPRE_Int num_rows;
HYPRE_Int i_diag, i_offd;
HYPRE_BigInt col_0, col_n;
HYPRE_Int nnz_offd;
HYPRE_BigInt *big_offd_j;
HYPRE_BigInt *tmp_j;
HYPRE_Complex temp;
#ifdef HYPRE_NO_GLOBAL_PARTITION
HYPRE_BigInt base = hypre_IJMatrixGlobalFirstCol(matrix);
#else
HYPRE_BigInt base = col_partitioning[0];
#endif
HYPRE_Int off_proc_i_indx;
HYPRE_Int max_off_proc_elmts;
HYPRE_Int current_num_elmts;
HYPRE_BigInt *off_proc_i;
HYPRE_BigInt *off_proc_j;
HYPRE_Complex *off_proc_data;
HYPRE_Int offd_proc_elmts;
//HYPRE_Int new_off_proc_i_indx;
//HYPRE_Int cancel_indx;
//HYPRE_Int col_indx;
//HYPRE_Int current_indx;
//HYPRE_Int current_i;
//HYPRE_Int row_len;
HYPRE_Int max_num_threads;
HYPRE_Int aux_flag, aux_flag_global;
max_num_threads = hypre_NumThreads();
/* first find out if anyone has an aux_matrix, and create one if you don't
* have one, but other procs do */
aux_flag = 0;
aux_flag_global = 0;
if (aux_matrix)
{
aux_flag = 1;
}
hypre_MPI_Allreduce(&aux_flag, &aux_flag_global, 1, HYPRE_MPI_INT, hypre_MPI_SUM, comm);
if (aux_flag_global && (!aux_flag))
{
hypre_MPI_Comm_rank(comm, &my_id);
num_rows = (HYPRE_Int)(row_partitioning[my_id+1] - row_partitioning[my_id]);
hypre_AuxParCSRMatrixCreate(&aux_matrix, num_rows, num_rows, NULL);
hypre_AuxParCSRMatrixNeedAux(aux_matrix) = 0;
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
if (aux_matrix)
{
/* first delete all cancelled elements */
/*cancel_indx = hypre_AuxParCSRMatrixCancelIndx(aux_matrix);
if (cancel_indx)
{
current_num_elmts=hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
off_proc_i=hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j=hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data=hypre_AuxParCSRMatrixOffProcData(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
col_indx = 0;
current_i = 0;
current_indx = 0;
new_off_proc_i_indx = off_proc_i_indx;
for (i=0; i < off_proc_i_indx; i= i+2)
{
row_len = off_proc_i[i+1];
for (j=0; j < off_proc_i[i+1]; j++)
{
if (off_proc_j[col_indx] == -1)
{
col_indx++;
row_len--;
current_num_elmts--;
}
else
{
off_proc_j[current_indx] = off_proc_j[col_indx];
off_proc_data[current_indx++] = off_proc_data[col_indx++];
}
}
if (row_len)
{
off_proc_i[current_i] = off_proc_i[i];
off_proc_i[current_i+1] = row_len;
current_i += 2;
}
else
{
new_off_proc_i_indx -= 2;
}
}
hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix) = new_off_proc_i_indx;
hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix) = current_num_elmts;
}*/
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
hypre_MPI_Allreduce(&off_proc_i_indx, &offd_proc_elmts, 1, HYPRE_MPI_INT,
hypre_MPI_SUM, comm);
if (offd_proc_elmts)
{
max_off_proc_elmts=hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix);
current_num_elmts=hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
off_proc_i=hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j=hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data=hypre_AuxParCSRMatrixOffProcData(aux_matrix);
hypre_IJMatrixAssembleOffProcValsParCSR(
matrix,off_proc_i_indx, max_off_proc_elmts, current_num_elmts,
off_proc_i, off_proc_j, off_proc_data);
}
}
if (hypre_IJMatrixAssembleFlag(matrix) == 0)
{
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
#ifdef HYPRE_NO_GLOBAL_PARTITION
num_rows = (HYPRE_Int)(row_partitioning[1] - row_partitioning[0]);
col_0 = col_partitioning[0];
col_n = col_partitioning[1]-1;
#else
num_rows = (HYPRE_Int)(row_partitioning[my_id+1] - row_partitioning[my_id]);
col_0 = col_partitioning[my_id];
col_n = col_partitioning[my_id+1]-1;
#endif
/* move data into ParCSRMatrix if not there already */
if (hypre_AuxParCSRMatrixNeedAux(aux_matrix))
{
HYPRE_Int *diag_array, *offd_array;
diag_array = hypre_CTAlloc(HYPRE_Int, max_num_threads, HYPRE_MEMORY_HOST);
offd_array = hypre_CTAlloc(HYPRE_Int, max_num_threads, HYPRE_MEMORY_HOST);
aux_j = hypre_AuxParCSRMatrixAuxJ(aux_matrix);
aux_data = hypre_AuxParCSRMatrixAuxData(aux_matrix);
row_length = hypre_AuxParCSRMatrixRowLength(aux_matrix);
diag_pos = hypre_CTAlloc(HYPRE_Int, num_rows, HYPRE_MEMORY_HOST);
i_diag = 0;
i_offd = 0;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(i, j, i_diag, i_offd)
#endif
{
HYPRE_BigInt *local_j;
HYPRE_Complex *local_data;
HYPRE_Int rest, size, ns, ne;
HYPRE_Int num_threads, my_thread_num;
num_threads = hypre_NumActiveThreads();
my_thread_num = hypre_GetThreadNum();
size = num_rows/num_threads;
rest = num_rows - size*num_threads;
if (my_thread_num < rest)
{
ns = my_thread_num*(size + 1);
ne = (my_thread_num+1)*(size + 1);
}
else
{
ns = my_thread_num*size + rest;
ne = (my_thread_num+1)*size + rest;
}
i_diag = 0;
i_offd = 0;
for (i=ns; i < ne; i++)
{
local_j = aux_j[i];
local_data = aux_data[i];
diag_pos[i] = -1;
for (j=0; j < row_length[i]; j++)
{
if (local_j[j] < col_0 || local_j[j] > col_n)
{
i_offd++;
}
else
{
i_diag++;
if ((HYPRE_Int)(local_j[j]-col_0) == i)
{
diag_pos[i] = j;
}
}
}
}
diag_array[my_thread_num] = i_diag;
offd_array[my_thread_num] = i_offd;
#ifdef HYPRE_USING_OPENMP
#pragma omp barrier
#endif
if (my_thread_num == 0)
{
i_diag = 0;
i_offd = 0;
for (i = 0; i < num_threads; i++)
{
i_diag += diag_array[i];
i_offd += offd_array[i];
diag_array[i] = i_diag;
offd_array[i] = i_offd;
}
diag_i[num_rows] = i_diag;
offd_i[num_rows] = i_offd;
hypre_TFree(hypre_CSRMatrixJ(diag), hypre_CSRMatrixMemoryLocation(diag));
hypre_TFree(hypre_CSRMatrixData(diag), hypre_CSRMatrixMemoryLocation(diag));
hypre_TFree(hypre_CSRMatrixJ(offd), hypre_CSRMatrixMemoryLocation(offd));
hypre_TFree(hypre_CSRMatrixData(offd), hypre_CSRMatrixMemoryLocation(offd));
hypre_TFree(hypre_CSRMatrixBigJ(offd), hypre_CSRMatrixMemoryLocation(offd));
diag_j = hypre_CTAlloc(HYPRE_Int, i_diag, hypre_CSRMatrixMemoryLocation(diag));
diag_data = hypre_CTAlloc(HYPRE_Complex, i_diag, hypre_CSRMatrixMemoryLocation(diag));
offd_j = hypre_CTAlloc(HYPRE_Int, i_offd, hypre_CSRMatrixMemoryLocation(offd));
offd_data = hypre_CTAlloc(HYPRE_Complex, i_offd, hypre_CSRMatrixMemoryLocation(offd));
big_offd_j = hypre_CTAlloc(HYPRE_BigInt, i_offd, hypre_CSRMatrixMemoryLocation(offd));
}
#ifdef HYPRE_USING_OPENMP
#pragma omp barrier
#endif
if (my_thread_num)
{
i_diag = diag_array[my_thread_num-1];
i_offd = offd_array[my_thread_num-1];
}
else
{
i_diag = 0;
i_offd = 0;
}
for (i=ns; i < ne; i++)
{
diag_i[i] = i_diag;
offd_i[i] = i_offd;
local_j = aux_j[i];
local_data = aux_data[i];
if (diag_pos[i] > -1)
{
diag_j[i_diag] = (HYPRE_Int)(local_j[diag_pos[i]] - col_0);
diag_data[i_diag++] = local_data[diag_pos[i]];
}
for (j=0; j < row_length[i]; j++)
{
if (local_j[j] < col_0 || local_j[j] > col_n)
{
big_offd_j[i_offd] = local_j[j];
offd_data[i_offd++] = local_data[j];
}
else if (j != diag_pos[i])
{
diag_j[i_diag] = (HYPRE_Int)(local_j[j] - col_0);
diag_data[i_diag++] = local_data[j];
}
}
}
} /* end parallel region */
hypre_TFree(diag_array, HYPRE_MEMORY_HOST);
hypre_TFree(offd_array, HYPRE_MEMORY_HOST);
hypre_CSRMatrixJ(diag) = diag_j;
hypre_CSRMatrixData(diag) = diag_data;
hypre_CSRMatrixNumNonzeros(diag) = diag_i[num_rows];
if (offd_i[num_rows] > 0)
{
hypre_CSRMatrixJ(offd) = offd_j;
hypre_CSRMatrixBigJ(offd) = big_offd_j;
hypre_CSRMatrixData(offd) = offd_data;
}
hypre_CSRMatrixNumNonzeros(offd) = offd_i[num_rows];
hypre_TFree(diag_pos, HYPRE_MEMORY_HOST);
}
else
{
/* move diagonal element into first space */
big_offd_j = hypre_CSRMatrixBigJ(offd);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private (i,j,j0,temp)
#endif
for (i = 0; i < num_rows; i++)
{
j0 = diag_i[i];
for (j=j0; j < diag_i[i+1]; j++)
{
if (diag_j[j] == i)
{
temp = diag_data[j0];
diag_data[j0] = diag_data[j];
diag_data[j] = temp;
diag_j[j] = diag_j[j0];
diag_j[j0] = i;
break;
}
}
}
offd_j = hypre_CSRMatrixJ(offd);
if (!offd_j && offd_i[num_rows])
{
offd_j = hypre_CTAlloc(HYPRE_Int, offd_i[num_rows], hypre_CSRMatrixMemoryLocation(offd));
hypre_CSRMatrixJ(offd) = offd_j;
}
}
/* generate the nonzero rows inside offd and diag by calling */
hypre_CSRMatrixSetRownnz(diag);
hypre_CSRMatrixSetRownnz(offd);
/* generate col_map_offd */
nnz_offd = offd_i[num_rows];
if (nnz_offd)
{
tmp_j = hypre_CTAlloc(HYPRE_BigInt, nnz_offd, HYPRE_MEMORY_HOST);
for (i=0; i < nnz_offd; i++)
{
tmp_j[i] = big_offd_j[i];
}
hypre_BigQsort0(tmp_j,0,nnz_offd-1);
num_cols_offd = 1;
for (i=0; i < nnz_offd-1; i++)
{
if (tmp_j[i+1] > tmp_j[i])
{
tmp_j[num_cols_offd++] = tmp_j[i+1];
}
}
col_map_offd = hypre_CTAlloc(HYPRE_BigInt, num_cols_offd, HYPRE_MEMORY_HOST);
for (i=0; i < num_cols_offd; i++)
{
col_map_offd[i] = tmp_j[i];
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i)
#endif
for (i=0; i < nnz_offd; i++)
{
offd_j[i]=hypre_BigBinarySearch(col_map_offd,big_offd_j[i],num_cols_offd);
}
if (base)
{
for (i=0; i < num_cols_offd; i++)
{
col_map_offd[i] -= base;
}
}
hypre_ParCSRMatrixColMapOffd(par_matrix) = col_map_offd;
hypre_CSRMatrixNumCols(offd) = num_cols_offd;
hypre_TFree(tmp_j, HYPRE_MEMORY_HOST);
hypre_TFree(big_offd_j, hypre_CSRMatrixMemoryLocation(offd));
hypre_CSRMatrixBigJ(offd) = NULL;
}
hypre_IJMatrixAssembleFlag(matrix) = 1;
}
hypre_AuxParCSRMatrixDestroy(aux_matrix);
hypre_IJMatrixTranslator(matrix) = NULL;
return hypre_error_flag;
}
/******************************************************************************
*
* IJMatrix_ParCSR interface
*
*****************************************************************************/
#include "_hypre_IJ_mv.h"
#include "../HYPRE.h"
/******************************************************************************
*
* hypre_IJMatrixSetValuesOMPParCSR
*
* sets values in an IJMatrix before assembly,
* use of this routine requires that the values in rows are different from each
* other, i.e rows[i] != rows[j] for i != j
* to ensure accurate threading
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixSetValuesOMPParCSR( hypre_IJMatrix *matrix,
HYPRE_Int nrows,
HYPRE_Int *ncols,
const HYPRE_BigInt *rows,
const HYPRE_Int *row_indexes,
const HYPRE_BigInt *cols,
const HYPRE_Complex *values )
{
hypre_ParCSRMatrix *par_matrix;
hypre_CSRMatrix *diag, *offd;
hypre_AuxParCSRMatrix *aux_matrix;
HYPRE_BigInt *row_partitioning;
HYPRE_BigInt *col_partitioning;
MPI_Comm comm = hypre_IJMatrixComm(matrix);
HYPRE_Int num_procs, my_id;
HYPRE_BigInt col_0, col_n, first;
//HYPRE_Int cancel_indx;
HYPRE_BigInt **aux_j;
HYPRE_Complex **aux_data;
HYPRE_Int *row_length, *row_space;
HYPRE_Int need_aux;
HYPRE_Int *diag_i;
HYPRE_Int *diag_j;
HYPRE_Complex *diag_data;
HYPRE_Int *offd_i;
HYPRE_Int *offd_j;
HYPRE_BigInt *big_offd_j;
HYPRE_Complex *offd_data;
HYPRE_Int pstart;
/*HYPRE_Int current_num_elmts;*/
/*HYPRE_Int max_off_proc_elmts;*/
//HYPRE_Int off_proc_i_indx;
//HYPRE_BigInt *off_proc_i;
//HYPRE_BigInt *off_proc_j;
//HYPRE_Int *offproc_cnt;
HYPRE_Int print_level = hypre_IJMatrixPrintLevel(matrix);
//HYPRE_Int max_num_threads;
HYPRE_Int error_flag = 0;
/*HYPRE_Complex *off_proc_data;*/
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
//max_num_threads = hypre_NumThreads();
par_matrix = (hypre_ParCSRMatrix *) hypre_IJMatrixObject( matrix );
row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
col_partitioning = hypre_IJMatrixColPartitioning(matrix);
//offproc_cnt = hypre_CTAlloc(HYPRE_Int, max_num_threads, HYPRE_MEMORY_HOST);
#ifdef HYPRE_NO_GLOBAL_PARTITION
col_0 = col_partitioning[0];
col_n = col_partitioning[1]-1;
first = hypre_IJMatrixGlobalFirstCol(matrix);
pstart = 0;
#else
col_0 = col_partitioning[my_id];
col_n = col_partitioning[my_id+1]-1;
first = col_partitioning[0];
pstart = my_id;
#endif
if (nrows < 0)
{
hypre_error_in_arg(2);
if (print_level)
{
hypre_printf("Error! nrows negative! HYPRE_IJMatrixSetValues\n");
}
return hypre_error_flag;
}
if (hypre_IJMatrixAssembleFlag(matrix)) /* matrix already assembled*/
{
HYPRE_BigInt *col_map_offd;
HYPRE_Int num_cols_offd;
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
num_cols_offd = hypre_CSRMatrixNumCols(offd);
if (num_cols_offd)
{
col_map_offd = hypre_ParCSRMatrixColMapOffd(par_matrix);
offd_j = hypre_CSRMatrixJ(offd);
offd_data = hypre_CSRMatrixData(offd);
}
aux_matrix = (hypre_AuxParCSRMatrix*) hypre_IJMatrixTranslator(matrix);
/*if (aux_matrix)
{
current_num_elmts
= hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
cancel_indx = hypre_AuxParCSRMatrixCancelIndx(aux_matrix);
}*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel
#endif
{
HYPRE_Int j_offd;
HYPRE_Int num_threads, my_thread_num;
HYPRE_Int len, rest, ns, ne;
HYPRE_Int pos_diag, pos_offd;
HYPRE_Int len_diag, len_offd;
//HYPRE_Int row_len;
HYPRE_Int row_local;
HYPRE_Int i, j, ii, n;
HYPRE_BigInt row;
HYPRE_Int not_found, size, indx;
num_threads = hypre_NumActiveThreads();
my_thread_num = hypre_GetThreadNum();
len = nrows/num_threads;
rest = nrows - len*num_threads;
if (my_thread_num < rest)
{
ns = my_thread_num*(len+1);
ne = (my_thread_num+1)*(len+1);
}
else
{
ns = my_thread_num*len+rest;
ne = (my_thread_num+1)*len+rest;
}
for (ii=ns; ii < ne; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
/* processor owns the row */
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
size = diag_i[row_local+1] - diag_i[row_local]
+ offd_i[row_local+1] - offd_i[row_local];
if (n > size)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" row %b too long! \n", row);
}
break;
/*return hypre_error_flag; */
}
pos_diag = diag_i[row_local];
pos_offd = offd_i[row_local];
len_diag = diag_i[row_local+1];
len_offd = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
j_offd = hypre_BigBinarySearch(col_map_offd,cols[indx]-first,
num_cols_offd);
if (j_offd == -1)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag; */
}
for (j=pos_offd; j < len_offd; j++)
{
if (offd_j[j] == j_offd)
{
offd_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag;*/
}
not_found = 1;
}
/* diagonal element */
else if (cols[indx] == row)
{
if (diag_j[pos_diag] != row_local)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag; */
}
diag_data[pos_diag] = values[indx];
}
else /* insert into diag */
{
for (j=pos_diag; j < len_diag; j++)
{
if (diag_j[j] == (HYPRE_Int)(cols[indx]-col_0))
{
diag_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag;*/
}
}
indx++;
}
}
/* processor does not own the row */
//else /*search for previous occurrences and cancel them */
/*{
if (aux_matrix)
{
col_indx = 0;
for (i=0; i < off_proc_i_indx; i=i+2)
{
row_len = off_proc_i[i+1];
if (off_proc_i[i] == row)
{
for (j=0; j < n; j++)
{
cnt1 = col_indx;
for (k=0; k < row_len; k++)
{
if (off_proc_j[cnt1] == cols[j])
{
off_proc_j[cnt1++] = -1;
offproc_cnt[my_thread_num]++; */
/*cancel_indx++;*/
/* if no repetition allowed */
/* off_proc_j[col_indx] = -1;
col_indx -= k;
break; */
/*}
else
{
cnt1++;
}
}
}
col_indx += row_len;
}
else
{
col_indx += row_len;
}
}*/
/*hypre_AuxParCSRMatrixCancelIndx(aux_matrix) = cancel_indx;*/
//}
//}
}
} /*end parallel region */
}
else /* matrix not assembled */
{
aux_matrix = (hypre_AuxParCSRMatrix*) hypre_IJMatrixTranslator(matrix);
/*if (aux_matrix)
{
current_num_elmts
= hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
cancel_indx = hypre_AuxParCSRMatrixCancelIndx(aux_matrix);
}*/
row_space = hypre_AuxParCSRMatrixRowSpace(aux_matrix);
row_length = hypre_AuxParCSRMatrixRowLength(aux_matrix);
need_aux = hypre_AuxParCSRMatrixNeedAux(aux_matrix);
if (need_aux)
{
aux_j = hypre_AuxParCSRMatrixAuxJ(aux_matrix);
aux_data = hypre_AuxParCSRMatrixAuxData(aux_matrix);
}
else
{
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
if (num_procs > 1)
{
offd_data = hypre_CSRMatrixData(offd);
big_offd_j = hypre_CSRMatrixBigJ(offd);
if (!big_offd_j)
{
big_offd_j = hypre_CTAlloc(HYPRE_BigInt, offd_i[hypre_CSRMatrixNumRows(offd)],
hypre_CSRMatrixMemoryLocation(offd));
hypre_CSRMatrixBigJ(offd) = big_offd_j;
}
}
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel
#endif
{
HYPRE_Int num_threads, my_thread_num;
HYPRE_Int len, rest, ns, ne;
HYPRE_BigInt *tmp_j = NULL;
HYPRE_BigInt *local_j = NULL;
HYPRE_Complex *tmp_data = NULL;
HYPRE_Complex *local_data = NULL;
HYPRE_Int tmp_indx;
//HYPRE_Int row_len;
HYPRE_Int row_local;
HYPRE_Int i, j, ii, n;
HYPRE_BigInt row;
HYPRE_Int not_found, size, indx;
HYPRE_Int old_size, space, cnt;
num_threads = hypre_NumActiveThreads();
my_thread_num = hypre_GetThreadNum();
len = nrows/num_threads;
rest = nrows - len*num_threads;
if (my_thread_num < rest)
{
ns = my_thread_num*(len+1);
ne = (my_thread_num+1)*(len+1);
}
else
{
ns = my_thread_num*len+rest;
ne = (my_thread_num+1)*len+rest;
}
for (ii=ns; ii < ne; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
/* processor owns the row */
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
if (need_aux)
{
local_j = aux_j[row_local];
local_data = aux_data[row_local];
space = row_space[row_local];
old_size = row_length[row_local];
size = space - old_size;
if (size < n)
{
size = n - size;
tmp_j = hypre_CTAlloc(HYPRE_BigInt, size, HYPRE_MEMORY_HOST);
tmp_data = hypre_CTAlloc(HYPRE_Complex, size, HYPRE_MEMORY_HOST);
}
tmp_indx = 0;
not_found = 1;
size = old_size;
for (i=0; i < n; i++)
{
for (j=0; j < old_size; j++)
{
if (local_j[j] == cols[indx])
{
local_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (size < space)
{
local_j[size] = cols[indx];
local_data[size++] = values[indx];
}
else
{
tmp_j[tmp_indx] = cols[indx];
tmp_data[tmp_indx++] = values[indx];
}
}
not_found = 1;
indx++;
}
row_length[row_local] = size+tmp_indx;
if (tmp_indx)
{
aux_j[row_local] = hypre_TReAlloc(aux_j[row_local],HYPRE_BigInt,
size+tmp_indx, HYPRE_MEMORY_HOST);
aux_data[row_local] = hypre_TReAlloc(aux_data[row_local],
HYPRE_Complex, size+tmp_indx, HYPRE_MEMORY_HOST);
row_space[row_local] = size+tmp_indx;
local_j = aux_j[row_local];
local_data = aux_data[row_local];
}
cnt = size;
for (i=0; i < tmp_indx; i++)
{
local_j[cnt] = tmp_j[i];
local_data[cnt++] = tmp_data[i];
}
if (tmp_j)
{
hypre_TFree(tmp_j, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_data, HYPRE_MEMORY_HOST);
}
}
else /* insert immediately into data in ParCSRMatrix structure */
{
HYPRE_Int offd_indx, diag_indx;
HYPRE_Int offd_space, diag_space;
HYPRE_Int cnt_diag, cnt_offd;
offd_indx = hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local];
diag_indx = hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local];
cnt_diag = diag_indx;
cnt_offd = offd_indx;
diag_space = diag_i[row_local+1];
offd_space = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
for (j=offd_i[row_local]; j < offd_indx; j++)
{
if (big_offd_j[j] == cols[indx])
{
offd_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_offd < offd_space)
{
big_offd_j[cnt_offd] = cols[indx];
offd_data[cnt_offd++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements!\n",
row);
}
break;
/*return hypre_error_flag;*/
}
}
not_found = 1;
}
else /* insert into diag */
{
for (j=diag_i[row_local]; j < diag_indx; j++)
{
if (diag_j[j] == (HYPRE_Int)(cols[indx]-col_0))
{
diag_data[j] = values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_diag < diag_space)
{
diag_j[cnt_diag] = (HYPRE_Int)(cols[indx]-col_0);
diag_data[cnt_diag++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements !\n",
row);
}
break;
/*return hypre_error_flag;*/
}
}
not_found = 1;
}
indx++;
}
hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local] = cnt_diag;
hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local] = cnt_offd;
}
}
/* processor does not own the row */
/*else
{
if (aux_matrix)
{
col_indx = 0;
for (i=0; i < off_proc_i_indx; i=i+2)
{
row_len = off_proc_i[i+1];
if (off_proc_i[i] == row)
{
for (j=0; j < n; j++)
{
cnt1 = col_indx;
for (k=0; k < row_len; k++)
{
if (off_proc_j[cnt1] == cols[j])
{
off_proc_j[cnt1++] = -1; */
/*cancel_indx++;*/
//offproc_cnt[my_thread_num]++;
/* if no repetition allowed */
/* off_proc_j[col_indx] = -1;
col_indx -= k;
break; */
/* }
else
{
cnt1++;
}
}
}
col_indx += row_len;
}
else
{
col_indx += row_len;
}
}*/
/*hypre_AuxParCSRMatrixCancelIndx(aux_matrix) = cancel_indx;*/
/*}
}*/
}
} /* end parallel region */
}
/*if (error_flag)
{
return hypre_error_flag;
}
if (aux_matrix)
{
for (i1=0; i1 < max_num_threads; i1++)
{
cancel_indx += offproc_cnt[i1];
}
hypre_AuxParCSRMatrixCancelIndx(aux_matrix) = cancel_indx;
}*/
//hypre_TFree(offproc_cnt, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
/******************************************************************************
*
* hypre_IJMatrixAddToValuesOMPParCSR
*
* adds row values to an IJMatrix
*
*****************************************************************************/
HYPRE_Int
hypre_IJMatrixAddToValuesOMPParCSR( hypre_IJMatrix *matrix,
HYPRE_Int nrows,
HYPRE_Int *ncols,
const HYPRE_BigInt *rows,
const HYPRE_Int *row_indexes,
const HYPRE_BigInt *cols,
const HYPRE_Complex *values )
{
hypre_ParCSRMatrix *par_matrix;
hypre_CSRMatrix *diag, *offd;
hypre_AuxParCSRMatrix *aux_matrix;
HYPRE_BigInt *row_partitioning;
HYPRE_BigInt *col_partitioning;
MPI_Comm comm = hypre_IJMatrixComm(matrix);
HYPRE_Int num_procs, my_id;
HYPRE_BigInt col_0, col_n, first;
HYPRE_BigInt **aux_j;
HYPRE_Complex **aux_data;
HYPRE_Int *row_length, *row_space;
HYPRE_Int need_aux;
HYPRE_Int pstart;
HYPRE_Int *diag_i;
HYPRE_Int *diag_j;
HYPRE_Complex *diag_data;
HYPRE_Int *offd_i;
HYPRE_Int *offd_j;
HYPRE_BigInt *big_offd_j;
HYPRE_Complex *offd_data;
HYPRE_Int current_num_elmts;
HYPRE_Int max_off_proc_elmts;
HYPRE_Int off_proc_i_indx;
HYPRE_BigInt *off_proc_i;
HYPRE_BigInt *off_proc_j;
HYPRE_Complex *off_proc_data;
HYPRE_Int **offproc_cnt;
HYPRE_Int print_level = hypre_IJMatrixPrintLevel(matrix);
HYPRE_Int max_num_threads;
HYPRE_Int error_flag = 0;
HYPRE_Int i1;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
max_num_threads = hypre_NumThreads();
par_matrix = (hypre_ParCSRMatrix*) hypre_IJMatrixObject( matrix );
row_partitioning = hypre_IJMatrixRowPartitioning(matrix);
col_partitioning = hypre_IJMatrixColPartitioning(matrix);
offproc_cnt = hypre_CTAlloc(HYPRE_Int *, max_num_threads, HYPRE_MEMORY_HOST);
for (i1=0; i1 < max_num_threads; i1++)
offproc_cnt[i1] = NULL;
#ifdef HYPRE_NO_GLOBAL_PARTITION
col_0 = col_partitioning[0];
col_n = col_partitioning[1]-1;
first = hypre_IJMatrixGlobalFirstCol(matrix);
pstart = 0;
#else
col_0 = col_partitioning[my_id];
col_n = col_partitioning[my_id+1]-1;
first = col_partitioning[0];
pstart = my_id;
#endif
if (hypre_IJMatrixAssembleFlag(matrix)) /* matrix already assembled */
{
HYPRE_Int num_cols_offd;
HYPRE_BigInt *col_map_offd;
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
num_cols_offd = hypre_CSRMatrixNumCols(offd);
if (num_cols_offd)
{
col_map_offd = hypre_ParCSRMatrixColMapOffd(par_matrix);
offd_j = hypre_CSRMatrixJ(offd);
offd_data = hypre_CSRMatrixData(offd);
}
aux_matrix = (hypre_AuxParCSRMatrix*) hypre_IJMatrixTranslator(matrix);
if (aux_matrix)
{
current_num_elmts
= hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel
#endif
{
HYPRE_Int j_offd;
HYPRE_Int num_threads, my_thread_num;
HYPRE_Int len, rest, ns, ne;
HYPRE_Int pos_diag, pos_offd;
HYPRE_Int len_diag, len_offd;
HYPRE_Int row_local;
HYPRE_Int i, j, ii, n;
HYPRE_BigInt row;
HYPRE_Int not_found, size, indx;
HYPRE_Int *my_offproc_cnt = NULL;
num_threads = hypre_NumActiveThreads();
my_thread_num = hypre_GetThreadNum();
len = nrows/num_threads;
rest = nrows - len*num_threads;
if (my_thread_num < rest)
{
ns = my_thread_num*(len+1);
ne = (my_thread_num+1)*(len+1);
}
else
{
ns = my_thread_num*len+rest;
ne = (my_thread_num+1)*len+rest;
}
for (ii=ns; ii < ne; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
size = diag_i[row_local+1] - diag_i[row_local]
+ offd_i[row_local+1] - offd_i[row_local];
if (n > size)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" row %b too long! \n", row);
}
break;
/*return hypre_error_flag; */
}
pos_diag = diag_i[row_local];
pos_offd = offd_i[row_local];
len_diag = diag_i[row_local+1];
len_offd = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
j_offd = hypre_BigBinarySearch(col_map_offd,cols[indx]-first,
num_cols_offd);
if (j_offd == -1)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag;*/
}
for (j=pos_offd; j < len_offd; j++)
{
if (offd_j[j] == j_offd)
{
offd_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag;*/
}
not_found = 1;
}
/* diagonal element */
else if (cols[indx] == row)
{
if (diag_j[pos_diag] != row_local)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag;*/
}
diag_data[pos_diag] += values[indx];
}
else /* insert into diag */
{
for (j=pos_diag; j < len_diag; j++)
{
if (diag_j[j] == (HYPRE_Int)(cols[indx]-col_0))
{
diag_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf (" Error, element %b %b does not exist\n",
row, cols[indx]);
}
break;
/*return hypre_error_flag;*/
}
}
indx++;
}
}
/* not my row */
/* need to find solution for threaded version!!!! */
/* could save row number and process later .... */
else
{
if (!my_offproc_cnt)
{
my_offproc_cnt = hypre_CTAlloc(HYPRE_Int, 200, HYPRE_MEMORY_HOST);
offproc_cnt[my_thread_num] = my_offproc_cnt;
my_offproc_cnt[0] = 200;
my_offproc_cnt[1] = 2;
}
i = my_offproc_cnt[1];
if (i+2 < my_offproc_cnt[0])
{
my_offproc_cnt[i] = ii;
my_offproc_cnt[i+1] = indx;
my_offproc_cnt[1] += 2;
}
else
{
size = my_offproc_cnt[0];
my_offproc_cnt = hypre_TReAlloc(my_offproc_cnt, HYPRE_Int, size+200, HYPRE_MEMORY_HOST);
my_offproc_cnt[0] += 200;
my_offproc_cnt[i] = ii;
my_offproc_cnt[i+1] = indx;
my_offproc_cnt[1] += 2;
}
}
}
} /* end parallel region */
}
/* not assembled */
else
{
aux_matrix = (hypre_AuxParCSRMatrix*) hypre_IJMatrixTranslator(matrix);
if (aux_matrix)
{
current_num_elmts
= hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
}
row_space = hypre_AuxParCSRMatrixRowSpace(aux_matrix);
row_length = hypre_AuxParCSRMatrixRowLength(aux_matrix);
need_aux = hypre_AuxParCSRMatrixNeedAux(aux_matrix);
if (need_aux)
{
aux_j = hypre_AuxParCSRMatrixAuxJ(aux_matrix);
aux_data = hypre_AuxParCSRMatrixAuxData(aux_matrix);
}
else
{
diag = hypre_ParCSRMatrixDiag(par_matrix);
diag_i = hypre_CSRMatrixI(diag);
diag_j = hypre_CSRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
offd = hypre_ParCSRMatrixOffd(par_matrix);
offd_i = hypre_CSRMatrixI(offd);
if (num_procs > 1)
{
big_offd_j = hypre_CSRMatrixBigJ(offd);
offd_data = hypre_CSRMatrixData(offd);
if (!big_offd_j)
{
big_offd_j = hypre_CTAlloc(HYPRE_BigInt, offd_i[hypre_CSRMatrixNumRows(offd)],
hypre_CSRMatrixMemoryLocation(offd));
hypre_CSRMatrixBigJ(offd) = big_offd_j;
}
}
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel
#endif
{
HYPRE_Int num_threads, my_thread_num;
HYPRE_Int len, rest, ns, ne;
HYPRE_BigInt *tmp_j = NULL;
HYPRE_BigInt *local_j = NULL;
HYPRE_Complex *tmp_data = NULL;
HYPRE_Complex *local_data = NULL;
HYPRE_Int tmp_indx;
HYPRE_Int row_local;
HYPRE_BigInt row;
HYPRE_Int i, j, ii, n;
HYPRE_Int not_found, size, indx;
HYPRE_Int old_size, space, cnt;
HYPRE_Int *my_offproc_cnt = NULL;
num_threads = hypre_NumActiveThreads();
my_thread_num = hypre_GetThreadNum();
len = nrows/num_threads;
rest = nrows - len*num_threads;
if (my_thread_num < rest)
{
ns = my_thread_num*(len+1);
ne = (my_thread_num+1)*(len+1);
}
else
{
ns = my_thread_num*len+rest;
ne = (my_thread_num+1)*len+rest;
}
for (ii=ns; ii < ne; ii++)
{
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = row_indexes[ii];
if (row >= row_partitioning[pstart] && row < row_partitioning[pstart+1])
{
row_local = (HYPRE_Int)(row - row_partitioning[pstart]);
/* compute local row number */
if (need_aux)
{
local_j = aux_j[row_local];
local_data = aux_data[row_local];
space = row_space[row_local];
old_size = row_length[row_local];
size = space - old_size;
if (size < n)
{
size = n - size;
tmp_j = hypre_CTAlloc(HYPRE_BigInt, size, HYPRE_MEMORY_HOST);
tmp_data = hypre_CTAlloc(HYPRE_Complex, size, HYPRE_MEMORY_HOST);
}
tmp_indx = 0;
not_found = 1;
size = old_size;
for (i=0; i < n; i++)
{
for (j=0; j < old_size; j++)
{
if (local_j[j] == cols[indx])
{
local_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (size < space)
{
local_j[size] = cols[indx];
local_data[size++] = values[indx];
}
else
{
tmp_j[tmp_indx] = cols[indx];
tmp_data[tmp_indx++] = values[indx];
}
}
not_found = 1;
indx++;
}
row_length[row_local] = size+tmp_indx;
if (tmp_indx)
{
aux_j[row_local] = hypre_TReAlloc(aux_j[row_local],HYPRE_BigInt,
size+tmp_indx, HYPRE_MEMORY_HOST);
aux_data[row_local] = hypre_TReAlloc(aux_data[row_local],
HYPRE_Complex, size+tmp_indx, HYPRE_MEMORY_HOST);
row_space[row_local] = size+tmp_indx;
local_j = aux_j[row_local];
local_data = aux_data[row_local];
}
cnt = size;
for (i=0; i < tmp_indx; i++)
{
local_j[cnt] = tmp_j[i];
local_data[cnt++] = tmp_data[i];
}
if (tmp_j)
{
hypre_TFree(tmp_j, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_data, HYPRE_MEMORY_HOST);
}
}
else /* insert immediately into data in ParCSRMatrix structure */
{
HYPRE_Int offd_indx, diag_indx;
HYPRE_Int offd_space, diag_space;
HYPRE_Int cnt_diag, cnt_offd;
offd_indx = hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local];
diag_indx = hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local];
cnt_diag = diag_indx;
cnt_offd = offd_indx;
diag_space = diag_i[row_local+1];
offd_space = offd_i[row_local+1];
not_found = 1;
for (i=0; i < n; i++)
{
if (cols[indx] < col_0 || cols[indx] > col_n)
/* insert into offd */
{
for (j=offd_i[row_local]; j < offd_indx; j++)
{
if (big_offd_j[j] == cols[indx])
{
offd_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_offd < offd_space)
{
big_offd_j[cnt_offd] = cols[indx];
offd_data[cnt_offd++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements!\n",
row);
}
break;
/*return hypre_error_flag;*/
}
}
not_found = 1;
}
else /* insert into diag */
{
for (j=diag_i[row_local]; j < diag_indx; j++)
{
if (diag_j[j] == (HYPRE_Int)(cols[indx]-col_0))
{
diag_data[j] += values[indx];
not_found = 0;
break;
}
}
if (not_found)
{
if (cnt_diag < diag_space)
{
diag_j[cnt_diag] = (HYPRE_Int)(cols[indx]-col_0);
diag_data[cnt_diag++] = values[indx];
}
else
{
hypre_error(HYPRE_ERROR_GENERIC);
#ifdef HYPRE_USING_OPENMP
#pragma omp atomic
#endif
error_flag++;
if (print_level)
{
hypre_printf("Error in row %b ! Too many elements !\n",
row);
}
break;
/*return hypre_error_flag;*/
}
}
not_found = 1;
}
indx++;
}
hypre_AuxParCSRMatrixIndxDiag(aux_matrix)[row_local] = cnt_diag;
hypre_AuxParCSRMatrixIndxOffd(aux_matrix)[row_local] = cnt_offd;
}
}
/* not my row */
else
{
if (!my_offproc_cnt)
{
my_offproc_cnt = hypre_CTAlloc(HYPRE_Int, 200, HYPRE_MEMORY_HOST);
offproc_cnt[my_thread_num] = my_offproc_cnt;
my_offproc_cnt[0] = 200;
my_offproc_cnt[1] = 2;
}
i = my_offproc_cnt[1];
if (i+2 < my_offproc_cnt[0])
{
my_offproc_cnt[i] = ii;
my_offproc_cnt[i+1] = indx;
my_offproc_cnt[1] += 2;
}
else
{
size = my_offproc_cnt[0];
my_offproc_cnt = hypre_TReAlloc(my_offproc_cnt, HYPRE_Int, size+200, HYPRE_MEMORY_HOST);
my_offproc_cnt[0] += 200;
my_offproc_cnt[i] = ii;
my_offproc_cnt[i+1] = indx;
my_offproc_cnt[1] += 2;
}
}
}
} /*end parallel region */
}
if (error_flag)
{
return hypre_error_flag;
}
if (!aux_matrix)
{
HYPRE_Int size = (HYPRE_Int)(row_partitioning[pstart+1]-row_partitioning[pstart]);
hypre_AuxParCSRMatrixCreate(&aux_matrix, size, size, NULL);
hypre_AuxParCSRMatrixNeedAux(aux_matrix) = 0;
hypre_IJMatrixTranslator(matrix) = aux_matrix;
}
for (i1 = 0; i1 < max_num_threads; i1++)
{
if (offproc_cnt[i1])
{
HYPRE_Int *my_offproc_cnt = offproc_cnt[i1];
HYPRE_Int i, i2, ii, n, indx;
HYPRE_BigInt row;
for (i2 = 2; i2 < my_offproc_cnt[1]; i2+=2)
{
ii = my_offproc_cnt[i2];
row = rows[ii];
n = ncols[ii];
if (n == 0) /* empty row */
{
continue;
}
indx = my_offproc_cnt[i2+1];
current_num_elmts
= hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix);
max_off_proc_elmts
= hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix);
off_proc_i_indx = hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data = hypre_AuxParCSRMatrixOffProcData(aux_matrix);
if (!max_off_proc_elmts)
{
max_off_proc_elmts = hypre_max(n,1000);
hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix) =
max_off_proc_elmts;
hypre_AuxParCSRMatrixOffProcI(aux_matrix)
= hypre_CTAlloc(HYPRE_BigInt, 2*max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcJ(aux_matrix)
= hypre_CTAlloc(HYPRE_BigInt, max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcData(aux_matrix)
= hypre_CTAlloc(HYPRE_Complex, max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_i = hypre_AuxParCSRMatrixOffProcI(aux_matrix);
off_proc_j = hypre_AuxParCSRMatrixOffProcJ(aux_matrix);
off_proc_data = hypre_AuxParCSRMatrixOffProcData(aux_matrix);
}
else if (current_num_elmts + n > max_off_proc_elmts)
{
max_off_proc_elmts += 3*n;
off_proc_i = hypre_TReAlloc(off_proc_i, HYPRE_BigInt, 2*max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_j = hypre_TReAlloc(off_proc_j, HYPRE_BigInt, max_off_proc_elmts, HYPRE_MEMORY_HOST);
off_proc_data = hypre_TReAlloc(off_proc_data,HYPRE_Complex,
max_off_proc_elmts, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixMaxOffProcElmts(aux_matrix)
= max_off_proc_elmts;
hypre_AuxParCSRMatrixOffProcI(aux_matrix) = off_proc_i;
hypre_AuxParCSRMatrixOffProcJ(aux_matrix) = off_proc_j;
hypre_AuxParCSRMatrixOffProcData(aux_matrix) = off_proc_data;
}
off_proc_i[off_proc_i_indx++] = row;
off_proc_i[off_proc_i_indx++] = n;
for (i=0; i < n; i++)
{
off_proc_j[current_num_elmts] = cols[indx];
off_proc_data[current_num_elmts++] = values[indx++];
}
hypre_AuxParCSRMatrixOffProcIIndx(aux_matrix) = off_proc_i_indx;
hypre_AuxParCSRMatrixCurrentNumElmts(aux_matrix) = current_num_elmts;
}
hypre_TFree(offproc_cnt[i1], HYPRE_MEMORY_HOST);
}
}
hypre_TFree(offproc_cnt, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
|
LAGraph_cc_fastsv5b.c | //------------------------------------------------------------------------------
// LAGraph_cc_fastsv5b: connected components
//------------------------------------------------------------------------------
/*
LAGraph: graph algorithms based on GraphBLAS
Copyright 2020 LAGraph Contributors.
(see Contributors.txt for a full list of Contributors; see
ContributionInstructions.txt for information on how you can Contribute to
this project).
All Rights Reserved.
NO WARRANTY. THIS MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. THE LAGRAPH
CONTRIBUTORS MAKE NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED,
AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR
PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF
THE MATERIAL. THE CONTRIBUTORS DO NOT MAKE ANY WARRANTY OF ANY KIND WITH
RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT.
Released under a BSD license, please see the LICENSE file distributed with
this Software or contact permission@sei.cmu.edu for full terms.
Created, in part, with funding and support from the United States
Government. (see Acknowledgments.txt file).
This program includes and/or can make use of certain third party source
code, object code, documentation and other files ("Third Party Software").
See LICENSE file for more details.
*/
/**
* Code is based on the algorithm described in the following paper
* Zhang, Azad, Hu. FastSV: FastSV: A Distributed-Memory Connected Component
* Algorithm with Fast Convergence (SIAM PP20)
*
* Modified by Tim Davis, Texas A&M University
**/
// The input matrix A must be symmetric. Self-edges (diagonal entries) are
// OK, and are ignored. The values and type of A are ignored; just its
// pattern is accessed.
// The matrix A must have dimension 2^32 or less. If it is larger, use the
// 64-bit version of this method instead. TODO combine the two versions into a
// single user-callable code.
#include "LAGraph.h"
//------------------------------------------------------------------------------
// Reduce_assign32: w (index) += src, using MIN as the "+=" accum operator
//------------------------------------------------------------------------------
// mask = NULL, accumulator = GrB_MIN_UINT32, descriptor = NULL.
// Duplicates are summed with the accumulator, which differs from how
// GrB_assign works. GrB_assign states that the presence of duplicates results
// in undefined behavior. SuiteSparse:GraphBLAS follows the MATLAB rule, which
// discards all but the first of the duplicates. TODO: add this to GraphBLAS
// as a variant of GrB_assign, either as GxB_assign_accum (or another name),
// or as a GxB_* descriptor setting.
#define LAGRAPH_FREE_ALL
// hash table
const int P = 1024;
int *ht_key;
int *ht_val;
#define HASH(x) (((x << 4) + x) & 1023)
#define NEXT(x) ((x + 23) & 1023)
static void ht_malloc ()
{
ht_key = LAGraph_malloc (P, sizeof (int));
ht_val = LAGraph_malloc (P, sizeof (int));
}
static void ht_init ()
{
memset(ht_key, -1, sizeof(int) * P);
memset(ht_val, 0, sizeof(int) * P);
}
static void ht_free ()
{
LAGRAPH_FREE (ht_key) ;
LAGRAPH_FREE (ht_val) ;
}
static void ht_sample (uint32_t *V32, int n, int samples)
{
for (int i = 0; i < samples; i++) {
int x = V32 [rand() % n];
int h = HASH (x);
while (ht_key [h] != -1 && ht_key [h] != x)
h = NEXT (h);
ht_key [h] = x;
ht_val [h] += 1;
}
}
static int ht_most_frequent ()
{
int key = -1, val = 0;
for (int i = 0; i < P; i++)
if (ht_val [i] > val)
{
key = ht_key [i];
val = ht_val [i];
}
return key;
}
static GrB_Info Reduce_assign32
(
GrB_Vector *w_handle, // vector of size n, all entries present
GrB_Vector *s_handle, // vector of size n, all entries present
uint32_t *index, // array of size n
GrB_Index n,
int nthreads
)
{
GrB_Type w_type, s_type ;
GrB_Index w_n, s_n, w_nvals, s_nvals, *w_i, *s_i ;
uint32_t *w_x, *s_x ;
LAGr_Vector_export (w_handle, &w_type, &w_n, &w_nvals, &w_i,
(void **) &w_x, NULL) ;
LAGr_Vector_export (s_handle, &s_type, &s_n, &s_nvals, &s_i,
(void **) &s_x, NULL) ;
if (nthreads >= 4)
{
uint32_t *mem = LAGraph_malloc (nthreads * P, sizeof (uint32_t));
ht_init () ;
ht_sample (index, n, 864) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
uint32_t *buf = mem + t * P;
for (int h = 0; h < P; h++)
if (ht_key [h] != -1)
buf [h] = w_x [ht_key [h]];
int st = (n * t + nthreads - 1) / nthreads;
int ed = (n * t + n + nthreads - 1) / nthreads;
for (int k = st ; k < ed ; k++)
{
uint32_t i = index [k] ;
int h = HASH(i);
while (ht_key [h] != -1 && ht_key [h] != i)
h = NEXT (h);
if (ht_key [h] == -1)
w_x [i] = LAGRAPH_MIN (w_x [i], s_x [k]);
else
buf [h] = LAGRAPH_MIN (buf [h], s_x [k]);
}
}
for (int h = 0; h < P; h++)
{
int i = ht_key [h];
if (i != -1)
for (int j = 0; j < nthreads; j++)
w_x [i] = LAGRAPH_MIN (w_x [i], mem [j * P + h]);
}
LAGRAPH_FREE (mem);
}
else
{
// sequential version, to avoid atomics
for (GrB_Index k = 0 ; k < n ; k++)
{
uint32_t i = index [k] ;
w_x [i] = LAGRAPH_MIN (w_x [i], s_x [k]) ;
}
}
LAGr_Vector_import (w_handle, w_type, w_n, w_nvals, &w_i,
(void **) &w_x, NULL) ;
LAGr_Vector_import (s_handle, s_type, s_n, s_nvals, &s_i,
(void **) &s_x, NULL) ;
return (GrB_SUCCESS) ;
}
#undef LAGRAPH_FREE_ALL
#define LAGRAPH_FREE_ALL \
{ \
LAGRAPH_FREE (I) ; \
LAGRAPH_FREE (V32) ; \
LAGr_free (&f) ; \
LAGr_free (&gp) ; \
LAGr_free (&mngp) ; \
LAGr_free (&gp_new) ; \
LAGr_free (&mod) ; \
}
//------------------------------------------------------------------------------
// LAGraph_cc_fastsv5
//------------------------------------------------------------------------------
GrB_Info LAGraph_cc_fastsv5b
(
GrB_Vector *result, // output: array of component identifiers
GrB_Matrix *A, // input matrix
bool sanitize // if true, ensure A is symmetric
)
{
GrB_Info info ;
uint32_t *V32 = NULL ;
GrB_Index n, nnz, *I = NULL ;
GrB_Vector f = NULL, gp_new = NULL, mngp = NULL, mod = NULL, gp = NULL ;
GrB_Matrix S = NULL, T = NULL ;
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
LAGr_Matrix_nrows (&n, *A) ;
LAGr_Matrix_nvals (&nnz, *A) ;
if (n > UINT32_MAX)
{
LAGRAPH_ERROR ("problem too large; use 64-bit version instead",
GrB_INVALID_VALUE) ;
}
#define FASTSV_SAMPLES 4
GxB_Format_Value format;
LAGRAPH_OK (GxB_get (*A , GxB_FORMAT, &format)) ;
bool sampling = (format == GxB_BY_ROW) && (n * FASTSV_SAMPLES * 2 < nnz);
if (sanitize)
{
// S = A | A'
LAGr_Matrix_new (&S, GrB_BOOL, n, n) ;
LAGr_eWiseAdd (S, NULL, NULL, GrB_LOR, *A, *A, LAGraph_desc_otoo) ;
}
else
{
// Use the input as-is, and assume it is symmetric
// LAGr_Matrix_dup (&S, A) ;
S = *A;
}
//--------------------------------------------------------------------------
// initializations
//--------------------------------------------------------------------------
// determine # of threads to use for Reduce_assign
int nthreads = LAGraph_get_nthreads ( ) ;
// # of threads to use for typecast
int nthreads2 = n / (64*1024) ;
nthreads2 = LAGRAPH_MIN (nthreads2, nthreads) ;
nthreads2 = LAGRAPH_MAX (nthreads2, 1) ;
// vectors
LAGr_Vector_new (&f, GrB_UINT32, n) ;
LAGr_Vector_new (&gp_new, GrB_UINT32, n) ;
LAGr_Vector_new (&mod, GrB_BOOL, n) ;
// temporary arrays
I = LAGraph_malloc (n, sizeof (GrB_Index)) ;
V32 = LAGraph_malloc (n, sizeof (uint32_t)) ;
// prepare vectors
#pragma omp parallel for num_threads(nthreads2) schedule(static)
for (GrB_Index i = 0 ; i < n ; i++)
{
I [i] = i ;
V32 [i] = (uint32_t) i ;
}
LAGr_Vector_build (f, I, V32, n, GrB_PLUS_UINT32) ;
LAGr_Vector_dup (&gp, f) ;
LAGr_Vector_dup (&mngp, f) ;
ht_malloc ();
//--------------------------------------------------------------------------
// main computation
//--------------------------------------------------------------------------
if (sampling)
{
GrB_Type type;
GrB_Index nrows, ncols, nvals;
int64_t nonempty;
GrB_Index *Sp, *Sj;
void *Sx;
GxB_Matrix_export_CSR (&S, &type, &nrows, &ncols, &nvals,
&nonempty, &Sp, &Sj, &Sx, NULL);
GrB_Index *Tp = LAGraph_malloc (nrows+1, sizeof (GrB_Index)) ;
GrB_Index *Tj = LAGraph_malloc (nvals, sizeof (GrB_Index)) ;
void *Tx = LAGraph_malloc (nvals, 1) ;
int *range = LAGraph_malloc (nthreads + 1, sizeof (int)) ;
GrB_Index *count = LAGraph_malloc (nthreads + 1, sizeof (GrB_Index)) ;
memset (count, 0, sizeof (GrB_Index) * (nthreads + 1)) ;
for (int i = 0; i <= nthreads; i++)
range [i] = (n * i + nthreads - 1) / nthreads;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
for (int i = range[t]; i < range[t + 1]; i++)
{
int deg = Sp [i + 1] - Sp [i];
count [t + 1] += LAGRAPH_MIN (FASTSV_SAMPLES, deg) ;
}
}
for (int i = 0; i < nthreads; i++)
count [i + 1] += count [i];
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
GrB_Index p = count [t];
Tp [range [t]] = p;
for (int i = range[t]; i < range[t + 1]; i++)
{
for (int j = 0; j < FASTSV_SAMPLES && Sp [i] + j < Sp [i + 1]; j++)
Tj [p++] = Sj [Sp [i] + j];
Tp [i + 1] = p;
}
}
GrB_Index t_nvals = Tp[nrows];
GxB_Matrix_import_CSR (&T, type, nrows, ncols, t_nvals,
-1, &Tp, &Tj, &Tx, NULL);
bool change = true, is_first = true;
while (change)
{
// hooking & shortcutting
LAGr_mxv (mngp, NULL, GrB_MIN_UINT32, GxB_MIN_SECOND_UINT32, T, gp,
NULL) ;
if (!is_first)
LAGRAPH_OK (Reduce_assign32 (&f, &mngp, V32, n, nthreads)) ;
// old:
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, mngp, NULL) ;
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, gp, NULL) ;
// new:
LAGr_eWiseAdd (f, NULL, GrB_MIN_UINT32, GrB_MIN_UINT32, mngp, gp,
NULL) ;
// calculate grandparent
LAGr_Vector_extractTuples (NULL, V32, &n, f) ;
#pragma omp parallel for num_threads(nthreads2) schedule(static)
for (uint32_t i = 0 ; i < n ; i++)
{
I [i] = (GrB_Index) V32 [i] ;
}
LAGr_extract (gp_new, NULL, NULL, f, I, n, NULL) ;
// check termination
LAGr_eWiseMult (mod, NULL, NULL, GrB_NE_UINT32, gp_new, gp, NULL) ;
LAGr_reduce (&change, NULL, GxB_LOR_BOOL_MONOID, mod, NULL) ;
// swap gp and gp_new
GrB_Vector t = gp ; gp = gp_new ; gp_new = t ;
is_first = false;
}
ht_init() ;
ht_sample (V32, n, 864) ;
int key = ht_most_frequent() ;
int64_t t_nonempty;
GxB_Matrix_export_CSR (&T, &type, &nrows, &ncols, &t_nvals,
&t_nonempty, &Tp, &Tj, &Tx, NULL);
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
GrB_Index ptr = Sp[range[t]];
for (int v = range[t]; v < range[t + 1]; v++)
{
int pv = V32 [v];
Tp [v] = ptr;
if (pv != key)
{
for (GrB_Index i = Sp [v]; i < Sp [v + 1]; i++)
{
int u = Sj [i];
if (V32 [u] != key)
Tj [ptr++] = u;
}
if (ptr - Tp[v] < Sp [v + 1] - Sp [v])
Tj [ptr++] = key;
}
}
count[t] = ptr - Tp [range [t]];
}
GrB_Index offset = 0;
for (int i = 0; i < nthreads; i++)
{
memcpy(Tj + offset, Tj + Tp [range [i]], sizeof(GrB_Index) * count[i]);
offset += count[i];
count[i] = offset - count[i];
}
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int t = 0; t < nthreads; t++)
{
GrB_Index ptr = Tp [range [t]];
for (int v = range[t]; v < range[t + 1]; v++)
Tp [v] -= ptr - count[t];
}
Tp [n] = offset;
LAGRAPH_FREE (count);
LAGRAPH_FREE (range);
GxB_Matrix_import_CSR (&S, type, nrows, ncols, nvals,
nonempty, &Sp, &Sj, &Sx, NULL);
GxB_Matrix_import_CSR (&T, type, nrows, ncols, offset,
-1, &Tp, &Tj, &Tx, NULL);
}
else
{
T = S;
}
LAGr_Matrix_nvals (&nnz, T);
bool change = true;
while (change && nnz > 0)
{
// hooking & shortcutting
LAGr_mxv (mngp, NULL, GrB_MIN_UINT32, GxB_MIN_SECOND_UINT32, T, gp,
NULL) ;
LAGRAPH_OK (Reduce_assign32 (&f, &mngp, V32, n, nthreads)) ;
// old:
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, mngp, NULL) ;
// LAGr_eWiseMult (f, NULL, NULL, GrB_MIN_UINT32, f, gp, NULL) ;
// new:
LAGr_eWiseAdd (f, NULL, GrB_MIN_UINT32, GrB_MIN_UINT32, mngp, gp, NULL);
// calculate grandparent
LAGr_Vector_extractTuples (NULL, V32, &n, f) ;
#pragma omp parallel for num_threads(nthreads2) schedule(static)
for (uint32_t i = 0 ; i < n ; i++)
{
I [i] = (GrB_Index) V32 [i] ;
}
LAGr_extract (gp_new, NULL, NULL, f, I, n, NULL) ;
// check termination
LAGr_eWiseMult (mod, NULL, NULL, GrB_NE_UINT32, gp_new, gp, NULL) ;
LAGr_reduce (&change, NULL, GxB_LOR_BOOL_MONOID, mod, NULL) ;
// swap gp and gp_new
GrB_Vector t = gp ; gp = gp_new ; gp_new = t ;
}
//--------------------------------------------------------------------------
// free workspace and return result
//--------------------------------------------------------------------------
ht_free () ;
*result = f ;
f = NULL ;
if (!sanitize)
*A = S;
else
LAGr_free (&S) ;
if (sampling)
LAGr_free (&T) ;
LAGRAPH_FREE_ALL ;
return (GrB_SUCCESS) ;
}
|
pragmas.h | /* File used to test the handling of the pragma pack*/
// Use default packing
#pragma pack() // n defaults to 8; equivalent to /Zp8
// Change default packing
#pragma pack(4) // n = 4
// Push and select custom packing
#define PACKING 16
#pragma pack(push, r1, PACKING) // n = 16, pushed to stack
// Change packing back to default
#pragma pack()
// Push current packing to stack (twice for pop test)
#pragma pack(push, r2)
#pragma pack(push, r3, 4)
// Remove packing
#pragma pack(pop, r2)
#pragma pack(pop)
// Test handling of unknown pragmas
#pragma omp parallel
|
GB_binop__le_int16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__le_int16)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__le_int16)
// A.*B function (eWiseMult): GB (_AemultB_03__le_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__le_int16)
// A*D function (colscale): GB (_AxD__le_int16)
// D*A function (rowscale): GB (_DxB__le_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__le_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__le_int16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__le_int16)
// C=scalar+B GB (_bind1st__le_int16)
// C=scalar+B' GB (_bind1st_tran__le_int16)
// C=A+scalar GB (_bind2nd__le_int16)
// C=A'+scalar GB (_bind2nd_tran__le_int16)
// C type: bool
// A type: int16_t
// B,b type: int16_t
// BinaryOp: cij = (aij <= bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int16_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (x <= y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LE || GxB_NO_INT16 || GxB_NO_LE_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__le_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__le_int16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__le_int16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__le_int16)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__le_int16)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__le_int16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__le_int16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__le_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__le_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__le_int16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__le_int16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = Bx [p] ;
Cx [p] = (x <= bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__le_int16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = Ax [p] ;
Cx [p] = (aij <= y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (x <= aij) ; \
}
GrB_Info GB (_bind1st_tran__le_int16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (aij <= y) ; \
}
GrB_Info GB (_bind2nd_tran__le_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
gesummv.c | /**
* gesummv.c: This file was adapted from PolyBench/GPU 1.0 test
* suite to run on GPU with OpenMP 4.0 pragmas and OpenCL driver.
*
* http://www.cse.ohio-state.edu/~pouchet/software/polybench/GPU
*
* Contacts: Marcio M Pereira <mpereira@ic.unicamp.br>
* Rafael Cardoso F Sousa <rafael.cardoso@students.ic.unicamp.br>
* Luís Felipe Mattos <ra107822@students.ic.unicamp.br>
*/
#include <stdarg.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/time.h>
#include <time.h>
#include <unistd.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "BenchmarksUtil.h"
// define the error threshold for the results "not matching"
#define PERCENT_DIFF_ERROR_THRESHOLD 0.05
/* Problem size. */
#ifdef RUN_TEST
#define SIZE 1100
#elif RUN_BENCHMARK
#define SIZE 9600
#else
#define SIZE 1000
#endif
#define N SIZE
/* Declared constant values for ALPHA and BETA (same as values in PolyBench 2.0)
*/
#define ALPHA 43532.0f
#define BETA 12313.0f
/* Can switch DATA_TYPE between float and double */
typedef float DATA_TYPE;
void gesummv(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *x, DATA_TYPE *y,
DATA_TYPE *tmp) {
int i, j;
for (i = 0; i < N; i++) {
tmp[i] = 0;
y[i] = 0;
for (j = 0; j < N; j++) {
tmp[i] = A[i * N + j] * x[j] + tmp[i];
y[i] = B[i * N + j] * x[j] + y[i];
}
y[i] = ALPHA * tmp[i] + BETA * y[i];
}
}
void gesummv_OMP(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *x, DATA_TYPE *y,
DATA_TYPE *tmp) {
int i, j;
#pragma omp target map(to : A[ : N *N], B[ : N *N], x[ : N], tmp[ : N]) \
map(tofrom : y[ : N]) \
device(DEVICE_ID)
#pragma omp parallel for
for (int i = 0; i < N; i++) {
tmp[i] = 0;
y[i] = 0;
for (int j = 0; j < N; j++) {
tmp[i] = A[i * N + j] * x[j] + tmp[i];
y[i] = B[i * N + j] * x[j] + y[i];
}
y[i] = ALPHA * tmp[i] + BETA * y[i];
}
}
void init(DATA_TYPE *A, DATA_TYPE *x) {
int i, j;
for (i = 0; i < N; i++) {
x[i] = ((DATA_TYPE)i) / N;
for (j = 0; j < N; j++) {
A[i * N + j] = ((DATA_TYPE)i * j) / N;
}
}
}
int compareResults(DATA_TYPE *y, DATA_TYPE *y_outputFromGpu) {
int i, fail;
fail = 0;
for (i = 0; i < (N); i++) {
if (percentDiff(y[i], y_outputFromGpu[i]) > PERCENT_DIFF_ERROR_THRESHOLD) {
fail++;
}
}
// Print results
printf("Non-Matching CPU-GPU Outputs Beyond Error Threshold of %4.2f "
"Percent: %d\n",
PERCENT_DIFF_ERROR_THRESHOLD, fail);
return fail;
}
int main(int argc, char *argv[]) {
double t_start, t_end;
int fail = 0;
DATA_TYPE *A;
DATA_TYPE *B;
DATA_TYPE *x;
DATA_TYPE *y;
DATA_TYPE *y_outputFromGpu;
DATA_TYPE *tmp;
A = (DATA_TYPE *)malloc(N * N * sizeof(DATA_TYPE));
B = (DATA_TYPE *)malloc(N * N * sizeof(DATA_TYPE));
x = (DATA_TYPE *)malloc(N * sizeof(DATA_TYPE));
y = (DATA_TYPE *)malloc(N * sizeof(DATA_TYPE));
y_outputFromGpu = (DATA_TYPE *)calloc(N, sizeof(DATA_TYPE));
tmp = (DATA_TYPE *)malloc(N * sizeof(DATA_TYPE));
fprintf(stdout, "<< Scalar, Vector and Matrix Multiplication >>\n");
init(A, x);
t_start = rtclock();
gesummv_OMP(A, B, x, y_outputFromGpu, tmp);
t_end = rtclock();
fprintf(stdout, "GPU Runtime: %0.6lfs\n", t_end - t_start);
#ifdef RUN_TEST
t_start = rtclock();
gesummv(A, B, x, y, tmp);
t_end = rtclock();
fprintf(stdout, "CPU Runtime: %0.6lfs\n", t_end - t_start);
fail = compareResults(y, y_outputFromGpu);
#endif
free(A);
free(B);
free(x);
free(y);
free(y_outputFromGpu);
free(tmp);
return fail;
}
|
gsrb.c | /*******************************************************************************
Copyright (c) 2016 Advanced Micro Devices, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions 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.
3. 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
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER 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.
*******************************************************************************/
//------------------------------------------------------------------------------------------------------------------------------
// Samuel Williams
// SWWilliams@lbl.gov
// Lawrence Berkeley National Lab
//------------------------------------------------------------------------------------------------------------------------------
#if defined(GSRB_FP)
#warning Overriding default GSRB implementation and using pre-computed 1.0/0.0 FP array for Red-Black to facilitate vectorization...
#elif defined(GSRB_STRIDE2)
#if defined(GSRB_OOP)
#warning Overriding default GSRB implementation and using out-of-place and stride-2 accesses to minimize the number of flops
#else
#warning Overriding default GSRB implementation and using stride-2 accesses to minimize the number of flops
#endif
#elif defined(GSRB_BRANCH)
#if defined(GSRB_OOP)
#warning Overriding default GSRB implementation and using out-of-place implementation with an if-then-else on loop indices...
#else
#warning Overriding default GSRB implementation and using if-then-else on loop indices...
#endif
#else
#define GSRB_STRIDE2 // default implementation
#endif
//------------------------------------------------------------------------------------------------------------------------------
void smooth(level_type * level, int x_id, int rhs_id, double a, double b){
int block,s;
int num_my_blocks = level->num_my_blocks;
int num_my_boxes = level->num_my_boxes;
blockCopy_type * my_blocks = level->my_blocks;
box_type * my_boxes = level->my_boxes;
double * vector_base = level->vectors[0];
#pragma omp target data map(to:my_blocks[0:num_my_blocks], my_boxes[0:num_my_boxes])\
if(num_my_blocks >= GPU_THRESHOLD && GPU_OFFLOAD_ENABLE && GPU_ENABLE_SMOOTHER)
{
for(s=0;s<2*NUM_SMOOTHS;s++){ // there are two sweeps per GSRB smooth
// exchange the ghost zone...
#ifdef GSRB_OOP // out-of-place GSRB ping pongs between x and VECTOR_TEMP
if((s&1)==0){
exchange_boundary(level,x_id,stencil_get_shape());
apply_BCs(level,x_id,stencil_get_shape());
}
else{
exchange_boundary(level,VECTOR_TEMP,stencil_get_shape());
apply_BCs(level,VECTOR_TEMP,stencil_get_shape());
}
#else // in-place GSRB only operates on x
exchange_boundary(level,x_id,stencil_get_shape());
apply_BCs(level,x_id,stencil_get_shape());
#endif
// apply the smoother...
double _timeStart = getTime();
double * RedBlack_FP = level->RedBlack_FP;
int num_vectors = level->numVectors;
int box_volume = level->box_volume;
double h = level->h;
int box_ghosts = level->box_ghosts;
int xn_base_for_this_s = ((s&1) == 0) ? x_id : VECTOR_TEMP;
int xnp1_base_for_this_s = ((s&1) == 0) ? VECTOR_TEMP : x_id;
int size = level->num_my_boxes * level->box_volume;
int index_xn = xn_base_for_this_s *num_my_boxes*box_volume;
int index_xnp1 = xnp1_base_for_this_s *num_my_boxes*box_volume;
double *vector_xn = vector_base;
double *vector_xnp = vector_base;
#pragma omp target\
map(to:vector_base[0:(num_vectors*num_my_boxes*box_volume)]) \
map(to:vector_xn[index_xn:index_xn + size]) \
map(from:vector_xnp[index_xnp1:index_xnp1 + size]) \
if(num_my_blocks >= GPU_THRESHOLD && GPU_OFFLOAD_ENABLE && GPU_ENABLE_SMOOTHER)
#pragma omp teams distribute \
firstprivate(num_my_blocks, num_my_boxes, num_vectors, box_volume, h, \
box_ghosts, rhs_id, x_id, s)
for(block=0;block<num_my_blocks;block++){
const int box = my_blocks[block].read.box;
const int ilo = my_blocks[block].read.i;
const int jlo = my_blocks[block].read.j;
const int klo = my_blocks[block].read.k;
const int ihi = my_blocks[block].dim.i + ilo;
const int jhi = my_blocks[block].dim.j + jlo;
const int khi = my_blocks[block].dim.k + klo;
int i,j,k;
const double h2inv = 1.0/(h*h);
const int ghosts = box_ghosts;
const int jStride = my_boxes[box].jStride;
const int kStride = my_boxes[box].kStride;
const int color000 = (my_boxes[box].low.i^my_boxes[box].low.j^my_boxes[box].low.k^s)&1;
// is element 000 red or black on *THIS* sweep
const double * __restrict__ rhs = &vector_base[rhs_id*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
const double * __restrict__ alpha = &vector_base[VECTOR_ALPHA*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
const double * __restrict__ beta_i = &vector_base[VECTOR_BETA_I*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
const double * __restrict__ beta_j = &vector_base[VECTOR_BETA_J*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
const double * __restrict__ beta_k = &vector_base[VECTOR_BETA_K*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
const double * __restrict__ Dinv = &vector_base[VECTOR_DINV*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
#ifdef GSRB_OOP
const double * __restrict__ x_n;
double * __restrict__ x_np1;
if((s&1)==0){
x_n = &vector_xn[x_id*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
x_np1 = &vector_xnp[VECTOR_TEMP*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
}
else{
x_n = &vector_xn[VECTOR_TEMP*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
x_np1 = &vector_xnp[x_id*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
}
#else
// i.e. [0] = first non ghost zone point
const double * __restrict__ x_n = &vector_base[VECTOR_TEMP*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
// i.e. [0] = first non ghost zone point
double * __restrict__ x_np1 = &vector_base[x_id*num_my_boxes*box_volume +
box*box_volume +
ghosts*(1+jStride+kStride)];
#endif
#if defined(GSRB_FP)
#error GSRB_FP has not been implemented
#pragma omp parallel for \
if(num_my_blocks >= GPU_THRESHOLD && GPU_OFFLOAD_ENABLE && GPU_ENABLE_SMOOTHER)
for(k=klo;k<khi;k++){
const double * __restrict__ RedBlack = RedBlack_FP +
ghosts*(1+jStride) +
kStride*((k^color000)&0x1);
for(j=jlo;j<jhi;j++){
for(i=ilo;i<ihi;i++){
int ij = i + j*jStride;
int ijk = i + j*jStride + k*kStride;
double Ax = apply_op_ijk(x_n);
double lambda = Dinv_ijk();
x_np1[ijk] = x_n[ijk] + RedBlack[ij]*lambda*(rhs[ijk]-Ax);
}
}
}
#elif defined(GSRB_STRIDE2)
#warning GSRB_STRIDE2 running on GPU does not give same error as CPU version, please use GSRB_BRANCH
#pragma omp parallel for \
if(num_my_blocks >= GPU_THRESHOLD && GPU_OFFLOAD_ENABLE && GPU_ENABLE_SMOOTHER)
for(k=klo;k<khi;k++){
for(j=jlo;j<jhi;j++){
#ifdef GSRB_OOP
// out-of-place must copy old value...
for(i=ilo;i<ihi;i++){
int ijk = i + j*jStride + k*kStride;
x_np1[ijk] = x_n[ijk];
}
#endif
for(i=ilo+((ilo^j^k^color000)&1);i<ihi;i+=2){ // stride-2 GSRB
int ijk = i + j*jStride + k*kStride;
double Ax = apply_op_ijk(x_n);
double lambda = Dinv_ijk();
x_np1[ijk] = x_n[ijk] + lambda*(rhs[ijk]-Ax);
}
}
}
#elif defined(GSRB_BRANCH)
#pragma omp parallel for \
collapse(3) if(num_my_blocks >= GPU_THRESHOLD && GPU_OFFLOAD_ENABLE && GPU_ENABLE_SMOOTHER)
for(k=klo;k<khi;k++){
for(j=jlo;j<jhi;j++){
for(i=ilo;i<ihi;i++){
int ijk = i + j*jStride + k*kStride;
if((i^j^k^color000^1)&1){ // looks very clean when [0] is i,j,k=0,0,0
double Ax = apply_op_ijk(x_n);
double lambda = Dinv_ijk();
x_np1[ijk] = x_n[ijk] + lambda*(rhs[ijk]-Ax);
#ifdef GSRB_OOP
}else{
x_np1[ijk] = x_n[ijk]; // copy old value when sweep color != cell color
#endif
}
}
}
}
#else
#error no GSRB implementation was specified
#endif
} // boxes
level->timers.smooth += (double)(getTime()-_timeStart);
} // s-loop
} //target data
}
//------------------------------------------------------------------------------------------------------------------------------
|
collatzSieve2toK_FindPatterns_GPU.c | /* ******************************************
Find deltaN, count numbers to be tested,
and find unique patterns for 2^k sieve.
Patterns are compressed 4-to-1 by only looking at n%4==3.
Not a huge amount of RAM is used.
Compile and run via something like...
clang -O3 collatzSieve2toK_FindPatterns_GPU.c -lOpenCL -fopenmp
time ./a.out |tee -a log47.txt &
To remove any checkpoints once the code is fully completed, run...
rm temp*
To configure OpenMP, you can change the argument of num_threads().
Just search this code for "num_threads".
Using more CPU threads is great when you have a fast GPU and large deltaN.
If you use too many CPU threads, the 0th thread will end up "busy waiting"
for the GPU to finish. I wouldn't do more threads than physical CPU cores
to prevent bottlenecks due to sharing resources.
Something like the following can eventually be useful
after putting all k < 47 into log.txt...
sort log.txt | uniq > logSorted.txt
sort log47.txt > log47Sorted.txt
comm -23 logSorted.txt log47Sorted.txt
Ideally nothing will be output!
But, if there is output, just combine it with log47!
Will the following return anything?
comm -23 log47Sorted.txt logSorted.txt
k < 81 must be true.
You'll need a 64-bit computer with a not-ancient version of gcc
in order for __uint128_t to work.
Collatz conjecture is the following...
Repeated application of following f eventually reduces any n>1 integer to 1.
f(n) = (3*n+1)/2 if n%2 = 1
f(n) = n/2 if n%2 = 0
This code will analyze a sieve of size 2^k.
If n = 2^k*N + i always reduces after no more than k steps for all N,
there is no need to ever test these numbers.
This code tests all 0 <= i < 2^k to see if this reduction occurs.
This file does an extra search.
For n0 belonging to the numbers less than 2^k that remain to be excluded,
see if n0 joins the path of any numbers n0 - deltaN <= n < n0
in the same j<=k steps having undergone the same c increases.
It can be shown that...
deltaN <= 2^(k - minC)
The above is derived using minC > k / log2(3) being the lowest c that does not
give already-ruled-out n0. You want to think about the lowest c since
it gives you the greatest deltaN. After k steps with c increases...
n0 -> 3^c / 2^k * n0 + something
where something does not depend on n0 (only the order of increases and decreases).
Then define...
deltaSomething = (something2 from k-c decreases then c increases)
- (something1 from c increases then k-c decreases)
where it is easiest to calculate these somethings using n0=0.
Anyway...
deltaN <= deltaSomething / (3^c / 2^k) <= (3/2)^c / (3^c / 2^k)
deltaN <= 2^(k-c) <= 2^(k-minc)
Here is some Python code for calculating a something2...
----
n = 0.0
for i in range(c):
n = (3*n+1) / 2
something2 = n # something2 < (3/2)^c
----
To get the something1, divide something2 by 2^(k-c).
Using the same derivation idea above, you may find a tighter limit...
deltaN <= something2 * (2^k - 2^minC) / 3^minC
I bet a clever person could restrict deltaN more since deltaN must be an integer.
In fact, I succeeded! Here are some of the results that take no more
than a couple hours to find...
k = 41: deltaN <= 1215
k = 42: deltaN <= 1647
k = 43: deltaN <= 1647
k = 44: deltaN <= 4207
k = 45: deltaN <= 5231
k = 46: deltaN <= 5231
I still need to run these k values to get the actual experimental deltaN,
but the above numbers GREATLY speed this up!
Parts of this file are modified from...
https://github.com/xbarin02/collatz/blob/master/src/gpuworker/gpuworker.c
The parts modified from the above project use tabs to indent
whereas my original code has no tabs.
This applies to the kernel file too, which came from modifying...
https://github.com/xbarin02/collatz/blob/master/src/gpuworker/kernel32-precalc.cl
(c) 2021 Bradley Knockel
****************************************** */
#include <stdlib.h>
#include <stdio.h>
#include <stdint.h>
#include <inttypes.h>
#include <CL/cl.h>
#include <sys/time.h>
struct timeval tv1, tv2;
/*
For the OpenCL kernel
TASK_UNITS <= TASK_SIZE <= k
The following are in log2...
*/
const int TASK_SIZE = 26; // will use a bit more than 2^(TASK_SIZE + 4) bytes of RAM
const int TASK_UNITS = 16;
// k = 36 would take a couple hours to run on CPU
// but it takes about 5.5 minutes on an Nvidia Quadro P4000
// k = 40 would take over a day to run on a CPU core,
// but it takes about 85 minutes on an Nvidia Quadro P4000.
const int k = 46;
/*
The following is only used if code sets deltaN to be larger than this
If you are only interested in deltaN=1 sieves, set this to 1
*/
const uint64_t deltaN_max = 1000000;
// how many checkpoints to save out ?
// will save (2^log2saves - 1) times
// log2saves must be less than or equal to k - TASK_SIZE
const int log2saves = 6;
// which checkpoint to load? 0 if none.
// If loading, don't change any parameters of this code except this one!!
// If loading, will load the files named temp#____, where loadCheckpoint is the #.
const uint64_t loadCheckpoint = 0;
// set kernel file
static const char *kernel = "kernel.cl";
// Find patterns of size 2^K, where K <= TASK_SIZE.
// 2 <= K <= 9 is hardcoded into the analysis.
const int K = 8;
// Prints __uint128_t numbers since printf("%llu\n", x) doesn't work
// since "long long" is only 64-bit in gcc.
// This function works for any non-negative integer less than 128 bits.
void print128(__uint128_t n) {
char a[40] = { '\0' };
char *p = a + 39;
if (n==0) { *--p = (char)('0'); }
else { for (; n != 0; n /= 10) *--p = (char)('0' + n % 10); }
printf("%s", p);
}
// prints all m bits, where m <= 128
void printBinary128(__uint128_t n, int m) {
__uint128_t mask = (__uint128_t)1 << (m-1);
for (int i=0; i<m; i++) {
if (n & mask) { printf("1"); }
else { printf("0"); }
mask >>= 1;
}
printf("\n");
fflush(stdout);
}
__uint128_t* patterns;
// Binary search
// But, if not found, return location of where it should go.
// I found it useful to, by hand, run through {0,1,2,3,4,5,6,7,8,9}
// to look for 2.5 and 3.5. Also try -0.5 and 9.5.
// For an empty patterns[] array, l=0 and r=-1, so it works!
int32_t binarySearch(int32_t l, int32_t r, __uint128_t bytes) {
if (r >= l) {
int mid = l + (r - l) / 2;
if (patterns[mid] == bytes) return mid;
if (patterns[mid] > bytes) return binarySearch(l, mid - 1, bytes);
return binarySearch(mid + 1, r, bytes);
}
return l;
}
char *load_source(size_t *size)
{
FILE *fp;
char *str;
printf("KERNEL %s\n", kernel);
fp = fopen(kernel, "r");
if (fp == NULL) {
return NULL;
}
str = malloc(1<<20);
if (str == NULL) {
return NULL;
}
*size = fread(str, 1, 1<<20, fp);
fclose(fp);
return str;
}
int main(void) {
int j;
__uint128_t count, deltaN, n0start, maxM;
// for doing stuff for finding unique patterns
int32_t nn, mm, oo;
const __uint128_t k2 = (__uint128_t)1 << k; // 2^k
const int32_t bits = (__uint128_t)1 << (K-2); // bits needed for each pattern
// lookup deltaN (else calculate it)
if (k<=5) deltaN = 0;
else if (k<=18) deltaN = 1;
else if (k<=24) deltaN = 6;
else if (k<=27) deltaN = 12;
else if (k<=29) deltaN = 25;
else if (k<=32) deltaN = 34;
else if (k<=33) deltaN = 37;
else if (k<=35) deltaN = 46;
else if (k<=37) deltaN = 88;
else if (k<=40) deltaN = 120;
else if (k<=43) deltaN = 208;
else if (k<=45) deltaN = 222;
else if (k<=46) deltaN = 5231; // needs experimental reduction
else if (k<=47) deltaN = 6015; // needs experimental reduction
else {
int minC = 0.6309297535714574371 * k + 1.0; // add 1 to get ceiling
double minC3 = 1.0; // 3^minC
for (j=0; j<minC; j++) minC3 *= 3.0;
double deltaNtemp = 0.0;
for (j=0; j<minC; j++) deltaNtemp = (3.0 * deltaNtemp + 1.0) / 2.0;
deltaNtemp = deltaNtemp * (((__uint128_t)1<<k) - ((__uint128_t)1<<minC)) / minC3;
deltaN = deltaNtemp + 1.0; // add 1 to get ceiling
}
if (deltaN > deltaN_max) deltaN = deltaN_max;
printf(" k = %i\n", k);
printf(" deltaN = ");
print128(deltaN);
printf("\n");
fflush(stdout);
__uint128_t deltaNequals1count = 0;
__uint128_t totalDeltaNcount = 0;
// Array of unique patterns.
// I can prove that length = 2^11 is for sure enough for K=7.
// I can prove that length = 2^16 is for sure enough for K=8.
// I can prove that length = 2^31 is for sure enough for K=9.
int32_t length;
if (K == 9) length = 1048576; // 16 MiB of RAM for 128-bit int (enough ???)
else length = 32768; // 0.5 MiB of RAM for 128-bit int
patterns = (__uint128_t*)malloc(length*sizeof(__uint128_t));
for (int32_t i=0; i<length; i++) { patterns[i] = 0; }
// start timing
gettimeofday(&tv1, NULL);
/* setup OpenCL and start first kernel run */
int g_ocl_ver1 = 0;
int g_device_index = 0;
cl_mem mem_obj_arraySmall;
cl_mem mem_obj_arrayLarge;
cl_mem mem_obj_arrayIncreases;
size_t arraySmallCount = (size_t)1 << (TASK_SIZE - 2); // only every 4th is needed
size_t arrayLargeCount = (size_t)1 << (TASK_SIZE + 1); // two of these are needed per uint128
size_t arrayIncreasesCount = (size_t)1 << TASK_SIZE;
const size_t patternsPerArraySmall = arraySmallCount / bits;
uint8_t *arraySmall = malloc(sizeof(cl_uchar) * arraySmallCount);
uint64_t *arrayLarge = malloc(sizeof(cl_ulong) * arrayLargeCount);
uint8_t *arrayIncreases = malloc(sizeof(cl_uchar) * arrayIncreasesCount);
if ( arraySmall == NULL || arrayLarge == NULL || arrayIncreases == NULL ) {
return -1;
}
uint64_t taskIDmax = ((uint64_t)1 << (k - TASK_SIZE)); // the number of kernel runs
uint64_t tasksPerSave = taskIDmax / ((uint64_t)1 << log2saves);
uint64_t taskGroups = taskIDmax / tasksPerSave;
uint64_t task_id_run = loadCheckpoint * tasksPerSave; // the kernel run will be 1 ahead of the CPU analysis
cl_int ret;
cl_platform_id platform_id[64];
cl_uint num_platforms;
cl_device_id *device_id = NULL;
cl_uint num_devices;
cl_context context;
cl_command_queue command_queue;
char *program_string;
size_t program_length;
cl_program program;
cl_kernel kernel;
size_t global_work_size;
int platform_index = 0;
int device_index = g_device_index;
char options[4096];
ret = clGetPlatformIDs(0, NULL, &num_platforms);
if (ret != CL_SUCCESS) {
printf("[ERROR] clGetPlarformIDs failed with = %" PRIi32 "\n", ret);
return -1;
}
printf("[DEBUG] num_platforms = %u\n", (unsigned)num_platforms);
if (num_platforms == 0) {
printf("[ERROR] no platform\n");
return -1;
}
ret = clGetPlatformIDs(num_platforms, &platform_id[0], NULL);
if (ret != CL_SUCCESS) {
printf("[ERROR] clGetPlarformIDs failed\n");
return -1;
}
next_platform:
printf("[DEBUG] platform = %i\n", platform_index);
num_devices = 0;
ret = clGetDeviceIDs(platform_id[platform_index], CL_DEVICE_TYPE_GPU, 0, NULL, &num_devices);
if (ret == CL_DEVICE_NOT_FOUND) {
if ((cl_uint)platform_index + 1 < num_platforms) {
platform_index++;
goto next_platform;
}
}
if (ret != CL_SUCCESS) {
printf("[ERROR] clGetDeviceIDs failed with %" PRIi32 "\n", ret);
return -1;
}
printf("[DEBUG] num_devices = %u\n", num_devices);
device_id = malloc(sizeof(cl_device_id) * num_devices);
if (device_id == NULL) {
return -1;
}
ret = clGetDeviceIDs(platform_id[platform_index], CL_DEVICE_TYPE_GPU, num_devices, &device_id[0], NULL);
if (ret != CL_SUCCESS) {
return -1;
}
for (; (cl_uint)device_index < num_devices; ++device_index) {
printf("[DEBUG] device_index = %i...\n", device_index);
context = clCreateContext(NULL, 1, &device_id[device_index], NULL, NULL, &ret);
if (ret == CL_INVALID_DEVICE) {
continue;
}
if (ret != CL_SUCCESS) {
printf("[ERROR] clCreateContext failed with %" PRIi32 "\n", ret);
return -1;
}
printf("[DEBUG] context created @ device_index = %i\n", device_index);
command_queue = clCreateCommandQueue(context, device_id[device_index], 0, &ret);
if (ret != CL_SUCCESS) {
printf("[ERROR] clCreateCommandQueue failed\n");
return -1;
}
mem_obj_arraySmall = clCreateBuffer(context, CL_MEM_WRITE_ONLY, sizeof(cl_uchar) * arraySmallCount, NULL, &ret);
if (ret != CL_SUCCESS) {
printf("[ERROR] clCreateBuffer failed\n");
return -1;
}
mem_obj_arrayLarge = clCreateBuffer(context, CL_MEM_WRITE_ONLY, sizeof(cl_ulong) * arrayLargeCount, NULL, &ret);
if (ret != CL_SUCCESS) {
printf("[ERROR] clCreateBuffer failed\n");
return -1;
}
mem_obj_arrayIncreases = clCreateBuffer(context, CL_MEM_WRITE_ONLY, sizeof(cl_uchar) * arrayIncreasesCount, NULL, &ret);
if (ret != CL_SUCCESS) {
printf("[ERROR] clCreateBuffer failed\n");
return -1;
}
program_string = load_source(&program_length);
if (program_string == NULL) {
printf("[ERROR] load_source failed\n");
return -1;
}
program = clCreateProgramWithSource(context, 1, (const char **)&program_string, (const size_t *)&program_length, &ret);
if (ret != CL_SUCCESS) {
printf("[ERROR] clCreateProgramWithSource failed\n");
return -1;
}
sprintf(options, "%s -D SIEVE_LOGSIZE=%i -D TASK_SIZE=%i -D TASK_UNITS=%i",
g_ocl_ver1 ? "" : "-cl-std=CL2.0",
k,
TASK_SIZE,
TASK_UNITS
);
printf("[DEBUG] clBuildProgram options: %s\n", options);
ret = clBuildProgram(program, 1, &device_id[device_index], options, NULL, NULL);
if (ret == CL_BUILD_PROGRAM_FAILURE) {
size_t log_size;
char *log;
clGetProgramBuildInfo(program, device_id[device_index], CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size);
log = malloc(log_size);
clGetProgramBuildInfo(program, device_id[device_index], CL_PROGRAM_BUILD_LOG, log_size, log, NULL);
printf("%s\n", log);
}
if (ret != CL_SUCCESS) {
printf("[ERROR] clBuildProgram failed with %" PRIi32 "\n", ret);
return -1;
}
kernel = clCreateKernel(program, "worker", &ret);
if (ret != CL_SUCCESS) {
return -1;
}
global_work_size = (size_t)1 << TASK_UNITS;
printf("[DEBUG] global_work_size = %zu\n", global_work_size);
ret = clSetKernelArg(kernel, 0, sizeof(cl_mem), (void *)&mem_obj_arraySmall);
if (ret != CL_SUCCESS) {
return -1;
}
ret = clSetKernelArg(kernel, 1, sizeof(cl_mem), (void *)& mem_obj_arrayLarge);
if (ret != CL_SUCCESS) {
return -1;
}
ret = clSetKernelArg(kernel, 2, sizeof(cl_mem), (void *)&mem_obj_arrayIncreases);
if (ret != CL_SUCCESS) {
return -1;
}
ret = clSetKernelArg(kernel, 3, sizeof(cl_ulong), (void *)&task_id_run);
if (ret != CL_SUCCESS) {
return -1;
}
ret = clEnqueueNDRangeKernel(command_queue, kernel, 1, NULL, &global_work_size, NULL, 0, NULL, NULL);
if (ret != CL_SUCCESS) {
printf("[ERROR] clEnqueueNDRangeKernel() failed with %" PRIi32 "\n", ret);
return -1;
}
}
//// Look for unique patterns, find max deltaN, and
//// count numbers that need testing.
//// Only look at n%4 == 3, so 1/4 of the numbers.
fflush(stdout);
n0start = 3 + loadCheckpoint * tasksPerSave * arrayIncreasesCount;
count = 0;
maxM = 0; // see if deltaN is ever really reached
nn = 0; // counter for patterns array
double timePrior = 0; // from before loaded checkpoint
// temporarily hold the last deltaN 128-bit integers of old kernel run (also hold the last deltaN 8-bit increases)
uint64_t *hold = malloc(sizeof(cl_ulong) * deltaN * 2);
uint8_t *holdC = malloc(sizeof(cl_uchar) * deltaN);
if (loadCheckpoint) {
FILE *fp;
char path[4096];
sprintf(path, "temp%" PRIu64 "count", loadCheckpoint);
fp = fopen(path, "rb");
fread(&count, sizeof(__uint128_t), 1, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "maxM", loadCheckpoint);
fp = fopen(path, "rb");
fread(&maxM, sizeof(__uint128_t), 1, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "nn", loadCheckpoint);
fp = fopen(path, "rb");
fread(&nn, sizeof(int32_t), 1, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "hold", loadCheckpoint);
fp = fopen(path, "rb");
fread(hold, sizeof(uint64_t), deltaN*2, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "holdC", loadCheckpoint);
fp = fopen(path, "rb");
fread(holdC, sizeof(uint8_t), deltaN, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "patterns", loadCheckpoint);
fp = fopen(path, "rb");
fread(patterns, sizeof(__uint128_t), nn, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "timeElapsed", loadCheckpoint);
fp = fopen(path, "rb");
fread(&timePrior, sizeof(double), 1, fp);
fclose(fp);
printf(" Checkpoint %" PRIu64 " loaded\n", loadCheckpoint);
}
// for OpenMP threads to write to
// I probably should use uint64_t and uint8_t instead ??
__uint128_t *collect = malloc(sizeof(__uint128_t) * patternsPerArraySmall);
uint32_t *collectCount = malloc(sizeof(uint32_t) * patternsPerArraySmall);
uint32_t *collectMaxM = malloc(sizeof(uint32_t) * patternsPerArraySmall);
uint32_t *collectDeltaNcount = malloc(sizeof(uint32_t) * patternsPerArraySmall);
uint32_t *collectDeltaNequals1count = malloc(sizeof(uint32_t) * patternsPerArraySmall);
// run task_id in groups and save after each group
for (uint64_t task_id_group = loadCheckpoint; task_id_group < taskGroups; task_id_group++) {
// loop over task_id to repeatedly call the kernel and analyze results
for (uint64_t task_id = task_id_group * tasksPerSave; task_id < (task_id_group + 1) * tasksPerSave; task_id++) {
/* wait for previous kernel to finish */
clFlush(command_queue);
clFinish(command_queue);
//printf(".");
ret = clEnqueueReadBuffer(command_queue, mem_obj_arraySmall, CL_TRUE, 0, sizeof(uint8_t) * arraySmallCount, arraySmall, 0, NULL, NULL);
if (ret != CL_SUCCESS) {
printf("[ERROR] clEnqueueReadBuffer failed with = %" PRIi32 "\n", ret);
return -1;
}
ret = clEnqueueReadBuffer(command_queue, mem_obj_arrayLarge, CL_TRUE, 0, sizeof(uint64_t) * arrayLargeCount, arrayLarge, 0, NULL, NULL);
if (ret != CL_SUCCESS) {
printf("[ERROR] clEnqueueReadBuffer failed with = %" PRIi32 "\n", ret);
return -1;
}
ret = clEnqueueReadBuffer(command_queue, mem_obj_arrayIncreases, CL_TRUE, 0, sizeof(uint8_t) * arrayIncreasesCount, arrayIncreases, 0, NULL, NULL);
if (ret != CL_SUCCESS) {
printf("[ERROR] clEnqueueReadBuffer failed with = %" PRIi32 "\n", ret);
return -1;
}
/* run next kernel */
if ( task_id < taskIDmax - 1 ) {
task_id_run = task_id + 1;
clSetKernelArg(kernel, 3, sizeof(cl_ulong), (void *)&task_id_run);
ret = clEnqueueNDRangeKernel(command_queue, kernel, 1, NULL, &global_work_size, NULL, 0, NULL, NULL);
if (ret != CL_SUCCESS) {
printf("[ERROR] clEnqueueNDRangeKernel() failed with %" PRIi32 "\n", ret);
return -1;
}
} else {
printf("\n");
}
#pragma omp parallel for schedule(guided) num_threads(6)
for (size_t iPattern = 0; iPattern < patternsPerArraySmall; iPattern++) {
__uint128_t aa = 0; // stores the pattern
int32_t bb = 0; // counter for indexing bits of pattern
uint32_t countTiny = 0;
uint32_t maxMtiny = maxM;
uint32_t countDeltaNTiny = 0;
uint32_t countDeltaNequals1Tiny = 0;
for (size_t index = iPattern*bits; index < (iPattern + 1)*bits; index++) {
// check to see if if 2^k*N + n0 is reduced in no more than k steps
int temp = arraySmall[index];
// if temp=1, use another method to try to get temp=0
if (temp) {
// for seeing if n joins the previous number, nm
size_t iStart = 8*index + 6; // (4*index + 3) * 2
__uint128_t n = ( (__uint128_t)arrayLarge[iStart] << 64 ) | (__uint128_t)arrayLarge[iStart + 1] ;
__uint128_t nm;
// for seeing if the number of increases, c, equals the previous increases, cm
size_t iStartC = 4*index + 3;
int c = (int)arrayIncreases[iStartC];
int cm;
// the number being tested
__uint128_t n0 = n0start + index * 4;
__uint128_t lenList = ((deltaN+1) < (n0-1)) ? (deltaN+1) : (n0-1) ; // get min(deltaN+1, n0-1)
for(size_t m=1; m<lenList; m++) {
if ( iStart >= 2*m ) {
nm = ( (__uint128_t)arrayLarge[iStart - 2*m] << 64 ) | (__uint128_t)arrayLarge[iStart - 2*m + 1];
cm = (int)arrayIncreases[iStartC - m];
} else {
if (task_id == 0) break;
size_t iAdjusted = 2*deltaN + iStart - 2*m;
nm = ( (__uint128_t)hold[iAdjusted] << 64 ) | (__uint128_t)hold[iAdjusted + 1];
size_t iAdjustedC = deltaN + iStartC - m;
cm = (int)holdC[iAdjustedC];
}
if ( nm == n ) {
if ( cm == c ) {
if(m > maxMtiny){
maxMtiny = m;
}
countDeltaNTiny++;
if (m==1) countDeltaNequals1Tiny++;
temp = 0;
break;
}
// I'm very curious if the following will ever happen! If it never does, arrayIncreases[], Salpha, and holdC[] are not needed!
printf(" n0 and m are "); print128(n0); printf(" and "); print128(m); printf("\n");
printf(" cm and c are %i and %i\n", cm, c);
printf(" nm and n are "); print128(nm); printf(" and "); print128(n); printf("\n");
fflush(stdout);
}
}
}
if (temp) {
aa += (__uint128_t)1 << bb;
countTiny++;
}
bb++;
}
collect[iPattern] = aa;
collectCount[iPattern] = countTiny;
collectMaxM[iPattern] = maxMtiny;
collectDeltaNcount[iPattern] = countDeltaNTiny;
collectDeltaNequals1count[iPattern] = countDeltaNequals1Tiny;
}
n0start += arrayIncreasesCount;
for (size_t iPattern = 0; iPattern < patternsPerArraySmall; iPattern++) {
__uint128_t aa = collect[iPattern];
count += collectCount[iPattern];
uint32_t maxMtiny = collectMaxM[iPattern];
totalDeltaNcount += collectDeltaNcount[iPattern];
deltaNequals1count += collectDeltaNequals1count[iPattern];
// add aa to patterns if not already in patterns (binary search; sorted)
mm = binarySearch(0, nn-1, aa);
if (patterns[mm] != aa) { // add into a sorted patterns[]
for (oo = nn; oo > mm; oo--) // shift things over by 1 spot
patterns[oo] = patterns[oo - 1];
patterns[mm] = aa;
nn++;
}
if (maxMtiny > maxM) maxM = maxMtiny;
}
// fill hold[] and holdC[] with arrayLarge[] and arrayIncreases[], respectively
if ( task_id < taskIDmax - 1 ) {
for (size_t i=0; i < 2*deltaN; i++)
hold[i] = arrayLarge[arrayLargeCount - 2*deltaN + i];
for (size_t i=0; i < deltaN; i++)
holdC[i] = arrayIncreases[arrayIncreasesCount - deltaN + i];
}
}
// save everything out!
if ( task_id_group < taskGroups - 1 ) {
FILE *fp;
char path[4096];
sprintf(path, "temp%" PRIu64 "count", task_id_group + 1);
fp = fopen(path, "wb");
fwrite(&count, sizeof(__uint128_t), 1, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "maxM", task_id_group + 1);
fp = fopen(path, "wb");
fwrite(&maxM, sizeof(__uint128_t), 1, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "nn", task_id_group + 1);
fp = fopen(path, "wb");
fwrite(&nn, sizeof(int32_t), 1, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "hold", task_id_group + 1);
fp = fopen(path, "wb");
fwrite(hold, sizeof(uint64_t), deltaN*2, fp);
fclose(fp);
sprintf(path, "temp%" PRIu64 "holdC", task_id_group + 1);
fp = fopen(path, "wb");
fwrite(holdC, sizeof(uint8_t), deltaN, fp);
fclose(fp);
// This is the largest one (though hold[] can be large too)
// to be sure this fully saves, don't save it last
sprintf(path, "temp%" PRIu64 "patterns", task_id_group + 1);
fp = fopen(path, "wb");
fwrite(patterns, sizeof(__uint128_t), nn, fp);
fclose(fp);
gettimeofday(&tv2, NULL);
double timeElapsed = (double)(tv2.tv_usec - tv1.tv_usec) / 1000000.0 + (double)(tv2.tv_sec - tv1.tv_sec);
timeElapsed += timePrior;
sprintf(path, "temp%" PRIu64 "timeElapsed", task_id_group + 1);
fp = fopen(path, "wb");
fwrite(&timeElapsed, sizeof(double), 1, fp);
fclose(fp);
}
}
gettimeofday(&tv2, NULL);
printf(" Elapsed wall time is %e seconds\n",
(double)(tv2.tv_usec - tv1.tv_usec) / 1000000.0 + (double)(tv2.tv_sec - tv1.tv_sec) + timePrior );
const __uint128_t K2 = (__uint128_t)1 << K; // bit-shift trick to get 2^K
const __uint128_t len2 = (__uint128_t)1 << (k-K); // number of chunks
print128(count);
printf(" out of ");
print128(k2);
printf(" need testing, so %f\n", (double)count / (double)k2);
if (maxM > 0) {
printf(" max deltaN = ");
print128(maxM);
printf("\n");
}
printf("\n");
printf("There are ");
print128(nn);
printf(" unique ");
print128(K2);
printf("-bit patterns in ");
print128(len2);
printf(" ");
print128(K2);
printf("-bit chunks of ");
print128(k2);
printf(" values...\n");
for (mm=0; mm<nn; mm++) { printBinary128(patterns[mm], bits); }
printf("\n");
printf(" need testing without any deltaN: ");
print128(count + totalDeltaNcount);
printf("\n need testing with only deltaN = 1: ");
print128(count + totalDeltaNcount - deltaNequals1count);
printf("\n total deltaN count = ");
print128(totalDeltaNcount);
printf("\n deltaN=1 count: ");
print128(deltaNequals1count);
printf("\n");
ret = clReleaseKernel(kernel);
ret = clReleaseProgram(program);
ret = clReleaseCommandQueue(command_queue);
ret = clReleaseContext(context);
free(program_string);
free(device_id);
free(patterns);
free(hold);
free(holdC);
free(collect);
free(collectCount);
free(collectMaxM);
free(collectDeltaNcount);
free(collectDeltaNequals1count);
free(arraySmall);
free(arrayLarge);
free(arrayIncreases);
return 0;
}
|
omp-taskgroup.c | #include <omp.h>
#include <unistd.h>
#include <stdio.h>
#define THREADS 2
#define LEN 2
int main(void)
{
int counter[THREADS]={0};
#pragma omp parallel num_threads(THREADS)
{
#pragma omp taskgroup
for (counter[omp_get_thread_num()]=0;
counter[omp_get_thread_num()]<LEN;
counter[omp_get_thread_num()]++)
{
#pragma omp task
{
#pragma omp task
{usleep(10);}
#pragma omp task
{usleep(10);}
#pragma omp task
{usleep(10);}
}
}
#pragma omp taskgroup
for (counter[omp_get_thread_num()]=0;
counter[omp_get_thread_num()]<LEN;
counter[omp_get_thread_num()]++)
{
#pragma omp task
{
#pragma omp task
{
#pragma omp task
{usleep(10);}
#pragma omp task
{usleep(10);}
}
#pragma omp task
{usleep(10);}
}
}
}
return 0;
}
|
alloc_benchmark.c | /*
* Copyright (C) 2016 - 2018 Intel Corporation.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright notice(s),
* this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice(s),
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER(S) ``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 COPYRIGHT HOLDER(S) 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.
*/
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <sys/time.h>
#include <unistd.h>
#include <stdint.h>
#include <limits.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#if defined(HBWMALLOC)
#include <hbwmalloc.h>
#define MALLOC_FN hbw_malloc
#define FREE_FN hbw_free
#elif defined (TBBMALLOC)
#include "tbbmalloc.h"
#define MALLOC_FN scalable_malloc
#define FREE_FN scalable_free
#elif defined (PMEMMALLOC)
#include <sys/stat.h>
#include "memkind.h"
#define MALLOC_FN(x) memkind_malloc(pmem_bench_kind, (x))
#define FREE_FN(x) memkind_free(pmem_bench_kind, (x))
static const size_t PMEM_PART_SIZE = 0;
static const char *PMEM_DIR = "/tmp/";
static memkind_t pmem_bench_kind;
#else
#define MALLOC_FN malloc
#define FREE_FN free
#endif
double ctimer(void);
void usage(char *name);
int main(int argc, char *argv[])
{
#ifdef _OPENMP
int nthr = omp_get_max_threads();
#else
int nthr = 1;
#endif
long n, size;
size_t alloc_size;
unsigned long i;
double dt, t_start, t_end, t_malloc, t_free, t_first_malloc, t_first_free,
malloc_time = 0.0, free_time = 0.0, first_malloc_time, first_free_time;
void *ptr;
#ifdef TBBMALLOC
int ret;
ret = load_tbbmalloc_symbols();
if (ret) {
printf("Error: TBB symbols not loaded (ret: %d)\n", ret);
return EXIT_FAILURE;
}
#endif
#ifdef PMEMMALLOC
struct stat st;
/* Handle command line arguments */
if (argc == 3 || argc == 4) {
n = atol(argv[1]);
size = atol(argv[2]);
if (argc == 4) {
if (stat(argv[3], &st) != 0 || !S_ISDIR(st.st_mode)) {
usage(argv[0]);
return EXIT_FAILURE;
} else {
PMEM_DIR = argv[3];
}
}
}
if ((argc != 3 && argc != 4) || n < 0 || size < 0 || size > (LONG_MAX >> 10)) {
usage(argv[0]);
return EXIT_FAILURE;
}
int err = memkind_create_pmem(PMEM_DIR, PMEM_PART_SIZE, &pmem_bench_kind);
if (err) {
printf("Error: memkind_create_pmem failed %d\n", err);
return EXIT_FAILURE;
}
#else
/* Handle command line arguments */
if (argc == 3) {
n = atol(argv[1]);
size = atol(argv[2]);
}
if (argc != 3 || n < 0 || size < 0 || size > (LONG_MAX >> 10)) {
usage(argv[0]);
return EXIT_FAILURE;
}
#endif
alloc_size = (size_t) size * 1024;
/* Get pagesize and compute page_mask */
const size_t page_size = sysconf(_SC_PAGESIZE);
const size_t page_mask = ~(page_size-1);
/* Warm up */
t_first_malloc = ctimer();
ptr = MALLOC_FN(alloc_size);
first_malloc_time = ctimer() - t_first_malloc;
if (ptr == NULL) {
printf("Error: first allocation failed\n");
return EXIT_FAILURE;
}
t_first_free = ctimer();
FREE_FN(ptr);
first_free_time = ctimer() - t_first_free;
ptr = NULL;
t_start = ctimer();
#pragma omp parallel private(i,t_malloc,t_free,ptr) reduction(max:malloc_time,free_time)
{
malloc_time = 0.0;
free_time = 0.0;
for (i=0; i<n; i++) {
t_malloc = ctimer();
ptr = (void *) MALLOC_FN(alloc_size);
malloc_time += ctimer() - t_malloc;
#pragma omp critical
{
if (ptr == NULL) {
printf("Error: allocation failed\n");
exit(EXIT_FAILURE);
}
}
/* Make sure to touch every page */
char *end = ptr + alloc_size;
char *aligned_beg = (char *)((uintptr_t)ptr & page_mask);
while(aligned_beg < end) {
char *temp_ptr = (char *) aligned_beg;
char value = temp_ptr[0];
temp_ptr[0] = value;
aligned_beg += page_size;
}
t_free = ctimer();
FREE_FN(ptr);
free_time += ctimer() - t_free;
ptr = NULL;
}
}
t_end = ctimer();
dt = t_end - t_start;
printf("%d %lu %8.6f %8.6f %8.6f %8.6f %8.6f\n",
nthr, size, dt/n, malloc_time/n, free_time/n, first_malloc_time,
first_free_time);
#ifdef PMEMMALLOC
err = memkind_destroy_kind(pmem_bench_kind);
if (err) {
printf("Error: memkind_destroy_kind failed %d\n", err);
return EXIT_FAILURE;
}
#endif
return EXIT_SUCCESS;
}
void usage(char *name)
{
#ifdef PMEMMALLOC
printf("Usage: %s <N> <SIZE> [DIR], where \n"
"N is an number of repetitions \n"
"SIZE is an allocation size in kbytes\n"
"DIR is a custom path for PMEM kind, (default: \"/tmp/\")\n",
name);
#else
printf("Usage: %s <N> <SIZE>, where \n"
"N is an number of repetitions \n"
"SIZE is an allocation size in kbytes\n", name);
#endif
}
inline double ctimer()
{
struct timeval tmr;
gettimeofday(&tmr, NULL);
/* Return time in ms */
return (tmr.tv_sec + tmr.tv_usec/1000000.0)*1000;
}
|
syncbench.c | /****************************************************************************
* *
* OpenMP MicroBenchmark Suite - Version 3.0 *
* *
* produced by *
* *
* Mark Bull, Fiona Reid and Nix Mc Donnell *
* *
* at *
* *
* Edinburgh Parallel Computing Centre *
* *
* email: markb@epcc.ed.ac.uk or fiona@epcc.ed.ac.uk *
* *
* *
* This version copyright (c) The University of Edinburgh, 2011. *
* *
* *
* Licensed under the Apache License, Version 2.0 (the "License"); *
* you may not use this file except in compliance with the License. *
* You may obtain a copy of the License at *
* *
* http://www.apache.org/licenses/LICENSE-2.0 *
* *
* Unless required by applicable law or agreed to in writing, software *
* distributed under the License is distributed on an "AS IS" BASIS, *
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. *
* See the License for the specific language governing permissions and *
* limitations under the License. *
* *
****************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <omp.h>
#include "common.h"
#include "syncbench.h"
omp_lock_t lock;
int main(int argc, char **argv) {
// Start Paraver tracing
#ifdef PARAVERTRACE
Extrae_init();
#endif
init(argc, argv);
omp_init_lock(&lock);
/* GENERATE REFERENCE TIME */
reference("reference time 1", &refer);
/* TEST PARALLEL REGION */
benchmark("PARALLEL", &testpr);
/* TEST FOR */
benchmark("FOR", &testfor);
/* TEST PARALLEL FOR */
benchmark("PARALLEL FOR", &testpfor);
/* TEST BARRIER */
benchmark("BARRIER", &testbar);
/* TEST SINGLE */
benchmark("SINGLE", &testsing);
/* TEST CRITICAL*/
benchmark("CRITICAL", &testcrit);
/* TEST LOCK/UNLOCK */
benchmark("LOCK/UNLOCK", &testlock);
/* TEST ORDERED SECTION */
benchmark("ORDERED", &testorder);
/* GENERATE NEW REFERENCE TIME */
reference("reference time 2", &referatom);
/* TEST ATOMIC */
benchmark("ATOMIC", &testatom);
/* GENERATE NEW REFERENCE TIME */
reference("reference time 3", &referred);
/* TEST REDUCTION (1 var) */
benchmark("REDUCTION", &testred);
#ifdef PARAVERTRACE
Extrae_fini();
#endif
finalise();
return EXIT_SUCCESS;
}
void refer() {
int j;
for (j = 0; j < innerreps; j++) {
delay(delaylength);
}
}
void referatom(){
int j;
double aaaa = 0.0;
double epsilon = 1.0e-15;
double b, c;
b = 1.0;
c = (1.0 + epsilon);
for (j = 0; j < innerreps; j++) {
aaaa += b;
b *= c;
}
if (aaaa < 0.0)
printf("%f\n", aaaa);
}
void referred() {
int j;
int aaaa = 0;
for (j = 0; j < innerreps; j++) {
delay(delaylength);
aaaa += 1;
}
}
void testpr() {
int j;
for (j = 0; j < innerreps; j++) {
#pragma omp parallel
{
delay(delaylength);
}
}
}
void testfor() {
int i, j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps; j++) {
#pragma omp for
for (i = 0; i < nthreads; i++) {
delay(delaylength);
}
}
}
}
void testpfor() {
int i, j;
for (j = 0; j < innerreps; j++) {
#pragma omp parallel
#pragma omp for
for (i = 0; i < nthreads; i++) {
delay(delaylength);
}
}
}
void testbar() {
int j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps; j++) {
delay(delaylength);
#pragma omp barrier
}
}
}
void testsing() {
int j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps; j++) {
#pragma omp single
delay(delaylength);
}
}
}
void testcrit() {
int j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps / nthreads; j++) {
#pragma omp critical
{
delay(delaylength);
}
}
}
}
void testlock() {
int j;
#pragma omp parallel private(j)
{
for (j = 0; j < innerreps / nthreads; j++) {
omp_set_lock(&lock);
delay(delaylength);
omp_unset_lock(&lock);
}
}
}
void testorder() {
int j;
#pragma omp parallel
#pragma omp for ordered schedule (static,1)
for (j = 0; j < (int)innerreps; j++) {
#pragma omp ordered
delay(delaylength);
}
}
void testatom() {
int j;
double aaaa = 0.0;
double epsilon = 1.0e-15;
double b,c;
b = 1.0;
c = (1.0 + epsilon);
#pragma omp parallel private(j) firstprivate(b)
{
for (j = 0; j < innerreps / nthreads; j++) {
#pragma omp atomic
aaaa += b;
b *= c;
}
}
if (aaaa < 0.0)
printf("%f\n", aaaa);
}
void testred() {
int j;
int aaaa = 0;
for (j = 0; j < innerreps; j++) {
#pragma omp parallel reduction(+:aaaa)
{
delay(delaylength);
aaaa += 1;
}
}
}
|
fs_csc_executor.h |
/*
****** Parallel outer loop implementation using level set
*/
int fs_csc_executor(int n, int* Lp, int* Li, double* Lx, double *x,
int levels, int *levelPtr, int *levelSet, int chunk){
if (!Lp || !Li || !x) return (0) ; /* check inputs */
for (int l = 0; l < levels; ++l) {
int li=0;
#pragma omp parallel for \
default(shared) private(li) \
schedule(auto)
for ( li = levelPtr[l]; li < levelPtr[l + 1]; ++li) {
int j = levelSet[li];
x [j] /= Lx [Lp [j]] ;
for (int p = Lp [j]+1 ; p < Lp [j+1] ; p++)
{
double tmp = Lx [p] * x [j] ;
int idx = Li[p];
#pragma omp atomic
x [idx] -= tmp ;
}
}
}
return (1) ;
}
/*
****** Parallel outer loop implementation using ParSy paper (LBC)
*/
int fs_csc_executor_H2 (int n, int* Lp, int* Li, double* Lx, double *x,
int levels, int *levelPtr, int *levelSet,
int parts, int *parPtr, int *partition,
int chunk){
if (!Lp || !Li || !x) return (0) ; /* check inputs */
for (int i1 = 0; i1 < levels ; ++i1) {
#pragma omp parallel //shared(lValues)//private(map, contribs)
{
#pragma omp for schedule(auto)
for (int j1 = levelPtr[i1]; j1 < levelPtr[i1 + 1]; ++j1) {
for (int k1 = parPtr[j1]; k1 < parPtr[j1 + 1]; ++k1) {
int j = partition[k1];
x[j] /= Lx[Lp[j]];
// #pragma omp critical
for (int p = Lp[j] + 1; p < Lp[j + 1]; p++) {
double tmp = Lx[p] * x[j];
int idx = Li[p];
#pragma omp atomic
x[idx] -= tmp ;
}
}
}
}
}
return (1) ;
}
|
test_utils.h | /*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include <stdio.h>
#include <stdlib.h>
#include <stddef.h>
#include <string>
#include <sstream>
#include <iostream>
#include <iomanip>
#include <algorithm>
#include <limits>
#include <utility>
#include <cstdint>
#include <cstdlib>
#include <map>
extern "C" {
#include "mmio.h"
}
#include <cuda.h>
#include <cuda_runtime.h>
#include <cuda_profiler_api.h>
#include <library_types.h>
#include <thrust/host_vector.h>
#include <thrust/adjacent_difference.h>
#include <thrust/reduce.h>
#include <thrust/functional.h>
#include <thrust/device_vector.h>
#include <thrust/sequence.h>
#include <rmm_utils.h>
#include <rmm/rmm.h>
#include "cugraph.h"
#include "utilities/error_utils.h"
#ifndef CUDA_RT_CALL
#define CUDA_RT_CALL( call ) \
{ \
cudaError_t cudaStatus = call; \
if ( cudaSuccess != cudaStatus ) { \
fprintf(stderr, "ERROR: CUDA RT call \"%s\" in line %d of file %s failed with %s (%d).\n", \
#call, __LINE__, __FILE__, cudaGetErrorString(cudaStatus), cudaStatus); \
} \
}
#endif
std::function<void(gdf_column*)> gdf_col_deleter = [](gdf_column* col){
if (col) {
col->size = 0;
if(col->data){
cudaStream_t stream{nullptr};
ALLOC_FREE_TRY(col->data, stream);
}
delete col;
}
};
using gdf_column_ptr = typename std::unique_ptr<gdf_column, decltype(gdf_col_deleter)>;
std::function<void(cugraph::Graph*)> Graph_deleter = [](cugraph::Graph* G){delete G;};
using Graph_ptr = typename std::unique_ptr<cugraph::Graph,decltype(Graph_deleter)>;
std::string getFileName(const std::string& s) {
char sep = '/';
#ifdef _WIN32
sep = '\\';
#endif
size_t i = s.rfind(sep, s.length());
if (i != std::string::npos) {
return(s.substr(i+1, s.length() - i));
}
return("");
}
template <typename T>
void verbose_diff(std::vector<T> & v1, std::vector<T> & v2) {
for (unsigned int i = 0; i < v1.size(); ++i)
{
if (v1[i] != v2[i])
{
std::cout << "[" << i <<"] : " << v1[i] << " vs. "<< v2[i]<<std::endl;
}
}
}
template <typename T>
int eq(std::vector<T> & v1, std::vector<T> & v2) {
if (v1 == v2)
return 0;
else {
verbose_diff(v1,v2);
return 1;
}
}
template <typename T>
void printv(size_t n, T* vec, int offset) {
thrust::device_ptr<T> dev_ptr(vec);
std::cout.precision(15);
std::cout << "sample size = "<< n << ", offset = "<< offset << std::endl;
thrust::copy(dev_ptr+offset,dev_ptr+offset+n, std::ostream_iterator<T>(std::cout, " "));//Assume no RMM dependency; TODO: check / test (potential BUG !!!!!)
std::cout << std::endl;
}
template <typename T>
void random_vals(std::vector<T> & v) {
srand(42);
for (auto i = size_t{0}; i < v.size(); i++)
v[i]=static_cast<T>(std::rand()%10);
}
template <typename T_ELEM>
void ref_csr2csc (int m, int n, int nnz, const T_ELEM *csrVals, const int *csrRowptr, const int *csrColInd, T_ELEM *cscVals, int *cscRowind, int *cscColptr, int base=0){
int i,j, row, col, index;
int * counters;
T_ELEM val;
/* early return */
if ((m <= 0) || (n <= 0) || (nnz <= 0)){
return;
}
/* build compressed column pointers */
memset(cscColptr, 0, (n+1)*sizeof(cscColptr[0]));
cscColptr[0]=base;
for (i=0; i<nnz; i++){
cscColptr[1+csrColInd[i]-base]++;
}
for(i=0; i<n; i++){
cscColptr[i+1]+=cscColptr[i];
}
/* expand row indecis and copy them and values into csc arrays according to permutation */
counters = (int *)malloc(n*sizeof(counters[0]));
memset(counters, 0, n*sizeof(counters[0]));
for (i=0; i<m; i++){
for (j=csrRowptr[i]; j<csrRowptr[i+1]; j++){
row = i+base;
col = csrColInd[j-base];
index=cscColptr[col-base]-base+counters[col-base];
counters[col-base]++;
cscRowind[index]=row;
if(csrVals!=NULL || cscVals!=NULL){
val = csrVals[j-base];
cscVals[index] = val;
}
}
}
free(counters);
}
template <typename T>
int transition_matrix_cpu(int n, int e, int *csrRowPtrA, int *csrColIndA, T *weight, T* is_leaf)
//omp_set_num_threads(4);
//#pragma omp parallel
{
int j,row, row_size;
//#pragma omp for
for (row=0; row<n; row++)
{
row_size = csrRowPtrA[row+1] - csrRowPtrA[row];
if (row_size == 0)
is_leaf[row]=1.0;
else
{
is_leaf[row]=0.0;
for (j=csrRowPtrA[row]; j<csrRowPtrA[row+1]; j++)
weight[j] = 1.0/row_size;
}
}
return 0;
}
template <typename T>
void printCsrMatI(int m, int n, int nnz,std::vector<int> & csrRowPtr, std::vector<uint16_t> & csrColInd, std::vector<T> & csrVal) {
std::vector<T> v(n);
std::stringstream ss;
ss.str(std::string());
ss << std::fixed; ss << std::setprecision(2);
for (int i = 0; i < m; i++) {
std::fill(v.begin(),v.end(),0);
for (int j = csrRowPtr[i]; j < csrRowPtr[i+1]; j++)
v[csrColInd[j]] = csrVal[j];
std::copy(v.begin(), v.end(), std::ostream_iterator<int>(ss, " ")); ss << "\n";
}
ss << "\n";
std::cout<<ss.str();
}
/// Read matrix properties from Matrix Market file
/** Matrix Market file is assumed to be a sparse matrix in coordinate
* format.
*
* @param f File stream for Matrix Market file.
* @param tg Boolean indicating whether to convert matrix to general
* format (from symmetric, Hermitian, or skew symmetric format).
* @param t (Output) MM_typecode with matrix properties.
* @param m (Output) Number of matrix rows.
* @param n (Output) Number of matrix columns.
* @param nnz (Output) Number of non-zero matrix entries.
* @return Zero if properties were read successfully. Otherwise
* non-zero.
*/
template <typename IndexType_>
int mm_properties(FILE * f, int tg, MM_typecode * t,
IndexType_ * m, IndexType_ * n,
IndexType_ * nnz) {
// Read matrix properties from file
int mint, nint, nnzint;
if(fseek(f,0,SEEK_SET)) {
fprintf(stderr, "Error: could not set position in file\n");
return -1;
}
if(mm_read_banner(f,t)) {
fprintf(stderr, "Error: could not read Matrix Market file banner\n");
return -1;
}
if(!mm_is_matrix(*t) || !mm_is_coordinate(*t)) {
fprintf(stderr, "Error: file does not contain matrix in coordinate format\n");
return -1;
}
if(mm_read_mtx_crd_size(f,&mint,&nint,&nnzint)) {
fprintf(stderr, "Error: could not read matrix dimensions\n");
return -1;
}
if(!mm_is_pattern(*t) && !mm_is_real(*t) &&
!mm_is_integer(*t) && !mm_is_complex(*t)) {
fprintf(stderr, "Error: matrix entries are not valid type\n");
return -1;
}
*m = mint;
*n = nint;
*nnz = nnzint;
// Find total number of non-zero entries
if(tg && !mm_is_general(*t)) {
// Non-diagonal entries should be counted twice
IndexType_ nnzOld = *nnz;
*nnz *= 2;
// Diagonal entries should not be double-counted
int i; int st;
for(i=0; i<nnzOld; ++i) {
// Read matrix entry
IndexType_ row, col;
double rval, ival;
if (mm_is_pattern(*t))
st = fscanf(f, "%d %d\n", &row, &col);
else if (mm_is_real(*t) || mm_is_integer(*t))
st = fscanf(f, "%d %d %lg\n", &row, &col, &rval);
else // Complex matrix
st = fscanf(f, "%d %d %lg %lg\n", &row, &col, &rval, &ival);
if(ferror(f) || (st == EOF)) {
fprintf(stderr, "Error: error %d reading Matrix Market file (entry %d)\n", st, i+1);
return -1;
}
// Check if entry is diagonal
if(row == col)
--(*nnz);
}
}
return 0;
}
/// Read Matrix Market file and convert to COO format matrix
/** Matrix Market file is assumed to be a sparse matrix in coordinate
* format.
*
* @param f File stream for Matrix Market file.
* @param tg Boolean indicating whether to convert matrix to general
* format (from symmetric, Hermitian, or skew symmetric format).
* @param nnz Number of non-zero matrix entries.
* @param cooRowInd (Output) Row indices for COO matrix. Should have
* at least nnz entries.
* @param cooColInd (Output) Column indices for COO matrix. Should
* have at least nnz entries.
* @param cooRVal (Output) Real component of COO matrix
* entries. Should have at least nnz entries. Ignored if null
* pointer.
* @param cooIVal (Output) Imaginary component of COO matrix
* entries. Should have at least nnz entries. Ignored if null
* pointer.
* @return Zero if matrix was read successfully. Otherwise non-zero.
*/
template <typename IndexType_, typename ValueType_>
int mm_to_coo(FILE *f, int tg, IndexType_ nnz,
IndexType_ * cooRowInd, IndexType_ * cooColInd,
ValueType_ * cooRVal , ValueType_ * cooIVal) {
// Read matrix properties from file
MM_typecode t;
int m, n, nnzOld;
if(fseek(f,0,SEEK_SET)) {
fprintf(stderr, "Error: could not set position in file\n");
return -1;
}
if(mm_read_banner(f,&t)) {
fprintf(stderr, "Error: could not read Matrix Market file banner\n");
return -1;
}
if(!mm_is_matrix(t) || !mm_is_coordinate(t)) {
fprintf(stderr, "Error: file does not contain matrix in coordinate format\n");
return -1;
}
if(mm_read_mtx_crd_size(f,&m,&n,&nnzOld)) {
fprintf(stderr, "Error: could not read matrix dimensions\n");
return -1;
}
if(!mm_is_pattern(t) && !mm_is_real(t) &&
!mm_is_integer(t) && !mm_is_complex(t)) {
fprintf(stderr, "Error: matrix entries are not valid type\n");
return -1;
}
// Add each matrix entry in file to COO format matrix
IndexType_ i; // Entry index in Matrix Market file
IndexType_ j = 0; // Entry index in COO format matrix
for(i=0;i<nnzOld;++i) {
// Read entry from file
int row, col;
double rval, ival;
int st;
if (mm_is_pattern(t)) {
st = fscanf(f, "%d %d\n", &row, &col);
rval = 1.0;
ival = 0.0;
}
else if (mm_is_real(t) || mm_is_integer(t)) {
st = fscanf(f, "%d %d %lg\n", &row, &col, &rval);
ival = 0.0;
}
else // Complex matrix
st = fscanf(f, "%d %d %lg %lg\n", &row, &col, &rval, &ival);
if(ferror(f) || (st == EOF)) {
fprintf(stderr, "Error: error %d reading Matrix Market file (entry %d)\n", st, i+1);
return -1;
}
// Switch to 0-based indexing
--row;
--col;
// Record entry
cooRowInd[j] = row;
cooColInd[j] = col;
if(cooRVal != NULL)
cooRVal[j] = rval;
if(cooIVal != NULL)
cooIVal[j] = ival;
++j;
// Add symmetric complement of non-diagonal entries
if(tg && !mm_is_general(t) && (row!=col)) {
// Modify entry value if matrix is skew symmetric or Hermitian
if(mm_is_skew(t)) {
rval = -rval;
ival = -ival;
}
else if(mm_is_hermitian(t)) {
ival = -ival;
}
// Record entry
cooRowInd[j] = col;
cooColInd[j] = row;
if(cooRVal != NULL)
cooRVal[j] = rval;
if(cooIVal != NULL)
cooIVal[j] = ival;
++j;
}
}
return 0;
}
/// Compare two tuples based on the element indexed by i
class lesser_tuple {
const int i;
public:
lesser_tuple(int _i) : i(_i) {}
template<typename Tuple1, typename Tuple2>
__host__ __device__
bool operator()(const Tuple1 t1, const Tuple2 t2) {
switch(i) {
case 0:
return (thrust::get<0>(t1) == thrust::get<0>(t2) ? thrust::get<1>(t1) < thrust::get<1>(t2) : thrust::get<0>(t1) < thrust::get<0>(t2));
case 1:
return (thrust::get<1>(t1) == thrust::get<1>(t2) ? thrust::get<0>(t1) < thrust::get<0>(t2) : thrust::get<1>(t1) < thrust::get<1>(t2));
default:
return (thrust::get<0>(t1) == thrust::get<0>(t2) ? thrust::get<1>(t1) < thrust::get<1>(t2) : thrust::get<0>(t1) < thrust::get<0>(t2));
}
}
};
/// Sort entries in COO format matrix
/** Sort is stable.
*
* @param nnz Number of non-zero matrix entries.
* @param sort_by_row Boolean indicating whether matrix entries
* will be sorted by row index or by column index.
* @param cooRowInd Row indices for COO matrix.
* @param cooColInd Column indices for COO matrix.
* @param cooRVal Real component for COO matrix entries. Ignored if
* null pointer.
* @param cooIVal Imaginary component COO matrix entries. Ignored if
* null pointer.
*/
template <typename IndexType_, typename ValueType_>
void coo_sort(IndexType_ nnz, int sort_by_row,
IndexType_ * cooRowInd,
IndexType_ * cooColInd,
ValueType_ * cooRVal,
ValueType_ * cooIVal) {
// Determine whether to sort by row or by column
int i;
if(sort_by_row == 0)
i = 1;
else
i = 0;
// Apply stable sort
using namespace thrust;
if((cooRVal==NULL) && (cooIVal==NULL))
stable_sort(make_zip_iterator(make_tuple(cooRowInd,cooColInd)),
make_zip_iterator(make_tuple(cooRowInd+nnz,cooColInd+nnz)),
lesser_tuple(i));
else if((cooRVal==NULL) && (cooIVal!=NULL))
stable_sort(make_zip_iterator(make_tuple(cooRowInd,cooColInd,cooIVal)),
make_zip_iterator(make_tuple(cooRowInd+nnz,cooColInd+nnz,cooIVal+nnz)),
lesser_tuple(i));
else if((cooRVal!=NULL) && (cooIVal==NULL))
stable_sort(make_zip_iterator(make_tuple(cooRowInd,cooColInd,cooRVal)),
make_zip_iterator(make_tuple(cooRowInd+nnz,cooColInd+nnz,cooRVal+nnz)),
lesser_tuple(i));
else
stable_sort(make_zip_iterator(make_tuple(cooRowInd,cooColInd,cooRVal,cooIVal)),
make_zip_iterator(make_tuple(cooRowInd+nnz,cooColInd+nnz,
cooRVal+nnz,cooIVal+nnz)),
lesser_tuple(i));
}
template <typename IndexT>
void coo2csr(std::vector<IndexT>& cooRowInd, //in: I[] (overwrite)
const std::vector<IndexT>& cooColInd, //in: J[]
std::vector<IndexT>& csrRowPtr, //out
std::vector<IndexT>& csrColInd) //out
{
std::vector<std::pair<IndexT,IndexT> > items;
for (auto i = size_t{0}; i < cooRowInd.size(); ++i)
items.push_back(std::make_pair( cooRowInd[i], cooColInd[i]));
//sort pairs
std::sort(items.begin(), items.end(),[](const std::pair<IndexT,IndexT> &left, const std::pair<IndexT,IndexT> &right)
{return left.first < right.first; });
for (auto i = size_t{0}; i < cooRowInd.size(); ++i) {
cooRowInd[i]=items[i].first; // save the sorted rows to compress them later
csrColInd[i]=items[i].second; // save the col idx, not sure if they are sorted for each row
}
// Count number of elements per row
for(auto i=size_t{0}; i<cooRowInd.size(); ++i)
++(csrRowPtr[cooRowInd[i]+1]);
// Compute cumulative sum to obtain row offsets/pointers
for(auto i=size_t{0}; i<csrRowPtr.size()-1; ++i)
csrRowPtr[i+1] += csrRowPtr[i];
}
/// Compress sorted list of indices
/** For use in converting COO format matrix to CSR or CSC format.
*
* @param n Maximum index.
* @param nnz Number of non-zero matrix entries.
* @param sortedIndices Sorted list of indices (COO format).
* @param compressedIndices (Output) Compressed list of indices (CSR
* or CSC format). Should have at least n+1 entries.
*/
template <typename IndexType_>
void coo_compress(IndexType_ m, IndexType_ n, IndexType_ nnz,
const IndexType_ * __restrict__ sortedIndices,
IndexType_ * __restrict__ compressedIndices) {
IndexType_ i;
// Initialize everything to zero
memset(compressedIndices, 0, (m+1)*sizeof(IndexType_));
// Count number of elements per row
for(i=0; i<nnz; ++i)
++(compressedIndices[sortedIndices[i]+1]);
// Compute cumulative sum to obtain row offsets/pointers
for(i=0; i<m; ++i)
compressedIndices[i+1] += compressedIndices[i];
}
/// Convert COO format matrix to CSR format
/** On output, matrix entries in COO format matrix will be sorted
* (primarily by row index, secondarily by column index).
*
* @param m Number of matrix rows.
* @param n Number of matrix columns.
* @param nnz Number of non-zero matrix entries.
* @param cooRowInd Row indices for COO matrix.
* @param cooColInd Column indices for COO matrix.
* @param cooRVal Real component of COO matrix entries. Ignored if
* null pointer.
* @param cooIVal Imaginary component of COO matrix entries. Ignored
* if null pointer.
* @param csrRowPtr Row pointers for CSR matrix. Should have at least
* n+1 entries.
* @param csrColInd Column indices for CSR matrix (identical to
* output of cooColInd). Should have at least nnz entries. Ignored if
* null pointer.
* @param csrRVal Real component of CSR matrix entries (identical to
* output of cooRVal). Should have at least nnz entries. Ignored if
* null pointer.
* @param csrIVal Imaginary component of CSR matrix entries
* (identical to output of cooIVal). Should have at least nnz
* entries. Ignored if null pointer.
* @return Zero if matrix was converted successfully. Otherwise
* non-zero.
*/
template <typename IndexType_, typename ValueType_>
int coo_to_csr(IndexType_ m, IndexType_ n, IndexType_ nnz,
IndexType_ * __restrict__ cooRowInd,
IndexType_ * __restrict__ cooColInd,
ValueType_ * __restrict__ cooRVal,
ValueType_ * __restrict__ cooIVal,
IndexType_ * __restrict__ csrRowPtr,
IndexType_ * __restrict__ csrColInd,
ValueType_ * __restrict__ csrRVal,
ValueType_ * __restrict__ csrIVal) {
// Convert COO to CSR matrix
coo_sort(nnz, 0, cooRowInd, cooColInd, cooRVal, cooIVal);
coo_sort(nnz, 1, cooRowInd, cooColInd, cooRVal, cooIVal);
//coo_sort2<int,float>(m, nnz, cooRowInd, cooColInd);
coo_compress(m, n, nnz, cooRowInd, csrRowPtr);
// Copy arrays
if(csrColInd!=NULL)
memcpy(csrColInd, cooColInd, nnz*sizeof(IndexType_));
if((cooRVal!=NULL) && (csrRVal!=NULL))
memcpy(csrRVal, cooRVal, nnz*sizeof(ValueType_));
if((cooIVal!=NULL) && (csrIVal!=NULL))
memcpy(csrIVal, cooIVal, nnz*sizeof(ValueType_));
return 0;
}
int read_binary_vector ( FILE* fpin,
int n,
std::vector<float>& val
)
{
size_t is_read1;
double* t_storage = new double[n];
is_read1 = fread(t_storage, sizeof(double), n, fpin);
for (int i = 0; i < n; i++)
{
if (t_storage[i] == DBL_MAX)
val[i] = FLT_MAX;
else if (t_storage[i] == -DBL_MAX)
val[i] = -FLT_MAX;
else
val[i] = static_cast<float>(t_storage[i]);
}
delete[] t_storage;
if (is_read1 != (size_t)n)
{
printf("%s", "I/O fail\n");
return 1;
}
return 0;
}
int read_binary_vector ( FILE* fpin,
int n,
std::vector<double>& val
)
{
size_t is_read1;
is_read1 = fread(&val[0], sizeof(double), n, fpin);
if (is_read1 != (size_t)n)
{
printf("%s", "I/O fail\n");
return 1;
}
return 0;
}
// Creates a gdf_column from a std::vector
template <typename col_type>
gdf_column_ptr create_gdf_column(std::vector<col_type> const & host_vector)
{
// Create a new instance of a gdf_column with a custom deleter that will free
// the associated device memory when it eventually goes out of scope
gdf_column_ptr the_column{new gdf_column, gdf_col_deleter};
// Allocate device storage for gdf_column and copy contents from host_vector
const size_t input_size_bytes = host_vector.size() * sizeof(col_type);
cudaStream_t stream{nullptr};
ALLOC_TRY((void**)&(the_column->data), input_size_bytes, stream);
cudaMemcpy(the_column->data, host_vector.data(), input_size_bytes, cudaMemcpyHostToDevice);
// Deduce the type and set the gdf_dtype accordingly
gdf_dtype gdf_col_type;
if(std::is_same<col_type,int8_t>::value) gdf_col_type = GDF_INT8;
else if(std::is_same<col_type,uint8_t>::value) gdf_col_type = GDF_INT8;
else if(std::is_same<col_type,int16_t>::value) gdf_col_type = GDF_INT16;
else if(std::is_same<col_type,uint16_t>::value) gdf_col_type = GDF_INT16;
else if(std::is_same<col_type,int32_t>::value) gdf_col_type = GDF_INT32;
else if(std::is_same<col_type,uint32_t>::value) gdf_col_type = GDF_INT32;
else if(std::is_same<col_type,int64_t>::value) gdf_col_type = GDF_INT64;
else if(std::is_same<col_type,uint64_t>::value) gdf_col_type = GDF_INT64;
else if(std::is_same<col_type,float>::value) gdf_col_type = GDF_FLOAT32;
else if(std::is_same<col_type,double>::value) gdf_col_type = GDF_FLOAT64;
// Fill the gdf_column members
the_column->valid = nullptr;
the_column->null_count = 0;
the_column->size = host_vector.size();
the_column->dtype = gdf_col_type;
gdf_dtype_extra_info extra_info;
extra_info.time_unit = TIME_UNIT_NONE;
the_column->dtype_info = extra_info;
return the_column;
}
// Creates a gdf_column from a std::vector
template <typename col_type>
void create_gdf_column(std::vector<col_type> const & host_vector, gdf_column * the_column)
{
// Allocate device storage for gdf_column and copy contents from host_vector
const size_t input_size_bytes = host_vector.size() * sizeof(col_type);
cudaStream_t stream{nullptr};
ALLOC_TRY((void**)&(the_column->data), input_size_bytes, stream);
cudaMemcpy(the_column->data, host_vector.data(), input_size_bytes, cudaMemcpyHostToDevice);
// Deduce the type and set the gdf_dtype accordingly
gdf_dtype gdf_col_type;
if(std::is_same<col_type,int8_t>::value) gdf_col_type = GDF_INT8;
else if(std::is_same<col_type,uint8_t>::value) gdf_col_type = GDF_INT8;
else if(std::is_same<col_type,int16_t>::value) gdf_col_type = GDF_INT16;
else if(std::is_same<col_type,uint16_t>::value) gdf_col_type = GDF_INT16;
else if(std::is_same<col_type,int32_t>::value) gdf_col_type = GDF_INT32;
else if(std::is_same<col_type,uint32_t>::value) gdf_col_type = GDF_INT32;
else if(std::is_same<col_type,int64_t>::value) gdf_col_type = GDF_INT64;
else if(std::is_same<col_type,uint64_t>::value) gdf_col_type = GDF_INT64;
else if(std::is_same<col_type,float>::value) gdf_col_type = GDF_FLOAT32;
else if(std::is_same<col_type,double>::value) gdf_col_type = GDF_FLOAT64;
// Fill the gdf_column members
the_column->valid = nullptr;
the_column->null_count = 0;
the_column->size = host_vector.size();
the_column->dtype = gdf_col_type;
gdf_dtype_extra_info extra_info;
extra_info.time_unit = TIME_UNIT_NONE;
the_column->dtype_info = extra_info;
}
void gdf_col_delete(gdf_column* col) {
if (col)
{
col->size = 0;
cudaStream_t stream{nullptr};
if(col->data)
ALLOC_FREE_TRY(col->data, stream);
#if 1
// If delete col is executed, the memory pointed by col is no longer valid and
// can be used in another memory allocation, so executing col->data = nullptr
// after delete col is dangerous, also, col = nullptr has no effect here (the
// address is passed by value, for col = nullptr should work, the input
// parameter should be gdf_column*& col (or alternatively, gdf_column** col and
// *col = nullptr also work)
col->data = nullptr;
delete col;
#else
delete col;
col->data = nullptr;
col = nullptr;
#endif
}
}
template <typename col_type>
bool gdf_column_equal(gdf_column* a, gdf_column* b) {
if (a == nullptr || b == nullptr){
std::cout << "A given column is null!\n";
return false;
}
if (a->dtype != b->dtype){
std::cout << "Mismatched dtypes\n";
return false;
}
if (a->size != b->size){
std::cout << "Mismatched sizes: a=" << a->size << " b=" << b->size << "\n";
return false;
}
std::vector<col_type>a_h(a->size);
std::vector<col_type>b_h(b->size);
cudaMemcpy(&a_h[0], a->data, sizeof(col_type) * a->size, cudaMemcpyDefault);
cudaMemcpy(&b_h[0], b->data, sizeof(col_type) * b->size, cudaMemcpyDefault);
for (size_t i = 0; i < a_h.size(); i++) {
if (a_h[i] != b_h[i]){
std::cout << "Elements at " << i << " differ: a=" << a_h[i] << " b=" << b_h[i] << "\n";
return false;
}
}
return true;
}
template<typename idx_t>
bool gdf_csr_equal(gdf_column* a_off, gdf_column* a_ind, gdf_column* b_off, gdf_column* b_ind) {
if (a_off == nullptr || a_ind == nullptr || b_off == nullptr || b_ind == nullptr) {
std::cout << "A given column is null!\n";
return false;
}
auto type = a_off->dtype;
if (a_ind->dtype != type || b_off->dtype != type || b_ind->dtype != type) {
std::cout << "Mismatched dtypes\n";
return false;
}
if (!gdf_column_equal<idx_t>(a_off, b_off)) {
std::cout << "Offsets arrays do not match!\n";
return false;
}
if (a_ind->size != b_ind->size) {
std::cout << "Size of indices arrays do not match\n";
return false;
}
// Compare the elements of each section of the indices, regardless of order
std::vector<idx_t> a_off_h(a_off->size);
std::vector<idx_t> a_ind_h(a_ind->size);
std::vector<idx_t> b_ind_h(b_ind->size);
cudaMemcpy(&a_off_h[0], a_off->data, a_off->size * sizeof(idx_t), cudaMemcpyDefault);
cudaMemcpy(&a_ind_h[0], a_ind->data, a_ind->size * sizeof(idx_t), cudaMemcpyDefault);
cudaMemcpy(&b_ind_h[0], b_ind->data, b_ind->size * sizeof(idx_t), cudaMemcpyDefault);
auto numVerts = a_off_h.size() - 1;
for (size_t vert = 0; vert < numVerts; vert++){
auto start = a_off_h[vert];
auto end = a_off_h[vert + 1];
std::set<idx_t> a_set;
std::set<idx_t> b_set;
for (int i = start; i < end; i++){
a_set.insert(a_ind_h[i]);
b_set.insert(b_ind_h[i]);
}
if (a_set.size() != b_set.size()) {
std::cout << "Vertex " << vert << " set sizes do not match!\n";
std::cout << "A Set: {";
for (auto it = a_set.begin(); it != a_set.end(); it++)
std::cout << " " << *it;
std::cout << "}\nB Set: {";
for (auto it = b_set.begin(); it != b_set.end(); it++)
std::cout << " " << *it;
std::cout << "}\n";
std::cout << "A list: {";
for (int i = start; i < end; i++) {
std::cout << " " << a_ind_h[i];
}
std::cout << "}\nB List: {";
for (int i = start; i < end; i++) {
std::cout << " " << b_ind_h[i];
}
std::cout << "}\n";
return false;
}
for (auto it = a_set.begin(); it != a_set.end(); it++) {
if (b_set.count(*it) != 1) {
std::cout << "A set contains " << *it << " B set does not!\n";
return false;
}
}
}
return true;
}
////////////////////////////////////////////////////////////////////////////////
// TODO: move this code to rapids-core
////////////////////////////////////////////////////////////////////////////////
// Define RAPIDS_DATASET_ROOT_DIR using a preprocessor variable to
// allow for a build to override the default. This is useful for
// having different builds for specific default dataset locations.
#ifndef RAPIDS_DATASET_ROOT_DIR
#define RAPIDS_DATASET_ROOT_DIR "/datasets"
#endif
static const std::string& get_rapids_dataset_root_dir() {
static std::string rdrd("");
// Env var always overrides the value of RAPIDS_DATASET_ROOT_DIR
if (rdrd == "") {
const char* envVar = std::getenv("RAPIDS_DATASET_ROOT_DIR");
rdrd = (envVar != NULL) ? envVar : RAPIDS_DATASET_ROOT_DIR;
}
return rdrd;
}
|
yescrypt-simd.c | /*-
* Copyright 2009 Colin Percival
* Copyright 2012-2014 Alexander Peslyak
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions 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.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR 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 AUTHOR 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.
*
* This file was originally written by Colin Percival as part of the Tarsnap
* online backup system.
*/
/*
* On 64-bit, enabling SSE4.1 helps our pwxform code indirectly, via avoiding
* gcc bug 54349 (fixed for gcc 4.9+). On 32-bit, it's of direct help. AVX
* and XOP are of further help either way.
*/
/*
#ifndef __SSE4_1__
#warning "Consider enabling SSE4.1, AVX, or XOP in the C compiler for significantly better performance"
#endif
*/
#include <emmintrin.h>
#ifdef __XOP__
#include <x86intrin.h>
#endif
#include <errno.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include "sha256_Y.h"
#include "sysendian.h"
#include "yescrypt.h"
#include "yescrypt-platform.h"
#include "compat.h"
#if __STDC_VERSION__ >= 199901L
/* have restrict */
#elif defined(__GNUC__)
#define restrict __restrict
#else
#define restrict
#endif
#define PREFETCH(x, hint) _mm_prefetch((const char *)(x), (hint));
#define PREFETCH_OUT(x, hint) /* disabled */
#ifdef __XOP__
#define ARX(out, in1, in2, s) \
out = _mm_xor_si128(out, _mm_roti_epi32(_mm_add_epi32(in1, in2), s));
#else
#define ARX(out, in1, in2, s) \
{ \
__m128i T = _mm_add_epi32(in1, in2); \
out = _mm_xor_si128(out, _mm_slli_epi32(T, s)); \
out = _mm_xor_si128(out, _mm_srli_epi32(T, 32-s)); \
}
#endif
#define SALSA20_2ROUNDS \
/* Operate on "columns" */ \
ARX(X1, X0, X3, 7) \
ARX(X2, X1, X0, 9) \
ARX(X3, X2, X1, 13) \
ARX(X0, X3, X2, 18) \
\
/* Rearrange data */ \
X1 = _mm_shuffle_epi32(X1, 0x93); \
X2 = _mm_shuffle_epi32(X2, 0x4E); \
X3 = _mm_shuffle_epi32(X3, 0x39); \
\
/* Operate on "rows" */ \
ARX(X3, X0, X1, 7) \
ARX(X2, X3, X0, 9) \
ARX(X1, X2, X3, 13) \
ARX(X0, X1, X2, 18) \
\
/* Rearrange data */ \
X1 = _mm_shuffle_epi32(X1, 0x39); \
X2 = _mm_shuffle_epi32(X2, 0x4E); \
X3 = _mm_shuffle_epi32(X3, 0x93);
/**
* Apply the salsa20/8 core to the block provided in (X0 ... X3).
*/
#define SALSA20_8_BASE(maybe_decl, out) \
{ \
maybe_decl Y0 = X0; \
maybe_decl Y1 = X1; \
maybe_decl Y2 = X2; \
maybe_decl Y3 = X3; \
SALSA20_2ROUNDS \
SALSA20_2ROUNDS \
SALSA20_2ROUNDS \
SALSA20_2ROUNDS \
(out)[0] = X0 = _mm_add_epi32(X0, Y0); \
(out)[1] = X1 = _mm_add_epi32(X1, Y1); \
(out)[2] = X2 = _mm_add_epi32(X2, Y2); \
(out)[3] = X3 = _mm_add_epi32(X3, Y3); \
}
#define SALSA20_8(out) \
SALSA20_8_BASE(__m128i, out)
/**
* Apply the salsa20/8 core to the block provided in (X0 ... X3) ^ (Z0 ... Z3).
*/
#define SALSA20_8_XOR_ANY(maybe_decl, Z0, Z1, Z2, Z3, out) \
X0 = _mm_xor_si128(X0, Z0); \
X1 = _mm_xor_si128(X1, Z1); \
X2 = _mm_xor_si128(X2, Z2); \
X3 = _mm_xor_si128(X3, Z3); \
SALSA20_8_BASE(maybe_decl, out)
#define SALSA20_8_XOR_MEM(in, out) \
SALSA20_8_XOR_ANY(__m128i, (in)[0], (in)[1], (in)[2], (in)[3], out)
#define SALSA20_8_XOR_REG(out) \
SALSA20_8_XOR_ANY(/* empty */, Y0, Y1, Y2, Y3, out)
typedef union {
uint32_t w[16];
__m128i q[4];
} salsa20_blk_t;
/**
* blockmix_salsa8(Bin, Bout, r):
* Compute Bout = BlockMix_{salsa20/8, r}(Bin). The input Bin must be 128r
* bytes in length; the output Bout must also be the same size.
*/
static inline void
blockmix_salsa8(const salsa20_blk_t *restrict Bin,
salsa20_blk_t *restrict Bout, size_t r)
{
__m128i X0, X1, X2, X3;
size_t i;
r--;
PREFETCH(&Bin[r * 2 + 1], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin[i * 2], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
PREFETCH(&Bin[i * 2 + 1], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r + 1 + i], _MM_HINT_T0)
}
PREFETCH(&Bin[r * 2], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r * 2 + 1], _MM_HINT_T0)
/* 1: X <-- B_{2r - 1} */
X0 = Bin[r * 2 + 1].q[0];
X1 = Bin[r * 2 + 1].q[1];
X2 = Bin[r * 2 + 1].q[2];
X3 = Bin[r * 2 + 1].q[3];
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
SALSA20_8_XOR_MEM(Bin[0].q, Bout[0].q)
/* 2: for i = 0 to 2r - 1 do */
for (i = 0; i < r;) {
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
SALSA20_8_XOR_MEM(Bin[i * 2 + 1].q, Bout[r + 1 + i].q)
i++;
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
SALSA20_8_XOR_MEM(Bin[i * 2].q, Bout[i].q)
}
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
SALSA20_8_XOR_MEM(Bin[r * 2 + 1].q, Bout[r * 2 + 1].q)
}
/*
* (V)PSRLDQ and (V)PSHUFD have higher throughput than (V)PSRLQ on some CPUs
* starting with Sandy Bridge. Additionally, PSHUFD uses separate source and
* destination registers, whereas the shifts would require an extra move
* instruction for our code when building without AVX. Unfortunately, PSHUFD
* is much slower on Conroe (4 cycles latency vs. 1 cycle latency for PSRLQ)
* and somewhat slower on some non-Intel CPUs (luckily not including AMD
* Bulldozer and Piledriver). Since for many other CPUs using (V)PSHUFD is a
* win in terms of throughput or/and not needing a move instruction, we
* currently use it despite of the higher latency on some older CPUs. As an
* alternative, the #if below may be patched to only enable use of (V)PSHUFD
* when building with SSE4.1 or newer, which is not available on older CPUs
* where this instruction has higher latency.
*/
#if 1
#define HI32(X) \
_mm_shuffle_epi32((X), _MM_SHUFFLE(2,3,0,1))
#elif 0
#define HI32(X) \
_mm_srli_si128((X), 4)
#else
#define HI32(X) \
_mm_srli_epi64((X), 32)
#endif
#if defined(__x86_64__) && (defined(__ICC) || defined(__llvm__))
/* Intel's name, also supported by recent gcc */
#define EXTRACT64(X) _mm_cvtsi128_si64(X)
#elif defined(__x86_64__) && !defined(_MSC_VER) && !defined(__OPEN64__)
/* gcc got the 'x' name earlier than non-'x', MSVC and Open64 had bugs */
#define EXTRACT64(X) _mm_cvtsi128_si64x(X)
#elif defined(__x86_64__) && defined(__SSE4_1__)
/* No known bugs for this intrinsic */
#include <smmintrin.h>
#define EXTRACT64(X) _mm_extract_epi64((X), 0)
#elif defined(__SSE4_1__)
/* 32-bit */
#include <smmintrin.h>
#if 0
/* This is currently unused by the code below, which instead uses these two
* intrinsics explicitly when (!defined(__x86_64__) && defined(__SSE4_1__)) */
#define EXTRACT64(X) \
((uint64_t)(uint32_t)_mm_cvtsi128_si32(X) | \
((uint64_t)(uint32_t)_mm_extract_epi32((X), 1) << 32))
#endif
#else
/* 32-bit or compilers with known past bugs in _mm_cvtsi128_si64*() */
#define EXTRACT64(X) \
((uint64_t)(uint32_t)_mm_cvtsi128_si32(X) | \
((uint64_t)(uint32_t)_mm_cvtsi128_si32(HI32(X)) << 32))
#endif
/* This is tunable */
#define S_BITS 8
/* Not tunable in this implementation, hard-coded in a few places */
#define S_SIMD 2
#define S_P 4
/* Number of S-boxes. Not tunable by design, hard-coded in a few places. */
#define S_N 2
/* Derived values. Not tunable except via S_BITS above. */
#define S_SIZE1 (1 << S_BITS)
#define S_MASK ((S_SIZE1 - 1) * S_SIMD * 8)
#define S_MASK2 (((uint64_t)S_MASK << 32) | S_MASK)
#define S_SIZE_ALL (S_N * S_SIZE1 * S_SIMD * 8)
#if !defined(__x86_64__) && defined(__SSE4_1__)
/* 32-bit with SSE4.1 */
#define PWXFORM_X_T __m128i
#define PWXFORM_SIMD(X, x, s0, s1) \
x = _mm_and_si128(X, _mm_set1_epi64x(S_MASK2)); \
s0 = *(const __m128i *)(S0 + (uint32_t)_mm_cvtsi128_si32(x)); \
s1 = *(const __m128i *)(S1 + (uint32_t)_mm_extract_epi32(x, 1)); \
X = _mm_mul_epu32(HI32(X), X); \
X = _mm_add_epi64(X, s0); \
X = _mm_xor_si128(X, s1);
#else
/* 64-bit, or 32-bit without SSE4.1 */
#define PWXFORM_X_T uint64_t
#define PWXFORM_SIMD(X, x, s0, s1) \
x = EXTRACT64(X) & S_MASK2; \
s0 = *(const __m128i *)(S0 + (uint32_t)x); \
s1 = *(const __m128i *)(S1 + (x >> 32)); \
X = _mm_mul_epu32(HI32(X), X); \
X = _mm_add_epi64(X, s0); \
X = _mm_xor_si128(X, s1);
#endif
#define PWXFORM_ROUND \
PWXFORM_SIMD(X0, x0, s00, s01) \
PWXFORM_SIMD(X1, x1, s10, s11) \
PWXFORM_SIMD(X2, x2, s20, s21) \
PWXFORM_SIMD(X3, x3, s30, s31)
#define PWXFORM \
{ \
PWXFORM_X_T x0, x1, x2, x3; \
__m128i s00, s01, s10, s11, s20, s21, s30, s31; \
PWXFORM_ROUND PWXFORM_ROUND \
PWXFORM_ROUND PWXFORM_ROUND \
PWXFORM_ROUND PWXFORM_ROUND \
}
#define XOR4(in) \
X0 = _mm_xor_si128(X0, (in)[0]); \
X1 = _mm_xor_si128(X1, (in)[1]); \
X2 = _mm_xor_si128(X2, (in)[2]); \
X3 = _mm_xor_si128(X3, (in)[3]);
#define XOUT(out) \
(out)[0] = X0; \
(out)[1] = X1; \
(out)[2] = X2; \
(out)[3] = X3;
/**
* blockmix_pwxform(Bin, Bout, r, S):
* Compute Bout = BlockMix_pwxform{salsa20/8, r, S}(Bin). The input Bin must
* be 128r bytes in length; the output Bout must also be the same size.
*/
static void
blockmix(const salsa20_blk_t *restrict Bin, salsa20_blk_t *restrict Bout,
size_t r, const __m128i *restrict S)
{
const uint8_t * S0, * S1;
__m128i X0, X1, X2, X3;
size_t i;
if (!S) {
blockmix_salsa8(Bin, Bout, r);
return;
}
S0 = (const uint8_t *)S;
S1 = (const uint8_t *)S + S_SIZE_ALL / 2;
/* Convert 128-byte blocks to 64-byte blocks */
r *= 2;
r--;
PREFETCH(&Bin[r], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin[i], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
}
PREFETCH_OUT(&Bout[r], _MM_HINT_T0)
/* X <-- B_{r1 - 1} */
X0 = Bin[r].q[0];
X1 = Bin[r].q[1];
X2 = Bin[r].q[2];
X3 = Bin[r].q[3];
/* for i = 0 to r1 - 1 do */
for (i = 0; i < r; i++) {
/* X <-- H'(X \xor B_i) */
XOR4(Bin[i].q)
PWXFORM
/* B'_i <-- X */
XOUT(Bout[i].q)
}
/* Last iteration of the loop above */
XOR4(Bin[i].q)
PWXFORM
/* B'_i <-- H(B'_i) */
SALSA20_8(Bout[i].q)
}
#define XOR4_2(in1, in2) \
X0 = _mm_xor_si128((in1)[0], (in2)[0]); \
X1 = _mm_xor_si128((in1)[1], (in2)[1]); \
X2 = _mm_xor_si128((in1)[2], (in2)[2]); \
X3 = _mm_xor_si128((in1)[3], (in2)[3]);
static inline uint32_t
blockmix_salsa8_xor(const salsa20_blk_t *restrict Bin1,
const salsa20_blk_t *restrict Bin2, salsa20_blk_t *restrict Bout,
size_t r, int Bin2_in_ROM)
{
__m128i X0, X1, X2, X3;
size_t i;
r--;
if (Bin2_in_ROM) {
PREFETCH(&Bin2[r * 2 + 1], _MM_HINT_NTA)
PREFETCH(&Bin1[r * 2 + 1], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin2[i * 2], _MM_HINT_NTA)
PREFETCH(&Bin1[i * 2], _MM_HINT_T0)
PREFETCH(&Bin2[i * 2 + 1], _MM_HINT_NTA)
PREFETCH(&Bin1[i * 2 + 1], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r + 1 + i], _MM_HINT_T0)
}
PREFETCH(&Bin2[r * 2], _MM_HINT_T0)
} else {
PREFETCH(&Bin2[r * 2 + 1], _MM_HINT_T0)
PREFETCH(&Bin1[r * 2 + 1], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin2[i * 2], _MM_HINT_T0)
PREFETCH(&Bin1[i * 2], _MM_HINT_T0)
PREFETCH(&Bin2[i * 2 + 1], _MM_HINT_T0)
PREFETCH(&Bin1[i * 2 + 1], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r + 1 + i], _MM_HINT_T0)
}
PREFETCH(&Bin2[r * 2], _MM_HINT_T0)
}
PREFETCH(&Bin1[r * 2], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r * 2 + 1], _MM_HINT_T0)
/* 1: X <-- B_{2r - 1} */
XOR4_2(Bin1[r * 2 + 1].q, Bin2[r * 2 + 1].q)
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[0].q)
SALSA20_8_XOR_MEM(Bin2[0].q, Bout[0].q)
/* 2: for i = 0 to 2r - 1 do */
for (i = 0; i < r;) {
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[i * 2 + 1].q)
SALSA20_8_XOR_MEM(Bin2[i * 2 + 1].q, Bout[r + 1 + i].q)
i++;
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[i * 2].q)
SALSA20_8_XOR_MEM(Bin2[i * 2].q, Bout[i].q)
}
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[r * 2 + 1].q)
SALSA20_8_XOR_MEM(Bin2[r * 2 + 1].q, Bout[r * 2 + 1].q)
return _mm_cvtsi128_si32(X0);
}
static uint32_t
blockmix_xor(const salsa20_blk_t *restrict Bin1,
const salsa20_blk_t *restrict Bin2, salsa20_blk_t *restrict Bout,
size_t r, int Bin2_in_ROM, const __m128i *restrict S)
{
const uint8_t * S0, * S1;
__m128i X0, X1, X2, X3;
size_t i;
if (!S)
return blockmix_salsa8_xor(Bin1, Bin2, Bout, r, Bin2_in_ROM);
S0 = (const uint8_t *)S;
S1 = (const uint8_t *)S + S_SIZE_ALL / 2;
/* Convert 128-byte blocks to 64-byte blocks */
r *= 2;
r--;
if (Bin2_in_ROM) {
PREFETCH(&Bin2[r], _MM_HINT_NTA)
PREFETCH(&Bin1[r], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin2[i], _MM_HINT_NTA)
PREFETCH(&Bin1[i], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
}
} else {
PREFETCH(&Bin2[r], _MM_HINT_T0)
PREFETCH(&Bin1[r], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin2[i], _MM_HINT_T0)
PREFETCH(&Bin1[i], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
}
}
PREFETCH_OUT(&Bout[r], _MM_HINT_T0);
/* X <-- B_{r1 - 1} */
XOR4_2(Bin1[r].q, Bin2[r].q)
/* for i = 0 to r1 - 1 do */
for (i = 0; i < r; i++) {
/* X <-- H'(X \xor B_i) */
XOR4(Bin1[i].q)
XOR4(Bin2[i].q)
PWXFORM
/* B'_i <-- X */
XOUT(Bout[i].q)
}
/* Last iteration of the loop above */
XOR4(Bin1[i].q)
XOR4(Bin2[i].q)
PWXFORM
/* B'_i <-- H(B'_i) */
SALSA20_8(Bout[i].q)
return _mm_cvtsi128_si32(X0);
}
#undef XOR4
#define XOR4(in, out) \
(out)[0] = Y0 = _mm_xor_si128((in)[0], (out)[0]); \
(out)[1] = Y1 = _mm_xor_si128((in)[1], (out)[1]); \
(out)[2] = Y2 = _mm_xor_si128((in)[2], (out)[2]); \
(out)[3] = Y3 = _mm_xor_si128((in)[3], (out)[3]);
static inline uint32_t
blockmix_salsa8_xor_save(const salsa20_blk_t *restrict Bin1,
salsa20_blk_t *restrict Bin2, salsa20_blk_t *restrict Bout,
size_t r)
{
__m128i X0, X1, X2, X3, Y0, Y1, Y2, Y3;
size_t i;
r--;
PREFETCH(&Bin2[r * 2 + 1], _MM_HINT_T0)
PREFETCH(&Bin1[r * 2 + 1], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin2[i * 2], _MM_HINT_T0)
PREFETCH(&Bin1[i * 2], _MM_HINT_T0)
PREFETCH(&Bin2[i * 2 + 1], _MM_HINT_T0)
PREFETCH(&Bin1[i * 2 + 1], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r + 1 + i], _MM_HINT_T0)
}
PREFETCH(&Bin2[r * 2], _MM_HINT_T0)
PREFETCH(&Bin1[r * 2], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r], _MM_HINT_T0)
PREFETCH_OUT(&Bout[r * 2 + 1], _MM_HINT_T0)
/* 1: X <-- B_{2r - 1} */
XOR4_2(Bin1[r * 2 + 1].q, Bin2[r * 2 + 1].q)
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[0].q, Bin2[0].q)
SALSA20_8_XOR_REG(Bout[0].q)
/* 2: for i = 0 to 2r - 1 do */
for (i = 0; i < r;) {
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[i * 2 + 1].q, Bin2[i * 2 + 1].q)
SALSA20_8_XOR_REG(Bout[r + 1 + i].q)
i++;
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[i * 2].q, Bin2[i * 2].q)
SALSA20_8_XOR_REG(Bout[i].q)
}
/* 3: X <-- H(X \xor B_i) */
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
XOR4(Bin1[r * 2 + 1].q, Bin2[r * 2 + 1].q)
SALSA20_8_XOR_REG(Bout[r * 2 + 1].q)
return _mm_cvtsi128_si32(X0);
}
#define XOR4_Y \
X0 = _mm_xor_si128(X0, Y0); \
X1 = _mm_xor_si128(X1, Y1); \
X2 = _mm_xor_si128(X2, Y2); \
X3 = _mm_xor_si128(X3, Y3);
static uint32_t
blockmix_xor_save(const salsa20_blk_t *restrict Bin1,
salsa20_blk_t *restrict Bin2, salsa20_blk_t *restrict Bout,
size_t r, const __m128i *restrict S)
{
const uint8_t * S0, * S1;
__m128i X0, X1, X2, X3, Y0, Y1, Y2, Y3;
size_t i;
if (!S)
return blockmix_salsa8_xor_save(Bin1, Bin2, Bout, r);
S0 = (const uint8_t *)S;
S1 = (const uint8_t *)S + S_SIZE_ALL / 2;
/* Convert 128-byte blocks to 64-byte blocks */
r *= 2;
r--;
PREFETCH(&Bin2[r], _MM_HINT_T0)
PREFETCH(&Bin1[r], _MM_HINT_T0)
for (i = 0; i < r; i++) {
PREFETCH(&Bin2[i], _MM_HINT_T0)
PREFETCH(&Bin1[i], _MM_HINT_T0)
PREFETCH_OUT(&Bout[i], _MM_HINT_T0)
}
PREFETCH_OUT(&Bout[r], _MM_HINT_T0);
/* X <-- B_{r1 - 1} */
XOR4_2(Bin1[r].q, Bin2[r].q)
/* for i = 0 to r1 - 1 do */
for (i = 0; i < r; i++) {
XOR4(Bin1[i].q, Bin2[i].q)
/* X <-- H'(X \xor B_i) */
XOR4_Y
PWXFORM
/* B'_i <-- X */
XOUT(Bout[i].q)
}
/* Last iteration of the loop above */
XOR4(Bin1[i].q, Bin2[i].q)
XOR4_Y
PWXFORM
/* B'_i <-- H(B'_i) */
SALSA20_8(Bout[i].q)
return _mm_cvtsi128_si32(X0);
}
#undef ARX
#undef SALSA20_2ROUNDS
#undef SALSA20_8
#undef SALSA20_8_XOR_ANY
#undef SALSA20_8_XOR_MEM
#undef SALSA20_8_XOR_REG
#undef PWXFORM_SIMD_1
#undef PWXFORM_SIMD_2
#undef PWXFORM_ROUND
#undef PWXFORM
#undef OUT
#undef XOR4
#undef XOR4_2
#undef XOR4_Y
/**
* integerify(B, r):
* Return the result of parsing B_{2r-1} as a little-endian integer.
*/
static inline uint32_t
integerify(const salsa20_blk_t * B, size_t r)
{
return B[2 * r - 1].w[0];
}
/**
* smix1(B, r, N, flags, V, NROM, shared, XY, S):
* Compute first loop of B = SMix_r(B, N). The input B must be 128r bytes in
* length; the temporary storage V must be 128rN bytes in length; the temporary
* storage XY must be 128r bytes in length. The value N must be even and no
* smaller than 2. The array V must be aligned to a multiple of 64 bytes, and
* arrays B and XY to a multiple of at least 16 bytes (aligning them to 64
* bytes as well saves cache lines, but might result in cache bank conflicts).
*/
static void
smix1(uint8_t * B, size_t r, uint32_t N, yescrypt_flags_t flags,
salsa20_blk_t * V, uint32_t NROM, const yescrypt_shared_t * shared,
salsa20_blk_t * XY, void * S)
{
const salsa20_blk_t * VROM = shared->shared1.aligned;
uint32_t VROM_mask = shared->mask1;
size_t s = 2 * r;
salsa20_blk_t * X = V, * Y;
uint32_t i, j;
size_t k;
/* 1: X <-- B */
/* 3: V_i <-- X */
for (k = 0; k < 2 * r; k++) {
for (i = 0; i < 16; i++) {
X[k].w[i] = le32dec(&B[(k * 16 + (i * 5 % 16)) * 4]);
}
}
if (NROM && (VROM_mask & 1)) {
uint32_t n;
salsa20_blk_t * V_n;
const salsa20_blk_t * V_j;
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
Y = &V[s];
blockmix(X, Y, r, S);
X = &V[2 * s];
if ((1 & VROM_mask) == 1) {
/* j <-- Integerify(X) mod NROM */
j = integerify(Y, r) & (NROM - 1);
V_j = &VROM[j * s];
/* X <-- H(X \xor VROM_j) */
j = blockmix_xor(Y, V_j, X, r, 1, S);
} else {
/* X <-- H(X) */
blockmix(Y, X, r, S);
j = integerify(X, r);
}
for (n = 2; n < N; n <<= 1) {
uint32_t m = (n < N / 2) ? n : (N - 1 - n);
V_n = &V[n * s];
/* 2: for i = 0 to N - 1 do */
for (i = 1; i < m; i += 2) {
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += i - 1;
V_j = &V[j * s];
/* X <-- X \xor V_j */
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
Y = &V_n[i * s];
j = blockmix_xor(X, V_j, Y, r, 0, S);
if (((n + i) & VROM_mask) == 1) {
/* j <-- Integerify(X) mod NROM */
j &= NROM - 1;
V_j = &VROM[j * s];
} else {
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += i;
V_j = &V[j * s];
}
/* X <-- H(X \xor VROM_j) */
X = &V_n[(i + 1) * s];
j = blockmix_xor(Y, V_j, X, r, 1, S);
}
}
n >>= 1;
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += N - 2 - n;
V_j = &V[j * s];
/* X <-- X \xor V_j */
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
Y = &V[(N - 1) * s];
j = blockmix_xor(X, V_j, Y, r, 0, S);
if (((N - 1) & VROM_mask) == 1) {
/* j <-- Integerify(X) mod NROM */
j &= NROM - 1;
V_j = &VROM[j * s];
} else {
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += N - 1 - n;
V_j = &V[j * s];
}
/* X <-- X \xor V_j */
/* 4: X <-- H(X) */
X = XY;
blockmix_xor(Y, V_j, X, r, 1, S);
} else if (flags & YESCRYPT_RW) {
uint32_t n;
salsa20_blk_t * V_n, * V_j;
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
Y = &V[s];
blockmix(X, Y, r, S);
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
X = &V[2 * s];
blockmix(Y, X, r, S);
j = integerify(X, r);
for (n = 2; n < N; n <<= 1) {
uint32_t m = (n < N / 2) ? n : (N - 1 - n);
V_n = &V[n * s];
/* 2: for i = 0 to N - 1 do */
for (i = 1; i < m; i += 2) {
Y = &V_n[i * s];
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += i - 1;
V_j = &V[j * s];
/* X <-- X \xor V_j */
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
j = blockmix_xor(X, V_j, Y, r, 0, S);
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += i;
V_j = &V[j * s];
/* X <-- X \xor V_j */
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
X = &V_n[(i + 1) * s];
j = blockmix_xor(Y, V_j, X, r, 0, S);
}
}
n >>= 1;
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += N - 2 - n;
V_j = &V[j * s];
/* X <-- X \xor V_j */
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
Y = &V[(N - 1) * s];
j = blockmix_xor(X, V_j, Y, r, 0, S);
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += N - 1 - n;
V_j = &V[j * s];
/* X <-- X \xor V_j */
/* 4: X <-- H(X) */
X = XY;
blockmix_xor(Y, V_j, X, r, 0, S);
} else {
/* 2: for i = 0 to N - 1 do */
for (i = 1; i < N - 1; i += 2) {
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
Y = &V[i * s];
blockmix(X, Y, r, S);
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
X = &V[(i + 1) * s];
blockmix(Y, X, r, S);
}
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
Y = &V[i * s];
blockmix(X, Y, r, S);
/* 4: X <-- H(X) */
X = XY;
blockmix(Y, X, r, S);
}
/* B' <-- X */
for (k = 0; k < 2 * r; k++) {
for (i = 0; i < 16; i++) {
le32enc(&B[(k * 16 + (i * 5 % 16)) * 4], X[k].w[i]);
}
}
}
/**
* smix2(B, r, N, Nloop, flags, V, NROM, shared, XY, S):
* Compute second loop of B = SMix_r(B, N). The input B must be 128r bytes in
* length; the temporary storage V must be 128rN bytes in length; the temporary
* storage XY must be 256r bytes in length. The value N must be a power of 2
* greater than 1. The value Nloop must be even. The array V must be aligned
* to a multiple of 64 bytes, and arrays B and XY to a multiple of at least 16
* bytes (aligning them to 64 bytes as well saves cache lines, but might result
* in cache bank conflicts).
*/
static void
smix2(uint8_t * B, size_t r, uint32_t N, uint64_t Nloop,
yescrypt_flags_t flags, salsa20_blk_t * V, uint32_t NROM,
const yescrypt_shared_t * shared, salsa20_blk_t * XY, void * S)
{
const salsa20_blk_t * VROM = shared->shared1.aligned;
uint32_t VROM_mask = shared->mask1;
size_t s = 2 * r;
salsa20_blk_t * X = XY, * Y = &XY[s];
uint64_t i;
uint32_t j;
size_t k;
if (Nloop == 0)
return;
/* X <-- B' */
/* 3: V_i <-- X */
for (k = 0; k < 2 * r; k++) {
for (i = 0; i < 16; i++) {
X[k].w[i] = le32dec(&B[(k * 16 + (i * 5 % 16)) * 4]);
}
}
i = Nloop / 2;
/* 7: j <-- Integerify(X) mod N */
j = integerify(X, r) & (N - 1);
/*
* Normally, NROM implies YESCRYPT_RW, but we check for these separately
* because YESCRYPT_PARALLEL_SMIX resets YESCRYPT_RW for the smix2() calls
* operating on the entire V.
*/
if (NROM && (flags & YESCRYPT_RW)) {
/* 6: for i = 0 to N - 1 do */
for (i = 0; i < Nloop; i += 2) {
salsa20_blk_t * V_j = &V[j * s];
/* 8: X <-- H(X \xor V_j) */
/* V_j <-- Xprev \xor V_j */
/* j <-- Integerify(X) mod NROM */
j = blockmix_xor_save(X, V_j, Y, r, S);
if (((i + 1) & VROM_mask) == 1) {
const salsa20_blk_t * VROM_j;
j &= NROM - 1;
VROM_j = &VROM[j * s];
/* X <-- H(X \xor VROM_j) */
/* 7: j <-- Integerify(X) mod N */
j = blockmix_xor(Y, VROM_j, X, r, 1, S);
} else {
j &= N - 1;
V_j = &V[j * s];
/* 8: X <-- H(X \xor V_j) */
/* V_j <-- Xprev \xor V_j */
/* j <-- Integerify(X) mod NROM */
j = blockmix_xor_save(Y, V_j, X, r, S);
}
j &= N - 1;
V_j = &V[j * s];
}
} else if (NROM) {
/* 6: for i = 0 to N - 1 do */
for (i = 0; i < Nloop; i += 2) {
const salsa20_blk_t * V_j = &V[j * s];
/* 8: X <-- H(X \xor V_j) */
/* V_j <-- Xprev \xor V_j */
/* j <-- Integerify(X) mod NROM */
j = blockmix_xor(X, V_j, Y, r, 0, S);
if (((i + 1) & VROM_mask) == 1) {
j &= NROM - 1;
V_j = &VROM[j * s];
} else {
j &= N - 1;
V_j = &V[j * s];
}
/* X <-- H(X \xor VROM_j) */
/* 7: j <-- Integerify(X) mod N */
j = blockmix_xor(Y, V_j, X, r, 1, S);
j &= N - 1;
V_j = &V[j * s];
}
} else if (flags & YESCRYPT_RW) {
/* 6: for i = 0 to N - 1 do */
do {
salsa20_blk_t * V_j = &V[j * s];
/* 8: X <-- H(X \xor V_j) */
/* V_j <-- Xprev \xor V_j */
/* 7: j <-- Integerify(X) mod N */
j = blockmix_xor_save(X, V_j, Y, r, S);
j &= N - 1;
V_j = &V[j * s];
/* 8: X <-- H(X \xor V_j) */
/* V_j <-- Xprev \xor V_j */
/* 7: j <-- Integerify(X) mod N */
j = blockmix_xor_save(Y, V_j, X, r, S);
j &= N - 1;
} while (--i);
} else {
/* 6: for i = 0 to N - 1 do */
do {
const salsa20_blk_t * V_j = &V[j * s];
/* 8: X <-- H(X \xor V_j) */
/* 7: j <-- Integerify(X) mod N */
j = blockmix_xor(X, V_j, Y, r, 0, S);
j &= N - 1;
V_j = &V[j * s];
/* 8: X <-- H(X \xor V_j) */
/* 7: j <-- Integerify(X) mod N */
j = blockmix_xor(Y, V_j, X, r, 0, S);
j &= N - 1;
} while (--i);
}
/* 10: B' <-- X */
for (k = 0; k < 2 * r; k++) {
for (i = 0; i < 16; i++) {
le32enc(&B[(k * 16 + (i * 5 % 16)) * 4], X[k].w[i]);
}
}
}
/**
* p2floor(x):
* Largest power of 2 not greater than argument.
*/
static uint64_t
p2floor(uint64_t x)
{
uint64_t y;
while ((y = x & (x - 1)))
x = y;
return x;
}
/**
* smix(B, r, N, p, t, flags, V, NROM, shared, XY, S):
* Compute B = SMix_r(B, N). The input B must be 128rp bytes in length; the
* temporary storage V must be 128rN bytes in length; the temporary storage XY
* must be 256r or 256rp bytes in length (the larger size is required with
* OpenMP-enabled builds). The value N must be a power of 2 greater than 1.
* The array V must be aligned to a multiple of 64 bytes, and arrays B and
* XY to a multiple of at least 16 bytes (aligning them to 64 bytes as well
* saves cache lines and helps avoid false sharing in OpenMP-enabled builds
* when p > 1, but it might also result in cache bank conflicts).
*/
static void
smix(uint8_t * B, size_t r, uint32_t N, uint32_t p, uint32_t t,
yescrypt_flags_t flags,
salsa20_blk_t * V, uint32_t NROM, const yescrypt_shared_t * shared,
salsa20_blk_t * XY, void * S)
{
size_t s = 2 * r;
uint32_t Nchunk = N / p;
uint64_t Nloop_all, Nloop_rw;
uint32_t i;
Nloop_all = Nchunk;
if (flags & YESCRYPT_RW) {
if (t <= 1) {
if (t)
Nloop_all *= 2; /* 2/3 */
Nloop_all = (Nloop_all + 2) / 3; /* 1/3, round up */
} else {
Nloop_all *= t - 1;
}
} else if (t) {
if (t == 1)
Nloop_all += (Nloop_all + 1) / 2; /* 1.5, round up */
Nloop_all *= t;
}
Nloop_rw = 0;
if (flags & __YESCRYPT_INIT_SHARED)
Nloop_rw = Nloop_all;
else if (flags & YESCRYPT_RW)
Nloop_rw = Nloop_all / p;
Nchunk &= ~(uint32_t)1; /* round down to even */
Nloop_all++; Nloop_all &= ~(uint64_t)1; /* round up to even */
Nloop_rw &= ~(uint64_t)1; /* round down to even */
#ifdef _OPENMP
#pragma omp parallel if (p > 1) default(none) private(i) shared(B, r, N, p, flags, V, NROM, shared, XY, S, s, Nchunk, Nloop_all, Nloop_rw)
{
#pragma omp for
#endif
for (i = 0; i < p; i++) {
uint32_t Vchunk = i * Nchunk;
uint8_t * Bp = &B[128 * r * i];
salsa20_blk_t * Vp = &V[Vchunk * s];
#ifdef _OPENMP
salsa20_blk_t * XYp = &XY[i * (2 * s)];
#else
salsa20_blk_t * XYp = XY;
#endif
uint32_t Np = (i < p - 1) ? Nchunk : (N - Vchunk);
void * Sp = S ? ((uint8_t *)S + i * S_SIZE_ALL) : S;
if (Sp)
smix1(Bp, 1, S_SIZE_ALL / 128,
flags & ~YESCRYPT_PWXFORM,
Sp, NROM, shared, XYp, NULL);
if (!(flags & __YESCRYPT_INIT_SHARED_2))
smix1(Bp, r, Np, flags, Vp, NROM, shared, XYp, Sp);
smix2(Bp, r, p2floor(Np), Nloop_rw, flags, Vp,
NROM, shared, XYp, Sp);
}
if (Nloop_all > Nloop_rw) {
#ifdef _OPENMP
#pragma omp for
#endif
for (i = 0; i < p; i++) {
uint8_t * Bp = &B[128 * r * i];
#ifdef _OPENMP
salsa20_blk_t * XYp = &XY[i * (2 * s)];
#else
salsa20_blk_t * XYp = XY;
#endif
void * Sp = S ? ((uint8_t *)S + i * S_SIZE_ALL) : S;
smix2(Bp, r, N, Nloop_all - Nloop_rw,
flags & ~YESCRYPT_RW, V, NROM, shared, XYp, Sp);
}
}
#ifdef _OPENMP
}
#endif
}
/**
* yescrypt_kdf(shared, local, passwd, passwdlen, salt, saltlen,
* N, r, p, t, flags, buf, buflen):
* Compute scrypt(passwd[0 .. passwdlen - 1], salt[0 .. saltlen - 1], N, r,
* p, buflen), or a revision of scrypt as requested by flags and shared, and
* write the result into buf. The parameters r, p, and buflen must satisfy
* r * p < 2^30 and buflen <= (2^32 - 1) * 32. The parameter N must be a power
* of 2 greater than 1. (This optimized implementation currently additionally
* limits N to the range from 8 to 2^31, but other implementation might not.)
*
* t controls computation time while not affecting peak memory usage. shared
* and flags may request special modes as described in yescrypt.h. local is
* the thread-local data structure, allowing to preserve and reuse a memory
* allocation across calls, thereby reducing its overhead.
*
* Return 0 on success; or -1 on error.
*/
int
yescrypt_kdf(const yescrypt_shared_t * shared, yescrypt_local_t * local,
const uint8_t * passwd, size_t passwdlen,
const uint8_t * salt, size_t saltlen,
uint64_t N, uint32_t r, uint32_t p, uint32_t t, yescrypt_flags_t flags,
uint8_t * buf, size_t buflen)
{
uint8_t _ALIGN(128) sha256[32];
yescrypt_region_t tmp;
uint64_t NROM;
size_t B_size, V_size, XY_size, need;
uint8_t * B, * S;
salsa20_blk_t * V, * XY;
/*
* YESCRYPT_PARALLEL_SMIX is a no-op at p = 1 for its intended purpose,
* so don't let it have side-effects. Without this adjustment, it'd
* enable the SHA-256 password pre-hashing and output post-hashing,
* because any deviation from classic scrypt implies those.
*/
if (p == 1)
flags &= ~YESCRYPT_PARALLEL_SMIX;
/* Sanity-check parameters */
if (flags & ~YESCRYPT_KNOWN_FLAGS) {
errno = EINVAL;
return -1;
}
#if SIZE_MAX > UINT32_MAX
if (buflen > (((uint64_t)(1) << 32) - 1) * 32) {
errno = EFBIG;
return -1;
}
#endif
if ((uint64_t)(r) * (uint64_t)(p) >= (1 << 30)) {
errno = EFBIG;
return -1;
}
if (N > UINT32_MAX) {
errno = EFBIG;
return -1;
}
if (((N & (N - 1)) != 0) || (N <= 7) || (r < 1) || (p < 1)) {
errno = EINVAL;
return -1;
}
if ((flags & YESCRYPT_PARALLEL_SMIX) && (N / p <= 7)) {
errno = EINVAL;
return -1;
}
if ((r > SIZE_MAX / 256 / p) ||
(N > SIZE_MAX / 128 / r)) {
errno = ENOMEM;
return -1;
}
#ifdef _OPENMP
if (!(flags & YESCRYPT_PARALLEL_SMIX) &&
(N > SIZE_MAX / 128 / (r * p))) {
errno = ENOMEM;
return -1;
}
#endif
if ((flags & YESCRYPT_PWXFORM) &&
#ifndef _OPENMP
(flags & YESCRYPT_PARALLEL_SMIX) &&
#endif
p > SIZE_MAX / S_SIZE_ALL) {
errno = ENOMEM;
return -1;
}
NROM = 0;
if (shared->shared1.aligned) {
NROM = shared->shared1.aligned_size / ((size_t)128 * r);
if (NROM > UINT32_MAX) {
errno = EFBIG;
return -1;
}
if (((NROM & (NROM - 1)) != 0) || (NROM <= 7) ||
!(flags & YESCRYPT_RW)) {
errno = EINVAL;
return -1;
}
}
/* Allocate memory */
V = NULL;
V_size = (size_t)128 * r * N;
#ifdef _OPENMP
if (!(flags & YESCRYPT_PARALLEL_SMIX))
V_size *= p;
#endif
need = V_size;
if (flags & __YESCRYPT_INIT_SHARED) {
if (local->aligned_size < need) {
if (local->base || local->aligned ||
local->base_size || local->aligned_size) {
errno = EINVAL;
return -1;
}
if (!alloc_region(local, need))
return -1;
}
V = (salsa20_blk_t *)local->aligned;
need = 0;
}
B_size = (size_t)128 * r * p;
need += B_size;
if (need < B_size) {
errno = ENOMEM;
return -1;
}
XY_size = (size_t)256 * r;
#ifdef _OPENMP
XY_size *= p;
#endif
need += XY_size;
if (need < XY_size) {
errno = ENOMEM;
return -1;
}
if (flags & YESCRYPT_PWXFORM) {
size_t S_size = S_SIZE_ALL;
#ifdef _OPENMP
S_size *= p;
#else
if (flags & YESCRYPT_PARALLEL_SMIX)
S_size *= p;
#endif
need += S_size;
if (need < S_size) {
errno = ENOMEM;
return -1;
}
}
if (flags & __YESCRYPT_INIT_SHARED) {
if (!alloc_region(&tmp, need))
return -1;
B = (uint8_t *)tmp.aligned;
XY = (salsa20_blk_t *)((uint8_t *)B + B_size);
} else {
init_region(&tmp);
if (local->aligned_size < need) {
if (free_region(local))
return -1;
if (!alloc_region(local, need))
return -1;
}
B = (uint8_t *)local->aligned;
V = (salsa20_blk_t *)((uint8_t *)B + B_size);
XY = (salsa20_blk_t *)((uint8_t *)V + V_size);
}
S = NULL;
if (flags & YESCRYPT_PWXFORM)
S = (uint8_t *)XY + XY_size;
if (t || flags) {
#ifndef USE_SPH_SHA
SHA256_CTX ctx;
SHA256_Init(&ctx);
SHA256_Update(&ctx, passwd, passwdlen);
SHA256_Final(sha256, &ctx);
#else
SHA256_CTX_Y ctx;
SHA256_Init_Y(&ctx);
SHA256_Update_Y(&ctx, passwd, passwdlen);
SHA256_Final_Y(sha256, &ctx);
#endif
passwd = sha256;
passwdlen = sizeof(sha256);
}
/* 1: (B_0 ... B_{p-1}) <-- PBKDF2(P, S, 1, p * MFLen) */
PBKDF2_SHA256(passwd, passwdlen, salt, saltlen, 1, B, B_size);
if (t || flags)
memcpy(sha256, B, sizeof(sha256));
if (p == 1 || (flags & YESCRYPT_PARALLEL_SMIX)) {
smix(B, r, N, p, t, flags, V, NROM, shared, XY, S);
} else {
uint32_t i;
/* 2: for i = 0 to p - 1 do */
#ifdef _OPENMP
#pragma omp parallel for default(none) private(i) shared(B, r, N, p, t, flags, V, NROM, shared, XY, S)
#endif
for (i = 0; i < p; i++) {
/* 3: B_i <-- MF(B_i, N) */
#ifdef _OPENMP
smix(&B[(size_t)128 * r * i], r, N, 1, t, flags,
&V[(size_t)2 * r * i * N],
NROM, shared,
&XY[(size_t)4 * r * i],
S ? &S[S_SIZE_ALL * i] : S);
#else
smix(&B[(size_t)128 * r * i], r, N, 1, t, flags, V,
NROM, shared, XY, S);
#endif
}
}
/* 5: DK <-- PBKDF2(P, B, 1, dkLen) */
PBKDF2_SHA256(passwd, passwdlen, B, B_size, 1, buf, buflen);
/*
* Except when computing classic scrypt, allow all computation so far
* to be performed on the client. The final steps below match those of
* SCRAM (RFC 5802), so that an extension of SCRAM (with the steps so
* far in place of SCRAM's use of PBKDF2 and with SHA-256 in place of
* SCRAM's use of SHA-1) would be usable with yescrypt hashes.
*/
if ((t || flags) && buflen == sizeof(sha256)) {
/* Compute ClientKey */
{
HMAC_SHA256_CTX ctx;
HMAC_SHA256_Init(&ctx, buf, buflen);
if ( yescrypt_client_key )
HMAC_SHA256_Update( &ctx, (uint8_t*)yescrypt_client_key,
yescrypt_client_key_len );
else
HMAC_SHA256_Update( &ctx, salt, saltlen );
HMAC_SHA256_Final(sha256, &ctx);
}
/* Compute StoredKey */
{
#ifndef USE_SPH_SHA
SHA256_CTX ctx;
SHA256_Init(&ctx);
SHA256_Update(&ctx, sha256, sizeof(sha256));
SHA256_Final(buf, &ctx);
#else
SHA256_CTX_Y ctx;
SHA256_Init_Y(&ctx);
SHA256_Update_Y(&ctx, sha256, sizeof(sha256));
SHA256_Final_Y(buf, &ctx);
#endif
}
}
if (free_region(&tmp))
return -1;
/* Success! */
return 0;
}
|
hsv.c | /* Generated by Cython 0.27.3 */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
#error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
#error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_27_3"
#define CYTHON_FUTURE_DIVISION 0
#include <stddef.h>
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
#ifndef __stdcall
#define __stdcall
#endif
#ifndef __cdecl
#define __cdecl
#endif
#ifndef __fastcall
#define __fastcall
#endif
#endif
#ifndef DL_IMPORT
#define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
#define DL_EXPORT(t) t
#endif
#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
#if PY_VERSION_HEX >= 0x02070000
#define HAVE_LONG_LONG
#endif
#endif
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
#define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
#define CYTHON_COMPILING_IN_PYPY 1
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 0
#undef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 0
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#if PY_VERSION_HEX < 0x03050000
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#undef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#undef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 1
#undef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 0
#undef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 0
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#elif defined(PYSTON_VERSION)
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 1
#define CYTHON_COMPILING_IN_CPYTHON 0
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
#endif
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
#endif
#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
#endif
#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
#endif
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#else
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 1
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
#define CYTHON_USE_PYTYPE_LOOKUP 1
#endif
#if PY_MAJOR_VERSION < 3
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#elif !defined(CYTHON_USE_PYLONG_INTERNALS)
#define CYTHON_USE_PYLONG_INTERNALS 1
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#define CYTHON_USE_PYLIST_INTERNALS 1
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#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
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#if PY_VERSION_HEX < 0x030300F0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#elif !defined(CYTHON_USE_UNICODE_WRITER)
#define CYTHON_USE_UNICODE_WRITER 1
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#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
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#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
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#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
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#ifndef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 1
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#ifndef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 1
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#ifndef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT (0 && PY_VERSION_HEX >= 0x03050000)
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#ifndef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
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#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
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#if CYTHON_USE_PYLONG_INTERNALS
#include "longintrepr.h"
#undef SHIFT
#undef BASE
#undef MASK
#endif
#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
#define Py_OptimizeFlag 0
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#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
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#define __Pyx_DefaultClassType PyClass_Type
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#define __Pyx_BUILTIN_MODULE_NAME "builtins"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#define __Pyx_DefaultClassType PyType_Type
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#ifndef Py_TPFLAGS_CHECKTYPES
#define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
#define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
#define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
#define Py_TPFLAGS_HAVE_FINALIZE 0
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#if PY_VERSION_HEX < 0x030700A0 || !defined(METH_FASTCALL)
#ifndef METH_FASTCALL
#define METH_FASTCALL 0x80
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typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject **args, Py_ssize_t nargs);
typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject **args,
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#define __Pyx_PyCFunctionFast _PyCFunctionFast
#define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
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#if CYTHON_FAST_PYCCALL
#define __Pyx_PyFastCFunction_Check(func)\
((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS)))))
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#define __Pyx_PyFastCFunction_Check(func) 0
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#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
#define __Pyx_PyThreadState_Current PyThreadState_GET()
#elif PY_VERSION_HEX >= 0x03060000
#define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
#elif PY_VERSION_HEX >= 0x03000000
#define __Pyx_PyThreadState_Current PyThreadState_GET()
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#define __Pyx_PyThreadState_Current _PyThreadState_Current
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#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
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#define __Pyx_PyDict_NewPresized(n) PyDict_New()
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#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#define CYTHON_PEP393_ENABLED 1
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)
#define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)
#define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#else
#define CYTHON_PEP393_ENABLED 0
#define PyUnicode_1BYTE_KIND 1
#define PyUnicode_2BYTE_KIND 2
#define PyUnicode_4BYTE_KIND 4
#define __Pyx_PyUnicode_READY(op) (0)
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
#define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))
#define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))
#define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))
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#if CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)
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#define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
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#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
#define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
#define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
#define PyObject_Malloc(s) PyMem_Malloc(s)
#define PyObject_Free(p) PyMem_Free(p)
#define PyObject_Realloc(p) PyMem_Realloc(p)
#endif
#if CYTHON_COMPILING_IN_PYSTON
#define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
#else
#define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno)
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#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
#else
#define __Pyx_PyString_Format(a, b) PyString_Format(a, b)
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#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
#define PyObject_ASCII(o) PyObject_Repr(o)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
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#ifndef PySet_CheckExact
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
#endif
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#define PyNumber_Int PyNumber_Long
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#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
#endif
#endif
#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func))
#else
#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
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#ifndef __has_attribute
#define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
#define __has_cpp_attribute(x) 0
#endif
#if CYTHON_USE_ASYNC_SLOTS
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
#else
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#endif
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#endif
#ifndef CYTHON_RESTRICT
#if defined(__GNUC__)
#define CYTHON_RESTRICT __restrict__
#elif defined(_MSC_VER) && _MSC_VER >= 1400
#define CYTHON_RESTRICT __restrict
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_RESTRICT restrict
#else
#define CYTHON_RESTRICT
#endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
# if defined(__cplusplus)
template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
# else
# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
# endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
# define CYTHON_NCP_UNUSED
# else
# define CYTHON_NCP_UNUSED CYTHON_UNUSED
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#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
#ifndef _MSC_STDINT_H_
#if _MSC_VER < 1300
typedef unsigned char uint8_t;
typedef unsigned int uint32_t;
#else
typedef unsigned __int8 uint8_t;
typedef unsigned __int32 uint32_t;
#endif
#endif
#else
#include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
#if defined(__cplusplus) && __cplusplus >= 201103L
#if __has_cpp_attribute(fallthrough)
#define CYTHON_FALLTHROUGH [[fallthrough]]
#elif __has_cpp_attribute(clang::fallthrough)
#define CYTHON_FALLTHROUGH [[clang::fallthrough]]
#elif __has_cpp_attribute(gnu::fallthrough)
#define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
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#endif
#ifndef CYTHON_FALLTHROUGH
#if __has_attribute(fallthrough)
#define CYTHON_FALLTHROUGH __attribute__((fallthrough))
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#define CYTHON_FALLTHROUGH
#endif
#endif
#if defined(__clang__ ) && defined(__apple_build_version__)
#if __apple_build_version__ < 7000000
#undef CYTHON_FALLTHROUGH
#define CYTHON_FALLTHROUGH
#endif
#endif
#endif
#ifndef CYTHON_INLINE
#if defined(__clang__)
#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
#elif defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
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#define __PYX_ERR(f_index, lineno, Ln_error) \
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__pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \
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#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#define __PYX_HAVE__HSV
#define __PYX_HAVE_API__HSV
#include <string.h>
#include <stdlib.h>
#include "hsv_c.c"
#include "pythread.h"
#include <stdio.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
(sizeof(type) < sizeof(Py_ssize_t)) ||\
(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
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#if defined (__cplusplus) && __cplusplus >= 201103L
#include <cstdlib>
#define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
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#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
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static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
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#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
const Py_UNICODE *u_end = u;
while (*u_end++) ;
return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
#define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False))
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
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static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
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#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
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#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
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#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
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#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
if (strcmp(default_encoding_c, "ascii") == 0) {
__Pyx_sys_getdefaultencoding_not_ascii = 0;
} else {
char ascii_chars[128];
int c;
for (c = 0; c < 128; c++) {
ascii_chars[c] = c;
}
__Pyx_sys_getdefaultencoding_not_ascii = 1;
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
if (!ascii_chars_u) goto bad;
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c));
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
}
#endif
#endif
/* Test for GCC > 2.95 */
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
static const char *__pyx_f[] = {
"hsv.pyx",
"stringsource",
};
/* NoFastGil.proto */
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
#define __Pyx_PyGILState_Release PyGILState_Release
#define __Pyx_FastGIL_Remember()
#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()
/* MemviewSliceStruct.proto */
struct __pyx_memoryview_obj;
typedef struct {
struct __pyx_memoryview_obj *memview;
char *data;
Py_ssize_t shape[8];
Py_ssize_t strides[8];
Py_ssize_t suboffsets[8];
} __Pyx_memviewslice;
#define __Pyx_MemoryView_Len(m) (m.shape[0])
/* Atomics.proto */
#include <pythread.h>
#ifndef CYTHON_ATOMICS
#define CYTHON_ATOMICS 1
#endif
#define __pyx_atomic_int_type int
#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
(__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
!defined(__i386__)
#define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
#define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using GNU atomics"
#endif
#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
#include <Windows.h>
#undef __pyx_atomic_int_type
#define __pyx_atomic_int_type LONG
#define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#pragma message ("Using MSVC atomics")
#endif
#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0
#define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using Intel atomics"
#endif
#else
#undef CYTHON_ATOMICS
#define CYTHON_ATOMICS 0
#ifdef __PYX_DEBUG_ATOMICS
#warning "Not using atomics"
#endif
#endif
typedef volatile __pyx_atomic_int_type __pyx_atomic_int;
#if CYTHON_ATOMICS
#define __pyx_add_acquisition_count(memview)\
__pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#else
#define __pyx_add_acquisition_count(memview)\
__pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#endif
/* ForceInitThreads.proto */
#ifndef __PYX_FORCE_INIT_THREADS
#define __PYX_FORCE_INIT_THREADS 0
#endif
/* BufferFormatStructs.proto */
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
const char* name;
struct __Pyx_StructField_* fields;
size_t size;
size_t arraysize[8];
int ndim;
char typegroup;
char is_unsigned;
int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
__Pyx_TypeInfo* type;
const char* name;
size_t offset;
} __Pyx_StructField;
typedef struct {
__Pyx_StructField* field;
size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
__Pyx_StructField root;
__Pyx_BufFmt_StackElem* head;
size_t fmt_offset;
size_t new_count, enc_count;
size_t struct_alignment;
int is_complex;
char enc_type;
char new_packmode;
char enc_packmode;
char is_valid_array;
} __Pyx_BufFmt_Context;
/*--- Type declarations ---*/
struct __pyx_array_obj;
struct __pyx_MemviewEnum_obj;
struct __pyx_memoryview_obj;
struct __pyx_memoryviewslice_obj;
/* "hsv.pyx":55
* double fmin_rgb_value(double red, double green, double blue)nogil
*
* ctypedef hsv HSV # <<<<<<<<<<<<<<
* ctypedef rgb RGB
*
*/
typedef struct hsv __pyx_t_3HSV_HSV;
/* "hsv.pyx":56
*
* ctypedef hsv HSV
* ctypedef rgb RGB # <<<<<<<<<<<<<<
*
* # ------------------------------------ INTERFACE ----------------------------------------------
*/
typedef struct rgb __pyx_t_3HSV_RGB;
/* "View.MemoryView":103
*
* @cname("__pyx_array")
* cdef class array: # <<<<<<<<<<<<<<
*
* cdef:
*/
struct __pyx_array_obj {
PyObject_HEAD
struct __pyx_vtabstruct_array *__pyx_vtab;
char *data;
Py_ssize_t len;
char *format;
int ndim;
Py_ssize_t *_shape;
Py_ssize_t *_strides;
Py_ssize_t itemsize;
PyObject *mode;
PyObject *_format;
void (*callback_free_data)(void *);
int free_data;
int dtype_is_object;
};
/* "View.MemoryView":277
*
* @cname('__pyx_MemviewEnum')
* cdef class Enum(object): # <<<<<<<<<<<<<<
* cdef object name
* def __init__(self, name):
*/
struct __pyx_MemviewEnum_obj {
PyObject_HEAD
PyObject *name;
};
/* "View.MemoryView":328
*
* @cname('__pyx_memoryview')
* cdef class memoryview(object): # <<<<<<<<<<<<<<
*
* cdef object obj
*/
struct __pyx_memoryview_obj {
PyObject_HEAD
struct __pyx_vtabstruct_memoryview *__pyx_vtab;
PyObject *obj;
PyObject *_size;
PyObject *_array_interface;
PyThread_type_lock lock;
__pyx_atomic_int acquisition_count[2];
__pyx_atomic_int *acquisition_count_aligned_p;
Py_buffer view;
int flags;
int dtype_is_object;
__Pyx_TypeInfo *typeinfo;
};
/* "View.MemoryView":953
*
* @cname('__pyx_memoryviewslice')
* cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<<
* "Internal class for passing memoryview slices to Python"
*
*/
struct __pyx_memoryviewslice_obj {
struct __pyx_memoryview_obj __pyx_base;
__Pyx_memviewslice from_slice;
PyObject *from_object;
PyObject *(*to_object_func)(char *);
int (*to_dtype_func)(char *, PyObject *);
};
/* "View.MemoryView":103
*
* @cname("__pyx_array")
* cdef class array: # <<<<<<<<<<<<<<
*
* cdef:
*/
struct __pyx_vtabstruct_array {
PyObject *(*get_memview)(struct __pyx_array_obj *);
};
static struct __pyx_vtabstruct_array *__pyx_vtabptr_array;
/* "View.MemoryView":328
*
* @cname('__pyx_memoryview')
* cdef class memoryview(object): # <<<<<<<<<<<<<<
*
* cdef object obj
*/
struct __pyx_vtabstruct_memoryview {
char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *);
PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *);
};
static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview;
/* "View.MemoryView":953
*
* @cname('__pyx_memoryviewslice')
* cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<<
* "Internal class for passing memoryview slices to Python"
*
*/
struct __pyx_vtabstruct__memoryviewslice {
struct __pyx_vtabstruct_memoryview __pyx_base;
};
static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice;
/* --- Runtime support code (head) --- */
/* Refnanny.proto */
#ifndef CYTHON_REFNANNY
#define CYTHON_REFNANNY 0
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#if CYTHON_REFNANNY
typedef struct {
void (*INCREF)(void*, PyObject*, int);
void (*DECREF)(void*, PyObject*, int);
void (*GOTREF)(void*, PyObject*, int);
void (*GIVEREF)(void*, PyObject*, int);
void* (*SetupContext)(const char*, int, const char*);
void (*FinishContext)(void**);
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static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname);
#define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
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#define __Pyx_RefNannySetupContext(name, acquire_gil)\
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PyGILState_Release(__pyx_gilstate_save);\
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#define __Pyx_RefNannySetupContext(name, acquire_gil)\
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#define __Pyx_RefNannyFinishContext()\
__Pyx_RefNanny->FinishContext(&__pyx_refnanny)
#define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
#define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
#define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
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#define __Pyx_RefNannyDeclarations
#define __Pyx_RefNannySetupContext(name, acquire_gil)
#define __Pyx_RefNannyFinishContext()
#define __Pyx_INCREF(r) Py_INCREF(r)
#define __Pyx_DECREF(r) Py_DECREF(r)
#define __Pyx_GOTREF(r)
#define __Pyx_GIVEREF(r)
#define __Pyx_XINCREF(r) Py_XINCREF(r)
#define __Pyx_XDECREF(r) Py_XDECREF(r)
#define __Pyx_XGOTREF(r)
#define __Pyx_XGIVEREF(r)
#endif
#define __Pyx_XDECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
r = v; __Pyx_XDECREF(tmp);\
} while (0)
#define __Pyx_DECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
r = v; __Pyx_DECREF(tmp);\
} while (0)
#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
/* PyObjectGetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
PyTypeObject* tp = Py_TYPE(obj);
if (likely(tp->tp_getattro))
return tp->tp_getattro(obj, attr_name);
#if PY_MAJOR_VERSION < 3
if (likely(tp->tp_getattr))
return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
#endif
return PyObject_GetAttr(obj, attr_name);
}
#else
#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
#endif
/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
const char* function_name);
/* None.proto */
static CYTHON_INLINE long __Pyx_mod_long(long, long);
/* GetModuleGlobalName.proto */
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);
/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL)
#endif
/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
__Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
#endif
#endif
/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif
/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif
/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
/* PyObjectCallNoArg.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);
#else
#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)
#endif
/* RaiseTooManyValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
/* IterFinish.proto */
static CYTHON_INLINE int __Pyx_IterFinish(void);
/* UnpackItemEndCheck.proto */
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);
/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type
#else
#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred() PyErr_Occurred()
#endif
/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
#else
#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb)
#endif
/* PyErrExceptionMatches.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
#else
#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err)
#endif
/* GetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb)
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb)
#endif
/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
/* MemviewSliceInit.proto */
#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d
#define __Pyx_MEMVIEW_DIRECT 1
#define __Pyx_MEMVIEW_PTR 2
#define __Pyx_MEMVIEW_FULL 4
#define __Pyx_MEMVIEW_CONTIG 8
#define __Pyx_MEMVIEW_STRIDED 16
#define __Pyx_MEMVIEW_FOLLOW 32
#define __Pyx_IS_C_CONTIG 1
#define __Pyx_IS_F_CONTIG 2
static int __Pyx_init_memviewslice(
struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference);
static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))
#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
(is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
__Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
int is_list, int wraparound, int boundscheck);
/* SliceObject.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(
PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,
PyObject** py_start, PyObject** py_stop, PyObject** py_slice,
int has_cstart, int has_cstop, int wraparound);
/* ArgTypeTest.proto */
#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
__Pyx__ArgTypeTest(obj, type, name, exact))
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
/* IncludeStringH.proto */
#include <string.h>
/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif
/* None.proto */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t);
/* UnaryNegOverflows.proto */
#define UNARY_NEG_WOULD_OVERFLOW(x)\
(((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))
static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
/* GetAttr.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
/* decode_c_string_utf16.proto */
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 0;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = -1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
/* decode_c_string.proto */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
/* GetAttr3.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
/* SwapException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
/* ListCompAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len)) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\
(inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif
/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
#else
return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
#endif
}
/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* None.proto */
static CYTHON_INLINE long __Pyx_div_long(long, long);
/* WriteUnraisableException.proto */
static void __Pyx_WriteUnraisable(const char *name, int clineno,
int lineno, const char *filename,
int full_traceback, int nogil);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
/* HasAttr.proto */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
/* SetupReduce.proto */
static int __Pyx_setup_reduce(PyObject* type_obj);
/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif
/* CodeObjectCache.proto */
typedef struct {
PyCodeObject* code_object;
int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename);
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
/* BufferStructDeclare.proto */
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;
/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
/* Print.proto */
static int __Pyx_Print(PyObject*, PyObject *, int);
#if CYTHON_COMPILING_IN_PYPY || PY_MAJOR_VERSION >= 3
static PyObject* __pyx_print = 0;
static PyObject* __pyx_print_kwargs = 0;
#endif
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_char(unsigned char value);
/* MemviewDtypeToObject.proto */
static CYTHON_INLINE PyObject *__pyx_memview_get_unsigned_char(const char *itemp);
static CYTHON_INLINE int __pyx_memview_set_unsigned_char(const char *itemp, PyObject *obj);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* PrintOne.proto */
static int __Pyx_PrintOne(PyObject* stream, PyObject *o);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE unsigned char __Pyx_PyInt_As_unsigned_char(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
#else
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
#endif
/* IsLittleEndian.proto */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);
/* BufferFormatCheck.proto */
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type);
/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_unsigned_char(PyObject *);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_unsigned_char(PyObject *);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_unsigned_char(PyObject *);
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'cython.view' */
/* Module declarations from 'cython' */
/* Module declarations from 'libc.string' */
/* Module declarations from 'libc.stdlib' */
/* Module declarations from 'HSV' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static PyObject *__pyx_f_3HSV_hsv2rgb(double, double, double, int __pyx_skip_dispatch); /*proto*/
static PyObject *__pyx_f_3HSV_rgb2hsv(double, double, double, int __pyx_skip_dispatch); /*proto*/
static PyObject *__pyx_f_3HSV_rgb_to_hsv_c(double, double, double, int __pyx_skip_dispatch); /*proto*/
static PyObject *__pyx_f_3HSV_hsv_to_rgb_c(double, double, double, int __pyx_skip_dispatch); /*proto*/
static PyObject *__pyx_f_3HSV_struct_rgb_to_hsv_c(double, double, double, int __pyx_skip_dispatch); /*proto*/
static PyObject *__pyx_f_3HSV_struct_hsv_to_rgb_c(double, double, double, int __pyx_skip_dispatch); /*proto*/
static PyObject *__pyx_f_3HSV_hue_surface_24(PyObject *, float, int __pyx_skip_dispatch); /*proto*/
static PyObject *__pyx_f_3HSV_hue_surface_32(PyObject *, float, int __pyx_skip_dispatch); /*proto*/
static double *__pyx_f_3HSV_rgb2hsv_c(double, double, double); /*proto*/
static double *__pyx_f_3HSV_hsv2rgb_c(double, double, double); /*proto*/
static PyObject *__pyx_f_3HSV_hue_surface_24c(PyObject *, double); /*proto*/
static PyObject *__pyx_f_3HSV_hue_surface_32c(PyObject *, float); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_unsigned_char = { "unsigned char", NULL, sizeof(unsigned char), { 0 }, 0, IS_UNSIGNED(unsigned char) ? 'U' : 'I', IS_UNSIGNED(unsigned char), 0 };
#define __Pyx_MODULE_NAME "HSV"
extern int __pyx_module_is_main_HSV;
int __pyx_module_is_main_HSV = 0;
/* Implementation of 'HSV' */
static PyObject *__pyx_builtin_ImportError;
static PyObject *__pyx_builtin_SystemExit;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_C[] = "C";
static const char __pyx_k_O[] = "O";
static const char __pyx_k_a[] = "a";
static const char __pyx_k_b[] = "b";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_e[] = "e";
static const char __pyx_k_g[] = "g";
static const char __pyx_k_h[] = "h";
static const char __pyx_k_r[] = "r";
static const char __pyx_k_s[] = "s";
static const char __pyx_k_v[] = "v";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_HSV[] = "HSV";
static const char __pyx_k_RGB[] = "RGB";
static const char __pyx_k_end[] = "end";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_RGBA[] = "RGBA";
static const char __pyx_k_Rect[] = "Rect";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_copy[] = "copy";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_file[] = "file";
static const char __pyx_k_hsva[] = "hsva";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mask[] = "mask";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "name";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_step[] = "step";
static const char __pyx_k_stop[] = "stop";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_ASCII[] = "ASCII";
static const char __pyx_k_Color[] = "Color";
static const char __pyx_k_array[] = "array";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_dtype[] = "dtype";
static const char __pyx_k_empty[] = "empty";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_event[] = "event";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_image[] = "image";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_order[] = "order";
static const char __pyx_k_print[] = "print";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_scale[] = "scale";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_shift[] = "shift_";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_uint8[] = "uint8";
static const char __pyx_k_astype[] = "astype";
static const char __pyx_k_dstack[] = "dstack";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_pygame[] = "pygame";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_rotate[] = "rotate";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_HWACCEL[] = "HWACCEL";
static const char __pyx_k_Surface[] = "Surface";
static const char __pyx_k_Vector2[] = "Vector2";
static const char __pyx_k_array3d[] = "array3d";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_hsv_pyx[] = "hsv.pyx";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_surface[] = "surface_";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_RLEACCEL[] = "RLEACCEL";
static const char __pyx_k_SRCALPHA[] = "SRCALPHA";
static const char __pyx_k_colorsys[] = "colorsys";
static const char __pyx_k_get_size[] = "get_size";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_pixels3d[] = "pixels3d";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_rgb_array[] = "rgb_array";
static const char __pyx_k_rgb_color[] = "rgb_color";
static const char __pyx_k_shift_hue[] = "shift_hue";
static const char __pyx_k_surfarray[] = "surfarray";
static const char __pyx_k_transform[] = "transform";
static const char __pyx_k_transpose[] = "transpose";
static const char __pyx_k_vectorize[] = "vectorize";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_SystemExit[] = "SystemExit";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_frombuffer[] = "frombuffer";
static const char __pyx_k_hsv_to_rgb[] = "hsv_to_rgb";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_alpha_array[] = "alpha_array";
static const char __pyx_k_hue_surface[] = "hue_surface";
static const char __pyx_k_pygame_math[] = "pygame.math";
static const char __pyx_k_smoothscale[] = "smoothscale";
static const char __pyx_k_vectorize_2[] = "vectorize_";
static const char __pyx_k_pixels_alpha[] = "pixels_alpha";
static const char __pyx_k_pygame_image[] = "pygame.image";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_source_array[] = "source_array_";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_BLEND_RGB_ADD[] = "BLEND_RGB_ADD";
static const char __pyx_k_BLEND_RGB_MAX[] = "BLEND_RGB_MAX";
static const char __pyx_k_convert_alpha[] = "convert_alpha";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_BLEND_RGB_MULT[] = "BLEND_RGB_MULT";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_pygame_surfarray[] = "pygame.surfarray";
static const char __pyx_k_pygame_transform[] = "pygame.transform";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_Invalid_pixel_format[] = "\nInvalid pixel format.";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_Compatible_only_for_32_bit_form[] = "\nCompatible only for 32-bit format with per-pixel transparency.";
static const char __pyx_k_Pygame_library_is_missing_on_yo[] = "\n<Pygame> library is missing on your system.\nTry: \n C:\\pip install pygame on a window command prompt.";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Expecting_Surface_for_argument_s[] = "Expecting Surface for argument surface_ got %s ";
static const char __pyx_k_Expecting_double_for_argument_sh[] = "Expecting double for argument shift_, got %s ";
static const char __pyx_k_Expecting_float_for_argument_shi[] = "Expecting float for argument shift_, got %s ";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Positional_argument_shift__shoul[] = "Positional argument shift_ should be between[0.0 .. 1.0]";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_n_s_BLEND_RGB_ADD;
static PyObject *__pyx_n_s_BLEND_RGB_MAX;
static PyObject *__pyx_n_s_BLEND_RGB_MULT;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_n_s_C;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Color;
static PyObject *__pyx_kp_s_Compatible_only_for_32_bit_form;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_s_Expecting_Surface_for_argument_s;
static PyObject *__pyx_kp_s_Expecting_double_for_argument_sh;
static PyObject *__pyx_kp_s_Expecting_float_for_argument_shi;
static PyObject *__pyx_n_s_HSV;
static PyObject *__pyx_n_s_HWACCEL;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_pixel_format;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_kp_s_Positional_argument_shift__shoul;
static PyObject *__pyx_kp_s_Pygame_library_is_missing_on_yo;
static PyObject *__pyx_n_s_RGB;
static PyObject *__pyx_n_s_RGBA;
static PyObject *__pyx_n_s_RLEACCEL;
static PyObject *__pyx_n_s_Rect;
static PyObject *__pyx_n_s_SRCALPHA;
static PyObject *__pyx_n_s_Surface;
static PyObject *__pyx_n_s_SystemExit;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_Vector2;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s_a;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_alpha_array;
static PyObject *__pyx_n_s_array;
static PyObject *__pyx_n_s_array3d;
static PyObject *__pyx_n_s_astype;
static PyObject *__pyx_n_s_b;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_colorsys;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_convert_alpha;
static PyObject *__pyx_n_s_copy;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dstack;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_e;
static PyObject *__pyx_n_s_empty;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_end;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_event;
static PyObject *__pyx_n_s_file;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_frombuffer;
static PyObject *__pyx_n_s_g;
static PyObject *__pyx_n_s_get_size;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_h;
static PyObject *__pyx_kp_s_hsv_pyx;
static PyObject *__pyx_n_s_hsv_to_rgb;
static PyObject *__pyx_n_s_hsva;
static PyObject *__pyx_n_s_hue_surface;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_image;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_mask;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_name_2;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_new;
static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_order;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_pickle;
static PyObject *__pyx_n_s_pixels3d;
static PyObject *__pyx_n_s_pixels_alpha;
static PyObject *__pyx_n_s_print;
static PyObject *__pyx_n_s_pygame;
static PyObject *__pyx_n_s_pygame_image;
static PyObject *__pyx_n_s_pygame_math;
static PyObject *__pyx_n_s_pygame_surfarray;
static PyObject *__pyx_n_s_pygame_transform;
static PyObject *__pyx_n_s_pyx_PickleError;
static PyObject *__pyx_n_s_pyx_checksum;
static PyObject *__pyx_n_s_pyx_getbuffer;
static PyObject *__pyx_n_s_pyx_result;
static PyObject *__pyx_n_s_pyx_state;
static PyObject *__pyx_n_s_pyx_type;
static PyObject *__pyx_n_s_pyx_unpickle_Enum;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_r;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
static PyObject *__pyx_n_s_rgb_array;
static PyObject *__pyx_n_s_rgb_color;
static PyObject *__pyx_n_s_rotate;
static PyObject *__pyx_n_s_s;
static PyObject *__pyx_n_s_scale;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_shift;
static PyObject *__pyx_n_s_shift_hue;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_smoothscale;
static PyObject *__pyx_n_s_source_array;
static PyObject *__pyx_n_s_start;
static PyObject *__pyx_n_s_step;
static PyObject *__pyx_n_s_stop;
static PyObject *__pyx_kp_s_strided_and_direct;
static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
static PyObject *__pyx_kp_s_strided_and_indirect;
static PyObject *__pyx_kp_s_stringsource;
static PyObject *__pyx_n_s_struct;
static PyObject *__pyx_n_s_surface;
static PyObject *__pyx_n_s_surfarray;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_transform;
static PyObject *__pyx_n_s_transpose;
static PyObject *__pyx_n_s_uint8;
static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
static PyObject *__pyx_n_s_unpack;
static PyObject *__pyx_n_s_update;
static PyObject *__pyx_n_s_v;
static PyObject *__pyx_n_s_vectorize;
static PyObject *__pyx_n_s_vectorize_2;
static PyObject *__pyx_pf_3HSV_hsv2rgb(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_h, double __pyx_v_s, double __pyx_v_v); /* proto */
static PyObject *__pyx_pf_3HSV_2rgb2hsv(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_r, double __pyx_v_g, double __pyx_v_b); /* proto */
static PyObject *__pyx_pf_3HSV_4rgb_to_hsv_c(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_r, double __pyx_v_g, double __pyx_v_b); /* proto */
static PyObject *__pyx_pf_3HSV_6hsv_to_rgb_c(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_h, double __pyx_v_s, double __pyx_v_v); /* proto */
static PyObject *__pyx_pf_3HSV_8struct_rgb_to_hsv_c(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_r, double __pyx_v_g, double __pyx_v_b); /* proto */
static PyObject *__pyx_pf_3HSV_10struct_hsv_to_rgb_c(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_h, double __pyx_v_s, double __pyx_v_v); /* proto */
static PyObject *__pyx_pf_3HSV_12hue_surface_24(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_surface_, float __pyx_v_shift_); /* proto */
static PyObject *__pyx_pf_3HSV_14hue_surface_32(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_surface_, float __pyx_v_shift_); /* proto */
static PyObject *__pyx_pf_3HSV_16shift_hue(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_r, PyObject *__pyx_v_g, PyObject *__pyx_v_b, PyObject *__pyx_v_shift_); /* proto */
static PyObject *__pyx_pf_3HSV_18hue_surface(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_surface_, PyObject *__pyx_v_shift_); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */
static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
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* bb = b * ONE_255 # / 255.0 # <<<<<<<<<<<<<<
* mx = fmax_rgb_value(rr, gg, bb)
* mn = fmin_rgb_value(rr, gg, bb)
*/
__pyx_v_bb = (__pyx_v_b * 0.00392156862745098);
/* "hsv.pyx":301
* gg = g * ONE_255 # / 255.0
* bb = b * ONE_255 # / 255.0
* mx = fmax_rgb_value(rr, gg, bb) # <<<<<<<<<<<<<<
* mn = fmin_rgb_value(rr, gg, bb)
* df = mx-mn
*/
__pyx_v_mx = fmax_rgb_value(__pyx_v_rr, __pyx_v_gg, __pyx_v_bb);
/* "hsv.pyx":302
* bb = b * ONE_255 # / 255.0
* mx = fmax_rgb_value(rr, gg, bb)
* mn = fmin_rgb_value(rr, gg, bb) # <<<<<<<<<<<<<<
* df = mx-mn
* df_ = 1.0/df
*/
__pyx_v_mn = fmin_rgb_value(__pyx_v_rr, __pyx_v_gg, __pyx_v_bb);
/* "hsv.pyx":303
* mx = fmax_rgb_value(rr, gg, bb)
* mn = fmin_rgb_value(rr, gg, bb)
* df = mx-mn # <<<<<<<<<<<<<<
* df_ = 1.0/df
* if mx == mn:
*/
__pyx_v_df = (__pyx_v_mx - __pyx_v_mn);
/* "hsv.pyx":304
* mn = fmin_rgb_value(rr, gg, bb)
* df = mx-mn
* df_ = 1.0/df # <<<<<<<<<<<<<<
* if mx == mn:
* h = 0
*/
__pyx_v_df_ = (1.0 / __pyx_v_df);
/* "hsv.pyx":305
* df = mx-mn
* df_ = 1.0/df
* if mx == mn: # <<<<<<<<<<<<<<
* h = 0
* elif mx == rr:
*/
__pyx_t_2 = ((__pyx_v_mx == __pyx_v_mn) != 0);
if (__pyx_t_2) {
/* "hsv.pyx":306
* df_ = 1.0/df
* if mx == mn:
* h = 0 # <<<<<<<<<<<<<<
* elif mx == rr:
* h = (60 * ((gg-bb) * df_) + 360) % 360
*/
__pyx_v_h = 0.0;
/* "hsv.pyx":305
* df = mx-mn
* df_ = 1.0/df
* if mx == mn: # <<<<<<<<<<<<<<
* h = 0
* elif mx == rr:
*/
goto __pyx_L32;
}
/* "hsv.pyx":307
* if mx == mn:
* h = 0
* elif mx == rr: # <<<<<<<<<<<<<<
* h = (60 * ((gg-bb) * df_) + 360) % 360
* elif mx == gg:
*/
__pyx_t_2 = ((__pyx_v_mx == __pyx_v_rr) != 0);
if (__pyx_t_2) {
/* "hsv.pyx":308
* h = 0
* elif mx == rr:
* h = (60 * ((gg-bb) * df_) + 360) % 360 # <<<<<<<<<<<<<<
* elif mx == gg:
* h = (60 * ((bb-rr) * df_) + 120) % 360
*/
__pyx_v_h = fmodf(((60.0 * ((__pyx_v_gg - __pyx_v_bb) * __pyx_v_df_)) + 360.0), 360.0);
/* "hsv.pyx":307
* if mx == mn:
* h = 0
* elif mx == rr: # <<<<<<<<<<<<<<
* h = (60 * ((gg-bb) * df_) + 360) % 360
* elif mx == gg:
*/
goto __pyx_L32;
}
/* "hsv.pyx":309
* elif mx == rr:
* h = (60 * ((gg-bb) * df_) + 360) % 360
* elif mx == gg: # <<<<<<<<<<<<<<
* h = (60 * ((bb-rr) * df_) + 120) % 360
* elif mx == bb:
*/
__pyx_t_2 = ((__pyx_v_mx == __pyx_v_gg) != 0);
if (__pyx_t_2) {
/* "hsv.pyx":310
* h = (60 * ((gg-bb) * df_) + 360) % 360
* elif mx == gg:
* h = (60 * ((bb-rr) * df_) + 120) % 360 # <<<<<<<<<<<<<<
* elif mx == bb:
* h = (60 * ((rr-gg) * df_) + 240) % 360
*/
__pyx_v_h = fmodf(((60.0 * ((__pyx_v_bb - __pyx_v_rr) * __pyx_v_df_)) + 120.0), 360.0);
/* "hsv.pyx":309
* elif mx == rr:
* h = (60 * ((gg-bb) * df_) + 360) % 360
* elif mx == gg: # <<<<<<<<<<<<<<
* h = (60 * ((bb-rr) * df_) + 120) % 360
* elif mx == bb:
*/
goto __pyx_L32;
}
/* "hsv.pyx":311
* elif mx == gg:
* h = (60 * ((bb-rr) * df_) + 120) % 360
* elif mx == bb: # <<<<<<<<<<<<<<
* h = (60 * ((rr-gg) * df_) + 240) % 360
* if mx == 0:
*/
__pyx_t_2 = ((__pyx_v_mx == __pyx_v_bb) != 0);
if (__pyx_t_2) {
/* "hsv.pyx":312
* h = (60 * ((bb-rr) * df_) + 120) % 360
* elif mx == bb:
* h = (60 * ((rr-gg) * df_) + 240) % 360 # <<<<<<<<<<<<<<
* if mx == 0:
* s = 0
*/
__pyx_v_h = fmodf(((60.0 * ((__pyx_v_rr - __pyx_v_gg) * __pyx_v_df_)) + 240.0), 360.0);
/* "hsv.pyx":311
* elif mx == gg:
* h = (60 * ((bb-rr) * df_) + 120) % 360
* elif mx == bb: # <<<<<<<<<<<<<<
* h = (60 * ((rr-gg) * df_) + 240) % 360
* if mx == 0:
*/
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__pyx_L32:;
/* "hsv.pyx":313
* elif mx == bb:
* h = (60 * ((rr-gg) * df_) + 240) % 360
* if mx == 0: # <<<<<<<<<<<<<<
* s = 0
* else:
*/
__pyx_t_2 = ((__pyx_v_mx == 0.0) != 0);
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/* "hsv.pyx":314
* h = (60 * ((rr-gg) * df_) + 240) % 360
* if mx == 0:
* s = 0 # <<<<<<<<<<<<<<
* else:
* s = df/mx
*/
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/* "hsv.pyx":313
* elif mx == bb:
* h = (60 * ((rr-gg) * df_) + 240) % 360
* if mx == 0: # <<<<<<<<<<<<<<
* s = 0
* else:
*/
goto __pyx_L33;
}
/* "hsv.pyx":316
* s = 0
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* v = mx
* h = (h * ONE_360) + shift_
*/
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__pyx_L33:;
/* "hsv.pyx":317
* else:
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* v = mx # <<<<<<<<<<<<<<
* h = (h * ONE_360) + shift_
*
*/
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/* "hsv.pyx":318
* s = df/mx
* v = mx
* h = (h * ONE_360) + shift_ # <<<<<<<<<<<<<<
*
* if s == 0.0:
*/
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/* "hsv.pyx":320
* h = (h * ONE_360) + shift_
*
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* r, g, b = v, v, v
* ii = <int>(h * 6.0)
*/
__pyx_t_2 = ((__pyx_v_s == 0.0) != 0);
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/* "hsv.pyx":321
*
* if s == 0.0:
* r, g, b = v, v, v # <<<<<<<<<<<<<<
* ii = <int>(h * 6.0)
* f = (h * 6.0) - ii
*/
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__pyx_t_37 = __pyx_v_v;
__pyx_t_38 = __pyx_v_v;
__pyx_v_r = __pyx_t_36;
__pyx_v_g = __pyx_t_37;
__pyx_v_b = __pyx_t_38;
/* "hsv.pyx":320
* h = (h * ONE_360) + shift_
*
* if s == 0.0: # <<<<<<<<<<<<<<
* r, g, b = v, v, v
* ii = <int>(h * 6.0)
*/
}
/* "hsv.pyx":322
* if s == 0.0:
* r, g, b = v, v, v
* ii = <int>(h * 6.0) # <<<<<<<<<<<<<<
* f = (h * 6.0) - ii
* p = v*(1.0 - s)
*/
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/* "hsv.pyx":323
* r, g, b = v, v, v
* ii = <int>(h * 6.0)
* f = (h * 6.0) - ii # <<<<<<<<<<<<<<
* p = v*(1.0 - s)
* q = v*(1.0 - s * f)
*/
__pyx_v_f = ((__pyx_v_h * 6.0) - __pyx_v_ii);
/* "hsv.pyx":324
* ii = <int>(h * 6.0)
* f = (h * 6.0) - ii
* p = v*(1.0 - s) # <<<<<<<<<<<<<<
* q = v*(1.0 - s * f)
* t = v*(1.0 - s * (1.0 - f))
*/
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/* "hsv.pyx":325
* f = (h * 6.0) - ii
* p = v*(1.0 - s)
* q = v*(1.0 - s * f) # <<<<<<<<<<<<<<
* t = v*(1.0 - s * (1.0 - f))
* ii = ii % 6
*/
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/* "hsv.pyx":326
* p = v*(1.0 - s)
* q = v*(1.0 - s * f)
* t = v*(1.0 - s * (1.0 - f)) # <<<<<<<<<<<<<<
* ii = ii % 6
*
*/
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/* "hsv.pyx":327
* q = v*(1.0 - s * f)
* t = v*(1.0 - s * (1.0 - f))
* ii = ii % 6 # <<<<<<<<<<<<<<
*
* if ii == 0:
*/
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/* "hsv.pyx":329
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*
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* r, g, b = v, t, p
* if ii == 1:
*/
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/* "hsv.pyx":330
*
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* r, g, b = v, t, p # <<<<<<<<<<<<<<
* if ii == 1:
* r, g, b = q, v, p
*/
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__pyx_v_g = __pyx_t_37;
__pyx_v_b = __pyx_t_36;
/* "hsv.pyx":329
* ii = ii % 6
*
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* r, g, b = v, t, p
* if ii == 1:
*/
}
/* "hsv.pyx":331
* if ii == 0:
* r, g, b = v, t, p
* if ii == 1: # <<<<<<<<<<<<<<
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* if ii == 2:
*/
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/* "hsv.pyx":332
* r, g, b = v, t, p
* if ii == 1:
* r, g, b = q, v, p # <<<<<<<<<<<<<<
* if ii == 2:
* r, g, b = p, v, t
*/
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__pyx_t_37 = __pyx_v_v;
__pyx_t_38 = __pyx_v_p;
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__pyx_v_g = __pyx_t_37;
__pyx_v_b = __pyx_t_38;
/* "hsv.pyx":331
* if ii == 0:
* r, g, b = v, t, p
* if ii == 1: # <<<<<<<<<<<<<<
* r, g, b = q, v, p
* if ii == 2:
*/
}
/* "hsv.pyx":333
* if ii == 1:
* r, g, b = q, v, p
* if ii == 2: # <<<<<<<<<<<<<<
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* if ii == 3:
*/
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if (__pyx_t_2) {
/* "hsv.pyx":334
* r, g, b = q, v, p
* if ii == 2:
* r, g, b = p, v, t # <<<<<<<<<<<<<<
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* r, g, b = p, q, v
*/
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__pyx_t_37 = __pyx_v_v;
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__pyx_v_g = __pyx_t_37;
__pyx_v_b = __pyx_t_36;
/* "hsv.pyx":333
* if ii == 1:
* r, g, b = q, v, p
* if ii == 2: # <<<<<<<<<<<<<<
* r, g, b = p, v, t
* if ii == 3:
*/
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/* "hsv.pyx":335
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*/
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/* "hsv.pyx":336
* r, g, b = p, v, t
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*/
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__pyx_v_b = __pyx_t_38;
/* "hsv.pyx":335
* if ii == 2:
* r, g, b = p, v, t
* if ii == 3: # <<<<<<<<<<<<<<
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* if ii == 4:
*/
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/* "hsv.pyx":337
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*/
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/* "hsv.pyx":338
* r, g, b = p, q, v
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__pyx_v_b = __pyx_t_36;
/* "hsv.pyx":337
* if ii == 3:
* r, g, b = p, q, v
* if ii == 4: # <<<<<<<<<<<<<<
* r, g, b = t, p, v
* if ii == 5:
*/
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/* "hsv.pyx":339
* if ii == 4:
* r, g, b = t, p, v
* if ii == 5: # <<<<<<<<<<<<<<
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*
*/
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/* "hsv.pyx":340
* r, g, b = t, p, v
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*
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*/
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/* "hsv.pyx":339
* if ii == 4:
* r, g, b = t, p, v
* if ii == 5: # <<<<<<<<<<<<<<
* r, g, b = v, p, q
*
*/
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*
* new_array[j, i, 0], new_array[j, i, 1], \
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*
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*/
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/* "hsv.pyx":342
* r, g, b = v, p, q
*
* new_array[j, i, 0], new_array[j, i, 1], \ # <<<<<<<<<<<<<<
* new_array[j, i, 2] = <int>(r*255.0), <int>(g*255.0), <int>(b*255.0)
*
*/
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*
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*
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#if ((defined(__APPLE__) || defined(__OSX__)) && (defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))))
#undef likely
#undef unlikely
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#endif
}
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* float f, p, q, t, ii
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Py_BLOCK_THREADS
#endif
goto __pyx_L25;
}
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}
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*
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/* "hsv.pyx":443
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* _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<<
* else:
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 820, __pyx_L1_error)
/* "View.MemoryView":819
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
}
/* "View.MemoryView":815
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
goto __pyx_L3;
}
/* "View.MemoryView":823
* else:
*
* negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<<
*
* if have_step and step == 0:
*/
/*else*/ {
__pyx_t_1 = ((__pyx_v_have_step != 0) != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step < 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L6_bool_binop_done:;
__pyx_v_negative_step = __pyx_t_2;
/* "View.MemoryView":825
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
__pyx_t_1 = (__pyx_v_have_step != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L9_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step == 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L9_bool_binop_done:;
if (__pyx_t_2) {
/* "View.MemoryView":826
*
* if have_step and step == 0:
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 826, __pyx_L1_error)
/* "View.MemoryView":825
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
}
/* "View.MemoryView":829
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
__pyx_t_2 = (__pyx_v_have_start != 0);
if (__pyx_t_2) {
/* "View.MemoryView":830
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":831
* if have_start:
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if start < 0:
* start = 0
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":832
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":833
* start += shape
* if start < 0:
* start = 0 # <<<<<<<<<<<<<<
* elif start >= shape:
* if negative_step:
*/
__pyx_v_start = 0;
/* "View.MemoryView":832
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
}
/* "View.MemoryView":830
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
goto __pyx_L12;
}
/* "View.MemoryView":834
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
__pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":835
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":836
* elif start >= shape:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = shape
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":835
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L14;
}
/* "View.MemoryView":838
* start = shape - 1
* else:
* start = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
/*else*/ {
__pyx_v_start = __pyx_v_shape;
}
__pyx_L14:;
/* "View.MemoryView":834
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
}
__pyx_L12:;
/* "View.MemoryView":829
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
goto __pyx_L11;
}
/* "View.MemoryView":840
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":841
* else:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = 0
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":840
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L15;
}
/* "View.MemoryView":843
* start = shape - 1
* else:
* start = 0 # <<<<<<<<<<<<<<
*
* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
}
__pyx_L15:;
}
__pyx_L11:;
/* "View.MemoryView":845
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
__pyx_t_2 = (__pyx_v_have_stop != 0);
if (__pyx_t_2) {
/* "View.MemoryView":846
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":847
* if have_stop:
* if stop < 0:
* stop += shape # <<<<<<<<<<<<<<
* if stop < 0:
* stop = 0
*/
__pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);
/* "View.MemoryView":848
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":849
* stop += shape
* if stop < 0:
* stop = 0 # <<<<<<<<<<<<<<
* elif stop > shape:
* stop = shape
*/
__pyx_v_stop = 0;
/* "View.MemoryView":848
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
}
/* "View.MemoryView":846
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
goto __pyx_L17;
}
/* "View.MemoryView":850
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
__pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":851
* stop = 0
* elif stop > shape:
* stop = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
__pyx_v_stop = __pyx_v_shape;
/* "View.MemoryView":850
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
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__pyx_L17:;
/* "View.MemoryView":845
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
goto __pyx_L16;
}
/* "View.MemoryView":853
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":854
* else:
* if negative_step:
* stop = -1 # <<<<<<<<<<<<<<
* else:
* stop = shape
*/
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/* "View.MemoryView":853
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
goto __pyx_L19;
}
/* "View.MemoryView":856
* stop = -1
* else:
* stop = shape # <<<<<<<<<<<<<<
*
* if not have_step:
*/
/*else*/ {
__pyx_v_stop = __pyx_v_shape;
}
__pyx_L19:;
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__pyx_L16:;
/* "View.MemoryView":858
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
* step = 1
*
*/
__pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0);
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/* "View.MemoryView":859
*
* if not have_step:
* step = 1 # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_step = 1;
/* "View.MemoryView":858
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
* step = 1
*
*/
}
/* "View.MemoryView":863
*
* with cython.cdivision(True):
* new_shape = (stop - start) // step # <<<<<<<<<<<<<<
*
* if (stop - start) - step * new_shape:
*/
__pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);
/* "View.MemoryView":865
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*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
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if (__pyx_t_2) {
/* "View.MemoryView":866
*
* if (stop - start) - step * new_shape:
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*
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*/
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/* "View.MemoryView":865
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*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
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/* "View.MemoryView":868
* new_shape += 1
*
* if new_shape < 0: # <<<<<<<<<<<<<<
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*/
__pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);
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/* "View.MemoryView":869
*
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*
*/
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/* "View.MemoryView":868
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*/
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*
*
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*/
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/* "View.MemoryView":873
*
* dst.strides[new_ndim] = stride * step
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*
*/
(__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape;
/* "View.MemoryView":874
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape
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*
*
*/
(__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset;
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__pyx_L3:;
/* "View.MemoryView":877
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
__pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":878
*
* if suboffset_dim[0] < 0:
* dst.data += start * stride # <<<<<<<<<<<<<<
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride
*/
__pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride));
/* "View.MemoryView":877
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
goto __pyx_L23;
}
/* "View.MemoryView":880
* dst.data += start * stride
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<<
*
* if suboffset >= 0:
*/
/*else*/ {
__pyx_t_3 = (__pyx_v_suboffset_dim[0]);
(__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride));
}
__pyx_L23:;
/* "View.MemoryView":882
* dst.suboffsets[suboffset_dim[0]] += start * stride
*
* if suboffset >= 0: # <<<<<<<<<<<<<<
* if not is_slice:
* if new_ndim == 0:
*/
__pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":883
*
* if suboffset >= 0:
* if not is_slice: # <<<<<<<<<<<<<<
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset
*/
__pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":884
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
*/
__pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":885
* if not is_slice:
* if new_ndim == 0:
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* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d "
*/
__pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset);
/* "View.MemoryView":884
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
*/
goto __pyx_L26;
}
/* "View.MemoryView":887
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<<
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* else:
*/
/*else*/ {
/* "View.MemoryView":888
* else:
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*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 887, __pyx_L1_error)
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__pyx_L26:;
/* "View.MemoryView":883
*
* if suboffset >= 0:
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* if new_ndim == 0:
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*/
goto __pyx_L25;
}
/* "View.MemoryView":890
* "must be indexed and not sliced", dim)
* else:
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*
* return 0
*/
/*else*/ {
(__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim;
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__pyx_L25:;
/* "View.MemoryView":882
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*
* if suboffset >= 0: # <<<<<<<<<<<<<<
* if not is_slice:
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*/
}
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*
* return 0 # <<<<<<<<<<<<<<
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*
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goto __pyx_L0;
/* "View.MemoryView":795
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* @cname('__pyx_memoryview_slice_memviewslice')
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* __Pyx_memviewslice *dst,
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/* function exit code */
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PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
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__Pyx_PyGILState_Release(__pyx_gilstate_save);
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/* "View.MemoryView":898
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* cdef Py_ssize_t shape, stride, suboffset = -1
*/
static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, Py_ssize_t __pyx_v_dim) {
Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_stride;
Py_ssize_t __pyx_v_suboffset;
Py_ssize_t __pyx_v_itemsize;
char *__pyx_v_resultp;
char *__pyx_r;
__Pyx_RefNannyDeclarations
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
PyObject *__pyx_t_3 = NULL;
PyObject *__pyx_t_4 = NULL;
__Pyx_RefNannySetupContext("pybuffer_index", 0);
/* "View.MemoryView":900
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* cdef Py_ssize_t itemsize = view.itemsize
* cdef char *resultp
*/
__pyx_v_suboffset = -1L;
/* "View.MemoryView":901
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* cdef char *resultp
*
*/
__pyx_t_1 = __pyx_v_view->itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":904
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*
* if view.ndim == 0: # <<<<<<<<<<<<<<
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* stride = itemsize
*/
__pyx_t_2 = ((__pyx_v_view->ndim == 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":905
*
* if view.ndim == 0:
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if (unlikely(__pyx_v_itemsize == 0)) {
PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero");
__PYX_ERR(1, 905, __pyx_L1_error)
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PyErr_SetString(PyExc_OverflowError, "value too large to perform division");
__PYX_ERR(1, 905, __pyx_L1_error)
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* stride = itemsize # <<<<<<<<<<<<<<
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__pyx_v_stride = __pyx_v_itemsize;
/* "View.MemoryView":904
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* if view.ndim == 0: # <<<<<<<<<<<<<<
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goto __pyx_L3;
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/* "View.MemoryView":908
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/* "View.MemoryView":909
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__pyx_v_stride = (__pyx_v_view->strides[__pyx_v_dim]);
/* "View.MemoryView":910
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* if view.suboffsets != NULL: # <<<<<<<<<<<<<<
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*/
__pyx_t_2 = ((__pyx_v_view->suboffsets != NULL) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":911
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* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1138
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1139
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1138
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1140
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent));
/* "View.MemoryView":1138
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1142
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
__pyx_v_i = __pyx_t_5;
/* "View.MemoryView":1143
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize);
/* "View.MemoryView":1144
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
* else:
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1145
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L4:;
/* "View.MemoryView":1137
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
goto __pyx_L3;
}
/* "View.MemoryView":1147
* dst_data += dst_stride
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* _copy_strided_to_strided(src_data, src_strides + 1,
* dst_data, dst_strides + 1,
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
__pyx_v_i = __pyx_t_5;
/* "View.MemoryView":1148
* else:
* for i in range(dst_extent):
* _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<
* dst_data, dst_strides + 1,
* src_shape + 1, dst_shape + 1,
*/
_copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
/* "View.MemoryView":1152
* src_shape + 1, dst_shape + 1,
* ndim - 1, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1153
* ndim - 1, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L3:;
/* "View.MemoryView":1125
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
/* function exit code */
}
/* "View.MemoryView":1155
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1158
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1155
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1162
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
int __pyx_v_i;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1165
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
* cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1167
* cdef Py_ssize_t size = src.memview.view.itemsize
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* size *= src.shape[i]
*
*/
__pyx_t_2 = __pyx_v_ndim;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1168
*
* for i in range(ndim):
* size *= src.shape[i] # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i]));
}
/* "View.MemoryView":1170
* size *= src.shape[i]
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1162
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef int i
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1173
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1182
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
__pyx_t_1 = ((__pyx_v_order == 'F') != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1183
*
* if order == 'F':
* for idx in range(ndim): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride = stride * shape[idx]
*/
__pyx_t_2 = __pyx_v_ndim;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_idx = __pyx_t_3;
/* "View.MemoryView":1184
* if order == 'F':
* for idx in range(ndim):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride = stride * shape[idx]
* else:
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1185
* for idx in range(ndim):
* strides[idx] = stride
* stride = stride * shape[idx] # <<<<<<<<<<<<<<
* else:
* for idx in range(ndim - 1, -1, -1):
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
/* "View.MemoryView":1182
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
goto __pyx_L3;
}
/* "View.MemoryView":1187
* stride = stride * shape[idx]
* else:
* for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride = stride * shape[idx]
*/
/*else*/ {
for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1L; __pyx_t_2-=1) {
__pyx_v_idx = __pyx_t_2;
/* "View.MemoryView":1188
* else:
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride = stride * shape[idx]
*
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1189
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride
* stride = stride * shape[idx] # <<<<<<<<<<<<<<
*
* return stride
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
}
__pyx_L3:;
/* "View.MemoryView":1191
* stride = stride * shape[idx]
*
* return stride # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_copy_data_to_temp')
*/
__pyx_r = __pyx_v_stride;
goto __pyx_L0;
/* "View.MemoryView":1173
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1194
*
* @cname('__pyx_memoryview_copy_data_to_temp')
* cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *tmpslice,
* char order,
*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {
int __pyx_v_i;
void *__pyx_v_result;
size_t __pyx_v_itemsize;
size_t __pyx_v_size;
void *__pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
struct __pyx_memoryview_obj *__pyx_t_4;
int __pyx_t_5;
/* "View.MemoryView":1205
* cdef void *result
*
* cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<
* cdef size_t size = slice_get_size(src, ndim)
*
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1206
*
* cdef size_t itemsize = src.memview.view.itemsize
* cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<<
*
* result = malloc(size)
*/
__pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);
/* "View.MemoryView":1208
* cdef size_t size = slice_get_size(src, ndim)
*
* result = malloc(size) # <<<<<<<<<<<<<<
* if not result:
* _err(MemoryError, NULL)
*/
__pyx_v_result = malloc(__pyx_v_size);
/* "View.MemoryView":1209
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
__pyx_t_2 = ((!(__pyx_v_result != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1210
* result = malloc(size)
* if not result:
* _err(MemoryError, NULL) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 1210, __pyx_L1_error)
/* "View.MemoryView":1209
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
}
/* "View.MemoryView":1213
*
*
* tmpslice.data = <char *> result # <<<<<<<<<<<<<<
* tmpslice.memview = src.memview
* for i in range(ndim):
*/
__pyx_v_tmpslice->data = ((char *)__pyx_v_result);
/* "View.MemoryView":1214
*
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview # <<<<<<<<<<<<<<
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i]
*/
__pyx_t_4 = __pyx_v_src->memview;
__pyx_v_tmpslice->memview = __pyx_t_4;
/* "View.MemoryView":1215
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview
* for i in range(ndim): # <<<<<<<<<<<<<<
* tmpslice.shape[i] = src.shape[i]
* tmpslice.suboffsets[i] = -1
*/
__pyx_t_3 = __pyx_v_ndim;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) {
__pyx_v_i = __pyx_t_5;
/* "View.MemoryView":1216
* tmpslice.memview = src.memview
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<<
* tmpslice.suboffsets[i] = -1
*
*/
(__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]);
/* "View.MemoryView":1217
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i]
* tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<
*
* fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize,
*/
(__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L;
}
/* "View.MemoryView":1219
* tmpslice.suboffsets[i] = -1
*
* fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, # <<<<<<<<<<<<<<
* ndim, order)
*
*/
__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order);
/* "View.MemoryView":1223
*
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if tmpslice.shape[i] == 1:
* tmpslice.strides[i] = 0
*/
__pyx_t_3 = __pyx_v_ndim;
for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) {
__pyx_v_i = __pyx_t_5;
/* "View.MemoryView":1224
*
* for i in range(ndim):
* if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<<
* tmpslice.strides[i] = 0
*
*/
__pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1225
* for i in range(ndim):
* if tmpslice.shape[i] == 1:
* tmpslice.strides[i] = 0 # <<<<<<<<<<<<<<
*
* if slice_is_contig(src[0], order, ndim):
*/
(__pyx_v_tmpslice->strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1224
*
* for i in range(ndim):
* if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<<
* tmpslice.strides[i] = 0
*
*/
}
}
/* "View.MemoryView":1227
* tmpslice.strides[i] = 0
*
* if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<<
* memcpy(result, src.data, size)
* else:
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1228
*
* if slice_is_contig(src[0], order, ndim):
* memcpy(result, src.data, size) # <<<<<<<<<<<<<<
* else:
* copy_strided_to_strided(src, tmpslice, ndim, itemsize)
*/
memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size);
/* "View.MemoryView":1227
* tmpslice.strides[i] = 0
*
* if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<<
* memcpy(result, src.data, size)
* else:
*/
goto __pyx_L9;
}
/* "View.MemoryView":1230
* memcpy(result, src.data, size)
* else:
* copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<<
*
* return result
*/
/*else*/ {
copy_strided_to_strided(__pyx_v_src, __pyx_v_tmpslice, __pyx_v_ndim, __pyx_v_itemsize);
}
__pyx_L9:;
/* "View.MemoryView":1232
* copy_strided_to_strided(src, tmpslice, ndim, itemsize)
*
* return result # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = __pyx_v_result;
goto __pyx_L0;
/* "View.MemoryView":1194
*
* @cname('__pyx_memoryview_copy_data_to_temp')
* cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *tmpslice,
* char order,
*/
/* function exit code */
__pyx_L1_error:;
{
#ifdef WITH_THREAD
PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
#endif
__Pyx_AddTraceback("View.MemoryView.copy_data_to_temp", __pyx_clineno, __pyx_lineno, __pyx_filename);
#ifdef WITH_THREAD
__Pyx_PyGILState_Release(__pyx_gilstate_save);
#endif
}
__pyx_r = NULL;
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1237
*
* @cname('__pyx_memoryview_err_extents')
* cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<<
* Py_ssize_t extent2) except -1 with gil:
* raise ValueError("got differing extents in dimension %d (got %d and %d)" %
*/
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* if src.shape[i] == 1:
* broadcasting = True
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1279
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1280
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
* broadcasting = True # <<<<<<<<<<<<<<
* src.strides[i] = 0
* else:
*/
__pyx_v_broadcasting = 1;
/* "View.MemoryView":1281
* if src.shape[i] == 1:
* broadcasting = True
* src.strides[i] = 0 # <<<<<<<<<<<<<<
* else:
* _err_extents(i, dst.shape[i], src.shape[i])
*/
(__pyx_v_src.strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1279
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
goto __pyx_L7;
}
/* "View.MemoryView":1283
* src.strides[i] = 0
* else:
* _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<<
*
* if src.suboffsets[i] >= 0:
*/
/*else*/ {
__pyx_t_4 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1283, __pyx_L1_error)
}
__pyx_L7:;
/* "View.MemoryView":1278
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
}
/* "View.MemoryView":1285
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
__pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1286
*
* if src.suboffsets[i] >= 0:
* _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<<
*
* if slices_overlap(&src, &dst, ndim, itemsize):
*/
__pyx_t_4 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1286, __pyx_L1_error)
/* "View.MemoryView":1285
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
}
}
/* "View.MemoryView":1288
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
__pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1290
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
__pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1291
*
* if not slice_is_contig(src, order, ndim):
* order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<<
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
*/
__pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);
/* "View.MemoryView":1290
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
}
/* "View.MemoryView":1293
* order = get_best_order(&dst, ndim)
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<<
* src = tmp
*
*/
__pyx_t_6 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_6 == ((void *)NULL))) __PYX_ERR(1, 1293, __pyx_L1_error)
__pyx_v_tmpdata = __pyx_t_6;
/* "View.MemoryView":1294
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
* src = tmp # <<<<<<<<<<<<<<
*
* if not broadcasting:
*/
__pyx_v_src = __pyx_v_tmp;
/* "View.MemoryView":1288
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
}
/* "View.MemoryView":1296
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1299
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1300
*
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<<
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim)
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);
/* "View.MemoryView":1299
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
goto __pyx_L12;
}
/* "View.MemoryView":1301
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1302
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<<
*
* if direct_copy:
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);
/* "View.MemoryView":1301
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
}
__pyx_L12:;
/* "View.MemoryView":1304
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_2 = (__pyx_v_direct_copy != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1306
* if direct_copy:
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1307
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
*/
memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim));
/* "View.MemoryView":1308
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
* free(tmpdata)
* return 0
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1309
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1310
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* if order == 'F' == get_best_order(&dst, ndim):
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1304
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
}
/* "View.MemoryView":1296
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1312
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = (__pyx_v_order == 'F');
if (__pyx_t_2) {
__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
__pyx_t_7 = (__pyx_t_2 != 0);
if (__pyx_t_7) {
/* "View.MemoryView":1315
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
*
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1315, __pyx_L1_error)
/* "View.MemoryView":1316
*
* transpose_memslice(&src)
* transpose_memslice(&dst) # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1316, __pyx_L1_error)
/* "View.MemoryView":1312
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1318
* transpose_memslice(&dst)
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1319
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
*/
copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1320
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
*
* free(tmpdata)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1322
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1323
*
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_broadcast_leading')
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1254
*
* @cname('__pyx_memoryview_copy_contents')
* cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice dst,
* int src_ndim, int dst_ndim,
*/
/* function exit code */
__pyx_L1_error:;
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PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
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__Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__Pyx_PyGILState_Release(__pyx_gilstate_save);
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__pyx_L0:;
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/* "View.MemoryView":1326
*
* @cname('__pyx_memoryview_broadcast_leading')
* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
* int ndim_other) nogil:
*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) {
int __pyx_v_i;
int __pyx_v_offset;
int __pyx_t_1;
int __pyx_t_2;
/* "View.MemoryView":1330
* int ndim_other) nogil:
* cdef int i
* cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim);
/* "View.MemoryView":1332
* cdef int offset = ndim_other - ndim
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1L; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1333
*
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<<
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*/
(__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]);
/* "View.MemoryView":1334
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<<
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
*/
(__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1335
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<<
*
* for i in range(offset):
*/
(__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
}
/* "View.MemoryView":1337
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
* for i in range(offset): # <<<<<<<<<<<<<<
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0]
*/
__pyx_t_1 = __pyx_v_offset;
for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
__pyx_v_i = __pyx_t_2;
/* "View.MemoryView":1338
*
* for i in range(offset):
* mslice.shape[i] = 1 # <<<<<<<<<<<<<<
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1
*/
(__pyx_v_mslice->shape[__pyx_v_i]) = 1;
/* "View.MemoryView":1339
* for i in range(offset):
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<<
* mslice.suboffsets[i] = -1
*
*/
(__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);
/* "View.MemoryView":1340
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L;
}
/* "View.MemoryView":1326
*
* @cname('__pyx_memoryview_broadcast_leading')
* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
* int ndim_other) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1348
*
* @cname('__pyx_memoryview_refcount_copying')
* cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<<
* int ndim, bint inc) nogil:
*
*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) {
int __pyx_t_1;
/* "View.MemoryView":1352
*
*
* if dtype_is_object: # <<<<<<<<<<<<<<
* refcount_objects_in_slice_with_gil(dst.data, dst.shape,
* dst.strides, ndim, inc)
*/
__pyx_t_1 = (__pyx_v_dtype_is_object != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1353
*
* if dtype_is_object:
* refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<<
* dst.strides, ndim, inc)
*
*/
__pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc);
/* "View.MemoryView":1352
*
*
* if dtype_is_object: # <<<<<<<<<<<<<<
* refcount_objects_in_slice_with_gil(dst.data, dst.shape,
* dst.strides, ndim, inc)
*/
}
/* "View.MemoryView":1348
*
* @cname('__pyx_memoryview_refcount_copying')
* cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<<
* int ndim, bint inc) nogil:
*
*/
/* function exit code */
}
/* "View.MemoryView":1357
*
* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
* cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<<
* Py_ssize_t *strides, int ndim,
* bint inc) with gil:
*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) {
__Pyx_RefNannyDeclarations
#ifdef WITH_THREAD
PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
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__Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0);
/* "View.MemoryView":1360
* Py_ssize_t *strides, int ndim,
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* refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_refcount_objects_in_slice')
*/
__pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc);
/* "View.MemoryView":1357
*
* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
* cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<<
* Py_ssize_t *strides, int ndim,
* bint inc) with gil:
*/
/* function exit code */
__Pyx_RefNannyFinishContext();
#ifdef WITH_THREAD
__Pyx_PyGILState_Release(__pyx_gilstate_save);
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}
/* "View.MemoryView":1363
*
* @cname('__pyx_memoryview_refcount_objects_in_slice')
* cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<<
* Py_ssize_t *strides, int ndim, bint inc):
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#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
Py_CLEAR(p->name);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
if (p->name) {
e = (*v)(p->name, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_Enum(PyObject *o) {
PyObject* tmp;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
tmp = ((PyObject*)p->name);
p->name = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
return 0;
}
static PyMethodDef __pyx_methods_Enum[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_MemviewEnum = {
PyVarObject_HEAD_INIT(0, 0)
"HSV.Enum", /*tp_name*/
sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_Enum, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_MemviewEnum___repr__, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_Enum, /*tp_traverse*/
__pyx_tp_clear_Enum, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_Enum, /*tp_methods*/
0, /*tp_members*/
0, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
__pyx_MemviewEnum___init__, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_Enum, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
};
static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryview_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryview_obj *)o);
p->__pyx_vtab = __pyx_vtabptr_memoryview;
p->obj = Py_None; Py_INCREF(Py_None);
p->_size = Py_None; Py_INCREF(Py_None);
p->_array_interface = Py_None; Py_INCREF(Py_None);
p->view.obj = NULL;
if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;
return o;
bad:
Py_DECREF(o); o = 0;
return NULL;
}
static void __pyx_tp_dealloc_memoryview(PyObject *o) {
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_memoryview___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
if (p->obj) {
e = (*v)(p->obj, a); if (e) return e;
}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
e = (*v)(p->_array_interface, a); if (e) return e;
}
if (p->view.obj) {
e = (*v)(p->view.obj, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
tmp = ((PyObject*)p->obj);
p->obj = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_size);
p->_size = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_array_interface);
p->_array_interface = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
Py_CLEAR(p->view.obj);
return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
Py_DECREF(x);
return r;
}
static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_memoryview___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
"Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
return -1;
}
}
static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
{"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
{(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"HSV.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_memoryviewslice___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}
static PyMethodDef __pyx_methods__memoryviewslice[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_memoryviewslice = {
PyVarObject_HEAD_INIT(0, 0)
"HSV._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___repr__, /*tp_repr*/
#else
0, /*tp_repr*/
#endif
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
"Internal class for passing memoryview slices to Python", /*tp_doc*/
__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
__pyx_tp_clear__memoryviewslice, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods__memoryviewslice, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets__memoryviewslice, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new__memoryviewslice, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
};
static PyMethodDef __pyx_methods[] = {
{"hsv2rgb", (PyCFunction)__pyx_pw_3HSV_1hsv2rgb, METH_VARARGS|METH_KEYWORDS, 0},
{"rgb2hsv", (PyCFunction)__pyx_pw_3HSV_3rgb2hsv, METH_VARARGS|METH_KEYWORDS, 0},
{"rgb_to_hsv_c", (PyCFunction)__pyx_pw_3HSV_5rgb_to_hsv_c, METH_VARARGS|METH_KEYWORDS, 0},
{"hsv_to_rgb_c", (PyCFunction)__pyx_pw_3HSV_7hsv_to_rgb_c, METH_VARARGS|METH_KEYWORDS, 0},
{"struct_rgb_to_hsv_c", (PyCFunction)__pyx_pw_3HSV_9struct_rgb_to_hsv_c, METH_VARARGS|METH_KEYWORDS, 0},
{"struct_hsv_to_rgb_c", (PyCFunction)__pyx_pw_3HSV_11struct_hsv_to_rgb_c, METH_VARARGS|METH_KEYWORDS, 0},
{"hue_surface_24", (PyCFunction)__pyx_pw_3HSV_13hue_surface_24, METH_VARARGS|METH_KEYWORDS, 0},
{"hue_surface_32", (PyCFunction)__pyx_pw_3HSV_15hue_surface_32, METH_VARARGS|METH_KEYWORDS, 0},
{0, 0, 0, 0}
};
#if PY_MAJOR_VERSION >= 3
#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_HSV(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
{Py_mod_create, (void*)__pyx_pymod_create},
{Py_mod_exec, (void*)__pyx_pymod_exec_HSV},
{0, NULL}
};
#endif
static struct PyModuleDef __pyx_moduledef = {
PyModuleDef_HEAD_INIT,
"HSV",
0, /* m_doc */
#if CYTHON_PEP489_MULTI_PHASE_INIT
0, /* m_size */
#else
-1, /* m_size */
#endif
__pyx_methods /* m_methods */,
#if CYTHON_PEP489_MULTI_PHASE_INIT
__pyx_moduledef_slots, /* m_slots */
#else
NULL, /* m_reload */
#endif
NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
#endif
static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_ASCII, __pyx_k_ASCII, sizeof(__pyx_k_ASCII), 0, 0, 1, 1},
{&__pyx_n_s_BLEND_RGB_ADD, __pyx_k_BLEND_RGB_ADD, sizeof(__pyx_k_BLEND_RGB_ADD), 0, 0, 1, 1},
{&__pyx_n_s_BLEND_RGB_MAX, __pyx_k_BLEND_RGB_MAX, sizeof(__pyx_k_BLEND_RGB_MAX), 0, 0, 1, 1},
{&__pyx_n_s_BLEND_RGB_MULT, __pyx_k_BLEND_RGB_MULT, sizeof(__pyx_k_BLEND_RGB_MULT), 0, 0, 1, 1},
{&__pyx_kp_s_Buffer_view_does_not_expose_stri, __pyx_k_Buffer_view_does_not_expose_stri, sizeof(__pyx_k_Buffer_view_does_not_expose_stri), 0, 0, 1, 0},
{&__pyx_n_s_C, __pyx_k_C, sizeof(__pyx_k_C), 0, 0, 1, 1},
{&__pyx_kp_s_Can_only_create_a_buffer_that_is, __pyx_k_Can_only_create_a_buffer_that_is, sizeof(__pyx_k_Can_only_create_a_buffer_that_is), 0, 0, 1, 0},
{&__pyx_kp_s_Cannot_index_with_type_s, __pyx_k_Cannot_index_with_type_s, sizeof(__pyx_k_Cannot_index_with_type_s), 0, 0, 1, 0},
{&__pyx_n_s_Color, __pyx_k_Color, sizeof(__pyx_k_Color), 0, 0, 1, 1},
{&__pyx_kp_s_Compatible_only_for_32_bit_form, __pyx_k_Compatible_only_for_32_bit_form, sizeof(__pyx_k_Compatible_only_for_32_bit_form), 0, 0, 1, 0},
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__pyx_t_9[2] = PyThread_allocate_lock();
__pyx_t_9[3] = PyThread_allocate_lock();
__pyx_t_9[4] = PyThread_allocate_lock();
__pyx_t_9[5] = PyThread_allocate_lock();
__pyx_t_9[6] = PyThread_allocate_lock();
__pyx_t_9[7] = PyThread_allocate_lock();
memcpy(&(__pyx_memoryview_thread_locks[0]), __pyx_t_9, sizeof(__pyx_memoryview_thread_locks[0]) * (8));
/* "View.MemoryView":537
* info.obj = self
*
* __pyx_getbuffer = capsule(<void *> &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_5 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 537, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_5);
if (PyDict_SetItem((PyObject *)__pyx_memoryview_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_5) < 0) __PYX_ERR(1, 537, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
PyType_Modified(__pyx_memoryview_type);
/* "View.MemoryView":983
* return self.from_object
*
* __pyx_getbuffer = capsule(<void *> &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_5 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 983, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_5);
if (PyDict_SetItem((PyObject *)__pyx_memoryviewslice_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_5) < 0) __PYX_ERR(1, 983, __pyx_L1_error)
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PyType_Modified(__pyx_memoryviewslice_type);
/* "(tree fragment)":1
* def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<<
* if __pyx_checksum != 0xb068931:
* from pickle import PickleError as __pyx_PickleError
*/
__pyx_t_5 = PyCFunction_NewEx(&__pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum, NULL, __pyx_n_s_View_MemoryView); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 1, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_5);
if (PyDict_SetItem(__pyx_d, __pyx_n_s_pyx_unpickle_Enum, __pyx_t_5) < 0) __PYX_ERR(1, 1, __pyx_L1_error)
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
/* "(tree fragment)":9
* __pyx_unpickle_Enum__set_state(<Enum> __pyx_result, __pyx_state)
* return __pyx_result
* cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<<
* __pyx_result.name = __pyx_state[0]
* if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'):
*/
/*--- Wrapped vars code ---*/
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_4);
__Pyx_XDECREF(__pyx_t_5);
__Pyx_XDECREF(__pyx_t_7);
__Pyx_XDECREF(__pyx_t_8);
if (__pyx_m) {
if (__pyx_d) {
__Pyx_AddTraceback("init HSV", 0, __pyx_lineno, __pyx_filename);
}
Py_DECREF(__pyx_m); __pyx_m = 0;
} else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_ImportError, "init HSV");
}
__pyx_L0:;
__Pyx_RefNannyFinishContext();
#if CYTHON_PEP489_MULTI_PHASE_INIT
return (__pyx_m != NULL) ? 0 : -1;
#elif PY_MAJOR_VERSION >= 3
return __pyx_m;
#else
return;
#endif
}
/* --- Runtime support code --- */
/* Refnanny */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
PyObject *m = NULL, *p = NULL;
void *r = NULL;
m = PyImport_ImportModule((char *)modname);
if (!m) goto end;
p = PyObject_GetAttrString(m, (char *)"RefNannyAPI");
if (!p) goto end;
r = PyLong_AsVoidPtr(p);
end:
Py_XDECREF(p);
Py_XDECREF(m);
return (__Pyx_RefNannyAPIStruct *)r;
}
#endif
/* GetBuiltinName */
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
if (unlikely(!result)) {
PyErr_Format(PyExc_NameError,
#if PY_MAJOR_VERSION >= 3
"name '%U' is not defined", name);
#else
"name '%.200s' is not defined", PyString_AS_STRING(name));
#endif
}
return result;
}
/* RaiseArgTupleInvalid */
static void __Pyx_RaiseArgtupleInvalid(
const char* func_name,
int exact,
Py_ssize_t num_min,
Py_ssize_t num_max,
Py_ssize_t num_found)
{
Py_ssize_t num_expected;
const char *more_or_less;
if (num_found < num_min) {
num_expected = num_min;
more_or_less = "at least";
} else {
num_expected = num_max;
more_or_less = "at most";
}
if (exact) {
more_or_less = "exactly";
}
PyErr_Format(PyExc_TypeError,
"%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
func_name, more_or_less, num_expected,
(num_expected == 1) ? "" : "s", num_found);
}
/* RaiseDoubleKeywords */
static void __Pyx_RaiseDoubleKeywordsError(
const char* func_name,
PyObject* kw_name)
{
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION >= 3
"%s() got multiple values for keyword argument '%U'", func_name, kw_name);
#else
"%s() got multiple values for keyword argument '%s'", func_name,
PyString_AsString(kw_name));
#endif
}
/* ParseKeywords */
static int __Pyx_ParseOptionalKeywords(
PyObject *kwds,
PyObject **argnames[],
PyObject *kwds2,
PyObject *values[],
Py_ssize_t num_pos_args,
const char* function_name)
{
PyObject *key = 0, *value = 0;
Py_ssize_t pos = 0;
PyObject*** name;
PyObject*** first_kw_arg = argnames + num_pos_args;
while (PyDict_Next(kwds, &pos, &key, &value)) {
name = first_kw_arg;
while (*name && (**name != key)) name++;
if (*name) {
values[name-argnames] = value;
continue;
}
name = first_kw_arg;
#if PY_MAJOR_VERSION < 3
if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
while (*name) {
if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
&& _PyString_Eq(**name, key)) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
if ((**argname == key) || (
(CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
&& _PyString_Eq(**argname, key))) {
goto arg_passed_twice;
}
argname++;
}
}
} else
#endif
if (likely(PyUnicode_Check(key))) {
while (*name) {
int cmp = (**name == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**name, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
int cmp = (**argname == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**argname, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) goto arg_passed_twice;
argname++;
}
}
} else
goto invalid_keyword_type;
if (kwds2) {
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
} else {
goto invalid_keyword;
}
}
return 0;
arg_passed_twice:
__Pyx_RaiseDoubleKeywordsError(function_name, key);
goto bad;
invalid_keyword_type:
PyErr_Format(PyExc_TypeError,
"%.200s() keywords must be strings", function_name);
goto bad;
invalid_keyword:
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION < 3
"%.200s() got an unexpected keyword argument '%.200s'",
function_name, PyString_AsString(key));
#else
"%s() got an unexpected keyword argument '%U'",
function_name, key);
#endif
bad:
return -1;
}
/* None */
static CYTHON_INLINE long __Pyx_mod_long(long a, long b) {
long r = a % b;
r += ((r != 0) & ((r ^ b) < 0)) * b;
return r;
}
/* GetModuleGlobalName */
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
result = PyDict_GetItem(__pyx_d, name);
if (likely(result)) {
Py_INCREF(result);
} else {
#else
result = PyObject_GetItem(__pyx_d, name);
if (!result) {
PyErr_Clear();
#endif
result = __Pyx_GetBuiltinName(name);
}
return result;
}
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
#include "frameobject.h"
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = f->f_localsplus;
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = func->ob_type->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* PyObjectCallNoArg */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, NULL, 0);
}
#endif
#ifdef __Pyx_CyFunction_USED
if (likely(PyCFunction_Check(func) || __Pyx_TypeCheck(func, __pyx_CyFunctionType))) {
#else
if (likely(PyCFunction_Check(func))) {
#endif
if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
return __Pyx_PyObject_CallMethO(func, NULL);
}
}
return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
}
#endif
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* IterFinish */
static CYTHON_INLINE int __Pyx_IterFinish(void) {
#if CYTHON_FAST_THREAD_STATE
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* exc_type = tstate->curexc_type;
if (unlikely(exc_type)) {
if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) {
PyObject *exc_value, *exc_tb;
exc_value = tstate->curexc_value;
exc_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
Py_DECREF(exc_type);
Py_XDECREF(exc_value);
Py_XDECREF(exc_tb);
return 0;
} else {
return -1;
}
}
return 0;
#else
if (unlikely(PyErr_Occurred())) {
if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
PyErr_Clear();
return 0;
} else {
return -1;
}
}
return 0;
#endif
}
/* UnpackItemEndCheck */
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
if (unlikely(retval)) {
Py_DECREF(retval);
__Pyx_RaiseTooManyValuesError(expected);
return -1;
} else {
return __Pyx_IterFinish();
}
return 0;
}
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if PY_VERSION_HEX >= 0x030700A2
*type = tstate->exc_state.exc_type;
*value = tstate->exc_state.exc_value;
*tb = tstate->exc_state.exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if PY_VERSION_HEX >= 0x030700A2
tmp_type = tstate->exc_state.exc_type;
tmp_value = tstate->exc_state.exc_value;
tmp_tb = tstate->exc_state.exc_traceback;
tstate->exc_state.exc_type = type;
tstate->exc_state.exc_value = value;
tstate->exc_state.exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
#endif
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if PY_VERSION_HEX >= 0x030700A2
tmp_type = tstate->exc_state.exc_type;
tmp_value = tstate->exc_state.exc_value;
tmp_tb = tstate->exc_state.exc_traceback;
tstate->exc_state.exc_type = local_type;
tstate->exc_state.exc_value = local_value;
tstate->exc_state.exc_traceback = local_tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* PyErrFetchRestore */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
}
#endif
/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
__Pyx_PyThreadState_declare
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_PyThreadState_assign
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
int is_subclass = PyObject_IsSubclass(instance_class, type);
if (!is_subclass) {
instance_class = NULL;
} else if (unlikely(is_subclass == -1)) {
goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
/* MemviewSliceInit */
static int
__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference)
{
__Pyx_RefNannyDeclarations
int i, retval=-1;
Py_buffer *buf = &memview->view;
__Pyx_RefNannySetupContext("init_memviewslice", 0);
if (!buf) {
PyErr_SetString(PyExc_ValueError,
"buf is NULL.");
goto fail;
} else if (memviewslice->memview || memviewslice->data) {
PyErr_SetString(PyExc_ValueError,
"memviewslice is already initialized!");
goto fail;
}
if (buf->strides) {
for (i = 0; i < ndim; i++) {
memviewslice->strides[i] = buf->strides[i];
}
} else {
Py_ssize_t stride = buf->itemsize;
for (i = ndim - 1; i >= 0; i--) {
memviewslice->strides[i] = stride;
stride *= buf->shape[i];
}
}
for (i = 0; i < ndim; i++) {
memviewslice->shape[i] = buf->shape[i];
if (buf->suboffsets) {
memviewslice->suboffsets[i] = buf->suboffsets[i];
} else {
memviewslice->suboffsets[i] = -1;
}
}
memviewslice->memview = memview;
memviewslice->data = (char *)buf->buf;
if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {
Py_INCREF(memview);
}
retval = 0;
goto no_fail;
fail:
memviewslice->memview = 0;
memviewslice->data = 0;
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
#ifndef Py_NO_RETURN
#define Py_NO_RETURN
#endif
static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN {
va_list vargs;
char msg[200];
#ifdef HAVE_STDARG_PROTOTYPES
va_start(vargs, fmt);
#else
va_start(vargs);
#endif
vsnprintf(msg, 200, fmt, vargs);
va_end(vargs);
Py_FatalError(msg);
}
static CYTHON_INLINE int
__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)++;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE int
__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)--;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE void
__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)
{
int first_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (!memview || (PyObject *) memview == Py_None)
return;
if (__pyx_get_slice_count(memview) < 0)
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
first_time = __pyx_add_acquisition_count(memview) == 0;
if (first_time) {
if (have_gil) {
Py_INCREF((PyObject *) memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_INCREF((PyObject *) memview);
PyGILState_Release(_gilstate);
}
}
}
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,
int have_gil, int lineno) {
int last_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (!memview ) {
return;
} else if ((PyObject *) memview == Py_None) {
memslice->memview = NULL;
return;
}
if (__pyx_get_slice_count(memview) <= 0)
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
last_time = __pyx_sub_acquisition_count(memview) == 1;
memslice->data = NULL;
if (last_time) {
if (have_gil) {
Py_CLEAR(memslice->memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_CLEAR(memslice->memview);
PyGILState_Release(_gilstate);
}
} else {
memslice->memview = NULL;
}
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* SliceObject */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj,
Py_ssize_t cstart, Py_ssize_t cstop,
PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,
int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) {
#if CYTHON_USE_TYPE_SLOTS
PyMappingMethods* mp;
#if PY_MAJOR_VERSION < 3
PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence;
if (likely(ms && ms->sq_slice)) {
if (!has_cstart) {
if (_py_start && (*_py_start != Py_None)) {
cstart = __Pyx_PyIndex_AsSsize_t(*_py_start);
if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
} else
cstart = 0;
}
if (!has_cstop) {
if (_py_stop && (*_py_stop != Py_None)) {
cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop);
if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
} else
cstop = PY_SSIZE_T_MAX;
}
if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) {
Py_ssize_t l = ms->sq_length(obj);
if (likely(l >= 0)) {
if (cstop < 0) {
cstop += l;
if (cstop < 0) cstop = 0;
}
if (cstart < 0) {
cstart += l;
if (cstart < 0) cstart = 0;
}
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
goto bad;
PyErr_Clear();
}
}
return ms->sq_slice(obj, cstart, cstop);
}
#endif
mp = Py_TYPE(obj)->tp_as_mapping;
if (likely(mp && mp->mp_subscript))
#endif
{
PyObject* result;
PyObject *py_slice, *py_start, *py_stop;
if (_py_slice) {
py_slice = *_py_slice;
} else {
PyObject* owned_start = NULL;
PyObject* owned_stop = NULL;
if (_py_start) {
py_start = *_py_start;
} else {
if (has_cstart) {
owned_start = py_start = PyInt_FromSsize_t(cstart);
if (unlikely(!py_start)) goto bad;
} else
py_start = Py_None;
}
if (_py_stop) {
py_stop = *_py_stop;
} else {
if (has_cstop) {
owned_stop = py_stop = PyInt_FromSsize_t(cstop);
if (unlikely(!py_stop)) {
Py_XDECREF(owned_start);
goto bad;
}
} else
py_stop = Py_None;
}
py_slice = PySlice_New(py_start, py_stop, Py_None);
Py_XDECREF(owned_start);
Py_XDECREF(owned_stop);
if (unlikely(!py_slice)) goto bad;
}
#if CYTHON_USE_TYPE_SLOTS
result = mp->mp_subscript(obj, py_slice);
#else
result = PyObject_GetItem(obj, py_slice);
#endif
if (!_py_slice) {
Py_DECREF(py_slice);
}
return result;
}
PyErr_Format(PyExc_TypeError,
"'%.200s' object is unsliceable", Py_TYPE(obj)->tp_name);
bad:
return NULL;
}
/* ArgTypeTest */
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
{
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
else if (exact) {
#if PY_MAJOR_VERSION == 2
if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
#endif
}
else {
if (likely(__Pyx_TypeCheck(obj, type))) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* None */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) {
Py_ssize_t q = a / b;
Py_ssize_t r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
length = stop - start;
if (unlikely(length <= 0))
return PyUnicode_FromUnicode(NULL, 0);
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if PY_VERSION_HEX >= 0x030700A2
tmp_type = tstate->exc_state.exc_type;
tmp_value = tstate->exc_state.exc_value;
tmp_tb = tstate->exc_state.exc_traceback;
tstate->exc_state.exc_type = *type;
tstate->exc_state.exc_value = *value;
tstate->exc_state.exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if (strchr(__Pyx_MODULE_NAME, '.')) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
/* None */
static CYTHON_INLINE long __Pyx_div_long(long a, long b) {
long q = a / b;
long r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* WriteUnraisableException */
static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno,
CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename,
int full_traceback, CYTHON_UNUSED int nogil) {
PyObject *old_exc, *old_val, *old_tb;
PyObject *ctx;
__Pyx_PyThreadState_declare
#ifdef WITH_THREAD
PyGILState_STATE state;
if (nogil)
state = PyGILState_Ensure();
#ifdef _MSC_VER
else state = (PyGILState_STATE)-1;
#endif
#endif
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&old_exc, &old_val, &old_tb);
if (full_traceback) {
Py_XINCREF(old_exc);
Py_XINCREF(old_val);
Py_XINCREF(old_tb);
__Pyx_ErrRestore(old_exc, old_val, old_tb);
PyErr_PrintEx(1);
}
#if PY_MAJOR_VERSION < 3
ctx = PyString_FromString(name);
#else
ctx = PyUnicode_FromString(name);
#endif
__Pyx_ErrRestore(old_exc, old_val, old_tb);
if (!ctx) {
PyErr_WriteUnraisable(Py_None);
} else {
PyErr_WriteUnraisable(ctx);
Py_DECREF(ctx);
}
#ifdef WITH_THREAD
if (nogil)
PyGILState_Release(state);
#endif
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* SetupReduce */
static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
int ret;
PyObject *name_attr;
name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
if (likely(name_attr)) {
ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
} else {
ret = -1;
}
if (unlikely(ret < 0)) {
PyErr_Clear();
ret = 0;
}
Py_XDECREF(name_attr);
return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
int ret = 0;
PyObject *object_reduce = NULL;
PyObject *object_reduce_ex = NULL;
PyObject *reduce = NULL;
PyObject *reduce_ex = NULL;
PyObject *reduce_cython = NULL;
PyObject *setstate = NULL;
PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto BAD;
if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto BAD;
setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
if (!setstate) PyErr_Clear();
if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
setstate_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto BAD;
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto GOOD;
BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
use_cline = PyDict_GetItem(*cython_runtime_dict, __pyx_n_s_cline_in_traceback);
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (PyObject_Not(use_cline) != 0) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* Print */
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION < 3
static PyObject *__Pyx_GetStdout(void) {
PyObject *f = PySys_GetObject((char *)"stdout");
if (!f) {
PyErr_SetString(PyExc_RuntimeError, "lost sys.stdout");
}
return f;
}
static int __Pyx_Print(PyObject* f, PyObject *arg_tuple, int newline) {
int i;
if (!f) {
if (!(f = __Pyx_GetStdout()))
return -1;
}
Py_INCREF(f);
for (i=0; i < PyTuple_GET_SIZE(arg_tuple); i++) {
PyObject* v;
if (PyFile_SoftSpace(f, 1)) {
if (PyFile_WriteString(" ", f) < 0)
goto error;
}
v = PyTuple_GET_ITEM(arg_tuple, i);
if (PyFile_WriteObject(v, f, Py_PRINT_RAW) < 0)
goto error;
if (PyString_Check(v)) {
char *s = PyString_AsString(v);
Py_ssize_t len = PyString_Size(v);
if (len > 0) {
switch (s[len-1]) {
case ' ': break;
case '\f': case '\r': case '\n': case '\t': case '\v':
PyFile_SoftSpace(f, 0);
break;
default: break;
}
}
}
}
if (newline) {
if (PyFile_WriteString("\n", f) < 0)
goto error;
PyFile_SoftSpace(f, 0);
}
Py_DECREF(f);
return 0;
error:
Py_DECREF(f);
return -1;
}
#else
static int __Pyx_Print(PyObject* stream, PyObject *arg_tuple, int newline) {
PyObject* kwargs = 0;
PyObject* result = 0;
PyObject* end_string;
if (unlikely(!__pyx_print)) {
__pyx_print = PyObject_GetAttr(__pyx_b, __pyx_n_s_print);
if (!__pyx_print)
return -1;
}
if (stream) {
kwargs = PyDict_New();
if (unlikely(!kwargs))
return -1;
if (unlikely(PyDict_SetItem(kwargs, __pyx_n_s_file, stream) < 0))
goto bad;
if (!newline) {
end_string = PyUnicode_FromStringAndSize(" ", 1);
if (unlikely(!end_string))
goto bad;
if (PyDict_SetItem(kwargs, __pyx_n_s_end, end_string) < 0) {
Py_DECREF(end_string);
goto bad;
}
Py_DECREF(end_string);
}
} else if (!newline) {
if (unlikely(!__pyx_print_kwargs)) {
__pyx_print_kwargs = PyDict_New();
if (unlikely(!__pyx_print_kwargs))
return -1;
end_string = PyUnicode_FromStringAndSize(" ", 1);
if (unlikely(!end_string))
return -1;
if (PyDict_SetItem(__pyx_print_kwargs, __pyx_n_s_end, end_string) < 0) {
Py_DECREF(end_string);
return -1;
}
Py_DECREF(end_string);
}
kwargs = __pyx_print_kwargs;
}
result = PyObject_Call(__pyx_print, arg_tuple, kwargs);
if (unlikely(kwargs) && (kwargs != __pyx_print_kwargs))
Py_DECREF(kwargs);
if (!result)
return -1;
Py_DECREF(result);
return 0;
bad:
if (kwargs != __pyx_print_kwargs)
Py_XDECREF(kwargs);
return -1;
}
#endif
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) -1, const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_char(unsigned char value) {
const unsigned char neg_one = (unsigned char) -1, const_zero = (unsigned char) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(unsigned char) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(unsigned char) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(unsigned char) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(unsigned char) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(unsigned char) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(unsigned char),
little, !is_unsigned);
}
}
/* MemviewDtypeToObject */
static CYTHON_INLINE PyObject *__pyx_memview_get_unsigned_char(const char *itemp) {
return (PyObject *) __Pyx_PyInt_From_unsigned_char(*(unsigned char *) itemp);
}
static CYTHON_INLINE int __pyx_memview_set_unsigned_char(const char *itemp, PyObject *obj) {
unsigned char value = __Pyx_PyInt_As_unsigned_char(obj);
if ((value == (unsigned char)-1) && PyErr_Occurred())
return 0;
*(unsigned char *) itemp = value;
return 1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) -1, const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (from_mvs->suboffsets[i] >= 0) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* PrintOne */
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION < 3
static int __Pyx_PrintOne(PyObject* f, PyObject *o) {
if (!f) {
if (!(f = __Pyx_GetStdout()))
return -1;
}
Py_INCREF(f);
if (PyFile_SoftSpace(f, 0)) {
if (PyFile_WriteString(" ", f) < 0)
goto error;
}
if (PyFile_WriteObject(o, f, Py_PRINT_RAW) < 0)
goto error;
if (PyFile_WriteString("\n", f) < 0)
goto error;
Py_DECREF(f);
return 0;
error:
Py_DECREF(f);
return -1;
/* the line below is just to avoid C compiler
* warnings about unused functions */
return __Pyx_Print(f, NULL, 0);
}
#else
static int __Pyx_PrintOne(PyObject* stream, PyObject *o) {
int res;
PyObject* arg_tuple = PyTuple_Pack(1, o);
if (unlikely(!arg_tuple))
return -1;
res = __Pyx_Print(stream, arg_tuple, 1);
Py_DECREF(arg_tuple);
return res;
}
#endif
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) -1, const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntFromPy */
static CYTHON_INLINE unsigned char __Pyx_PyInt_As_unsigned_char(PyObject *x) {
const unsigned char neg_one = (unsigned char) -1, const_zero = (unsigned char) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(unsigned char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(unsigned char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (unsigned char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (unsigned char) 0;
case 1: __PYX_VERIFY_RETURN_INT(unsigned char, digit, digits[0])
case 2:
if (8 * sizeof(unsigned char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) >= 2 * PyLong_SHIFT) {
return (unsigned char) (((((unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(unsigned char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) >= 3 * PyLong_SHIFT) {
return (unsigned char) (((((((unsigned char)digits[2]) << PyLong_SHIFT) | (unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(unsigned char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) >= 4 * PyLong_SHIFT) {
return (unsigned char) (((((((((unsigned char)digits[3]) << PyLong_SHIFT) | (unsigned char)digits[2]) << PyLong_SHIFT) | (unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (unsigned char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(unsigned char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(unsigned char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(unsigned char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(unsigned char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (unsigned char) 0;
case -1: __PYX_VERIFY_RETURN_INT(unsigned char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(unsigned char, digit, +digits[0])
case -2:
if (8 * sizeof(unsigned char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) - 1 > 2 * PyLong_SHIFT) {
return (unsigned char) (((unsigned char)-1)*(((((unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(unsigned char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) - 1 > 2 * PyLong_SHIFT) {
return (unsigned char) ((((((unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(unsigned char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) - 1 > 3 * PyLong_SHIFT) {
return (unsigned char) (((unsigned char)-1)*(((((((unsigned char)digits[2]) << PyLong_SHIFT) | (unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(unsigned char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) - 1 > 3 * PyLong_SHIFT) {
return (unsigned char) ((((((((unsigned char)digits[2]) << PyLong_SHIFT) | (unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(unsigned char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) - 1 > 4 * PyLong_SHIFT) {
return (unsigned char) (((unsigned char)-1)*(((((((((unsigned char)digits[3]) << PyLong_SHIFT) | (unsigned char)digits[2]) << PyLong_SHIFT) | (unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(unsigned char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(unsigned char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(unsigned char) - 1 > 4 * PyLong_SHIFT) {
return (unsigned char) ((((((((((unsigned char)digits[3]) << PyLong_SHIFT) | (unsigned char)digits[2]) << PyLong_SHIFT) | (unsigned char)digits[1]) << PyLong_SHIFT) | (unsigned char)digits[0])));
}
}
break;
}
#endif
if (sizeof(unsigned char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(unsigned char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(unsigned char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(unsigned char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
unsigned char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (unsigned char) -1;
}
} else {
unsigned char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (unsigned char) -1;
val = __Pyx_PyInt_As_unsigned_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to unsigned char");
return (unsigned char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned char");
return (unsigned char) -1;
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) -1, const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
const char neg_one = (char) -1, const_zero = (char) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t < '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number;
int ndim = ctx->head->field->type->ndim;
;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
ctx->enc_packmode == ctx->new_packmode) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (buf->strides[dim] != sizeof(void *)) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (buf->strides[dim] != buf->itemsize) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (stride < buf->itemsize) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (spec & (__Pyx_MEMVIEW_PTR)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (buf->suboffsets) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (buf->suboffsets && buf->suboffsets[dim] >= 0) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
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static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (stride * buf->itemsize != buf->strides[i] &&
buf->shape[i] > 1)
{
PyErr_SetString(PyExc_ValueError,
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goto fail;
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stride = stride * buf->shape[i];
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Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (stride * buf->itemsize != buf->strides[i] &&
buf->shape[i] > 1) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
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return 1;
fail:
return 0;
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static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (buf->ndim != ndim) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned) buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
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for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (!__pyx_check_strides(buf, i, ndim, spec))
goto fail;
if (!__pyx_check_suboffsets(buf, i, ndim, spec))
goto fail;
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if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
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retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
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/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_unsigned_char(PyObject *obj) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS, 3,
&__Pyx_TypeInfo_unsigned_char, stack,
&result, obj);
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__pyx_fail:
result.memview = NULL;
result.data = NULL;
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/* ObjectToMemviewSlice */
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__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
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result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
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retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
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return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
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/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_unsigned_char(PyObject *obj) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS, 2,
&__Pyx_TypeInfo_unsigned_char, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
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/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
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return 0;
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/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
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*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
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} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
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if (!*t->p)
return -1;
if (PyObject_Hash(*t->p) == -1)
PyErr_Clear();
++t;
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return 0;
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static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
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static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
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char* c;
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PyUnicode_AsASCIIString(o);
return NULL;
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return defenc_c;
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#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
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return PyUnicode_AsUTF8(o);
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PyUnicode_AsASCIIString(o);
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#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
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PyUnicode_Check(o)) {
return __Pyx_PyUnicode_AsStringAndSize(o, length);
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int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
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static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
if (PyLong_Check(result)) {
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
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"is deprecated, and may be removed in a future version of Python.",
Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
return NULL;
}
return result;
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#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
return NULL;
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static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
#endif
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
if (likely(PyLong_Check(x)))
#endif
return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = m->nb_int(x);
}
else if (m && m->nb_long) {
name = "long";
res = m->nb_long(x);
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name = "int";
res = m->nb_int(x);
}
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#else
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
res = PyNumber_Int(x);
}
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if (likely(res)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
if (unlikely(!PyLong_CheckExact(res))) {
#endif
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
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Py_ssize_t ival;
PyObject *x;
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if (likely(PyInt_CheckExact(b))) {
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if (likely(PyLong_CheckExact(b))) {
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if (size == -1) ival = -ival;
return ival;
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break;
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break;
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break;
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if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
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break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
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break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
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}
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return PyLong_AsSsize_t(b);
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x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
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static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
evaluation.h | #pragma once
#include <random>
#include <algorithm>
#include <gms/representations/sets/roaring_set.h>
#include <gms/algorithms/set_based/vertex_similarity/vertex_similarity.h>
#include "undirected_edge.h"
#include "link_prediction.h"
#include "edge_sampler.h"
#include <gms/third_party/fast_statistics.h>
#include <omp.h>
/// Implementation for evaluation of link prediction.
namespace GMS::LinkPrediction {
template <class SGraph>
void add_undirected_edge(SGraph &g, NodeId u, NodeId v)
{
g.out_neigh(u).add(v);
g.out_neigh(v).add(u);
}
template <class SGraph>
void remove_undirected_edge(SGraph &g, NodeId u, NodeId v)
{
g.out_neigh(u).remove(v);
g.out_neigh(v).remove(u);
}
template <class SGraph>
void extract_random_test_edges(SGraph &g_train, SGraph &g_test, int64_t test_edges_required) {
assert(count_undirected_edges(g_test) == 0);
assert(count_undirected_edges(g_train) >= test_edges_required);
EdgeSampler sampler(g_train);
FastStatistics::WyRandRng rng(0);
auto remove_test_edges = [&](){
// Remove the test edges from the train graph.
// Note that we do this in two steps for now since otherwise EdgeSampler would be invalidated.
int64_t num_nodes = g_train.num_nodes();
for (NodeId u = 0; u < num_nodes; ++u) {
for (NodeId v : g_test.out_neigh(u)) {
remove_undirected_edge(g_train, u, v);
}
}
};
int64_t num_edges = 0;
#ifndef NDEBUG
int accepted = 0;
#endif
int rejections = 0;
while (num_edges < test_edges_required) {
UndirectedEdge edge = sampler.sample(rng);
if (!g_test.out_neigh(edge.first).contains(edge.second)) {
add_undirected_edge(g_test, edge.first, edge.second);
++num_edges;
#ifndef NDEBUG
++accepted;
#endif
} else {
++rejections;
}
if (rejections > 100) {
remove_test_edges();
sampler.rebuild();
rejections = 0;
}
/*
#ifndef NDEBUG
if (num_edges % 32 == 0) {
std::cout << "sampled " << num_edges << "/" << test_edges_required << std::endl;
std::cout << " acc " << accepted << ", rej " << rejections << "\n";
}
#endif
*/
}
remove_test_edges();
}
struct LinkPredictionScore {
double precision;
double recall;
};
/**
* Compute precision and recall scores for a number of predicted links given the true link information.
*
* @tparam EdgeSet implements Set interface, but type is an UndirectedEdge (i.e. usually SortedSetBase<UndirectedEdge>)
* @tparam SGraph
* @param e_predicted the predicted edges
* @param g_true the true link graph
* @return
*/
template <class EdgeSet, class SGraph>
LinkPredictionScore score_link_prediction_precision(const EdgeSet &e_predicted, const SGraph &g_true) {
int64_t true_positives = 0;
int64_t true_count = 0;
#pragma omp parallel for reduction(+: true_positives, true_count)
for (NodeId u = 0; u < g_true.num_nodes(); ++u) {
for (NodeId v : g_true.out_neigh(u)) {
if (u < v) {
UndirectedEdge edge(u, v);
if (e_predicted.contains(edge)) {
++true_positives;
}
++true_count;
}
}
}
LinkPredictionScore score;
// Precision = TP / (TP + FP)
score.precision = double(true_positives) / double(e_predicted.cardinality());
// Recall = TP / P
score.recall = double(true_positives) / double(true_count);
return score;
}
/**
* Compute AUC scores by sampling true and false edges, and computing similarity values on the fly.
*
* @tparam SimilarityMeasure
* @tparam SGraph
* @param g_true the true input graph, containing all edges
* @param g_train the input graph whose information is allowed to be used for training
* @param g_test the input graph on which the predictions are evaluated
* @param num_trials the fixed number of samples to be taken, currently there is no way to adaptively tune this
* @return
*/
template <VertexSim::Metric SimilarityMeasure, class SGraph>
double score_link_prediction_auc(const SGraph &g_true, const SGraph &g_train, const SGraph &g_test, const int64_t num_trials)
{
double higher_score = 0;
double equal_score = 0;
EdgeSampler true_sampler(g_true, false, true);
EdgeSampler test_sampler(g_test, true, false);
#pragma omp parallel
{
FastStatistics::WyRandRng rng(omp_get_thread_num());
#pragma omp for reduction(+:higher_score) reduction(+:equal_score)
for (int64_t i = 0; i < num_trials; ++i) {
// Sample a true and a false edge.
UndirectedEdge true_edge = test_sampler.sample(rng);
UndirectedEdge false_edge;
do {
false_edge = true_sampler.sample_complement(rng);
// Repeat until we find a complement edge of g_test which isn't an actual true edge which was removed
// for train/test split.
} while (g_test.out_neigh(false_edge.first).contains(false_edge.second));
// Score the edges.
double score_t = VertexSim::vertex_similarity<SimilarityMeasure>(true_edge.first, true_edge.second, g_train);
double score_f = VertexSim::vertex_similarity<SimilarityMeasure>(false_edge.first, false_edge.second, g_train);
if (score_t > score_f) {
higher_score += 1.0;
} else if (score_t == score_f) {
equal_score += 1.0;
}
}
}
return (higher_score + 0.5 * equal_score) / double(num_trials);
}
/**
* Randomly add some false links to a graph by replacing true links by false links.
*
* @tparam SGraph
* @param train_graph output graph
* @param mutations the number of mutations to be made
* @param test_graph edges contained in this are actually true edges, thus they are skipped while sampling
*/
template <class SGraph>
void add_false_links(SGraph &train_graph, int64_t mutations, const SGraph &test_graph) {
FastStatistics::WyRandRng rng(42);
EdgeSampler sampler(train_graph);
for (int64_t i = 0; i < mutations; ++i) {
UndirectedEdge edge_remove = sampler.sample(rng);
UndirectedEdge edge_create;
do {
edge_create = sampler.sample_complement(rng);
} while (test_graph.out_neigh(edge_create.first).contains(edge_create.second));
// perform the mutation
remove_undirected_edge(train_graph, edge_remove.first, edge_remove.second);
add_undirected_edge(train_graph, edge_create.first, edge_create.second);
sampler.rebuild();
}
}
} |
GB_unaryop__identity_fp64_bool.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__identity_fp64_bool
// op(A') function: GB_tran__identity_fp64_bool
// C type: double
// A type: bool
// cast: double cij = (double) aij
// unaryop: cij = aij
#define GB_ATYPE \
bool
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, aij) \
double z = (double) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FP64 || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_fp64_bool
(
double *Cx, // Cx and Ax may be aliased
bool *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_fp64_bool
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
tune_so4.c | #define _POSIX_C_SOURCE 200809L
#include "stdlib.h"
#include "math.h"
#include "sys/time.h"
#include "xmmintrin.h"
#include "pmmintrin.h"
#include <stdio.h>
#include "omp.h"
#define min(a, b) (((a) < (b)) ? (a) : (b))
#define max(a, b) (((a) > (b)) ? (a) : (b))
struct dataobj
{
void *restrict data;
int *size;
int *npsize;
int *dsize;
int *hsize;
int *hofs;
int *oofs;
};
struct profiler
{
double section0;
};
int Kernel(struct dataobj *restrict block_sizes_vec, const float h_x, const float h_y, const float h_z, struct dataobj *restrict nnz_sp_source_mask_vec, struct dataobj *restrict save_src_fxx_vec, struct dataobj *restrict save_src_fyy_vec, struct dataobj *restrict save_src_fzz_vec, struct dataobj *restrict source_id_vec, struct dataobj *restrict source_mask_vec, struct dataobj *restrict sp_source_mask_vec, struct dataobj *restrict tau_sol_xx_vec, struct dataobj *restrict tau_sol_xy_vec, struct dataobj *restrict tau_sol_xz_vec, struct dataobj *restrict tau_sol_yy_vec, struct dataobj *restrict tau_sol_yz_vec, struct dataobj *restrict tau_sol_zz_vec, struct dataobj *restrict v_sol_x_vec, struct dataobj *restrict v_sol_y_vec, struct dataobj *restrict v_sol_z_vec, const int sp_zi_m, const int time_M, const int time_m, struct profiler *timers, const int x_M, const int x_m, const int y_M, const int y_m, const int z_M, const int z_m, const int nthreads, const int nthreads_nonaffine)
{
int(*restrict block_sizes) __attribute__((aligned(64))) = (int(*))block_sizes_vec->data;
int(*restrict nnz_sp_source_mask)[nnz_sp_source_mask_vec->size[1]] __attribute__((aligned(64))) = (int(*)[nnz_sp_source_mask_vec->size[1]])nnz_sp_source_mask_vec->data;
float(*restrict save_src_fxx)[save_src_fxx_vec->size[1]] __attribute__((aligned(64))) = (float(*)[save_src_fxx_vec->size[1]])save_src_fxx_vec->data;
float(*restrict save_src_fyy)[save_src_fyy_vec->size[1]] __attribute__((aligned(64))) = (float(*)[save_src_fyy_vec->size[1]])save_src_fyy_vec->data;
float(*restrict save_src_fzz)[save_src_fzz_vec->size[1]] __attribute__((aligned(64))) = (float(*)[save_src_fzz_vec->size[1]])save_src_fzz_vec->data;
int(*restrict source_id)[source_id_vec->size[1]][source_id_vec->size[2]] __attribute__((aligned(64))) = (int(*)[source_id_vec->size[1]][source_id_vec->size[2]])source_id_vec->data;
int(*restrict source_mask)[source_mask_vec->size[1]][source_mask_vec->size[2]] __attribute__((aligned(64))) = (int(*)[source_mask_vec->size[1]][source_mask_vec->size[2]])source_mask_vec->data;
int(*restrict sp_source_mask)[sp_source_mask_vec->size[1]][sp_source_mask_vec->size[2]] __attribute__((aligned(64))) = (int(*)[sp_source_mask_vec->size[1]][sp_source_mask_vec->size[2]])sp_source_mask_vec->data;
float(*restrict tau_sol_xx)[tau_sol_xx_vec->size[1]][tau_sol_xx_vec->size[2]][tau_sol_xx_vec->size[3]] __attribute__((aligned(64))) = (float(*)[tau_sol_xx_vec->size[1]][tau_sol_xx_vec->size[2]][tau_sol_xx_vec->size[3]])tau_sol_xx_vec->data;
float(*restrict tau_sol_xy)[tau_sol_xy_vec->size[1]][tau_sol_xy_vec->size[2]][tau_sol_xy_vec->size[3]] __attribute__((aligned(64))) = (float(*)[tau_sol_xy_vec->size[1]][tau_sol_xy_vec->size[2]][tau_sol_xy_vec->size[3]])tau_sol_xy_vec->data;
float(*restrict tau_sol_xz)[tau_sol_xz_vec->size[1]][tau_sol_xz_vec->size[2]][tau_sol_xz_vec->size[3]] __attribute__((aligned(64))) = (float(*)[tau_sol_xz_vec->size[1]][tau_sol_xz_vec->size[2]][tau_sol_xz_vec->size[3]])tau_sol_xz_vec->data;
float(*restrict tau_sol_yy)[tau_sol_yy_vec->size[1]][tau_sol_yy_vec->size[2]][tau_sol_yy_vec->size[3]] __attribute__((aligned(64))) = (float(*)[tau_sol_yy_vec->size[1]][tau_sol_yy_vec->size[2]][tau_sol_yy_vec->size[3]])tau_sol_yy_vec->data;
float(*restrict tau_sol_yz)[tau_sol_yz_vec->size[1]][tau_sol_yz_vec->size[2]][tau_sol_yz_vec->size[3]] __attribute__((aligned(64))) = (float(*)[tau_sol_yz_vec->size[1]][tau_sol_yz_vec->size[2]][tau_sol_yz_vec->size[3]])tau_sol_yz_vec->data;
float(*restrict tau_sol_zz)[tau_sol_zz_vec->size[1]][tau_sol_zz_vec->size[2]][tau_sol_zz_vec->size[3]] __attribute__((aligned(64))) = (float(*)[tau_sol_zz_vec->size[1]][tau_sol_zz_vec->size[2]][tau_sol_zz_vec->size[3]])tau_sol_zz_vec->data;
float(*restrict v_sol_x)[v_sol_x_vec->size[1]][v_sol_x_vec->size[2]][v_sol_x_vec->size[3]] __attribute__((aligned(64))) = (float(*)[v_sol_x_vec->size[1]][v_sol_x_vec->size[2]][v_sol_x_vec->size[3]])v_sol_x_vec->data;
float(*restrict v_sol_y)[v_sol_y_vec->size[1]][v_sol_y_vec->size[2]][v_sol_y_vec->size[3]] __attribute__((aligned(64))) = (float(*)[v_sol_y_vec->size[1]][v_sol_y_vec->size[2]][v_sol_y_vec->size[3]])v_sol_y_vec->data;
float(*restrict v_sol_z)[v_sol_z_vec->size[1]][v_sol_z_vec->size[2]][v_sol_z_vec->size[3]] __attribute__((aligned(64))) = (float(*)[v_sol_z_vec->size[1]][v_sol_z_vec->size[2]][v_sol_z_vec->size[3]])v_sol_z_vec->data;
/* Flush denormal numbers to zero in hardware */
_MM_SET_DENORMALS_ZERO_MODE(_MM_DENORMALS_ZERO_ON);
_MM_SET_FLUSH_ZERO_MODE(_MM_FLUSH_ZERO_ON);
int xb_size = block_sizes[0];
int y0_blk0_size = block_sizes[3];
int x0_blk0_size = block_sizes[2];
int yb_size = block_sizes[1];
int sf = 4;
int t_blk_size = 2 * sf * (time_M - time_m);
//int xb_size = 64;
//int yb_size = 64;
//x0_blk0_size = 8;
//y0_blk0_size = 8;
printf(" Tiles: %d, %d ::: Blocks %d, %d \n", xb_size , yb_size , x0_blk0_size, y0_blk0_size);
struct timeval start_section0, end_section0;
gettimeofday(&start_section0, NULL);
for (int t_blk = time_m; t_blk < sf * (time_M - time_m); t_blk += sf * t_blk_size) // for each t block
{
for (int xb = x_m; xb <= (x_M + sf * (time_M - time_m)); xb += xb_size)
{
//printf(" Change of outer xblock %d \n", xb);
for (int yb = y_m; yb <= (y_M + sf * (time_M - time_m)); yb += yb_size)
{
for (int time = t_blk, t0 = (time) % (2), t1 = (time + 1) % (2); time <= 1 + min(t_blk + t_blk_size - 1, sf * (time_M - time_m)); time += sf, t0 = (((time / sf) % (time_M - time_m + 1)) + 1) % (2), t1 = (((time / sf) % (time_M - time_m + 1))) % (2))
{
int tw = ((time / sf) % (time_M - time_m + 1));
#pragma omp parallel num_threads(nthreads)
{
//printf(" Change of time block : %d \n", tw);
#pragma omp for collapse(2) schedule(dynamic, 1)
for (int x0_blk0 = max((x_m + time), xb); x0_blk0 <= min((x_M + time), (xb + xb_size)); x0_blk0 += x0_blk0_size)
{
for (int y0_blk0 = max((y_m + time), yb); y0_blk0 <= min((y_M + time), (yb + yb_size)); y0_blk0 += y0_blk0_size)
{
//printf(" Change of inner xblock %d \n", x0_blk0);
for (int x = x0_blk0; x <= min(min((x_M + time), (xb + xb_size - 1)), (x0_blk0 + x0_blk0_size - 1)); x++)
{
for (int y = y0_blk0; y <= min(min((y_M + time), (yb + yb_size - 1)), (y0_blk0 + y0_blk0_size - 1)); y++)
{
//printf(" Updating velocity x %d \n", x - time + 4);
//printf(" \n PDE update : \n");
#pragma omp simd aligned(tau_sol_xx, tau_sol_xz, tau_sol_zz, v_sol_x, v_sol_z : 32)
for (int z = z_m; z <= z_M; z += 1)
{
//printf(" Updating velocity x %d z: %d \n", x - time + 4, z + 4);
float r26 = 1.0 / h_z;
float r25 = 1.0 / h_y;
float r24 = 1.0 / h_x;
v_sol_x[t1][x - time + 4][y - time + 4][z + 4] = r24 * (2.7280354210856e-2F * (tau_sol_xx[t0][x - time + 3][y - time + 4][z + 4] - tau_sol_xx[t0][x - time + 6][y - time + 4][z + 4]) + 7.36569563735987e-1F * (-tau_sol_xx[t0][x - time + 4][y - time + 4][z + 4] + tau_sol_xx[t0][x - time + 5][y - time + 4][z + 4])) + r25 * (2.7280354210856e-2F * (tau_sol_xy[t0][x - time + 4][y - time + 2][z + 4] - tau_sol_xy[t0][x - time + 4][y - time + 5][z + 4]) + 7.36569563735987e-1F * (-tau_sol_xy[t0][x - time + 4][y - time + 3][z + 4] + tau_sol_xy[t0][x - time + 4][y - time + 4][z + 4])) + r26 * (2.7280354210856e-2F * (tau_sol_xz[t0][x - time + 4][y - time + 4][z + 2] - tau_sol_xz[t0][x - time + 4][y - time + 4][z + 5]) + 7.36569563735987e-1F * (-tau_sol_xz[t0][x - time + 4][y - time + 4][z + 3] + tau_sol_xz[t0][x - time + 4][y - time + 4][z + 4])) + v_sol_x[t0][x - time + 4][y - time + 4][z + 4];
v_sol_y[t1][x - time + 4][y - time + 4][z + 4] = r24 * (2.7280354210856e-2F * (tau_sol_xy[t0][x - time + 2][y - time + 4][z + 4] - tau_sol_xy[t0][x - time + 5][y - time + 4][z + 4]) + 7.36569563735987e-1F * (-tau_sol_xy[t0][x - time + 3][y - time + 4][z + 4] + tau_sol_xy[t0][x - time + 4][y - time + 4][z + 4])) + r25 * (2.7280354210856e-2F * (tau_sol_yy[t0][x - time + 4][y - time + 3][z + 4] - tau_sol_yy[t0][x - time + 4][y - time + 6][z + 4]) + 7.36569563735987e-1F * (-tau_sol_yy[t0][x - time + 4][y - time + 4][z + 4] + tau_sol_yy[t0][x - time + 4][y - time + 5][z + 4])) + r26 * (2.7280354210856e-2F * (tau_sol_yz[t0][x - time + 4][y - time + 4][z + 2] - tau_sol_yz[t0][x - time + 4][y - time + 4][z + 5]) + 7.36569563735987e-1F * (-tau_sol_yz[t0][x - time + 4][y - time + 4][z + 3] + tau_sol_yz[t0][x - time + 4][y - time + 4][z + 4])) + v_sol_y[t0][x - time + 4][y - time + 4][z + 4];
v_sol_z[t1][x - time + 4][y - time + 4][z + 4] = r24 * (2.7280354210856e-2F * (tau_sol_xz[t0][x - time + 2][y - time + 4][z + 4] - tau_sol_xz[t0][x - time + 5][y - time + 4][z + 4]) + 7.36569563735987e-1F * (-tau_sol_xz[t0][x - time + 3][y - time + 4][z + 4] + tau_sol_xz[t0][x - time + 4][y - time + 4][z + 4])) + r25 * (2.7280354210856e-2F * (tau_sol_yz[t0][x - time + 4][y - time + 2][z + 4] - tau_sol_yz[t0][x - time + 4][y - time + 5][z + 4]) + 7.36569563735987e-1F * (-tau_sol_yz[t0][x - time + 4][y - time + 3][z + 4] + tau_sol_yz[t0][x - time + 4][y - time + 4][z + 4])) + r26 * (2.7280354210856e-2F * (tau_sol_zz[t0][x - time + 4][y - time + 4][z + 3] - tau_sol_zz[t0][x - time + 4][y - time + 4][z + 6]) + 7.36569563735987e-1F * (-tau_sol_zz[t0][x - time + 4][y - time + 4][z + 4] + tau_sol_zz[t0][x - time + 4][y - time + 4][z + 5])) + v_sol_z[t0][x - time + 4][y - time + 4][z + 4];
}
}
}
}
}
}
#pragma omp parallel num_threads(nthreads)
{
#pragma omp for collapse(2) schedule(dynamic, 1)
for (int x0_blk0 = max((x_m + time), xb - 2); x0_blk0 <= +min((x_M + time), (xb - 2 + xb_size)); x0_blk0 += x0_blk0_size)
{
for (int y0_blk0 = max((y_m + time), yb - 2); y0_blk0 <= +min((y_M + time), (yb - 2 + yb_size)); y0_blk0 += y0_blk0_size)
{
for (int x = x0_blk0; x <= min(min((x_M + time), (xb - 2 + xb_size - 1)), (x0_blk0 + x0_blk0_size - 1)); x++)
{
for (int y = y0_blk0; y <= min(min((y_M + time), (yb - 2 + yb_size - 1)), (y0_blk0 + y0_blk0_size - 1)); y++)
{
//printf(" Updating stress x %d \n", x - time + 4);
#pragma omp simd aligned(tau_sol_xx, tau_sol_xz, tau_sol_zz, v_sol_x, v_sol_z : 32)
for (int z = z_m; z <= z_M; z += 1)
{
//printf(" Updating x %d z: %d \n", x - time + 4, z + 4);
float r41 = -v_sol_z[t1][x - time + 4][y - time + 4][z + 4];
float r40 = -v_sol_y[t1][x - time + 4][y - time + 4][z + 4];
float r39 = -v_sol_x[t1][x - time + 4][y - time + 4][z + 4];
float r38 = v_sol_y[t1][x - time + 4][y - time + 2][z + 4] - v_sol_y[t1][x - time + 4][y - time + 5][z + 4];
float r37 = -v_sol_y[t1][x - time + 4][y - time + 3][z + 4] + v_sol_y[t1][x - time + 4][y - time + 4][z + 4];
float r36 = v_sol_z[t1][x - time + 4][y - time + 4][z + 2] - v_sol_z[t1][x - time + 4][y - time + 4][z + 5];
float r35 = -v_sol_z[t1][x - time + 4][y - time + 4][z + 3] + v_sol_z[t1][x - time + 4][y - time + 4][z + 4];
float r34 = v_sol_x[t1][x - time + 2][y - time + 4][z + 4] - v_sol_x[t1][x - time + 5][y - time + 4][z + 4];
float r33 = -v_sol_x[t1][x - time + 3][y - time + 4][z + 4] + v_sol_x[t1][x - time + 4][y - time + 4][z + 4];
float r32 = 1.0 / h_y;
float r31 = 1.0 / h_z;
float r30 = 1.0 / h_x;
float r29 = r30 * (4.7729707730092F * r33 + 1.76776695286347e-1F * r34);
float r28 = r31 * (4.7729707730092F * r35 + 1.76776695286347e-1F * r36);
float r27 = r32 * (4.7729707730092F * r37 + 1.76776695286347e-1F * r38);
tau_sol_xx[t1][x - time + 4][y - time + 4][z + 4] = r27 + r28 + r30 * (9.54594154601839F * r33 + 3.53553390572694e-1F * r34) + tau_sol_xx[t0][x - time + 4][y - time + 4][z + 4];
tau_sol_xy[t1][x - time + 4][y - time + 4][z + 4] = r30 * (2.3864853865046F * (r40 + v_sol_y[t1][x - time + 5][y - time + 4][z + 4]) + 8.83883476431735e-2F * (v_sol_y[t1][x - time + 3][y - time + 4][z + 4] - v_sol_y[t1][x - time + 6][y - time + 4][z + 4])) + r32 * (2.3864853865046F * (r39 + v_sol_x[t1][x - time + 4][y - time + 5][z + 4]) + 8.83883476431735e-2F * (v_sol_x[t1][x - time + 4][y - time + 3][z + 4] - v_sol_x[t1][x - time + 4][y - time + 6][z + 4])) + tau_sol_xy[t0][x - time + 4][y - time + 4][z + 4];
tau_sol_xz[t1][x - time + 4][y - time + 4][z + 4] = r30 * (2.3864853865046F * (r41 + v_sol_z[t1][x - time + 5][y - time + 4][z + 4]) + 8.83883476431735e-2F * (v_sol_z[t1][x - time + 3][y - time + 4][z + 4] - v_sol_z[t1][x - time + 6][y - time + 4][z + 4])) + r31 * (2.3864853865046F * (r39 + v_sol_x[t1][x - time + 4][y - time + 4][z + 5]) + 8.83883476431735e-2F * (v_sol_x[t1][x - time + 4][y - time + 4][z + 3] - v_sol_x[t1][x - time + 4][y - time + 4][z + 6])) + tau_sol_xz[t0][x - time + 4][y - time + 4][z + 4];
tau_sol_yy[t1][x - time + 4][y - time + 4][z + 4] = r28 + r29 + r32 * (9.54594154601839F * r37 + 3.53553390572694e-1F * r38) + tau_sol_yy[t0][x - time + 4][y - time + 4][z + 4];
tau_sol_yz[t1][x - time + 4][y - time + 4][z + 4] = r31 * (2.3864853865046F * (r40 + v_sol_y[t1][x - time + 4][y - time + 4][z + 5]) + 8.83883476431735e-2F * (v_sol_y[t1][x - time + 4][y - time + 4][z + 3] - v_sol_y[t1][x - time + 4][y - time + 4][z + 6])) + r32 * (2.3864853865046F * (r41 + v_sol_z[t1][x - time + 4][y - time + 5][z + 4]) + 8.83883476431735e-2F * (v_sol_z[t1][x - time + 4][y - time + 3][z + 4] - v_sol_z[t1][x - time + 4][y - time + 6][z + 4])) + tau_sol_yz[t0][x - time + 4][y - time + 4][z + 4];
tau_sol_zz[t1][x - time + 4][y - time + 4][z + 4] = r27 + r29 + r31 * (9.54594154601839F * r35 + 3.53553390572694e-1F * r36) + tau_sol_zz[t0][x - time + 4][y - time + 4][z + 4];
}
for (int sp_zi = sp_zi_m; sp_zi <= nnz_sp_source_mask[x - time][y - time] - 1; sp_zi += 1)
{
//printf("\n Source_injection at : ");
int zind = sp_source_mask[x - time][y - time][sp_zi];
float r0 = save_src_fxx[((time / sf) % (time_M - time_m + 1))][source_id[x - time][y - time][zind]] * source_mask[x - time][y - time][zind];
float r1 = save_src_fyy[((time / sf) % (time_M - time_m + 1))][source_id[x - time][y - time][zind]] * source_mask[x - time][y - time][zind];
float r2 = save_src_fzz[((time / sf) % (time_M - time_m + 1))][source_id[x - time][y - time][zind]] * source_mask[x - time][y - time][zind];
tau_sol_xx[t1][x - time + 4][y - time + 4][zind + 4] += r0;
tau_sol_yy[t1][x - time + 4][y - time + 4][zind + 4] += r1;
tau_sol_zz[t1][x - time + 4][y - time + 4][zind + 4] += r2;
//printf(" Time %d , at : %d, %d \n", tw, x - time + 4, zind + 4);
}
}
}
}
}
}
}
}
}
}
/* End section0 */
gettimeofday(&end_section0, NULL);
timers->section0 += (double)(end_section0.tv_sec - start_section0.tv_sec) + (double)(end_section0.tv_usec - start_section0.tv_usec) / 1000000;
return 0;
}
/* Backdoor edit at Fri Jul 31 14:05:12 2020*/
|
softmax-inl.h | /*!
* Copyright (c) 2017 by Contributors
* \file softmax-inl.h
* \brief
*/
#ifndef MXNET_OPERATOR_NN_SOFTMAX_INL_H_
#define MXNET_OPERATOR_NN_SOFTMAX_INL_H_
#include <vector>
#include "../mxnet_op.h"
#include "../operator_common.h"
#include "../tensor/broadcast_reduce_op.h"
namespace mxnet {
namespace op {
namespace mxnet_op {
struct softmax_fwd {
template<typename DType>
MSHADOW_XINLINE static DType Map(DType a, DType b) {
return DType(expf(a)/b);
}
};
struct log_softmax_fwd {
template<typename DType>
MSHADOW_XINLINE static DType Map(DType a, DType b) {
return DType(a - logf(b));
}
};
template<typename OP, typename DType, int ndim>
inline void Softmax(Stream<cpu> *s, DType *in, DType *out,
Shape<ndim> shape, int axis) {
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
index_t sa = stride[axis];
#pragma omp parallel for
for (int i = 0; i < N; ++i) {
index_t base = unravel_dot(i, sshape, stride);
DType mmax = in[base];
for (index_t j = 1; j < M; ++j) {
if (mmax < in[base + j*sa]) mmax = in[base + j*sa];
}
DType sum = DType(0);
for (index_t j = 0; j < M; ++j) {
sum += std::exp(in[base + j*sa] - mmax);
}
for (index_t j = 0; j < M; ++j) {
out[base + j*sa] = OP::Map(in[base + j*sa] - mmax, sum);
}
}
}
struct softmax_bwd {
template<typename DType>
MSHADOW_XINLINE static DType Map(DType ograd, DType out, DType sum) {
return DType(out * (ograd - sum));
}
};
struct log_softmax_bwd {
template<typename DType>
MSHADOW_XINLINE static DType Map(DType ograd, DType out, DType sum) {
return DType(ograd - expf(out)*sum);
}
};
template<typename OP1, typename OP2, typename DType, int ndim>
inline void SoftmaxGrad(Stream<cpu> *s, DType *out, DType *ograd,
DType *igrad, Shape<ndim> shape, int axis) {
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
index_t sa = stride[axis];
#pragma omp parallel for
for (int i = 0; i < N; ++i) {
index_t base = unravel_dot(i, sshape, stride);
DType sum = DType(0);
for (index_t j = 0; j < M; ++j) {
sum += OP1::Map(ograd[base + j*sa], out[base + j*sa]);
}
for (index_t j = 0; j < M; ++j) {
igrad[base + j*sa] = OP2::Map(ograd[base + j*sa], out[base + j*sa], sum);
}
}
}
#ifdef __CUDACC__
template<int x_bits, typename OP, typename DType, int ndim>
__global__ void softmax_compute_kernel(DType *in, DType *out, index_t M, int axis,
Shape<ndim> sshape, Shape<ndim> stride) {
const unsigned x_size = 1 << x_bits;
__shared__ DType smem[x_size];
index_t sa = stride[axis];
index_t base = unravel_dot(blockIdx.x, sshape, stride);
index_t x = threadIdx.x;
red::maximum::SetInitValue(smem[x]);
for (index_t i = x; i < M; i += x_size) {
red::maximum::Reduce(smem[x], in[base + i*sa]);
}
__syncthreads();
cuda::Reduce1D<red::maximum, x_bits>(smem);
__syncthreads();
DType smax = smem[0];
__syncthreads();
red::sum::SetInitValue(smem[x]);
for (index_t i = x; i < M; i += x_size) {
red::sum::Reduce(smem[x], static_cast<DType>(expf(in[base + i*sa] - smax)));
}
__syncthreads();
cuda::Reduce1D<red::sum, x_bits>(smem);
__syncthreads();
DType ssum = smem[0];
__syncthreads();
for (index_t i = x; i < M; i += x_size) {
out[base + i*sa] = OP::Map(in[base + i*sa] - smax, ssum);
}
}
template<typename OP, typename DType, int ndim>
inline void Softmax(Stream<gpu> *s, DType *in, DType *out,
Shape<ndim> shape, int axis) {
const int x_bits = 7;
const int x_size = 1 << x_bits;
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
softmax_compute_kernel<x_bits, OP, DType, ndim>
<<<N, x_size, 0, mshadow::Stream<gpu>::GetStream(s)>>>(
in, out, M, axis, sshape, stride);
}
template<int x_bits, typename OP1, typename OP2, typename DType, int ndim>
__global__ void softmax_gradient_kernel(DType *out, DType *ograd, DType *igrad,
index_t M, int axis, Shape<ndim> sshape,
Shape<ndim> stride) {
const unsigned x_size = 1 << x_bits;
__shared__ DType smem[x_size];
index_t sa = stride[axis];
index_t base = unravel_dot(blockIdx.x, sshape, stride);
index_t x = threadIdx.x;
red::sum::SetInitValue(smem[x]);
for (index_t i = x; i < M; i += x_size) {
red::sum::Reduce(smem[x], OP1::Map(ograd[base + i*sa], out[base + i*sa]));
}
__syncthreads();
cuda::Reduce1D<red::sum, x_bits>(smem);
__syncthreads();
DType ssum = smem[0];
__syncthreads();
for (index_t i = x; i < M; i += x_size) {
igrad[base + i*sa] = OP2::Map(ograd[base + i*sa], out[base + i*sa], ssum);
}
}
template<typename OP1, typename OP2, typename DType, int ndim>
inline void SoftmaxGrad(Stream<gpu> *s, DType *out, DType *ograd,
DType *igrad, Shape<ndim> shape, int axis) {
const int x_bits = 7;
const int x_size = 1 << x_bits;
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
softmax_gradient_kernel<x_bits, OP1, OP2, DType, ndim>
<<<N, x_size, 0, mshadow::Stream<gpu>::GetStream(s)>>>(
out, ograd, igrad, M, axis, sshape, stride);
}
#endif
} // namespace mxnet_op
struct SoftmaxParam : public dmlc::Parameter<SoftmaxParam> {
int axis;
DMLC_DECLARE_PARAMETER(SoftmaxParam) {
DMLC_DECLARE_FIELD(axis).set_default(-1)
.describe("The axis along which to compute softmax. "
"By default use the last axis");
}
};
template<typename xpu, typename OP>
void SoftmaxCompute(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mxnet_op;
if (req[0] == kNullOp) return;
CHECK_NE(req[0], kAddTo);
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
int axis = CheckAxis(param.axis, inputs[0].ndim());
TShape shape = AxisShapeCompact(inputs[0].shape_, &axis, true);
MSHADOW_REAL_TYPE_SWITCH(inputs[0].type_flag_, DType, {
if (shape.ndim() == 2) {
Softmax<OP>(ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<DType>(), shape.get<2>(), axis);
} else {
Softmax<OP>(ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<DType>(), shape.get<3>(), axis);
}
});
}
template<typename xpu, typename OP1, typename OP2>
void SoftmaxGradCompute(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mxnet_op;
if (req[0] == kNullOp) return;
CHECK_NE(req[0], kAddTo);
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
int axis = CheckAxis(param.axis, inputs[0].ndim());
TShape shape = AxisShapeCompact(inputs[0].shape_, &axis, true);
MSHADOW_REAL_TYPE_SWITCH(inputs[0].type_flag_, DType, {
if (shape.ndim() == 2) {
SoftmaxGrad<OP1, OP2>(ctx.get_stream<xpu>(), inputs[1].dptr<DType>(),
inputs[0].dptr<DType>(), outputs[0].dptr<DType>(),
shape.get<2>(), axis);
} else {
SoftmaxGrad<OP1, OP2>(ctx.get_stream<xpu>(), inputs[1].dptr<DType>(),
inputs[0].dptr<DType>(), outputs[0].dptr<DType>(),
shape.get<3>(), axis);
}
});
}
} // namespace op
} // namespace mxnet
#endif // MXNET_OPERATOR_NN_SOFTMAX_INL_H_
|
configurator.c | /* Simple tool to create config.h.
* Would be much easier with ccan modules, but deliberately standalone.
*
* Copyright 2011 Rusty Russell <rusty@rustcorp.com.au>. MIT license.
*
* c12r_err, c12r_errx functions copied from ccan/err/err.c
* Copyright Rusty Russell <rusty@rustcorp.com.au>. CC0 (Public domain) License.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#define _POSIX_C_SOURCE 200809L /* For pclose, popen, strdup */
#include <errno.h>
#include <stdio.h>
#include <stdarg.h>
#include <stdbool.h>
#include <stdlib.h>
#include <string.h>
#ifdef _MSC_VER
#define popen _popen
#define pclose _pclose
#endif
#ifdef _MSC_VER
#define DEFAULT_COMPILER "cl"
/* Note: Dash options avoid POSIX path conversion when used under msys bash
* and are therefore preferred to slash (e.g. -nologo over /nologo)
* Note: Disable Warning 4200 "nonstandard extension used : zero-sized array
* in struct/union" for flexible array members.
*/
#define DEFAULT_FLAGS "-nologo -Zi -W4 -wd4200 " \
"-D_CRT_NONSTDC_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS"
#define DEFAULT_OUTPUT_EXE_FLAG "-Fe:"
#else
#define DEFAULT_COMPILER "cc"
#define DEFAULT_FLAGS "-g3 -ggdb -Wall -Wundef -Wmissing-prototypes -Wmissing-declarations -Wstrict-prototypes -Wold-style-definition"
#define DEFAULT_OUTPUT_EXE_FLAG "-o"
#endif
#define OUTPUT_FILE "configurator.out"
#define INPUT_FILE "configuratortest.c"
#ifdef _WIN32
#define DIR_SEP "\\"
#else
#define DIR_SEP "/"
#endif
static const char *progname = "";
static int verbose;
enum test_style {
OUTSIDE_MAIN = 0x1,
DEFINES_FUNC = 0x2,
INSIDE_MAIN = 0x4,
DEFINES_EVERYTHING = 0x8,
MAY_NOT_COMPILE = 0x10,
EXECUTE = 0x8000
};
struct test {
const char *name;
enum test_style style;
const char *depends;
const char *link;
const char *fragment;
const char *flags;
const char *overrides; /* On success, force this to '1' */
bool done;
bool answer;
};
static struct test tests[] = {
{ "HAVE_32BIT_OFF_T", DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE, NULL, NULL,
"#include <sys/types.h>\n"
"int main(void) {\n"
" return sizeof(off_t) == 4 ? 0 : 1;\n"
"}\n" },
{ "HAVE_ALIGNOF", INSIDE_MAIN, NULL, NULL,
"return __alignof__(double) > 0 ? 0 : 1;" },
{ "HAVE_ASPRINTF", DEFINES_FUNC, NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <stdio.h>\n"
"static char *func(int x) {"
" char *p;\n"
" if (asprintf(&p, \"%u\", x) == -1) p = NULL;"
" return p;\n"
"}" },
{ "HAVE_ATTRIBUTE_COLD", DEFINES_FUNC, NULL, NULL,
"static int __attribute__((cold)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_CONST", DEFINES_FUNC, NULL, NULL,
"static int __attribute__((const)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_PURE", DEFINES_FUNC, NULL, NULL,
"static int __attribute__((pure)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_MAY_ALIAS", OUTSIDE_MAIN, NULL, NULL,
"typedef short __attribute__((__may_alias__)) short_a;" },
{ "HAVE_ATTRIBUTE_NORETURN", DEFINES_FUNC, NULL, NULL,
"#include <stdlib.h>\n"
"static void __attribute__((noreturn)) func(int x) { exit(x); }" },
{ "HAVE_ATTRIBUTE_PRINTF", DEFINES_FUNC, NULL, NULL,
"static void __attribute__((format(__printf__, 1, 2))) func(const char *fmt, ...) { (void)fmt; }" },
{ "HAVE_ATTRIBUTE_UNUSED", OUTSIDE_MAIN, NULL, NULL,
"static int __attribute__((unused)) func(int x) { return x; }" },
{ "HAVE_ATTRIBUTE_USED", OUTSIDE_MAIN, NULL, NULL,
"static int __attribute__((used)) func(int x) { return x; }" },
{ "HAVE_BACKTRACE", DEFINES_FUNC, NULL, NULL,
"#include <execinfo.h>\n"
"static int func(int x) {"
" void *bt[10];\n"
" return backtrace(bt, 10) < x;\n"
"}" },
{ "HAVE_BIG_ENDIAN", INSIDE_MAIN|EXECUTE, NULL, NULL,
"union { int i; char c[sizeof(int)]; } u;\n"
"u.i = 0x01020304;\n"
"return u.c[0] == 0x01 && u.c[1] == 0x02 && u.c[2] == 0x03 && u.c[3] == 0x04 ? 0 : 1;" },
{ "HAVE_BSWAP_64", DEFINES_FUNC, "HAVE_BYTESWAP_H", NULL,
"#include <byteswap.h>\n"
"static int func(int x) { return bswap_64(x); }" },
{ "HAVE_BUILTIN_CHOOSE_EXPR", INSIDE_MAIN, NULL, NULL,
"return __builtin_choose_expr(1, 0, \"garbage\");" },
{ "HAVE_BUILTIN_CLZ", INSIDE_MAIN, NULL, NULL,
"return __builtin_clz(1) == (sizeof(int)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CLZL", INSIDE_MAIN, NULL, NULL,
"return __builtin_clzl(1) == (sizeof(long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CLZLL", INSIDE_MAIN, NULL, NULL,
"return __builtin_clzll(1) == (sizeof(long long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CTZ", INSIDE_MAIN, NULL, NULL,
"return __builtin_ctz(1 << (sizeof(int)*8 - 1)) == (sizeof(int)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CTZL", INSIDE_MAIN, NULL, NULL,
"return __builtin_ctzl(1UL << (sizeof(long)*8 - 1)) == (sizeof(long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CTZLL", INSIDE_MAIN, NULL, NULL,
"return __builtin_ctzll(1ULL << (sizeof(long long)*8 - 1)) == (sizeof(long long)*8 - 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_CONSTANT_P", INSIDE_MAIN, NULL, NULL,
"return __builtin_constant_p(1) ? 0 : 1;" },
{ "HAVE_BUILTIN_EXPECT", INSIDE_MAIN, NULL, NULL,
"return __builtin_expect(argc == 1, 1) ? 0 : 1;" },
{ "HAVE_BUILTIN_FFS", INSIDE_MAIN, NULL, NULL,
"return __builtin_ffs(0) == 0 ? 0 : 1;" },
{ "HAVE_BUILTIN_FFSL", INSIDE_MAIN, NULL, NULL,
"return __builtin_ffsl(0L) == 0 ? 0 : 1;" },
{ "HAVE_BUILTIN_FFSLL", INSIDE_MAIN, NULL, NULL,
"return __builtin_ffsll(0LL) == 0 ? 0 : 1;" },
{ "HAVE_BUILTIN_POPCOUNTL", INSIDE_MAIN, NULL, NULL,
"return __builtin_popcountl(255L) == 8 ? 0 : 1;" },
{ "HAVE_BUILTIN_TYPES_COMPATIBLE_P", INSIDE_MAIN, NULL, NULL,
"return __builtin_types_compatible_p(char *, int) ? 1 : 0;" },
{ "HAVE_ICCARM_INTRINSICS", DEFINES_FUNC, NULL, NULL,
"#include <intrinsics.h>\n"
"int func(int v) {\n"
" return __CLZ(__RBIT(v));\n"
"}" },
{ "HAVE_BYTESWAP_H", OUTSIDE_MAIN, NULL, NULL,
"#include <byteswap.h>\n" },
{ "HAVE_CLOCK_GETTIME",
DEFINES_FUNC, "HAVE_STRUCT_TIMESPEC", NULL,
"#include <time.h>\n"
"static struct timespec func(void) {\n"
" struct timespec ts;\n"
" clock_gettime(CLOCK_REALTIME, &ts);\n"
" return ts;\n"
"}\n" },
{ "HAVE_CLOCK_GETTIME_IN_LIBRT",
DEFINES_FUNC,
"HAVE_STRUCT_TIMESPEC !HAVE_CLOCK_GETTIME",
"-lrt",
"#include <time.h>\n"
"static struct timespec func(void) {\n"
" struct timespec ts;\n"
" clock_gettime(CLOCK_REALTIME, &ts);\n"
" return ts;\n"
"}\n",
/* This means HAVE_CLOCK_GETTIME, too */
"HAVE_CLOCK_GETTIME" },
{ "HAVE_COMPOUND_LITERALS", INSIDE_MAIN, NULL, NULL,
"int *foo = (int[]) { 1, 2, 3, 4 };\n"
"return foo[0] ? 0 : 1;" },
{ "HAVE_FCHDIR", DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE, NULL, NULL,
"#include <sys/types.h>\n"
"#include <sys/stat.h>\n"
"#include <fcntl.h>\n"
"#include <unistd.h>\n"
"int main(void) {\n"
" int fd = open(\"..\", O_RDONLY);\n"
" return fchdir(fd) == 0 ? 0 : 1;\n"
"}\n" },
{ "HAVE_ERR_H", DEFINES_FUNC, NULL, NULL,
"#include <err.h>\n"
"static void func(int arg) {\n"
" if (arg == 0)\n"
" err(1, \"err %u\", arg);\n"
" if (arg == 1)\n"
" errx(1, \"err %u\", arg);\n"
" if (arg == 3)\n"
" warn(\"warn %u\", arg);\n"
" if (arg == 4)\n"
" warnx(\"warn %u\", arg);\n"
"}\n" },
{ "HAVE_FILE_OFFSET_BITS", DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE,
"HAVE_32BIT_OFF_T", NULL,
"#define _FILE_OFFSET_BITS 64\n"
"#include <sys/types.h>\n"
"int main(void) {\n"
" return sizeof(off_t) == 8 ? 0 : 1;\n"
"}\n" },
{ "HAVE_FOR_LOOP_DECLARATION", INSIDE_MAIN, NULL, NULL,
"int ret = 1;\n"
"for (int i = 0; i < argc; i++) { ret = 0; };\n"
"return ret;" },
{ "HAVE_FLEXIBLE_ARRAY_MEMBER", OUTSIDE_MAIN, NULL, NULL,
"struct foo { unsigned int x; int arr[]; };" },
{ "HAVE_GETPAGESIZE", DEFINES_FUNC, NULL, NULL,
"#include <unistd.h>\n"
"static int func(void) { return getpagesize(); }" },
{ "HAVE_ISBLANK", DEFINES_FUNC, NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <ctype.h>\n"
"static int func(void) { return isblank(' '); }" },
{ "HAVE_LITTLE_ENDIAN", INSIDE_MAIN|EXECUTE, NULL, NULL,
"union { int i; char c[sizeof(int)]; } u;\n"
"u.i = 0x01020304;\n"
"return u.c[0] == 0x04 && u.c[1] == 0x03 && u.c[2] == 0x02 && u.c[3] == 0x01 ? 0 : 1;" },
{ "HAVE_MEMMEM", DEFINES_FUNC, NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <string.h>\n"
"static void *func(void *h, size_t hl, void *n, size_t nl) {\n"
"return memmem(h, hl, n, nl);"
"}\n", },
{ "HAVE_MEMRCHR", DEFINES_FUNC, NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <string.h>\n"
"static void *func(void *s, int c, size_t n) {\n"
"return memrchr(s, c, n);"
"}\n", },
{ "HAVE_MMAP", DEFINES_FUNC, NULL, NULL,
"#include <sys/mman.h>\n"
"static void *func(int fd) {\n"
" return mmap(0, 65536, PROT_READ, MAP_SHARED, fd, 0);\n"
"}" },
{ "HAVE_PROC_SELF_MAPS", DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE, NULL, NULL,
"#include <sys/types.h>\n"
"#include <sys/stat.h>\n"
"#include <fcntl.h>\n"
"int main(void) {\n"
" return open(\"/proc/self/maps\", O_RDONLY) != -1 ? 0 : 1;\n"
"}\n" },
{ "HAVE_QSORT_R_PRIVATE_LAST",
DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE, NULL, NULL,
"#ifndef _GNU_SOURCE\n"
"#define _GNU_SOURCE\n"
"#endif\n"
"#include <stdlib.h>\n"
"static int cmp(const void *lp, const void *rp, void *priv) {\n"
" *(unsigned int *)priv = 1;\n"
" return *(const int *)lp - *(const int *)rp; }\n"
"int main(void) {\n"
" int array[] = { 9, 2, 5 };\n"
" unsigned int called = 0;\n"
" qsort_r(array, 3, sizeof(int), cmp, &called);\n"
" return called && array[0] == 2 && array[1] == 5 && array[2] == 9 ? 0 : 1;\n"
"}\n" },
{ "HAVE_STRUCT_TIMESPEC",
DEFINES_FUNC, NULL, NULL,
"#include <time.h>\n"
"static void func(void) {\n"
" struct timespec ts;\n"
" ts.tv_sec = ts.tv_nsec = 1;\n"
"}\n" },
{ "HAVE_SECTION_START_STOP",
DEFINES_FUNC, NULL, NULL,
"static void *__attribute__((__section__(\"mysec\"))) p = &p;\n"
"static int func(void) {\n"
" extern void *__start_mysec[], *__stop_mysec[];\n"
" return __stop_mysec - __start_mysec;\n"
"}\n" },
{ "HAVE_STACK_GROWS_UPWARDS", DEFINES_EVERYTHING|EXECUTE, NULL, NULL,
"#include <stddef.h>\n"
"static ptrdiff_t nest(const void *base, unsigned int i)\n"
"{\n"
" if (i == 0)\n"
" return (const char *)&i - (const char *)base;\n"
" return nest(base, i-1);\n"
"}\n"
"int main(int argc, char *argv[]) {\n"
" (void)argv;\n"
" return (nest(&argc, argc) > 0) ? 0 : 1;\n"
"}\n" },
{ "HAVE_STATEMENT_EXPR", INSIDE_MAIN, NULL, NULL,
"return ({ int x = argc; x == argc ? 0 : 1; });" },
{ "HAVE_SYS_FILIO_H", OUTSIDE_MAIN, NULL, NULL, /* Solaris needs this for FIONREAD */
"#include <sys/filio.h>\n" },
{ "HAVE_SYS_TERMIOS_H", OUTSIDE_MAIN, NULL, NULL,
"#include <sys/termios.h>\n" },
{ "HAVE_TYPEOF", INSIDE_MAIN, NULL, NULL,
"__typeof__(argc) i; i = argc; return i == argc ? 0 : 1;" },
{ "HAVE_UNALIGNED_ACCESS", DEFINES_EVERYTHING|EXECUTE, NULL, NULL,
"#include <string.h>\n"
"int main(int argc, char *argv[]) {\n"
" (void)argc;\n"
" char pad[sizeof(int *) * 1];\n"
" strncpy(pad, argv[0], sizeof(pad));\n"
" int *x = (int *)pad, *y = (int *)(pad + 1);\n"
" return *x == *y;\n"
"}\n" },
{ "HAVE_UTIME", DEFINES_FUNC, NULL, NULL,
"#include <sys/types.h>\n"
"#include <utime.h>\n"
"static int func(const char *filename) {\n"
" struct utimbuf times = { 0 };\n"
" return utime(filename, ×);\n"
"}" },
{ "HAVE_WARN_UNUSED_RESULT", DEFINES_FUNC, NULL, NULL,
"#include <sys/types.h>\n"
"#include <utime.h>\n"
"static __attribute__((warn_unused_result)) int func(int i) {\n"
" return i + 1;\n"
"}" },
{ "HAVE_OPENMP", INSIDE_MAIN, NULL, NULL,
"int i;\n"
"#pragma omp parallel for\n"
"for(i = 0; i < 0; i++) {};\n"
"return 0;\n",
"-Werror -fopenmp" },
{ "HAVE_VALGRIND_MEMCHECK_H", OUTSIDE_MAIN, NULL, NULL,
"#include <valgrind/memcheck.h>\n" },
{ "HAVE_UCONTEXT", DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE,
NULL, NULL,
"#include <ucontext.h>\n"
"static int x = 0;\n"
"static char stack[2048];\n"
"static ucontext_t a, b;\n"
"static void fn(void) {\n"
" x |= 2;\n"
" setcontext(&b);\n"
" x |= 4;\n"
"}\n"
"int main(void) {\n"
" x |= 1;\n"
" getcontext(&a);\n"
" a.uc_stack.ss_sp = stack;\n"
" a.uc_stack.ss_size = sizeof(stack);\n"
" makecontext(&a, fn, 0);\n"
" swapcontext(&b, &a);\n"
" return (x == 3) ? 0 : 1;\n"
"}\n"
},
{ "HAVE_POINTER_SAFE_MAKECONTEXT", DEFINES_EVERYTHING|EXECUTE|MAY_NOT_COMPILE,
"HAVE_UCONTEXT", NULL,
"#include <stddef.h>\n"
"#include <ucontext.h>\n"
"static int worked = 0;\n"
"static char stack[1024];\n"
"static ucontext_t a, b;\n"
"static void fn(void *p, void *q) {\n"
" void *cp = &worked;\n"
" void *cq = (void *)(~((ptrdiff_t)cp));\n"
" if ((p == cp) && (q == cq))\n"
" worked = 1;\n"
" setcontext(&b);\n"
"}\n"
"int main(void) {\n"
" void *ap = &worked;\n"
" void *aq = (void *)(~((ptrdiff_t)ap));\n"
" getcontext(&a);\n"
" a.uc_stack.ss_sp = stack;\n"
" a.uc_stack.ss_size = sizeof(stack);\n"
" makecontext(&a, (void (*)(void))fn, 2, ap, aq);\n"
" swapcontext(&b, &a);\n"
" return worked ? 0 : 1;\n"
"}\n"
},
};
static void c12r_err(int eval, const char *fmt, ...)
{
int err_errno = errno;
va_list ap;
fprintf(stderr, "%s: ", progname);
va_start(ap, fmt);
vfprintf(stderr, fmt, ap);
va_end(ap);
fprintf(stderr, ": %s\n", strerror(err_errno));
exit(eval);
}
static void c12r_errx(int eval, const char *fmt, ...)
{
va_list ap;
fprintf(stderr, "%s: ", progname);
va_start(ap, fmt);
vfprintf(stderr, fmt, ap);
va_end(ap);
fprintf(stderr, "\n");
exit(eval);
}
static size_t fcopy(FILE *fsrc, FILE *fdst)
{
char buffer[BUFSIZ];
size_t rsize, wsize;
size_t copied = 0;
while ((rsize = fread(buffer, 1, BUFSIZ, fsrc)) > 0) {
wsize = fwrite(buffer, 1, rsize, fdst);
copied += wsize;
if (wsize != rsize)
break;
}
return copied;
}
static char *grab_stream(FILE *file)
{
size_t max, ret, size = 0;
char *buffer;
max = BUFSIZ;
buffer = malloc(max);
while ((ret = fread(buffer+size, 1, max - size, file)) == max - size) {
size += ret;
buffer = realloc(buffer, max *= 2);
}
size += ret;
if (ferror(file))
c12r_err(1, "reading from command");
buffer[size] = '\0';
return buffer;
}
static char *run(const char *cmd, int *exitstatus)
{
static const char redir[] = " 2>&1";
size_t cmdlen;
char *cmdredir;
FILE *cmdout;
char *ret;
cmdlen = strlen(cmd);
cmdredir = malloc(cmdlen + sizeof(redir));
memcpy(cmdredir, cmd, cmdlen);
memcpy(cmdredir + cmdlen, redir, sizeof(redir));
cmdout = popen(cmdredir, "r");
if (!cmdout)
c12r_err(1, "popen \"%s\"", cmdredir);
free(cmdredir);
ret = grab_stream(cmdout);
*exitstatus = pclose(cmdout);
return ret;
}
static char *connect_args(const char *argv[], const char *outflag,
const char *files)
{
unsigned int i;
char *ret;
size_t len = strlen(outflag) + strlen(files) + 1;
for (i = 1; argv[i]; i++)
len += 1 + strlen(argv[i]);
ret = malloc(len);
len = 0;
for (i = 1; argv[i]; i++) {
strcpy(ret + len, argv[i]);
len += strlen(argv[i]);
if (argv[i+1] || *outflag)
ret[len++] = ' ';
}
strcpy(ret + len, outflag);
len += strlen(outflag);
strcpy(ret + len, files);
return ret;
}
static struct test *find_test(const char *name)
{
unsigned int i;
for (i = 0; i < sizeof(tests)/sizeof(tests[0]); i++) {
if (strcmp(tests[i].name, name) == 0)
return &tests[i];
}
abort();
}
#define PRE_BOILERPLATE "/* Test program generated by configurator. */\n"
#define MAIN_START_BOILERPLATE \
"int main(int argc, char *argv[]) {\n" \
" (void)argc;\n" \
" (void)argv;\n"
#define USE_FUNC_BOILERPLATE "(void)func;\n"
#define MAIN_BODY_BOILERPLATE "return 0;\n"
#define MAIN_END_BOILERPLATE "}\n"
static bool run_test(const char *cmd, struct test *test)
{
char *output, *newcmd;
FILE *outf;
int status;
if (test->done)
return test->answer;
if (test->depends) {
size_t len;
const char *deps = test->depends;
char *dep;
/* Space-separated dependencies, could be ! for inverse. */
while ((len = strcspn(deps, " ")) != 0) {
bool positive = true;
if (deps[len]) {
dep = strdup(deps);
dep[len] = '\0';
} else {
dep = (char *)deps;
}
if (dep[0] == '!') {
dep++;
positive = false;
}
if (run_test(cmd, find_test(dep)) != positive) {
test->answer = false;
test->done = true;
return test->answer;
}
if (deps[len])
free(dep);
deps += len;
deps += strspn(deps, " ");
}
}
outf = fopen(INPUT_FILE, verbose > 1 ? "w+" : "w");
if (!outf)
c12r_err(1, "creating %s", INPUT_FILE);
fprintf(outf, "%s", PRE_BOILERPLATE);
switch (test->style & ~(EXECUTE|MAY_NOT_COMPILE)) {
case INSIDE_MAIN:
fprintf(outf, "%s", MAIN_START_BOILERPLATE);
fprintf(outf, "%s", test->fragment);
fprintf(outf, "%s", MAIN_END_BOILERPLATE);
break;
case OUTSIDE_MAIN:
fprintf(outf, "%s", test->fragment);
fprintf(outf, "%s", MAIN_START_BOILERPLATE);
fprintf(outf, "%s", MAIN_BODY_BOILERPLATE);
fprintf(outf, "%s", MAIN_END_BOILERPLATE);
break;
case DEFINES_FUNC:
fprintf(outf, "%s", test->fragment);
fprintf(outf, "%s", MAIN_START_BOILERPLATE);
fprintf(outf, "%s", USE_FUNC_BOILERPLATE);
fprintf(outf, "%s", MAIN_BODY_BOILERPLATE);
fprintf(outf, "%s", MAIN_END_BOILERPLATE);
break;
case DEFINES_EVERYTHING:
fprintf(outf, "%s", test->fragment);
break;
default:
abort();
}
if (verbose > 1) {
fseek(outf, 0, SEEK_SET);
fcopy(outf, stdout);
}
fclose(outf);
newcmd = strdup(cmd);
if (test->flags) {
newcmd = realloc(newcmd, strlen(newcmd) + strlen(" ")
+ strlen(test->flags) + 1);
strcat(newcmd, " ");
strcat(newcmd, test->flags);
if (verbose > 1)
printf("Extra flags line: %s", newcmd);
}
if (test->link) {
newcmd = realloc(newcmd, strlen(newcmd) + strlen(" ")
+ strlen(test->link) + 1);
strcat(newcmd, " ");
strcat(newcmd, test->link);
if (verbose > 1)
printf("Extra link line: %s", newcmd);
}
output = run(newcmd, &status);
free(newcmd);
if (status != 0 || strstr(output, "warning")) {
if (verbose)
printf("Compile %s for %s, status %i: %s\n",
status ? "fail" : "warning",
test->name, status, output);
if ((test->style & EXECUTE) && !(test->style & MAY_NOT_COMPILE))
c12r_errx(1, "Test for %s did not compile:\n%s",
test->name, output);
test->answer = false;
free(output);
} else {
/* Compile succeeded. */
free(output);
/* We run INSIDE_MAIN tests for sanity checking. */
if ((test->style & EXECUTE) || (test->style & INSIDE_MAIN)) {
output = run("." DIR_SEP OUTPUT_FILE, &status);
if (!(test->style & EXECUTE) && status != 0)
c12r_errx(1, "Test for %s failed with %i:\n%s",
test->name, status, output);
if (verbose && status)
printf("%s exited %i\n", test->name, status);
free(output);
}
test->answer = (status == 0);
}
test->done = true;
if (test->answer && test->overrides) {
struct test *override = find_test(test->overrides);
override->done = true;
override->answer = true;
}
return test->answer;
}
int main(int argc, const char *argv[])
{
char *cmd;
unsigned int i;
const char *default_args[]
= { "", DEFAULT_COMPILER, DEFAULT_FLAGS, NULL };
const char *outflag = DEFAULT_OUTPUT_EXE_FLAG;
if (argc > 0)
progname = argv[0];
while (argc > 1) {
if (strcmp(argv[1], "--help") == 0) {
printf("Usage: configurator [-v] [-O<outflag>] [<compiler> <flags>...]\n"
" <compiler> <flags> will have \"<outflag> <outfile> <infile.c>\" appended\n"
"Default: %s %s %s\n",
DEFAULT_COMPILER, DEFAULT_FLAGS,
DEFAULT_OUTPUT_EXE_FLAG);
exit(0);
}
if (strncmp(argv[1], "-O", 2) == 0) {
argc--;
argv++;
outflag = argv[1] + 2;
if (!*outflag) {
fprintf(stderr,
"%s: option requires an argument -- O\n",
argv[0]);
exit(1);
}
} else if (strcmp(argv[1], "-v") == 0) {
argc--;
argv++;
verbose++;
} else if (strcmp(argv[1], "-vv") == 0) {
argc--;
argv++;
verbose += 2;
} else {
break;
}
}
if (argc == 1)
argv = default_args;
cmd = connect_args(argv, outflag, OUTPUT_FILE " " INPUT_FILE);
for (i = 0; i < sizeof(tests)/sizeof(tests[0]); i++)
run_test(cmd, &tests[i]);
free(cmd);
remove(OUTPUT_FILE);
remove(INPUT_FILE);
printf("/* Generated by CCAN configurator */\n"
"#ifndef CCAN_CONFIG_H\n"
"#define CCAN_CONFIG_H\n");
printf("#ifndef _GNU_SOURCE\n");
printf("#define _GNU_SOURCE /* Always use GNU extensions. */\n");
printf("#endif\n");
printf("#define CCAN_COMPILER \"%s\"\n", argv[1]);
cmd = connect_args(argv + 1, "", "");
printf("#define CCAN_CFLAGS \"%s\"\n", cmd);
free(cmd);
printf("#define CCAN_OUTPUT_EXE_CFLAG \"%s\"\n\n", outflag);
/* This one implies "#include <ccan/..." works, eg. for tdb2.h */
printf("#define HAVE_CCAN 1\n");
for (i = 0; i < sizeof(tests)/sizeof(tests[0]); i++)
printf("#define %s %u\n", tests[i].name, tests[i].answer);
printf("#endif /* CCAN_CONFIG_H */\n");
return 0;
}
|
extract_image_patches.h | /* Copyright 2018 The Blueoil Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
=============================================================================*/
#ifndef DLK_FUNC_EXTRACT_IMAGE_PATCHES
#define DLK_FUNC_EXTRACT_IMAGE_PATCHES
#include <algorithm>
#include "global.h"
#include "tensor_view.h"
#include "time_measurement.h"
#include "pack_input_to_qwords.h"
#include <limits.h>
#ifdef USE_NEON
#include <arm_neon.h>
#endif
template <typename T>
void func_ExtractImagePatches(
const TensorView<T, MemoryLayout::NHWC>& input,
const TensorView<T, MemoryLayout::NHWC>& output,
T_UINT kernel_size, T_UINT stride) {
Measurement::Start("ExtractImagePatches");
const auto in_shape = input.get_shape();
const T_UINT input_width = in_shape[2];
const T_UINT input_depth = in_shape[3];
const auto out_shape = output.get_shape();
const T_UINT out_height = out_shape[1];
const T_UINT out_width = out_shape[2];
const T_UINT out_depth = out_shape[3];
for(T_UINT kz = 0; kz < input_depth; ++kz)
for(T_UINT wi = 0; wi < out_height; wi++)
for(T_UINT wj = 0; wj < out_width; wj++)
for(T_UINT ki = 0; ki < kernel_size; ki++)
for(T_UINT kj = 0; kj < kernel_size; kj++)
{
T_INT row = (wi * stride) + ki;
T_INT col = (wj * stride) + kj;
const auto ch = kz + (ki * kernel_size + kj) * input_depth;
const auto out_idx = wi * out_width * out_depth
+ wj * out_depth
+ ch;
const auto in_idx = row * input_width * input_depth
+ col * input_depth
+ kz;
output.data()[out_idx]
= input.data()[in_idx];
}
Measurement::Stop();
}
inline void func_ExtractImagePatches(
const TensorView<QUANTIZED_PACKED, MemoryLayout::HWChBCl>& input,
const TensorView<QUANTIZED_PACKED, MemoryLayout::HWChBCl>& output,
T_UINT kernel_size, T_UINT stride) {
Measurement::Start("ExtractImagePatches");
const auto in_shape = input.get_shape();
const T_UINT input_width = in_shape[1];
const T_UINT input_depth = in_shape[2];
const T_UINT bits_per_input = in_shape[3];
const auto out_shape = output.get_shape();
const T_UINT out_height = out_shape[0];
const T_UINT out_width = out_shape[1];
const T_UINT out_depth = out_shape[2];
T_UINT output_index = 0;
if (out_depth < kernel_size * kernel_size) {
int bit_shift = out_depth * QUANTIZED_PACKED::BitCount / (kernel_size * kernel_size);
const QUANTIZED_PACKED::base_t mask((QUANTIZED_PACKED::base_t(1) << bit_shift) - 1);
std::fill(output.data(), output.data() + output.size(), QUANTIZED_PACKED(0));
for(T_UINT wi = 0; wi < out_height; wi++)
for(T_UINT wj = 0; wj < out_width; wj++)
for(T_UINT ki = 0; ki < kernel_size; ki++)
for(T_UINT kj = 0; kj < kernel_size; kj++)
{
T_INT row = (wi * stride) + ki;
T_INT col = (wj * stride) + kj;
T_UINT ch = (ki * kernel_size + kj) * bit_shift;
T_UINT ch_high = ch / QUANTIZED_PACKED::BitCount;
T_UINT ch_low = ch % QUANTIZED_PACKED::BitCount;
#ifdef USE_NEON
const auto out_idx = wi * out_width * out_depth * bits_per_input
+ wj * out_depth * bits_per_input
+ ch_high * bits_per_input;
const auto in_idx = row * input_width * input_depth * bits_per_input
+ col * input_depth * bits_per_input;
const auto in = vld1_u32(reinterpret_cast<uint32_t*>(input.data() + in_idx));
const auto masked = vand_u32(vdup_n_u32(mask), in);
#ifdef AARCH32
const auto shifted = vshl_u32(masked, vdup_n_s32(ch_low));
#else
const auto shifted = vshl_n_u32(masked, ch_low);
#endif
const auto out_old = vld1_u32(reinterpret_cast<uint32_t*>(output.data() + out_idx));
const auto out_new = vorr_u32(out_old, shifted);
vst1_u32(reinterpret_cast<uint32_t*>(output.data() + out_idx), out_new);
#else
for(T_UINT digit = 0; digit < bits_per_input; ++digit) {
const auto out_idx = wi * out_width * out_depth * bits_per_input
+ wj * out_depth * bits_per_input
+ ch_high * bits_per_input
+ digit;
const auto in_idx = row * input_width * input_depth * bits_per_input
+ col * input_depth * bits_per_input
+ digit;
output.data()[out_idx] |= QUANTIZED_PACKED((mask & input.data()[in_idx].Raw()) << ch_low);
}
#endif
}
} else {
for(T_UINT ih = 0; ih < input_depth; ++ih)
for(T_UINT wi = 0; wi < out_height; wi++)
for(T_UINT wj = 0; wj < out_width; wj++)
for(T_UINT ki = 0; ki < kernel_size; ki++)
for(T_UINT kj = 0; kj < kernel_size; kj++)
{
T_INT row = (wi * stride) + ki;
T_INT col = (wj * stride) + kj;
#ifdef USE_NEON
const auto ch_high = ih + (ki * kernel_size + kj) * input_depth;
const auto out_idx = wi * out_width * out_depth * bits_per_input
+ wj * out_depth * bits_per_input
+ ch_high * bits_per_input;
const auto in_idx = row * input_width * input_depth * bits_per_input
+ col * input_depth * bits_per_input
+ ih * bits_per_input;
const auto in = vld1_u32(reinterpret_cast<uint32_t*>(input.data() + in_idx));
vst1_u32(reinterpret_cast<uint32_t*>(output.data() + out_idx), in);
#else
for(T_UINT digit = 0; digit < bits_per_input; ++digit) {
const auto ch_high = ih + (ki * kernel_size + kj) * input_depth;
const auto out_idx = wi * out_width * out_depth * bits_per_input
+ wj * out_depth * bits_per_input
+ ch_high * bits_per_input
+ digit;
const auto in_idx = row * input_width * input_depth * bits_per_input
+ col * input_depth * bits_per_input
+ ih * bits_per_input
+ digit;
output.data()[out_idx]
= input.data()[in_idx];
}
#endif
}
}
Measurement::Stop();
}
inline void func_ExtractImagePatches(
const TensorView<QUANTIZED_PACKED, MemoryLayout::ChHWBCl>& input,
const TensorView<QUANTIZED_PACKED, MemoryLayout::ChHWBCl>& output,
T_UINT kernel_size, T_UINT stride)
{
Measurement::Start("ExtractImagePatches");
const auto in_shape = input.get_shape();
const T_UINT input_height = in_shape[1];
const T_UINT input_width = in_shape[2];
const T_UINT input_depth = in_shape[0];
const T_UINT bits_per_input = in_shape[3];
const auto out_shape = output.get_shape();
const T_UINT out_height = out_shape[1];
const T_UINT out_width = out_shape[2];
const T_UINT out_depth = out_shape[0];
T_UINT output_index = 0;
if (out_depth < kernel_size * kernel_size) {
const T_UINT kernel_area = kernel_size * kernel_size;
const T_UINT bit_shift = out_depth * QUANTIZED_PACKED::BitCount / kernel_area;
const QUANTIZED_PACKED::base_t mask((QUANTIZED_PACKED::base_t(1) << bit_shift) - 1);
const T_UINT lb_kernel_size = __builtin_ctz(kernel_size);
const T_UINT kernel_mask = (1 << lb_kernel_size) - 1;
#ifdef USE_NEON
const auto shift_ref = vcombine_s32(vdup_n_s32(0), vdup_n_s32(bit_shift));
const auto add = vdupq_n_s32(bit_shift * 2);
const auto mask_v = vdupq_n_u32(mask);
#else
const uint64_t mask64 = mask * 0x1'0000'0001ull;
#endif
const T_UINT blocks = kernel_area / out_depth;
#pragma omp parallel for
for(T_UINT wi = 0; wi < out_height; wi++)
for(T_UINT wj = 0; wj < out_width; wj++)
#ifdef USE_NEON
for(T_UINT k = 0; k < out_depth; ++k) {
auto tmp = vdupq_n_u32(0);
auto shift = shift_ref;
for(T_UINT i = 0; i < blocks; i += 2) {
T_UINT ki = (k * blocks + i) >> lb_kernel_size;
T_UINT kj = (k * blocks + i) & kernel_mask;
T_INT row = (wi * stride) + ki;
T_INT col = (wj * stride) + kj;
const auto in_idx = row * input_width * bits_per_input
+ col * bits_per_input;
const auto in = vld1q_u32(reinterpret_cast<uint32_t*>(input.data() + in_idx));
const auto masked = vandq_u32(mask_v, in);
const auto shifted = vshlq_u32(masked, shift);
shift += add;
tmp |= shifted;
}
const auto out = vorr_u32(vget_low_u32(tmp), vget_high_u32(tmp));
const auto out_idx = k * out_height * out_width * bits_per_input
+ wi * out_width * bits_per_input
+ wj * bits_per_input;
vst1_u32(reinterpret_cast<uint32_t*>(output.data() + out_idx), out);
}
#else
for(T_UINT k = 0; k < out_depth; ++k) {
uint64_t out = 0;
for(T_UINT i = 0; i < blocks; ++i) {
T_UINT ki = (k * blocks + i) >> lb_kernel_size;
T_UINT kj = (k * blocks + i) & kernel_mask;
T_INT row = (wi * stride) + ki;
T_INT col = (wj * stride) + kj;
const auto in_idx = row * input_width * bits_per_input
+ col * bits_per_input;
const auto in = *reinterpret_cast<uint64_t*>(input.data() + in_idx);
out |= (mask64 & in) << (i * bit_shift);
}
const auto out_idx = k * out_height * out_width * bits_per_input
+ wi * out_width * bits_per_input
+ wj * bits_per_input;
*reinterpret_cast<uint64_t*>(output.data() + out_idx) = out;
}
#endif
} else {
for(T_UINT ih = 0; ih < input_depth; ++ih)
for(T_UINT wi = 0; wi < out_height; wi++)
for(T_UINT wj = 0; wj < out_width; wj++)
for(T_UINT ki = 0; ki < kernel_size; ki++)
for(T_UINT kj = 0; kj < kernel_size; kj++)
{
T_INT row = (wi * stride) + ki;
T_INT col = (wj * stride) + kj;
const auto ch_high = ih + (ki * kernel_size + kj) * input_depth;
const auto out_idx = ch_high * out_height * out_width * bits_per_input
+ wi * out_width * bits_per_input
+ wj * bits_per_input;
const auto in_idx = ih * input_height * input_width * bits_per_input
+ row * input_width * bits_per_input
+ col * bits_per_input;
#ifdef USE_NEON
const auto in = vld1_u32(reinterpret_cast<uint32_t*>(input.data() + in_idx));
vst1_u32(reinterpret_cast<uint32_t*>(output.data() + out_idx), in);
#else
*reinterpret_cast<uint64_t*>(output.data() + out_idx) =
*reinterpret_cast<uint64_t*>(input.data() + in_idx);
#endif
}
}
Measurement::Stop();
}
#endif // DLK_FUNC_EXTRACT_IMAGE_PATCHES
|
Cylinder.h | #ifndef CYLINDER_HEADER
#define CYLINDER_HEADER
#include "basic.h"
#include <stdexcept>
#include <utility>
#include <MiscLib/Vector.h>
#include "PointCloud.h"
#include <ostream>
#include <istream>
#include <GfxTL/HyperplaneCoordinateSystem.h>
#include <stdio.h>
#include <MiscLib/NoShrinkVector.h>
#include "LevMarLSWeight.h"
#include "LevMarFitting.h"
#ifndef DLL_LINKAGE
#define DLL_LINKAGE
#endif
class DLL_LINKAGE Cylinder
{
public:
struct ParallelNormalsError
: public std::runtime_error
{
ParallelNormalsError();
};
enum { RequiredSamples = 2 };
Cylinder();
Cylinder(const Vec3f &axisDir, const Vec3f &axisPos, float radius);
Cylinder(const Vec3f &pointA, const Vec3f &pointB,
const Vec3f &normalA, const Vec3f &normalB);
bool Init(const MiscLib::Vector< Vec3f > &samples);
bool InitAverage(const MiscLib::Vector< Vec3f > &samples);
bool Init(const Vec3f &axisDir, const Vec3f &axisPos, float radius);
bool Init(const Vec3f &pointA, const Vec3f &pointB,
const Vec3f &normalA, const Vec3f &normalB);
bool Init(bool binary, std::istream *i);
void Init(FILE *i);
void Init(float* array);
inline float Distance(const Vec3f &p) const;
inline void Normal(const Vec3f &p, Vec3f *normal) const;
inline float DistanceAndNormal(const Vec3f &p, Vec3f *normal) const;
inline float SignedDistance(const Vec3f &p) const;
void Project(const Vec3f &p, Vec3f *pp) const;
// parameters are (height, angle)
void Parameters(const Vec3f &p,
std::pair< float, float > *param) const;
float Radius() const;
float &Radius();
const Vec3f &AxisDirection() const;
Vec3f &AxisDirection();
const Vec3f &AxisPosition() const;
Vec3f &AxisPosition();
const Vec3f AngularDirection() const;
void RotateAngularDirection(float radians);
bool LeastSquaresFit(const PointCloud &pc,
MiscLib::Vector< size_t >::const_iterator begin,
MiscLib::Vector< size_t >::const_iterator end);
template< class IteratorT >
bool LeastSquaresFit(IteratorT begin, IteratorT end);
bool Fit(const PointCloud &pc,
MiscLib::Vector< size_t >::const_iterator begin,
MiscLib::Vector< size_t >::const_iterator end)
{ return LeastSquaresFit(pc, begin, end); }
static bool Interpolate(const MiscLib::Vector< Cylinder > &cylinders,
const MiscLib::Vector< float > &weights, Cylinder *ic);
void Serialize(bool binary, std::ostream *o) const;
static size_t SerializedSize();
void Serialize(FILE *o) const;
void Serialize(float* array) const;
static size_t SerializedFloatSize();
void Transform(float scale, const Vec3f &translate);
void Transform(const GfxTL::MatrixXX< 3, 3, float > &rot,
const GfxTL::Vector3Df &trans);
inline unsigned int Intersect(const Vec3f &p, const Vec3f &r,
float *first, float *second) const;
private:
template< class WeightT >
class LevMarCylinder
: public WeightT
{
public:
enum { NumParams = 7 };
typedef float ScalarType;
template< class IteratorT >
ScalarType Chi(const ScalarType *params, IteratorT begin, IteratorT end,
ScalarType *values, ScalarType *temp) const
{
ScalarType chi = 0;
int size = end - begin;
#pragma omp parallel for schedule(static) reduction(+:chi)
for(int idx = 0; idx < size; ++idx)
{
Vec3f s;
for(unsigned int j = 0; j < 3; ++j)
s[j] = begin[idx][j] - params[j];
ScalarType u = params[5] * s[1] - params[4] * s[2];
u *= u;
ScalarType v = params[3] * s[2] - params[5] * s[0];
u += v * v;
v = params[4] * s[0] - params[3] * s[1];
u += v * v;
temp[idx] = std::sqrt(u);
chi += (values[idx] = WeightT::Weigh(temp[idx] - params[6]))
* values[idx];
}
return chi;
}
template< class IteratorT >
void Derivatives(const ScalarType *params, IteratorT begin, IteratorT end,
const ScalarType *values, const ScalarType *temp, ScalarType *matrix) const
{
int size = end - begin;
#pragma omp parallel for schedule(static)
for(int idx = 0; idx < size; ++idx)
{
Vec3f s;
for(unsigned int j = 0; j < 3; ++j)
s[j] = begin[idx][j] - params[j];
ScalarType g = s[0] * begin[idx][0] + s[1] * begin[idx][1]
+ s[2] * begin[idx][2];
if(temp[idx] < 1e-6)
{
matrix[idx * NumParams + 0] = std::sqrt(1 - params[3] * params[3]);
matrix[idx * NumParams + 1] = std::sqrt(1 - params[4] * params[4]);
matrix[idx * NumParams + 2] = std::sqrt(1 - params[5] * params[5]);
}
else
{
matrix[idx * NumParams + 0] = (params[3] * g - s[0]) / temp[idx];
matrix[idx * NumParams + 1] = (params[4] * g - s[1]) / temp[idx];
matrix[idx * NumParams + 2] = (params[5] * g - s[2]) / temp[idx];
}
matrix[idx * NumParams + 3] = g * matrix[idx * NumParams + 0];
matrix[idx * NumParams + 4] = g * matrix[idx * NumParams + 1];
matrix[idx * NumParams + 5] = g * matrix[idx * NumParams + 2];
matrix[idx * NumParams + 6] = -1;
WeightT::template DerivWeigh< NumParams >(temp[idx] - params[6],
matrix + idx * NumParams);
}
}
void Normalize(ScalarType *params) const
{
ScalarType l = std::sqrt(params[3] * params[3] + params[4] * params[4]
+ params[5] * params[5]);
for(unsigned int i = 3; i < 6; ++i)
params[i] /= l;
// find point on axis closest to origin
float lambda = -(params[0] * params[3] + params[1] * params[4] +
params[2] * params[5]);
for(unsigned int i = 0; i < 3; ++i)
params[i] = params[i] + lambda * params[i + 3];
}
};
private:
Vec3f m_axisDir;
Vec3f m_axisPos;
float m_radius;
GfxTL::HyperplaneCoordinateSystem< float, 3 > m_hcs;
float m_angularRotatedRadians;
};
inline float Cylinder::Distance(const Vec3f &p) const
{
Vec3f diff = p - m_axisPos;
float lambda = m_axisDir.dot(diff);
float axisDist = (diff - lambda * m_axisDir).length();
return abs(axisDist - m_radius);
}
inline void Cylinder::Normal(const Vec3f &p, Vec3f *normal) const
{
Vec3f diff = p - m_axisPos;
float lambda = m_axisDir.dot(diff);
*normal = diff - lambda * m_axisDir;
normal->normalize();
}
inline float Cylinder::DistanceAndNormal(const Vec3f &p, Vec3f *normal) const
{
Vec3f diff = p - m_axisPos;
float lambda = m_axisDir.dot(diff);
*normal = diff - lambda * m_axisDir;
float axisDist = normal->length();
if(axisDist > 0)
*normal /= axisDist;
return abs(axisDist - m_radius);
}
inline float Cylinder::SignedDistance(const Vec3f &p) const
{
Vec3f diff = p - m_axisPos;
float lambda = m_axisDir.dot(diff);
float axisDist = (diff - lambda * m_axisDir).length();
return axisDist - m_radius;
}
template< class IteratorT >
bool Cylinder::LeastSquaresFit(IteratorT begin, IteratorT end)
{
float param[7];
for(size_t i = 0; i < 3; ++i)
param[i] = m_axisPos[i];
for(size_t i = 0; i < 3; ++i)
param[i + 3] = m_axisDir[i];
param[6] = m_radius;
LevMarCylinder< LevMarLSWeight > levMarCylinder;
if(!LevMar(begin, end, levMarCylinder, param))
return false;
for(size_t i = 0; i < 3; ++i)
m_axisPos[i] = param[i];
for(size_t i = 0; i < 3; ++i)
m_axisDir[i] = param[i + 3];
m_radius = param[6];
m_hcs.FromNormal(m_axisDir);
m_angularRotatedRadians = 0;
return true;
}
inline unsigned int Cylinder::Intersect(const Vec3f &p, const Vec3f &r,
float *first, float *second) const
{
using namespace std;
// Create a coordinate system for the cylinder. In this system, the
// cylinder segment center C is the origin and the cylinder axis direction
// W is the z-axis. U and V are the other coordinate axis directions.
// If P = x*U+y*V+z*W, the cylinder is x^2 + y^2 = r^2, where r is the
// cylinder radius. The end caps are |z| = h/2, where h is the cylinder
// height.
float fRSqr = m_radius * m_radius;
// convert incoming line origin to cylinder coordinates
Vec3f kDiff = p - m_axisPos;
Vec3f kP(kDiff.dot(m_hcs[0]), kDiff.dot(m_hcs[1]), m_axisDir.dot(kDiff));
// Get the z-value, in cylinder coordinates, of the incoming line's
// unit-length direction.
float fDz = m_axisDir.dot(r);
if(abs(fDz) >= 1.f - 1e-7f)
// The line is parallel to the cylinder axis.
return 0;
// convert incoming line unit-length direction to cylinder coordinates
Vec3f kD(r.dot(m_hcs[0]), r.dot(m_hcs[1]), r.dot(m_axisDir));
float fA0, fA1, fA2, fDiscr, fRoot, fInv;
// Test intersection of line P+t*D with infinite cylinder
// x^2+y^2 = r^2. This reduces to computing the roots of a
// quadratic equation. If P = (px,py,pz) and D = (dx,dy,dz),
// then the quadratic equation is
// (dx^2+dy^2)*t^2 + 2*(px*dx+py*dy)*t + (px^2+py^2-r^2) = 0
fA0 = kP[0]*kP[0] + kP[1]*kP[1] - fRSqr;
fA1 = kP[0]*kD[0] + kP[1]*kD[1];
fA2 = kD[0]*kD[0] + kD[1]*kD[1];
fDiscr = fA1*fA1 - fA0*fA2;
if (fDiscr < 0)
// line does not intersect cylinder
return 0;
else if (fDiscr > 1e-7f)
{
// line intersects cylinder in two places
fRoot = sqrt(fDiscr);
fInv = (1.f)/fA2;
*first = (-fA1 - fRoot)*fInv;
*second = (-fA1 + fRoot)*fInv;
return 2;
}
// line is tangent to the cylinder
*first = -fA1/fA2;
return 1;
}
#endif
|
parallel_for_loop_test.c | #include <stdio.h>
#include <omp.h>
int main(){
#pragma omp parallel num_threads(4)
{
#pragma omp for
for (int i = 0; i < 12;i++){
int ID = omp_get_thread_num();
printf("CPU<%d>: %d\n",ID, i);
}
}
printf("-------------------\n");
omp_set_num_threads(4);
#pragma omp parallel for
for (int i = 0; i < 12;i++){
int ID = omp_get_thread_num();
printf("CPU<%d>: %d\n",ID, i);
}
printf("\n");
return 0;
} |
eavlReduceOp_1.h | // Copyright 2010-2014 UT-Battelle, LLC. See LICENSE.txt for more information.
#ifndef EAVL_REDUCE_OP_1_H
#define EAVL_REDUCE_OP_1_H
#include "eavlOperation.h"
#include "eavlArray.h"
#include "eavlOpDispatch_io1.h"
#include "eavlTimer.h"
#ifdef HAVE_OPENMP
#include <omp.h>
#endif
#ifndef DOXYGEN
#ifdef HAVE_OPENMP
template <class F,
class IO0>
struct cpuReduceOp_1_function
{
static void call(int n, int &dummy,
IO0 *i0, int i0div, int i0mod, int i0mul, int i0add,
IO0 *o0, int o0mul, int o0add,
F &functor)
{
if (n == 0)
{
*o0 = functor.identity();
return;
}
IO0 *tmp = NULL;
#pragma omp parallel default(none) shared(cerr,tmp,n,i0,i0div,i0mod,i0mul,i0add,o0,o0mul,o0add,functor)
{
int nthreads = std::min(omp_get_num_threads(), n);
int threadid = omp_get_thread_num();
#pragma omp single
{
tmp = new IO0[nthreads];
for (int i=0; i<nthreads; i++)
{
int index_i0 = ((i / i0div) % i0mod) * i0mul + i0add;
tmp[i] = i0[index_i0];
}
}
#pragma omp barrier
// we might be able to change this to use a omp for directive,
// but if so, just do nthreads to n, not strided
for (int i=nthreads+threadid; i<n; i+=nthreads)
{
int index_i0 = ((i / i0div) % i0mod) * i0mul + i0add;
tmp[threadid] = functor(i0[index_i0], tmp[threadid]);
}
#pragma omp barrier
#pragma omp single
{
*o0 = tmp[0];
for (int i=1; i<nthreads; i++)
{
*o0 = functor(tmp[i],*o0);
}
}
}
delete[] tmp;
}
};
#else
template <class F,
class IO0>
struct cpuReduceOp_1_function
{
static void call(int n, int &dummy,
IO0 *i0, int i0div, int i0mod, int i0mul, int i0add,
IO0 *o0, int o0mul, int o0add,
F &functor)
{
if (n == 0)
{
*o0 = functor.identity();
return;
}
*o0 = *i0;
for (int i=1; i<n; i++)
{
int index_i0 = ((i / i0div) % i0mod) * i0mul + i0add;
*o0 = functor(i0[index_i0], *o0);
}
}
};
#endif
#if defined __CUDACC__
// Reduction Kernel
template <class F, class T, int blockSize>
__global__ void
reduceKernel_1(int n,
const T * __restrict__ i0, int i0div, int i0mod, int i0mul, int i0add,
T * __restrict__ o0, int o0mul, int o0add,
F functor,
T identity)
{
const unsigned int tid = threadIdx.x;
unsigned int i = (blockIdx.x*(blockDim.x*2)) + tid;
const unsigned int gridSize = blockDim.x*2*gridDim.x;
volatile __shared__ T sdata[256];
sdata[tid] = identity;
// Reduce multiple elements per thread
while (i < n)
{
sdata[tid] = functor(sdata[tid], i0[((i/i0div)%i0mod)*i0mul+i0add]);
if (i+blockSize < n)
sdata[tid] = functor(sdata[tid], i0[(((i+blockSize)/i0div)%i0mod)*i0mul+i0add]);
i += gridSize;
}
__syncthreads();
// Reduce the contents of shared memory
// NB: This is an unrolled loop, and assumes warp-syncrhonous
// execution.
if (blockSize >= 512)
{
if (tid < 256)
{
sdata[tid] = functor(sdata[tid], sdata[tid + 256]);
}
__syncthreads();
}
if (blockSize >= 256)
{
if (tid < 128)
{
sdata[tid] = functor(sdata[tid], sdata[tid + 128]);
}
__syncthreads();
}
if (blockSize >= 128)
{
if (tid < 64)
{
sdata[tid] = functor(sdata[tid], sdata[tid + 64]);
}
__syncthreads();
}
if (tid < warpSize)
{
// NB2: This section would also need __sync calls if warp
// synchronous execution were not assumed
if (blockSize >= 64) sdata[tid] = functor(sdata[tid], sdata[tid + 32]);
if (blockSize >= 32) sdata[tid] = functor(sdata[tid], sdata[tid + 16]);
if (blockSize >= 16) sdata[tid] = functor(sdata[tid], sdata[tid + 8]);
if (blockSize >= 8) sdata[tid] = functor(sdata[tid], sdata[tid + 4]);
if (blockSize >= 4) sdata[tid] = functor(sdata[tid], sdata[tid + 2]);
if (blockSize >= 2) sdata[tid] = functor(sdata[tid], sdata[tid + 1]);
}
// Write result for this block to global memory
if (tid == 0)
{
o0[blockIdx.x*o0mul+o0add] = sdata[0];
}
}
template<class T>
struct Reduce_Temp_Storage
{
static int nvals;
static T *device;
static T *host;
};
template <class T> int Reduce_Temp_Storage<T>::nvals = 0;
template <class T> T *Reduce_Temp_Storage<T>::device = NULL;
template <class T> T *Reduce_Temp_Storage<T>::host = NULL;
///\todo: big question: do we WANT the reduction to put the result
/// in an output array? or just return it to the host?
template <class F, class IO0>
struct gpuReduceOp_1_function
{
static void call(int n, int &dummy,
IO0 *d_i0, int i0div, int i0mod, int i0mul, int i0add,
IO0 *d_o0, int o0mul, int o0add,
F &functor)
{
int numBlocks = 64;
if (Reduce_Temp_Storage<IO0>::nvals < numBlocks)
{
if (Reduce_Temp_Storage<IO0>::device)
cudaFree(Reduce_Temp_Storage<IO0>::device);
// allocate at least 4k
Reduce_Temp_Storage<IO0>::nvals = (numBlocks < 4096) ? 4096 : numBlocks;
cudaMalloc((void**)&Reduce_Temp_Storage<IO0>::device,
Reduce_Temp_Storage<IO0>::nvals * sizeof(IO0));
Reduce_Temp_Storage<IO0>::host = new IO0[Reduce_Temp_Storage<IO0>::nvals];
CUDA_CHECK_ERROR();
}
IO0 identity = functor.identity();
// fixing at 256 threads
reduceKernel_1<F,IO0,256><<<numBlocks, 256>>>(n,
d_i0, i0div, i0mod, i0mul, i0add,
Reduce_Temp_Storage<IO0>::device, 1, 0,
functor,
identity);
CUDA_CHECK_ERROR();
// cudaMemcpy(Reduce_Temp_Storage<IO0>::host,
// Reduce_Temp_Storage<IO0>::device,
// numBlocks * sizeof(IO0),
// cudaMemcpyDeviceToHost);
// for (int i=0; i<numBlocks; i++)
// cerr << "host["<<i<<"] = "<<Reduce_Temp_Storage<IO0>::host[i]<<endl;
reduceKernel_1<F,IO0,256><<<1, 256>>>(numBlocks,
Reduce_Temp_Storage<IO0>::device, 1, 1e9, 1, 0,
d_o0, o0mul, o0add,
functor,
identity);
CUDA_CHECK_ERROR();
}
};
#endif
#endif // DOXYGEN
// ****************************************************************************
// Class: eavlReduceOp_1
//
// Purpose:
/// A simple reduce operation; performs the given 2-input functor on an
/// input array (assuming it is associative and commutative, like addition),
/// and places the result in the first index in the output array.
//
// Programmer: Jeremy Meredith
// Creation: April 13, 2012
//
// Modifications: Matt Larse 10/21/2014 - added ability to process subset of
// input
// ****************************************************************************
template <class F>
class eavlReduceOp_1 : public eavlOperation
{
protected:
eavlArrayWithLinearIndex inArray0;
eavlArrayWithLinearIndex outArray0;
F functor;
int nitems;
public:
eavlReduceOp_1(eavlArrayWithLinearIndex in0,
eavlArrayWithLinearIndex out0,
F f)
: inArray0(in0), outArray0(out0), functor(f)
{
nitems = -1;
}
eavlReduceOp_1(eavlArrayWithLinearIndex in0,
eavlArrayWithLinearIndex out0,
F f, int itemsToProcess)
: inArray0(in0), outArray0(out0), functor(f)
{
nitems = itemsToProcess;
}
virtual void GoCPU()
{
if(nitems < 1) nitems = inArray0.array->GetNumberOfTuples();
int dummy;
eavlDispatch_io1<cpuReduceOp_1_function>(nitems, eavlArray::HOST, dummy,
inArray0.array, inArray0.div, inArray0.mod, inArray0.mul, inArray0.add,
outArray0.array, outArray0.mul, outArray0.add,
functor);
}
virtual void GoGPU()
{
#if defined __CUDACC__
if(nitems < 1) nitems = inArray0.array->GetNumberOfTuples();
int dummy;
eavlDispatch_io1<gpuReduceOp_1_function>(nitems, eavlArray::DEVICE, dummy,
inArray0.array, inArray0.div, inArray0.mod, inArray0.mul, inArray0.add,
outArray0.array, outArray0.mul, outArray0.add,
functor);
#else
THROW(eavlException,"Executing GPU code without compiling under CUDA compiler.");
#endif
}
};
#endif
|
enhance.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% EEEEE N N H H AAA N N CCCC EEEEE %
% E NN N H H A A NN N C E %
% EEE N N N HHHHH AAAAA N N N C EEE %
% E N NN H H A A N NN C E %
% EEEEE N N H H A A N N CCCC EEEEE %
% %
% %
% MagickCore Image Enhancement Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/accelerate-private.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/fx.h"
#include "MagickCore/gem.h"
#include "MagickCore/gem-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/histogram.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/quantum.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resample.h"
#include "MagickCore/resample-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/threshold.h"
#include "MagickCore/token.h"
#include "MagickCore/xml-tree.h"
#include "MagickCore/xml-tree-private.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o G a m m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoGammaImage() extract the 'mean' from the image and adjust the image
% to try make set its gamma appropriately.
%
% The format of the AutoGammaImage method is:
%
% MagickBooleanType AutoGammaImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image to auto-level
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType AutoGammaImage(Image *image,
ExceptionInfo *exception)
{
double
gamma,
log_mean,
mean,
sans;
MagickStatusType
status;
register ssize_t
i;
log_mean=log(0.5);
if (image->channel_mask == DefaultChannels)
{
/*
Apply gamma correction equally across all given channels.
*/
(void) GetImageMean(image,&mean,&sans,exception);
gamma=log(mean*QuantumScale)/log_mean;
return(LevelImage(image,0.0,(double) QuantumRange,gamma,exception));
}
/*
Auto-gamma each channel separately.
*/
status=MagickTrue;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
ChannelType
channel_mask;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
channel_mask=SetImageChannelMask(image,(ChannelType) (1UL << i));
status=GetImageMean(image,&mean,&sans,exception);
gamma=log(mean*QuantumScale)/log_mean;
status&=LevelImage(image,0.0,(double) QuantumRange,gamma,exception);
(void) SetImageChannelMask(image,channel_mask);
if (status == MagickFalse)
break;
}
return(status != 0 ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o L e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoLevelImage() adjusts the levels of a particular image channel by
% scaling the minimum and maximum values to the full quantum range.
%
% The format of the LevelImage method is:
%
% MagickBooleanType AutoLevelImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image to auto-level
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType AutoLevelImage(Image *image,
ExceptionInfo *exception)
{
return(MinMaxStretchImage(image,0.0,0.0,1.0,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B r i g h t n e s s C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BrightnessContrastImage() changes the brightness and/or contrast of an
% image. It converts the brightness and contrast parameters into slope and
% intercept and calls a polynomical function to apply to the image.
%
% The format of the BrightnessContrastImage method is:
%
% MagickBooleanType BrightnessContrastImage(Image *image,
% const double brightness,const double contrast,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o brightness: the brightness percent (-100 .. 100).
%
% o contrast: the contrast percent (-100 .. 100).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType BrightnessContrastImage(Image *image,
const double brightness,const double contrast,ExceptionInfo *exception)
{
#define BrightnessContastImageTag "BrightnessContast/Image"
double
alpha,
coefficients[2],
intercept,
slope;
MagickBooleanType
status;
/*
Compute slope and intercept.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
alpha=contrast;
slope=tan((double) (MagickPI*(alpha/100.0+1.0)/4.0));
if (slope < 0.0)
slope=0.0;
intercept=brightness/100.0+((100-brightness)/200.0)*(1.0-slope);
coefficients[0]=slope;
coefficients[1]=intercept;
status=FunctionImage(image,PolynomialFunction,2,coefficients,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C L A H E I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CLAHEImage() is a variant of adaptive histogram equalization in which the
% contrast amplification is limited, so as to reduce this problem of noise
% amplification.
%
% Adapted from implementation by Karel Zuiderveld, karel@cv.ruu.nl in
% "Graphics Gems IV", Academic Press, 1994.
%
% The format of the CLAHEImage method is:
%
% MagickBooleanType CLAHEImage(Image *image,const size_t width,
% const size_t height,const size_t number_bins,const double clip_limit,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o width: the width of the tile divisions to use in horizontal direction.
%
% o height: the height of the tile divisions to use in vertical direction.
%
% o number_bins: number of bins for histogram ("dynamic range").
%
% o clip_limit: contrast limit for localised changes in contrast. A limit
% less than 1 results in standard non-contrast limited AHE.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef struct _RangeInfo
{
unsigned short
min,
max;
} RangeInfo;
static void ClipCLAHEHistogram(const double clip_limit,const size_t number_bins,
size_t *histogram)
{
#define NumberCLAHEGrays (65536)
register ssize_t
i;
size_t
cumulative_excess,
previous_excess,
step;
ssize_t
excess;
/*
Compute total number of excess pixels.
*/
cumulative_excess=0;
for (i=0; i < (ssize_t) number_bins; i++)
{
excess=(ssize_t) histogram[i]-(ssize_t) clip_limit;
if (excess > 0)
cumulative_excess+=excess;
}
/*
Clip histogram and redistribute excess pixels across all bins.
*/
step=cumulative_excess/number_bins;
excess=(ssize_t) (clip_limit-step);
for (i=0; i < (ssize_t) number_bins; i++)
{
if ((double) histogram[i] > clip_limit)
histogram[i]=(size_t) clip_limit;
else
if ((ssize_t) histogram[i] > excess)
{
cumulative_excess-=histogram[i]-excess;
histogram[i]=(size_t) clip_limit;
}
else
{
cumulative_excess-=step;
histogram[i]+=step;
}
}
/*
Redistribute remaining excess.
*/
do
{
register size_t
*p;
size_t
*q;
previous_excess=cumulative_excess;
p=histogram;
q=histogram+number_bins;
while ((cumulative_excess != 0) && (p < q))
{
step=number_bins/cumulative_excess;
if (step < 1)
step=1;
for (p=histogram; (p < q) && (cumulative_excess != 0); p+=step)
if ((double) *p < clip_limit)
{
(*p)++;
cumulative_excess--;
}
p++;
}
} while ((cumulative_excess != 0) && (cumulative_excess < previous_excess));
}
static void GenerateCLAHEHistogram(const RectangleInfo *clahe_info,
const RectangleInfo *tile_info,const size_t number_bins,
const unsigned short *lut,const unsigned short *pixels,size_t *histogram)
{
register const unsigned short
*p;
register ssize_t
i;
/*
Classify the pixels into a gray histogram.
*/
for (i=0; i < (ssize_t) number_bins; i++)
histogram[i]=0L;
p=pixels;
for (i=0; i < (ssize_t) tile_info->height; i++)
{
const unsigned short
*q;
q=p+tile_info->width;
while (p < q)
histogram[lut[*p++]]++;
q+=clahe_info->width;
p=q-tile_info->width;
}
}
static void InterpolateCLAHE(const RectangleInfo *clahe_info,const size_t *Q12,
const size_t *Q22,const size_t *Q11,const size_t *Q21,
const RectangleInfo *tile,const unsigned short *lut,unsigned short *pixels)
{
ssize_t
y;
unsigned short
intensity;
/*
Bilinear interpolate four tiles to eliminate boundary artifacts.
*/
for (y=(ssize_t) tile->height; y > 0; y--)
{
register ssize_t
x;
for (x=(ssize_t) tile->width; x > 0; x--)
{
intensity=lut[*pixels];
*pixels++=(unsigned short) (PerceptibleReciprocal((double) tile->width*
tile->height)*(y*((double) x*Q12[intensity]+(tile->width-x)*
Q22[intensity])+(tile->height-y)*((double) x*Q11[intensity]+
(tile->width-x)*Q21[intensity])));
}
pixels+=(clahe_info->width-tile->width);
}
}
static void GenerateCLAHELut(const RangeInfo *range_info,
const size_t number_bins,unsigned short *lut)
{
ssize_t
i;
unsigned short
delta;
/*
Scale input image [intensity min,max] to [0,number_bins-1].
*/
delta=(unsigned short) ((range_info->max-range_info->min)/number_bins+1);
for (i=(ssize_t) range_info->min; i <= (ssize_t) range_info->max; i++)
lut[i]=(unsigned short) ((i-range_info->min)/delta);
}
static void MapCLAHEHistogram(const RangeInfo *range_info,
const size_t number_bins,const size_t number_pixels,size_t *histogram)
{
double
scale,
sum;
register ssize_t
i;
/*
Rescale histogram to range [min-intensity .. max-intensity].
*/
scale=(double) (range_info->max-range_info->min)/number_pixels;
sum=0.0;
for (i=0; i < (ssize_t) number_bins; i++)
{
sum+=histogram[i];
histogram[i]=(size_t) (range_info->min+scale*sum);
if (histogram[i] > range_info->max)
histogram[i]=range_info->max;
}
}
static MagickBooleanType CLAHE(const RectangleInfo *clahe_info,
const RectangleInfo *tile_info,const RangeInfo *range_info,
const size_t number_bins,const double clip_limit,unsigned short *pixels)
{
MemoryInfo
*tile_cache;
register unsigned short
*p;
size_t
limit,
*tiles;
ssize_t
y;
unsigned short
*lut;
/*
Constrast limited adapted histogram equalization.
*/
if (clip_limit == 1.0)
return(MagickTrue);
tile_cache=AcquireVirtualMemory((size_t) clahe_info->x*clahe_info->y,
number_bins*sizeof(*tiles));
if (tile_cache == (MemoryInfo *) NULL)
return(MagickFalse);
lut=(unsigned short *) AcquireQuantumMemory(NumberCLAHEGrays,sizeof(*lut));
if (lut == (unsigned short *) NULL)
{
tile_cache=RelinquishVirtualMemory(tile_cache);
return(MagickFalse);
}
tiles=(size_t *) GetVirtualMemoryBlob(tile_cache);
limit=(size_t) (clip_limit*(tile_info->width*tile_info->height)/number_bins);
if (limit < 1UL)
limit=1UL;
/*
Generate greylevel mappings for each tile.
*/
GenerateCLAHELut(range_info,number_bins,lut);
p=pixels;
for (y=0; y < (ssize_t) clahe_info->y; y++)
{
register ssize_t
x;
for (x=0; x < (ssize_t) clahe_info->x; x++)
{
size_t
*histogram;
histogram=tiles+(number_bins*(y*clahe_info->x+x));
GenerateCLAHEHistogram(clahe_info,tile_info,number_bins,lut,p,histogram);
ClipCLAHEHistogram((double) limit,number_bins,histogram);
MapCLAHEHistogram(range_info,number_bins,tile_info->width*
tile_info->height,histogram);
p+=tile_info->width;
}
p+=clahe_info->width*(tile_info->height-1);
}
/*
Interpolate greylevel mappings to get CLAHE image.
*/
p=pixels;
for (y=0; y <= (ssize_t) clahe_info->y; y++)
{
OffsetInfo
offset;
RectangleInfo
tile;
register ssize_t
x;
tile.height=tile_info->height;
tile.y=y-1;
offset.y=tile.y+1;
if (y == 0)
{
/*
Top row.
*/
tile.height=tile_info->height >> 1;
tile.y=0;
offset.y=0;
}
else
if (y == (ssize_t) clahe_info->y)
{
/*
Bottom row.
*/
tile.height=(tile_info->height+1) >> 1;
tile.y=clahe_info->y-1;
offset.y=tile.y;
}
for (x=0; x <= (ssize_t) clahe_info->x; x++)
{
tile.width=tile_info->width;
tile.x=x-1;
offset.x=tile.x+1;
if (x == 0)
{
/*
Left column.
*/
tile.width=tile_info->width >> 1;
tile.x=0;
offset.x=0;
}
else
if (x == (ssize_t) clahe_info->x)
{
/*
Right column.
*/
tile.width=(tile_info->width+1) >> 1;
tile.x=clahe_info->x-1;
offset.x=tile.x;
}
InterpolateCLAHE(clahe_info,
tiles+(number_bins*(tile.y*clahe_info->x+tile.x)), /* Q12 */
tiles+(number_bins*(tile.y*clahe_info->x+offset.x)), /* Q22 */
tiles+(number_bins*(offset.y*clahe_info->x+tile.x)), /* Q11 */
tiles+(number_bins*(offset.y*clahe_info->x+offset.x)), /* Q21 */
&tile,lut,p);
p+=tile.width;
}
p+=clahe_info->width*(tile.height-1);
}
lut=(unsigned short *) RelinquishMagickMemory(lut);
tile_cache=RelinquishVirtualMemory(tile_cache);
return(MagickTrue);
}
MagickExport MagickBooleanType CLAHEImage(Image *image,const size_t width,
const size_t height,const size_t number_bins,const double clip_limit,
ExceptionInfo *exception)
{
#define CLAHEImageTag "CLAHE/Image"
CacheView
*image_view;
ColorspaceType
colorspace;
MagickBooleanType
status;
MagickOffsetType
progress;
MemoryInfo
*pixel_cache;
RangeInfo
range_info;
RectangleInfo
clahe_info,
tile_info;
size_t
n;
ssize_t
y;
unsigned short
*pixels;
/*
Configure CLAHE parameters.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
range_info.min=0;
range_info.max=NumberCLAHEGrays-1;
tile_info.width=width;
if (tile_info.width == 0)
tile_info.width=image->columns >> 3;
tile_info.height=height;
if (tile_info.height == 0)
tile_info.height=image->rows >> 3;
tile_info.x=0;
if ((image->columns % tile_info.width) != 0)
tile_info.x=(ssize_t) tile_info.width-(image->columns % tile_info.width);
tile_info.y=0;
if ((image->rows % tile_info.height) != 0)
tile_info.y=(ssize_t) tile_info.height-(image->rows % tile_info.height);
clahe_info.width=image->columns+tile_info.x;
clahe_info.height=image->rows+tile_info.y;
clahe_info.x=(ssize_t) clahe_info.width/tile_info.width;
clahe_info.y=(ssize_t) clahe_info.height/tile_info.height;
pixel_cache=AcquireVirtualMemory(clahe_info.width,clahe_info.height*
sizeof(*pixels));
if (pixel_cache == (MemoryInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
pixels=(unsigned short *) GetVirtualMemoryBlob(pixel_cache);
colorspace=image->colorspace;
if (TransformImageColorspace(image,LabColorspace,exception) == MagickFalse)
{
pixel_cache=RelinquishVirtualMemory(pixel_cache);
return(MagickFalse);
}
/*
Initialize CLAHE pixels.
*/
image_view=AcquireVirtualCacheView(image,exception);
progress=0;
status=MagickTrue;
n=0;
for (y=0; y < (ssize_t) clahe_info.height; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-(tile_info.x >> 1),y-
(tile_info.y >> 1),clahe_info.width,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) clahe_info.width; x++)
{
pixels[n++]=ScaleQuantumToShort(p[0]);
p+=GetPixelChannels(image);
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
progress++;
proceed=SetImageProgress(image,CLAHEImageTag,progress,2*
GetPixelChannels(image));
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
status=CLAHE(&clahe_info,&tile_info,&range_info,number_bins == 0 ?
(size_t) 128 : MagickMin(number_bins,256),clip_limit,pixels);
if (status == MagickFalse)
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
/*
Push CLAHE pixels to CLAHE image.
*/
image_view=AcquireAuthenticCacheView(image,exception);
n=clahe_info.width*(tile_info.y >> 1);
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
n+=tile_info.x >> 1;
for (x=0; x < (ssize_t) image->columns; x++)
{
q[0]=ScaleShortToQuantum(pixels[n++]);
q+=GetPixelChannels(image);
}
n+=(clahe_info.width-image->columns-(tile_info.x >> 1));
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
progress++;
proceed=SetImageProgress(image,CLAHEImageTag,progress,2*
GetPixelChannels(image));
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
pixel_cache=RelinquishVirtualMemory(pixel_cache);
if (TransformImageColorspace(image,colorspace,exception) == MagickFalse)
status=MagickFalse;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l u t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClutImage() replaces each color value in the given image, by using it as an
% index to lookup a replacement color value in a Color Look UP Table in the
% form of an image. The values are extracted along a diagonal of the CLUT
% image so either a horizontal or vertial gradient image can be used.
%
% Typically this is used to either re-color a gray-scale image according to a
% color gradient in the CLUT image, or to perform a freeform histogram
% (level) adjustment according to the (typically gray-scale) gradient in the
% CLUT image.
%
% When the 'channel' mask includes the matte/alpha transparency channel but
% one image has no such channel it is assumed that that image is a simple
% gray-scale image that will effect the alpha channel values, either for
% gray-scale coloring (with transparent or semi-transparent colors), or
% a histogram adjustment of existing alpha channel values. If both images
% have matte channels, direct and normal indexing is applied, which is rarely
% used.
%
% The format of the ClutImage method is:
%
% MagickBooleanType ClutImage(Image *image,Image *clut_image,
% const PixelInterpolateMethod method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image, which is replaced by indexed CLUT values
%
% o clut_image: the color lookup table image for replacement color values.
%
% o method: the pixel interpolation method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ClutImage(Image *image,const Image *clut_image,
const PixelInterpolateMethod method,ExceptionInfo *exception)
{
#define ClutImageTag "Clut/Image"
CacheView
*clut_view,
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
*clut_map;
register ssize_t
i;
ssize_t adjust,
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(clut_image != (Image *) NULL);
assert(clut_image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
(IsGrayColorspace(clut_image->colorspace) == MagickFalse))
(void) SetImageColorspace(image,sRGBColorspace,exception);
clut_map=(PixelInfo *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*clut_map));
if (clut_map == (PixelInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Clut image.
*/
status=MagickTrue;
progress=0;
adjust=(ssize_t) (clut_image->interpolate == IntegerInterpolatePixel ? 0 : 1);
clut_view=AcquireVirtualCacheView(clut_image,exception);
for (i=0; i <= (ssize_t) MaxMap; i++)
{
GetPixelInfo(clut_image,clut_map+i);
status=InterpolatePixelInfo(clut_image,clut_view,method,
(double) i*(clut_image->columns-adjust)/MaxMap,(double) i*
(clut_image->rows-adjust)/MaxMap,clut_map+i,exception);
if (status == MagickFalse)
break;
}
clut_view=DestroyCacheView(clut_view);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelInfo
pixel;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
GetPixelInfo(image,&pixel);
for (x=0; x < (ssize_t) image->columns; x++)
{
PixelTrait
traits;
GetPixelInfoPixel(image,q,&pixel);
traits=GetPixelChannelTraits(image,RedPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.red=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.red))].red;
traits=GetPixelChannelTraits(image,GreenPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.green=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.green))].green;
traits=GetPixelChannelTraits(image,BluePixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.blue=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.blue))].blue;
traits=GetPixelChannelTraits(image,BlackPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.black=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.black))].black;
traits=GetPixelChannelTraits(image,AlphaPixelChannel);
if ((traits & UpdatePixelTrait) != 0)
pixel.alpha=clut_map[ScaleQuantumToMap(ClampToQuantum(
pixel.alpha))].alpha;
SetPixelViaPixelInfo(image,&pixel,q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ClutImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
clut_map=(PixelInfo *) RelinquishMagickMemory(clut_map);
if ((clut_image->alpha_trait != UndefinedPixelTrait) &&
((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0))
(void) SetImageAlphaChannel(image,ActivateAlphaChannel,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r D e c i s i o n L i s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorDecisionListImage() accepts a lightweight Color Correction Collection
% (CCC) file which solely contains one or more color corrections and applies
% the correction to the image. Here is a sample CCC file:
%
% <ColorCorrectionCollection xmlns="urn:ASC:CDL:v1.2">
% <ColorCorrection id="cc03345">
% <SOPNode>
% <Slope> 0.9 1.2 0.5 </Slope>
% <Offset> 0.4 -0.5 0.6 </Offset>
% <Power> 1.0 0.8 1.5 </Power>
% </SOPNode>
% <SATNode>
% <Saturation> 0.85 </Saturation>
% </SATNode>
% </ColorCorrection>
% </ColorCorrectionCollection>
%
% which includes the slop, offset, and power for each of the RGB channels
% as well as the saturation.
%
% The format of the ColorDecisionListImage method is:
%
% MagickBooleanType ColorDecisionListImage(Image *image,
% const char *color_correction_collection,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o color_correction_collection: the color correction collection in XML.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ColorDecisionListImage(Image *image,
const char *color_correction_collection,ExceptionInfo *exception)
{
#define ColorDecisionListCorrectImageTag "ColorDecisionList/Image"
typedef struct _Correction
{
double
slope,
offset,
power;
} Correction;
typedef struct _ColorCorrection
{
Correction
red,
green,
blue;
double
saturation;
} ColorCorrection;
CacheView
*image_view;
char
token[MagickPathExtent];
ColorCorrection
color_correction;
const char
*content,
*p;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
*cdl_map;
register ssize_t
i;
ssize_t
y;
XMLTreeInfo
*cc,
*ccc,
*sat,
*sop;
/*
Allocate and initialize cdl maps.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (color_correction_collection == (const char *) NULL)
return(MagickFalse);
ccc=NewXMLTree((const char *) color_correction_collection,exception);
if (ccc == (XMLTreeInfo *) NULL)
return(MagickFalse);
cc=GetXMLTreeChild(ccc,"ColorCorrection");
if (cc == (XMLTreeInfo *) NULL)
{
ccc=DestroyXMLTree(ccc);
return(MagickFalse);
}
color_correction.red.slope=1.0;
color_correction.red.offset=0.0;
color_correction.red.power=1.0;
color_correction.green.slope=1.0;
color_correction.green.offset=0.0;
color_correction.green.power=1.0;
color_correction.blue.slope=1.0;
color_correction.blue.offset=0.0;
color_correction.blue.power=1.0;
color_correction.saturation=0.0;
sop=GetXMLTreeChild(cc,"SOPNode");
if (sop != (XMLTreeInfo *) NULL)
{
XMLTreeInfo
*offset,
*power,
*slope;
slope=GetXMLTreeChild(sop,"Slope");
if (slope != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(slope);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
(void) GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
(void) GetNextToken(p,&p,MagickPathExtent,token);
switch (i)
{
case 0:
{
color_correction.red.slope=StringToDouble(token,(char **) NULL);
break;
}
case 1:
{
color_correction.green.slope=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.slope=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
offset=GetXMLTreeChild(sop,"Offset");
if (offset != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(offset);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
(void) GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
(void) GetNextToken(p,&p,MagickPathExtent,token);
switch (i)
{
case 0:
{
color_correction.red.offset=StringToDouble(token,
(char **) NULL);
break;
}
case 1:
{
color_correction.green.offset=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.offset=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
power=GetXMLTreeChild(sop,"Power");
if (power != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(power);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
(void) GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
(void) GetNextToken(p,&p,MagickPathExtent,token);
switch (i)
{
case 0:
{
color_correction.red.power=StringToDouble(token,(char **) NULL);
break;
}
case 1:
{
color_correction.green.power=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.power=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
}
sat=GetXMLTreeChild(cc,"SATNode");
if (sat != (XMLTreeInfo *) NULL)
{
XMLTreeInfo
*saturation;
saturation=GetXMLTreeChild(sat,"Saturation");
if (saturation != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(saturation);
p=(const char *) content;
(void) GetNextToken(p,&p,MagickPathExtent,token);
color_correction.saturation=StringToDouble(token,(char **) NULL);
}
}
ccc=DestroyXMLTree(ccc);
if (image->debug != MagickFalse)
{
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" Color Correction Collection:");
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.slope: %g",color_correction.red.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.offset: %g",color_correction.red.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.power: %g",color_correction.red.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.slope: %g",color_correction.green.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.offset: %g",color_correction.green.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.power: %g",color_correction.green.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.slope: %g",color_correction.blue.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.offset: %g",color_correction.blue.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.power: %g",color_correction.blue.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.saturation: %g",color_correction.saturation);
}
cdl_map=(PixelInfo *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*cdl_map));
if (cdl_map == (PixelInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
for (i=0; i <= (ssize_t) MaxMap; i++)
{
cdl_map[i].red=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.red.slope*i/MaxMap+
color_correction.red.offset,color_correction.red.power))));
cdl_map[i].green=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.green.slope*i/MaxMap+
color_correction.green.offset,color_correction.green.power))));
cdl_map[i].blue=(double) ScaleMapToQuantum((double)
(MaxMap*(pow(color_correction.blue.slope*i/MaxMap+
color_correction.blue.offset,color_correction.blue.power))));
}
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Apply transfer function to colormap.
*/
double
luma;
luma=0.21267f*image->colormap[i].red+0.71526*image->colormap[i].green+
0.07217f*image->colormap[i].blue;
image->colormap[i].red=luma+color_correction.saturation*cdl_map[
ScaleQuantumToMap(ClampToQuantum(image->colormap[i].red))].red-luma;
image->colormap[i].green=luma+color_correction.saturation*cdl_map[
ScaleQuantumToMap(ClampToQuantum(image->colormap[i].green))].green-luma;
image->colormap[i].blue=luma+color_correction.saturation*cdl_map[
ScaleQuantumToMap(ClampToQuantum(image->colormap[i].blue))].blue-luma;
}
/*
Apply transfer function to image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
luma;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
luma=0.21267f*GetPixelRed(image,q)+0.71526*GetPixelGreen(image,q)+
0.07217f*GetPixelBlue(image,q);
SetPixelRed(image,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelRed(image,q))].red-luma)),q);
SetPixelGreen(image,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelGreen(image,q))].green-luma)),q);
SetPixelBlue(image,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelBlue(image,q))].blue-luma)),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ColorDecisionListCorrectImageTag,
progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
cdl_map=(PixelInfo *) RelinquishMagickMemory(cdl_map);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ContrastImage() enhances the intensity differences between the lighter and
% darker elements of the image. Set sharpen to a MagickTrue to increase the
% image contrast otherwise the contrast is reduced.
%
% The format of the ContrastImage method is:
%
% MagickBooleanType ContrastImage(Image *image,
% const MagickBooleanType sharpen,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o sharpen: Increase or decrease image contrast.
%
% o exception: return any errors or warnings in this structure.
%
*/
static void Contrast(const int sign,double *red,double *green,double *blue)
{
double
brightness,
hue,
saturation;
/*
Enhance contrast: dark color become darker, light color become lighter.
*/
assert(red != (double *) NULL);
assert(green != (double *) NULL);
assert(blue != (double *) NULL);
hue=0.0;
saturation=0.0;
brightness=0.0;
ConvertRGBToHSB(*red,*green,*blue,&hue,&saturation,&brightness);
brightness+=0.5*sign*(0.5*(sin((double) (MagickPI*(brightness-0.5)))+1.0)-
brightness);
if (brightness > 1.0)
brightness=1.0;
else
if (brightness < 0.0)
brightness=0.0;
ConvertHSBToRGB(hue,saturation,brightness,red,green,blue);
}
MagickExport MagickBooleanType ContrastImage(Image *image,
const MagickBooleanType sharpen,ExceptionInfo *exception)
{
#define ContrastImageTag "Contrast/Image"
CacheView
*image_view;
int
sign;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateContrastImage(image,sharpen,exception) != MagickFalse)
return(MagickTrue);
#endif
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
sign=sharpen != MagickFalse ? 1 : -1;
if (image->storage_class == PseudoClass)
{
/*
Contrast enhance colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
double
blue,
green,
red;
red=(double) image->colormap[i].red;
green=(double) image->colormap[i].green;
blue=(double) image->colormap[i].blue;
Contrast(sign,&red,&green,&blue);
image->colormap[i].red=(MagickRealType) red;
image->colormap[i].green=(MagickRealType) green;
image->colormap[i].blue=(MagickRealType) blue;
}
}
/*
Contrast enhance image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
blue,
green,
red;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
red=(double) GetPixelRed(image,q);
green=(double) GetPixelGreen(image,q);
blue=(double) GetPixelBlue(image,q);
Contrast(sign,&red,&green,&blue);
SetPixelRed(image,ClampToQuantum(red),q);
SetPixelGreen(image,ClampToQuantum(green),q);
SetPixelBlue(image,ClampToQuantum(blue),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ContrastImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n t r a s t S t r e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ContrastStretchImage() is a simple image enhancement technique that attempts
% to improve the contrast in an image by 'stretching' the range of intensity
% values it contains to span a desired range of values. It differs from the
% more sophisticated histogram equalization in that it can only apply a
% linear scaling function to the image pixel values. As a result the
% 'enhancement' is less harsh.
%
% The format of the ContrastStretchImage method is:
%
% MagickBooleanType ContrastStretchImage(Image *image,
% const char *levels,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: the black point.
%
% o white_point: the white point.
%
% o levels: Specify the levels where the black and white points have the
% range of 0 to number-of-pixels (e.g. 1%, 10x90%, etc.).
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType ContrastStretchImage(Image *image,
const double black_point,const double white_point,ExceptionInfo *exception)
{
#define MaxRange(color) ((double) ScaleQuantumToMap((Quantum) (color)))
#define ContrastStretchImageTag "ContrastStretch/Image"
CacheView
*image_view;
double
*black,
*histogram,
*stretch_map,
*white;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate histogram and stretch map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (SetImageGray(image,exception) != MagickFalse)
(void) SetImageColorspace(image,GRAYColorspace,exception);
black=(double *) AcquireQuantumMemory(MaxPixelChannels,sizeof(*black));
white=(double *) AcquireQuantumMemory(MaxPixelChannels,sizeof(*white));
histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*histogram));
stretch_map=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*stretch_map));
if ((black == (double *) NULL) || (white == (double *) NULL) ||
(histogram == (double *) NULL) || (stretch_map == (double *) NULL))
{
if (stretch_map != (double *) NULL)
stretch_map=(double *) RelinquishMagickMemory(stretch_map);
if (histogram != (double *) NULL)
histogram=(double *) RelinquishMagickMemory(histogram);
if (white != (double *) NULL)
white=(double *) RelinquishMagickMemory(white);
if (black != (double *) NULL)
black=(double *) RelinquishMagickMemory(black);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Form histogram.
*/
status=MagickTrue;
(void) memset(histogram,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*histogram));
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
pixel;
pixel=GetPixelIntensity(image,p);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
if (image->channel_mask != DefaultChannels)
pixel=(double) p[i];
histogram[GetPixelChannels(image)*ScaleQuantumToMap(
ClampToQuantum(pixel))+i]++;
}
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Find the histogram boundaries by locating the black/white levels.
*/
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
intensity;
register ssize_t
j;
black[i]=0.0;
white[i]=MaxRange(QuantumRange);
intensity=0.0;
for (j=0; j <= (ssize_t) MaxMap; j++)
{
intensity+=histogram[GetPixelChannels(image)*j+i];
if (intensity > black_point)
break;
}
black[i]=(double) j;
intensity=0.0;
for (j=(ssize_t) MaxMap; j != 0; j--)
{
intensity+=histogram[GetPixelChannels(image)*j+i];
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
white[i]=(double) j;
}
histogram=(double *) RelinquishMagickMemory(histogram);
/*
Stretch the histogram to create the stretched image mapping.
*/
(void) memset(stretch_map,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*stretch_map));
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
register ssize_t
j;
for (j=0; j <= (ssize_t) MaxMap; j++)
{
double
gamma;
gamma=PerceptibleReciprocal(white[i]-black[i]);
if (j < (ssize_t) black[i])
stretch_map[GetPixelChannels(image)*j+i]=0.0;
else
if (j > (ssize_t) white[i])
stretch_map[GetPixelChannels(image)*j+i]=(double) QuantumRange;
else
if (black[i] != white[i])
stretch_map[GetPixelChannels(image)*j+i]=(double) ScaleMapToQuantum(
(double) (MaxMap*gamma*(j-black[i])));
}
}
if (image->storage_class == PseudoClass)
{
register ssize_t
j;
/*
Stretch-contrast colormap.
*/
for (j=0; j < (ssize_t) image->colors; j++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,RedPixelChannel);
image->colormap[j].red=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].red))+i];
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,GreenPixelChannel);
image->colormap[j].green=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].green))+i];
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,BluePixelChannel);
image->colormap[j].blue=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].blue))+i];
}
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
{
i=GetPixelChannelOffset(image,AlphaPixelChannel);
image->colormap[j].alpha=stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].alpha))+i];
}
}
}
/*
Stretch-contrast image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if (black[j] == white[j])
continue;
q[j]=ClampToQuantum(stretch_map[GetPixelChannels(image)*
ScaleQuantumToMap(q[j])+j]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ContrastStretchImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
stretch_map=(double *) RelinquishMagickMemory(stretch_map);
white=(double *) RelinquishMagickMemory(white);
black=(double *) RelinquishMagickMemory(black);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E n h a n c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EnhanceImage() applies a digital filter that improves the quality of a
% noisy image.
%
% The format of the EnhanceImage method is:
%
% Image *EnhanceImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *EnhanceImage(const Image *image,ExceptionInfo *exception)
{
#define EnhanceImageTag "Enhance/Image"
#define EnhancePixel(weight) \
mean=QuantumScale*((double) GetPixelRed(image,r)+pixel.red)/2.0; \
distance=QuantumScale*((double) GetPixelRed(image,r)-pixel.red); \
distance_squared=(4.0+mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelGreen(image,r)+pixel.green)/2.0; \
distance=QuantumScale*((double) GetPixelGreen(image,r)-pixel.green); \
distance_squared+=(7.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelBlue(image,r)+pixel.blue)/2.0; \
distance=QuantumScale*((double) GetPixelBlue(image,r)-pixel.blue); \
distance_squared+=(5.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelBlack(image,r)+pixel.black)/2.0; \
distance=QuantumScale*((double) GetPixelBlack(image,r)-pixel.black); \
distance_squared+=(5.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelAlpha(image,r)+pixel.alpha)/2.0; \
distance=QuantumScale*((double) GetPixelAlpha(image,r)-pixel.alpha); \
distance_squared+=(5.0-mean)*distance*distance; \
if (distance_squared < 0.069) \
{ \
aggregate.red+=(weight)*GetPixelRed(image,r); \
aggregate.green+=(weight)*GetPixelGreen(image,r); \
aggregate.blue+=(weight)*GetPixelBlue(image,r); \
aggregate.black+=(weight)*GetPixelBlack(image,r); \
aggregate.alpha+=(weight)*GetPixelAlpha(image,r); \
total_weight+=(weight); \
} \
r+=GetPixelChannels(image);
CacheView
*enhance_view,
*image_view;
Image
*enhance_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Initialize enhanced image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
enhance_image=CloneImage(image,0,0,MagickTrue,
exception);
if (enhance_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(enhance_image,DirectClass,exception) == MagickFalse)
{
enhance_image=DestroyImage(enhance_image);
return((Image *) NULL);
}
/*
Enhance image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
enhance_view=AcquireAuthenticCacheView(enhance_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,enhance_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelInfo
pixel;
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
ssize_t
center;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-2,y-2,image->columns+4,5,exception);
q=QueueCacheViewAuthenticPixels(enhance_view,0,y,enhance_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
center=(ssize_t) GetPixelChannels(image)*(2*(image->columns+4)+2);
GetPixelInfo(image,&pixel);
for (x=0; x < (ssize_t) image->columns; x++)
{
double
distance,
distance_squared,
mean,
total_weight;
PixelInfo
aggregate;
register const Quantum
*magick_restrict r;
GetPixelInfo(image,&aggregate);
total_weight=0.0;
GetPixelInfoPixel(image,p+center,&pixel);
r=p;
EnhancePixel(5.0); EnhancePixel(8.0); EnhancePixel(10.0);
EnhancePixel(8.0); EnhancePixel(5.0);
r=p+GetPixelChannels(image)*(image->columns+4);
EnhancePixel(8.0); EnhancePixel(20.0); EnhancePixel(40.0);
EnhancePixel(20.0); EnhancePixel(8.0);
r=p+2*GetPixelChannels(image)*(image->columns+4);
EnhancePixel(10.0); EnhancePixel(40.0); EnhancePixel(80.0);
EnhancePixel(40.0); EnhancePixel(10.0);
r=p+3*GetPixelChannels(image)*(image->columns+4);
EnhancePixel(8.0); EnhancePixel(20.0); EnhancePixel(40.0);
EnhancePixel(20.0); EnhancePixel(8.0);
r=p+4*GetPixelChannels(image)*(image->columns+4);
EnhancePixel(5.0); EnhancePixel(8.0); EnhancePixel(10.0);
EnhancePixel(8.0); EnhancePixel(5.0);
if (total_weight > MagickEpsilon)
{
pixel.red=((aggregate.red+total_weight/2.0)/total_weight);
pixel.green=((aggregate.green+total_weight/2.0)/total_weight);
pixel.blue=((aggregate.blue+total_weight/2.0)/total_weight);
pixel.black=((aggregate.black+total_weight/2.0)/total_weight);
pixel.alpha=((aggregate.alpha+total_weight/2.0)/total_weight);
}
SetPixelViaPixelInfo(enhance_image,&pixel,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(enhance_image);
}
if (SyncCacheViewAuthenticPixels(enhance_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,EnhanceImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
enhance_view=DestroyCacheView(enhance_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
enhance_image=DestroyImage(enhance_image);
return(enhance_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E q u a l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EqualizeImage() applies a histogram equalization to the image.
%
% The format of the EqualizeImage method is:
%
% MagickBooleanType EqualizeImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType EqualizeImage(Image *image,
ExceptionInfo *exception)
{
#define EqualizeImageTag "Equalize/Image"
CacheView
*image_view;
double
black[CompositePixelChannel+1],
*equalize_map,
*histogram,
*map,
white[CompositePixelChannel+1];
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize histogram arrays.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateEqualizeImage(image,exception) != MagickFalse)
return(MagickTrue);
#endif
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
equalize_map=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*equalize_map));
histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*
sizeof(*histogram));
map=(double *) AcquireQuantumMemory(MaxMap+1UL,MaxPixelChannels*sizeof(*map));
if ((equalize_map == (double *) NULL) || (histogram == (double *) NULL) ||
(map == (double *) NULL))
{
if (map != (double *) NULL)
map=(double *) RelinquishMagickMemory(map);
if (histogram != (double *) NULL)
histogram=(double *) RelinquishMagickMemory(histogram);
if (equalize_map != (double *) NULL)
equalize_map=(double *) RelinquishMagickMemory(equalize_map);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Form histogram.
*/
status=MagickTrue;
(void) memset(histogram,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*histogram));
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
intensity;
intensity=(double) p[i];
if ((image->channel_mask & SyncChannels) != 0)
intensity=GetPixelIntensity(image,p);
histogram[GetPixelChannels(image)*ScaleQuantumToMap(
ClampToQuantum(intensity))+i]++;
}
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Integrate the histogram to get the equalization map.
*/
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
intensity;
register ssize_t
j;
intensity=0.0;
for (j=0; j <= (ssize_t) MaxMap; j++)
{
intensity+=histogram[GetPixelChannels(image)*j+i];
map[GetPixelChannels(image)*j+i]=intensity;
}
}
(void) memset(equalize_map,0,(MaxMap+1)*GetPixelChannels(image)*
sizeof(*equalize_map));
(void) memset(black,0,sizeof(*black));
(void) memset(white,0,sizeof(*white));
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
register ssize_t
j;
black[i]=map[i];
white[i]=map[GetPixelChannels(image)*MaxMap+i];
if (black[i] != white[i])
for (j=0; j <= (ssize_t) MaxMap; j++)
equalize_map[GetPixelChannels(image)*j+i]=(double)
ScaleMapToQuantum((double) ((MaxMap*(map[
GetPixelChannels(image)*j+i]-black[i]))/(white[i]-black[i])));
}
histogram=(double *) RelinquishMagickMemory(histogram);
map=(double *) RelinquishMagickMemory(map);
if (image->storage_class == PseudoClass)
{
register ssize_t
j;
/*
Equalize colormap.
*/
for (j=0; j < (ssize_t) image->colors; j++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,
RedPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].red=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].red))+
channel];
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,
GreenPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].green=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].green))+
channel];
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,
BluePixelChannel);
if (black[channel] != white[channel])
image->colormap[j].blue=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].blue))+
channel];
}
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
{
PixelChannel channel = GetPixelChannelChannel(image,
AlphaPixelChannel);
if (black[channel] != white[channel])
image->colormap[j].alpha=equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(ClampToQuantum(image->colormap[j].alpha))+
channel];
}
}
}
/*
Equalize image.
*/
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if (((traits & UpdatePixelTrait) == 0) || (black[j] == white[j]))
continue;
q[j]=ClampToQuantum(equalize_map[GetPixelChannels(image)*
ScaleQuantumToMap(q[j])+j]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,EqualizeImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
equalize_map=(double *) RelinquishMagickMemory(equalize_map);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G a m m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GammaImage() gamma-corrects a particular image channel. The same
% image viewed on different devices will have perceptual differences in the
% way the image's intensities are represented on the screen. Specify
% individual gamma levels for the red, green, and blue channels, or adjust
% all three with the gamma parameter. Values typically range from 0.8 to 2.3.
%
% You can also reduce the influence of a particular channel with a gamma
% value of 0.
%
% The format of the GammaImage method is:
%
% MagickBooleanType GammaImage(Image *image,const double gamma,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o level: the image gamma as a string (e.g. 1.6,1.2,1.0).
%
% o gamma: the image gamma.
%
*/
static inline double gamma_pow(const double value,const double gamma)
{
return(value < 0.0 ? value : pow(value,gamma));
}
MagickExport MagickBooleanType GammaImage(Image *image,const double gamma,
ExceptionInfo *exception)
{
#define GammaImageTag "Gamma/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
Quantum
*gamma_map;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize gamma maps.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (gamma == 1.0)
return(MagickTrue);
gamma_map=(Quantum *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*gamma_map));
if (gamma_map == (Quantum *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
(void) memset(gamma_map,0,(MaxMap+1)*sizeof(*gamma_map));
if (gamma != 0.0)
for (i=0; i <= (ssize_t) MaxMap; i++)
gamma_map[i]=ScaleMapToQuantum((double) (MaxMap*pow((double) i/
MaxMap,PerceptibleReciprocal(gamma))));
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Gamma-correct colormap.
*/
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].red))];
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].green))];
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].blue))];
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) gamma_map[ScaleQuantumToMap(
ClampToQuantum(image->colormap[i].alpha))];
}
/*
Gamma-correct image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=gamma_map[ScaleQuantumToMap(ClampToQuantum((MagickRealType)
q[j]))];
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,GammaImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
gamma_map=(Quantum *) RelinquishMagickMemory(gamma_map);
if (image->gamma != 0.0)
image->gamma*=gamma;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G r a y s c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GrayscaleImage() converts the image to grayscale.
%
% The format of the GrayscaleImage method is:
%
% MagickBooleanType GrayscaleImage(Image *image,
% const PixelIntensityMethod method ,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o method: the pixel intensity method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GrayscaleImage(Image *image,
const PixelIntensityMethod method,ExceptionInfo *exception)
{
#define GrayscaleImageTag "Grayscale/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
{
if (SyncImage(image,exception) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateGrayscaleImage(image,method,exception) != MagickFalse)
{
image->intensity=method;
image->type=GrayscaleType;
if ((method == Rec601LuminancePixelIntensityMethod) ||
(method == Rec709LuminancePixelIntensityMethod))
return(SetImageColorspace(image,LinearGRAYColorspace,exception));
return(SetImageColorspace(image,GRAYColorspace,exception));
}
#endif
/*
Grayscale image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
blue,
green,
red,
intensity;
red=(MagickRealType) GetPixelRed(image,q);
green=(MagickRealType) GetPixelGreen(image,q);
blue=(MagickRealType) GetPixelBlue(image,q);
intensity=0.0;
switch (method)
{
case AveragePixelIntensityMethod:
{
intensity=(red+green+blue)/3.0;
break;
}
case BrightnessPixelIntensityMethod:
{
intensity=MagickMax(MagickMax(red,green),blue);
break;
}
case LightnessPixelIntensityMethod:
{
intensity=(MagickMin(MagickMin(red,green),blue)+
MagickMax(MagickMax(red,green),blue))/2.0;
break;
}
case MSPixelIntensityMethod:
{
intensity=(MagickRealType) (((double) red*red+green*green+
blue*blue)/3.0);
break;
}
case Rec601LumaPixelIntensityMethod:
{
if (image->colorspace == RGBColorspace)
{
red=EncodePixelGamma(red);
green=EncodePixelGamma(green);
blue=EncodePixelGamma(blue);
}
intensity=0.298839*red+0.586811*green+0.114350*blue;
break;
}
case Rec601LuminancePixelIntensityMethod:
{
if (image->colorspace == sRGBColorspace)
{
red=DecodePixelGamma(red);
green=DecodePixelGamma(green);
blue=DecodePixelGamma(blue);
}
intensity=0.298839*red+0.586811*green+0.114350*blue;
break;
}
case Rec709LumaPixelIntensityMethod:
default:
{
if (image->colorspace == RGBColorspace)
{
red=EncodePixelGamma(red);
green=EncodePixelGamma(green);
blue=EncodePixelGamma(blue);
}
intensity=0.212656*red+0.715158*green+0.072186*blue;
break;
}
case Rec709LuminancePixelIntensityMethod:
{
if (image->colorspace == sRGBColorspace)
{
red=DecodePixelGamma(red);
green=DecodePixelGamma(green);
blue=DecodePixelGamma(blue);
}
intensity=0.212656*red+0.715158*green+0.072186*blue;
break;
}
case RMSPixelIntensityMethod:
{
intensity=(MagickRealType) (sqrt((double) red*red+green*green+
blue*blue)/sqrt(3.0));
break;
}
}
SetPixelGray(image,ClampToQuantum(intensity),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,GrayscaleImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
image->intensity=method;
image->type=GrayscaleType;
if ((method == Rec601LuminancePixelIntensityMethod) ||
(method == Rec709LuminancePixelIntensityMethod))
return(SetImageColorspace(image,LinearGRAYColorspace,exception));
return(SetImageColorspace(image,GRAYColorspace,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% H a l d C l u t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% HaldClutImage() applies a Hald color lookup table to the image. A Hald
% color lookup table is a 3-dimensional color cube mapped to 2 dimensions.
% Create it with the HALD coder. You can apply any color transformation to
% the Hald image and then use this method to apply the transform to the
% image.
%
% The format of the HaldClutImage method is:
%
% MagickBooleanType HaldClutImage(Image *image,Image *hald_image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image, which is replaced by indexed CLUT values
%
% o hald_image: the color lookup table image for replacement color values.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType HaldClutImage(Image *image,
const Image *hald_image,ExceptionInfo *exception)
{
#define HaldClutImageTag "Clut/Image"
typedef struct _HaldInfo
{
double
x,
y,
z;
} HaldInfo;
CacheView
*hald_view,
*image_view;
double
width;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelInfo
zero;
size_t
cube_size,
length,
level;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(hald_image != (Image *) NULL);
assert(hald_image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel,exception);
/*
Hald clut image.
*/
status=MagickTrue;
progress=0;
length=(size_t) MagickMin((MagickRealType) hald_image->columns,
(MagickRealType) hald_image->rows);
for (level=2; (level*level*level) < length; level++) ;
level*=level;
cube_size=level*level;
width=(double) hald_image->columns;
GetPixelInfo(hald_image,&zero);
hald_view=AcquireVirtualCacheView(hald_image,exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
area,
offset;
HaldInfo
point;
PixelInfo
pixel,
pixel1,
pixel2,
pixel3,
pixel4;
point.x=QuantumScale*(level-1.0)*GetPixelRed(image,q);
point.y=QuantumScale*(level-1.0)*GetPixelGreen(image,q);
point.z=QuantumScale*(level-1.0)*GetPixelBlue(image,q);
offset=point.x+level*floor(point.y)+cube_size*floor(point.z);
point.x-=floor(point.x);
point.y-=floor(point.y);
point.z-=floor(point.z);
pixel1=zero;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset,width),floor(offset/width),&pixel1,exception);
if (status == MagickFalse)
break;
pixel2=zero;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset+level,width),floor((offset+level)/width),&pixel2,exception);
if (status == MagickFalse)
break;
pixel3=zero;
area=point.y;
if (hald_image->interpolate == NearestInterpolatePixel)
area=(point.y < 0.5) ? 0.0 : 1.0;
CompositePixelInfoAreaBlend(&pixel1,pixel1.alpha,&pixel2,pixel2.alpha,
area,&pixel3);
offset+=cube_size;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset,width),floor(offset/width),&pixel1,exception);
if (status == MagickFalse)
break;
status=InterpolatePixelInfo(hald_image,hald_view,hald_image->interpolate,
fmod(offset+level,width),floor((offset+level)/width),&pixel2,exception);
if (status == MagickFalse)
break;
pixel4=zero;
CompositePixelInfoAreaBlend(&pixel1,pixel1.alpha,&pixel2,pixel2.alpha,
area,&pixel4);
pixel=zero;
area=point.z;
if (hald_image->interpolate == NearestInterpolatePixel)
area=(point.z < 0.5)? 0.0 : 1.0;
CompositePixelInfoAreaBlend(&pixel3,pixel3.alpha,&pixel4,pixel4.alpha,
area,&pixel);
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
SetPixelRed(image,ClampToQuantum(pixel.red),q);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
SetPixelGreen(image,ClampToQuantum(pixel.green),q);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
SetPixelBlue(image,ClampToQuantum(pixel.blue),q);
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelBlack(image,ClampToQuantum(pixel.black),q);
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
(image->alpha_trait != UndefinedPixelTrait))
SetPixelAlpha(image,ClampToQuantum(pixel.alpha),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,HaldClutImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
hald_view=DestroyCacheView(hald_view);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImage() adjusts the levels of a particular image channel by
% scaling the colors falling between specified white and black points to
% the full available quantum range.
%
% The parameters provided represent the black, and white points. The black
% point specifies the darkest color in the image. Colors darker than the
% black point are set to zero. White point specifies the lightest color in
% the image. Colors brighter than the white point are set to the maximum
% quantum value.
%
% If a '!' flag is given, map black and white colors to the given levels
% rather than mapping those levels to black and white. See
% LevelizeImage() below.
%
% Gamma specifies a gamma correction to apply to the image.
%
% The format of the LevelImage method is:
%
% MagickBooleanType LevelImage(Image *image,const double black_point,
% const double white_point,const double gamma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: The level to map zero (black) to.
%
% o white_point: The level to map QuantumRange (white) to.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline double LevelPixel(const double black_point,
const double white_point,const double gamma,const double pixel)
{
double
level_pixel,
scale;
scale=PerceptibleReciprocal(white_point-black_point);
level_pixel=QuantumRange*gamma_pow(scale*((double) pixel-black_point),
PerceptibleReciprocal(gamma));
return(level_pixel);
}
MagickExport MagickBooleanType LevelImage(Image *image,const double black_point,
const double white_point,const double gamma,ExceptionInfo *exception)
{
#define LevelImageTag "Level/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Level colormap.
*/
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].red));
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].green));
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].blue));
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,image->colormap[i].alpha));
}
/*
Level image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=ClampToQuantum(LevelPixel(black_point,white_point,gamma,
(double) q[j]));
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,LevelImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
(void) ClampImage(image,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelizeImage() applies the reversed LevelImage() operation to just
% the specific channels specified. It compresses the full range of color
% values, so that they lie between the given black and white points. Gamma is
% applied before the values are mapped.
%
% LevelizeImage() can be called with by using a +level command line
% API option, or using a '!' on a -level or LevelImage() geometry string.
%
% It can be used to de-contrast a greyscale image to the exact levels
% specified. Or by using specific levels for each channel of an image you
% can convert a gray-scale image to any linear color gradient, according to
% those levels.
%
% The format of the LevelizeImage method is:
%
% MagickBooleanType LevelizeImage(Image *image,const double black_point,
% const double white_point,const double gamma,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: The level to map zero (black) to.
%
% o white_point: The level to map QuantumRange (white) to.
%
% o gamma: adjust gamma by this factor before mapping values.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType LevelizeImage(Image *image,
const double black_point,const double white_point,const double gamma,
ExceptionInfo *exception)
{
#define LevelizeImageTag "Levelize/Image"
#define LevelizeValue(x) ClampToQuantum(((MagickRealType) gamma_pow((double) \
(QuantumScale*(x)),gamma))*(white_point-black_point)+black_point)
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Level colormap.
*/
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double) LevelizeValue(image->colormap[i].red);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double) LevelizeValue(
image->colormap[i].green);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double) LevelizeValue(image->colormap[i].blue);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double) LevelizeValue(
image->colormap[i].alpha);
}
/*
Level image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=LevelizeValue(q[j]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,LevelizeImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImageColors() maps the given color to "black" and "white" values,
% linearly spreading out the colors, and level values on a channel by channel
% bases, as per LevelImage(). The given colors allows you to specify
% different level ranges for each of the color channels separately.
%
% If the boolean 'invert' is set true the image values will modifyed in the
% reverse direction. That is any existing "black" and "white" colors in the
% image will become the color values given, with all other values compressed
% appropriately. This effectivally maps a greyscale gradient into the given
% color gradient.
%
% The format of the LevelImageColors method is:
%
% MagickBooleanType LevelImageColors(Image *image,
% const PixelInfo *black_color,const PixelInfo *white_color,
% const MagickBooleanType invert,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_color: The color to map black to/from
%
% o white_point: The color to map white to/from
%
% o invert: if true map the colors (levelize), rather than from (level)
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType LevelImageColors(Image *image,
const PixelInfo *black_color,const PixelInfo *white_color,
const MagickBooleanType invert,ExceptionInfo *exception)
{
ChannelType
channel_mask;
MagickStatusType
status;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
((IsGrayColorspace(black_color->colorspace) == MagickFalse) ||
(IsGrayColorspace(white_color->colorspace) == MagickFalse)))
(void) SetImageColorspace(image,sRGBColorspace,exception);
status=MagickTrue;
if (invert == MagickFalse)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,RedChannel);
status&=LevelImage(image,black_color->red,white_color->red,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,GreenChannel);
status&=LevelImage(image,black_color->green,white_color->green,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,BlueChannel);
status&=LevelImage(image,black_color->blue,white_color->blue,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
{
channel_mask=SetImageChannelMask(image,BlackChannel);
status&=LevelImage(image,black_color->black,white_color->black,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
(image->alpha_trait != UndefinedPixelTrait))
{
channel_mask=SetImageChannelMask(image,AlphaChannel);
status&=LevelImage(image,black_color->alpha,white_color->alpha,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
}
else
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,RedChannel);
status&=LevelizeImage(image,black_color->red,white_color->red,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,GreenChannel);
status&=LevelizeImage(image,black_color->green,white_color->green,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
{
channel_mask=SetImageChannelMask(image,BlueChannel);
status&=LevelizeImage(image,black_color->blue,white_color->blue,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
{
channel_mask=SetImageChannelMask(image,BlackChannel);
status&=LevelizeImage(image,black_color->black,white_color->black,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
(image->alpha_trait != UndefinedPixelTrait))
{
channel_mask=SetImageChannelMask(image,AlphaChannel);
status&=LevelizeImage(image,black_color->alpha,white_color->alpha,1.0,
exception);
(void) SetImageChannelMask(image,channel_mask);
}
}
return(status != 0 ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i n e a r S t r e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LinearStretchImage() discards any pixels below the black point and above
% the white point and levels the remaining pixels.
%
% The format of the LinearStretchImage method is:
%
% MagickBooleanType LinearStretchImage(Image *image,
% const double black_point,const double white_point,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: the black point.
%
% o white_point: the white point.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType LinearStretchImage(Image *image,
const double black_point,const double white_point,ExceptionInfo *exception)
{
#define LinearStretchImageTag "LinearStretch/Image"
CacheView
*image_view;
double
*histogram,
intensity;
MagickBooleanType
status;
ssize_t
black,
white,
y;
/*
Allocate histogram and linear map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
histogram=(double *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*histogram));
if (histogram == (double *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Form histogram.
*/
(void) memset(histogram,0,(MaxMap+1)*sizeof(*histogram));
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
intensity=GetPixelIntensity(image,p);
histogram[ScaleQuantumToMap(ClampToQuantum(intensity))]++;
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
/*
Find the histogram boundaries by locating the black and white point levels.
*/
intensity=0.0;
for (black=0; black < (ssize_t) MaxMap; black++)
{
intensity+=histogram[black];
if (intensity >= black_point)
break;
}
intensity=0.0;
for (white=(ssize_t) MaxMap; white != 0; white--)
{
intensity+=histogram[white];
if (intensity >= white_point)
break;
}
histogram=(double *) RelinquishMagickMemory(histogram);
status=LevelImage(image,(double) ScaleMapToQuantum((MagickRealType) black),
(double) ScaleMapToQuantum((MagickRealType) white),1.0,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o d u l a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ModulateImage() lets you control the brightness, saturation, and hue
% of an image. Modulate represents the brightness, saturation, and hue
% as one parameter (e.g. 90,150,100). If the image colorspace is HSL, the
% modulation is lightness, saturation, and hue. For HWB, use blackness,
% whiteness, and hue. And for HCL, use chrome, luma, and hue.
%
% The format of the ModulateImage method is:
%
% MagickBooleanType ModulateImage(Image *image,const char *modulate,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o modulate: Define the percent change in brightness, saturation, and hue.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline void ModulateHCL(const double percent_hue,
const double percent_chroma,const double percent_luma,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToHCL(*red,*green,*blue,&hue,&chroma,&luma);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
chroma*=0.01*percent_chroma;
luma*=0.01*percent_luma;
ConvertHCLToRGB(hue,chroma,luma,red,green,blue);
}
static inline void ModulateHCLp(const double percent_hue,
const double percent_chroma,const double percent_luma,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToHCLp(*red,*green,*blue,&hue,&chroma,&luma);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
chroma*=0.01*percent_chroma;
luma*=0.01*percent_luma;
ConvertHCLpToRGB(hue,chroma,luma,red,green,blue);
}
static inline void ModulateHSB(const double percent_hue,
const double percent_saturation,const double percent_brightness,double *red,
double *green,double *blue)
{
double
brightness,
hue,
saturation;
/*
Increase or decrease color brightness, saturation, or hue.
*/
ConvertRGBToHSB(*red,*green,*blue,&hue,&saturation,&brightness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
brightness*=0.01*percent_brightness;
ConvertHSBToRGB(hue,saturation,brightness,red,green,blue);
}
static inline void ModulateHSI(const double percent_hue,
const double percent_saturation,const double percent_intensity,double *red,
double *green,double *blue)
{
double
intensity,
hue,
saturation;
/*
Increase or decrease color intensity, saturation, or hue.
*/
ConvertRGBToHSI(*red,*green,*blue,&hue,&saturation,&intensity);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
intensity*=0.01*percent_intensity;
ConvertHSIToRGB(hue,saturation,intensity,red,green,blue);
}
static inline void ModulateHSL(const double percent_hue,
const double percent_saturation,const double percent_lightness,double *red,
double *green,double *blue)
{
double
hue,
lightness,
saturation;
/*
Increase or decrease color lightness, saturation, or hue.
*/
ConvertRGBToHSL(*red,*green,*blue,&hue,&saturation,&lightness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
lightness*=0.01*percent_lightness;
ConvertHSLToRGB(hue,saturation,lightness,red,green,blue);
}
static inline void ModulateHSV(const double percent_hue,
const double percent_saturation,const double percent_value,double *red,
double *green,double *blue)
{
double
hue,
saturation,
value;
/*
Increase or decrease color value, saturation, or hue.
*/
ConvertRGBToHSV(*red,*green,*blue,&hue,&saturation,&value);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
value*=0.01*percent_value;
ConvertHSVToRGB(hue,saturation,value,red,green,blue);
}
static inline void ModulateHWB(const double percent_hue,
const double percent_whiteness,const double percent_blackness,double *red,
double *green,double *blue)
{
double
blackness,
hue,
whiteness;
/*
Increase or decrease color blackness, whiteness, or hue.
*/
ConvertRGBToHWB(*red,*green,*blue,&hue,&whiteness,&blackness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
blackness*=0.01*percent_blackness;
whiteness*=0.01*percent_whiteness;
ConvertHWBToRGB(hue,whiteness,blackness,red,green,blue);
}
static inline void ModulateLCHab(const double percent_luma,
const double percent_chroma,const double percent_hue,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToLCHab(*red,*green,*blue,&luma,&chroma,&hue);
luma*=0.01*percent_luma;
chroma*=0.01*percent_chroma;
hue+=fmod((percent_hue-100.0),200.0)/200.0;
ConvertLCHabToRGB(luma,chroma,hue,red,green,blue);
}
static inline void ModulateLCHuv(const double percent_luma,
const double percent_chroma,const double percent_hue,double *red,
double *green,double *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToLCHuv(*red,*green,*blue,&luma,&chroma,&hue);
luma*=0.01*percent_luma;
chroma*=0.01*percent_chroma;
hue+=fmod((percent_hue-100.0),200.0)/200.0;
ConvertLCHuvToRGB(luma,chroma,hue,red,green,blue);
}
MagickExport MagickBooleanType ModulateImage(Image *image,const char *modulate,
ExceptionInfo *exception)
{
#define ModulateImageTag "Modulate/Image"
CacheView
*image_view;
ColorspaceType
colorspace;
const char
*artifact;
double
percent_brightness,
percent_hue,
percent_saturation;
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickStatusType
flags;
register ssize_t
i;
ssize_t
y;
/*
Initialize modulate table.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (modulate == (char *) NULL)
return(MagickFalse);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace,exception);
flags=ParseGeometry(modulate,&geometry_info);
percent_brightness=geometry_info.rho;
percent_saturation=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
percent_saturation=100.0;
percent_hue=geometry_info.xi;
if ((flags & XiValue) == 0)
percent_hue=100.0;
colorspace=UndefinedColorspace;
artifact=GetImageArtifact(image,"modulate:colorspace");
if (artifact != (const char *) NULL)
colorspace=(ColorspaceType) ParseCommandOption(MagickColorspaceOptions,
MagickFalse,artifact);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
double
blue,
green,
red;
/*
Modulate image colormap.
*/
red=(double) image->colormap[i].red;
green=(double) image->colormap[i].green;
blue=(double) image->colormap[i].blue;
switch (colorspace)
{
case HCLColorspace:
{
ModulateHCL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HCLpColorspace:
{
ModulateHCLp(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSBColorspace:
{
ModulateHSB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSIColorspace:
{
ModulateHSI(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSLColorspace:
default:
{
ModulateHSL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSVColorspace:
{
ModulateHSV(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HWBColorspace:
{
ModulateHWB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case LCHColorspace:
case LCHabColorspace:
{
ModulateLCHab(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
case LCHuvColorspace:
{
ModulateLCHuv(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
}
image->colormap[i].red=red;
image->colormap[i].green=green;
image->colormap[i].blue=blue;
}
/*
Modulate image.
*/
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateModulateImage(image,percent_brightness,percent_hue,
percent_saturation,colorspace,exception) != MagickFalse)
return(MagickTrue);
#endif
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
blue,
green,
red;
red=(double) GetPixelRed(image,q);
green=(double) GetPixelGreen(image,q);
blue=(double) GetPixelBlue(image,q);
switch (colorspace)
{
case HCLColorspace:
{
ModulateHCL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HCLpColorspace:
{
ModulateHCLp(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSBColorspace:
{
ModulateHSB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSLColorspace:
default:
{
ModulateHSL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSVColorspace:
{
ModulateHSV(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HWBColorspace:
{
ModulateHWB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case LCHabColorspace:
{
ModulateLCHab(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
case LCHColorspace:
case LCHuvColorspace:
{
ModulateLCHuv(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
}
SetPixelRed(image,ClampToQuantum(red),q);
SetPixelGreen(image,ClampToQuantum(green),q);
SetPixelBlue(image,ClampToQuantum(blue),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,ModulateImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e g a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NegateImage() negates the colors in the reference image. The grayscale
% option means that only grayscale values within the image are negated.
%
% The format of the NegateImage method is:
%
% MagickBooleanType NegateImage(Image *image,
% const MagickBooleanType grayscale,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o grayscale: If MagickTrue, only negate grayscale pixels within the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType NegateImage(Image *image,
const MagickBooleanType grayscale,ExceptionInfo *exception)
{
#define NegateImageTag "Negate/Image"
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Negate colormap.
*/
if (grayscale != MagickFalse)
if ((image->colormap[i].red != image->colormap[i].green) ||
(image->colormap[i].green != image->colormap[i].blue))
continue;
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=QuantumRange-image->colormap[i].red;
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=QuantumRange-image->colormap[i].green;
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=QuantumRange-image->colormap[i].blue;
}
/*
Negate image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
if( grayscale != MagickFalse )
{
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
if (IsPixelGray(image,q) == MagickFalse)
{
q+=GetPixelChannels(image);
continue;
}
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=QuantumRange-q[j];
}
q+=GetPixelChannels(image);
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
progress++;
proceed=SetImageProgress(image,NegateImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(MagickTrue);
}
/*
Negate image.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) GetPixelChannels(image); j++)
{
PixelChannel channel = GetPixelChannelChannel(image,j);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[j]=QuantumRange-q[j];
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,NegateImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N o r m a l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% The NormalizeImage() method enhances the contrast of a color image by
% mapping the darkest 2 percent of all pixel to black and the brightest
% 1 percent to white.
%
% The format of the NormalizeImage method is:
%
% MagickBooleanType NormalizeImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType NormalizeImage(Image *image,
ExceptionInfo *exception)
{
double
black_point,
white_point;
black_point=(double) image->columns*image->rows*0.0015;
white_point=(double) image->columns*image->rows*0.9995;
return(ContrastStretchImage(image,black_point,white_point,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S i g m o i d a l C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SigmoidalContrastImage() adjusts the contrast of an image with a non-linear
% sigmoidal contrast algorithm. Increase the contrast of the image using a
% sigmoidal transfer function without saturating highlights or shadows.
% Contrast indicates how much to increase the contrast (0 is none; 3 is
% typical; 20 is pushing it); mid-point indicates where midtones fall in the
% resultant image (0 is white; 50% is middle-gray; 100% is black). Set
% sharpen to MagickTrue to increase the image contrast otherwise the contrast
% is reduced.
%
% The format of the SigmoidalContrastImage method is:
%
% MagickBooleanType SigmoidalContrastImage(Image *image,
% const MagickBooleanType sharpen,const char *levels,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o sharpen: Increase or decrease image contrast.
%
% o contrast: strength of the contrast, the larger the number the more
% 'threshold-like' it becomes.
%
% o midpoint: midpoint of the function as a color value 0 to QuantumRange.
%
% o exception: return any errors or warnings in this structure.
%
*/
/*
ImageMagick 6 has a version of this function which uses LUTs.
*/
/*
Sigmoidal function Sigmoidal with inflexion point moved to b and "slope
constant" set to a.
The first version, based on the hyperbolic tangent tanh, when combined with
the scaling step, is an exact arithmetic clone of the sigmoid function
based on the logistic curve. The equivalence is based on the identity
1/(1+exp(-t)) = (1+tanh(t/2))/2
(http://de.wikipedia.org/wiki/Sigmoidfunktion) and the fact that the
scaled sigmoidal derivation is invariant under affine transformations of
the ordinate.
The tanh version is almost certainly more accurate and cheaper. The 0.5
factor in the argument is to clone the legacy ImageMagick behavior. The
reason for making the define depend on atanh even though it only uses tanh
has to do with the construction of the inverse of the scaled sigmoidal.
*/
#if defined(MAGICKCORE_HAVE_ATANH)
#define Sigmoidal(a,b,x) ( tanh((0.5*(a))*((x)-(b))) )
#else
#define Sigmoidal(a,b,x) ( 1.0/(1.0+exp((a)*((b)-(x)))) )
#endif
/*
Scaled sigmoidal function:
( Sigmoidal(a,b,x) - Sigmoidal(a,b,0) ) /
( Sigmoidal(a,b,1) - Sigmoidal(a,b,0) )
See http://osdir.com/ml/video.image-magick.devel/2005-04/msg00006.html and
http://www.cs.dartmouth.edu/farid/downloads/tutorials/fip.pdf. The limit
of ScaledSigmoidal as a->0 is the identity, but a=0 gives a division by
zero. This is fixed below by exiting immediately when contrast is small,
leaving the image (or colormap) unmodified. This appears to be safe because
the series expansion of the logistic sigmoidal function around x=b is
1/2-a*(b-x)/4+...
so that the key denominator s(1)-s(0) is about a/4 (a/2 with tanh).
*/
#define ScaledSigmoidal(a,b,x) ( \
(Sigmoidal((a),(b),(x))-Sigmoidal((a),(b),0.0)) / \
(Sigmoidal((a),(b),1.0)-Sigmoidal((a),(b),0.0)) )
/*
Inverse of ScaledSigmoidal, used for +sigmoidal-contrast. Because b
may be 0 or 1, the argument of the hyperbolic tangent (resp. logistic
sigmoidal) may be outside of the interval (-1,1) (resp. (0,1)), even
when creating a LUT from in gamut values, hence the branching. In
addition, HDRI may have out of gamut values.
InverseScaledSigmoidal is not a two-sided inverse of ScaledSigmoidal:
It is only a right inverse. This is unavoidable.
*/
static inline double InverseScaledSigmoidal(const double a,const double b,
const double x)
{
const double sig0=Sigmoidal(a,b,0.0);
const double sig1=Sigmoidal(a,b,1.0);
const double argument=(sig1-sig0)*x+sig0;
const double clamped=
(
#if defined(MAGICKCORE_HAVE_ATANH)
argument < -1+MagickEpsilon
?
-1+MagickEpsilon
:
( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
);
return(b+(2.0/a)*atanh(clamped));
#else
argument < MagickEpsilon
?
MagickEpsilon
:
( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
);
return(b-log(1.0/clamped-1.0)/a);
#endif
}
MagickExport MagickBooleanType SigmoidalContrastImage(Image *image,
const MagickBooleanType sharpen,const double contrast,const double midpoint,
ExceptionInfo *exception)
{
#define SigmoidalContrastImageTag "SigmoidalContrast/Image"
#define ScaledSig(x) ( ClampToQuantum(QuantumRange* \
ScaledSigmoidal(contrast,QuantumScale*midpoint,QuantumScale*(x))) )
#define InverseScaledSig(x) ( ClampToQuantum(QuantumRange* \
InverseScaledSigmoidal(contrast,QuantumScale*midpoint,QuantumScale*(x))) )
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Convenience macros.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
/*
Side effect: may clamp values unless contrast<MagickEpsilon, in which
case nothing is done.
*/
if (contrast < MagickEpsilon)
return(MagickTrue);
/*
Sigmoidal-contrast enhance colormap.
*/
if (image->storage_class == PseudoClass)
{
register ssize_t
i;
if( sharpen != MagickFalse )
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(MagickRealType) ScaledSig(
image->colormap[i].red);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(MagickRealType) ScaledSig(
image->colormap[i].green);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(MagickRealType) ScaledSig(
image->colormap[i].blue);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(MagickRealType) ScaledSig(
image->colormap[i].alpha);
}
else
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(MagickRealType) InverseScaledSig(
image->colormap[i].red);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(MagickRealType) InverseScaledSig(
image->colormap[i].green);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(MagickRealType) InverseScaledSig(
image->colormap[i].blue);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(MagickRealType) InverseScaledSig(
image->colormap[i].alpha);
}
}
/*
Sigmoidal-contrast enhance image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
if( sharpen != MagickFalse )
q[i]=ScaledSig(q[i]);
else
q[i]=InverseScaledSig(q[i]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,SigmoidalContrastImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W h i t e B a l a n c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WhiteBalanceImage() applies white balancing to an image according to a
% grayworld assumption in the LAB colorspace.
%
% The format of the WhiteBalanceImage method is:
%
% MagickBooleanType WhiteBalanceImage(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image to auto-level
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WhiteBalanceImage(Image *image,
ExceptionInfo *exception)
{
#define WhiteBalanceImageTag "WhiteBalance/Image"
CacheView
*image_view;
const char
*artifact;
double
a_mean,
b_mean;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
White balance image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
return(MagickFalse);
status=TransformImageColorspace(image,LabColorspace,exception);
a_mean=0.0;
b_mean=0.0;
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
a_mean+=QuantumScale*GetPixela(image,p)-0.5;
b_mean+=QuantumScale*GetPixelb(image,p)-0.5;
p+=GetPixelChannels(image);
}
}
a_mean/=((double) image->columns*image->rows);
b_mean/=((double) image->columns*image->rows);
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
a,
b;
/*
Scale the chroma distance shifted according to amount of luminance.
*/
a=(double) GetPixela(image,q)-1.1*GetPixelL(image,q)*a_mean;
b=(double) GetPixelb(image,q)-1.1*GetPixelL(image,q)*b_mean;
SetPixela(image,ClampToQuantum(a),q);
SetPixelb(image,ClampToQuantum(b),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,WhiteBalanceImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
artifact=GetImageArtifact(image,"white-balance:vibrance");
if (artifact != (const char *) NULL)
{
ChannelType
channel_mask;
double
black_point;
GeometryInfo
geometry_info;
MagickStatusType
flags;
/*
Level the a & b channels.
*/
flags=ParseGeometry(artifact,&geometry_info);
black_point=geometry_info.rho;
if ((flags & PercentValue) != 0)
black_point*=(double) (QuantumRange/100.0);
channel_mask=SetImageChannelMask(image,aChannel | bChannel);
status&=LevelImage(image,black_point,(double) QuantumRange-black_point,
1.0,exception);
(void) SetImageChannelMask(image,channel_mask);
}
status&=TransformImageColorspace(image,sRGBColorspace,exception);
return(status);
}
|
ex7-imbalance-openmp.c | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <omp.h>
#define VALIDATE 1
/* based on the unbalanced example found in
* https://www.astro.auth.gr/~niksterg/courses/progtools/imbalance.c
*/
double *rand_vec(const size_t);
void set_iterations(const size_t, const int, const int, double * restrict);
void iterate(const size_t, const double * restrict, const double * restrict, double * restrict);
void usage(char**);
int main(int argc, char **argv)
{
double *b,*s,*a;
size_t n;
double t0,t1;
if(argc==2)
sscanf(argv[1],"%zu",&n);
else {
usage(argv);
return 1;
}
srand(33); // Based on Pythagoras
s = (double*)malloc(n*sizeof(double));
a = (double*)calloc(n,sizeof(double));
b = rand_vec(n);
set_iterations(n,2,n,s);
printf("Working...\n");
t0 = omp_get_wtime();
iterate(n,b,s,a);
t1 = omp_get_wtime();
printf("Total time taken: %f.\n",t1-t0);
#if VALIDATE
double sum=0;
for(size_t i=0; i<n; ++i)
sum += a[i];
printf("Sum: %f\n", sum);
#endif
free(b);
free(s);
free(a);
return 0;
}
double *rand_vec(const size_t n)
{
double *v = (double*)malloc(n*sizeof(double));
for(size_t i=0; i<n; ++i)
v[i] = (double)rand()/(double)RAND_MAX;
return v;
}
void set_iterations(const size_t n, const int lo, const int hi, double * restrict s)
{
for(size_t i=0; i<n; ++i)
s[i] = (i<100 || !i%279) ? hi : lo;
}
void iterate(const size_t n, const double * restrict b, const double * restrict s, double * restrict a)
{
size_t i,j,k;
omp_set_nested(0); //protect against data races
#pragma omp parallel for schedule(runtime) \
default(none) shared(a,s,b) private(i,j,k)
for(i=0; i<n; ++i)
for(j=1; j<s[i]; ++j)
for(k=1; k<j; ++k)
a[i] += log(j+k)*pow(b[i],4.0)/(n*n);
}
void usage(char **argv)
{
printf("Usage: %s <length>\n",argv[0]);
}
|
search.h | // -*- C++ -*-
// Copyright (C) 2007-2016 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
/** @file parallel/search.h
* @brief Parallel implementation base for std::search() and
* std::search_n().
* This file is a GNU parallel extension to the Standard C++ Library.
*/
// Written by Felix Putze.
#ifndef _GLIBCXX_PARALLEL_SEARCH_H
#define _GLIBCXX_PARALLEL_SEARCH_H 1
#include <bits/stl_algobase.h>
#include <parallel/parallel.h>
#include <parallel/equally_split.h>
namespace __gnu_parallel
{
/**
* @brief Precalculate __advances for Knuth-Morris-Pratt algorithm.
* @param __elements Begin iterator of sequence to search for.
* @param __length Length of sequence to search for.
* @param __off Returned __offsets.
*/
template<typename _RAIter, typename _DifferenceTp>
void
__calc_borders(_RAIter __elements, _DifferenceTp __length,
_DifferenceTp* __off)
{
typedef _DifferenceTp _DifferenceType;
__off[0] = -1;
if (__length > 1)
__off[1] = 0;
_DifferenceType __k = 0;
for (_DifferenceType __j = 2; __j <= __length; __j++)
{
while ((__k >= 0) && !(__elements[__k] == __elements[__j-1]))
__k = __off[__k];
__off[__j] = ++__k;
}
}
// Generic parallel find algorithm (requires random access iterator).
/** @brief Parallel std::search.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __end2 End iterator of second sequence.
* @param __pred Find predicate.
* @return Place of finding in first sequences. */
template<typename __RAIter1,
typename __RAIter2,
typename _Pred>
__RAIter1
__search_template(__RAIter1 __begin1, __RAIter1 __end1,
__RAIter2 __begin2, __RAIter2 __end2,
_Pred __pred)
{
typedef std::iterator_traits<__RAIter1> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
_GLIBCXX_CALL((__end1 - __begin1) + (__end2 - __begin2));
_DifferenceType __pattern_length = __end2 - __begin2;
// Pattern too short.
if(__pattern_length <= 0)
return __end1;
// Last point to start search.
_DifferenceType __input_length = (__end1 - __begin1) - __pattern_length;
// Where is first occurrence of pattern? defaults to end.
_DifferenceType __result = (__end1 - __begin1);
_DifferenceType *__splitters;
// Pattern too long.
if (__input_length < 0)
return __end1;
omp_lock_t __result_lock;
omp_init_lock(&__result_lock);
_ThreadIndex __num_threads = std::max<_DifferenceType>
(1, std::min<_DifferenceType>(__input_length,
__get_max_threads()));
_DifferenceType __advances[__pattern_length];
__calc_borders(__begin2, __pattern_length, __advances);
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__splitters = new _DifferenceType[__num_threads + 1];
__equally_split(__input_length, __num_threads, __splitters);
}
_ThreadIndex __iam = omp_get_thread_num();
_DifferenceType __start = __splitters[__iam],
__stop = __splitters[__iam + 1];
_DifferenceType __pos_in_pattern = 0;
bool __found_pattern = false;
while (__start <= __stop && !__found_pattern)
{
// Get new value of result.
#pragma omp flush(__result)
// No chance for this thread to find first occurrence.
if (__result < __start)
break;
while (__pred(__begin1[__start + __pos_in_pattern],
__begin2[__pos_in_pattern]))
{
++__pos_in_pattern;
if (__pos_in_pattern == __pattern_length)
{
// Found new candidate for result.
omp_set_lock(&__result_lock);
__result = std::min(__result, __start);
omp_unset_lock(&__result_lock);
__found_pattern = true;
break;
}
}
// Make safe jump.
__start += (__pos_in_pattern - __advances[__pos_in_pattern]);
__pos_in_pattern = (__advances[__pos_in_pattern] < 0
? 0 : __advances[__pos_in_pattern]);
}
} //parallel
omp_destroy_lock(&__result_lock);
delete[] __splitters;
// Return iterator on found element.
return (__begin1 + __result);
}
} // end namespace
#endif /* _GLIBCXX_PARALLEL_SEARCH_H */
|
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